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Articles 12961 - 12990 of 25595

Full-Text Articles in Computer Engineering

Consistency-Based Trust Management In P2p Networks, Yasi̇n Şahi̇n, Ahmet Burak Can Jan 2018

Consistency-Based Trust Management In P2p Networks, Yasi̇n Şahi̇n, Ahmet Burak Can

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting malicious peers is a challenging task in peer-to-peer networks due to their decentralized structure and lack of central authority. Trust models can help identify malicious peers by maintaining information about peer relations and interactions. Keeping information about trust relations helps to reduce risks when providing or using services. This paper introduces two consistency concepts in trust management. Feedback consistency is used to evaluate how consistent feedback is with respect to past feedbacks. On the other side, peer consistency measures consistency of a peer's past feedbacks. These metrics help to reduce malicious interactions and increase successful downloads. Furthermore, the model …

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Presentation Of A Multilayer Nanosensor For Gas Detection By Palladium-Membrane With Emphasis On Hydrogen Gas, Ali Mohammad Noorian, Mahdi Sadeghi, Hassan Rasooli Saghai Jan 2018

Presentation Of A Multilayer Nanosensor For Gas Detection By Palladium-Membrane With Emphasis On Hydrogen Gas, Ali Mohammad Noorian, Mahdi Sadeghi, Hassan Rasooli Saghai

Turkish Journal of Electrical Engineering and Computer Sciences

Hydrogen gas sensors, based on palladium membranes, have considerable applications in areas such as industry, aerospace, and green energy monitoring. In this paper, we propose a surface plasmon resonance nanosensor, in which the main metal sensor is taken to be gold with a thin nanolayer of palladium membrane. The reason we chose palladium is its exceptional property of having high permittivity to hydrogen penetration. In this paper, formation of palladium hydride (PdH$_{x}$, where x = H / Pd) is achieved and simulation is provided using Materials Studio software. Based on an intermediate assumption, a semiconductor gold composite layer is used …

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Indoor Localization Of Wireless Emitter Using Direct Position Determination And Particle Swarm Optimization, Saeid Hassanhosseini, Mohammad Reza Taban, Jamshid Abouei Jan 2018

Indoor Localization Of Wireless Emitter Using Direct Position Determination And Particle Swarm Optimization, Saeid Hassanhosseini, Mohammad Reza Taban, Jamshid Abouei

Turkish Journal of Electrical Engineering and Computer Sciences

Many methods are introduced to accomplish determining the position of emitters with respect to known-position receivers in indoor localizations. Among them, the direct position determination (DPD) approach advocates using the received signals by all the base stations together in order to estimate the locations in a single step. However, DPD is not very accurate due to the use of a gridding area, the effect of noise, and the multipath phenomenon. In order to improve the DPD performance, we derive an analytic model based on weighted least square estimation that uses simultaneously the effect of delay, Doppler, attenuation, and angle of …

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Brain-Computer Interface: Controlling A Robotic Arm Using Facial Expressions, Humaira Nisar, Hong-Way Khow, Kim Ho Yeap Jan 2018

Brain-Computer Interface: Controlling A Robotic Arm Using Facial Expressions, Humaira Nisar, Hong-Way Khow, Kim Ho Yeap

Turkish Journal of Electrical Engineering and Computer Sciences

The aim of this paper is to develop a brain-computer interface (BCI) system that can control a robotic arm using EEG signals generated by facial expressions. The EEG signals are acquired using a neurosignal acquisition headset. The robotic arm consists of a 3-D printed prosthetic hand that is attached to a forearm and elbow made of craft wood. The arm is designed to make four moves. Each move is controlled by one facial expression. Hence, four different EEG signals are used in this work. The performance of the BCI robotic arm is evaluated by testing it on 10 subjects. Initially …

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Highly Accurate And Sensitive Short Read Aligner, Mehmet Yağmur Gök, Sezer Gören Uğurdağ, Cem Ünsalan, Mahmut Şami̇l Sağiroğlu Jan 2018

