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Full-Text Articles in Physical Sciences and Mathematics

Design Of A Multiagent-Based Smart Microgrid System For Building Energy And Comfort Management, Batyrkhan Omarov, Aigerim Altayeva Jan 2018

Design Of A Multiagent-Based Smart Microgrid System For Building Energy And Comfort Management, Batyrkhan Omarov, Aigerim Altayeva

Turkish Journal of Electrical Engineering and Computer Sciences

Modern intelligent control system design methodology in the electric power industry and their features are considered when providing the required comfort in multizone buildings with the use of multiagent power consumption and comfort management systems. Such a control system covers all the monitored zones of a building and, if necessary, can provide the greatest possible overall comfort in the building while reducing the required electric power. The purpose of this study was to develop a comfort management system in a multizoned building that can provide comfort while reducing the required electric power.


A Novel Frt Strategy Based On An Analytical Approach For Pmsg-Based Wind Turbines With Ess Power Rating Reduction, Farid Atashbahar, Ali Ajami, Hossein Mokhtari, Hossein Hojabri Jan 2018

A Novel Frt Strategy Based On An Analytical Approach For Pmsg-Based Wind Turbines With Ess Power Rating Reduction, Farid Atashbahar, Ali Ajami, Hossein Mokhtari, Hossein Hojabri

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper an analytical approach is proposed to formulate the proper set of phase currents reference to ride the permanent magnet synchronous generator (PMSG)-based wind turbine (WT) through faults properly, regardless of fault type. Hence, the WT is forced to inject required reactive current by grid codes together with active power injection, to help support grid frequency during faults and reduce the energy storage system (ESS) power rating. Moreover, it prevents pulsating active power injection to the grid. During grid faults, the DC-link voltage is controlled by the ESS instead of the grid-side converter (GSC) and the GSC controller …


Design Of A Fractional Order Pid Controller With Application To An Induction Motor Drive, Ashraf Saleem, Hisham Soliman, Serein Al-Ratrout, Mostefa Mesbah Jan 2018

Design Of A Fractional Order Pid Controller With Application To An Induction Motor Drive, Ashraf Saleem, Hisham Soliman, Serein Al-Ratrout, Mostefa Mesbah

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a new method for designing a fractional-order proportional-integral-derivative (FO-PID) controller with an application to an induction motor drive is proposed. In the proposed method, the motor drive is modeled using an autoregressive with exogenous input (ARX) model whose parameters are experimentally identified using real I/O data. A genetic algorithm is then used to find the FO-PID parameters. To guarantee the robustness of the controller against load variations, minimax optimization is adopted. To validate the results, the proposed controller is applied to a real-life motor drive using a hardware-in-the-loop (HIL) simulator. The experimental results show that the proposed …


Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity, Aminollah Glorou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour Jan 2018

Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity, Aminollah Glorou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour

Turkish Journal of Electrical Engineering and Computer Sciences

In recent neuroimaging research, there has been considerable interest in identifying neuromarkers of sleep. Automatic slow wave sleep (SWS) and rapid eye movement (REM) are two known phases of sleep. However, the level by which those changes contribute to brain interactions has not been well characterized. In recent years, it has been shown that brain connectivity measuring can be helpful in investigation of behavioral states of the brain. By considering the fact that brains have different states in different stages of sleep, the present work employs effective connectivity and machine-learning analysis to quantify and classify SWS and REM stages of …


Sign Language Recognition With Multi Feature Fusion And Ann Classifier, Sunitha Ravi, Maloji Suman, Polurie Venkata Vijay Kishore, Kiran Kumar Eepuri Jan 2018

Sign Language Recognition With Multi Feature Fusion And Ann Classifier, Sunitha Ravi, Maloji Suman, Polurie Venkata Vijay Kishore, Kiran Kumar Eepuri

