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2016

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Articles 2611 - 2640 of 2698

Full-Text Articles in Computer Sciences

Power Flow Controlling Using Sssc Based On Matrix Converter Via Sa-Pso Algorithm, Ali Ajami, Farhad Mohajel Kazemi Jan 2016

Power Flow Controlling Using Sssc Based On Matrix Converter Via Sa-Pso Algorithm, Ali Ajami, Farhad Mohajel Kazemi

Turkish Journal of Electrical Engineering and Computer Sciences

The static synchronous series compensator (SSSC) is one of the series flexible AC transmission system (FACTS) devices that can be used in power flow control and reactive compensation in transmission lines. In this paper, a new configuration of SSSC based on a matrix converter is presented. The proposed SSSC has some advantages such as elimination of the DC link, bidirectional power flow control capability, fast dynamic response, and simple control system. By presenting a switching algorithm for the AC-AC matrix converter, an almost sinusoidal series compensation voltage is injected to the transmission line with low total harmonic distortion. In this …

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The Process Of Creeping Discharge-Caused Damage On Oil/Pressboard Insulation, Ruijin Liao, Ende Hu, Lijun Yang, Lian Duan Jan 2016

The Process Of Creeping Discharge-Caused Damage On Oil/Pressboard Insulation, Ruijin Liao, Ende Hu, Lijun Yang, Lian Duan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents experimental research on creeping discharge by using cylinder-plate electrode configurations under AC voltages. The process of creeping discharge-caused damage on the oil/pressboard insulation was studied. First, the electric field distribution was achieved by Multiphysics software simulation. Afterwards, the phenomena that occurred in the entire damage process, such as ``white smoke'', ``white mark'', and ``black mark'', were recorded and analyzed. Furthermore, the micromorphology of the oil-impregnated pressboard was observed via scanning electron microscope (SEM). Finally, the inner mechanism of the damage to the oil/pressboard insulation was explored according to the phenomena and the SEM morphologies. Results showed that …

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Improved Control Of A Photovoltaic Pumping System By Dtc-Svm To Optimize The Water Flow, Moulay Idriss Chergui Jan 2016

Improved Control Of A Photovoltaic Pumping System By Dtc-Svm To Optimize The Water Flow, Moulay Idriss Chergui

Turkish Journal of Electrical Engineering and Computer Sciences

This paper deals with two different techniques of vector method-related direct torque control: the conventional (DTC-C) and the space vector modulation (DTC-SVM). Both are used for an induction motor in the photovoltaic pumping system. Based on instantaneous space vector theory, and with an optimal selection of the space voltage vectors in each sampling period, the DTC achieves effective control of the stator flux and torque. Consequently, the number of space voltage vectors and switching frequency directly influence the performance of the DTC control system, giving an advantage for a rotor position free control system. In order to improve the efficiency …

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A New Single Stage Single Phase Power Factor Corrected And Isolated Ac-Dc Converter Based On Resonance And Soft Switching, Haci Bodur, Erdem Akboy, İsmai̇l Aksoy Jan 2016

A New Single Stage Single Phase Power Factor Corrected And Isolated Ac-Dc Converter Based On Resonance And Soft Switching, Haci Bodur, Erdem Akboy, İsmai̇l Aksoy

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a new single stage single phase power factor corrected and isolated AC-DC converter based on resonance and soft switching (SS) is presented. In fact, a new concept for power factor corrected converter is proposed in this study. This converter provides power factor correction (PFC) by using a switch and a fully resonant circuit. It also provides regulated and isolated output voltage with direct power transfer by using a second switch and forward and flyback topologies based on resonance. Both switches in the converter are controlled with the same closed loop and the time multiplexing, and are switched …

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Modeling, Simulation, And Optimal Design Of Power System Stabilizers Using Abc Algorithm, Serdar Eki̇nci̇, Ayşen Demi̇rören Jan 2016

