Number 2 /2024

 

INTEGRATION OF THE SURICATA INTRUSION DETECTION SYSTEM AND OF THE WAZUH SECURITY INFORMATION AND EVENT MANAGEMENT FOR REAL-TIME DENIAL-OF-SERVICE AND DATA TAMPERING DETECTION AND ALERTING

Gheorghe-Romeo ANDREICA, Iustin-Alexandru IVANCIU, Daniel ZINCA, Virgil DOBROTA

Abstract: This paper addresses one of the cybersecurity challenges posed by the rapid growth of IoT and intelligent transport systems. It aims to develop a security monitoring and alerting system for GPS devices in these systems, integrating the Suricata Intrusion Detection System (IDS) mechanism and the Wazuh Security Information and Event Management (SIEM). The solution is focused on detecting, alerting and real-time monitoring for Denial-of-Service (DoS) and Data Tampering attacks, ensuring robust protection against emerging cyber threats in IoT GPS tracking systems.

Keywords:  Data Tampering, DoS, IDS, IoT, GPS Tracking, SIEM

DESIGN AND IMPLEMENTATION OF A FULL-DUPLEX GROUND STATION FOR THE QO-100 SATELLITE SYSTEM BASED ON SDR AND RASPBERRY PI

Nicolae CRIȘAN

Abstract: This paper proposes an approach based on the Adalm-Pluto SDR and Raspberry PI to design a ground station for geostationary satellite communications. The system is designed from modules to be versatile, agile, and scalable. In this case, the usage of modules is mandatory due to the complexity of the communications system, which simultaneously operates two radio channels at 2.4 GHz for uplink and 10 GHz for downlink. Such a combination with SDR (Software Defined Radio) and classic down and up converters benefits from using a Raspberry PI 4 with a powerful processor running under Linux. The proposed system allows the usage of GNU Radio with its powerful graphical interface written in Python. User interface UI has been undertaken by the Raspberry PI’s most versatile display with a touch screen of 7 inches. Another topic the paper addresses is using the helical antenna in front of the Horn antenna at the same focus point established by the dish reflector. The ground station proposed here has been successfully tested to transmit short radio packages containing data about temperature, atmospheric conditions, and voice.

Keywords:  Software-defined radio, QO-100, Geostationary orbit (GEO), Right-handed circularly polarized (RHCP)

KUBERNETES CONFIGURATION FILES CREATED WITH A PYTHON QUART WEB INTERFACE FOR REAL LIFE SCENARIOS OF KUBERNETES DEPLOYMENTS

Ioan-Alexandru DUMITRE, Szabolcs-Gavril RUGINA, Laszlo-Csongor LENGYEL, Andrei-Bogdan RUS, Virgil DOBROTA

Abstract: This paper presents the development of a web interface using Python Quart to simplify the creation and management of Kubernetes manifest files. The interface allows users to create, update, delete, and manage Kubernetes resources through an intuitive platform. Developed using Test-Driven Development (TDD) principles, the application minimizes errors and improves reliability by ensuring that each component is rigorously tested before deployment. By leveraging Quart’s asynchronous capabilities, it handles multiple requests efficiently, enhancing scalability and performance. Performance tests with Locust and real-time monitoring with Prometheus show the system's ability to manage multiple users and highlight areas for improvement in request latency.

Keywords:  Asynchronous Programming, Docker, Kubernetes, Python Quart, Test-Driven Development, WSL

Number 1 /2024

 

CHATBOT DESIGNED FOR INTERNATIONAL STUDENTS

Carla-Mihaela BULZESCU, Lacrimioara GRAMA

Abstract: The main purpose of this paper is to present a chatbot developed for international students. It provides guidance on a range of challenges, including safety, culture shock, housing, language, and academic notes. For this purpose, a dataset of 72 question-and-answer intents was developed from scratch, designed to assist students. The training phase uses the dataset to create the neural network model. The chatbot makes use of established rules and techniques for natural language processing to predict the appropriate responses to user’s demand. Two Python-based versions of the chatbot are developed: one with a user interface, designed using a Flask server connected to a front-end section, and one with a compiler-based method that can handle speech input and output. Both versions achieved high accuracy during the training phase, suggesting good forecasting for the purpose upon which the chatbot was designed.

Keywords:  chatbot, artificial intelligence, neural network, natural language processing, text to speech

AN ANALYSIS OF THE PERFORMANCE OF DIFFERENT DPSK MODULATION DATA FORMATS USING CROSS-POLARIZATION MODULATION BASED 80 Gb/s ALL-OPTICAL WAVELENGTH CONVERSION IN A SINGLE WIDEBAND SOA

SAROJINI R , SIVANANTHA Raja A, SELVENDRAN S

Abstract: At key optical network nodes the efficient deployment of WDM/DWDM technologies can be made possible by wavelength conversion.  In this research, Cross-Polarization Modulation (XpolM) based All-Optical Wavelength Conversion (AOWC) using wide band Semiconductor Optical Amplifier (SOA) is obtained. The effectiveness of various optical differential phase modulations on wavelength conversion is analysed. NRZ-DPSK/DPSK, 33%RZ-DPSK, 50%RZ-DPSK and 67%RZ-DPSK/CSRZ-DPSK are investigated here. The data rate is 80 Gb/s and the conversion bandwidth is 1.04 nm. The analysis is extended for Linear, Lorentzian and No-approximation material gain simulation models. The NRZ-DPSK performs better in terms of maximum coupled intensity and ellipticity. CSRZ-displays a power spectral gain of up to 12 dB and shows narrower spectral width.

Keywords:  Semiconductor Optical Amplifier (SOA), Cross-Polarization Modulation (XpolM), All-Optical Wavelength Conversion (AOWC), Differential Phase Shift Keying (DPSK), Carrier Suppressed Return-to-Zero DPSK (CSRZ-DPSK)

INTRODUCTION TO CYCLIC CODES AND ILLUSTRATION OF THEIR IMPLEMENTATION THROUGH LINEAR FEEDBACK SHIFT REGISTERS WITHIN A PROGRESSIVE WEB APPLICATION

Ioana Lavinia SOFIA

Abstract: This paper provides an introductory overview of cyclic codes of Hamming type and showcases their effectiveness in detecting and correcting errors in digital communications. Thus, a Progressive Web Application has been developed through React.js and p5.js JavaScript libraries to simulate the coding operations using Linear Feedback Shift Registers. This GUI serves an educational purpose, being used in Information Transmission Theory laboratories so that students could easier comprehend this particular coding scheme. The results obtained highlight the efficiency of developed software application in the e-learning process of cyclic code of Hamming type and its adeptness in error detection and correction within digital communications.

Keywords:  cyclic codes, digital communications, LFSR, React.js, p5.js, Progressive Web Application, GUI

EXTENDED LOCAL BINARY PATTERNS-BASED POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGE CLASSIFICATION

Andreia Valentina MICLEA-CECALACA, Ioana Ilea, Romulus TEREBES

Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) imaging has emerged as a powerful tool for remote sensing applications, providing valuable insights into the physical properties of observed targets. Among various methods employed for PolSAR image analysis, the Local Binary Patterns (LBP) algorithm has gained significant attention due to its robustness and efficiency in texture classification tasks. However, conventional LBP approaches often encounter challenges in capturing complex texture patterns and preserving discriminative information inherent in PolSAR images. In this paper, we propose an integration of the classical Extended Local Binary Patterns (ELBP) method into a framework specifically designed for PolSAR image analysis. The ELBP method integrates advanced feature extraction techniques based on multiresolution analysis to enhance the discriminative power of texture descriptors. By exploiting the polarimetric information embedded in PolSAR images, the ELBP method effectively captures intricate texture characteristics while preserving spatial context. Comparative analyses against state-of-the-art texture analysis techniques demonstrate the efficiency of the ELBP method in terms of classification accuracy.

Keywords:  ELBP, PolSAR imaging, polarization, SVM

WEBRTC AND PJSIP IN ASTERISK: A CLOUD-BASED APPROACH

Denisa-Oana SELIN, Alin-Tudor SFERLE, Tudor-Mihai BLAGA, Daniel ZINCA, Virgil DOBROTA

Abstract: This paper presents our design of launching WebRTC and PJSIP in an IP-based Private Branch Exchange instance running in OpenStack private cloud. This implementation was done using Ubuntu 20.04 LTS-based Asterisk in a Triangle topology (browser-server-browser). The major contributions were the following: (1) design how to integrate open-source software devices working with WebRTC in a private cloud; (2) security and encryption ensured by generating certificates and setting them appropriately in the terminals; (3) metrics monitoring along with call logs available directly in the browser by integrating Asterisk with Grafana Cloud. We had three scenarios: (1) PJSIP-to-PJSIP; (2) WebRTC-to-WebRTC; (3) PJSIP-to-WebRTC.

Keywords:  PJSIP; private cloud; WebRTC

 

Number 2 /2023

 

UHF-RFID ANTENNA FOR SEMI-ACTIVE ASSISTED TAGS

Nicolae CRIȘAN

Abstract: This paper proposes a new concept of using RFID tag antennas more actively in the identification process. This innovative concept is based on antenna native properties that allow RF harvesting for DC biasing, either from the reader or from other proximity RF sources at the same time. Nevertheless, for now, RFID identification tags without a self-DC power supply have become more popular and are referred to as passive. Eventually, both RF and light harvesting processes could be addressed as a foreseeable solution for identification range extension.  Soon this trend will lead to the cheapest (printable) RFID tags at competitive prices closely shifted to those of the already mass-produced barcode tags, mainly in use today. The proposed semi-passive tag antenna is working by replacing the  IMPINJ-MONZA chip with the EM4325 chip which can be DC supplied by a PV panel. This tag can work as RF energy harvester and can be DC biased as well, being the most capable for the proposed concept. The antenna is printed on paper using a metal powder ink printer and the tag is interrogated using a UHF-RFID reader. The harvesting for tag DC biasing is extended through a very small solar panel, which acts also as a substrate for the RFID antenna.  Thus, the extended concept of the semi-active tag could increase the coverage and the sensing range of the reader significantly. This happens especially in daylight or when other nearby RF sources are available, otherwise, the tag will work as an ordinary one. This approach will allow the antenna to be shrunk even further near the Chu-Harrington limit.

Keywords:  Antenna, RFID-tag, radio frequency identification, internet of green things

 

SECURITY ISSUES IN INTERNET OF THINGS BOTNETS: A HIGH INTERACTION HONEYPOT APPROACH

Alexandru LAZAR, Tudor-Mihai BLAGA, Daniel ZINCA, Virgil DOBROTA

Abstract: For a better awareness of the tactics employed by the malicious entities in Internet of Things, a system called Honeypot tricks the attackers into exploiting its “sweet” fake resources. While implementing nine types of devices only six of those were attacked. Despite this, the honeypot managed to capture attacks destined for three devices that were not implemented. Overall, several real-world attacks were captured and analyzed providing different indicators of compromise. No new threats were identified but the server only ran for a short period of time and with limited resources. This approach looks like a promising avenue for creating attacker profiles and collecting data on botnet behavior.

Keywords:  botnet; exploit; honeypot; IoT

 

MOBILE APPLICATION FOR BLE INDOOR POSITIONING

Raul MĂLUȚAN, Bianca BRISC

Abstract: Distance estimation in indoor localization is mainly solved by Received Signal Strength Indicator (RSSI). In our approach, the RSSI is determined empirically, and it’s used to estimate the distance between the user and beacons in a mobile app solution. Trilateration and Kalman filter help obtain better accuracy. The paper proposes a classical solution for indoor localization, but with features like blueprint implementation, Google Maps integration, and manual beacon positioning.

Keywords: localization, Bluetooth low energy, trilateration, beacon

Number 1 /2023

 

A NUMERICAL MODEL FOR I/Q MODULATION/DEMODULATION FOR AN FPGA-ENABLED SDR PLATFORM

Bianca L.M. BOTA, Rareș BUTA, Botond S. KIREI, Calin A. FĂRCAȘ, Sorin A. HINTEA

Abstract: This paper presents a numerical model for I/Q modulation/demodulation implemented in Matlab. This numerical model serves as a starting point for the HDL/FPGA implementation of a baseband processor for a previously developed SDR platform. The numerical model verification is carried out by performing 4, 8, 64, and 256-point QAM transmission over an additive White Gaussian Noise Channel and by comparing numerical and theoretical bit error rates. A partial HDL implementation of the baseband processor is given: the baseband processor generates a 1MHz tone signal that is mixed by the RF fronted, generating a double sideband modulated signal.

Keywords:  Matlab, SDR, IQ Modulator, BER, QAM

 

DDoS ATTACK DETECTION USING SUPERVISED MACHINE LEARNING ALGORITHMS OVER THE CIDDOS2019 DATASET

Daniel ZINCA, Virgil DOBROTA

Abstract: Distributed Denial-of-Service (DDoS) attacks are one of the most common types of cyber-attacks that can cause severe damage to networks and systems. Traditional methods to detect them rely on signature-based Intrusion Detection Systems (IDS), which are limited by the need of prior knowledge of specific patterns and by the usual ineffectiveness against zero-day attacks. However machine learning (ML) algorithms have the potential to support the detection of new and unknown attacks. This article compares the DDoS detection performance of three Machine Learning techniques: Gaussian Naïve Bayes, Logistic Regression and Random Forest, based on validation metrics such as precision, recall and F1 score. The system was trained using three datasets extracted from CICDDoS2019 database. The results proved the detection of attacks at Layer 4 (TCP SYN/ UDP flood), and at reflective Layer 7 (MSSQL, NetBIOS). The Random Forests and Logistic Regression methods achieved a precision between 93.7% and 99.4 % over these three datasets.

Keywords  CICDDoS2019, DDoS, Gaussian Naïve Bayes, Intrusion Detection Systems, Logistic Regression, Random Forest

 

SECURE ACCESS WITH TELTONIKA GPS TRACKING DEVICES FOR INTELLIGENT TRANSPORTATION SYSTEMS

Gheorghe-Romeo ANDREICA, Ciprian STANGU, Iustin-Alexandru IVANCIU, Daniel ZINCA, Virgil DOBROTA

Abstract: GPS tracking devices are widely used in industries like logistics, transportation, and security. However, they are susceptible to cyber-attacks, including Man-in-the-Middle (MITM). This study focuses on Teltonika GPS tracking devices and examines the impact of MITM attacks on their operation. We propose implementing encryption protocols and other measures to enhance the security and resilience of Teltonika GPS tracking devices.

Keywords: GPS Tracking, MITM Attack, TLS/SSL encryption

 

SPATIAL-SPECTRAL CLASSIFICATION OF HYPERSPECTRAL DATA WITH CONTROLLED DATA SEPARATION

Andreia Valentina MICLEA, Mihaela ABRUDAN

Abstract: Exploring spatial-spectral data frequently involves classifying hyperspectral images using convolutional neural networks. Due to the high complexity of the data and the scarcity of available training samples, hyperspectral image classification presents significant difficulties. In the context of supervised classification, we find that traditional experimental designs are frequently misused in the spectral-spatial processing context, resulting in unfair or biased performance evaluation, particularly when training and testing samples are selected at random from the same dataset. Under these circumstances, the dependence caused by the overlap between training and testing samples may be artificially increased, in breach of the data independence assumption upheld by supervised learning theory. In order to prevent an unbiased classification result, we present in this paper a controlled strategy designed to minimize the overlap between the samples present in the training and the testing data sets. The proposed controlled sampling strategy ensures a more trustworthy generalization of the CNN model by minimizing the issues present in the random sampling approach, such as the inability to determine whether or not an increase in classification accuracy is due to the spatial information incorporated into a classifier or to an increase in the overlap between training and testing data sets. Experiments performed with a wavelet CNN on different HSIs, namely Indian Pines, Pavia University, and Salinas, ensure the generalization of the data under the assumption that the training and data sets are independent from one another, based on a controlled strategy. Considering the high dimension of the HSI image, as a pre-processing step, the evaluation of the proposed framework is done by PCA and FA methods.

Keywords: Hyperspectral images, classification, CNN, sampling strategy, hyperspectral image classification, spatial-spectral features, Wavelet

 

 

Number 2/2022

 

LEVERAGING SDN/SD-WAN IN VIRTUAL AND IOT DEPLOYMENTS THROUGH AUTOMATION

Robert BOTEZ, Gabriel LAZAR, Iustin-Alexandru IVANCIU, Virgil DOBROTA

Abstract: This paper proposes a solution for the automation of Software-Defined Networking (SDN)/ Software-Defined Wide Area Network (SD-WAN) testbeds using Infrastructure-as-Code and Configuration Management techniques. Through automation, our solution also aims to reduce the difficulties raised by the implementation of the testbeds in various topologies with several hardware architectures. A virtualized scenario including hosts, switches and an SDN Controller was leveraged by Vagrant and configured using Ansible. We devised a second topology for edge deployments, incorporating multiple Raspberry Pi boards, to validate the interoperability of the solution. The experimental results showed that the highest value of the configuration time represents no more than half of the time needed in case of a manual approach.

Keywords:  Ansible, IoT, ONOS, SDN, SD-WAN, Vagrant.

 

DEEP LEARNING STRATEGIES BASED ON FINE-TUNING. APPLICATION TO MEDICAL IMAGE CLASSIFICATION

Stefania BARBURICEANU, Andreia MICLEA, Romulus TEREBES

Abstract: This research focuses on the use of fine-tuning techniques to analyze various scenarios where some of the learnable layers in a CNN model are frozen and some are fine-tuned. The experimental section involves popular CNN architectures such as AlexNet and Vgg, and analyzes the classification performance of such models by freezing successively the convolutional and fully connected layers. The classification layers in the proposed technique are substituted with new ones that are trained starting with random values, while the other layers are either frozen or fine-tuned. For the frozen layers, the knowledge obtained from training on a vast dataset is applied to the new classification task, whereas for fine-tuned layers, the network parameters are changed to suit the new problem. The goal of this research is to identify the network location that enables the ideal balance between the generality and specificity of extracted features. The experimental study was undertaken using a small public dataset of medical images. The results are also compared against those obtained when fine-tuning is performed for all layers, as well as when all network parameters are directly transferred from pre-trained models for various learning rate values. For the considered models, the point that offered the optimum compromise between specificity and generality was found. The worst results are obtained when no layers are frozen. When utilizing the same weights from the pre-trained model, the results demonstrate that the classification scores may be improved by appropriately modifying the learning rate of the new classification layers.

Keywords: IC verification, adaptive sampling, optimizer

 

MAPPING THE VIRTUAL EDUCATIONAL TOURS FROM AN ECOSYSTEM PERSPECTIVE

Miruna CONŢ , Aurelia CIUPE

Abstract: Recent studies related to Distributed Denial-of-Service (DDoS) attacks were focused on determining how to leverage data plane programmability, enabled by P4 language, to identify intrusions directly in network switches, without the involvement of Software-Defined Networking (SDN) controllers. This facilitates the detection of TCP SYN flooding, for instance, without changing the flow paths through a central controller, therefore increasing the speed for managing workloads. In this paper, we propose a novel mechanism by introducing the capability of P4-based data planes to implement real-time detection and to respond effectively to attacks that require stateful functionalities (e.g., port scan).

Keywords: virtual tour, virtual environment, virtual world, education, exploration techniques, students' opinion

 

A SYN FLOODING DDoS ATTACK DETECTION IN P4-BASED PROGRAMMABLE NETWORKS

Calin-Marian IURIAN, Daniel ZINCA, Iustin-Alexandru IVANCIU, Tudor-Mihai BLAGA, Virgil DOBROTA

Abstract: This paper presents a discrete time simulation procedure of switched mode power supply (SWPS) power stages using Euler’s forward method for numerical integration. Usually, the simulation of SMPS power stages is carried out in PSPICE alike circuit simulators, but sometimes this is inconvenient and slow. The proposed simulation method may be used for educational purposes, whenever a quick and easy illustration of the SMPSs is desired. Furthermore, it can be deployed in the development of digital control algorithm, as the method may be implemented in logic simulators (event driven or delta time simulators). This discrete time modeling procedure can be implemented in any number crunching environment (Matlab, Octave, NumPy, etc.), in a logic (event-driven) simulator or in a simple spreadsheet. The procedure consists in (i) writing the ordinary differential equations (ODEs) of the modelled power stage, (ii) solving the ODE using numerical methods. Several power stage models were developed and simulated: (i) an ideal buck-boost was simulated in MATLAB, (ii) a boost converter simulated in a spreadsheet and (iii) an ideal synchronous buck converter was described in a hardware description language, VHDL. The numerical error between discrete time and PSCIPE simulation results are negligible.

Keywords: DDoS, P4, SDN, TCP SYN flooding, TCP SYN port scan

 

DISCRETE-TIME SIMULATION OF SWITCHED MODE POWER SUPPLIES USING NUMERICAL INTEGRATION FOR EDUCATIONAL PURPOSES

Botond Sandor KIREI, Calin Adrian FARCAS, Cosmin CHIRA, Ionut-Alin ILIE, Marius NEAG

Abstract: This paper presents a discrete time simulation procedure of switched mode power supply (SWPS) power stages using Euler’s forward method for numerical integration. Usually, the simulation of SMPS power stages is carried out in PSPICE alike circuit simulators, but sometimes this is inconvenient and slow. The proposed simulation method may be used for educational purposes, whenever a quick and easy illustration of the SMPSs is desired. Furthermore, it can be deployed in the development of digital control algorithm, as the method may be implemented in logic simulators (event driven or delta time simulators). This discrete time modeling procedure can be implemented in any number crunching environment (Matlab, Octave, NumPy, etc.), in a logic (event-driven) simulator or in a simple spreadsheet. The procedure consists in (i) writing the ordinary differential equations (ODEs) of the modelled power stage, (ii) solving the ODE using numerical methods. Several power stage models were developed and simulated: (i) an ideal buck-boost was simulated in MATLAB, (ii) a boost converter simulated in a spreadsheet and (iii) an ideal synchronous buck converter was described in a hardware description language, VHDL. The numerical error between discrete time and PSCIPE simulation results are negligible.

Keywords: Ordinary differential equations, Logic simulation, Switching converters, Euler’s Method, VHDL

 

Number 1/2022

 

AUTOMATED RECYCLING ARM

Ciprian CIUCIU, Laura-Nicoleta IVANCIU

Abstract: The importance of waste recycling is no longer a secret to anyone. However, the recycling rate in the world is relatively low, people are not interested enough in this problem. This paper the prototype of an intelligent, autonomous system, using live object detection, capable of sorting waste, with a low price and good speed. The waste objects are identified by means of a neural network, implemented on a Raspberry Pi board. The robotic arm, which picks up and transports the detected object into the appropriate bin, is controlled by an Arduino Nano board. The prototype was tested for various types of waste and the encouraging results show that it can successfully be implemented at an industrial scale, as part of waste management solutions.

Keywords:  recycling, robotic arm, waste, object detection

A SYN FLOODING DDoS ATTACK DETECTION IN P4-BASED PROGRAMMABLE NETWORKS

Calin-Marian IURIAN, Daniel ZINCA, Iustin-Alexandru IVANCIU, Tudor-Mihai BLAGA, Virgil DOBROTA

Abstract: Recent studies related to Distributed Denial-of-Service (DDoS) attacks were focused on determining how to leverage data plane programmability, enabled by P4 language, to identify intrusions directly in network switches, without the involvement of Software-Defined Networking (SDN) controllers. This facilitates the detection of TCP SYN flooding, for instance, without changing the flow paths through a central controller, therefore increasing the speed for managing workloads. In this paper, we propose a novel mechanism by introducing the capability of P4-based data planes to implement real-time detection and to respond effectively to attacks that require stateful functionalities (e.g., port scan).

Keywords: DDoS, P4, SDN, TCP SYN flooding, TCP SYN port scan.

 

ON COMBINING SEVERAL OPTIMIZATION ALGORITHMS FOR IMPROVING THE EFFICIENCY OF IC VERIFICATION PROCESS

Alecsandra RUSU, Ingrid KOVACS, Bianca CĂRBUNESCU, Marina ŢOPA, Andi BUZO, Georg PELZ, Emilian DAVID

Abstract: In the modeling of complex integrated circuits, the locations of the sampled data points are essential to the success of the verification process. Most of the adaptive sampling methods based on iterative algorithms, that use data acquired from previous iterations to guide future sample selection, are optimization algorithms. An essential consideration of every adaptive sampling method is the trade-off between exploration and exploitation, i.e., the capability of the method to cover the under-sampled parts of the design space, but also focusing on interesting regions. This paper proposes three combinations of existing methods with the purpose of minimizing this trade-off and efficiently characterizing the verification space. Their performance and efficiency were validated on 20 synthetic test functions.

Keywords: IC verification, adaptive sampling, optimizer

 

FEATURE EXTRACTION METHODS BASED ON DEEP-LEARNING APPROACHES. APPLICATION TO AUTOMATIC DIAGNOSIS OF BREAST CANCER

Stefania BARBURICEANU, Romulus TEREBES

Abstract: This paper proposes the use of several pre-trained CNN architectures (Vgg16, AlexNet, and Resnet50) for texture feature synthesis. The information gained from training the models on a very large dataset (ImageNet) is transferred to a new classification problem (where the dataset is rather small) on the premise of transfer learning. For the classification part, the Support Vector Machine is considered. Since in the previous two decades, cancer has become more widespread, and by the year 2020, breast cancer was considered the most common disease on the planet, we are interested in applying the proposed strategy for detecting breast cancer. Various imaging modalities have been developed to diagnose this type of disease, with mammography being the most often employed. However, it is the expert's histological analysis that determines the ultimate diagnosis. As a result, pathologists may benefit from the development of autonomous diagnostic techniques based on computer vision technologies. Thus, a public database with histological images of malignant and benign breast tissues is employed in the conducted experimental analysis. For the same dataset, the present methodology outperforms other classical machine learning methods as well as CNN approaches.

Keywords: medical image classification, deep-learning, breast cancer, disease classification

 

PERFORMANCE EVALUATION OF ELK STACK VERSUS GRAYLOG AS OPEN-SOURCE LOG MANAGEMENT TOOLS

Roxana-Daniela ŞUŞTIC, Alexandra MORARU, Andrei-Bogdan RUS, Virgil DOBROTA

Abstract: This paper proposes a comparison between two log management tools, namely ELK Stack and Graylog, used as proactive measures for keeping track of changes in a network environment. Several experiments were based on performance metrics such as response time, CPU and memory usage, as well as on testing the security, alerting, monitoring, and data visualization capabilities. Performance-wise, ELK was the best solution due to its stability, faster response time and reliability under stress conditions. Graylog, on the other hand, was an easier to maintain, fitting the needs of a centralized log management, being more suitable for security and alerting purposes.

Keywords: containerization; Docker; ELK Stack; Graylog; log management; virtualization

 

Number 2/2021

 

POWER STAGE AND FEEDBACK LOOP DESIGN OF A FLYBACK CONVERTER FOR POWERING AN ELECTRIC SCOOTER

Bogdan Ștefan BUCȘE, Vlad BANDE

Abstract: This document represents a study about designing a power stage and a feedback loop for a Flyback converter – a circuit that is used to charge a battery pack designated for an electric scooter. This converter is designed to supply a 19.5V DC voltage and a maximum of 3.33A at the output of the circuit. The circuit consists of an EMI filter, an RCD Snubber protection circuit, a current mode PWM controller and a feedback loop designed using the TL431 integrated circuit. Its main purpose is to convert a 230V AC voltage to a stable 19.5V DC voltage. The research uses both the mathematical and simulation apparatus to model the behavior of a flyback converter before the physical design procedure. The results obtained will be used as milestones for checking the correct behavior of the real circuit.

Keywords:  flyback converter, power stage, CCM operation, DCM operation, yype II Compensation, TL431

 

DATA MONITORING AND ACQUISITION SYSTEM FOR THE I2C PROTOCOL

Mark Eduard GROSS, Dorin Marius PETREUȘ

Abstract: This paper represents a resume of the study about a data acquisition system for monitoring and debugging an I2C (Inter Integrated Circuit) communication. The system has the role of a sniffer: it does not interfere with the data communicated between the master and slave. It can be connected to only one I2C bus at the time and it sends the data using the USB (Universal Serial Bus) to the computer. The acquired data will be displayed using an interface created in LabVIEW, while also being saved in a separate file. This system consists of a microcontroller with integrated SPI (Serial Peripheral Interface) peripheral and a SPI to USB transceiver. The USB connection will also power the device. The system was only designed and tested for I2C communications up to 400kbit/s (Fast-mode) with a 7-bit address.