Turkish Journal of Electrical Engineering and Computer Sciences

Extracting and recognizing complex human movements such as sign language gestures from video sequences is a challenging task. In this paper this kind of a difficult problem is approached with Indian sign language (ISL) videos. A new segmentation algorithm is developed by fusion of features from discrete wavelet transform (DWT) and local binary pattern (LBP). A 2D point cloud is formed from fused features, which represent the local hand shapes in consecutive video frames. We validate the proposed feature extraction model with state of the art features such as HOG, SIFT and SURF for each sign video on the same …


Improved Method Of Heuristic Classification Of Vowels From An Acoustic Signal, Josef Krocil, Zdenek Machacek, Jiri Koziorek, Radek Martinek, Jan Nedoma, Marcel Fajkus Jan 2018

Improved Method Of Heuristic Classification Of Vowels From An Acoustic Signal, Josef Krocil, Zdenek Machacek, Jiri Koziorek, Radek Martinek, Jan Nedoma, Marcel Fajkus

Turkish Journal of Electrical Engineering and Computer Sciences

This paper describes research in the field of the improved methodology of the classification of vowels /a, a:/, /$\varepsilon$, $\varepsilon$:/, /ı, i:/, /o, o:/, and /u, u:/ (vowel symbols according to IPA, i.e. International Phonetic Alphabet). The aim is to develop an improved method enabling the automatic allocation of vowel symbols to the corresponding time segments of acoustic recordings of an undisturbed speech signal. The combined classification method is based on finding frequencies of the first two local maxims (formants) in a smoothed linear predictive amplitude spectrum (LPC, linear predictive coding) and zero-crossing values of each speech active voiced short-term …


Dynamic Liquid Level Detection Method Based On Resonant Frequency Difference For Oil Wells, Wei Zhou, Juan Liu, Liqun Gan Jan 2018

Dynamic Liquid Level Detection Method Based On Resonant Frequency Difference For Oil Wells, Wei Zhou, Juan Liu, Liqun Gan

Turkish Journal of Electrical Engineering and Computer Sciences

The dynamic liquid level of an oil well can be used to determine the oil production strategies and analyze the reservoir performance. Therefore, it is important to measure the dynamic liquid level in an oil field. This paper proposes a novel dynamic liquid level measurement method for oil wells, where the resonant frequency difference (RFD) of the resonant acoustic signal in annular is used to calculate the dynamic liquid level. To solve the noise interference problem in the resonant acoustic signal, a spectral fast Fourier transform (FFT) method based on Welch power spectrum is proposed to obtain the RFD. First, …


Path Loss Model For Indoor Emergency Stairwell Environment At Millimeter Wave Band For 5g Network, Ahmed Mohammed Alsamman, Tharek Abd Rahman, Mohd Nour Hindia, Jamal Nasir Jan 2018

Path Loss Model For Indoor Emergency Stairwell Environment At Millimeter Wave Band For 5g Network, Ahmed Mohammed Alsamman, Tharek Abd Rahman, Mohd Nour Hindia, Jamal Nasir

Turkish Journal of Electrical Engineering and Computer Sciences

The unused millimeter-wave (mmWave) spectrum offers a superb opportunity to increase mobile broadband capacity due to the enormous amount of available bandwidth. Different candidate operating frequencies for 5G wireless networks are available at the mmWave band. For 5G wireless networks, the emergency case is one of the applications. This paper presents the outcome of indoor emergency stairwell measurement campaigns for 5G system at 26 GHz, 28 GHz, 32 GHz, and 38 GHz, which were conducted at the University Technology Malaysia, Kuala Lumpur, Malaysia. To effectively evaluate the performance of 5G wireless systems in these different bands, single- and multifrequency path …


Improved Design Of Axial Flux Permanent Magnet Generator For Small-Scale Wind Turbine, Mojtaba Eldoromi, Sajjad Tohidi, Mohammad Reza Feyzi, Naghi Rostami, Reza Emadifar Jan 2018