Modeling, Simulation, And Optimal Design Of Power System Stabilizers Using Abc Algorithm, Serdar Eki̇nci̇, Ayşen Demi̇rören

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a methodological system for modeling, simulation, and optimal tuning of the parameters of power system stabilizer (PSS) controllers in a multimachine power system so as to enhance transient stability. The model of a multimachine power system with PSS controllers is developed in MATLAB/Simulink for the simulation design. Simulink is a software instrument related to MATLAB, which is employed for modeling, simulating, and analyzing dynamical systems. The PSS controllers' design problem is expressed as an optimization problem; and the artificial bee colony (ABC) algorithm is utilized so as to examine the optimal PSS controller's parameters. The power system's …

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Fractional Control And Generalized Synchronization For A Nonlinear Electromechanical Chaotic System And Its Circuit Simulation With Multisim, Zhen Wang, Tengfei Lei, Xiaojian Xi, Wei Sun Jan 2016

Fractional Control And Generalized Synchronization For A Nonlinear Electromechanical Chaotic System And Its Circuit Simulation With Multisim, Zhen Wang, Tengfei Lei, Xiaojian Xi, Wei Sun

Turkish Journal of Electrical Engineering and Computer Sciences

Two fractional differential controllers, described and validated by using the fractional order stability theorem and the Gershgorin circle theorem for a self-sustained electromechanical system consisting of a van der Pol-Duffing coupled oscillator, were studied in this paper. Based on the idea of a nonlinear observer, a new method for generalized synchronization (GS) of this system is proposed. Finally, the circuit simulation results demonstrate the correctness and the effectiveness of the proposed control and GS strategy.

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Scalable Sentiment Analytics, Aslan Baki̇rov, Kevser Nur Çoğalmiş, Ahmet Bulut Jan 2016

Scalable Sentiment Analytics, Aslan Baki̇rov, Kevser Nur Çoğalmiş, Ahmet Bulut

Turkish Journal of Electrical Engineering and Computer Sciences

Spark has become a widely popular analytics framework that provides an implementation of the equally popular MapReduce programming model. Hadoop is an Apache foundation framework that can be used for processing large datasets on a cluster of computers using the MapReduce programming model. Mahout is an Apache foundation project developed for building scalable machine learning libraries, which includes built-in machine learning classifiers. In this paper, we show how to build a simple text classifier on Spark, Apache Hadoop, and Apache Mahout for extracting out sentiments from a text collection containing millions of text documents. Using a collection of 7 million …

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Comparison Of Ar Parametric Methods With Subspace-Based Methods For Emg Signal Classification Using Stand-Alone And Merged Neural Network Models, Mehmet Recep Bozkurt, Abdülhami̇t Subaşi, Etem Köklükaya, Mustafa Yilmaz Jan 2016

Comparison Of Ar Parametric Methods With Subspace-Based Methods For Emg Signal Classification Using Stand-Alone And Merged Neural Network Models, Mehmet Recep Bozkurt, Abdülhami̇t Subaşi, Etem Köklükaya, Mustafa Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

This research introduces an electromyogram (EMG) pattern classification of individual motor unit action potentials (MUPs) from intramuscular electromyographic signals. The presented technique automatically classifies EMG patterns into healthy, myopathic, or neurogenic categories. To extract a feature vector from the EMG signal, we use different autoregressive (AR) parametric methods and subspace-based methods. The proposal was validated using EMG recordings composed of 1200 EMG patterns obtained from 7 healthy, 7 myopathic, and 13 neurogenic-disordered people. A feedforward error backpropagation artificial neural network (FEBANN) and combined neural network (CNN) were used for classification, where the success rate was slightly higher in CNN. Among …

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Study Of The Icing Growth Characteristic And Its Influencing Factors For Different Types Of Insulators, Zhijing Zhang, Dongdong Zhang, Haizhou Huang, Xingliang Jiang, David Wenzhong Gao Jan 2016

