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- Keyword
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- Genetic algorithm (8)
- Flexible AC transmission systems (5)
- Particle swarm optimization (5)
- Artificial bee colony algorithm (4)
- Power quality (4)
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- Support vector machines (4)
- Adaptive control (3)
- Classification (3)
- Clustering (3)
- Differential evolution (3)
- FACTS devices (3)
- Mammography (3)
- Modeling (3)
- Multiobjective (3)
- Neural network (3)
- Optimal power flow (3)
- Optimization (3)
- S-transform (3)
- Simulation (3)
- Artificial bee colony (2)
- Artificial intelligence (2)
- Artificial neural network (2)
- Bioinformatics (2)
- Breast cancer (2)
- Chaos (2)
- Data hiding (2)
- Evolutionary programming (2)
- Filters (2)
- Fuzzy logic control (2)
- Fuzzy systems (2)
Articles 31 - 60 of 163
Full-Text Articles in Physical Sciences and Mathematics
7-Dof Haptic Device And Interface Design, Özgür Başer, Erhan İlhan Konukseven
7-Dof Haptic Device And Interface Design, Özgür Başer, Erhan İlhan Konukseven
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, the developed 7-DOF haptic device (HaP-7) and its virtual reality interface are presented. The design issues, design constraints, and alternative design configurations are discussed and the potential advantages of the HaP-7 are put forward. The kinematic model of the proposed device looks like a simplified human arm kinematic model. The redundant characteristic of the device provides larger workspace and allows for appropriate posture selection for the purposes of maximization of the rigidity, transparency and stability, while minimizing the inertia and power consumption in addition to the singularity and obstacle avoidance optimization.
Real-Time Implementation Of An Amplitude-Locked Loop: A Validation On The Dspace Ds1006-Based Platform, Jora Mangala Gonda, Sumam Sarah
Real-Time Implementation Of An Amplitude-Locked Loop: A Validation On The Dspace Ds1006-Based Platform, Jora Mangala Gonda, Sumam Sarah
Turkish Journal of Electrical Engineering and Computer Sciences
The extraction of harmonics and/or the fundamental from a distorted waveform is an important process in the implementation of custom-power devices. Several schemes towards this have been proposed in the past. Among these, the algorithms based on synchronous (with respect to the supply voltages) extraction (both in phase and amplitude) have certain established advantages over the others. Amplitude-locked loops (ALLs) have been in use in signal-communication systems but are limited to sinusoidal inputs. There is a need for fast and rugged algorithms to synchronously extract harmonics and/or the fundamental from a distorted waveform in many power system applications. In this …
Investigation Of The Telluric Effects Arising Along The Cathodically Protected Natural Gas Pipeline Between Karadeniz Ereğli And Düzce, Bi̇lal Demi̇rel, Hayri̇ Yalçin
Investigation Of The Telluric Effects Arising Along The Cathodically Protected Natural Gas Pipeline Between Karadeniz Ereğli And Düzce, Bi̇lal Demi̇rel, Hayri̇ Yalçin
Turkish Journal of Electrical Engineering and Computer Sciences
Cathodic protection is one of the most widely used applications for protecting underground and submarine metallic structures from corrosion. This method is based on providing the electrons, which metallic structures lose as a result of electrolytic reaction, by the cathodic protection system. However, from time to time, it may be possible that there is some unwanted interference input into the metallic structure in such applications. This study is aimed at ascertaining the existence, arising frequency, and magnitude of an interference called the telluric effect that is going in and out of the natural gas pipeline between Düzce and Karadeniz Ereğli …
Foster Impedance Data Modeling Via Singly Terminated Lc Ladder Networks, Meti̇n Şengül
Foster Impedance Data Modeling Via Singly Terminated Lc Ladder Networks, Meti̇n Şengül
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, a lossless model is developed for the given Foster impedance data. In the model, a 2-port short- or open-terminated LC ladder is used. After applying the proposed algorithm, a realizable driving-point reactance function that fits the given data is obtained. Next, this function is synthesized, resulting in the desired model. In the algorithm, there is no need to select a circuit topology for the model. Two examples are given to illustrate the utilization of the proposed modeling algorithm.