Keywords: data acquisition, communication protocol, I2C, LabVIEW

 

A PYTHON-BASED FRAMEWORK FOR ADVANCED RESEARCH AND DEVELOPMENT ON SPECTRUM SENSING FOR COGNITIVE RADIO

George GROSU, Romulus TEREBEȘ

Abstract: The work of this paper is addressing the issue of narrowband spectrum sensing (SS) applications for cognitive radio networks assuming the OFDM signal over noisy and various fading channels with focus on the development of an open-source simulation and development software. The paper also proposes a residual and recurrent convolutional Neural Network (NN)-based method for spectrum sensing. This method is compared with a baseline energy detection (ED) approach. Detection performance of the models is analysed given various Signal-to-Noise Ratio (SNR) values using three-base scenarios. First two scenarios correspond to an additive white gaussian noise (AWGN) channel respectively Rayleigh flat fading channel and the third one corresponds to the frequency-selective Rayleigh fading channel since the SNR value and fading can affect drastically the detection performance in terms of false positives/false negatives leading to erroneous estimators. The experimental results are analysed through the receiver operating characteristics (ROC) plot containing the curves for both ED models enhanced by the denoising methods. On average, the classic ED algorithm with dynamic threshold outperforms the NN-based model, especially in low SNR domains. The NN-based model trained on constrained, tailored dataset characteristics outperforms the classic ED model in scenarios described by the corresponding characteristics.

Keywords: cognitive radio, energy detection, neural network, time series, spectrum sensing, wavelet

 

AUTO DAKAR: A WEB APPLICATION FOR THE MANAGEMENT OF AN AUTOMOBILE REPAIR SHOP

David GRUIAN, Iustin-Alexandru IVANCIU

Abstract: When it comes to an automobile service, it is very important to ensure not only good communication with the customers but also a strong online presence. This paper presents AUTO DAKAR, a highly customizable and easy to use web application designed to provide online visibility for the company and communication methods between customers and the automobile service. The application was developed with Laravel using the Voyager package for backend management, a Heroku server for testing and a DigitalOcean server for production. The experimental results highlight the main advantages of AUTO DAKAR: flexibility, easy maintenance and cost efficiency.

Keywords: automobile service, DigitalOcean, Heroku, Laravel, MySQL, PHP, web application

 

DEVICE LEVEL PROGRAMMABILITY USING RESTCONF PROTOCOL: AN INTRODUCTORY APPROACH

Vlad-Andrei MONORANU, Tudor-Mihai BLAGA, Virgil DOBROTA

Abstract: This paper presents an implementation of a virtualized testbed emulated with GNS3 version 2.2.19, controlled by Postman API client and by Python3 scripts. A GNS3 VM (virtual machine) running Ubuntu acted as remote server for hosting the network devices images. The aim was to involve RESTCONF (Representational State Transfer Configuration Protocol) which uses HTTP requests, as an alternative solution for NETCONF. The scenario included one Cisco IOS-XE-based virtual router CSR1000v 16.6.7 with RESTCONF enabled. By using a GET request on a specified URL, a list of capabilities of the router could be displayed. In the first scenario different other types of requests (PUT, POST, PATCH, and DELETE) have been checked, too. Another two Cisco CSR1000v routers were added in the network topology and their manual configuration was approached in the second scenario. Following static IPs allocations the behavior of the RESTCONF configured router was tested. As proof of feasibility, we enabled OSPF (Open Shortest Path First) routing protocol on all routers, assisting the discovery of neighboring devices. The major outcome of this project was that we were able to get long lists of capabilities that can be split in individual items and reused later for automatic configuration.

Keywords: Cisco router; GNS3; RESTCONF

 

Number 1/2021

 

ACOUSTICAL EVALUATION METHOD OF A CLASSROOM OF THE
TECHNICAL UNIVERSITY OF CLUJ-NAPOCA

Călin FARCAS , Marina TOPA

Abstract: In this paper, a method of measuring and interpreting acoustic quality in a classroom is presented. The acoustics of the
classroom are described by the reverberation time and the objective acoustic parameters that derive from it. The measuring
points were chosen in accordance with ISO 3382-1, so that to obtain an accurate acoustic characterization of the listening area. At
each measurement point, the impulse response was measured and then critical distance, reverberation time, clarity and definition
were extracted. Finally, the values of the objective acoustic parameters were mapped and the results were analyzed
.

Keywords:  acoustic measurements, reverberation time, objective acoustic parameters, critical distance

 

STABILITY OF SEVERAL TYPES OF HIGH FREQUENCY RING OSCILLATORS DEPENDING ON CIRCUIT CONFIGURATIONS AND PARAMETERS

Călin FARCAS , Ramona AGRIJAN, Sorin HINTEA

Abstract: This paper proposes studying the performance of the PLL loop depending on the configurations of the voltage-controlled oscillators used and on the types of ring oscillators. The oscillation frequency depends on the oscillator structure, the size of the CMOS transistors, the supply voltage, the control voltage, and the load capacity. In several configurations, ring oscillators and VCOs were used, with several gate types and several sizes of CMOS transistors. We also added an inverter to the output of the studied oscillators and demonstrated the increase of the robustness of a PLL loop in a larger frequency range. By measurements, we have shown that the oscillation frequency is no longer influenced by the variation of the load capacity. We measured the phase-locked time for the PLL loops and demonstrated that by using the inverter at the oscillator's output to the load, we obtain the shortest time. The implementation and simulation of the circuits used in this paper were performed in the LT Spice XVII simulator. The simulations were performed transiently, with the duration set in such a way that the results are interpreted properly.

Keywords: ring oscillators, oscillation frequency, PLL loop, phase-locked time

 

SECURITY OPTIMIZATION OF IOT PLATFORMS BASED ON NAMED DATA NETWORKING

Dan-Andrei MARGIN, Denisa-Adina MOLDOVAN, Iustin-Alexandru IVANCIU,
Jordi DOMINGO-PASCUAL, Virgil DOBROTA

Abstract: When it comes to developing a smart system involving sensors and actuators, there are two main problems to be addressed: what platform to be used as infrastructure and how to develop the security layer? In this paper, Orion Context Broker (OCB) is chosen for data management, while security layer is composed by Named Data Networking (NDN) and FIWARE modules (IdM KeyRock and Wilma PEP Proxy). The work was focused on data confidentiality and integrity because this is an important aspect of an IoT system. Store capabilities of OCB were extended from one value for an attribute to long term store archive. This approach is benefic for obtaining data necessary for statistics and predictions, where historical data must be used.

Keywords: confidentiality, data archive, FIWARE, integrity, IoT devices, Named-Data Networking, security

 

PLANT DISEASE CLASSIFICATION USING TEXTURE AND COLOUR

Stefania BARBURICEANU, Romulus TEREBES

Abstract: Plant disease detection and classification is an important topic from the precision agriculture domain. Since diseases have a strong negative impact on agricultural production, they must be detected correctly and as soon as possible in order to be able to take the most appropriate measures. We propose a feature extraction technique which uses texture and colour for the classification of plant diseases. The textural content is extracted from grey-scale images, while the colour distribution in the images is generated from RGB samples. The two types of information are derived independently and are fused together through concatenation. For the experimental evaluation, a public database containing real images of healthy and non-healthy plant leaves was used. We considered 4 setups: corn, grape, potato and tomato disease classification. The colour information added by the proposed approach increases the performance compared to using only the textural information. Even if our technique is not able to surpass a joint texture-colour feature extraction method, it provides more efficiency from the computational time point of view. The proposed method is a good compromise between classification performance and computational complexity.

Keywords: image classification, plant disease detection, texture, colour

 

A NOVEL LOCAL BINARY PATTERNS AND WAVELET TRANSFORM-BASED APPROACH FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Andreia Valentina MICLEA, Romulus TEREBES

Abstract: PIn this paper we propose a novel approach for the classification of hyperspectral images based on a parallel architecture. The model is constructed based on different representations of the hyperspectral data along the spatial and the spectral dimensions. On the spatial domain we use Local Binary patterns-based histograms whereas along the spectral dimension of the hyperspectral dataset Wavelet filters are employed. These two descriptors are concatenated in a unique feature vector and a Support Vector Machine classifier is further used for classification. We show in the experimental section that the proposed method improves the accuracy on standard datasets (Indian Pines and Salinas) when compared to similar designs that consider Fourier transform-based descriptors.

Keywords:SVM, hyperspectral, local binary patterns, wavelet, spatial-spectral information

 

Number 3-4/2019

 

BATTERY AS INDEPENDENT POWER SOURCE

Levente SZABO

Abstract: Batteries are charged with energy, they store this energy and give it back if needed. Basically it works through consecutive charging-discharging cycles with a subunit efficiency. Inside the batteries that are in a idle state (not charging and nor discharging) there are particles in motion with electric charge and also there can be reversible electrochemical reactions in both directions simultaneously. Their energy can be extracted under special conditions and used as electric energy. This offers the possibility of using electric batteries as independent sources of electricity. If we add a special electrical circuit to the battery, it will not be necessary to charge it from outside. It will be able to supply a certain amount of energy permanently.

Keywords:  pulse charging, battery , independent power source

 

 

Continuous Operation Monitoring of Electronic Circuits with Embedded Microcontroller

Gyorgy GYOROK

Abstract: Nowadays, it is commonly used when you can query the state of an industrial equipment, appliance, household appliance, vehicle status, technical parameter, using a computer.  In such cases, a certain algorithm running on a computer can be used to query certain archived logs via a built-in interface, or to diagnose the status parameter of a component, or to specify more precisely the errors. For electronic devices, the reliability of the circuits is only provided through the manufacturing technology used. Typically, a goodness-coefficient for an electronic circuit is not measured, and usually no exact method is used to detect the circuit state, the reliability of an electronic circuit. This article describes some details of a research where a microcontroller is used together with the supervised circuit for continuous state monitoring and diagnosis.

Keywords: embedded, microcontroller,state monitoring, diagnosis

 

 

 

Number 2/2019

 

THE MEDIATING EFFECT OF THE BRAND ON THE RELATIONSHIP BETWEEN SOCIAL NETWORK MARKETING AND CONSUMER BEHAVIOR

Sara HASANI, Mahdi BAHAGHIGHAT, Mehdi MIRFATAHIA

Abstract: : In this paper, we investigate the relationship between social network marketing and consumer behaviors. It is a descriptive study with primary focus on practical aspects. To do the task, we conduct a survey based on our proposed questionnaire. The Structural Equation Modelling (SEM) and Smart PLS software are used to evaluate the obtained dataset including more than 384 samples. The results indicate that the brand value has more impact on consumer response as compared to social networks marketing.

Keywords:  social media marketing, consumer behavior, Telegram, Instagram, SEM, PLS.

 

 

DEDICATED APPLICATIONS OF TELEPRESENCE ROBOTS FOR EDUCATION

Paul TOTA, Mircea-F. VAIDA

Abstract: Some companies have launched telepresence robots with applications in education, management, conferences and workshops. Robots available in commerce are somewhat simple, with just one tablet, a smartphone, or a computer at the user. The robot itself is made up of a robot car, a telescope bar, a display (tablet, smartphone, or dedicated crystal display), software and it makes a realistic remote communication that enable the user to interact effectively with the remote environment. A challenge in the field of research and design of telepresence robots is the realization of humanoid robots that allow the human user to connect to the robot through wireless technologies and with sensors to take on environmental sensations and interact with the environment where the robot is. Until such robots become available to the general public, several steps should be taken: solving the balance problems and digital control of the current humanoid robots, customizing the public with robotic humanoid applications, studying the interaction between people and telepresence robots and using the data obtained in the design of robots. In the educational system, telepresence robots can make possible the virtual participation of the students with disabilities, that can’t be transported to school, to the class for taking part at the courses. Also, telepresence robots can be used for multimedia educational projects which involves filming and taking photos in dangerous areas for humans such as: caves, small spaces or areas with radiation.

The problem of the commercial telepresence robots, to be used in education, consists in two elements: they have big dimensions, weight (not easy to carry for kids) and are expensive. In this paper we present three projects as alternatives to commercial telepresence robots. The first two are based on commercial educational kits that are easy to mount, have software installed, but are less flexible for applications dedicated to telepresence robotics. The third project is made with open source components that offer a lot of flexibility at a low price and allows the implementation in the software of the desired mathematical model. We also have analyzed, in this paper, the interaction of secondary and high school students with the telepresence robots, so we have find some future directions of research like: intelligent autonomy dedicated software, a commercial design and the possibility

to be easily personalized for each user or class of students.

Keywords:  telepresence, robot, Arduino, applications, education, television, operator, photography

 

 

NEOTERIC MITIGATION SCHEME FOR PILOT CONTAMINATION IN

TDD MASSIVE MIMO

Jignesh M. PARMAR

Abstract: A future generation wireless networks have rapidly grown that’s demand more power efficiency and spectral efficiency. With This Demand In The Current Scenario, Massive MIMO Have Capable Technology. A Massive MIMO Can Support The Aerials in A Huge Quantity On Each Base Station. For Avoid Interference within & between the cells, All User Should Be Allocated With An Orthogonal Pilot Sequence. Practically Pilot Sequences Are Limited in Number and Therefore as the Number of Users Increases, It’s Not Capable for Each User to Have a Different Pilot Sequence. So, The Same Pilot Sequences Are Reused In Different Cells Which Caused Inter-Cell Interference. This Phenomenon is known as ‘Pilot Contamination”. In This Work we have propose to mitigate pilot contamination by adjoining the soft pilot reuse and weighted graph coloring algorithm to get the maximum achievable rate in uplink massive MIMO system. Simulation results shows that proposed combine method is provide better achievable rate in uplink compare to existing soft pilot and weighted graph coloring pilot decontamination..

Keywords:  5G, Massive MIMO, Time Division Duplexing, Pilot Contamination, Soft Pilot Reuse

 

 

REAL-TIME WATER QUALITY MONITORING SYSTEM FOR RIVERS

A. Sujaya DASGUPTA, B. Madhukar .S. ZAMBARE, C. Nitin KULKARNI, Arvind D.SHALIGRAM

Abstract: Rivers are the major sources of water supply in any city. These rivers have witnessed severe degradation of water quality  owing to heavy industrialization, agriculture, and anthropogenic activities. A consistent rise in pollution is reported due to disposal of industrial effluents, domestic sewage, and agricultural runoffs into the rivers. Since, rivers are the major freshwater sources to any city and the high levels of pollution can be health threatening. Therefore continuous monitoring and analysis of their quality status enable us to send a report to the concerned authorities and further suitable measures can be thereby implemented to reduce the pollution levels. Also, such a system can draw public attention to the water quality status and aid in creating public awareness, also facilitating remote monitoring of water sources, data storage, and analysis in a cloud system. This paper proposes an Internet of Things (IoT) based design for real-time surface water quality monitoring and notification system, measuring the basic water parameters such as pH, temperature, dissolved oxygen, electrical conductivity, total dissolved solids.

Keywords: Real-time water quality monitoring, Internet of Things (IoT), Mula-Mutha

 

 

Number 1/2019

 

EXPERIENCES FROM RUNNING A “HOME-BREW” LABORATORY COURSE AND SETTING UP A NEW STUDENT MEASUREMENT SESSION FOR THE EDUCATION OF SENSORICS

Mihály GÖRBE

Abstract: : This paper summarizes the experiences that accumulated during the 10 semesters of education of the course titled “Physics of Sensors”, and presents a new student experiment for the training at ultrasonic proximity sensors at our sensorics student laboratory. The described pitfalls, needs, misconceptions, ineffective experiments helped to improve this laboratory course. Following the principles used during the creation of the student laboratory experiments, the presented modifications and new setup are implemented in a manner suitable for re-creating and modifying by the inexperienced student or the recently graduated bachelor at hobby or at work.

Keywords:  physics of sensors, sensorics, sensor education, ultrasonic sensors, HC-SR04

 

 

INDUSTRY 4.0 PILOT LABORATORY

Károly SZÉLL

Abstract: By introducing the concepts of the Internet of Things (IoT) and the Cyberphysical System (CPS), industrial automation is undergoing significant changes. These concepts are not entirely new, but in recent years they have become more and more penetrating into industrial automation, placing automation systems in a very different light. They support the latest trends, such as higher level interconnection of system components, cognitive automation, and information gathering and processing in cloud-based applications. The application of IoT's and CPS's ideas in industrial automation has led to the definition of Industry 4.0, where 4.0 refers to the fourth industrial revolution allowed by Internet technologies to create smart products, smart production and smart services. This paper introduces the industry 4.0 pilot laboratory at Obuda University, Alba Regia Technical Faculty.

Keywords:  Industry 4.0, IoT, digitization, smart manufacturing, OPC UA

 

 

ADVANCED NAVIGATION OF AUTOMATED VEHICLES IN SMART MANUFACTURING

Péter UDVARDY, Károly SZÉLL

Abstract: Smart manufacturing or also known as Industry 4.0 is the current trend in automated manufacturing. It includes IoT, cloud technologies, super-flexible automation and cooperative human-robot interaction to name a few aspects. Utilization of Autonomous Guided Vehicles is crucial in successful smart manufacturing. The paper reviews the most widely applied navigation strategies and current research directions related to AGV control.

Keywords:  smart manufacturing, intralogistics, AGV

 

 

BATTERY VOLTAGE RESPONSE TO PULSE CHARGING

Szabó LEVENTE

Abstract: Study of the voltage response of Ni-Cd, Ni-Mh, Lead-acid and Li-Ion accumulators to rising voltage, falling voltage, two load pulses and two pulse trains for specific purposes. The electrochemical system in the battery always oscillates around an equilibrium point. When this state is disturbed by the external environment (electric field), the system tends to return to its original state by amplifying the oscillations around this point. The four types of accumulators behave generally similar, but in particular there are small differences in their voltage response. The particle response to electric field change is manifested by producing an electromagnetic wave that is added to the battery charging or discharging pulses. This wave is completely attenuated after a few oscillations. If the loading pulse period coincides with the period of these oscillations, the oscillations are sustained. The energy of these oscillations can be captured and used. Based on the experimental results, a battery model is proposed that describes the transition periods.

Keywords:  pulse charging, Lead-acid, Ni-Cd, Ni-Mh, Li-Ion.

 

 

 

Number 4/2018

 

A REVIEW OF ECG BASED BIOMETRIC SYSTEMS

Liliana IVANCIU, Paul FARAGO, Sorin HINTEA

Abstract: : In the past years many studies suggested the use of electrocardiogram (ECG) for biometrics. Its unique properties make it particularly interesting for both soft applications as a standalone authentication method and for hard applications as a security enhancement layer. Compared to existing biometric identification systems, ECG is difficult to counterfeit and also provides aliveness indication. This paper presents an overview of the methods used for ECG based biometric systems and discusses the applications and security concerns

Keywords:  biometrics, ECG, fiducial methods, identification, non-fiducial methods

 

 

DECISION BALANCING: PROCESSES IMPLEMENTATION BASED ON PIR SENSOR PERFORMANCES

Aurelian COSTEA, Paul ŞCHIOPU, Marian VLĂDESCU

Abstract: Along with the technological evolution in the field of infrared sensors and the exponential growth of the complexity of the serviced systems having more and more these sensors as components, it becomes increasingly important to decide with which devices a particular solution will be implemented or with which devices a particular maintenance situation will be solved. More and more devices, components and equipment are available on the supplier market, that claim to have similar sets of functional parameters and reliability. It is increasingly difficult to have a well endorsed scientifically detailed image to correctly, reliably and safely chose between all these devices, components and equipment available nowadays.

Keywords:  infrared detection, PIR component, wavelength, beamsplitter detector, micro pyramids, plasmonic, driving circuit.

 

 

EFFECT OF TEMPERATURE ON THE PARAMETERS OF A BULK HETEROJUNCTION ORGANIC SOLAR CELL

Ana BĂRAR, Marian VLĂDESCU, Paul SCHIOPU

Abstract: This paper presents a theoretical study of the effect of temperature on the parameters of a novel polymer blend based organic solar cell, with a bulk heterojunction architecture. The variation of the short-circuit current density, the open-circuit voltage, fill-factor and power conversion efficiency with temperature will be analyzed.

Keywords:  organic semiconductor, organic solar cell, temperature, mobility

 

 

APPLIED BEHAVIOR ANALYSIS OF NORTON AND THEVENIN CIRCUITS

Dumitru CIOFLICA, Adrian TULBURE and Calin PETRASCU

Abstract: The electromagnetic field theory uses the term „state” of the field, while the electronics circuits theory operates with the term „operation mode/regime” of the circuit. In the proposed paper the authors analyze two transient regimes, that take place in the current operation of the power grids:  a) reducing the magnetic field of excitation circuit at the synchronous machine, assimilated to the coil discharging on a no-load grid and b) current supplying on an electric line with load, assimilated to the capacitor discharging on the connected consumers.

Starting from the standard basic models, the mentioned systems are mathematically modeled and simulated in MATLAB and LTSpice in three variants: aperiodical, periodical and critical mode. At the end of the paper a comparative evolution of the state variables u(t), i(t) at the dipoles terminals in different transient regimes is presented. The waveforms were experimentally validated by measurements on the test bench.

Keywords:  power supply system, modeling-simulation, transient regime, Norton and Thevenin schemes, practical validation

 

 

 

Number 3/2018

 

RISKCAM: A SMART VIDEO SURVEILLANCE APPLICATION DESIGN CONCEPT

Elena Roxana BUHUS, Lacrimioara GRAMA, Alexandra DOBRE

Abstract: Fire outbreak, theft, logging, and poaching in the wildlife areas or illegal trespassing in the high security outdoor protected properties are one of the topics that should to be controlled, every day. We present a design concept for a smart application that could be capable of monitoring remote, several events according with the desired configuration and report the detected risk via email alert. This approach can successfully become the next level in surveillance applications based on smart video wireless cameras, since it provides a configurable approach of the application using just one type of wireless camera rather than a dedicated smart camera for each event detection, decreasing the costs. We named our target application RiskCam. Several features were considered for it that imply fire detection, abnormal movement detection (e.g. theft, trespassing), facial authentication and notification via email for the detected alarm (e.g. “Fire present in zone 1!”). We defined and tested the concept in MATLAB, using a modular approach, except the facial recognition module that was developed in C++.

Keywords:  video surveilance, face recognition, fire detection, smoke detection, smart application

 

 

AUTOMATIC CHARACTER RECOGNITION IN PORCELAIN WARE

David Álvarez SANCHEZ, Santiago Garrido BULON, Luis MORENO, Adriana BIRLUTIU, Manuella KADAR

Abstract: This paper presents an automatic serial number recognition system based on computed vision techniques and machine learning. The serial number is engraved on the backside of porcelain ware. The approach uses standard algorithms for digit segmentation and a deep learning approach for the recognition. The system is developed within a project in collaboration with one of the biggest porcelain ware producer in Europe.

Keywords:  Deep Learning, Computer Vision, Digit Recognition, Porcelain

 

 

MICROCONTROLLER’S USING IN MONITORING THE MAINTENANCE SYSTEM OF FLEXIBLE MANUFACTURING LINES

Alexandru NITU, Gheorghe MARC

Abstract: The paper presents a way of improving the interventions of the maintenance department made on the continuous manufacturing lines. The main purpose is represented by decreasing the times of stationaries of the machines and eliminating the loss of production. Using this system, the spent time for each planned reparation will also be decreased

Keywords:  microcontrollers, industrial communications, databases, electronic system for maintenance, management of defects.

 

 

SOLVING MULTIOBJECTIVE OPTIMIZATION PROBLEMS USING A NON-PARETO BASED FITNESS ASSIGNMENT METHOD

Corina ROTAR, Laszlo Barna IANTOVICS

Abstract: Evolutionary algorithms for multi-criteria optimization fall into two major categories: Pareto and non-Pareto based techniques. Pareto techniques explicitly make use of the Pareto optimality concept in the assessment of individuals’ quality. In this regard, the extracting of the non-dominated solutions is a costly procedure in terms of time, but with remarkable results. Non- Pareto techniques avoid the drawback of the Pareto ranking techniques but having weaker performance. We believe that the non- Pareto fitness assignment in evolutionary multi-criteria optimization may be advanced. Therefore, the paper proposes a new procedure for fitness evaluation that accompanies a simple evolutionary algorithm for solving multiobjective optimization. The proposed evaluation procedure determines the potential of each solution to be non-dominated and does not identify the nondominated solutions, thus, the algorithmic efficiency in terms of time becomes superior to the Pareto-ranking based algorithms. The performance of a solution is given by the degree it may contribute to the improvement of the population and does not rely on its Pareto rank. Comparative analysis shows that the proposed evolutionary algorithm has lower complexity and provides better

results than the state of the art algorithm.

Keywords:  Evolutionary Computation, multiobjective optimization, Fitness assignment

 

 

Number 2/2018

 

THE OPTIMIZATION OF TRAFFIC IN URBAN AGGLOMERATIONS

M. GAVRILĂ, I. BOGDAN

Abstract: Traffic jams are very frequent inside crowded cities due to the large number of vehicles. Improving the existing infrastructure entails prohibitive costs, which is why maximizing its use is very desirable. This paper presents a model for the optimization of traffic via dynamic modification of traffic routes in order to minimize the travel time up to the destination. Using dedicated communication capabilities, vehicles can communicate with the infrastructure in order to get updates on the status of the roads or any traffic jams occurring on one of the road segments along the configured traffic route. In a speed-crazed world and using an infrastructure (streets, highways) that failed to keep up in its development – and considering human error – traffic accidents and jams are imminent.

Keywords:  Intelligent Transportation System (ITS), communication protocols, traffic simulator, European Commission, vehicles.

 

 

EXPERIMENTAL SIMULATION OF COHERENT 40 GBPS 2-DPSK DWDM LONG-HAUL FIBER OPTICAL SYSTEM WITH COUNTER-DIRECTIONAL EDFA

Tomáš HUSZANÍK, Ján TURÁN, Ľuboš OVSENÍK

Abstract: High speed and high capacity optical communication systems have become essential for todays high demand. High demand for broadband services and internet applications have been driving the development of optical networks rapidly. Transmission distance of fiber optical communication system can be further increased by incorporating fully optical amplification in the transmission route. The leading technology in optical amplification is based on erbium doped fiber amplifier (EDFA). In this paper we propose the 16 channel Dense Wavelength Division Multiplexed (DWDM) fiber optical communication system with transfer rate of 40 Gbps with counter-directional EDFA in program environment OptSim.

Keywords:  Bit Error Rate, Dense Wavelenght Division Multiplexing, Erbium Doped Fiber Amplifier, Wavelength Division Multiplexing

 

 

A HIGH GAIN DUAL ISM BAND MONOPOLE PRINTED ANTENNA FOR WLAN APPLICATIONS WITH OMNIDIRECTIONAL RADIATION PATTERN

Priyabrata BISWAS, Srija DE, Debasree CHANDA SARKAR, Sushanta BISWAS, Partha PRATIM SARKAR

Abstract: Due to very high traffic in 2.4 GHz WLAN band, dual WLAN band antennas are in great demand. Printable planar antennas are the best choice in this regard due to low-profile structure as it can be best fitted in handheld devices. Antennas designed on FR4 substrate is an added advantage due to low fabrication cost. A dual band monopole antenna is suggested for potential application in wireless communication in 2.4 GHz and 5.8 GHz ISM band. It is a low profile planar antenna fabricated on FR4 substrate of dielectric constant 4.4 and width of 1.6mm. It consists of a rectangular ground plane and a semicircular patch printed on opposite sides of the substrate. The antenna resonates at 2.45 GHz and 5.8 GHz with the bandwidth of 300 MHz and 450 MHz respectively. The antenna shows positive gain and good radiation patterns at these two frequency bands. A prototype of the antenna is fabricated. Measured and simulated data are in good agreement.