Study Of The Icing Growth Characteristic And Its Influencing Factors For Different Types Of Insulators, Zhijing Zhang, Dongdong Zhang, Haizhou Huang, Xingliang Jiang, David Wenzhong Gao

Turkish Journal of Electrical Engineering and Computer Sciences

Icing poses a serious threat to power transmission in many countries. Various studies on the icing mechanism and icing growth process of transmission lines have been carried out all over the world, whereas there are few reports about the icing growth mechanism and its influencing factors on insulators to date. In this paper, artificial tests of insulator icing were carried out; the influences of temperature, median volumetric diameter (MVD), and wind velocity on the icing accretion process, ice shape, and ice type on the surface of insulators were analyzed systematically; and the icing growth performance of different types of insulators …

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Online Monitoring And Accident Diagnosis Aid System For The Nur Nuclear Research Reactor, Amina Nasrine Allalou, Mohamed Tadjine, Mohamed Seghir Boucherit Jan 2016

Online Monitoring And Accident Diagnosis Aid System For The Nur Nuclear Research Reactor, Amina Nasrine Allalou, Mohamed Tadjine, Mohamed Seghir Boucherit

Turkish Journal of Electrical Engineering and Computer Sciences

This paper deals with the design of a computerized monitoring and diagnosis aid system (CMDAS) for the Nur Nuclear Research Reactor based on real-time plant-specific safety parameters. The CMDAS carries out early detection and identification of accidents that might affect this reactor using supervised neural networks. The graphical programming language LabVIEW is used for creating a human--operator interface, networking, embedding the diagnosis procedure, and handling and storing the data. The methodology presented in this paper can be adapted for any nuclear research reactor.

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Knowledge-Based Genetic Algorithm Approach To Quantization Table Generation For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan Jan 2016

Knowledge-Based Genetic Algorithm Approach To Quantization Table Generation For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan

Turkish Journal of Electrical Engineering and Computer Sciences

JPEG has played an important role in the image compression field for the past two decades. Quantization tables in the JPEG scheme is a key factor that is responsible for compression/quality trade-off. Finding the optimal quantization table is an open research problem. Studies recommend the genetic algorithm to generate the optimal solution. Recent reports revealed optimal quantization table generation based on a classical genetic algorithm (CGA). Although the CGA produces better results, it shows inefficiency in terms of convergence speed and productivity of feasible solutions. This paper proposes a knowledge-based genetic algorithm (KBGA), which combines the image characteristics and knowledge …

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High Dynamic Performance Of A Bldc Motor With A Front End Converter Using An Fpga Based Controller For Electric Vehicle Application, Praveen Yadav, Rajesh Poola, Khaja Najumudeen Jan 2016

High Dynamic Performance Of A Bldc Motor With A Front End Converter Using An Fpga Based Controller For Electric Vehicle Application, Praveen Yadav, Rajesh Poola, Khaja Najumudeen

Turkish Journal of Electrical Engineering and Computer Sciences

This paper focus on a novel operation of a brushless dc (BLDC) motor fed by a proportional integral (PI) controlled buck--boost converter supplemented with a battery to provide the required power to drive the BLDC motor. The operational characteristics of the proposed BLDC motor drive system for constant as well as step changes in dc link voltage of a front end converter controlled by a Xilinx System Generator (XSG) based PI controller for two quadrant operations are derived. Thus a field programmable gate array (FPGA) based PI controller manages the energy flow through the battery and the front end converter. …

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A Facial Component-Based System For Emotion Classification, Elena Sönmez, Songül Albayrak Jan 2016

A Facial Component-Based System For Emotion Classification, Elena Sönmez, Songül Albayrak