Highly Accurate And Sensitive Short Read Aligner, Mehmet Yağmur Gök, Sezer Gören Uğurdağ, Cem Ünsalan, Mahmut Şami̇l Sağiroğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Next-generation sequencing generates large numbers of short reads from DNA. This makes it difficult to process and store. Therefore, efficient sequence alignment and mapping techniques are needed in bioinformatics. Alignment and mapping are the basic steps involved in genetic data analysis. The Smith-Waterman (SW) algorithm, a well-known dynamic programming algorithm, is often used for this purpose. In this work, we propose to utilize Phred quality scores in Gotoh's affine gap model to increase the accuracy and sensitivity of the SW algorithm. Hardware platforms such as FPGAs and GPUs are commonly used to solve computationally expensive problems. In this work, a …

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Classification Of Surface Electromyogram Signals Based On Directed Acyclic Graphs And Support Vector Machines, Xinhui Hu, Jiangming Kan, Wenbin Li Jan 2018

Classification Of Surface Electromyogram Signals Based On Directed Acyclic Graphs And Support Vector Machines, Xinhui Hu, Jiangming Kan, Wenbin Li

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a novel classification approach for surface electromyogram (sEMG) signals. The proposed classification approach involves two steps: (1) feature extraction from an sEMG, in which a 7-dimensional feature vector is extracted from 27 types of features of the sEMG by linear discriminant analysis (LDA), and (2) a novel classifier, DAGSVMerr, based on a directed acyclic graph (DAG) and support vector machine (SVM), in which a separability measure function based on erroneous recognition rates (ERRs) is defined to determine the initial operation list. The proposed approach takes advantage of the feedback idea to improve the performance of the classification. …

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Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer Jan 2018

Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a new speed planning method is developed for semiautonomous systems by improving our previous fuzzy logic-based approach. In this proposed method, an extended risk factor is calculated on top of the classical risk factor, using environmental factors and the user's speed reference. We obtain safer speed values in critical scenarios with this new extended risk factor definition. Another improvement comes from the design of the semiautonomous architecture. Instead of the fully autonomous solution of the previous work, we calculate the final speed reference by combining the risk factor-based speed value and user's speed reference, which provides a …

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A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli Jan 2018

A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli

Turkish Journal of Electrical Engineering and Computer Sciences

This article presents a novel method for estimating 19 parameters of RGB and depth camera calibration simultaneously. The proposed algorithm is based on applying metaheuristic methods for deep optimization and estimating all parameters of intrinsic, extrinsic, and lens distortions of cameras. This paper compares four metaheuristic algorithms, i.e. a genetic algorithm, particle swarm optimization, the colonial competitive algorithm, and the shuffled frog leaping algorithm, with a numerical algorithm called singular value decomposition. The proposed method does not need the initial estimation for optimization and it can avoid being trapped in local minima. By using nondirect estimation, we achieve middle computing …

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Insider Threat Detection Of Adaptive Optimization Dbn For Behavior Logs, Jiange Zhang, Yue Chen, Ankang Ju Jan 2018

Insider Threat Detection Of Adaptive Optimization Dbn For Behavior Logs, Jiange Zhang, Yue Chen, Ankang Ju

Turkish Journal of Electrical Engineering and Computer Sciences

For the problems of insider threats such as great harm due to damage and resultant loss, difficulty in extracting abnormal behavior features of insiders because of transparency and concealment, and low detection rate, an insider threat detection model using adaptive optimization DBN for behavior logs is put forward. The model carries out deep learning based on the integrated and normalized behavior logs to fully learn normal and abnormal behavior features of insiders to form optimal representations of the behavior features of insiders. The experimental results show that the multiple-hidden-layer deep learning model can fully learn the behavior features of insiders, …

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Upper Envelope Detection Of Ecg Signals For Baseline Wander Correction: A Pilot Study, Mohammed Assam Ouali, Mouna Ghanai, Kheireddine Chafaa Jan 2018

Upper Envelope Detection Of Ecg Signals For Baseline Wander Correction: A Pilot Study, Mohammed Assam Ouali, Mouna Ghanai, Kheireddine Chafaa

Turkish Journal of Electrical Engineering and Computer Sciences

Baseline wander (BW) is a common low frequency artifact in electrocardiogram (ECG) signals. The prime cause from which BW arises is the patient's breathing and movement. To facilitate reliable visual interpretation of the ECG and to discern particular patterns in the ECG signal, BW needs to be removed. In this paper, a novel BW removal method is presented. The hypothesis is based on the observation that ECG signal variation covaries with its BW. As such, the P, Q, R, S, and T peaks will follow the baseline drift. On this basis, the following proposition is true: a reliable approximation of …