Keywords:  ISM Band, High Gain, WLAN, Microstrip Antenna

 

 

DETECTING INDOOR SOUND EVENTS

Toma TELEMBICI, Lacrimioara GRAMA

Abstract: In this paper we present the problem of context awareness for a service robot, based on acoustic analysis. To describe the audio signals, we proposed the liftering Mel frequency cepstral coefficients as features, while for classification the k-Nearest Neighbor is used. The results obtained are illustrated for different number of features, various filtering methods prior classification, different metrics, voting procedures and weighting methods, respectively. The best results are obtained using 37 features, City and Simple Value Difference metric, Inverse Distance voting, Accuracy Based weighting method, and k=3. The correct classification rate is improved from 98.25% to 99.21%, by applying resampling to data before classification

Keywords:  MFCC; kNN; service robot; audio classification

 

 

RADIAL STUBS DESIGN METHOD FOR MICROSTRIP FILTERS BASED ON NONLINEAR EQUATION SYSTEM

Mihai Alexandru ILIE, Liviu VIMAN, Dan PITICĂ

Abstract: The theoretical background behind this paper is focused on radial stubs design for microstrip filters. A radial stub may be seen as a planar component characterized by its radius and angle. Depending on its geometrical parameters, a radial stub may have an inductive or capacitive behavior depending on frequency. Thus, a radial stub is equivalent with a series inductor-capacitor circuit. The actual paper proposes a method of radial stub design using as input parameters the equivalent capacity, inductance and the dielectric material properties. Equivalent inductance and capacity are expressed by a non-linear equation system that requires a numerical solving method.

Keywords:  Radial stub, impedance, non-linear system, numeric method, microstrip, dielectric.

 

 

 ANALYSIS AND COMPARISON OF UNIVERSAL gm-C BIQUAD STRUCTURES

Tomina Fabiola SALAJAN, Iulian CAMPANU, Raul ONEŢ, Marius NEAG, Marina ŢOPA

Abstract: This paper presents a comparative analysis of four multiple-input single-output (MISO) universal gm-C biquads - functional blocks able to implement second-order transfer functions such as low-pass, high-pass, band-pass, band-stop and all-pass without changes to their topology. The analysis focuses on the effects of the parasitic capacitances associated with the unloaded nodes of the biquads - nodes where no capacitance is placed - and the performance of the resulting filters. Performance comparison is based on both analytical analysis and simulation results and considers the orthogonality of the biquads, area and current consumption, how the parasitic capacitances affect the main poles of the transfer function and the capability of a differential implementation.

Keywords:   universal biquad, gm-C, parasitic capacitance, transfer function, complex zero, imaginary zero

 

 

 

Number 1/2018

 

DESIGNING STRAIGHT COAXIAL CONNECTORS FOR FEEDER AND JUMPERS IN CELLULAR MOBILE BASE STATIONS

Mahdi BAHAGHIGHAT, Arash NAGHDEHFORUSHHA, Mohammad Reza SALEHIFAR, Mehdi MIRFATTAHI

Abstract: RF coaxial products are used in wide range of applications  in cellular mobile telecommunication technology. In this paper, a coaxial telecommunication connector is designed for coupling to feeders and jumpers in BTS Mobile sites. The desired frequency range for this connector is 1.7 to 5 GHz. In terms of power transmission, especially when a high power is considered, one of the most important issues is the impedance matching; so designing and implementing a connector with an optimal VSWR is targeted in our work. To this end, we have tried to examine the effect of dimensional changes as well as material changes on this important parameter. Parametric study is used for various dielectric constants to show the VSWR behavior. Our simulation results clearly show that the proposed scheme can be used in practical applications.

Keywords: VSWR, Passive Connectors, Coaxial Connectors

 

 

A NEW ALGORITHM FOR FRACTIONAL BROWNIAN MOTION PROCESSES GENERATION

Paul GAJITZKI,  Alexandru ISAR, Georgiana MAGU

Abstract: The fractional Brownian motion random processes occur widely in nature and are a source of considerable interest in many fields. Sometimes the acquisition of data of this kind is laborious and time consuming. This is the reason why the problem of the generation of the fractional Brownian motion processes is of interest. We present in this paper an algorithm for the generation of fractional Brownian processes based on wavelets’ theory and we analyze the proposed algorithm’s performance. We compare the performance of the algorithm with the performance of state of the art algorithms for the generation of fractional Brownian motion random processes.

Keywords:  : fractional Brownian motion random process, wavelets, stationarity, communication traffic

 

 

CIRCULAR MICROSTRIP PATCH ARRAY WITH SMALL CIRCULAR SLOTS LEADING TO MULTIBAND OPERATION FOR WLAN APPLICATIONS

Rajat G. PANDEY

Abstract: This paper presents the novel design of 4 x 2 circular microstrip patch array antenna centered at 2.4 GHz. Small circular slots are subtracted from the circular patch in order to obtain the multiband operation. The goal of this paper was to obtain multiband operation, reasonable gain and SWR performance for WLAN applications. The proposed design resonates at 2.4 GHz, 3.4 GHz, 3.8 GHz, 5.45 GHz and 6.05 GHz. The size of the antenna is 24 cm x 12 cm. The proposed design includes eight circular patches of identical dimensions with equal spacing between them. Full wave simulation software was used to design and analyze the novel design presented in this paper. The results obtained of Gain, SWR and return loss are depicted in this paper.

Keywords:  Circular microstrip patch, Patch array, WLAN antenna, Antenna, Mutiband

 

 

SEMANTIC ANALYSIS AUDIT IN TRIPLE-ENTRY ACCOUNTING SYSTEMS BASED ON BLOCKCHAIN

Sînică ALBOAIE, Alexandrina RAȚA, Emil HOROMNEA, Mircea VAIDA

Abstract: :  Using the blockchain technologies and keeping at least three parallel accounting records, separately located, has as result the concept of triple-entry accounting.  The triple-entry accounting is not an alternative for the double-entry accounting, but rather part of a solid system when the two types of accounting are combined. Decreasing the cost of managing trusty accounting by using blockchain is a significant advantage, addressing future requirements of accounting. In this paper, we are proposing an audit method based on semantic analysis of blockchain accounting data to gain resilience of accounting against improper (fraudulent) use both on the public and private sector

Keywords: blockchain, triple-entry accounting, semantic analysis, audit

 

 

 

Number 4/2017

 

LINEAR PREDICTIVE CEPSTRAL COEFFICIENTS IN WILDLIFE DETECTION SYSTEMS

Elena Roxana BUHUS, Lacrimioara GRAMA, Corneliu RUSU

Abstract: The paper presents the impact of cepstrum computation in Linear Predictive Coding for audio signals that belong to wildlife areas. In this sense, we compare on diverse number of features both Linear Predictive Coding coefficients and Linear Predictive Cepstral coefficients for the audio signal characterization. The scope is to identify the appropriate number of coefficients for both methods, together with the best method that can provide a certain accuracy within a defined framework, such as an intruder detection system. The experimental results prove that the Linear Predictive Cepstral coefficients method provides a better accuracy for tested scenarios than Linear Predictive Coding. The highest accuracy is obtained using the order of 16 for the predictor filter together with the KStar classifier.

Keywords: LPC, LPCC, KStar

 

 

AUTONOMOUS SCALE MODEL CAR WITH ULTRASONIC SENSORS AND ARDUINO BOARD

Cosmin CIUCIU, Daniel BĂRBUŢĂ, Sebastian SĂSĂUJAN, Emilia ŞIPOŞ

Abstract: An autonomous car is a vehicle that is capable to perceive the environment and navigate without human input. The paper presents the construction of an autonomous scale model car, using ultrasonic sensors and Arduino board. The designed scale model car can follow a predefined route with obstacles and turns, with the automatic change of the wheels steering angle. Data collected from the route is displayed in the smartphone application using a Bluetooth connection. The car passes the route correctly and reaches the finish line in about 30 seconds. 

Keywords:  Arduino board, automatically angle change, autonomous car

 

 

SECOND ORDER POLYNOMIAL FUNCTION IMPLEMENTATION USING ELIN ANALOG BUILDING BLOCKS

Mihaela CIRLUGEA

Abstract: This paper presents an ELIN implementation of a second order polynomial function. The basic building blocks of the proposed circuit consist of a multiplier, an adder and two weighting cells. These blocks were implemented using current-mode log-domain cells. The circuit was implemented using bipolar transistors and the design was validated by PSPICE simulations.

Keywords:  current-mode, ELIN, arithmetic circuits

 

 

MACHINE-LEARNING BASED APPLICATION FOR STAFF RECRUITING

Anca APATEAN, Evelyn SZAKACS, Magnolia TILCA

Abstract: :  The paper presents an application to classify candidates using an average of the results obtained from the use of several independent classifiers, like KNN, LDA, Tree J48 and Naïve Bayes. The main purpose of the classification is to help a company to select a large quantity of CVs by passing them through the application filter. The dataset was constructed with 172 instances (belonging to 17 classes), each characterized by 18 attributes. Information like Education, Experience, Foreign Languages, Programming Languages, Salary Range, Gender, Age and Personal Skills were considered for each candidate

Keywords: classifier, KNN, LDA, Tree, Naïve Bayes, voting, matching score

 

 

A Humidity Sensor Based on Soil Thermal Conductivity

Teodor SUMALAN

Abstract: Measuring soil moisture is one of the most important activities in multiple domains of agricultural activities and industries. This procedure helps farmers to improve their automation systems for watering more efficiently. In the other sense of meaning, soil moisture sensors are devices providing the amount of water retrieved in a volume of soil. This paper presents a prototype of moisture sensor that can measure the quantity of water in greenhouses but useful in different fields of agriculture. The sensor is able to measure the humidity of soil and transmit it to a central processing unit for further reactions. The sensor is based on dsPic30f3012 controller system and can be controlled remotely via a RS485 interface, allowing complex configurations of data acquisition and control. Despite of the imperfections of soil, containing a lot of impurities, using this sensor and the precision improvement techniques implemented, the soil humidity can be successfully evaluated.

Keywords: sensor, soil moisture, humidity, greenhouse

 

 

APPLICATION FITNESS ANALYSIS BASED ON METAMODELING TECHNIQUES – A CASE STUDY: E-BIKE

Alexandra IOSUB , Ingrid KOVACS , Andi BUZO , Jerome KIRSCHER , Georg PELZ , Liviu GORAS , Arcadie CRACAN

Abstract: Performance and behavior verification of electronic components and systems in order to fit applications requirements are indispensable nowadays. There is a particular interest in finding the application yield caused by the process variation of the electronic components and revealing the component’s factors which cause failure in the application. In order to address these two problems, the Failure Probability (FP) estimation of an electronic system is computed, and the impact of component’s factors is analyzed, by considering factors variations as well as various operational conditions. Since FP estimation can be computationally expensive, it is necessary to find more efficient methods. In this paper, we propose a method that can both estimate FP and quantify the impact of factors based on behavioral system modeling and system’s performances metamodeling. FP is calculated by re-sampling the metamodel, hence, converting a small numbers problem into a large numbers problem. A comparison between this method with other existing methods such as counting and distribution fitting is made for an E-Bike case. The results show that the approach based on metamodeling can lead to comparable results with state-of-the-art for FP estimation methods with the advantage of revealing the factors which cause the application failure.

Keywords: Application Fitness, FP, DoE, Distribution Fitting, Metamodeling, E-Bike, SystemC-AMS.

 

 

 

Number 3/2017

 

NUMERICAL MODELING OF CASCADED PHOTOVOLTAIC CELLS IN OPEN SOURCE SIMULATION ENVIRONMENT

Sergiu-Alex RANGA, Botond Sandor KIREI, Marina Dana TOPA

Abstract: This paper aims to provide and easy to understand guide to PV modeling in Scillab/Xcos. It also highlights the importance of the Newton-Raphson method and its role in plotting the P-V and I-V characteristics. The current literature is abundant in Simulink numerical models, but they lack the detailed implementation of the Newton-Raphson method. An important contribution of this paper is the graphical implementation of the Newton-Rapshon method, tailored for solving the current equation of the (cascaded) PV cells.

Keywords: Photovoltaic Array, Scilab/Xcos, P-V and I-V curve, Simulation

 

 

DESIGN FOR SENSOR BASED ON SUSPENDED CORE MICROSTRUCTURED OPTICAL FIBER

Alexandru SCROB, Jean-Louis AUGUSTE, Ramona GALATUS, Lorant SZOLGA, Nicoleta TOSA

Abstract: In the paper is proposed the design for a sensor based on a new three-hole microstructured optical fiber. The simulations show that the size of the core has a great effect on its applicability on both sensing and transmission. The core of the fiber should have the diameter around 1μm to 6 μm and the experimental results prove that the fabricated optical fiber would make a good sensor with losses measured around 4,5 dB/m.

Keywords:  fiber sensor, microstructured optical fiber (MOF), cutback technique for attenuation measurements

 

 

INVESTIGATION STUDY OF FEASIBLE PRIME NUMBER TESTING ALGORITHMS

Mohammed M. ASAD, Ibrahim Marouf, Qasem Abu AL-HAIJA

Abstract: In this expository paper, we describe three primality-testing algorithms: Miller-Rabin, Fermat and AKS primality tests. The first test is very efficient, but is only capable of proving that a given number is either composite or ‘very probably’ prime. The second test is also probabilistic with lower probability and higher execution time. The third test is a deterministic unconditional polynomial time algorithm to prove that a given number is either prime or composite; however, it had no practical applications due to the time complexity O (log5 (n)). Thus, the first primality test is at present one of the most widely used in practice as it run at logarithmic run time complexity O (log (n)).

Keywords:  Prime Number, Fermat Primality Test, Miller-Rabin Primality Test, AKS Primality Test

 

 

FOURFOLD MICROPHONES AREA FOR ACOUSTIC SOURCE LOCALIZATION

Olimpiu POP, Lacrimioara GRAMA, Corneliu RUSU

Abstract: In this paper we present a fourfold microphones area for source localization. The area consists of four shotgun microphones arranged at an angle of 900 between them. The distance between the microphone’s capsules can be changed in a range of 10 ÷ 20 cm. This is needed to study the phase differences between the acoustic signals captured for a given bandwidth. Experimental results based on spectrum and autocorrelation measurements have shown that this area can be used in domestic applications or for wildlife areas intruder detection.

Keywords: microphone, intruder detection, spectrum, correlation

 

 

DISCRIMINATE ANIMAL SPECIES USING CEPSTRAL COEFFICIENTS AND TESPAR ANALYSIS

Petre G. POP

Abstract: Identification of animal species based on the sounds emitted has already proven to be useful in biodiversity assessment but can also be useful in other biological research. Most researchers have used the cepstral coefficients for animal species discrimination. In this paper we explore the use of a combined cepstral - TESPAR analysis, which does not use directly the acoustic signal from animals, but cepstral coefficients derived from it (MFCC and Teager-MFCC) subject to TESPAR analysis, to discriminate between different animal species. Our experiments using this approach together with classification techniques shows that TESPAR S-matrices of cepstral coefficients can be successfully used to discriminate between different animal species, even in the conditions of small sets of training data with small length and different sampling frequencies.

Keywords: animal species identification, cepstral coefficients, TESPAR analysis, Teager energy operator, Random Forest

 

 

 

Number 2/2017

 

ENHANCED INTERACTIVITY IN VIRTUAL TOURS

Catalina MALINCHI, Radu LACATUSU, Aurelia CIUPE, Serban MEZA

Abstract: In the context of immersive environments, interactivity has become a strategy of object manipulation in customized virtual scenes. A new emerging trend has been orientated on the development of integrated solutions, where augmented reality (AR) elements are used for real space representations, specific to the estate industry and intelligent design. The current work presents a gesture-based AR application which uses physical commands to identify and manipulate 3D objects in a 360º virtual tour. A low-cost technical setup has been used for in-lab validation, as an alternative to current VR/AR headsets.

Keywords: Google Cardboard; virtual tour; explorable panorama; augmented reality; explorable panorama

 

 

DEVELOPMENT OF A SPEED CONTROL SYSTEM FOR A DC MOTOR USING A FUZZY LOGIC CONTROLER

Gabriel OLTEAN, Laura-Nicoleta IVANCIU, Horea Alin BALEA

Abstract: The aim of this work is to implement an embedded system for the speed control of a DC motor, using a microcontroller-based development board. The control system is developed around an Arduino Mega board and involves a fuzzy logic system as controller. The implementation offers an easy understanding of the main concepts regarding closed loop systems and embedded systems, operating in real environment. The main achievements of this implementation can be summarized as follows: access for data in relevant points of the system, illustration of the use of some fundamental concepts in modern electronics (magnetic hall effect sensor for RPM measurement, C++ programming, implementation of a fuzzy logic controller), possibility to explore different operating scenarios. The experimental results prove the expected operation of our speed control system.

Keywords:  fuzzy system, speed control, Arduino, embedded system

 

 

PRODUCT DIFFERENTIATION AND USER ENGAGEMENT WITH AR BATTLESHIP GAME BASED APP

Dănuț VÂSC, Șerban Nicolae MEZA, Aurelia CIUPE, Aurel VLAICU

Abstract: This paper reviews the concept of augmented reality (AR) and proposes an innovative use of it in digital marketing. The purpose is to present the steps required for developing an AR app using state of the art resources and then validate its usage as a tool for product differentiation and user engagement. Approaches to user interaction and engagement stemming from the gamification area are also considered and introduced in the app design and implementation. Results regarding the proposed strategy and user feedback on the implemented app are discussed.

Keywords:  Augmented Reality, digital marketing, gamification

 

 

POWER CONSUMPTION AND NOISE MARGIN COMPARISON BETWEEN SIMPLE TERNARY INVERTER AND BINARY INVERTER

Emilia SIPOS, Robert GROZA, Laura N. IVANCIU

Abstract: The paper presents a comparative study between ternary and binary inverters from the point of view of power  consumption and noise margin. Both circuits are supplied with 0.9 Vdc and use the same transistors W/L ratios. Simulations show that the power consumption is smaller for ternary inverter and doesn’t reveal the output voltage edge type. The noise margin is 150mV for the ternary inverter. The results prove that the use of ternary logic is a promising method to design power attack resistant integrated circuits

Keywords: digital circuits, short-circuit power, noise margin.

 

 

Number 1/2017

 

FDTD MICROWAVES SIMULATOR USING ADVANCE COMPUTER GRAPHIC TECHNOLOGIES

Nicolae CRISAN

Abstract: The paper presents several technical issues for finding and rendering solutions for Maxwell’s differential equations. The finite difference time domain (FDTD) method used in the paper is the most wanted numerical analysis for microwaves rendering in the time domain. Nowadays computational electrodynamics (electromagnetics) comes with more advanced and agile techniques used in computer games. Frameworks as DirectX or OpenGL accelerate hardware using graphical processor units (GPUs) and enabling dynamic rendering in real time. These frameworks could be used to speed up the 3D rendering according to the FDTD demands in terms of the framerate, and, bring some new capabilities as rotation, translation, and scaling from computer graphic to computational electrodynamics. The presented software is intended to replace some obsolete graphic technologies or software (like Mefisto-2D or the graphic simulations based on Matlab) which are in use today in universities, for understanding the main properties of the microwaves with new and agiler rendering techniques that are coming from computer graphics world.

Keywords: Computer-aided, FDTD, DirectX, OpenGL, Maxwell’s equations, electromagnetic modeling

 

 

STATE OF THE ART: METHODS FOR VIDEO BASED FIRE DETECTION VIA STATIONARY CAMERA

Elena Roxana BUHUS, Anca APĂTEAN

Abstract: Fire outbreak is a common issue happening in open spaces (like forest areas) and the damage caused by these type of incidents is significant toward nature and human interest in matter of economy. This paper provides an analysis and comparison between several implementation methods from the literature meant to detect fire pixels regions from video input. The fundamental goal of this research is to develop an improved algorithm for fire pixel classification in video sequences.

Keywords: fire detection, RGB color model, YCbCr color model, HSV, Lab, k-means, image processing

 

 

CROWD EVACUATION USING MULTI-OBJECTIVE OPTIMIZATION AND TAKAGI-SUGENO FUZZY LOGIC SYSTEM

Laura-Nicoleta IVANCIU, Gabriel OLTEAN

Abstract: The increased frequency of events with massive numbers of attendants leads to crowd management issues. This paper proposes a system which prevents the occurrence of congestions on the evacuation routes, assuming that the number of persons per location, the sizes of the evacuation routes, and the density on each route are known. A Takagi-Sugeno fuzzy system computes the priorities for each evacuation route, based on its length and width and on the number of persons that are already on it. The allocation of the groups of people on the evacuation routes with the highest priorities is achieved through multi-objective optimization with genetic algorithms, in order to obtain a balanced evacuation of all locations, as quickly as possible. The dynamic of the number of people left in each location is displayed graphically and highlights the correct achievement of the proposed objectives.

Keywords:  crowd management, multi-objective optimization, fuzzy logic

 

 

A METHOD AND SPECIFIC CHALLENGES FOR OBTAINING A HDR HYPERLAPSE FROM STILL IMAGES

Vlad CODÎRLĂ, Aurelia CIUPE, Bogdan ORZA, Șerban MEZA

Abstract: Creating an in-motion time-lapse while moving the camera over significant distances (herein named as a hyperlapse) through an environment with high variance in illuminance poses multiple challenges. Normally, one would have to choose between changing the camera settings between frames, thus causing distorted artifacts, or dealing with the compromise of selection between under-exposed or over-exposed areas during movement, that results in lower fidelity of the captured scene. The current work proposes an approach according to which each frame is batch-captured using varying exposure levels. These exposures are then combined for each frame of the hyperlapse to create a HDR (high dynamic range) hyperlapse suited for display on LDR (low dynamic range) equipment, thus combining two traditionally separate areas of research. Multiple algorithms for combining the images have been experimentally tested and compared based on several metrics: blending workflow, computational requirements and empirical quality assessment.

Keywords: HDR, high dynamic range, hyper lapse, time-lapse, experimental acquisition

 

 

ACTIVE MEASUREMENT OF THE LATENCY IN CLOUD-BASED NETWORKS

Adrian TAUT Iustin A. IVANCIU Eduard LUCHIAN Virgil DOBROTA

Abstract: This paper presents a software tool for the active measurement of the one-way delay (latency) based on cyclic-path delay method in cloud. The principle consists in sending packets from the source node to every node belonging to a multicast group. Copies of the original packet will be forwarded through every possible path in the network before returning to the source node. The original idea is represented by the breaking of the well-known flooding rules which do not allow sending back the packet to the issuing node. The software tool is composed of two modules: one in C for measuring the latency on cyclic paths (packet generation and timestamping) and one in MATLAB for the estimation of one-way delays. The equation system derived from the cyclic-path delays is underdetermined, therefore the estimation of some latencies is needed. The estimation problem is formulated as a constrained optimization problem. The calibration was performed by means of a software tool, previously developed within Unified Communications Labs (UC Labs), where all the authors are currently working. The values of the latencies have a precision of nanoseconds and a good tracking ability of unexpected delay variations. The tool is scalable for both clouds orchestrated by OpenStack and physical networks, regardless of the topology and number of nodes.

Keywords: active measurements; cloud; cyclic-path delay; latency

 

 

Number 4/2016

 

EFFICIENT FPGA IMPLEMENTATION OF AN ADAPTIVE FILTER FOR NOISE CANCELLATION

Ervin SZOPOS, Ioana SARACUT, Horia HEDESIU

Abstract: This paper presents an efficient architecture of the Least Mean Square (LMS) adaptive algorithm implemented as a FIR filter on a reconfigurable platform. The architecture of the adaptive filter was developed with a general structure so it can be used in many applications with minimum limitations. Besides general use, the architecture has the advantage of using optimal hardware resources on the chip. The effectiveness of the proposed architecture is demonstrated on the noise cancelling application, and the performances are evaluated in terms of signal-to-noise ratio (SNR), convergence speed, mean square error (MSE) and hardware usage.

Keywords: FPGA, LMS-FIR, architecture, convergence, SNR, MSE

 

 

EFFICIENT CHAOS-BASED CRYPTOSYSTEM FOR REAL TIME APPLICATIONS

Jean De Dieu NKAPKOP, Joseph Yves EFFA, Monica BORDA, Anton CIPRIAN, Laurent BITJOKA, Alidou MOHAMADOU

Abstract: Nowadays depending on the application domain, the need to protect images against unauthorized users has become a challenge. We previously developed and implemented using Matlab software, a new image encryption algorithm that uses the permutation-diffusion structure. The permutation step was used to shuffle the positions of the pixels within the image, while the diffusion process was employed to improve the security by masking all the pixel values of the image. In this paper we present an implementation of this chaos-based algorithm under Qt environment using the C/C++ programming language to show the practical aspects of its implementation. This implementation also provides the opportunity of selecting three encryption stages to encrypt and decrypt any type of input images. Thus, this allows us to see that the permutation-diffusion structure is required for a secure encryption. In order to prove the efficiency of this algorithm a comparison of the encryption time has been made with the other similar algorithms implemented on Matlab or C/C++. The results show that the proposed approach performs faster with higher security level for the encryption task.

Keywords: Chaos-based algorithm, image encryption; Graphical User Interface; C/C++ programming language

 

 

AN EXPERIMENTAL EVALUATION OF ANALOG TV CABLE SERVICES DISTRIBUTED IN GPON ARCHITECTURE

Radu ARSINTE, Eugen LUPU

Abstract: This paper explores the benefits of GPON (Gigabit Passive Optical Networks) in analog TV services. Analog TV service is still present in the standard triple play distribution architectures, as an effect of unique advantages: simple distribution in an apartment via standard RF splitters, unlimited number of viewing sites, real time behavior by lack of encoding/decoding processes. Of course, the quality is still limited by analogic standards, but the price/performance ratio is unbeatable. The most important parameters characterizing the analog TV performance are described, the network architecture is emphasized. To have a reference, the test architecture is a sub-network of a commercial telecom company. In this case only the quality of TV reception is performed. Using open-source software, and the integrated TV tuner board makes possible to test the levels and S/N ratio for all the analog TV channels of the spectrum. The system opens the possibility to do the same for digital channels in DVB-C standard, with minimal changes.

Keywords: GPON, analog TV, Signal to ratio, cable TV

 

 

INFRARED MONITORING SYSTEM USING MIWI TECHNOLOGY

Gheorghe TURCAN, Nicolai DOBROSTOMAT, Marius NEAG, Marina TOPA

Abstract: This paper presents a wireless data acquisition system for monitoring thermal activity using single- or multiple-point infrared sensors. The wireless capability of the system is provided by Microchip’s MIWI Point to Point protocol implemented by a PIC16LF1937 microcontroller which comprises the MRF24J40MA radio transceiver module from the same company. The received data are sent through the USB port to a PC, where they are processed and plotted by an application developed for this purpose. The application also allows the user to control all components of the systems through a simple GUI. 

Keywords: IR Sensors, Thermal monitors, Wireless, MIWI, Data Acquisition, Microcontrollers

 

 

COMPARATIVE ANALYSIS OF PH CONTROL METHODS

Liliana TOMA

Abstract: The study of pH control is important for the environment as the effluent or wastewater has to be neutralized before being discharged. pH control is considered a challenge due to the highly nonlinear characteristics, time-varying nature and variations in the titration curve.  This paper presents the main methods used to control the pH process. Also, it aims to provide a survey for pH control methods. This is achieved by a thorough comparison which highlights the main advantages and drawbacks for the control methods.

Keywords: adaptive control, fuzzy logic, pH control, PID, process control, neural network

 

 

EXPERIMENTING FEATURES SELECTION METHODS IN WEKA FOR COMPUTER VISION   

Anca APĂTEAN

Abstract: The paper presents the main possibilities to select features by the use of Search and Ranker methods in Weka, from monomodal or bimodal vectors comprising features extracted by 8 different algorithms. How to proceed to run and interpret the results within a number of 12 FS methods, by direct or n-folds CV application.  By considering different threshold values for the feature rank, a number of 48 variants of FS methods resulted and these were applied to 6 different input vectors. All these were compared by the number of selected features and by the balanced accuracy as obtained with a KNN classifier.