Turkish Journal of Electrical Engineering and Computer Sciences

Smart environments with ubiquitous computers are the next generation of information technology, which requires improved human--computer interfaces. That is, the computer of the future must be aware of the people in its environment; it must know their identities and must understand their moods. Despite the great effort made in the past decades, the development of a system capable of automatic facial emotion recognition is still rather difficult. In this paper, we challenge the benchmark algorithm on emotion classification of the Extended Cohn-Kanade (CK$+)$ database, and we present a facial component-based system for emotion classification, which beats the given benchmark performance: …

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Wideband Analysis Of Planar Scalable Antennas And Pec Bodies Using Cbfm, Sema Nur Koç, Adnan Köksal Jan 2016

Wideband Analysis Of Planar Scalable Antennas And Pec Bodies Using Cbfm, Sema Nur Koç, Adnan Köksal

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, scattering and radiation from scalable planar bodies are investigated in a wide frequency band. Characteristic basis functions (CBFs) are utilized for this purpose with a different approach. The CBFs for the body are calculated at the highest frequency of interest and reused at other frequencies. As the frequency decreases, the unnecessary CBFs are removed from the basis set. The reduced impedance matrices generated at lower frequencies are also used for the calculation of the ones at higher frequencies. As a result, a significant reduction in CPU time is obtained with the proposed method. Numerical results for the …

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Stability Analysis Of An Asymmetrical Six-Phase Synchronous Motor, Arif Iqbal, Gk Singh, Vinay Pant Jan 2016

Stability Analysis Of An Asymmetrical Six-Phase Synchronous Motor, Arif Iqbal, Gk Singh, Vinay Pant

Turkish Journal of Electrical Engineering and Computer Sciences

This paper deals the stability analysis of a six-phase synchronous motor using eigenvalue criteria from its linearized model, so that the small displacement stability during steady-state condition can be accessed. Eigenvalue provides a simple but effective means for the stability analysis of a motor. An association between eigenvalues and motor parameters has been established, followed by the formulation of transfer functions and plotting the root locus of system, employing the dq0 approach in the MATLAB environment.

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Bone Age Determination In Young Children (Newborn To 6 Years Old) Using Support Vector Machines, Gür Emre Güraksin, Harun Uğuz, Ömer Kaan Baykan Jan 2016

Bone Age Determination In Young Children (Newborn To 6 Years Old) Using Support Vector Machines, Gür Emre Güraksin, Harun Uğuz, Ömer Kaan Baykan

Turkish Journal of Electrical Engineering and Computer Sciences

Bone age is assessed through a radiological analysis of the left-hand wrist and is then compared to chronological age. A conflict between these two values indicates an abnormality in the development process of the skeleton. This study, conducted on children aged between 0 and 6 years, proposes a computer-based diagnostic system to eliminate the disadvantages of the methods used in bone age determination. For this purpose, primarily an image processing procedure was applied to the X-ray images of the left-hand wrist of children from different ethnic groups aged between 0 and 6 years. A total of 9 features, corresponding to …

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Optimal Power Flow By Considering System Security Cost And Small Signal Stability Constraints, Mohammad Sarvi, Mohammad Reza Salimian Jan 2016

Optimal Power Flow By Considering System Security Cost And Small Signal Stability Constraints, Mohammad Sarvi, Mohammad Reza Salimian

Turkish Journal of Electrical Engineering and Computer Sciences

The main objective of optimal power flow is to find the proper operating point for the power system. In this paper, the optimal power flow by considering system security cost (OPFSC) and the small signal stability constraint is presented. For this purpose, the total profit of the system by considering the system constraints is optimized. The total profit of the system is equal to the combination of profit from the active power consumption, active power generation cost, and system security cost. System security cost includes the cost of load shedding, which is computed for all contingencies that may occur in …

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Multiple Perspectives On The Hardware Implementations Of Biological Neuron Models And Programmable Design Aspects, Ni̇met Korkmaz, İsmai̇l Öztürk, Recai̇ Kiliç Jan 2016