A New Multiobjective Fuzzy Shuffled Frog-Leaping Algorithm For Optimal Reconfiguration Of Radial Distribution Systems In The Presence Of Reactive Power Compensators, Hossein Dehghan Dehnavi, Saeid Esmaeili
A New Multiobjective Fuzzy Shuffled Frog-Leaping Algorithm For Optimal Reconfiguration Of Radial Distribution Systems In The Presence Of Reactive Power Compensators, Hossein Dehghan Dehnavi, Saeid Esmaeili
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new approach for the optimal reconfiguration of radial distribution systems in the presence of reactive power compensators (RPCs). The proposed method is based on the simultaneous reconfiguration and RPC allocation for the mitigation of losses, equalizing the feeder load balancing as well as improving the voltage profile in power distribution networks. In this paper, the compensators are the capacitor bank and distribution static compensator, which is a type of distribution flexible alternating current transmission system device representative of conventional and modern RPCs. In this regard, the optimal states of the distribution system tie switches are determined …
A Framework For Medical Image Retrieval Using Merging-Based Classification With Dependency Probability-Based Relevance Feedback, Hossein Pourghassem, Sabalan Daneshvar
A Framework For Medical Image Retrieval Using Merging-Based Classification With Dependency Probability-Based Relevance Feedback, Hossein Pourghassem, Sabalan Daneshvar
Turkish Journal of Electrical Engineering and Computer Sciences
Content-based image retrieval (CBIR) systems are used to retrieve relevant images from large-scale databases. In this paper, a framework for the image retrieval of a large-scale database of medical X-ray images is presented. This framework is designed based on query image classification into several prespecified homogeneous classes. Using a merging scheme and an iterative classification, the homogeneous classes are formed from overlapping classes in the database. For this purpose, the shape and texture features, selected using the forward selection algorithm, are optimized by a novel genetic algorithm-based feature reduction and optimization algorithm in the feature space. In this algorithm, using …
Novel Control Strategy For Voltage Source Converters Based On Energy Function, Sanaz Namayan Tavana, Gevork Gharehpetian, Mehrdad Abedi, Ali Bidadfar
Novel Control Strategy For Voltage Source Converters Based On Energy Function, Sanaz Namayan Tavana, Gevork Gharehpetian, Mehrdad Abedi, Ali Bidadfar
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a nonlinear control strategy for pulse-width modulated voltage source converters (VSCs). A passivity-based approach, resulting from the Lyapunov direct method, is presented for designing an effective nonlinear VSC controller to improve their dynamic behaviors under perturbed conditions. The differential equations of the converters are obtained and then transformed into a d-q frame. Considering the nonlinearity of the transformed equations, the Lyapunov direct method is utilized to find a solution to improve the transient response. The time derivative of the Lyapunov function guarantees that increasing its dissipative term will result in the trajectory of the VSC system returning …
A New Multiobjective Optimal Allocation Of Multitype Facts Devices For Total Transfer Capability Enhancement And Improving Line Congestion Using The Harmony Search Algorithm, Abbas Esmaeili, Saeid Esmaeili
A New Multiobjective Optimal Allocation Of Multitype Facts Devices For Total Transfer Capability Enhancement And Improving Line Congestion Using The Harmony Search Algorithm, Abbas Esmaeili, Saeid Esmaeili
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a new approach based on novel heuristic algorithms is used to locate and model multitype flexible alternating current transmission system (FACTS) devices (series and parallel) in order to improve the total transfer capability and decrease the line congestion and total power loss. The multitype FACTS devices, including the static synchronous series compensator, static compensator, and unified power flow controller, have been optimally sized and located simultaneously through the harmony search algorithm (HSA). To achieve this purpose, a program in MATLAB code has been developed in order to extend the conventional Newton--Raphson algorithm for multitype facts applications. Since …
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Turkish Journal of Electrical Engineering and Computer Sciences
Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of …
Implementation Of An Ac Model For Transmission Expansion Planning Considering Reliability Constraints, Amin Mahmoudabad, Masoud Rashidinejad, Majid Zeinaddini-Meymand, Mohsen Rahmani
Implementation Of An Ac Model For Transmission Expansion Planning Considering Reliability Constraints, Amin Mahmoudabad, Masoud Rashidinejad, Majid Zeinaddini-Meymand, Mohsen Rahmani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining a significant quality solution for such complicated problems considering contingency is proposed. In order to indicate the severity of the contingency, 2 performance indices, namely the line flow performance index and voltage performance index, are calculated. An interior point method is applied as a nonlinear programming solver to handle such nonconvex optimization problems, while the objective function includes the costs of the new transmission lines as well as the …