Keywords: features selection, crossvalidation, KNN classifier, Weka, Ranker, Search, balanced accuracy

 

ABOUT CONVERTING ACTIVE ANALOG FILTERS TO DIGITAL FILTERS

Lăcrimioara GRAMA, Alexandru LODIN, Corneliu RUSU

Abstract: The goal of this paper is to present the state-space approach used to obtain the digital filter directly from the netlist of the active analog filter. To reach this goal, the state-space approach has been used to obtain the state-space description of the active analog filter. Then the bilinear transformation was recalled to convert from analog domain to the digital domain. The entire approach is available software and the experimental results shown in this work have been obtained using this computer application.

Keywords: state-space, analog to digital conversion, dependent sources

 

 

AN INTEL GALILEO PLATFORM APPLICATION DEVELOPMENT USING MATLAB

Eugen LUPU, Radu ARSINTE, Horea CHIS

Abstract: MATLAB is a powerful tool often employed by researchers in order to simulate or test their applications.  Most often the applications don’t interact with other external hardware, but MATLAB has facilities to communicate with external devices by the means of the I/O ports.  The paper presents an approach for control applications which run on MATLAB and monitor a process interfaced to a Galileo platform. The resources provided by MATLAB allow the user to change and experiment very easily with different control algorithms and to benefit of a very friendly GUI for the applications. This type of application is targeted to educational purposes.

Keywords: MATLAB, educational application, Intel Galileo platform, control algorithm, Arduino

 

 

QUANTIFICATION AND PREVENTION TECHNIQUES OF PROSTHESIS-PATIENT MISMATCH

Radu A. SASCĂU, Cristina OLARIU, Cristian STĂTESCU

Abstract: Aortic valve surgery is now the second most commonly performed cardiac operation because nowdays is found an increasingly elderly population. Echocardiographyc examination (in particular Doppler assessment) is the standard clinical technique for quantifying of hemodynamics after surgical correction of valvular lesion. Analysis can include specifics parameters: mean and peak transprosthetic gradients, dimensionless valve index and effective orifice area (EOA) from the continuity equation. Most patients indication for aortic valve surgery will ‘technically’ have some degree of patient – prosthesis mismatch (VP- PM), but this is sometimes severe. Understanding the techniques by which
echocardiographic imaging and Doppler technique are used to noninvasively assess aortic prosthesis hemodynamics, and the caveats associated with those methods, are useful for cardiologist to differentiate causes of high tranprosthetic gradients and prosthesis dysfunction from other causes of obstruction.
EOA indexated should be measured  in the first 3 weeks postoperatively or at hospital discharge.  Assessing the presence and severity of the phenomenon of mismatch is important because that will affect long-term outcomes. Use of the EOA indexated as a continuous variable may help to define the level of severe VP–PM that results in increased mortality, and this may occur at a critical level of obstruction. Prediction of severity of VP–PM is difficult to estimate, that why, the primary goal should be to prevent severe VP–PM by the use of new generation aortic prosthesis with superior haemodynamics and approach with modern surgical techniques. This article summarizes the means by which echocardiography/ Doppler  technique is used to assess hemodynamics after aortic valve replacement and the potential caveats associated with its use, and proposes an algorithm for the clinical evaluation of high gradients after aortic surgery.

Keywords: :  echocardiography technique, aortic valve replacement, mismatch phenomenon, effective orifice area, transprosthetic gradient

 

 

Number 3/2016

 

DESIGNING EFFICIENT MULTIMODAL CLASSIFICATION SYSTEMS BASED ON FEATURES AND SVM KERNELS SELECTION

Anca APATEAN

Abstract: An efficient classification system uses only the most representative features extracted from images in order to reach a decision. A multimodal system may consider multiple sources of such information. Selecting those features is not a simple task due to the fact that multiple features selection (FS) methods exists, with multiple setup possibilities and multiple possible feature vectors to be applied on. Moreover, by applying the FS, the new vector may comprise too few features and the recognition accuracy to significantly drop. This paper proposes solutions to compensate that accuracy loss by the SVM kernel selection.

Keywords: object classification system, features selection, features extraction, SVM kernel selection, multimodal

 

 

AUTOMATIC PARKING ACCESS USING OPENALPR ON RASPBERRY PI3

Elena Roxana BUHUS, Daniel TIMIS, Anca APATEAN

Abstract: Automatic parking access using a real time embedded system for Automatic License Plate Recognition (ALPR) and access control is common these days in urban commercial spaces, office buildings and other similar public spaces. This paper provides another method for implementing an ALPR system using an open source C/C++ library called Open ALPR, based on OpenCV and Tesseract- OCR. The fundamental goal of the system is to use image processing to identify every single vehicle that goes in and out through the barrier gate parking system. The hardware is implemented with the latest version of Raspberry Pi, and a Pi Noir camera.

Keywords: OCR, Vehicle license plate, OpenALPR, Application Programming Interface (API), Raspberry Pi

 

 

COMPARISON OF SENSITIVITY ANALYSIS METHODS IN HIGHDIMENSIONAL

VERIFICATION SPACES

Ingrid KOVACS, Marina TOPA, Andi BUZO, Monica RAFAILA, Georg PELZ

Abstract: The modern electronic systems grow in complexity as the number of potential factors that affect the systems behavior is increasing. The analysis of such systems can be simplified if the most important factors are identified upfront. Sensitivity analysis addresses this problem. The paper describes and compares six sensitivity analysis methods based on: variance decomposition, One-Factor-at–a-Time screening and regression. The methods are applied on a set of custom functions and a real system from the field of automotive electrical systems: a battery control model. The best performances were obtained by the following methods: the variance-based methods (Jansen and EFAST) and the regression based method.

Keywords: Sensitivity analysis, design verification, factor prioritization, variance decomposition, regression

 

 

OUTSPREADING ENTERPISE CAPABILITIES INTO THE CLOUD – A COMMERCIAL CASE STUDY

Sorin POPA, Mircea-Florin VAIDA

Abstract: Gravitating around the ERP integration concept, the present paper aims to introduce a case study of a world-wide distributed commercial solution, expanding into the cloud to provide ERP empower enterprises with mobility, process automations or workflow management. Motivated by ERP vendor independence and global commercial adoption, its objective is to provide a generic integration strategy, easily scaling between back office environments. Expanding on history and evolution, the paper presents some of the most important integration options, concluding on the adoption results and the strategy perspectives.

Keywords: ERP, cloud, integration, process automation, connectivity

 

 

FUZZY MODELLING OF THE VOLTAGE TRANSFER CHARACTERISTIC FOR THE SIMPLE TERNARY INVERTER

Emilia SIPOS, Laura IVANCIU, Lavinia MICLE

Abstract: Given the fact that the design and especially the manufacturing of some ternary circuits are now possible, using the basic ternary circuit to design more complex ones becomes a necessity. The simulation using models lead to savings of time and money in the design process. The aim of the paper is to model, using fuzzy logic systems, the voltage transfer characteristic for simple ternary inverter, the basic circuit in the design of complex ternary circuits. The obtained fuzzy system provides a correct voltage transfer characteristic.

Keywords: Fuzzy logic system, ternary inverter, voltage transfer characteristic

 

 

OPTICAL SYSTEM USED FOR SORTING APPLES BY SIZE

Lorant SZOLGA, Alexandru SAMSODAN

Abstract: A low cost sorting system by size for apples is presented. This kind of system will be very useful in a more complex sorting machine, where is appropriate to sort the products on their color, dimension or weight. The development of the system relies on the NIR (near infrared) technology and linked with microcontroller data processing. We proposed this technology as an alternative to the more expensive video processing systems. The infrared components were distributed in a 3D fashion in a chamber with black walls. The communication results between the sensors were interpreted by our proposed algorithm for the volume calculus of the apples. The system was tested on different sets of apples and proved to be a reliable one in each case. The final prototype can be used not only for sorting but for calibration too, thus permitting a more accurate sorting. This work will be a good starting point for the next building block of the sorting machine that we are working on

Keywords: NIR (near infrared), sorting, calibration, microcontroller, LED, photodiodes

 

 

Number 2/2016

 

DESIGNING AND IMPLEMENTATION OF A PV POLYCRYSTALLINE PANEL-BASED, TWO-AXIS SOLAR TRACKING SYSTEM

Anca APĂTEAN,  David ABRUDEAN

Abstract: A Solar Tracking System (STS) is developed to minimize the angle of incidence between the sunlight and a photovoltaic (PV) panel surface. The paper presents the designing and implementation aspects in order to obtain a system capable to automatically direct a solar panel to the point of maximum light intensity, considering two axes: North-South (for differences in angle during winter vs. summer) and East-West (over a day). By using the tracking system we developed, the total power generated by the panel is higher than the one obtained by a fixed configuration, the panel efficiency being estimated to increase with 42%.

Keywords: photo-voltaic polycrystalline panel, solar energy, two-axis tracker, photodiode, motors, PCB design, Arduino

 

 

AN INTELLIGENT EYE-DETECTION BASED, VOCAL E-BOOK READER FOR THE INTERNET OF THINGS

Anca APĂTEAN, Flaviu B. DUNCA

Abstract: This paper presents an intelligent vocal e-book reader based on the Raspberry PI, that is remotely controllable through a web interface, being aimed for the Internet of Things. The software was mostly written in Python, but knowledge about HTML/CSS was also used. Images of the user are processed for face and eye detection by classification using LBP image features within OpenCV. To allow the system to accurately function under low light conditions, a light sensor is used in conjunction with a series of leds which are lit up when the lighting in the surrounding room is poor.

Keywords: Internet of Things, machine learning, classifier, intelligent application, image features extraction, eye detection algorithm, Raspberry PI, web interface, Python programming

 

 

AN ADAPTIVE VISUAL DICTIONARY BASED APPROACH TO OLD FILM RESTORATION

Mihaela CISLARIU ,  Mihaela GORDAN , Aurel VLAICU , Monica BORDA

Abstract: One of the major problems for the old films is their degradation due to aging. Over recent years there has been an encouragement for the development of virtual restoration tools, many of them using image processing. In this paper we present a new method of defect detection and virtual restoration of digitized old films frames. The proposed algorithm includes: a machine learning based small defect detection, combined with an adaptive matching pursuit algorithm for the small defects removal. The results are presented showing the good performance of the proposed solution and its suitability for virtual restoration of some digitized films

Keywords: old movie, matching pursuit, fuzzy logic, logistic model trees, defect detection, defect correction

 

 

SLIDING MODE CONTROL OF BUCK CONVERTERS FOR IMPROVED TRANSIENT RESPONSE

Cristian ORIAN, Dorin PETREUŞ, Radu ETZ

Abstract: The following paper describes a method to design a sliding mode (SM) controller for a dc-dc converter. It focuses on producing an aperiodic response and a controlled settling time. The method can be used for a given set of disturbances, and thus lends itself to subsequent worst case or weighted convex optimization solutions. The impact of an analog to digital converter is presented. Additionally, the restriction of the switching frequency, a challenge particular to sliding mode control (SMC), is discussed. The work comprises Mathcad modeling, Psim simulation and experimental results. The control block was implemented on an Artix 7 FPGA

Keywords: sliding mode control, aperiodic response, time costant, dc-dc buck converter, nonlinear control

 

 

EXPERT SYSTEM FOR RECEIVER ARCHITECTURE SELECTION

Laura-Nicoleta IVANCIU, Gabriel OLTEAN

Abstract: Selecting the architecture of a radiofrequency receiver is most often a truly tedious task, as it involves certain constraints that need to be met. This paper proposes an innovative method for choosing among various types of architectures, using a fuzzy expert system.  It works with a set of rules, derived from the known characteristics of a finite number of possible receiver structures. The system suggests the architecture that best fits the requests, and also justifies the answer. The proposed solution makes a perfect tool for beginners or for educational purposes, as it also provides explanations regarding the reasoning process. The system proves to be a reliable and robust one, as demonstrated through various testing scenarios.

Keywords: expert systems, fuzzy logic, RF receiver architecture

 

 

COMPARATIVE ANALYSIS OF DIFFERENT STRUCTURES OF CHAOS-BASED CRYPTOSYSTEMS: A SURVEY

Joseph Yves EFFA, Jean De Dieu NKAPKOP, Mihaela CISLARIU, Monica BORDA

Abstract: In recent years the interest for image encryption based on chaotic maps has become a major concern. In this paper, we evaluate each step of the process used in image encryption based on chaotic maps. In an attempt to give an answer to each of the issues raised, we perform experiments and we analyze performances of a few chaos-based cryptosystems by using common analytical criterions like entropy analysis, correlation coefficients, key space, key sensitivity, number of rounds, etc. By evaluating the results, the study shows that majority of schemes that rely on converting chaotic values in real numbers are time consuming. For real-time applications, it is important to improve image encryption schemes by reducing the cyclic digitization of chaotic numbers in the generation of permutation and diffusion keys.

Keywords: Image encryption, permutation only, diffusion, permutation-diffusion, combining permutation and diffusion

 

 

SECURE ACCESS SYSTEM ON THE QorIQ NXP PLATFORM USING RSA AND DSA

Raul MALUTAN, Mircea POP, Mihaela CISLARIU, Monica BORDA

Abstract: Secure data transmission can be achieved using encryption algorithms. Combining these algorithms with authentication or communication protocols one can achieve a more secure system. Using at one of the ends a configurable platform, the system will be more scalable and the advantages will increase by adding multiple options for extension. The work proposes a secure communication ensured by RSA algorithm together with DSA between a NXP QorIQ P1025 board or an x86 machine as client and an x86 machine as server. The NTP protocol was implemented to compare the clock from the client with the clock from the server.  

Keywords: security, RSA, OpenSSL, authentication, encryption, decryption, semiconductors

 

Number 1/2016

 

MIGRATION OF AN SDN-BASED TESTBED INTO A PRIVATE CLOUD: AN OPENSTACK APPROACH

Eduard LUCHIAN, Iustin A. IVANCIU, Andrei B. RUS, Gabriel LAZAR, Virgil DOBROTA

Abstract: The paper discusses an example for the migration of a Software-Defined Networking-based testbed into a private cloud. The software solution is entirely open-source and starts from an existing 4-node real implementation in OpenFlow. The OpenStack approach employs the same topology, while running OpenvSwitch on each virtual node. The Beacon controller which governs the SDN implementation is also virtualized. Preliminary results show that the migration is feasible and also it is very promising for the need of composing systems of systems in the Future Internet.

Keywords: OpenFlow; OpenStack; private cloud; Software-Defined Networking

 

 

ZIPMAP: LOCALIZING MULTIPLE POINTS OF INTEREST - MAPS AND STATISTICS

Julia FERENCZ, Orsolya PENZES, Gyula USZKAI, Florina DUDU, Evelin HORVATH, Florian Mircea BOIAN, Remus ORASAN

Abstract: Geocoding has gained in recent years a great importance in fields as environment, ecology, engineering and public health. There have been software applications developed, which, using geocoding, generate different maps based on postal codes or coordinates considering users’ preferences, but rarely conduct further various analysis. Localizing points of interest on a map and analyzing then the coverage area can be the start of a wide variety of research and statistics. These rare applications can be usually downloaded for a fee. Our application, ZipMap, is a free web based application which can be accessed and used for generating different types of maps using postal codes as points of interest. Using postal codes to generate maps is more user friendly, because this information is more accessible and less time consuming then using latitude and longitude. Also, the maps can be divided in smaller units, such as Federal States, counties, districts and also postal codes. Beside map generation, individual statistics can be generated regarding different incidences. Excel files can be downloaded containing the number of hits for postal code and theoretical incidences regarding geographical areas and population. The field in which this application has been used until now is the medical field. Hospitals can upload their patients’ postal codes. The generated maps then show the coverage area of a hospital, which are the locations from where most patients come to the specific hospital. This can be analyzed and the hospital can then take actions in order to absorb more patients to the unit. This is just an example of how useful our applications’ results can be in fields that influence everyday life quality or important marketing or state decisions.

Keywords: maps; point of interest; coverage area; zip/postal codes; geocoding

 

 

A BAND PASS FILTER FOR THE 436 MHZ BAND

Adrian DONE

Abstract: To reduce interference, on the satellite receivers input, in the signal band the intercalation of a filter with the smallest possible insertion loss (less than 1 dB) is necessary , but with an attenuation out of useful band as high as possible. In designing, a series of data was obtained through simulation that allowed the practical execution of some filters. The filter series is composed of a filter with one l/4 coaxial segment, with 3 l/4 coaxial cells capacitive coupled, a 5 cell interdigital filter inductively coupled, with fixed input and output, and a capacitive coupled interdigital filter adjustable both at the input and output.

Keywords: filter 435 MHz, coaxial filter, interdigital filter

 

 

DEVELOPMENT OF THE NEW ELF/VLF RECEIVER FOR DETECTING THE SUDDEN IONOSPHERIC DISTURBANCES

Le MINH TAN , Keyvan GHANBARI

Abstract:  The Extremely Low Frequency (ELF; 3 – 3000 Hz) and Very Low frequency (VLF; 3 – 30 kHz) technique is useful for studying the D-region ionosphere of the Earth. Based on our previous receiver, we developed a new ELF/VLF receiver with three main parts: loop antennas, amplifier and data logger. The antenna includes two loops which are right isosceles triangles with the base of 2.6 m. Each loop consists of 8 turns of 18 AWG copper wire. A surface of one loop orients the direction of North - South, the surface of other loop orients the direction of East - West. The developed amplifier with two channels has the flat frequency response in the frequency range of 1 – 20 kHz. The amplified signals are digitized by a standard sound card with the sampling rate of 96 kHz and calibrated by 1 PPS of the GPS receiver. UltraMSK software has been used to detect the Sudden Ionospheric Disturbances (SIDs). To demonstrate the ability of instrument, we recorded and analyzed the SID events during 2013 - 2014 at a low-latitude station, Tay Nguyen university (TNU), Vietnam (Geog. 12.65o N, 108.02o E). The results in the daytime Wait’s

parameters are in accordance with the other authors’ results.

Keywords: ELF/VLF receiver, frequency response, EIWG, tweek atmospherics, solar flares, SIDs, Wait’s parameters

 

 

CHURN PREDICTION IN THE TELECOMMUNICATIONS SECTOR USING NEURAL NETWORKS

Ionut B. BRANDUSOIU, Gavril TODEREAN

Abstract: One of the main concerns of telecommunications companies is the subscriber retention. This sector has an annual churn rate of approximately 30% and is on top of the list. Since it is more costly to acquire a new subscriber than to retain an existing one, it is important for these telecommunications operators to identify subscribers that are at risk of churning by using predictive models. In this paper, we present an advanced methodology that predicts churn in the pre-paid mobile telecommunications industry by applying our own neural network architecture on a dataset that contains call details records. We use the gain measure and the ROC curve to evaluate the model.

Keywords: call details records, churn prediction, neural networks, telecommunications

 

 

SUPERVISION OF A PHOTOVOLTAIC SYSTEM FOR MAKING IT TRANSPARENT IN UNPREDICTABLE WEATHER

Serge Maxime FONOU, Dorin PETREUS, Martin KAMTA, Khalil KASSMI

Abstract: It is well known that the photovoltaic source remains intermittent, since it depends on unpredictable weather. In order to overcome this inconvenient in the case of standalone photovoltaic system, a solar battery is often used. However, the black dot of a photovoltaic system with battery is the guarantee of their lifetime according to manufacturer's forecast. This lifetime is uncertain when the photovoltaic system is supervised by users. In this paper, a supervising algorithm of a photovoltaic power supply source has been developed and simulated in Proteus environment for making it transparent to the users.

Keywords: Microcontroller system, Standalone photovoltaic system, Numeric simulation, Management of photovoltaic energy.

 

 

Number 4/2015

 

ON DATA ORGANIZATION AND COLLECTION POLICIES IN THE INFORMATIONAL SYSTEMS OF THE GERMAN CANCER SOCIETY’S CERTIFICATION PROGRAM

Julia FERENCZ, Christoph KOWALSKI, Victor BADIC, Orsolya PENZES, Sebastian DIENG, Andreas KÄMMERLE, Simone WESSELMANN

Abstract: In order to improve the quality of treatment for cancer patients, the German Cancer Society implemented the certification of cancer centers, including rigorous data collection. The data are reviewed following a systematic collection-verification-storage-reporting pathway to make them usable for analyses of care quality across centers and improving of the certification criteria. The assessment of the input data from the centers leads to several output products for the centers.  Our example shows that high quality data managing processes in a newly-established, growing certification system need to be constantly reviewed and formatively evaluated over time, requiring lots of efforts and resources.

Keywords: German Cancer Society; data collection; database; benchmarking; health care; certification

 

 

AN ENHANCED PRE-AMPLIFIER FOR COCHLEAR IMPLANTS

Vipan KAKKAR, Suhaib AHMED, Sakshi KOUL

Abstract: Analog pre-amplifier for microphone used in cochlear implants, having improved biasing technique has been described. This low-noise circuit relaxes the ADC design requirement, which is designed to replace the input stage of existing Σ/Δ modulators, and has a differential voltage output. Except for the microphone, it needs no external components and uses only two input pins. This input stage achieves a signal to noise ratio of better than 80dB in a frequency band of 100 Hz-10 kHz at a 90dB SPL input. The Total Harmonic Distortion of the circuit is around -60dB at a 90dB SPL input signal with a frequency of 1 kHz. The power consumption of the input stage is 74μA excluding the microphone DC bias current. This circuit is primarily designed for use with microphone cartridges for cochlear implants.

Keywords: Biasing circuit, Distortion, Electret microphone, Low Power, Sigma-Delta Modulator

 

 

THE GENERATION OF THE RESONANCE PHENOMENON IN ACCUMULATORS THROUGH CHARGING PULSES

 Levente SZABÓ

Abstract: Inside the process of charging batteries with pulses, besides the desulfation phenomenon, there is also another phenomenon,  that is caused by the abrupt slope of the pulse. This fact is shown in the signal forms obtained from precise voltage measurements between the battery electrodes.  During the transition periods of pulses at microscopic level there is a succession of consecutive and parallel processes,  that change from the state of equilibrium to state of charge. If we choose properly the pulse for charging, the system can go in state of resonance.

Keywords: Resonance With Pulses, Charging Of Accumulators, Lead-Acid Battery

 

 

IONOSPHERIC HF CHANNEL MODELING AND END-TO-END HF SYSTEM SIMULATION

Oana Aronia MURESAN, Andra PASTRAV, Emanuel PUSCHITA, Tudor PALADE

Abstract:  HF frequency band, lying within 1.6-30 MHz, is very important from data communications point of view and is unique in its property that it is refracted by the ionosphere. The main advantage of HF communications is their ability to enable data transmission over very long distances using ionospheric propagation paths without any preexisting infrastructure, making them suitable for many applications. This paper presents a detailed study regarding the modeling of a low latitudes and moderate conditions channel and its integration in an end-to-end system using the software environment VSS from National Instruments in co-simulation with MATLAB. This channel model considers that the channel fading is characterized by a Rayleigh distribution, which assumes that the magnitude of a signal passing through a communications channel will vary randomly. The ionospheric channel model is simulated through the MATLAB block, using the specific parameters of the low latitudes and moderate conditions channel, according to the Recommendation ITU-R F.1487. The simulation results illustrate the received signal attenuation level at the receiver after its propagation through the modeled ionospheric HF channel.

Keywords: HF channel modeling, ionosphere, co-simulation, NI AWR VSS, MATLAB

 

 

DETERMINATION OF THE TEC PARAMETER BASED ON GPS RECEIVED SIGNALS

Alexandru POSTINIUC, Andra PASTRAV, Emanuel PUSCHITA, Radu ARSINTE, Tudor PALADE

Abstract: The scope of this paper is to provide a method to determine the variation of the TEC of the Ionosphere by means of GPS received signals. The solution makes use of dual carrier phase and pseudo-range measurements from a terrestrial receiver, stored in specific RINEX files. The implemented algorithm processes the data and provides the variation of TEC and TEC gradient. For a considered period of time, the TEC variation indicates the behavior of the Ionosphere allowing a better modeling of the radio channel.

Keywords: TEC parameter, Ionosphere, channel modeling, GPS signals, MATLAB implementation

 

 

ELIN PROGRAMMABLE GAIN AMPLIFIERS

Mihaela CIRLUGEA , Lorant SZOLGA

Abstract: This paper presents the ELIN (externally linear internally nonlinear) method for designing a PGA (programmable gain amplifier) using MOS multiplying and weighting cells. This procedure is useful, for instance, in case of VLSI support vector machine classifiers that require many circuits for performing calculations, with high density but need good performances. This method is useful for SVM architectures because it requires simple nonlinear cells for an extended operation range. The procedure is good for weighting from 20 to 2-6.

Keywords: current-mode, ELIN circuits, log-domain, PGA (Programmable Gain Amplifier), modular analog VLSI design, LIN-ELIN transformations.

 

 

CLUSTERING FOOD RECIPES USING A FLOWER POLLINATION-BASED METHOD

Viorica R.  CHIFU, Cristina Bianca POP, Ion SALOMIE, Andreea ACZEL

Abstract: This paper models the clustering of documents containing food recipes as an optimization problem which is solved using a Flower Pollination-based method. The first step of this method consists in preprocessing the documents describing food recipes using natural language techniques, while the second step consists of representing the preprocessed documents using vector space models. The vector space model representations of the documents containing food recipes are further submitted to the Flower Pollination-based clustering algorithm which clusters the documents based on their content similarity. The content similarity between two documents is evaluated using the cosine similarity measure. The proposed method has been evaluated on a set of food recipes documents available in the RecipeML format.    

Keywords: food recipes clustering, Flower Pollination Algorithm, tf-idf, cosine similarity.

 

 

Number 3/2015

 

USING A PLC TO COMMAND A PLASTIC INJECTION MOLDING MACHINE

Anca APATEAN, Carmen MISAROS

Abstract: In the present paper, a control system for a Plastic Injection Mold Machine was proposed by using a Programmable Logic Controller (PLC) of type IMO iSmart ED-RD-20. The PLC is intended to be implemented in an automated industrial system to yield plastic products, such as flowerpots. For the practical implementation of a prototype of the system, besides the PLC, a power source (24 V DC), a temperature sensor, two DC motors, LEDs for signaling the inputs and outputs states, switches and buttons were also used. The project was realized in the Ladder Diagram (LD) language, comprising 8 LD programs and was simulated with the software simulator SMT.

Keywords: programmable logic controller, ladder diagram, plastic injection molding machine

 

 

WEB HARVESTING AND SENTIMENT ANALYSIS OF CONSUMER FEEDBACK

Emil St. CHIFU , Tiberiu St. LETIA , Bogdan BUDISAN , Viorica R. CHIFU

Abstract: This paper presents a technique for detecting, extracting and evaluating customer reviews given to online products or services. The technique proposed consists of a web harvesting algorithm and a sentiment analysis method. The web harvesting algorithm extracts customer reviews from Web pages. It extracts reviews given to online products or services, while the sentiment analysis method uses the data returned by the web harvesting method in order to evaluate the opinion polarity of the customer reviews. The technique proposed is intended to work generically, for the reviews and feedback of any given list of URLs which point to web pages where such data is available.

Keywords: feedback, web harvesting, sentiment analysis, opinion-bearing, SentiWordNet.

 

 

DESIGN AND TESTING OF AN AUTOMATED RECEIVING SYSTEM FOR THE IONOSPHERIC SOUNDING IN HF RADIOFREQUENCY RANGE

 Paul BECHET, Radu Mircea SCORTAR, Teodor TODOROV, Blagovesta BONEVA, Simona MICLAUS

Abstract: The paper presents a system designed for automatic measurement of signal level in ionospheric channels based on a spectrum analyzer controlled by a software application developed for fast and flexible sounding. It enables choosing of desired frequencies, bandwidths, times and duration of monitoring and customized recordings. The measured values of two ionospheric channels were compared against the ones provided by the prediction of the commercial application Voice of America Coverage Analysis Program (VOACAP). Sounding recordings proved that automatic measurement is able not only to assess realistic received power versus time continuously but also to distinguish fading periods.