Multiple Perspectives On The Hardware Implementations Of Biological Neuron Models And Programmable Design Aspects, Ni̇met Korkmaz, İsmai̇l Öztürk, Recai̇ Kiliç

Turkish Journal of Electrical Engineering and Computer Sciences

A few individual design examples of programmable device-based biological neuron model implementations are available in the literature, but there is no comprehensive study that examines analog and digital programmable design examples of frequently studied biological neuron model implementations. The aim of this paper is to present a comparative study about programmable and reconfigurable implementations of the FitzHugh--Nagumo, Izhikevich, and Hindmarsh--Rose neuron models. Since field programmable analog array (FPAA) and field programmable gate array (FPGA) devices offer several advantages such as flexible design possibilities, reduction of the complexity of design, real-time modification, and software control for programmable and reconfigurable implementations of …

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Reinforcement Learning-Based Mobile Robot Navigation, Ni̇hal Altuntaş, Erkan İmal, Nahi̇t Emanet, Ceyda Nur Öztürk Jan 2016

Reinforcement Learning-Based Mobile Robot Navigation, Ni̇hal Altuntaş, Erkan İmal, Nahi̇t Emanet, Ceyda Nur Öztürk

Turkish Journal of Electrical Engineering and Computer Sciences

In recent decades, reinforcement learning (RL) has been widely used in different research fields ranging from psychology to computer science. The unfeasibility of sampling all possibilities for continuous-state problems and the absence of an explicit teacher make RL algorithms preferable for supervised learning in the machine learning area, as the optimal control problem has become a popular subject of research. In this study, a system is proposed to solve mobile robot navigation by opting for the most popular two RL algorithms, Sarsa($\lambda )$ and Q($\lambda )$. The proposed system, developed in MATLAB, uses state and action sets, defined in a …

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Scale Invariant And Fixed-Length Feature Extraction By Integrating Discrete Cosine Transform And Autoregressive Signal Modeling For Palmprint Identification, Burhan Ergen Jan 2016

Scale Invariant And Fixed-Length Feature Extraction By Integrating Discrete Cosine Transform And Autoregressive Signal Modeling For Palmprint Identification, Burhan Ergen

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, the need for automatic identification has caused researchers to focus on biometric identification methods. Palmprint-based biometric identification has several advantages such as user friendliness, low-cost capturing devices, and robustness. In this paper, a method that integrates the discrete cosine transform (DCT) and an autoregressive (AR) signal modeling is proposed for biometric identification. The method provides scale invariance and produces a fixed-length feature vector. In particular, the Burg algorithm is used for the determination of the AR parameters used as a feature vector. Experimental results demonstrate that a small number of the AR parameters that are modeling the DCT coefficients …

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An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method, Ahmet Reşi̇t Kavsaoğlu, Kemal Polat, Mehmet Recep Bozkurt Jan 2016

An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method, Ahmet Reşi̇t Kavsaoğlu, Kemal Polat, Mehmet Recep Bozkurt

Turkish Journal of Electrical Engineering and Computer Sciences

The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate variability (HRV) by finding the peaks in the PPG signal. HRV is a measure of the fluctuation of the time interval between heartbeats and is calculated based on time series between strokes derived from electrocardiogram (ECG), arterial pressure (AP), or PPG signals, separately. PPG is a method widely used to measure blood volume of tissue on the basis of blood volume change in every heartbeat. …

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Penalty Factor-Based Optimization Algorithm For Distributed Generation Sizing In Distribution Network, Jasrul Jamani Jamian, Mohd Nabil Bin Muhtazaruddin, Muhammad Ariff Baharuddin Jan 2016

Penalty Factor-Based Optimization Algorithm For Distributed Generation Sizing In Distribution Network, Jasrul Jamani Jamian, Mohd Nabil Bin Muhtazaruddin, Muhammad Ariff Baharuddin