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An Efficient Technique Based On Firefly Algorithm For Pilot Design Process In Ofdm-Idma Systems, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r Jan 2018

An Efficient Technique Based On Firefly Algorithm For Pilot Design Process In Ofdm-Idma Systems, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Accurate placement of pilot tones has been a crucial task in multicarrier transmission technologies since there is a strong relation between pilot positions and channel estimation performance. Therefore, the firefly algorithm (FA) is proposed for achieving the optimal pilot distribution by optimizing the pilot positions in order to minimize the estimation errors of the least squares algorithm employed in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. According to the simulation results, our proposed FA-based pilot optimizer provides a great performance increase in OFDM-IDMA systems by obtaining the most appropriate pilot distribution pattern among the considered pilot placement strategies. …

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Relation Extraction Via One-Shot Dependency Parsing On Intersentential, Higher-Order, And Nested Relations, Gözde Gül Şahi̇n, Erdem Emekli̇gi̇l, Seçi̇l Arslan, Onur Ağin, Gülşen Eryi̇ği̇t Jan 2018

Relation Extraction Via One-Shot Dependency Parsing On Intersentential, Higher-Order, And Nested Relations, Gözde Gül Şahi̇n, Erdem Emekli̇gi̇l, Seçi̇l Arslan, Onur Ağin, Gülşen Eryi̇ği̇t

Turkish Journal of Electrical Engineering and Computer Sciences

Despite the emergence of digitalization, people still interact with institutions via traditional means such as submitting free formatted petitions, orders, or applications. These noisy documents generally consist of complex relations that are nested, higher-order, and intersentential. Most of the current approaches address extraction of only sentence-level and binary relations from grammatically correct text and generally require high-level linguistic features coming from preprocessors such as a parts-of-speech tagger, chunker, or syntactic parser. In this article, we focus on extracting complex relations in order to automate the task of understanding user intentions. We propose a novel language-agnostic and noise-immune approach that does …

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Schedulability Test For Ima Systems Based On Mixed Integer Linear Programming Formulation, Yukai Hao, Ming Mu, Xiaodi Dai, Xiangdong Li Jan 2018

Schedulability Test For Ima Systems Based On Mixed Integer Linear Programming Formulation, Yukai Hao, Ming Mu, Xiaodi Dai, Xiangdong Li

Turkish Journal of Electrical Engineering and Computer Sciences

Integrated modular avionics (IMA) architecture is widely adopted for the design of modern aircraft. It simplifies the system development process and improves the system security and reliability. In IMA systems, avionics applications are packed into various partitions, and integrated into a standard computing platform. How to determine the schedulability of systems is one of the key problems. In this paper, using the characters of avionics systems, a partition model with a strict period is built, and constraints in space, time, and communication are analyzed. Based on the mixed integer linear programming formulation, a solution to determine the schedulability of IMA …

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Improved Iir-Type Fractional Order Digital Integrators Using Cat Swarm Optimization, Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal Jan 2018

Improved Iir-Type Fractional Order Digital Integrators Using Cat Swarm Optimization, Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal

Turkish Journal of Electrical Engineering and Computer Sciences

Design of wideband infinite impulse response (IIR) digital fractional order integrators (DFOIs) based on a bio-inspired metaheuristic optimization approach called the cat swarm optimization (CSO) algorithm is presented in this paper. To investigate the efficiency of the proposed approach, the CSO-based DFOIs are evaluated against those of the approximations designed using real-coded genetic algorithm (RGA), standard particle swarm optimization (PSO), and differential evolution (DE) by different magnitude and phase response error metrics. Simulation results reveal the better frequency response of the CSO-based DFOIs in comparison with the competing designs. Both parametric and nonparametric statistical hypothesis tests validate the performance consistency …

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Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes Jan 2018

Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new realization for a CMOS four-quadrant analogue multiplier. The proposed circuit is composed of three second generation current conveyor circuits (CCII), two NMOS transistors operating in the linear region, and four passive resistances. It can be operated in current mode and voltage mode without changing the circuit topology. The simulations results of the proposed mixed mode multiplier are verified by TSPICE simulator based on the BSIM3v3 transistor model for TSMC 0.18 $\mu $m CMOS process available from MOSIS at 25 $^{\circ}$C with $\pm $0.8 V supply voltage. Through the use of resistive compensation with different passive …

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Investigation On Optimal Parameter Selection For Llc Half-Bridge Resonant Converter Based On Fha, Jianguang Ma, Xueye Wei, Liang Hu, Wenting Jia Jan 2018