Keywords: continuous ionospheric channel monitoring, signal to noise ratio, ionospheric channel power, HF automatic receiving system

 

 

AN ECG ARTIFACT REDUCTION METHODOLOGY BASED ON PARAMETER ADAPTATION OF ANALOG FILTERS

Paul FARAGÓ , Claudia FARAGÓ , Sorin HINTEA

Abstract:  Portable and wearable bio-medical monitoring systems operate towards in-vivo acquisition and analysis of bio-potentials in ubiquitous healthcare. A challenge which needs to be addressed is artifact suppression. This article proposes a solution for electrocardiogram (ECG) artifact reduction via tunable analog filtering. An electronically tunable operational transconductance amplifier was developed to implement a Kerwin-Huelsman-Newcomb (KHN) biquad. A filter parameter adaptation methodology was implemented on a feed-forward control loop, to determine the filtering characteristics for frames of ECG signal. Simulation results validate the proposed methodology for ECG artifact reduction.

Keywords: ECG analog front-end, operational amplifiers, Kerwin-Huelsman-Newcomb (KHN) biquad, feed-forward control, parameter adaptation

 

 

DEVELOPMENT OF A HOME TEMPERATURE CONTROL UNIT BASED ON A MODEL PREDICTIVE CONTROL STRATEGY

Ciprian LAPUSAN, Radu BALAN

Abstract: The paper presents the development of a home temperature control unit that aimed to replace standard residential building temperature control units with one which has superior performance and improves the comfort for occupants. The new developed system integrates a model predictive control strategy and building model online identification algorithms that assure a large applicability for different buildings. The implementation of the control unit is performed using the Discovery development board. For testing the control unit a Hardware in the loop simulation experiment is developed using dSpace platform. The obtained results showed that the proposed systems have better results from energy efficiency point of view.

Keywords: temperature control unit, rapid control prototyping, MPC control strategy

 

 

SPEAKEASY-A MOBILE ASSISTANT FOR THE MANAGEMENT OF SOCIAL ANXIETY IN SPEECH SITUATIONS

Kuderna-Iulian BENTA, Marcel CREMENE, Silviu-Andrei MATU, Ioana Roxana PODINA

Abstract:  In the context of the exponential growth of portable devices, mobile applications ease the access to psychological interventions anytime and everywhere. SpeakEasy is a mobile assistant for the management of social anxiety in public speech situations, a highly distressing psychological disorder and targets the most investigated mechanisms underlying corresponding to it. It includes self-evaluation and gradual exposure to feared situations via dedicated guidelines and in situ interventions in various mobile environments. The graphical interface, progress and reward user feedback mechanisms are design features implementing the SpeakEasy model. Each mobile phone database records user’ evaluations and sends reports to the core database where psychologists can analyse them in a web-based interface

Keywords: Mobile Application, Affective Computing, Pervasive Computing, Social Anxiety

 

 

SIMULINK MODEL FOR A BIO-DIESEL ELECTRICAL POWER GENERATOR USED INTO A FARM

Alin GRAMA , Dorin PETREUS , Toma PATARAU , Radu ETZ

Abstract: The paper presents a Simulink model for a bio-diesel electrical power generator used to supply a farm. Considering that for a farm is too costly to connect to the national power grid, is taken into account electricity production using a diesel generator powered by bio fuel. Most systems of electricity generation using bio-diesel engine works all the time regardless of the rated electrical load. To avoid unnecessary fuel consumption when the electrical load is small was made an adjustment of mechanical power according with the electric load. For this purpose it was used a governor. As electric generator was used a synchronous machine because it can generate voltage with a constant frequency if the rotational speed of the rotor is constant. Electrical load was modeled using electric power consumption data collected from a real farm. Finally, a Simulink/Matlab model was created, which can be useful to engineers to design a real system.

Keywords: bio-diesel, Simulink, synchronous machine, renewable energy

 

 

AVERAGED BINARY SPARSOGRAM FOR WILDLIFE INTRUDER DETECTION

Lacrimioara GRAMA, Corneliu RUSU

Abstract: This paper presents a method for wildlife intruder detection. For the feature extraction step, we have used the averaged binary sparsogram, while for the classification step we have used artificial neural networks. Two frameworks are discussed: in the first framework, four sound classes are considered (birds, chainsaws, tractors, speech), and in the second framework, five sound classes are considered (birds, chainsaws, tractors, speech, gunshots). High overall accuracy classification rates were obtained, for both considered frameworks: 98.8% for the first framework, and 97.4% for the second one. For each framework, two scenarios are tested: first the classification is performed in one step, and second the classification is performed in two steps. A small improvement in the overall accuracy classification rates is observed when the classification is performed in two steps.

Keywords: intruder detection, short time Fourier transform, sparsogram, artificial neural network, pattern recognition

 

 

IPV6 EXTENSION OF HTB-TOOLS FOR LINUX TRAFFIC CONTROL BASED ON HTB

Doru Gabriel BALAN, Alin Dan POTORAC, Adrian GRAUR

Abstract: It is well known that traffic control is a permanent challenge for network engineers. The present paper proposes a novel method for Linux QoS (Quality of Service) solution used in network management. The research is focused on the classful queueing disciplines and specific HTB (Hierarchy Token Bucket) Linux implementations. This paper proposes a new practical improvement of bandwidth management software, named HTB-tools. These tools are generally used for implementing QoS policies based on the HTB algorithm, under a common Linux environment. The proposed improvement of the HTB-tools packages updates the software components with features that allow the implementation of QoS solutions for computer networks running the latest Internet Protocol version, IPv6. Our solution is extending the applicability domain of the HTB-tools QoS instrument to the addressing space of the IPv6, deploying an IPv6-ready rule parser component.

Keywords: communication system traffic control, quality of service, queueing analysis, IP networks

 

 

Number 2/2015

 

CONSTRUCTING A LOW-COST ELF/VLF REMOTE SENSING TO OBSERVE TWEAK SFERICS GENERATED BY LIGHTNING DISCHARGES

Le MINH TAN,  Marjan MARBOUTI and Keyvan GHANBARI

Abstract:  The Extremely Low Frequency (ELF) and Very Low frequency (VLF) technique are useful for studying the lower ionosphere of the Earth. Exploring this region has been begun in Viet Nam. We constructed the ELF/VLF remote sensing with low cost. This system includes a loop antenna, a pre-amplifier, a sound card, a PC with software and a GPS receiver. After surveying its characteristics, we found that the antenna has the high sensitivity and the pre-amplifier designed has the flat frequency response with frequency from 1 kHz to 20 kHz. It can record sferics generated by lightning discharges to estimate the parameters of the nighttime D-region ionosphere. It is also a teaching module to educate students in Space physics.

Keywords: ELF/VLF remote sensing, normalized antenna sensitivity, frequency response, tweek sferics, D-region ionosphere.

 

 

ADAPTIVE COMBINATION OF SECOND ORDER VOLTERRA FILTERS WITH NLMS AND SIGN-NLMS ALGORITHMS FOR NONLINEAR ACOUSTIC ECHO CANCELLATION

Cristian CONTAN, Mircea VAIDA, Tudor PALADE, Marina TOPA

Abstract:  : In this paper, starting from a robust statistics (RS) adaptive approach presented in a previous work entitled the combined NLMS-Sign (CNLMS-S) adaptive filter, an automatic combination technique with similar performances is proposed. Thus, in order to obtain better performances in acoustic echo cancellation (AEC) setups than with the normalized least-mean square (NLMS) algorithm, in the CNLMS-S case the decision between the two algorithms (NLMS and Sign) is based on a set error threshold. The error threshold can be empirically determined or known a priori if the signal-to-noise ratio (SNR) value from the loudspeaker-enclosure-microphone (LEM) setup is available or if the local noise levels can be determined from the silences. Here, to overcome this shortcoming, an adaptive combination of the two algorithms involved in RS is highlighted, providing similar results regarding convergence and final misadjustment. Also, the need of the error threshold set by the user is removed, the combination being controlled only by a step-size parameter, independent on the LEM, constrained only by the stability range. The proposed method is compared to the CNLMS-S in nonlinear LEM setups using measured linear and quadratic Volterra kernels, tracking the behavior of the echo-return loss enhancement (ERLE) characteristic. As input sequences, audio signals with different PDFs are used and WGN is added as local noise. Simulation results justify the efficiency of the proposed method, both in convergence and steady-state error against the CNLMS-S and, implicitly the NLMS and the Sign-NLMS algorithms.

Keywords: Acoustic echo cancellation, adaptive filters, Volterra models, the NLMS algorithm.

 

 

ISA100.11a CAPABILITIES FOR INTRA-SPACECRAFT COMMUNICATION

 Ioan DOMUTA, Tudor PALADE, Emanuel PUSCHITA, Ovidiu RATIU, Radu ARSINTE

Abstract: The main characteristic of the communication between spacecraft subsystems is the communication reliability. The performance growth of the low power wireless network may lead to their use for avionics communication. The ISA100.11a standard by the time, frequency and space diversity allows the implementation of a robust network and can reach the communication requirements for the spacecraft equipment. This paper analyses the resource allocation in an ISA100 network, for achieving the same throughput and latency as existing wired MIL1553B or CAN buses. Based on the this study the ISA100 network, on the current specifications, does not achieve the spacecraft communication requirements, but by adopting the UWB as the physical layer it can become a strong competitor for intra-spacecraft communication.

Keywords: ISA100.11a, wireless, spacecraft communication, MIL1553B, CAN bus

 

 

LRPT WEATHER SATELLITE IMAGE ACQUISITION USING A SDR-BASED RECEPTION SYSTEM

Paul Vladut DASCAL, Paul DOLEA, Octavian CRISTEA, Tudor PALADE

Abstract:  The LRPT (Low Rate Picture Transmission) direct broadcast service provides imagery from polar-orbiting weather satellites directly to end users. As a digital transmission system within VHF band, its main purpose is to replace the analog APT (Automatic Picture Transmission) system, still available on NOAA (National Oceanic and Atmospheric Administration) polar satellite fleet. This paper presents some aspects involving the reception and decoding of high-resolution LRPT images provided by the Russian Meteor-M N2 weather satellite, using a VHF reception system based on software-defined radio (SDR). The experimental tests were undertaken in order monitor and evaluate the performance of LRPT broadcast service during in-orbit commissioning test phase of the satellite. This paper also presents some guidelines and conclusions drawn from these experiments.

Keywords: LRPT, SDR, weather, Meteor-M N2.

 

 

THE DESIGN AND IMPLEMNTATION OF A PID CONTROLLER IN AN FPGA CIRCUIT

Cristian ORIAN, Dorin PETREUŞ

Abstract: The following paper presents the design and implementation of a PID regulator which is used to control a step-down converter. The transfer functions of both the control block and the buck converter were modeled in Mathcad. These models were instrumental during the design process and results validation, because they were used to plot a step response. The overall feedback loop was simulated in Psim and resulted in the same step response. An FPGA was used for the practical implementation. The circuit was described, synthesized and implemented in Xilinx Vivado. Relevant parts of the control circuit and measurements of the step response are presented.

Keywords: PID control, FPGA, digital control, buck converter.

 

 

MICROGRID CONCEPT BASED ON DISTRIBUTED RENEWABLE GENERATORS FOR A GREENHOUSE

Dorin PETREUS, Radu ETZ, Toma PATARAU, Cristian ORIAN

Abstract: This paper presents the modelling and control of a remote all renewable energy microgrid designed to supply a vegetable greenhouse. The microgrid operates in island mode and consists of: a geothermal generator, a biomass generator, a photovoltaic generator, battery storage system and a power management system (PMS). A two level control structure is implemented to properly balance the power flow in the proposed microgrid: primary level based on droop control implemented by each unit and a secondary level base on communication implemented by the PMS.  

Keywords: smart microgrid, geothermal energy, biomass energy, solar energy, management.

 

 

Number 1/2015

 

OPTIMIZED SYNTHESIS AND FPGA IMPLEMENTATION OF A FIR FILTER FOR MULTIPLE POSITION EQUALIZATION OF A RECORDING STUDIO/CONCERT HALL

Adrian Călin FĂRCAŞ, Ervin SZOPOS, Ioana SĂRĂCUȚ, Marius NEAG, Marina Dana ȚOPA

Abstract:  This paper presents an improved approach to the synthesis and implementation of digital filters employed for multiple position equalization of a room transfer function. First, we propose a more effective way of deriving the desired frequency response of the equalizer than the Levinson-Durbin algorithm employed by well-known method used here as a reference to compare against. Second, the equalizer is implemented by a FIR filter synthesized by using an optimized procedure, based on a genetic algorithm that curtails the differences between the wanted and synthesized frequency responses while minimizing the filter length. These two features help us reduce significantly the hardware requirements for implementing the resulting equalizer. The effectiveness of the proposed method is demonstrated on a real-life example: the implementation of a FIR filter able to equalize the room transfer function of a recording studio used also as a concert hall. The optimized synthesis procedure yielded a FIR equalizer whose number of taps was reduced by an order of magnitude compared to the results reported by the reference method. The circuit implementation of the equalizer required only a small fraction of the resources provided by a mid-range FPGA development board. Objective and subjective measurements were carried out with and without the equalizer being inserted in the acoustic chain; they showed clearly that the proposed equalizer improved significantly the audition.

Keywords multiple position equalization, room transfer function, genetic algorithm, recording studio, concert hall, FPGA

 

 

AidISO – THE FIRST STEP FOR SMALL AND MEDIUM-SIZED COMPANIES IN BECOMING ISO 9001:2008 CERTIFIED

Emilia SIPOS, Luiza BUZDUGAN, Laura IVANCIU

Abstract:  The standard has become the main tool for separating the product, the reference object of contracts and transactions, the scale of price formation, quality guarantee and product promotion. The theme of this paper is to develop a stand-alone application to assist small and medium-sized organizations in implementing ISO 9001:2008. The software product can be used by companies from five activity fields and it provides time planning for the implementation process, completing the documents, continuous update of the implementation states, saving the changes and the possibility to choose among several Romanian ISO certification bodies.

Keywords: ISO, quality management, Matlab, software tool.

 

 

FULLY DIFFERENTIAL CURRENT MODE LOW-PASS BIQUAD WITH INDEPENDENT PARAMETER TUNING

 Robert GROZA , Claudia FARAGO

Abstract: The paper presents a fully differential log-domain low-pass second order filter. The topology was derived, using a LINELIN transformation, from a standard state-variable biquad. The filter allow for orthogonal parameter tuning. Its low-frequency gain (H0), natural pulsation (ω0) and quality factor (Q) can be tuned continuously by varying only DC bias currents. The filter was implemented in a generic BiCMOS 0.18μm process and the simulation results demonstrate the validity of the design.

Keywords: ELIN, current mode circuits, parameter tuning

 

 

THERMAL INFLUENCES ON ELECTRONIC COMPONENTS FROM THE MANUFACTURING STAGE TO SYSTEM INTEGRATION

Alexandra FODOR, Rajmond JANO

Abstract:  The present work investigates the process of thermal management for individual components used for electronic systems, from their manufacturing stage to the assembly of the final product. Two stages of development were studied, firstly, the manual soldering process was investigated and how the thermal phenomena can affect different ICs, depending on their form, during soldering and secondly the effect of the IC package on heat dissipation was investigated. The manual soldering process was studied for the smallest of the surface-mount devices because the assembling technique involves direct contact with the soldering iron. DIP- 28, TQFP-32 and MLF-32 package models have been implemented in SolidWorks 2013 and their efficiency in evacuating heat has been evaluated and compared. Natural cooling was investigated in an open environment and investigations in closed spaces and with forced cooling applied were also made. The research focuses on accurately modelling electronic packages for ICs.

Keywords: thermal, model, soldering, SolidWorks, packages

 

 

AN EVOLUTIONARY FPAA RECONFIGURATION ALGORITHM BASED

ON THE OPEN TRAVELING SALESMAN PROBLEM

Claudia FARAGÓ, Paul FARAGÓ, Sorin HINTEA, Gabriel OLTEAN

Abstract: This work proposes an FPAA reconfiguration algorithm formulated on a modified version of the open traveling salesman problem (OTSP), which targets the achievement of a figure of merit (FOM). Genetic algorithms (GA) were chosen to optimize the modified OTSP. Several modifications were made to the genetic operators to guarantee population validity along the evolutionary process. The efficiency of the modified GA is demonstrated over the classical GA for small-sized FPAA mapping, while the classical GA is used for larger FPAAs. Simulation results illustrate the applicability of the proposed evolutionary FPAA mapping algorithm based on the modified OTSP routine.

Keywords: Field programmable analog array, analog filter, open traveling salesman problem, genetic algorithms

 

 

ENTERPRISE BUS AS A SERVICE – AN IDEAL CLOUD CONNECTIVITY MODEL

Sorin POPA, Mircea-Florin VAIDA

Abstract: Cloud computing is unquestionably one of the most important things happening in IT today. It’s a concept meant to manage resources in a more responsible manner and to offer companies a professional, efficient way of accessing them. Nevertheless, one of the primary struggles of the cloud-oriented world is application integration. The primary goal of this project is to define an ideal connectivity model for moving the application integration from the organization side into the cloud. In this way, the organization will efficiently save resources: less deployment time, fast and clean new releases, no redundant infrastructure maintaining costs and of course higher productivity. As a lightweight and flexible solution, the “Enterprise Bus as a Service” architectural pattern, or short EBaaS, will manage everything needed by the organization to properly integrate their system into a one-click cloud application.

Keywords: integration, connectivity model, cloud, ERP, EBaaS, ESB.

 

 

 

Number 4/2014

 

SECURITY ANALYSIS OF THE ARCHITECTURAL COMPONENTS WITHIN A WEB-BASED REPORTING APPLICATION

Dan Bogdan ZAH ,  Bogdan MIHAILESCU,  Andrei Bogdan RUS , Kurt EDER,  Virgil DOBROTA

Abstract: In the work presented herein we conducted a security audit of the architectural components included in any web-based data reporting application. Overall we implemented a total of eleven attacks: four of them targeted the server, four the web application on the client device, two envisaged the wireless router and one exploited the vulnerabilities of the database server. Along with the successful Denial of Service attacks, we managed to extract confidential information (i.e. password hashes) from the system using sniffing, Structured Query Language injection and Cross-Site Scripting attacks. For any successful security breaking presented herein, we proposed a set of techniques that can mitigate the specific vulnerability.

Keywords: Denial of Service, Security, web-based application

 

 

A DIFFUSION APPROACH FOR ORIENTED VOLUME DATA DENOISING

Romulus TEREBES

Abstract: This paper proposes a new method for denoising non-time dependent volumetric oriented data blocks. The method is developed under the partial differential equations theoretical framework and it is defined on orthogonal section planes of the threedimensional space. The efficiency of the method in denoising oriented volume data is proven using an extensive experimental part involving several random computer-generated synthetic data blocks and statistical interpretations. In the experimental section we also provide a result obtained on real data.

Keywords: diffusion equations, partial differential equations, image restoration

 

 

SURVEY OF MR IMAGE PROCESSING METHODS

László LEFKOVITS, Szidónia LEFKOVITS, Mircea Florin VAIDA

Abstract: In this paper a synthesis of the main concepts and the most important MRI image acquisition and processing methods are presented. These two processes are clearly delimited, without any interference in our research means. The magnetic resonance acquisition methods are the exclusive tasks of medical equipment provider companies. The image processing methods –inhomogeneity correction, segmentation, registration and digital atlases – fall on the software developers. The starting points of such a system are the multimodal MR images. The purpose of these methods is the precise delimitation of anatomic structures and determination of benign and malign tissues. The goal of the research is to offer to medical experts a useful knowledge to combine the methods optimally and to obtain better medical results in assisted diagnosis.

Keywords: MRI, inhomogeneity, segmentation, registration, digital atlases.

 

 

THE TRANSITION PERIOD OF THE CHARGING OF ACCUMULATORS

Szabó LEVENTE

Abstract: The states of electrochemical phenomena in the accumulators are passing through several phases between the moment of commutation and the permanent period of charging. These successive states appear once at every commutation. This transitory period is lasting approximately 1 millisecond in the case of lead-acid accumulators.

Keywords: transition period, charging of accumulators, Lead-Acid-Battery

 

 

APPLYING PRINCIPAL COMPONENT ANALYSIS ON CALL DETAIL RECORDS

Ionut B. BRANDUSOIU, Gavril TODEREAN

Abstract: In the mobile telecommunication industry, the call detail records could have millions of records and thousands of variables. Thus, it is very unlikely that all of the variables are independent, without presenting any correlation. The presence of correlated variables leads to instability in the solution space, thus obtaining incoherent results when implementing a predictive model. In this paper, we apply a principal component analysis on a call detail records dataset to reduce the dimensionality of the data and to eliminate the problem of multicollinearity.

Keywords: principal component analysis, call detail records, reduction of dimensionality, multicollinearity, data mining,

telecommunications.

 

 

HUMAN AUDIOGRAM FIR MODELING WITH MATLAB TOOLKITS

Ioana SĂRĂCUŢ, Erwin SZOPOS, Marius NEAG, Călin FĂRCAŞ, Marina Dana ŢOPA

Abstract: The paper presents the synthesis of FIR filters with the magnitude characteristic that matches an arbitrary human audiogram, by using two of the toolkits provided by Matlab: the levinson function, that implements the Levinson-Durbin algorithm, and the standard routine fir2, based on the frequency sampling method. The performances of the filters synthesized with the two Matlab toolkits are evaluated by comparing their magnitude characteristics against the given audiogram, for the same length of the filters. Moreover, for each of the two implemented filters having the optimal length, for the same maximum approximation error, the impulse response and phase characteristic are also discussed.

Keywords: FIR filter, Levinson-Durbin algorithm, human audiogram

 

 

COLORIMETER FOR FRUIT SORTING SYSTEM

Lorant SZOLGA, Bianca VLAICU, Ramona GALATUS, Emil VOICULESCU

Abstract: The present paper proposes a study, followed up by the implementation of a low cost and low power consumption fruit sorting system. The implemented system was tested for apple sorting. Under the tests we gained an accuracy of 100% from the correct sorting point of view, which emphasize the good functioning of the system proposed by us.

Keywords: colorimetric, microcontroller, RGB LED, photoresistor

 

 

 

Number 3/2014

 

A LIFE DEDICATED TO SCIENCE AND INNOVATION – DOCTOR HONORIS CAUSA FOR DR. BARRIE GILBERT

Acta

Abstract: Technical University of Cluj-Napoca awarded the title of Doctor Honoris Causa to one of the greatest pioneers in the field of semiconductor circuits - Mr. Barrie Gilbert, North West Lab, USA. Tuesday, September 2, 2014, the Auditorium Alexandru Domsa, in Technical University of Cluj-Napoca, Romania, hosted an event highly important to the academic community and users of modern data processing and communication devices: the granting of the Doctor Honoris Causa title to Mr. Barrie Gilbert from North West Lab, USA, one of the great pioneers in the field of semiconductor circuits. Author of over 100 inventions started in the USA but used in various applications worldwide, in communications, medicine, transportation and IT, Mr. Barrie Gilbert is widely recognized as a great visionary in the field of semiconductor devices and analog integrated circuits. Also, Mr. Barrie Gilbert is a well known author and highly cited as special reference. The great scholar and man of the art that is Mr. Barrie Gilbert agreed to become Doctor Honoris Causa of the Technical University of Cluj-Napoca as a recognition of the University’s value and rewarding the achievements in the area of scientific research on international scale, for the members of the Faculty of Electronics, Telecommunications and Information Technology.

Keywords: Barrie Gilbert, Doctor Honoris Causa, Technical University of Cluj-Napoca

 

 

IMPROVEMENT OF SOME EFFECTIVE PARAMETERS OF C-SI SOLAR CELL FOR BETTER EFFICIENCY

Santanu MAITY, Chandan Tilak BHUNIA, Partha Pratim SAHU

Abstract: To overcome the Shockely-Queisser efficiency limitations, considerable research into the various solar cell loss parameters such as higher reflectance, higher surface recombination, transmission, low light absorption, high series resistance and low shunt resistance is under way. In this paper, some effective solar cell parameters such as reflectance of light from the cell surface, emitter layer thickness and series resistance are investigated using both experimental and simulation studies.

Keywords: Solar Cell, Texturization, Plasmonic Effect, LIP, Quantum Efficiency

 

 

COMPLEX EVENT PROCESSING IN SOCIAL MEDIA

Calin RAILEAN, Monica BORDA, Alexandra MORARU

Abstract: In a world where virtual communities get ahead, social media, supported by web and mobile technologies, represents a valuable source of large amounts of data that can encompass the information shared between individuals related to the traffic conditions. Therefore, a metric that measures the logical link between traffic condition and tweets reported in social media, can be useful in estimating the traffic impact. Accordingly, responsible authorities are provided with a measure of the resources needed for handling them, which can contribute to improving facilities such as public transportation services or traffic estimations. This paper aims to analyze the traffic condition covered in social media, more specifically, in twitter data and to reveal the correlation between traffic conditions and twitter messages. We suggest an automatic method for this association in order to discover its impact and importance. The proposed method is tested on a real world dataset and the results show a positive correlation between the automatic method and a set of manually evaluated associations. The usefulness of this research consists of forecasting public transportation needs and supporting events’ organizers to better arrange their planned activities. The results have real applicability and are filled with consistent interpretations.

Keywords:  event processing, traffic correlation, twitter data

 

 

DESIGN ILLUSTRATION OF AN EKG ANALOG INTERFACE USING GENETIC ALGORITHMS

Bogdana RÂZA, Alexandra RÂZA, Paul FARAGÓ, Sorin HINTEA

Abstract: Electrocardiography (EKG) systems provide a solution for the recording of the heart activity and are indispensable in patient monitoring. Interfacing the EKG system with the human body is done with analog signal processing and operates towards proper signal conditioning. The EKG analog interface consists of an instrumentation amplifier, a notch filter and a highpass filter. This paper proposes an approach to design the EKG interface using genetic algorithms. Two design strategies are used: coefficient equation for amplifier and notch filter design, and curve fitting for highpass filter design. The validity of the evolutionary design results is demonstrated with transistor-level simulation.

Keywords: EKG analog interface, genetic algorithms, coefficient equation, curve fitting

 

 

A TUNNEL-BASED SOLUTION FOR SEAMLESS VERTICAL HANDOVER AND LOAD BALANCING

Iustin Alexandru IVANCIU, Andrei Bogdan RUS, Virgil DOBROTA

Abstract: This paper proposes a multi-tunnel architecture with a smart mobile router offering uninterrupted services for its wireless customers. It simultaneously uses several wireless/mobile access networks to the Internet in order to reach the service continuity gateway located somewhere in a broadband network. This customer-oriented approach offers seamless connectivity through vertical handover and load balancing.

Keywords: Handover, load balancing, tunneling

 

 

ON THE AUTOMATED PLANNING AND DESIGN OF SMATV SYSTEMS

Radu ARSINTE

Abstract: The paper presents some theoretical and practical considerations regarding the TV information distribution in local (small and medium) networks, using different technologies and architectures. The SMATV concept is chosen to be presented extensively. The most important design formulae are presented with a software package supporting the network planner to design and optimize the network. A case study is realized, using standard components in SMATV, for a 5 floor building. The study proved that it is possible to design and optimize the entire network, without realizing first a costly experimental setup. It is also possible to run different architectures, optimizing also the costs of the final solution of network.

Keywords: Sat TV, SMATV, Multi-switches, Planning, Design

 

 

 

Number 2/2014

 

ON ROBUSTNESS OPTIMIZATION BASED ON METAMODELS

Anamaria OROS, Marina TOPA, Marius NEAG, Monica RAFAILA, Georg PELZ

Abstract: Electronic systems are usually required to maintain the value of their parameters within set limits over a wide range of conditions, for large variations of internal or external factors. Given the large number of factors that need be considered it is often un-practical to check all and each combination of factors. New approaches, such as the parameter design, are necessary for designing robust systems, with defined performance for all operational conditions, while keeping the development time and production cost to acceptably low levels. This paper describes two methods for parameter design: the classical, analytical approach, based on underlying assumptions and a new simulation based methodology, focused on real-life cases. The proposed method helps the designer to bring a system response to the target and reduce its sensitivity to varying operating conditions. It is demonstrated on a real-life case: optimized sizing of the external circuitry of a low dropout voltage regulator, with the view of reducing its sensitivity to external factors such as temperature and load current. A three-response optimization was achieved also by applying the method on each of the considered outputs and then intersecting the solutions.