Turkish Journal of Electrical Engineering and Computer Sciences

The installation of distributed generation (DG) can be used to minimize the total power loss in the distribution network. Besides that, other power system performances such as voltage profile, stability index, and total harmonic distortion can also be improved via DG. Although many works on DG have been done, most researchers have assumed that the distribution line is in an ideal condition (unlimited capacity limit). On the contrary, all practical lines should have their own capacity limit. Therefore, the main contribution of this paper is to determine the optimal DG output that can fulfill the maximum allowable line capacity limit …

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A New Fuzzy Membership Assignment And Model Selection Approach Based On Dynamic Class Centers For Fuzzy Svm Family Using The Firefly Algorithm, Omid Naghash Almasi, Modjtaba Rouhani Jan 2016

A New Fuzzy Membership Assignment And Model Selection Approach Based On Dynamic Class Centers For Fuzzy Svm Family Using The Firefly Algorithm, Omid Naghash Almasi, Modjtaba Rouhani

Turkish Journal of Electrical Engineering and Computer Sciences

The support vector machine (SVM) is a powerful tool for classification problems. Unfortunately, the training phase of the SVM is highly sensitive to noises in the training set. Noises are inevitable in real-world applications. To overcome this problem, the SVM was extended to a fuzzy SVM by assigning an appropriate fuzzy membership to each data point. However, suitable choice of fuzzy memberships and an accurate model selection raise fundamental issues. In this paper, we propose a new method based on optimization methods to simultaneously generate appropriate fuzzy membership and solve the model selection problem for the SVM family in linear/nonlinear …

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An Intelligent Design Optimization Of A Permanent Magnet Synchronous Motor By Artificial Bee Colony Algorithm, Mümtaz Mutluer, Osman Bi̇lgi̇n Jan 2016

An Intelligent Design Optimization Of A Permanent Magnet Synchronous Motor By Artificial Bee Colony Algorithm, Mümtaz Mutluer, Osman Bi̇lgi̇n

Turkish Journal of Electrical Engineering and Computer Sciences

The artificial bee colony algorithm is one of the latest stochastic methods based on swarm intelligence. The algorithm simulates the foraging behavior of honeybees. The structure of the algorithm is quite simple and its coding is very easy. This paper proposes a design optimization based on geometrical variables to obtain a highly efficient surface-mounted permanent magnet synchronous motor with concentrated winding by use of the artificial bee colony algorithm. Input parameters for the algorithm are the geometrical variables of the motor. This approach is more advantageous than finite element analysis requiring a long period of time. Results of the artificial …

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Computation Of The Scattered Fields From An Arbitrary Discontinuity On A Perfectly Conducting Ground Plane By A Decomposition Method, Ahmet Kizilay, Uğur Saynak Jan 2016

Computation Of The Scattered Fields From An Arbitrary Discontinuity On A Perfectly Conducting Ground Plane By A Decomposition Method, Ahmet Kizilay, Uğur Saynak

Turkish Journal of Electrical Engineering and Computer Sciences

A novel procedure for solving plane wave incident on arbitrary bump or cavity geometries on a perfectly conducting ground plane is introduced. The method is presented with examples for transverse-magnetic polarization compared to various other solution methods. The proposed method can be easily generalized to other similar problems.

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Finger-Vein Biometric Identification Using Convolutional Neural Network, Syafeeza Ahmad Radzi, Mohamed Khalil Hani, Rabia Bakhteri Jan 2016

Finger-Vein Biometric Identification Using Convolutional Neural Network, Syafeeza Ahmad Radzi, Mohamed Khalil Hani, Rabia Bakhteri

Turkish Journal of Electrical Engineering and Computer Sciences

A novel approach using a convolutional neural network (CNN) for finger-vein biometric identification is presented in this paper. Unlike existing biometric techniques such as fingerprint and face, vein patterns are inside the body, making them virtually impossible to replicate. This also makes finger-vein biometrics a more secure alternative without being susceptible to forgery, damage, or change with time. In conventional finger-vein recognition methods, complex image processing is required to remove noise and extract and enhance the features before the image classification can be performed in order to achieve high performance accuracy. In this regard, a significant advantage of the CNN …