An Automated Prognosis System For Estrogen Hormone Status Assessment In Breast Cancer Tissue Samples, Fati̇h Sarikoç, Adem Kalinli, Hülya Akgün, Fi̇gen Öztürk
An Automated Prognosis System For Estrogen Hormone Status Assessment In Breast Cancer Tissue Samples, Fati̇h Sarikoç, Adem Kalinli, Hülya Akgün, Fi̇gen Öztürk
Turkish Journal of Electrical Engineering and Computer Sciences
Estrogen receptor (ER) status evaluation is a widely applied method in the prognosis of breast cancer. However, testing for the existence of the ER biomarker in a patient's tumor sample mainly depends on the subjective decisions of the doctors. The aim of this paper is to introduce the usage of a machine learning tool, functional trees (FTs), to attain an ER prognosis of the disease via an objective decision model. For this aim, 27 image files, each of which came from a biopsy sample of an invasive ductal carcinoma patient, were scanned and captured by a light microscope. From these …
Analysis Of Conducted Emi With A Standalone Solar-Powered Dc Motor, Krishna Kumar Chittibabu, Nirmal Kumar Alphonse
Analysis Of Conducted Emi With A Standalone Solar-Powered Dc Motor, Krishna Kumar Chittibabu, Nirmal Kumar Alphonse
Turkish Journal of Electrical Engineering and Computer Sciences
The green environment warrants not only researchers, but rather all citizens, to adopt renewable energy sources. One such option is the use of solar energy, especially the conversion of light energy from the sun to electric energy. The conversion of light to electricity with the help of photovoltaic cells (PV), though widely used, has its own problems, such as undesirable electromagnetic interference (EMI), both in radiation and conduction modes. The present research aims to mitigate the unwanted EMI in the conduction mode (to limit the scope of the research). The mitigation of the conducted EMI on a DC/DC buck converter …
A Control Algorithm For A Simple Flywheel Energy Storage System To Be Used In Space Applications, Kutlay Aydin, Mehmet Ti̇mur Aydemi̇r
A Control Algorithm For A Simple Flywheel Energy Storage System To Be Used In Space Applications, Kutlay Aydin, Mehmet Ti̇mur Aydemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Flywheels have been under consideration to be used for energy storage purposes in space applications to replace electrochemical batteries. An electrical machine is used as a motor to store kinetic energy when the solar energy is available, and then the stored energy is converted back to electrical energy by running the machine as a generator when the solar energy is no longer available. A control algorithm for these systems is proposed in this paper. The proposed method uses a current reference rather than a speed reference in the motor mode. A method is also suggested to properly determine the current …
Big Bang-Big Crunch Optimization Algorithm With Local Directional Moves, Hakki Murat Genç, İbrahi̇m Eksi̇n, Osman Kaan Erol
Big Bang-Big Crunch Optimization Algorithm With Local Directional Moves, Hakki Murat Genç, İbrahi̇m Eksi̇n, Osman Kaan Erol
Turkish Journal of Electrical Engineering and Computer Sciences
The big bang--big crunch (BB--BC) algorithm has been proposed as a novel optimization method that relies on one of the theories of the evolution of the universe, namely the big bang and big crunch theory. It has been shown that this algorithm is capable of quick convergence, even in long, narrow parabolic-shaped flat valleys or in the existence of several local extremes. In this work, the BB--BC optimization algorithm is hybridized with local search moves in between the ``banging'' and ``crunching'' phases of the algorithm. These 2 original phases of the BB--BC algorithm are preserved, but the representative point (``best'' …
Lightweight Wireless Protocol Based On Ieee 802.11 For Delay Sensitive Telerobotic Systems, Onur Toker, Haluk Gümüşkaya, Ci̇han Ulaş, Bora Tamer Yilmaz
Lightweight Wireless Protocol Based On Ieee 802.11 For Delay Sensitive Telerobotic Systems, Onur Toker, Haluk Gümüşkaya, Ci̇han Ulaş, Bora Tamer Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we consider wireless telerobotic systems and protocol development for low-delay wireless communication. Telerobotics can be defined as the control of robot arms from a remote location. In a telerobotic system, there is a robot arm to be controlled that is identified as the `slave arm', and a remote operator at a distant location using a robotic manipulator that is called the `master arm'. In the control system measurements, actuator delays do degrade the system's performance. Therefore, communication delays between the master and slave arms, and their minimization, are of extreme importance in telerobotics. In this paper, we …
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Turkish Journal of Electrical Engineering and Computer Sciences
About one million women are diagnosed with breast cancer every year. Breast cancer makes up one-third of all cancer diagnoses in women. Diagnosing breast cancer early is vital for successful treatment. Among the breast cancer screening methods available today, mammography is the most effective, although the low precision rate of breast biopsy caused by mammogram interpretation results in approximately 70% unnecessary biopsies with benign outcomes. The aim of this study was to extract strong diagnostic fuzzy rules for the inference engine of an expert system to be used for the diagnosis of breast cancer. These rules have been extracted through …