Keywords: Robustness Optimization, Metamodels, Parameter design, Voltage Regulator

 

 

LONG RANGE SOUND SOURCE LOCALIZATION EXPERIMENTS

Flaviu Ilie BOB

Abstract: Sound Source Localization (SSL) can be used in various domains, ranging from surveillance and security to medicine or multimedia. Most SSL systems rely on different knowledge about the emitted sound or the environment in order to determine the position of the source. In this paper the author presents the experimental results obtained for an unknown sound source. The distance towards the sound source is determined without prior knowledge about the emitted sound, and the environment is assumed to be noise free, including reverberations. Using a system that has only three microphones placed at 1 meter apart, experiments were conducted at ranges of up to 50 meters, at various angle orientations. Results show that it is possible to measure within an acceptable degree of error the distance towards a sound source situated up to 35 meters away.

Keywords: Sound Source Localization, Time Delays of Arrival, three microphones localization, Unknown acoustic source localization, General Cross-Correlation, Sound Source Ranging

 

 

AUTOMATED POWER-VOLTAGE CHARACTERIZATION OF PHOTOVOLTAIC PANELS

Paul. N. MARTARI, Botond S. KIREI, Bogdan I. OLAIOS, Marina D. TOPA

Abstract: This paper contributes to the automated power-voltage characterization of photovoltaic panels. The proposed measurement assemblies can be used in conjunction with “quasi seek” maximum power point tracking algorithms. First, the power vs. voltage characteristics of a solar panel was traced using a common assembly that consists of the solar panel, a trimmer resistor and standard laboratory multimeters. This assembly requires a human operator to switch the trimmer resistor and the measurement intervals on the multimeters, thus not suitable for measurement automation. Next, two measurement assemblies were proposed: (i) a voltage controlled current source used to control the current drawn from the panel; (ii) a voltage controlled voltage reference used to drive the voltage on the panel. It was found in both circuits that the current sense resistor (a low side shunt resistor used for current measurement) must be varied to achieve a wide operation range with respect to the solar illumination, so a programmable resistor was added. Automatic decision over the suitable resistor value was based upon illumination measurement with a usual photoresistor. Finally the circuits were built on a test

board, a virtual instrumentation was set up and the power vs. voltage characteristics of a 2W photovoltaic panel were traced.

Keywords:  maximum power point, tracking, photovoltaic cell/panel, measurement automation, voltage controlled current source, voltage controlled voltage reference, current sense resistor, low side shunt

 

 

HIL TESTING METHOD ENHANCEMENT BASED ON ALGEBRAIC METHOD PREDICTION

T.E. DACHIN, D. PITICĂ, G. CHINDRIŞ, C. M. NEMEȘ

Abstract: The paper defines and implements a method of verifying if the testing system is suited for being implemented or not. In order to try and force a usability prediction on the whole testing process, we used algebraic calculus applied on a testing system, in order to see the correlation between the used signals, in various system nodes. For being successful in predicting the system stability, algebraic calculus was applied, the eigenvalues calculated, and then the correlation between the mathematical results and the real implemented testing system made. As a result of the work we can state from the beginning of test system implementation, if the system is suited or not for implementation. When deciding, the mathematical results back up the decision.

Keywords: Testing system, Algebraic calculus, Eigenvalues, System stability.

 

 

OPENFLOW-BASED IMPLEMENTATION OF A GEARBOX-LIKE ROUTING ALGORITHM SELECTION IN RUNTIME

MirceaValeriu ULINIC, Andrei Bogdan RUS, Virgil DOBROTA

Abstract: This paper aims to prove using an OpenFlow-based testbed that a real gearbox-like routing algorithm selection in runtime is feasible. The proper selection and interworking of flow forwarding schemes for Infrastructure and Service Providers may lead to enhanced performances. Limited resources and/or a partial topology are shared by the owner of the network with the service producer, based on a real-time evaluation of the status using the Floyd-Warshall algorithm for single path and the Ford-Fulkerson for multipath routing. At its level, the Service Provider decides the best forwarding scheme involving the Modified Dijkstra’s algorithm and, whenever multipath is needed, the Ford-Fulkerson algorithm. However due to ownership, security issues, and the business models agreed nowadays, only the Infrastructure Providers are actually performing the routing according to own rules (for its users or in case of emergency) and on behalf of Service Providers, according to their rules. Other combinations of algorithms for the existing or new coming types of providers (e.g. for virtual service infrastructure) can be easily tested now in the proposed software-defined networking tool.

Keywords: Floyd-Warshall algorithm, Ford-Fulkerson algorithm, gearbox-like routing algorithm selection, Modified Dijkstra’s algorithm, OpenFlow

 

 

 

Number 1/2014

 

FUZZY LOGIC CONTROLLER BASED ON AN INDIRECT VECTOR  CONTROL OF   DUAL STATOR INDUCTION GENERATOR  IN WIND ENERGY CONVERSION SYSTEM

Fatima AMEUR,  Katia KOUZI, Nachida KASBADJI MERZOUK

Abstract: This paper investigates Fuzzy Logic Controller Based on an Indirect Vector Control of   Dual Stator Induction Generator (DSIG)in Wind Energy Conversion System.  In first step a field-oriented control of a DSIG is presented. In second step, in order  to ensure an optimum operating point and an Maximum Power Point Track  (MPPT) giving online a maximum production of electric power for different wind speeds, a conventional PI and then a fuzzy PI speed regulators have been used. Simulation results show clearly the effectiveness and the performance of the suggested fuzzy logic controller.

Keywords: Dual stator Induction generator, Field-Oriented Control, Classical PI controller, Fuzzy logic controller, Wind energy conversion system.

 

 

HIGH LINEARITY ANALOG OPTOCOUPLERS – APPLICATIONS INSIDE THE RF SHIELDED ENCLOSURES

Nicolae CRISAN

Abstract: The paper presents several technical issues and hardware implementations to analyze from the perspective of the galvanic isolation the problematic concern of separation between the transceiver currents flow and the PC common ground. Only the information exchange is allowed through two different types of optocouplers: the first allows transceiver control and monitoring and the second, only analog information exchange. In this paper, the effect of the strong RF field over the PC ground, especially under the reactive behavior of the load (impedance mismatching), has been analyzed.  The results tends in favor of the new integrated linear optocouplers. These integrated circuits designed for analog signals are using linearization to increase bandwidth. An optocoupler for audio-interface, designed and tested by the author, experiences the best performance in the proximity of the RF field, enclosed in a metallic box together with the RF power amplifier. 

Keywords: Computer aided transceiver (CAT),GNU radio, galvanic isolation, EMI Electromagnetic interference

 

 

AN OPERATIONAL TRANSCONDUCTANCE AMPLIFIER SIZING METHODOLOGY WITH GENETIC ALGORITHM-BASED OPTIMIZATION

Claudia FARAGÓ, Alexandru LODIN, Robert GROZA

Abstract: This paper proposes a methodology for the parametric design of operational transconductance amplifiers. In the proposed methodology, amplifier sizing is performed in two stages: an equation-based design scheme performs an approximate design, followed by optimization of the design results with genetic algorithms. The feasibility of this method was investigated with extensive simulation. For demonstration purpose, a folded-cascode operational transconductance amplifier was subject to design. 

Keywords: : Folded-cascode operational transconductance amplifier, evolutionary circuit design, genetic algorithms

 

 

PRE-PROCESSING AND CLUSTERING ALGORITHMS FOR MICROARRAY DATA IN CANCER RESEARCH

Ioana ILEA, Monica BORDA

Abstract: The development of microarray technologies makes it possible to understand the molecular basis of human diseases, like cancer. Microarray experiments may be used to simultaneously asses gene expression values for thousands of genes. Along with bioinformatics and data mining techniques, they are important in finding relationships between gene expression values and clinical outcomes. One of these techniques is represented by the clustering analysis. This paper describes a typical workflow for microarray data and different hierarchical clustering algorithms for DNA microarray data, underlining their advantages and disadvantages

Keywords: microarray, gene expression, pre-processing, normalization, hierarchical clustering, cancer

 

 

Labview Tool for Designing FIR Filters For Acoustic EqualiZation

Erwin SZOPOS, Călin FĂRCAŞ, Marina ŢOPA, Marius NEAG, Ioana SĂRĂCUŢ

Abstract: The paper presents a tool for optimal synthesis of FIR filters tailored for the equalization of a room acoustic transfer function. The synthesis is optimized for minimizing the hardware resources required to implement the resulting filters, in particular by reducing the length of these filters. The optimization procedure employs a genetic algorithm developed for this application. The LabVIEW implementation of the filter synthesis tool is presented in some detail, along with a real-life example.

Keywords: FIR filters, arbitrary magnitude response, acoustic equalization, optimization, genetic algorithm

 

 

Number 4/2013

 

PREDICTION OF WAVEFORMS UNDER THE VARIATION OF INPUT PARAMETERS USING NEURAL NETWORKS

Gabriel OLTEAN, Alex PRODAN, Monica RAFAILĂ, Laura IVANCIU

Abstract: This paper introduces a modeling flow for predicting waveforms as a function of parameters, variables in the system generating the waveforms. In order to achieve this goal, a neural network is involved. The model is developed using early-stage simulation data from the automotive industry. Usually, a large amount of data is necessary in order to properly create such a model and successfully train a neural network, and this can be problematic. To address this issue, a model which can be trained with just a handful of characteristics is proposed. The results obtained show that our model can predict waveforms based on input factors with high accuracy.

Keywords: waveform prediction, neural network, modeling, automotive industry waveforms

 

 

SECURE MOBILE-CLOUD FRAMEWORK – IMPLEMENTATION ON THE MOBILE DEVICE

D. POPA , K. BOUDAOUD , M. BORDA

Abstract: Secure Mobile-Cloud is a framework proposed to secure the data transmitted between the components of a mobile cloud application. In addition, the framework, takes into account the following aspects: 1) the users options regarding the security level required for private data and 2) the device energy consumption. The framework includes several distributed components. Some of these components are deployed on the mobile device and some of them in Cloud. This paper is focused on the implementation of the Secure Mobile-Cloud framework components on the mobile device. A proof of concept Android prototype is proposed.

Keywords: Mobile Cloud Computing, Applications, Security

 

 

A RESOURCE CONSTRAINED PROJECT SCHEDULING MODEL BASED ON JOB PROFILE SCHEMES

Aurelia CIUPE, Ovidiu ARION, Marcel CREMENE, Bogdan ORZA

Abstract: The aim of the current research is to propose a Resource Constrained Project Scheduling Problem extension. Based on an employee profile derived from a job evaluation scheme and mental performance modeling, a set of new constraints and their influence on project tasks have been designed. An objective function of project makespan minimization through buffer management and human cognitive profile has been defined. Several classic prioritization rules have been reconsidered in order to offer an adapted person-centered solution rather than a process-centered one. By applying the developed model to the scheduling process, the total duration for each task has been minimized according to the employee profile. We provide an overview of the proposed model and the developed application used for obtaining computational results, along with a comparison with several commercial related tools.

Keywords: : buffer management, project scheduling, prioritization rules, project makespan minimization, employee profile, intelligent systems, operations management

 

 

DEVELOPMENT AND PERFORMANCE EVALUATION OF A TERNARY FUNCTIONS MINIMIZATION TOOL, IMPLEMENTED USING MATLAB

Emilia SIPOS, Lucian Ovidiu CICA, Costin MIRON, Laura IVANCIU

Abstract: This paper presents a tool designed to minimize both completely and incompletely specified ternary functions with two, three and four input variables. The tool is tested using 33 ternary functions and performance such as minimization time and number of output terms is evaluated. One main advantage of ternary system over binary ones is the reduction of chip area required to implement logic functions.  Using a minimization process for ternary functions, the required area is even smaller. For the ternary function minimization tool implemented using Matlab, the minimization process is entirely ternary and the ternary-to-binary and binary-to-ternary conversions used in well know minimization software for ternary functions, such as MVSIS and Espresso MV, are eliminated. For tested functions, the minimization time increases with one second, for every new input variable and the maximum minimization time was 2.9 seconds. The smallest number of output terms is obtained in 40% of the cases for one expression of minimized function, in 42% of the cases for the other expression and in 6% of the cases; the number of output terms is the same for both expressions.

Keywords: minimization tool, ternary functions, performance evaluation, Matlab

 

 

PARAMETER DISTRIBUTION IN RECEIVER CHAINS: A HYBRID FUZZY-GENETIC ALGORITHM APPROACH

Laura-Nicoleta IVANCIU, Gabriel OLTEAN

Abstract: The paper presents a novel, hybrid approach to parameter distribution in receiver chains, using fuzzy sets and Genetic Algorithms. The method works with global values for gain, noise figure and intercept points, and aims to correctly assign distributed values of these metrics for each block of the receiver chain. Z-shaped and S-shaped membership functions are used for each of the 4 metrics. The objective function of the Genetic Algorithm is defined as a sum of membership degrees. Tests using a zero-IF receiver architecture with 5 blocks, and WCDMA/WLAN specifications, show that the proposed method rapidly assigns correct values for gain, noise figure and intercept points, for each block.

Keywords: parameter distribution, receiver, WCDMA, WLAN, fuzzy, genetic algorithm

 

 

Number 3/2013

 

A NEURAL NETWORK IMPLEMENTATION ON FPGA FOR ECOLOGICAL MONITORING

Diaf YOUSSOUF, Kaddeche MOHAMED

Abstract: In this paper, we present an implementation of an artificial neural network (ANN) for predicting blooms (coloured waters) of a species of toxic phytoplankton called Dinophysis acumunata that prevalent in coastal of Havre (France). A Multi-layer Perceptron (MLP) neural network is designed to predict the rate of algal cells concentration in a short time series. The processed data are extracted from analysis of average numerical values of physical and chemical parameters. The implementation of the designed neural network on FPGA (FPGA: Field Programmable Gate Array), a programmable circuit, help us to set up an automatic monitoring lagoon system.

Keywords: Automated monitoring, Toxic algae, Eutrophication, Phytoplankton, Neural network, FPGA

 

 

PREDICTING CHURN IN MOBILE TELECOMMUNICATIONS INDUSTRY

Ionut B. BRANDUSOIU, Gavril TODEREAN

Abstract: In today’s competitive market, the customer retention represents one of the focal concern for telecommunications companies. The telecommunications sector can be considered on the top of the list with an annual churn rate of approximately 30%. Since the cost associated with subscriber acquisition is higher than the cost of subscriber retention, the need for predictive models to identify subscribers that are at risk of churning has become an important aspect for modern telecommunications operators. But, because the pre-paid mobile telephony market is not easily traceable and definable, implementing a predictive model would be a complex process. In this paper, we present an advanced methodology that helps to predict subscribers churn in pre-paid mobile telecommunications industry, by applying data mining algorithms on dataset that contains call details records. To construct the models we will use k-nearest neighbor, logistic regression, and bayesian networks algorithms. To evaluate and compare the models, we use the gain measure

Keywords: bayesian networks, call details records, churn prediction, k-nearest neighbor, logistic regression, telecommunications

 

 

LOCAL AND GLOBAL SPECTRAL VISUAL SALIENCY ESTIMATION BASED ON HUMAN VISUAL BEHAVIOR

Oana Loredana BUZATU

Abstract: In this paper a saliency detection algorithm based on local and global information is proposed. The proposed method extends a previous work by calculating the pixels saliency by means of local patches and the global dissimilarities between a patch and all other patches based on color contrast differences and spatial distances. The image patch scale is fixed and in accordance with the size of the regions of interest (ROI), while the spatial difference takes into account the fact that the focus of attention can subtend a certain region from the visual angle. Resulted algorithm is tested in an image retargeting application and proves its effectiveness.

Keywords: local- global visual saliency, human visual sensitivity, image patch size, image retargeting

 

 

NOVEL CURRENT LINE SENSOR BASED ON MATCHED OPTOCOUPLERS FOR ACTIVE POWER FACTOR CORRECTION

Paul MARTARI, Dorin PETREUS, Marius NEAG

Abstract: This paper presents a novel line current sensor which allows safe and accurate data acquisition for power factor measurements: it uses a pair of matched optocouplers arranged so that the difference between their outputs is proportional with the line current; thus the second order harmonics caused by the inherent non-linearity of the optocouplers are cancelled. A system for analyzing experimentally the effects the power factor (PF) has over the efficiency of quasi-resonant flyback switch mode power supplies (SMPS) was build based on this sensor. It provides the chronograms of the line voltage and current, along with the most important data related to the power factor and the efficiency of the power conversion. Experimental results shows that active power factor correction improve the efficiency of the SMPS by up to 6%.

Keywords: Line Current Sensor, Power Factor Correction, Quasi-resonant Flyback Converter

 

 

COMPARATIVE ANALYSIS OF THREE VERSIONS OF A CAPACITORLESS LDO STRUCTURE THAT SUPPLIES A RAIL-TO-RAIL VCO

Cristian RADUCAN, István KOVÁCS, Paul MARTARI, Marius NEAG

Abstract: This paper presents three circuit implementations of a low-dropout voltage regulator (LDO) structure that supplies a rail-to-rail voltage controlled oscillator (VCO) operating at 2.5GHz. The LDOs comprise only a small decoupling capacitor that can be integrated but they are still able to deal with the large and fast variations of the supply current required by the VCO. For a fair and direct comparison, all three LDO versions use the same pass transistor and are designed to maintain the output voltage ripple at the same level. Two symmetrical OTAs – one optimized for low-power consumption and the other for higher-bandwidth and lower noise – and one folded-cascode OTA optimized for low noise were employed successively to implement the error amplifier within the LDO. The comparison focuses on the effect the LDOs have on the phase noise of the VCO they supply. It was found that the VCO phase noise can be improved by reducing the level of high-frequency noise on the VCO supply line, caused by the LDOs.

Keywords: Capacitor-less LDO, Error amplifiers, SoC

 

 

HDRI AND RETINEX TECHNIQUES APPLIED FOR CULTURAL HERITAGE DOMAIN

Oana GUI, Costin MIRON, Petre OGRUTAN

Abstract: The paper presents a comparison between digital images of mural paintings acquired using High Deffinition Range Imaging techniques and images that result after the processing of the images of murals taken under spatial and spectral variations of the illumination with the Retinex algorithm. The processing of mural painting images with the Retinex algorithm elevates their quality to a higher status, comparable with the quality of the images acquired with the HDRI technique. We consider that both techniques, Retinex and HDRI, should become part of the modern products, dedicated for cultural heritage domain.

Keywords: High Deffinition Range Imaging, Retinex algorithm

 

 

ON REPLICATION IN DESIGN OF EXPERIMENTS

Bianca FAGARAS, Ingrid KOVACS, Anamaria OROS, Monica RAFAILA, Marina Dana TOPA, Manuel HARRANT

Abstract: Modern electronic technology brings systems of higher complexity leading to the need of new analysis techniques. Using Design of Experiment (DoE) and one of its main principles, i.e. replication, we applied controlled variations in input factors, and replicate the measurements sufficient amount of times, in order to assess the impact of noise on the measurement results, as compared to the impact of the factors. The paper illustrates the replication approach with the measurements performed on a lowpass filter. The method proposed in this paper consists of 4 main steps, which assess the impact of noise on the measurement results as compared to the impact of the factors. Of great interest is determining how noise coming from testing the system under real stimuli, interferes with the results obtained after performing controlled experiments in a simulation environment

Keywords: Design of Experiments, Replication, Low-Pass Filter, Real-Time Load Emulation

 

 

BLOCKING IN DESIGN OF EXPERIMENTS

Ingrid KOVACS, Bianca FAGARAS, Anamaria OROS, Marina Dana TOPA, Monica RAFAILA, Manuel HARRANT

Abstract: Real life electronic systems must perform within tight limits even if affected by uncertainties such as temperature and supply variations. Design of Experiments (DoE) plays an important role in improving the quality of a system. The present paper focuses on a robust design method based on one of the main principles governing DoE: blocking. The method is automated with the help of MATLAB and involves the following steps: classify the factors, design the experiment, measure, analyze and optimize the response. The method is illustrated on a low-pass filter. The experiment uses a saturated D-optimal design. The metamodel is obtained considering two noise factors, a blocking factor, a small number of runs and replications.

Keywords: Design of Experiments, Blocking, Randomization, Low-Pass Filter, Real-Time Load Emulation

 

 

Number 2/2013

 

INTERACTIVE TOOLS FOR LEARNING FOREIGN LANGUAGES – CASE STUDY: CLUJ-NAPOCA GERMAN CULTURAL CENTRE

Victor-Eugen SALCA, Roxana-Dorina MOLDOVAN, Bogdan ORZA, Aurel VLAICU

Abstract: The Cluj-Napoca German Cultural Centre organises German language courses for different levels of linguistic competence. In teaching German, the tutors implement interactive learning concepts, mostly serious game. A feedback survey focused on the students’ perception on the interactive techniques used and how further implementing interactive learning techniques improve the German courses was conducted. This paper shows the results of the survey, and interprets them from the perspective of the lifelong learning concept implemented at the Cluj-Napoca German Cultural Centre. The results interpretation was considered when implementing an Adobe Flash® serious game for writing and vocabulary exercises.

Keywords: e-learning, lifelong learning, foreign languages, special education, serious game, problem based learning

 

 

ACOUSTIC ECHO CANCELLATION USING WAVELET TRANSFORM AND ADAPTIVE FILTERS

Bianca Alexandra FAGARAS, Cristian CONTAN, Marina Dana TOPA

Abstract: The paper proposes a new method for acoustic echo cancellation(AEC), in order to improve the performances of the normalized least-mean-square (NLMS) and non-parametric variable-step-size-NLMS (NPVSS-NLMS) algorithms. The acoustic system is modeled using an impulse response measured in a low reverberant enclosure. After using the two algorithms for identifying the mentioned acoustic system, one can observe that the NPVSS-NLMS provides better performances than the NLMS in terms of convergence rate at the same steady-state error. Simulations have been performed using both white Gaussian noise and a non-stationary audio signal as source sequences. For further convergence improvement, we propose the wavelet transform for the input signal decomposition.The two adaptive algorithms are applied to the wavelet structure obtained. The proposedwavelet based identification methods provide better convergence rates than each of the two conventional adaptive filters. Also one can notice that the wavelet NPVSS-NLMS(WNPVSS-NLMS) provides

better performances than the wavelet NLMS (WNLMS). MATLAB simulations performed for white Gaussian noise and nonstationary

audio signal used as input prove the previous statements.

Keywords: wavelet transform, adaptive filters, acoustic echo cancellation, convergence rate

 

 

IMPLEMENTATION ISSUES FOR A VIDEO STREAMING SERVER IN IEEE 802.11E WLANS

Gabriel LAZAR Tudor Mihai BLAGA Virgil DOBROTA

Abstract: Recent years have seen a proliferation of real-time multimedia traffic over a more and more heterogeneous Internet. Video streaming at high, consistent quality over wireless links proves to be a difficult task. Several optimization techniques have been proposed and studied, mostly through theoretical analysis and simulation. This article describes the implementation of a cross-layer H.264 video streaming server and the evaluation of its performance in IEEE 802.11e WLANs. Measurements present the benefits of employing several key cross-layer mechanisms which aim to improve the video transmission quality over wireless links. A cross-layer signaling solution is implemented, which addresses important QoS issues between user-space and the kernel traffic control and device driver components. Network support for efficient multiqueue transmission is enabled in the Linux network driver. In addition, the paper discusses the implementation of an enhanced scheduling scheme for the receive-side, in order to provide prioritization of video streams over elastic traffic, and also for better control of latency and improved throughput for multimedia flows.

Keywords: cross-layer optimization, H.264, IEEE 802.11e, multiqueue hardware, quality of service, video streaming

 

 

PERSONALIZED SECURITY MECHANISM FOR MOBILE CLOUD APPLICATIONS

D. POPA, K. BOUDAOUD, M. CREMENE, M. BORDA

Abstract: Mobile Cloud Computing is a model that brings several advantages to the applications developed for mobile devices. In

this paper, we focus on securing data used and processed by component-based mobile cloud applications. We first show some

criteria that may affect the security properties (e.g. integrity, confidentiality and authenticity) applied to a component-based

mobile cloud application data. Then, we describe a security solution that takes into account these criteria.

Keywords: Mobile Cloud Computing, Applications, Security

 

 

AN EFFICIENT APPROACH TO MINIMIZE POWER AND AREA IN CARRY SELECT ADDER USING BINARY TO EXCESS ONE CONVERTER

K. RAMAMOORTHY, T. CHELLADURAI, V. MANIKANDAN

Abstract: Carry Select Adder (CSLA) is one of the fastest adders used in many data-processing processors to perform fast arithmetic functions. From the structure of the CSLA, it is clear that there is scope for reducing the area and power consumption in the CSLA. This work uses a simple and efficient gate-level modification to significantly reduce the area and power of the CSLA. Based on this modification 8, 16, 32, and 64-b square-root CSLA (SQRT CSLA) architecture have been developed and compared with the regular SQRT CSLA architecture. This work evaluates the performance of the proposed designs in terms of delay, area, power, and their products by hand with logical effort and through custom design and layout in 0.18- nm CMOS process technology. The results analysis shows that the proposed CSLA structure is better than the regular SQRT CSLA. A simple approach is proposed in this paper to reduce the area and power of SQRT CSLA architecture. The compared results show that the modified SQRT CSLA has a slightly larger delay (only 3.76%), but the area

and power of the 64-b modified SQRT CSLA are significantly reduced by 17.4% and 15.4% respectively. The power-delay product and also the area-delay product of the proposed design show a decrease for 16, 32, and 64-b sizes which indicates the success of the method and not a mere trade-off of delay for power and area.

Keywords: Application-Specific Integrated Circuit (ASIC), area-efficient, CSLA, low power

 

 

NOAA SIGNAL DECODING AND IMAGE PROCESSING USING GNU-RADIO

Nicolae CRISAN, Ligia CREMENE

Abstract: The paper presents several technical issues and software implementations proposed in order to decode, process, and render images received from NOAA satellites. NOAA satellites are seeking extreme weather events on Earth. The proposed solutions offer the possibility of decoding and processing the NOAA signals, by using the PC and its audio-in port, without any extra signal processor-based boards. Also, system architecture is open, according to the GNU requirements and hardware independent, due to its capability of working offline, by decoding a pre-recorded .wav file. Finally, the results are converted to a standard image file that lends itself easily to processing for relevant feature extraction. In spite of its hardware independency, the algorithm is capable to operate also online with SDR receivers. These receivers must follow the Universal Software Radio Peripheral specifications on USB ports.

Keywords: Software Defined Radio (SDR), Universal Software Radio Peripheral (USRP), GNU radio

 

 

A NEW APPROACH TO SIGNAL REFLECTIONS ANALYSIS ON PCB TRANSMISSION LINES TERMINATED ON NONLINEAR IMPEDANCES

Monica ZOLOG

Abstract: A novel approach for analyzing signal reflections on transmission lines terminated on non-linear impedances is presented. The starting point of this new method is the Bergeron diagram method. The results obtained by the well-known method are used as input data for the new approach. This new method is implemented in MatLab and is suitable for both linear and non-linear impedances, and also for driving signals having rise/fall times of any value. This is the novelty of this approach compared to the Bergeron method which is valid only for fast command signals. The results are compared and they show good agreement with the ones obtained by experimental measurements performed with a high-performance digital oscilloscope.

Keywords: signal reflections, transmission line, non-linear impedance, time domain measurements

 

 

ADVANCED METHODS AND TOOLS FOR ONLINE EVALUATION OF MULTIPLEXING SERVICES AND ENCODING PARAMETERS IN DIGITAL VIDEO BROADCASTING

Alexandru Florin ANTONE, Radu ARSINTE

Abstract: The paper contains a practical study regarding some aspects of multiplexing and encoding implementation in DVB systems. Starting from the ITU-R DTV model, the main blocks are investigated from theoretical point of view, emphasizing the points where is still possible to bring improvements in optimized practical implementation. The theoretical considerations are followed by an experimental study, performed online, using as a core element TSReader Pro, a software package developed to realize the analysis of different aspects (services, multiplexing, RF channel) in DTV (Digital TV). The results are useful in future service improvements, revealing, for example, the unused capacity in each distribution scenario.