Investigation On Optimal Parameter Selection For Llc Half-Bridge Resonant Converter Based On Fha, Jianguang Ma, Xueye Wei, Liang Hu, Wenting Jia

Turkish Journal of Electrical Engineering and Computer Sciences

The LLC half-bridge resonant converter has attracted extensive research attention due to its advantages of achieving high efficiency and high power density. However, the resonant process is more complicated, where the main difficulty is to precisely calculate resonant parameters. In this paper, the fundamental harmonic approximation (FHA) method is employed to analyze the resonant process of the converter. In particular, the working mode and the mathematical model of the LLC half-bridge resonant converter are established, where a new method is proposed to determine the operating frequency of LLC based on voltage gain and transformer loss. Based on the proposed method, …

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Nonlinear Analysis Of Hybrid Phase-Controlled Systems In Z-Domain With Convex Lmi Searches, Nur Syazreen Ahmad, Pei Ni Goh Jan 2018

Nonlinear Analysis Of Hybrid Phase-Controlled Systems In Z-Domain With Convex Lmi Searches, Nur Syazreen Ahmad, Pei Ni Goh

Turkish Journal of Electrical Engineering and Computer Sciences

Phase-controlled systems such as phase-locked loops (PLLs) have been used in numerous applications ranging from data communications to speed motor control. The hybrid case where only the phase detector is digital while others are analog has advantages over the classical PLLs in the sense that it provides a wider locking range and is more suitable when the input and output signals come in digital waveforms. Although such systems are inherently nonlinear due to the phase detector's characteristics, the nonlinearity is often bypassed in order to ease the analysis and design methods. This, however, will give erroneous results when the phase …

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Optimizing Fpga-Based Cnn Accelerator For Energy Efficiency With An Extended Roofline Model, Sayed Omid Ayat, Mohamed Khalil-Hani, Ab Al-Hadi Ab Rahman Jan 2018

Optimizing Fpga-Based Cnn Accelerator For Energy Efficiency With An Extended Roofline Model, Sayed Omid Ayat, Mohamed Khalil-Hani, Ab Al-Hadi Ab Rahman

Turkish Journal of Electrical Engineering and Computer Sciences

In recent years, the convolutional neural network (CNN) has found wide acceptance in solving practical computer vision and image recognition problems. Also recently, due to its flexibility, faster development time, and energy efficiency, the field-programmable gate array (FPGA) has become an attractive solution to exploit the inherent parallelism in the feedforward process of the CNN. However, to meet the demands for high accuracy of today's practical recognition applications that typically have massive datasets, the sizes of CNNs have to be larger and deeper. Enlargement of the CNN aggravates the problem of off-chip memory bottleneck in the FPGA platform since there …

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Concurrency Control Algorithms For Deduplicated Cloud Storage, Prabavathy Balasundaram, Chitra Babu Jan 2018

Concurrency Control Algorithms For Deduplicated Cloud Storage, Prabavathy Balasundaram, Chitra Babu

Turkish Journal of Electrical Engineering and Computer Sciences

Deduplication of data is essential to effectively use cloud storage. As the metadata in deduplicated cloud storage are shared across multiple users, concurrent updates may result in inconsistencies. A coarse-grained locking strategy that has been proposed earlier to overcome this difficulty is not suited for inline deduplication owing to poor performance. In the present work, a fine-grained locking strategy that overcomes this shortcoming is proposed. A metadata structure along with a set of concurrent control mechanisms to accomplish this is presented. This strategy is shown to improve the throughput by as much as 60% with only marginal lock overhead.

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An Adaptive Fault Diagnosis Approach Using Pipeline Implementation For Railway Inspection, Yunus Santur, Mehmet Karaköse, Erhan Akin Jan 2018

An Adaptive Fault Diagnosis Approach Using Pipeline Implementation For Railway Inspection, Yunus Santur, Mehmet Karaköse, Erhan Akin

Turkish Journal of Electrical Engineering and Computer Sciences

Railway tracks must be periodically inspected. This study proposes a new approach for eliminating two major disadvantages experienced during rail inspection applications performed via computer vision. The first is the blurring effect on images, resulting from physical vibration during movement on the rail lines. This effect significantly reduces the high accuracy rate expected from anomaly inspection algorithms. The second disadvantage is the need to operate in real time. This study presents a new three-stage computer vision method approach that eliminates both disadvantages. First, a three-stage pipeline architecture is implemented and IMU-assisted blur detection is performed on images taken from the …