Bidding Strategy Of Generation Companies In A Competitive Electricity Market Using The Shuffled Frog Leaping Algorithm, Vijaya Kumar Jonnalagadda, Vinod Kumar Dulla Mallesham
Bidding Strategy Of Generation Companies In A Competitive Electricity Market Using The Shuffled Frog Leaping Algorithm, Vijaya Kumar Jonnalagadda, Vinod Kumar Dulla Mallesham
Turkish Journal of Electrical Engineering and Computer Sciences
In a competitive electricity market, generation companies need suitable bidding models to maximize their profit. Therefore, each supplier will bid strategically for choosing the bidding coefficients to counter the competitors' bidding strategies. In this paper, the optimal bidding strategy problem is solved using a novel algorithm based on the shuffled frog leaping algorithm (SFLA). It is a memetic metaheuristic that is designed to seek a global optimal solution by performing a heuristic search. It combines the benefits of the genetic-based memetic algorithm (MA) and the social behavior-based particle swarm optimization (PSO). This allows it to have a more precise search …
Direct Adaptive Fuzzy Sliding Mode Decoupling Control For A Class Of Underactuated Mechanical Systems, Fares Nafa, Salim Labiod, Hachemi Chekireb
Direct Adaptive Fuzzy Sliding Mode Decoupling Control For A Class Of Underactuated Mechanical Systems, Fares Nafa, Salim Labiod, Hachemi Chekireb
Turkish Journal of Electrical Engineering and Computer Sciences
Motivated by the dynamic characteristics of underactuated mechanical systems with 2 degrees of freedom, a decoupling adaptive fuzzy sliding mode decoupling controller (DAFSMDC) is presented in this paper. By exploiting the universal approximation property of fuzzy logic systems and the sliding mode control method, this paper proposes a new decoupling strategy of the system into 2 second-order subsystems and introduces an adaptive control algorithm that guarantees the convergence of both subsystems. Since fuzzy systems are used to approximate an unknown ideal controller, the adjustable parameters of the used fuzzy systems are updated using a gradient descent algorithm that is designed …
Encoderless Position Estimation And Error Correction Techniques For Miniature Mobile Robots, Farshad Arvin, Masoud Bekravi
Encoderless Position Estimation And Error Correction Techniques For Miniature Mobile Robots, Farshad Arvin, Masoud Bekravi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents an encoderless position estimation technique for miniature-sized mobile robots. Odometry techniques, which are based on the hardware components, are commonly used for calculating the geometric location of mobile robots. Therefore, the robot must be equipped with an appropriate sensor to measure the motion. However, due to the hardware limitations of some robots, employing extra hardware is impossible. On the other hand, in swarm robotic research, which uses a large number of mobile robots, equipping the robots with motion sensors might be costly. In this study, the trajectory of the robot is divided into several small displacements over …
A New Extension Of Activity Networks For Modeling And Verification Of Timed Systems, Hassan Motallebi, Mohammad Abdollahi Azgomi, Mohammad Saber Mirzaei, Ali Movaghar
A New Extension Of Activity Networks For Modeling And Verification Of Timed Systems, Hassan Motallebi, Mohammad Abdollahi Azgomi, Mohammad Saber Mirzaei, Ali Movaghar
Turkish Journal of Electrical Engineering and Computer Sciences
Stochastic activity networks (SANs) are a well-known petri net-based formalism used for the performance and dependability modeling of a wide range of systems. On the other hand, the growing complexity of timed systems makes it imperative to apply formal analysis techniques in the early stages of the system's development. Finding a suitable framework for the modeling, evaluation, and verification of these systems is still a great challenge. In this paper, we introduce a new formalism named timed activity networks (TANs), which are based on the activity networks that are the nondeterministic settings of the SANs. The advantages of TANs are …
An Improved Back Projection Imaging Algorithm For Subsurface Target Detection, Wentai Lei, Sheng Zeng, Jian Zhao, Qianzhe Wang, Jianxin Liu
An Improved Back Projection Imaging Algorithm For Subsurface Target Detection, Wentai Lei, Sheng Zeng, Jian Zhao, Qianzhe Wang, Jianxin Liu
Turkish Journal of Electrical Engineering and Computer Sciences
An improved back projection imaging algorithm for subsurface target detection is presented in this paper. Firstly, the characteristic of the scattering data at each time-delay curve in the traditional back projection imaging procedure is analyzed. Secondly, a weight factor is designed for each focal point and an improved back projection imaging algorithm is presented. Thirdly, the simulation of the improved imaging algorithm is processed. The imaging results of both the simulation data and the real ground penetrating radar data show the effectiveness of this imaging algorithm.