Keywords: ITU-R DTV model, DVB, Statistical multiplexing, Multiplex analysis

 

 

Number 1/2013

 

A DERIVED ROBUST STATISTICS APPROACH FOR ADAPTIVE

VOLTERRA FILTERS APPLIED IN NONLINEAR ACOUSTIC ECHO CANCELLATION SCENARIOS

Cristian CONTAN, Marina Dana TOPA, Botond Sandor KIREI, Ingrid Maria KOVACS

Abstract: The paper proposes a novel updating concept for adaptive Volterra kernels that relies on a robust statistics approach. The optimization of a certain cost function leads to the update equations for the linear and quadratic kernels with respect to an optimum error threshold, set according to the relative local noise power. Thereby, for absolute error samples larger than the threshold, which occur mainly in the convergence stage of the adaptive filter, the adaptation is achieved using a sign version of the Normalized Least-Mean-Square algorithm. In the saturation stage of the filter, when most of the absolute values of the error samples are smaller than the particular threshold, the adaptation is carried out based on the Normalized Least-Mean-Square algorithm. This technique tends to eliminate the influence of large valued outliers by improving the convergence of the conventional Volterra filters and maintaining the same misadjustment in acoustic echo cancellation setups. The acoustic system is designed using measured Volterra kernels. The method is tested in terms of Echo Return Loss Enhancement for different probability density functions of the source signal. Also, for the white Gaussian noise case as excitation, a new convergence attribute is introduced for a more precise comparison of the adaptive methods.

Keywords: Acoustic echo cancellation, Volterra filters, adaptive algorithms, robust statistics

 

 

CONVERGENCE RATE AND STEADY-STATE ERROR IMPROVEMENT IN

ACOUSTIC SYSTEM IDENTIFICATION USING THE COMBINATION OF LINEAR NLMS ADAPTIVE FILTERS

Ingrid Maria KOVACS, Cristian CONTAN, Marina TOPA

Abstract: The paper proposes the combination method applied on adaptive linear filters in acoustic system identification. The filters are based on the Normalized Least-Mean-Square algorithm and the combination is applied on two filters of different step sizes and different filter lengths. To evaluate the proposed technique, two types of source signals are used: a white Gaussian noise and a non-stationary audio signal. The performance of the adaptive scheme is analyzed in terms of Echo Return Loss Enhancement. The efficiency of the proposed concept was compared with the one of the two sub-band decomposition model. The advantages of the proposed method were outlined in terms of convergence rate and steady-state error.

Keywords: Acoustic system identification, adaptive filtering, adaptive combination of filters, sub-band decomposition

 

 

SIMULATION OF DWDM COMMUNICATION SYSTEM AT 8.10 Gbit/s USING CONTINUUM SOURCE IN THE TRANSMITTER

L. GRAINI,  K. SAOUCHI

Abstract: In this paper, the 8-channel DWDM communication system at 8.10 Gbit/s is demonstrated. Laser diodes used in conventional DWDM link have been replaced by continuum covering C-band of optical communication window. If the initial source is delivered at repetition rate of 10 GHz, The spectral slicing of this continuum allows obtaining the 8- channel at different wavelengths where each channel is a pulses train has the same repetition rate. Then, they were modulated, in order to achieve data transfer rate of 10 Gbit/s. The modulation format RZ-OOK was used for channels coding. The proposed system components were simulated using COMSIS software.

Keywords: DWDM system, nonlinear optics, continuum, multiplexing, demultiplexing.

 

 

RELIABLE POWER INTEGRITY ANALYSIS USING MATLAB

Raul T. FIZESAN

Abstract: In Power Distribution Network (PDN) design of high-speed systems appears to be contradictory design philosophies, component selection and layout rules. A not properly designed power distribution increases the supply rail noise, but this impacts the system’s performance in statistical manners, convoluted with many other variables. For this reason, the analysis and the design of a PDN is crucial in the real world of high-speed board systems. For a good reliability, the PDN should meet the target impedance ([2][5][9][10][13][16]) across the frequency range, up to the highest frequency of interest. Primarily, we need to characterize the high-frequency resonance peaks. Several commercial tools are available to analyze a PDN, [2][14][16][18], but the goal of this paper is to analyze a PDN using a tool developed in MATLAB that calculates and plots the self-impedance of an integrated circuit and the transfer impedance between two integrated circuits of a PCB consisting of a power-ground planes pair. The MATLAB tool gives the possibility to analyze the effects of the planes’ parameters on the noise and to find a tested decoupling strategy to optimize

the PDN.

Keywords: power integrity, decoupling capacitors, target impedance, self-impedance, MATLAB tool

 

 

DETECTING DEPENDENCIES BETWEEN STATES OF MULTIPLE DATA STREAMS

Stefan S. DRAGOS, Mircea F. VAIDA, Cristian M. URECHE, Loreta A. SUTA, Alin VOINA

Abstract: The subject of dependency detection has been addressed many times during the last 20 years, and methods that extract frequent patterns or temporal information from data have been developed. The information extracted has been used in fields like medicine, network surveillance, stock analysis and many others, thus proving its importance in real life. But as technology evolved, the amount of generated information grew to the point where storing it for later analysis was no longer an option. In this paper we propose a method of temporal dependency detection between states of heterogeneous data streams, that processes the information as it arrives and discards it afterwards, and we test it on real surveillance data.

Keywords: Data mining, stream mining, temporal dependency detection

 

 

ON THE CHOICE OF THE METHOD FOR OBTAINING THE ROOM IMPULSE RESPONSE

Adrian Calin FARCAS,  Marina Dana TOPA

Abstract: The paper presents an overview on the direct or indirect methods used to obtain the acoustic room impulse responses. The analysis of the most relevant methods is based on experimental measurements and the goal is to achieve measurements for multiple position acoustic analysis in a live performance room. The objective acoustic parameters of an enclosed space may be obtained from the impulse response of the room.

Keywords: Impulse Response, Maximum Length Sequence, Inverse Repeated Sequence, Time-Stretched Pulses, Logarithmic Sine Sweep

 

 

Number 4/2012

 

DECISIONS TOOLS IN FINANCIAL TIME SERIES PROCESSING: A STOCHASTIC DOMINANCE PERSPECTIVE

Mircea-Cristian GHERMAN, Cyrille PIATECKI*, Monica BORDA

Abstract: The aim of this paper is to provide an implementation of a stochastic dominance algorithm that establish which of the two distributions is preferred by individuals who have an aversive risk profile. Although, this topic related to decision making theory could be applied in almost every filed where one has to choose between empirical distributions, this study is performed on financial markets across Europe. The focus is to emphasis the impact of an important event (or shock) which occurs in the evolution of a time series. In the case of financial market such an event has been considered the latest financial crisis. The relevance of the study consist in that, it offers a different perspective for investors when choosing between the different financial assets. Our approach indicates that using a generalized stochastic dominance concept, the effects of an important event such the financial crisis is caught also in the attitude of individuals in regards to risk. This approach together with the Meyer algorithm for generalized stochastic dominance is a useful tool in risk aversion analysis when choosing among distributions. Its applicability could be also extended to other fields where a distinction between empirical distributions of time series (signals) is necessary.

Keywords: stochastic dominance, utility function, risk aversion, empirical distributions

 

 

EVALUATION OF THE PLASMA CLEANED SURFACE OF A HERITAGE WOODEN PAINTING USING IQA METHODS

Oana Loredana BUZATU, Bogdan Tudor GORAS, Liviu GORAS, Emil Ghiocel IOANID

Abstract: In this paper a new approach regarding the assessment of the visual efficiency of the plasma cleaning treatment applied in artwork restoration is discussed. The proposed method, which was tested in the case of a wooden painting, evaluates the competence of the cleaning process using image quality indexes based on structural similarity and metrics based on peak-signal-to-noise ratio (PSNR) combined with human visual system (HVS) properties. A systematic comparison between the effectiveness of these metrics and a discussion concerning their performances in the context of evaluating the plasma treatment were conducted.

Keywords: heritage, plasma cleaning, image quality assessment, structural similarity, PSNR-HVS.

 

 

NEURO-FUZZY STEREO CAMERA CALIBRATION ARCHITECTURES USED IN INTERACTIONS WITH MEDICAL VOLUMES

Marius DANCIU, Radu ORGHIDAN, Mihaela GORDAN, Aurel VLAICU

Abstract: Computer assisted diagnosis/surgery systems need improved solutions for visualization and interactions, as the virtual probe tools. This work presents such an interaction tool and its applications in medical imaging. The novelty is represented by the use of neuro-fuzzy systems in 3D virtual probe positioning; two such configurations are presented and compared to the crisp positioning system. We prove that the neuro-fuzzy solutions outperform the crisp solutions in terms of computational complexity and positioning accuracy. The proposed framework integrates several functionalities: positioning of arbitrary cutting planes; 3D editing, measurements and annotations; stereo visualization. Being a flexible architecture, other functionalities could be integrated in the future.

Keywords: neuro-fuzzy, 3D interaction, 3D editing, stereo calibration

 

 

ON USING DNA DISTANCES AND CONSENSUS IN REPEATS DETECTION

Petre G. POP

Abstract: Sequence repeats are the simplest form of regularity and analyzing repeats can lead to first clues to evidencing new biological phenomena. Many of the methods for detecting repeated sequences are part of the digital signal processing (DSP) field and, therefore, the numerical representation of genomic signals is very important. Most of these methods use distances and consensus sequences to generate candidate sequences. This paper presents results obtained using a dedicated numerical representation and a mapping algorithm with different distances and consensus types to isolate the position of DNA repeats with specific lengths.

Keywords: genomic signal processing, sequence repeats, DNA numerical representations, DNA distances, DNA consensus

 

 

INTERACTIVE LEARNING CONCEPT IN SPECIAL EDUCATIONAL PROGRAMMES FOR HIGH-PERFORMANCE ATHLETES

Victor-Eugen SALCA, Roxana-Dorina MOLDOVAN, Bogdan ORZA, Aurel VLAICU

Abstract: In order for children to maximize their athletic performances as young athletes, they must engage in high-performance sports resulting in the neglection of the academic training. As the athletic career comes to an end, the lack of certain non-athletic competences influences the difficulty of socio-professional reintegration of the former athlete. The training and competition schedules make attending to regular classes impossible. The way the regular playing season and the extra-seasonal training schedule influence the school attendance and academic performance of a cadets level volleyball team is studied. The paper identifies the way e-learning can be used to efficiently help athletes to stay in touch with school, without interfering with their athletic career.

Keywords: e-learning, lifelong learning, distance learning, athletes’ education, Moodle plugin, CAT, virtual class.

 

 

AN AFFORDABLE APPROACH FOR EXTENDING THE SDR CONCEPT OVER THE X RADIO BAND

Nicolae CRISAN

Abstract: In this paper several technical solutions are proposed to extend SDR technology to X microwave band, at low cost. This extension requires a hardware combination of modules, most of them readily available on market from commercial suppliers. The great advantage of the proposed system lies on its ability to process digital signals from X band on the PC after several frequency down conversions. To make the X band accessible a set of measures is proposed that aim to transform a complex problem with a high degree of nonlinearity in a simple linear problem by omitting some parameters.

Keywords: Software Defined Radio, Down-converter, X-band, Microwaves

 

 

DESIGN OPTIMIZATION OF ANALOG ACTIVE CIRCUITS USING THE GENETIC ALGORITHM

Ioana SARACUT, Marius NEAG, Raul ONET, Istvàn KOVÀCS

Abstract: This paper presents an optimization tool for the design of analog circuits implemented with commercially-available discrete devices. It takes into consideration the standard values available for the passive components, as well as the nonidealities of commercially-available active devices. The multi-criteria optimization is based on a genetic algorithm developed in Matlab specifically for this task, that works in conjunction with components of the OrCAD package, namely the OrCAD CIS Capture and PSpice. The effectiveness of the proposed procedure is demonstrated by a real-life example, the optimized design of a fourth-order low-pass filter implemented with Operational Amplifiers and discrete resistors and capacitors.

Key words: analog circuit design, active filter, genetic algorithm.

 

 

AN EXPERIMENTAL ANALYSIS OF SIGNAL REFLECTIONS ON PRINTED CIRCUIT BOARD TRANSMISSION LINES

Monica ZOLOG

Abstract: Signal reflections for several digital integrated circuit families are experimentally analyzed by using high-speed time domain measurements. Four test setups are designed and fabricated - the interconnect lines have different geometrical parameters. The signals that are transmitted on the line are measured using a high-performance digital oscilloscope. Each board is successively equipped with ICs from the analyzed families. Simulation results are presented in comparison with experimental results. It is shown that the circuit model must be in accordance with the manufacturer specifications in order to obtain valid simulation results.

Keywords: signal reflections, microstrip, transmission line, time domain measurement

 

 

Number 3/2012

 

ADVANCED VHF GROUND STATION FOR NOAA WEATHER SATELLITE APT IMAGE RECEPTION

Vlad DASCAL, Paul DOLEA, Octavian CRISTEA, Tudor PALADE

Abstract: This paper presents a short overview of the available LEO weather satellites transmitting APT (Automatic Picture Transmission) images. Also, this paper shows the development and setup of an advanced VHF ground station capable of receiving APT images from LEO weather satellites. This ground station will be capable of automatic tracking of selected NOAA satellites by using a steerable high gain multi-purpose VHF X-Quad Yagi antenna. The 137 MHz FM signal from NOAA satellites is received using a wideband Icom receiver and is processed using an external USB soundcard with dedicated software for APT/WEFAX image decoding. The proposed solution will provide low-cost access to APT data from NOAA POES weather satellite fleet. Tests were completed with good results and based on the experimental data, it demonstrates the technical feasibility of this improved receiving system.

Keywords: Low Earth Orbit, ground station, NOAA, weather, APT

 

 

SIMPLIFICATION OF A LINK PERFORMANCE PREDICTION METHOD BASED ON MUTUAL INFORMATION

Mihai-Alin Badiu, Mihály Varga, Vasile Bota,  Aurel Vlaicu

Abstract: In this paper, we propose a method to predict the block error rate performance of the wireless links in OFDM communication systems. Our approach relies on a performance prediction methodology that uses the mean mutual information per coded bit as quality measure. We make a simplification within this methodology such that, contrary to existing approaches, our method needs the generation and storage of much less reference performance curves. Simulation results obtained for both additive white Gaussian noise and multipath fading channels demonstrate the very good prediction capability of the proposed method.

Keywords: Link performance prediction, OFDM, block error rate, mutual information, MMIB

 

 

IMPROVEMENT OF JOT’S REVERBERATION ALGORITHM

Norbert TOMA,Marina TOPA, Ioana SARACUT

Abstract: The paper considers an artificial reverberation algorithm developed by Jot that simulates the behavior of a real concert hall and takes into account the reverberation time’s variation with respect to frequency by using absorbent filters. This work includes both Jot’s design of the absorbent filters and an improved version of it. Simulations are run and objective acoustic parameters are computed. The just noticeable difference (JND) is used to find the best artificial reverberator to ensure the best acoustic behavior. To assure the best acoustic behavior the just noticeable difference (JND) are used according to ISO standards.

Keywords: artificial reverberation, acoustic parameters, digital filters, just noticeable difference

 

 

MODIFIED SETTING NUMERICAL DISTANCE PROTECTION OF POWER

TRANSMISSION LINE IN PRESENCE TCSC USING IEC 62850 COMMUNICATION PROTOCOL

Mohamed ZELLAGUI, Abdelaziz CHAGHI

Abstract: This paper presents a study of the performance of numerical distance relay for a 400 kV electrical transmission line compensated by series Flexible AC Transmission System (FACTS) i.e. Thyristor Controlled Series Capacitor (TCSC) is connected in the middle of the transmission line and can be used in voltage mode control or reactive power injection mode, and damping of power system oscillations in high power transfer levels. IEC 61850 is a new international standard for communication networks and systems in substations that defines different message types based on their transfer time requirements. In IEC 61850 based Substation Automation systems (SAS). The effect of the TCSC on the measured impedance at the relaying point is investigated. The setting zones protection deals with the absence and presence of TCSC using IEC 61850 communication protocol for two stations i.e. Principal station and TCSC station with proposed scheme for tele-protection for studies the effects of TCSC insertion on the total impedance of a transmission line protected by MHO distance relay and the modified setting zone protection in capacitive and inductive mode for three forward zones (Z1, Z2 and Z3) have been investigated in order to prevent circuit breaker

nuisance tripping to improve the performances of distance relay protection.

Keywords: Numerical Distance Relay, Setting Zones, TCSC, Tele-Protection, Substation Automation System, IEC 61850

Communication Protocol

 

 

RESONANT CAVITIES FOR DUPLEX FILTERS IN VHF REPEATERS: ANALISYS, IMPLEMENTATION, AND TESTING

Gheorghe SAUCIUC

Abstract: In this paper I presented the role of filters duplex in structure of voice repetors, operating principles specific subassembly transmission and subassembly reception. I wanted to do a filter, for building a repeater duplexer for band 144Mhz - 146Mhz. I described how to make a cavity. Leaving the wiring diagram and I checked, depending on the size, if designed cavity can be used for VHF frequencies corresponding. I examined the response of this filter, for receiving and transmitting frequencies, specific to repetor that will be made.

Keywords: repeater, band pass filters (BPF), band rejection filters (BRF), resonant cavity, attenuation

 

 

A NOVEL PREAMBLE DESIGN FOR CHANNEL ESTIMATION IN MIMO OFDM

SYSTEMS RESULTING IN ENHANCED THROUGHPUT

Shakeel Salamat ULLAH

Abstract: Multiple Input Multiple Output (MIMO) system combined with orthogonal frequency division multiplexing (OFDM) provides a reliable solution for enhanced data rate next generation wireless systems as MIMO produces additional parallel channels in spatial domain which allows high data rates to be achieved without extra bandwidth and transmitted power. While OFDM provides high bandwidth efficiency and robustness to multipath fading due to orthogonal subcarriers that convert frequency selective channel into parallel frequency flat channels. Channel estimation is integral part in coherent MIMO-OFDM systems. Burst communication system utilizes data aided channel estimation algorithms due to their fast convergence and accuracy relative to blind estimation algorithms. Data aided schemes in MIMO-OFDM employ periodic transmission of training data from transmitter for channel estimation at the receiver. In MIMO-OFDM systems higher number of transmit/receive antennas causes a bigger overhead for channel estimation. This paper proposes novel preamble design with low overhead for channel estimation. Simulation results and analysis of time based channel estimation algorithm resulting in spectrally efficient MIMO-OFDM system have also been provided.

Keywords: Burst Communication, preamble design, time based channel estimation, MIMO-OFDM

 

 

BEARING DEFECTS SIGNALS DEMODULATION USING SHOCK FILTERS

Bogdan BETEA, Mircea-Cristian GHERMAN, Monica BORDA, Petru DOBRA

Abstract: A fundamental problem in the development of faults detection and diagnoses methods is to obtain fault signature data as clear as is possible. This article is focused on vibration signals generated by rolling bearings with localized defects A demodulation method is presented for rolling bearings defects signals, which is used on detection of defects signatures (frequencies). The proposed demodulation methods are based on one dimensional shock filters, which are intensively used on image processing but as two dimensional filters. Different shock filters implementations used for the demodulation method are provided together with a comparison of the results. In order to get a clearer result of the frequency localization for the rolling bearing defects, the shock filter formalism is used together with a Gaussian filtering technique. Then, based on these approaches and on a demodulation method, an identification of the defects is obtained. The obtained results are then compared with a demodulation method which is based on the complex shock filters. The experimental results are in favor of complex shock filter approach, which we considered to be a better approach successfully applied in identification of rolling bearing defects.

Keywords: shock filter, bearing defect, demodulation, envelope detection, vibration

 

 

A GENETIC ALGORITHM FOR THE OPTIMIZATION OF THE ANALOG CHANNEL FILTER

Ioana SARACUT, Marius NEAG, Victor POPESCU, Erwin SZOPOS

Abstract: This paper presents a method for optimizing the transfer function of the channel filter within the Zero-Intermediate Frequency radio receivers of Orthogonal Frequency-Division Multiplexing (OFDM) broadcasts. The method is based on a genetic algorithm (GA) and has several distinctive features: the type and order of the transfer function can be changed during the optimization process; the optimal solution is calculated based on three objective functions that allow an independent control of the pass band and stop band; a real test signal including wanted and adjacent channels is applied at the filter’s input, which allows the estimation of the nonlinearity effects of the filter. Another important feature is that for a given set of conditions, the GA is run multiple times, taking full advantage of the random permutations employed by the algorithm: the multiple results are not only used to select the very best but they are also analyzed statistically in order to estimate the convergence of the algorithm.

Keywords: circuit optimization, genetic algorithm, analog channel filter, OFDM radio receiver

 

 

MIPIOS – MEDICAL IMAGE PROCESSING APPLICATION ORIENTED FOR MOBILE DEVICES

Marius-Cristian URECHE, Mircea-Florin VAIDA

Abstract: Mobility is thought as a key concept that fundamentally changed our way of working and interacting during professional life. However, mobility is a concept of particular interest in the field of medicine and particularly in tele-health. In this paper we present a novel application whose main objective is to take advantage of the major advances of mobile devices for immediate application in the medical domain. We designed our application entitled MIPiOS (Medical Image Processing on iOS) for manipulating, analyzing and processing medical images in DICOM format by using the benefits of touchscreens. With the addition of the Retina Display for several mobile devices produced by Apple, our proposed application’s benefits are even more easily to be exploited because of better finger gestures recognition, better resolution and

better contrast.

Keywords: medical image processing, iOS-based mobile devices, DICOM image visualization, mobile software application.

 

 

Number 2/2012

 

TEST POWER OPTIMIZATION WITH REORDERING OF GENETIC TEST

VECTORS FOR VLSI CIRCUITS

Balwinder SINGH, Sukhleen Bindra NARANG, Arun KHOSLA

Abstract: Power optimization is one of the important challenges in VLSI circuit for testing engineers. Larger power dissipation becomes the reason for overheating and with every increase in 10oC in operating temperature, failure rates for the component on a chip doubles. Power dissipation is directly proportional to switching activities of the components on Integrated Circuits. Power optimization is possible only by minimizing the toggling count (switching activity) for combinational and sequential components on a chip area. This paper describes novel technique of power optimization by rearranging the test patterns generated by Genetic Algorithm. The logic discussed here calculates and re-arrange these genetic test patterns according to minimum toggling arrangement of test patterns. This algorithm is applied on the ISCAS85 and ISCAS89 benchmark circuits. The experimental results show that maximum power dissipation in the combinational and sequential logic circuits are reduced by the average of 31% and 36% respectively.

Keywords: GA (Genetic Algorithm), power optimization, Hamming Distance (HD), CUT (Circuit under Test)

 

 

ROBUST FEATURE SETS FOR THE SPEECH PROCESSING

Zhandos YESSENBAYEV

Abstract: This paper compares the various feature sets for speech signal such as cepstral-based and acoustically-driven parameters to analyze and see how robust they are in different noise environments. Despite the success of the cepstral-based features in the tasks of speech processing, they are still susceptible to noise. In this work, we explored how to extend MFCC-based feature sets with other acoustically-driven parameters to add some robustness for the segmentation of speech. Experiments conducted on TIMIT dataset using the standard HMM/GMM framework show that better performance can be achieved if cepstral-based features are combined with acoustic parameters.

Keywords: MFCC, acoustic parameters, HMM, speech segmentation, TIMIT

 

 

CODING TECHNIQUE FOR INFORMATION SENT THROUGH A PCB PARALLEL DATA BUS FOR AVOIDING CROSSTALK

Mihai DARABAN, Dan PITICA

Abstract: This paper presents a crosstalk avoidance code (CAC), developed by analyzing the integrity of the signals sent through a

printed circuit board (PCB) bus. There was also determined the influence of trace impedance dynamic variation regarding the

switching pattern. In CAC are integrated rules related to switching patterns that help creating a forbidden transition channel

(FTC). A FTC has the advantage that does not only reduce the crosstalk effects but also resolves the inter-symbol interference (ISI)

propagation problems. The CAC developed has as purpose an error free transmission at high speeds on a PCB build with low cost

technologies, without using high speeds manufacturing processes.

Keywords: switching pattern, bus coding, crosstalk, characteristic impedance

 

 

SIMULATION OF THE FORD–FULKERSON ALGORITHM USING OMNET++

Paula SEVASTIAN, Andrei Bogdan RUS, Virgil DOBROTA

Abstract: This paper presents a contribution to the OMNeT++ 4.1 simulator in C++ by integrating our own implementation of the FF - Ford-Fulkerson multipath routing algorithm. In order to validate it, an eight-node testbed works with dynamic requested and released flows on each link, updated every second. Four simple scenarios were proposed, considering all possible combinations of fixed and/or random variation laws. Additionally, the path search algorithm BFS - Breadth First Search was implemented too. This software package running under Fedora Core gets the input data from three files called Nodes, Connections and Params. This mechanism provides the interworking between the C++-based FF simulator and the Java-based application in Intellij IDEA 10.5, used as traffic variation simulator. The graphical representations of the occupied, the requested and, respectively, the released flows are obtained by aggregating the contributions of all flows from the paths for any given source–destination pair.

Keywords: Breadth First Search, Ford - Fulkerson, multipath routing algorithm, OMNeT++

 

 

GLOBAL BLUR ASSESSMENT AND BLURRED REGION DETECTION IN NATURAL IMAGES

Loreta A. ŞUTA, Mircea F. VAIDA

Abstract:In this paper we present a global no-reference blur metric based on a local approach of blur detection in natural macro-like images. The purpose is to study the possibility of global assessment based on thedetection of blurred regions over an analyzed image. In our case, it represents the first step for a plant recognition system. Blur detection works on small non-overlapping blocks using wavelet decomposition and edge classification. At the block level the number of edges is less than on global images. A set of rules is obtained by a supervised decision tree algorithm trained on a manually labeled blurred/un-blurred image blocks which leads to a qualitative decision of the blurriness/sharpness of the regions. Experimental results show how the qualitative decision may be transformed in a global assessment.

Keywords: global blur assessment, local blur detection, no-reference blur metric, wavelet analysis

 

 

ACCELERATED AGEING TESTS OF ALUMINUM ELECTROLYTIC CAPACITORS FOR EVALUATING LIFETIME PREDICTION MODELS

Rajmond JÁNÓ,  Dan PITICA

Abstract: During the course of the presented work accelerated ageing tests at constant temperature for aluminum electrolytic capacitors were carried out. The obtained results from practical tests are compared with projections of the lifetime of the capacitors given by current theoretical prediction methods and the accuracy of these methods is evaluated. Finally, two prediction methods are combined in order to give a higher accuracy lifetime prediction algorithm.

Keywords: lifetime prediction, aluminum electrolytic capacitors, reliability testing

 

 

AN APPROACH TO NONRIGID US-MRI REGISTRATION OF PELVIC ORGANS FOR ENDOMETRIOSIS DIAGNOSIS

Marius-Cristian URECHE, Mircea-Florin VAIDA, Stefan DRAGOS, Loreta SUTA, Alin VOINA

Abstract:In the field of multimodal medical image registration, the main elements that researchers focus on are the transformation, the similarity metric and the optimization algorithm. There is no state-of-art registration method for pelvic organs when endometriosis is taken into consideration. This paper proposes a chain of practical implementations for the aforementioned key elements of the image registration framework so that pelvic organs and endometrial cysts are registered between ultrasound (US) and magnetic resonance imaging (MRI). For this purpose, the Free-Form Deformation (FFD) was taken into consideration as spatial transformation, in conjunction with mutual information as similarity measure and gradient descent as optimization strategy. A multi-scale image registration algorithm is implemented to increase the speed of convergence. Registration results show that our approach is feasible for multimodal medical image registration of pelvic organs.