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High-Speed Switched Reluctance Machine: Natural Frequency Calculation And Acoustic Noise Prediction, Yusuf Yaşa, Yilmaz Sözer, Muhammet Gari̇p Jan 2018

High-Speed Switched Reluctance Machine: Natural Frequency Calculation And Acoustic Noise Prediction, Yusuf Yaşa, Yilmaz Sözer, Muhammet Gari̇p

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, an analytical model is proposed for natural frequency calculation and acoustic noise prediction for high speed switched reluctance machines. The developed natural frequency model results are compared with the mechanical finite element analysis results in terms of 6 different mode shapes that cause the majority of the acoustic noise in switched reluctance machines. The results show that the analytical results are consistent with the numerical method results with minimum 90% matching. Based on the natural frequency calculation model, a new acoustic noise prediction method is developed that only needs a radial force waveform as an input emerging …

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Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene Jan 2018

Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, an analysis of the interaction between the switching ripple filter components of a matrix converter-based drive and the components of a 0.4-kV electrical grid is presented. Based on the analysis, we propose a simplification of the conventional LCR filter. An inductance of the power grid transformer windings and an impedance of the power distribution lines could be considered as a filter component. Stemming from the above, a simplification of the filter topology is proposed. Only the capacitance component is necessary for realizing a conventional LCR filter. The effectiveness of this simplification is demonstrated through calculations, simulations performed …

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Design And Comparison Of Embedded Air Coils For Small Satellites, Anwar Ali, Zeeshan Mukhtar, Khalil Ullah, Leonardo Reyneri Jan 2018

Design And Comparison Of Embedded Air Coils For Small Satellites, Anwar Ali, Zeeshan Mukhtar, Khalil Ullah, Leonardo Reyneri

Turkish Journal of Electrical Engineering and Computer Sciences

The paper discusses the comparison of different shapes of embedded air coils for the attitude control of small satellites. Various systems are available in the market for the attitude control of small satellites such as reaction wheels, permanent magnets, magnetic rods, and thrusters. The available systems have large size, heavier weight, and relatively higher power consumption. A miniaturized system with less power consumption and heat dissipation is required that can provide the anticipated torque. This paper focuses on the design and comparison of square and circular air coils embedded in four internal layers (i.e. 2nd, 3rd, 4th, and 5th) of …

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Electronically Tunable Grounded/Floating Inductance Simulators Using Z-Copy Cfccc, Alok Kumar Singh, Pragati Kumar, Raj Senani Jan 2018

Electronically Tunable Grounded/Floating Inductance Simulators Using Z-Copy Cfccc, Alok Kumar Singh, Pragati Kumar, Raj Senani

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, new electronically tunable grounded and floating inductance simulators employing a Z-copy current follower current controlled conveyor (CFCCC) and one grounded capacitor have been proposed and their workability has been demonstrated by PSPICE simulations in 0.18-$\mu $m TSMC CMOS technology.

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Prediction Of The Mass Unbalance Of A Variable Speed Induction Motor By Stator Current Multiple Approaches, Abdelkarim Bouras, Slimane Bouras, Samir Kerfali Jan 2018

Prediction Of The Mass Unbalance Of A Variable Speed Induction Motor By Stator Current Multiple Approaches, Abdelkarim Bouras, Slimane Bouras, Samir Kerfali

Turkish Journal of Electrical Engineering and Computer Sciences

Generally, rotor mass unbalance is one of the most probable causes of the majority of degradations suffered by electric drives in an industrial environment (current pumping, rolling problem, misalignment, etc.), especially those with high power and variable speed. This document is an experimental contribution to the reliable detection of mass unbalance and changes in its severity if, by necessity of service, the system is subjected to a speed variation. The implementation of the technical orbits Park, strengthened by the application of the Fourier transforms (FFT, STFT) to the Park vector of the stator current allowed the identification of the unbalance …

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Unit Commitment Considering The Emergency Demand Response Programs And Interruptible/Curtailable Loads, Javad Nikoukar Jan 2018

Unit Commitment Considering The Emergency Demand Response Programs And Interruptible/Curtailable Loads, Javad Nikoukar