Adaptive Detection Of Chaotic Oscillations In Ferroresonance Using Modified Extended Kalman Filter, Cengi̇z Polat Uzunoğlu, Mukden Uğur
Adaptive Detection Of Chaotic Oscillations In Ferroresonance Using Modified Extended Kalman Filter, Cengi̇z Polat Uzunoğlu, Mukden Uğur
Turkish Journal of Electrical Engineering and Computer Sciences
Power quality and power disturbances have become an important factor for power systems. Chaotic ferroresonance is one of the disturbances that may cause overvoltages and overcurrents; hence, it can endanger the system reliability and continuous safe operating. A power system that generates chaotic oscillations is a dynamic system, which can be modeled with a Duffing equation. This paper introduces the application of a modified extended Kalman filter for improving the detection of chaotic behavior of power system signals. A modification algorithm is used to increase the estimation performance of the former casual extended Kalman filter. The proposed method is employed …
Survey Of Power Quality In Turkish National Transmission Network, Celal Kocatepe, Bedri̇ Kekezoğlu, Altuğ Bozkurt, Recep Yumurtaci, Aslan İnan, Oktay Arikan, Mustafa Baysal, Yener Akkaya
Survey Of Power Quality In Turkish National Transmission Network, Celal Kocatepe, Bedri̇ Kekezoğlu, Altuğ Bozkurt, Recep Yumurtaci, Aslan İnan, Oktay Arikan, Mustafa Baysal, Yener Akkaya
Turkish Journal of Electrical Engineering and Computer Sciences
Harmonic distortion and flicker severity have become the main concerns in power transmission networks. Different types of harmonic and flicker sources exist in power systems, such as arc furnaces and cycloconverters. A power quality problem found in networks can cause additional temperature rise, losses, noise, and irritation in the lighting equipment. The aim of this study is to identify the level of harmonics and flicker in the 380-kV transmission network of Turkey. The measurement and analysis are performed using a specially developed power quality analyzer. The effects of harmonics and flicker on the network are discussed based on real measurement …
The Development Of A Hardware- And Software-Based Simulation Platform For The Training Of Driver Candidates, Abdullah Çavuşoğlu, İsmai̇l Kurnaz
The Development Of A Hardware- And Software-Based Simulation Platform For The Training Of Driver Candidates, Abdullah Çavuşoğlu, İsmai̇l Kurnaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a traffic simulation system (TSS) to provide novice driver candidates with opportunities for training and testing has been developed. Autonomous vehicles that follow the flow of traffic in a microsimulation environment were prepared using a hierarchical concurrent state machine. Autonomous vehicles are skilled and have behavioral aspects such as tracking the lanes, following the vehicles, complying with traffic rules, decelerating, accelerating, and intersection crossings. These driver behaviors are parameterized to allow the autonomous agents to act while disregarding the rules (i.e. aggressive behaviors) or behaving normally. The TSS is operated in 3 different modes, namely the orientation, …
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Turkish Journal of Electrical Engineering and Computer Sciences
The gravitational search algorithm (GSA) is a novel heuristic method inspired by Newton's gravity and velocity equations. In addition, it is a population-based algorithm, in which each member (called an agent) in the population has a mass, velocity, and acceleration. Beginning with the first population state, agents influence each other via mass and velocity relations. This mutual effect causes agents to reach the optimum. Hence, the performance of the GSA to attain the optimum is related to the initial population formation, like other population-based algorithms. In this study, the orthogonal array (OA) concept is applied and injected to the GSA …
A New Digital Image Steganography Algorithm Based On Visible Wavelength, İbrahi̇m Coşkun, Feyzi̇ Akar, Özdemi̇r Çeti̇n
A New Digital Image Steganography Algorithm Based On Visible Wavelength, İbrahi̇m Coşkun, Feyzi̇ Akar, Özdemi̇r Çeti̇n
Turkish Journal of Electrical Engineering and Computer Sciences
