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 |
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 |
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 |
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, |
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
|
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 |
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 |
|
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, |
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 |
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, |
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, |
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, |
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 |
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 |
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 |
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, |
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, |
Number 2/2017
ENHANCED
INTERACTIVITY IN VIRTUAL |
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 |
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 |
|
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 |
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 |
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 |
|
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), 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 |
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 |
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: |
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 |
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 – |
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 |
Keywords: |
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, |
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 |
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: |
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 |
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 |
Keywords: |
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: |
Victor-Eugen SALCA, Roxana-Dorina MOLDOVAN, Bogdan ORZA, Aurel VLAICU |
Abstract:
The |
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 |
D. POPA, K. BOUDAOUD, M. CREMENE, M. BORDA |
Abstract: 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: |
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 |
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. |
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 |
MIPIOS – MEDICAL IMAGE PROCESSING
APPLICATION ORIENTED FOR |
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 ( |
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 |
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 |
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 |
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 |