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System Identification By Using Migrating Birds Optimization Algorithm: A Comparative Performance Analysis, Hasan Makas, Nejat Yumuşak Jan 2016

System Identification By Using Migrating Birds Optimization Algorithm: A Comparative Performance Analysis, Hasan Makas, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

System identification is an important process to investigate and understand the behavior of an unknown system. It aims to establish an interface between the real system and its mathematical representation. Conventional system identification methods generally need differentiable search spaces and they cannot be used for nondifferentiable multimodal search spaces. On the other hand, metaheuristic search algorithms are independent from the search space characteristics and they do not need much knowledge about the real system. The migrating birds optimization algorithm is a recently introduced nature-inspired metaheuristic neighborhood search approach. It simulates the V flight formation of migrating birds, which enables birds …

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Classification Of Short-Circuit Faults In High-Voltage Energy Transmission Line Using Energy Of Instantaneous Active Power Components-Based Common Vector Approach, Mehmet Yumurtaci, Gökhan Gökmen, Çağri Kocaman, Semi̇h Ergi̇n, Osman Kiliç Jan 2016

Classification Of Short-Circuit Faults In High-Voltage Energy Transmission Line Using Energy Of Instantaneous Active Power Components-Based Common Vector Approach, Mehmet Yumurtaci, Gökhan Gökmen, Çağri Kocaman, Semi̇h Ergi̇n, Osman Kiliç

Turkish Journal of Electrical Engineering and Computer Sciences

The majority of power system faults occur in transmission lines. The classification of these faults in power systems is an important issue. In this paper, the real parameters of a 28 km, 154 kV transmission line between Simav and Demirci in Turkey's electricity transmission network is simulated in MATLAB/Simulink. Wavelet packet transform (WPT) is applied to instantaneous voltage signals. Instantaneous active power components are obtained by multiplying instantaneous currents obtained from a voltage source side with these WPT-based voltage signal components. A new feature vector extraction scheme is employed by calculating the energies of instantaneous active power components. Constructed feature …

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A New Security Relation Between Information Rate And State Size Of A Keystream Generator, Orhun Kara, İmran Ergüler, Emi̇n Anarim Jan 2016

A New Security Relation Between Information Rate And State Size Of A Keystream Generator, Orhun Kara, İmran Ergüler, Emi̇n Anarim

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless communication in near field applications is becoming widespread. Most of the devices such as sensor networks or RFID applications are operated in constraint environments and some of these prevalent technologies require security applications. As one conclusion, the design and analysis of lightweight cryptographic algorithms has been one of the favorite research subjects over the last decade. We have seen that mostly lightweight block ciphers have been designed as symmetric encryption algorithms. The main reason is that stream ciphers are supposed to have large internal states due to the strict requirement related to their resistance against tradeoff attacks (time--memory--data tradeoff …

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Identifying Acquisition Devices From Recorded Speech Signals Using Wavelet-Based Features, Ömer Eski̇dere Jan 2016

Identifying Acquisition Devices From Recorded Speech Signals Using Wavelet-Based Features, Ömer Eski̇dere

Turkish Journal of Electrical Engineering and Computer Sciences

Speech characteristics have played a critical role in media forensics, particularly in the investigation of evidence. This study proposes two wavelet-based feature extraction methods for the identification of acquisition devices from recorded speech. These methods are discrete wavelet-based coefficients (DWBCs) and wavelet packet-based coefficients, which are mainly based on a multiresolution analysis. These features' ability to capture characteristics of acquisition devices is compared to conventional mel frequency cepstral coefficients and subband-based coefficients. In the experiments, 14 different audio acquisition devices were trained and tested using support vector machines. Experimental results showed that DWBCs can effectively be used in source audio …

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