Stenography is the science that ensures secret communication through multimedia carriers such as image, audio, and video files. The ultimate end of stenography is to hide the secret data in the carrier file so that they are not detected. To that end, stenography applications should have such features as undetectability; robustness; resistance to various images process, sing methods, and compression; and capacity of the hidden data. At the same time, those features distinguish stenography applications from watermarking and cryptography applications. This study is different from other studies in the literature in that the undetectability parameter has been achieved through hiding …
Performance Analysis Of Bid Calculation Methods In Multirobot Market-Based Task Allocation, Burak Kaleci̇, Osman Parlaktuna
Performance Analysis Of Bid Calculation Methods In Multirobot Market-Based Task Allocation, Burak Kaleci̇, Osman Parlaktuna
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, the empirical results of a market-based task allocation method for heterogeneous and homogeneous robot teams and different types of tasks in 2 different environments are presented. The proposed method allocates robots to tasks through a parallel multiitem auction-based process. The main contribution of the proposed method is energy-based bid calculations, which take into account both the heterogeneity of the robot team and features of the tasks. The multirobot task allocation problem is considered as the optimal assignment problem and the Hungarian algorithm is used to clear the auctions. Simulations are carried out using energy-based, distance-based, and time-based …
Chaos Control Of Single Time-Scale Brushless Dc Motor With Sliding Mode Control Method, Yilmaz Uyaroğlu, Bariş Cevher
Chaos Control Of Single Time-Scale Brushless Dc Motor With Sliding Mode Control Method, Yilmaz Uyaroğlu, Bariş Cevher
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the sliding mode control (SMC) scheme of single time-scale brushless DC motor (BLDCM) is investigated. The SMC method consists of 2 sections. To simplify the directive of the stability of the controlled single time-scale BLDCM in the sliding mode, first a special type of PI switching surface is adopted. Second, the SMC controller is obtained to guarantee the occurrence of the PI switching surface. The effectiveness of the theoretical analysis is evaluated by numerical simulations. Thus, the numerical results are used to show the verification and trustworthiness of the proposed method.
A Word Spotting Method For Farsi Machine-Printed Document Images, Yaghoub Pourasad, Houshang Hassibi, Azam Ghorbani
A Word Spotting Method For Farsi Machine-Printed Document Images, Yaghoub Pourasad, Houshang Hassibi, Azam Ghorbani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a word spotting approach for Farsi printed document images has been presented. The main idea of the paper is the font recognition of Farsi document images and query word modification according to the document image's font before searching. This operation increases the similarity between the query word image and its instances in the document image; therefore, the performance of the word spotting system increases. In the proposed word spotting approach, after the query word modification, the query word image rectangle is searched in the text lines of the document image using XNOR similarity measurement. In order to …
A Blind Digital Signature Scheme Using Elliptic Curve Digital Signature Algorithm, İsmai̇l Bütün, Mehmet Demi̇rer
A Blind Digital Signature Scheme Using Elliptic Curve Digital Signature Algorithm, İsmai̇l Bütün, Mehmet Demi̇rer
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, we propose a blind digital signature (BDS) scheme based on the elliptic curve digital signature algorithm that increases the performance significantly. The security of our scheme is based on the difficulty of the elliptic curve discrete algorithm problem. Therefore, it offers much smaller key lengths for the desired security levels, along with much faster cryptographic processes, leading to fewer hardware and software requirements. According to our simulation results, the relative performance improvement of our proposed BDS scheme is up to 96% when compared with previously proposed schemes.