Keywords: medical image registration, free-form deformation, ultrasound, magnetic resonance imaging, B-spline functions

 

 

AUTO-COMPENSATION METHOD FOR A BUCK CONVERTER

Toma PATARAU, Radu ETZ, Dorin PETREUS

Abstract: The paper proposes a method to compute the passive components values of a synchronous buck converter. The method is implemented on a step down converter using a DSC(digital signal controller) F28027 from Texas Instruments. A third order IIR filter is used for compensation and the coefficients are computed automatically based on the components determined values. The algorithms for computing the inductance, capacitance and capacitor parasitic resistance are presented in detail with flow charts and simulations. The software is then transposed in code composer and the algorithm is tested on the experimental setup. The algorithm once implemented doesn’t need recalibration of the compensator coefficients made by an operator in case of a hardware change in the power circuit.

Keywords: auto-compensation, digital control, step down converter

 

 

DECOUPLED SECOND-ORDER VOLTERRA FILTER STRUCTURE USING THE NLMF ADAPTIVE ALGORITHM FOR NONLINEAR ACOUSTIC ECHO CANCELLATION

Cristian CONTAN, Marina TOPA

Abstract: The paper proposes a nonlinear acoustic echo cancellation setup based on a decoupled scheme of the second-order adaptive Volterra filter. The acoustic distortions that take place in the Loudspeaker-Enclosure-Microphone setup are modeled using measured linear and quadratic Volterra kernels. The adaptation of the filter weights is achieved by exploiting the Normalized Least-Mean-Fourth algorithm. The proposed method is compared with the usual direct adaptation procedure of the second-order Volterra filter using the same algorithm and the same step size values. Comparisons between these techniques regard the evolution of the Echo Return Loss Enhancement in terms of convergence rate and steady-state error. Experimental results for Laplacian distributed excitation show that the new approach increases the speed of convergence in comparison to the one given by the coupled version without enhancing the steady-state error.

Keywords: Acoustic echo cancellation, Volterra filters, adaptive algorithms, nonlinear distortions

 

 

A MATLAB GUI FOR SIMULATING THE PROPAGATION OF THE ELECTROMAGNETIC FIELD IN A 2-D INFINITE SPACE

Ioana SARACUT, Victor POPESCU, Marina Dana TOPA

Abstract: This paper presents a Matlab-based graphical user interface (GUI) that allows the simulation of the propagation of an electromagnetic wave in a 2-D infinite space. The homogeneous, isotropic medium is modeled by using the Finite– Difference Time-Domain technique and its infinity is modeled with the Perfectly Matched Layer. The GUI provides different ways of displaying the graphical results: 3-D animation (or snapshots from the animation) of the wave propagation, field variations in time recorded by probes placed in the medium, the average power spectrum and also calculates the reflection coefficients. The capability of the proposed GUI is demonstrated with a numerical example: the simulation of the wave propagation in a field with cylindrical symmetry.

Keywords: Finite-Difference Time-Domain, Perfectly Matched Layer, Matlab GUI, electromagnetic field.

 

 

Number 1/2012

 

PAIRING FOR ELLIPTIC CURVES WITH EMBEDDING DEGREE 1 DEFINED OVER PRIME ORDER FIELDS

Bogdan TUDOR

Abstract:  In the last years, prime order pairing-based cryptography has received much attention. The embedding degree 1 is very appealing because the computations can be performed without any extension fields, but the efficiency parameter and this particular value of the embedding degree imposes some limits about the possible curves. This paper presents an analysis of the existing algorithms for constructing such curves and how they are related to the concept of pairing friendly. The original contribution of this paper consists in the proposal of two new algorithms. Their results are analyzed from the efficiency and computational point of view. In addition, it is presented the results of pairing implementation in Java language for the curves generated with the successful algorithm.

Keywords: : computer software, polynomial methods, data privacy, algorithms, elliptic curves

 

 

WAVE ITERATIVE PROCESS STUDY OF DOUBLE DIPOLE SCATTERING

Nicolae LUCANU    Irinel Valentin PLETEA     Ion BOGDAN     Henri BAUDRAND

Abstract:  The paper presents an application of the Wave Iterative Process (WIP) in the case of the study of the scattering of an electromagnetic plane wave by a system composed of two arbitrary placed metallic dipoles. The case of one dipole is studied at first, a second one being introduced into the scattering system later. Mutual influence is also taken into account, current density results are presented, and the possibilities of enlarging the number of dipoles in the scattering structure are also examined.

Keywords: Wave Concept, Iterative Process, metallic dipole, scattering

 

 

CHARACTERISATION OF SMALL CELLS NETWORKS DEPLOYMENT OPTIONS AND THEIR IMPACT UPON MACRO-CELULLAR NETWORKS

Cristian ANDRONE     Tudor PALADE

Abstract:  This paper investigates the effect of small cells networks deployment in a typical traditional macro-cellular mobile communications network. The main deployment options are presented and their impact is shown for the case of a typical residential environment. Through simulation and modeling the effect of small cells deployment is studied mainly at the macrocell users site, considering different options for the characteristic radio parameters and deployment density of the small cells. The results show which are the feasible implementation options for the small cells within macrocells, and give essential guidelines for operators when deciding to introduce small cells

Keywords: Small Cells, Femtocells, Interference, Open Access, Closed Access, Coverage

 

 

ILLUSTRATION OF AUTOMATIC DIGITAL SYNTHESIS FOR CAMELLIA-128 CIPHER ALGORITHM

Paul FARAGÓ, Thomas JACKUM, Christoph BÖHM, Maximilian HOFER

Abstract:  Advances in the integrated circuit (IC) industry have enabled the integration of millions of transistors on a single chip. In these circumstances the task of the circuit designer is ever more demanding. Recent trends in CAD tools target the complete automation of the digital design flow. This article illustrates the automatic synthesis of a digital system which implements a cipher algorithm. The Camellia-128 cipher was chosen for implementation due to its potential performance in terms of IC area, processing speed and power consumption. The digital IC is automatically synthesized up to layout level with no human intervention.

Keywords: digital design automation, CAD, cipher, Camellia

 

 

HUMAN VISUAL PERCEPTION CONCEPTS AS MECHANISMS FOR SALIENCY DETECTION

Oana Loredana BUZATU

Abstract:  : Predicting human eye fixations is a difficult task that usually involves complex knowledge about the human visual perception pathways. This paper proposes a method to detect salient locations using a psycho visual space based on color perception, perceptual decomposition of visual information in multiple processing channels and contrast sensitivity as basic concepts. Using a linear support vector machine to train a saliency detector directly from human eye fixation data, salient locations were predicted as a linear combination of features. Testing results have proved that the proposed method performs better than other state-of-the-art methods with certain common concepts.  

Keywords: visual attention, saliency, color opponency, steerable pyramids, contrast sensitivity, support vector machine

 

 

INTEGRATION OF NETWORK CODING TECHNIQUES IN FUTURE INTERNET ARCHITECTURES

Zsuzsanna Ilona KISS, Zsolt Alfred POLGAR, Gavril Ionel MEDAN, Mircea GIURGIU

Abstract:  The paper introduces several new methods and experimental results on the integration of Network Coding techniques into the architectures proposed for the future Internet. Also, there are shortly presented some of the main research initiatives proposing the design of future Internet architectures and the concepts developed. Particularly, the paper analyzes how Network Coding can be integrated into service centric and role based architectures and proposes a solution for integration of XOR based coding into the Generic Path framework. It is shown that the coded transmissions are not always beneficial and therefore adaptive activation of Network Coding is required according to the communication context and network parameters

Keywords: Future Internet, Generic Path framework, integration, network architecture, Network Coding

 

 

INVESTIGATING METHODS TO SIMULATE AND EVALUATE SIGNAL DISTRIBUTION IN ANALOG AND DIGITAL TV CABLE NETWORKS

Radu ARSINTE, Alexandru Florin ANTONE

Abstract:  The paper contains a theoretical and experimental study of transmission in analog and digital TV cable networks. The first part presents an overview of the most important concepts used in modeling of the most important components from cable network, and establish the models used in this specific research. The study is proposing in the first part to simulate, using Matlab models a TV cable network. This model is compared with different approaches, like electrical model simulation using Microcap environment. Finally, in experimental results section, the results of simulations are presented and compared with the evaluations realized by previous methods of simulation. The final goal of the research will be to validate, through cross-checking, the models written in Matlab (for theoretical study of DVB-C propagation in local -home – network) or practical purposes (CATV based data network design).

Keywords: CATV network, Matlab simulation, Microcap , Headend  

 

 

IMPROVED SPATIAL SCALABILITY FOR VIDEO COMPRESSION

Vipan KAKKAR

Abstract: Spatial scalability (layering) in MPEG is not often used due to the lack of coding efficiency and available ICs. This work presents an alternative spatial scalability schemes that have better coding efficiency, and yet are relatively easy to implement with existing building blocks. Furthermore it presents experiments that have been conducted in order to improve the coding efficiency, and enable a backwards compatible HDTV DVD system. Attempts have been made to improve the spatial scalability of MPEG-2/MPEG-4.

Keywords: Video Compression, MPEG, Motion Estimation, Spatial Scalability

 

 

LOW-COST PROTOTYPE EQUIPMENT FOR VLF RADIO WAVE MONITORING

Paul DOLEA, Vlad DASCAL, Tudor PALADE, Octavian CRISTEA

Abstract:  The paper presents a short overview of the natural phenomena that generates VLF, ELF and SLF electromagnetic waves. In order to emphasize the importance of studying these waves, the paper presents a prototype equipment used for receiving and monitoring very low frequency electromagnetic waves generated by natural and artificial sources. The functionality of the equipment is proved by monitoring, during several days, different VLF radio transmitters located at distances over 1000 km from the reception point. The data collected revealed the diurnal variations of the VLF radio wave propagation and the induced disturbances in propagation conditions during January 4th 2011 partial solar eclipse.

Keywords: radio wave propagation, ionosphere, VLF, low noise amplifier

 

 

Number 4/2011

 

AN OVERVIEW OF TODAY’S MULTIPATH ROUTING

Georgeta BOANEA     Melinda BARABAS     Virgil DOBROTA

Abstract:  The increased number of applications with strict demands regarding throughput and delay (e.g. video streaming, VoIP, video conferencing) determines the need for more efficient routing procedures in the Internet. Multipath routing is one solution that can assure a more reliable and robust transmission. This approach provides flexible load balancing and congestion avoidance by offering multiple alternative paths to a destination. This paper presents an overview of the design details of today’s multipath routing solutions, with their advantages and disadvantages.

Keywords: fast rerouting, load balancing, multipath routing, path diversity, split granularity

 

 

RESOLUTION IMPROVEMENT OF ULTRASOUND IMAGES USING DECONVOLUTION AND SUPER-RESOLUTION ALGORITHMS

Liviu-Teodor CHIRA

Abstract:  Ultrasound imaging is a wide spread technique used to view body soft tissues, like tendons, muscle or internal organs for possible problems. These images are achieved by capturing the returned acoustic waves using an ultrasonic transducer. Due to the propagation in imperfect environment, the resolution of these images has a poor quality. This is caused by different problems like waves refraction, attenuations in tissues, destructive waves, bad contacts, and so on. This paper intends to achieve a preliminary synthesis of the most important directions of study for the resolution improvement. We present two important methods for ultrasound image processing: deconvolution based and super-resolution algorithms. Some simulation results are also delivered.

Keywords: ultrasound, medical image, super-resolution, deconvolution, digital image processing.

 

 

FPGA IMPLEMENTATION OF LMS AND NLMS ADAPTIVE FILTERS FOR ACOUSTIC ECHO CANCELLATION

Ioana HOMANA, Irina MURESAN, Marina TOPA, Cristian CONTAN

Abstract:  The paper proposes a register transfer level (RTL) description of two well-known adaptive algorithms used in acoustic echo cancellation: the Least Mean Square (LMS) and Normalized Least Mean Square (NLMS). The RTL descriptions of both algorithms are based on their finite state machine (FSM) diagrams and were created in the popular VHDL language. ModelSim simulation results altogether whit plots obtained in Matlab prove the good behavior. As it was expected, the performance of the NLMS algorithm is superior, compared to the LMS algorithm, in term of Mean Square Error (MSE).

Keywords: VHDL description, adaptive filters, LMS algorithm, NLMS algorithm

 

 

FINGERPRINT IMAGE ENHANCEMENT USING WAVELET TRANSFORM AND GABOR FILTERING

Vipan KAKKAR, Abhishek SHARMA, T.K. MANGALAM, Pallavi KAR

Abstract:  Automatic Fingerprint Identification System (AFIS) have become the most widely and popular technology in rapidly growing bio-identification applications. Fingerprint identification consists of various stages viz. image acquisition, enhancement, feature extraction and matching. The performance of a fingerprint recognition system highly relies on the quality of the fingerprint images. The enhancement is an essential step required to improve the quality of the fingerprint image. In this paper, we propose a enhancement method based on gabor filtering in wavelet domain. Gabor filter is so chosen because it has both frequency-selective and orientation-selective properties and has optimal resolution in both spatial and frequency domain. Filtering is done on the images results from wavelet decomposition and finally, the image is reconstructed to get the enhanced image. Experiments are conducted on 500dpi resolution fingerprint images commercially available from FVC2002 fingerprint database

Keywords: Fingerprint Identification, Image Enhancement, Gabor Filter, Wavelet Transform

 

 

STUDY OF EFFECTS OF THE SHORT TIME FOURIER TRANSFORM CONFIGURATION ON EEG SPECTRAL ESTIMATES

Nicolae Cristian PAMPU

Abstract:  EEG signals recorded from scalp contain useful information about the activity of a large number of neurons. Signal processing is needed to extract this information from the EEG signal. Here we study the effects of configurations of Short Time Fourier Transform (STFT) to determine how the parameters of STFT affect spectral estimations of the mean and relative power in beta and gamma frequency bands of the EEG signal. A statistic analysis was performed showing the effects of several window types and window lengths. The estimation of power in a specific frequency band is affected by the configuration of the STFT.

Keywords: Electroencephalogram (EEG), Short Time Fourier Transform (STFT), EEG signal processing

 

 

STUDY OF THE DECODING COMPLEXITY FOR RATELESS ERASURE CODES

Anghel BOTOŞ, Vasile BOTA, Aurel VLAICU

Abstract:  Over the Internet, bit errors within the data packets translate into packet losses at the higher layers of the OSI model, yielding a packet erasure channel. Modern erasure correcting codes promise to offer a very simple and efficient solution to data transfers over these channels, opening up also other interesting applications. Amongst them one can enumerate reliable large scale content distribution, high quality real-time data transfers, distributed storage and others. These considerations make the study of such codes an actual and interesting topic. Most of the analyses presented in literature focus on the evaluation of the performances ensured by these codes. This paper presents an evaluation of the decoding complexity of some rateless erasure codes, which is another relevant issue that affects the applicability of these codes. The complexities of several decoding methods are evaluated using several metrics which reflect different operations performed during the decoding. All results used in the evaluation are based on simulations

Keywords: rateless erasure codes, computational complexity

 

 

ASPECTS OF A LOW-COST GROUND STATION DEVELOPMENT FOR GENSO NETWORK

Vlad DASCAL, Paul DOLEA, Tudor PALADE, Octavian CRISTEA

Abstract:  This paper presents the development and setup of a GENSO ground station at the Technical University of Cluj-Napoca. The ground station will be capable of automatic tracking of selected LEO satellites by using steerable high gain antennas. The ground station will be equipped with a full-duplex VHF/UHF transceiver with SSB, CW and FM modulation capabilities and with a TNC AX.25 protocol compatible, that offers data rates of 9600 bps FSK and 1200 bps AFSK for digital satellite communication. The architecture is based on the design heritage of the ground station built in support of the future Romanian Goliat mission. Tests were completed with good results and demonstrate the technical feasibility of the platform based on link budget calculations. The ground station will represent the Romanian contribution into the worldwide GENSO network and it will also act as a test-bed for the GEOID/HumSAT system.

Keywords: Nanosatellite, Low Earth Orbit, GENSO network, ground station, Cubesat

 

 

A MODEL OF A DIPOLE ANTENNA IN A 3-D FDTD SPACE

Ioana SĂRĂCUŢ, Victor POPESCU

Abstract:  In this paper a dipole antenna with a gap is modeled in a 3-D Finite–Difference Time-Domain coordinate space surrounded by Perfectly Matched Layer (PML). Unlike the analytical study, where the sinusoidal distribution of the current is imposed, here the propagation of direct and reflected waves of current and potential was modeled, so distribution along the antenna resulted from simulations. The simulation results include the radiation pattern, the transitory state of the field and the effect of the conductor losses

Keywords: dipole antenna, Finite-Difference Time-Domain, Perfectly Matched Layer, Matlab model

 

 

DEFECT DETECTION AND RESTORATION OF CULTURAL HERITAGE IMAGES

Mihaela CISLARIU, Mihaela GORDAN, Aurel VLAICU, Camelia FLOREA,  Silvia CIUNGU SUTEU

Abstract: One of the major problems of the old artworks is their degradation due to aging. As a result, the digitized artworks images exhibit a series of defects. Whereas scientific methods were applied to the analysis and restoration of the priceless artworks for many decades, over recent years there has been an encouragement for the development of virtual artworks restoration tools, many of them using image processing techniques. In this paper we present a series of tools for defect detection and virtual restoration of digitized artwork images, and illustrate their application of digitized wood paintings. These tools are integrated in user-friendly semi-automatic software applications. The novel algorithms proposed and integrated in our virtual artwork restoration application include: a machine learning based small defect detection, combined with the vector median filter for the small defects removal; a fuzzy image inpainting method for large defect removal (assuming the defect area was manually selected). The results achieved with the proposed software application are presented, for some wood painted icons, showing the good performance of the proposed solution and its suitability for virtual restoration of some digitized artworks

Keywords: defect detection, SVM, RGB color space

 

 

THE IMPLEMENTATION OF SCHROEDER REVERBERATOR ON AN FPGA PLATFORM USING XILINX SYSTEM GENERATOR

Corina BOTA, Botond Sandor KIREI, Albert FAZAKAS, Marina TOPA

Abstract:  The paper presents a Simulink model based FPGA implementation method of the Schroeder reverberator. The Simulink model was created with a Xilinx System Generator toolbox, which aids digital circuit synthesis for FPGA platforms. The artificial reverberator can be configured to simulate the acoustics of different enclosures (ordinary room or concert hall), while device utilization on the target FPGA is low and less than 3% of a XC5VLX110T FPGA device slices are occupied by the designed system. The reverberator can model up to 2s reverberation time, which is a typical value of a concert hall

Keywords: reverberations, audio signal processing, real-time processing, FPGA, Schroeder reverberator

 

 

Number 3/2011

 

 

FEASIBILITY OF ULTRA LOW ENERGY DEVICES AND APPLICATIONS

Vipan KAKKAR

Abstract:  In this paper the results of an extensive literature study on Ultra-Low-Power (ULP) electronics is presented. It discusses an emerging application area, which is characterised by very strong power requirements, called ULP electronics. It aims to evaluate possible applications to derive the requirements that emerging trend in circuits must meet and to recognise as far as possible the challenges, which have to be faced. At first few selected applications which would at most benefit from an ULP design approach, are presented as example.  Finally few examples of realized circuits in the market as well as in the literature are given.

Keywords: Ultra-low-power electronics, low-power electronics, biomedical electronics, wireless sensor network

 

 

DISTRIBUTED BENDING MEASUREMENT SENSOR

Ramona V. GALATUS, Lorant SZOLGA, Emil VOICULESCU

Abstract:  The paper introduces an improved bendable distributed optical fiber used into an all-optical power-up system. The contribution highlights the high sensibility of the large mode area (LMA) fiber, designed with the most powerful higher-order mode rejection. The considered LMA were used in conjunction with MOFA power-up configuration scheme.  Setup has a  master oscillator fiber amplifier (MOFA) configuration for large scaling of the output power, meant for a linear sensing accuracy of the order of microns. A power variation of the fundamental mode was measured in order to discern the proportional rate for bending radius. The signal was 1550nm, typical to assure compatibility with telecommunication links. The performance is optimized by varying the bending radius, index/ doping profile, the LMA fiber custom profile and core diameter

Keywords: Fiber Optic Sensor, Bending Measurement, EDFA(Erbium Doped Fiber Amplifier), LMA, Highly Doped Fiber, MOFA

 

 

GENETIC ALGORITHM FOR TRANSITIONS SCHEDULING GUIDANCE OF TRAINS

Maria-Magdalena SANTA     Octavian CUIBUS   Tiberiu LETIA

Abstract:  The railway traffic system is characterized as large and dynamic with uncertain properties related to resource loading, train arrivals and failures. The purpose of this paper is to control system online in order to guarantee that all the trains behave according to their timelines. The solutions are found with distributed expert systems. The control signals are implemented and verified using temporal Rule Nets. Due to the large number of variants involved, extensive check of all possible durations and waiting times on a resource is impossible, therefore an evolutionary approach (genetic algorithm) must be used. The results obtained through simulations show that the proposed distributed controllers solve the control problems and can be used for large scale implementation.

Keywords: distributed expert systems, genetic algorithm, temporal rule nets and railway applications

 

 

3D RECONSTRUCTION AND VOLUME COMPUTING IN MEDICAL IMAGING

Ligia-Domnica CHIOREAN, Teodora SZASZ, Mircea-Florin VAIDA, Alin VOINA

Abstract:  Medical imaging domain is a field of interest which concentrates great efforts to offer software tools for the assisted diagnosis. Segmentation, 3D reconstruction and visualization are techniques that allow physicians to observe possible pathological structure inside of the human body. Computing the volume of such a structure offers critical information in the evaluation of the disease gravity. In this paper we present a method for 3D reconstruction of the pathological zone and propose a method for volume computing. We consider this as a start for developing a complex software tool for Deep Brain Stimulation procedure in the neurosurgery domain.

Keywords: volume/ surface rendering, multi-planar reformatting, DICOM files, segmentation

 

 

DIGITAL TECHNOLOGY IMPLEMENTATION OF PEAK CURRENT CONTROL METHOD WITH PID COMPENSATOR APPLIED TO BUCK CONVERTER

Octavian BOTEZ  Mihai LUCANU  Ovidiu URSARU  Cristian AGHION

Abstract:  Lately, digital control technology has advanced greatly in the field of power electronics[14], enabling implementation of more and more common method to control electronic converters. This paper presents the modeling and the simulation of peak current control method with PID compensator, applied to a synchronous buck converter with digital control, and its practical implementation. For simulation, the C language source code was designed for the perturbations compensating function, the duty cycle calculation applied to PWM generator, and variable current reference.

Keywords: : peak current, PID compensator, synchronous buck, digital technology

 

 

SIMULATION OF STOCHASTIC PROCESSES IN FINANCIAL MODELING

Mircea Cristian GHERMAN, Monica BORDA

Abstract:  This paper discusses theoretical properties, shows the performance and presents some extensions of techniques used for simulation of stochastic differential equation applied on the financial data modeling. There are realized comparisons of different approaches for discretization schemes and their performances from the simulation convergence point of view. This study shows that, depending on the applicability of stochastic modeling to various financial data, the evolution of asset price over the time can be characterized by different processes accordingly with their dynamics.

Keywords: stochastic differential equations, simulations schemes, jump diffusion, convergence schemes

 

 

GENDER AND AGE ESTIMATION BASED ON FACIAL IMAGES

Hlaing Htake Khaung TIN

Abstract:  In this paper, a fast and efficient gender and age estimation system based on facial images is developed. There are many methods have been proposed in the literature for the age estimation and gender classification. However, all of them have still disadvantage such as not complete reflection about face structure, face texture. This technique applies to both face alignment and recognition and significantly improves three aspects. First, we introduce shape description for face model. Second, the feature extraction phase, two geometric features are evaluated as the ratios of the distances between eyes, noses, and mouths. Finally, we classified the gender and age based on the association of two methods: geometric feature based method and Principal Component Analysis (PCA) method for improving the efficiency of facial feature extraction stage. The face database contains the 13 individual groups. Within a given database, all weight vectors of the persons within the same age group are averaged together. A range of an age estimation result is 15 to 70 years old, and divided into 13 classes with 5 years old range.  Experimental results show that better gender classification and age estimation

Keywords: gender classification, age estimation, principal component analysis, face recognition, feature extraction

 

 

Number 2/2011

 

 

SPECTROGRAM BASED MUSICAL INSTRUMENT IDENTIFICATION USING HIDDEN MARKOV MODEL (HMM) FOR POLYPHONIC SOUND SIGNALS

Daulappa G. BHALKE, C. B. RAMA RAO, D. S. BORMANE, Manisha VIBHUTE

Abstract:  Spectrogram is generated from the instrumental music, which is used to calculate the spectral, temporal & modulation features. To detect musical instruments from polyphonic music, 23 features are selected. The feature vector is generated using 12 specific features. Hidden Markov model (HMM) is used to calculate the conditional instrument existence probability. In this work, ten musical instruments from wind and string categories are used for identification. The musical instrument is recognized using HMM algorithms: Forward, Backward, Posterior decoding & Viterbi algorithm. Identification result is 91% for monophonic & 87% for polyphonic musical notes.

Keywords: Spectrogram, Feature vector, HMM, Musical Instrument Identification result

 

 

SHARING THE KNOWLEDGE: SEMANTIC MEDIAWIKI

Cornelia Flavia M. VEJA, Mircea – Florin VAIDA, Gregor HAGEDORN

Abstract:  The information with the purpose of documentation, media sharing, learning, and entertainment accumulated in wikis is huge. The main problem in wikis is that the information is produced from humans to humans, not for machines. Wiki’s information is a semi-closed world and the use and re-use of wiki’s information by external non-humans agents are cumbersome tasks. Stepping further, to unstructured data but strongly connected information to structured data and annotated information is brought by adopting Semantic technologies into wikis. This paper presents a survey art and comparative study of Semantic Wikis, with the emphasis on Semantic Media Wiki model

Keywords: MediaWiki, Semantic MediaWiki, Semantic Web, Semantic wiki, Social Software, Semantic Social Software, wiki system.

 

 

REMOTE MONITORING OF THE INTELLIGENT BUILDINGS PARAMETERS

Nicolae MURESAN, Bogdan ORZA, Aurel VLAICU

Abstract:  Remote monitoring of the parameters of a building requires reading/writing the values of the variables provided by networks of smart devices (sensors, actuators and controllers), that control these parameters. A solution may be the creation and optimization of a web interface that can be accessed from the Internet via a web server, providing IP connectivity and other web capabilities. Networks can also be monitored through the 220V AC network by using transceivers. Various services required in buildings can be remotely monitored, the energy management can be improved by making a more efficient use of the electricity and of the heat consumption with the aim of reducing the maintenance cost. Utilities companies (water, gas, electricity, etc.) are also becoming more interested in remote monitoring of customers' consumption and are trying to integrate some of the so called "advanced metering systems” (which contain smart meters networks). Remote monitoring of utilities, as well as monitoring building parameters, requires read/write of the network variables values of smart meters that operate with customer utility values [15], [16], [26]. Our paper presents the principles of remotely monitoring the parameters of the buildings, together with the most commonly used norms in the field and also an example of an application for remote monitoring several LonWork control networks.

Keywords: LonWorks, RNI, Router IP-852, IP Training Center, drawing LonMaker, server i.LON, X-10, PLC

 

 

HARDWARE IMPLEMENTATION OF DIVERSITY SCHEME FOR MIMO COMMUNICATION

Angela DARIE, Ion BOGDAN

Abstract:  Because of the tremendous growth of wireless communication and the demand for faster communication, new applications have developed such as broadband wireless Internet access. To cope this demand for increased capacity, multiple antennas can be used for improving the performance of wireless communication systems. The aim of this paper is to implement a simple multi-antenna scheme, a 2x1 Alamouti code, on a Xilinx FPGA connected via UART to an Iris mote. Our focus is to make a practical testing for MIMO system within indoor environment using external peripherals of Iris mote and communication protocols. To accomplish this, the Iris platform has to be configured to run over I2C to the class Spartan 3E board, and the Spartan’s UART port is utilized to issue Iris radio communication stack.

Keywords: FPGA, MIMO, Iris mote, radio communication.

 

 

AN ADAPTIVE DIGITAL COMPENSATION DESIGN FOR BUCK CONVERTER TOPOLOGY

Radu ETZ, Dorin PETREUS

Abstract:  This paper presents a digital type III compensator that needs no calcu