Turkish Journal of Electrical Engineering and Computer Sciences

After restructuring the power systems, demand response programs form the main part of consumption management programs. This is because these programs are by nature particularly suitable for adapting to the new structure in power system management. These programs are considered as a suitable solution for solving some problems in power system restructuring. Unit commitment (UC) programs are used for power production with minimum cost. In this paper, after presenting an overview of demand response methods, a mechanism is proposed for simultaneous execution of the UC program, emergency demand response programs, and interruptible/curtailable loads. The proposed mechanism, in addition to decreasing …

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Measurement Of Active Power, Electrical Energy, And Trms Voltage And Current Using The Dual Slope Conversion Technique, Khaoula Khlifi, Ahlem Ayari, Amira Haddouk, Hfaiedh Mechergui Jan 2018

Measurement Of Active Power, Electrical Energy, And Trms Voltage And Current Using The Dual Slope Conversion Technique, Khaoula Khlifi, Ahlem Ayari, Amira Haddouk, Hfaiedh Mechergui

Turkish Journal of Electrical Engineering and Computer Sciences

We have exploited the dual slope (DS) conversion technique to realize an intelligent system with high resolution that ensures active power measurement and electrical energy consumption. The load power is suited by two Hall effect current and voltage transducers, which are associated upstream with a precision analogue multiplier. A DS analogue-to-digital converter (DS-ADC) performs the conversion by rejecting noise with a conversion time that is multiple frequencies of the ADC's first slope. The digital acquisition is made by a PIC 16F877 using a management algorithm ensuring the control, acquisition, and treatment of information. Results are displayed on a 2-line and …

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Electrostatic Discharge Currents And Their Derivatives' Approximation By Piecewise Power-Exponential Functions, Vesna Javor, Karl Lundengard, Milica Rancic, Sergei Silvestrov Jan 2018

Electrostatic Discharge Currents And Their Derivatives' Approximation By Piecewise Power-Exponential Functions, Vesna Javor, Karl Lundengard, Milica Rancic, Sergei Silvestrov

Turkish Journal of Electrical Engineering and Computer Sciences

An analytically extended function based on power-exponential functions is used in this paper for approximation of electrostatic discharge (ESD) currents and their derivatives. The Marquardt least-squares method (MLSM) is applied for obtaining nonlinear function parameters. IEC 61000-4-2 Standard ESD current is approximated, as well as some measured ESD currents' wave shapes. Power-exponential terms are extended at the local maxima and minima of the represented wave shape, so that this approximation is done from peak to peak. ESD current derivative is approximated using the same procedure in order to obtain the continuous second order derivative of the current, as all piecewise …

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Optimal Sizing Hydrokinetic-Photovoltaic System For Electricity Generation In A Protected Wildlife Area Of Ecuador, Juan Lata- Garcia, Francisco Jurado-Melguizo, Higinio Sanchez-Sainz, Christopher Reyes-Lopez, Luis Fernandez- Ramirez Jan 2018

Optimal Sizing Hydrokinetic-Photovoltaic System For Electricity Generation In A Protected Wildlife Area Of Ecuador, Juan Lata- Garcia, Francisco Jurado-Melguizo, Higinio Sanchez-Sainz, Christopher Reyes-Lopez, Luis Fernandez- Ramirez

Turkish Journal of Electrical Engineering and Computer Sciences

Rural electrification is one of the most significant issues faced by electricity companies. For this reason, these companies are choosing alternative sources to generate energy in isolated regions. Furthermore, hybrid generation systems are an effective option for supplying protected areas. In this context, this research aims at designing an autonomous hybrid system to meet the annual electricity demand of the inhabitants of a national park. Fluvial and solar energies are the best options to reduce environmental impact and to ensure the conservation of the endemic fauna and flora of the island at a low carbon footprint. The system comprises a …

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Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay Jan 2018

Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay

Turkish Journal of Electrical Engineering and Computer Sciences

As the use of ontologies expands, their visualization is becoming increasingly important. In this study, an ontology browser for visualizing the Trajectory Simulation ONTology (TSONT) was evaluated in terms of usability by considering its subdimensions, which are effectiveness, efficiency, and user satisfaction. The methodology employed in this study for evaluating an ontology browser is reported along with the results of the evaluation. The TSONT browser is a tree-type ontology browser created to allow developers to visualize TSONT. Six flight simulation programmers with at least one year of experience participated in the study. The participants were given usability tasks and their …

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