Improved Design Of Axial Flux Permanent Magnet Generator For Small-Scale Wind Turbine, Mojtaba Eldoromi, Sajjad Tohidi, Mohammad Reza Feyzi, Naghi Rostami, Reza Emadifar

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, much attention has been given to axial flux permanent magnet generators due to some advantages such as high efficiency, high power density, and higher torque compared to radial flux generators. In addition, increased number of poles makes them appropriate for low-speed applications such as wind power generators. In this study, an axial flux permanent magnet synchronous generator with unique features such as high power density is designed for small-scale wind turbines. The structure of generator includes a rotor and a stator. The generator is designed and then analyzed by Flux 11.2 software. The analysis includes the effects of air …


Average Modeling And Evaluation Of 18-Pulse Autotransformer Rectifier Unit Without Interphase Transformers, Shahbaz Khan, Xiaobin Zhang, Husan Ali, Haider Zaman, Muhammad Saad, Bakht Muhammad Khan Jan 2018

Average Modeling And Evaluation Of 18-Pulse Autotransformer Rectifier Unit Without Interphase Transformers, Shahbaz Khan, Xiaobin Zhang, Husan Ali, Haider Zaman, Muhammad Saad, Bakht Muhammad Khan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an improved average model and evaluation of an 18-pulse autotransformer rectifier unit (ATRU) in differential delta configuration. Average models remove the switching behavior of diode rectifiers and high bandwidth transients, which not only facilitates simulation of power systems by reducing computational cost but also enables impedance-based stability analysis for large complex power systems. To experimentally validate the proposed average model, a 2-kW, 18-pulse ATRU has been tested and the results of the derived model are compared with those of the switching model and experimental prototype. Computed transfer function of load impedance from the proposed average model closely …


Influence Of Thyristor-Controlled Series Capacitor On Wheeling Cost Incorporating The Impact Of Real And Reactive Power Losses, Kranthi Kiran Irinjila, Jaya Laxmi Askani Jan 2018

Influence Of Thyristor-Controlled Series Capacitor On Wheeling Cost Incorporating The Impact Of Real And Reactive Power Losses, Kranthi Kiran Irinjila, Jaya Laxmi Askani

Turkish Journal of Electrical Engineering and Computer Sciences

Electric power transmission and transmission pricing are the key issues in the deregulated electric power industry. Factors like fast power demand growth, competition, service outage, and scarce natural resources make transmission systems operate close to their thermal limits. However, new transmission systems cannot be built in due to economic, environmental, and political reasons. For better utilization of existing power system capacities, the power electronic technology-based power system equipment called flexible alternating current transmission system (FACTS) devices like thyristor-controlled series compensators (TCSCs) can be effectively used for operating the transmission grid economically, rapidly, dynamically, and efficiently with increased flexibility and efficiency …


Estimation Of Speed, Armature Temperature, And Resistance In Brushed Dc Machines Using A Cfnn Based On Bfgs Bp, Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb, Carlo Cecati Jan 2018

Estimation Of Speed, Armature Temperature, And Resistance In Brushed Dc Machines Using A Cfnn Based On Bfgs Bp, Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb, Carlo Cecati

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a sensorless speed and armature resistance and temperature estimator for brushed (B) DC machines is proposed, based on a cascade-forward neural network and quasi-Newton BFGS backpropagation. Since we wish to avoid the use of a thermal sensor, a thermal model is needed to estimate the temperature of the BDC machine. Previous studies propose either nonintelligent estimators that depend on the model, such as the extended Kalman filter and Luenberger's observer, or estimators that do not estimate the speed, temperature, and resistance simultaneously. The proposed method has been verified both by simulation and by comparison with the simulation …


Constrained Multiobjective Pso And T-S Fuzzy Models For Predictive Control, Ali Thamallah, Anis Sakly, Faouzi M'Sahli Jan 2018

Constrained Multiobjective Pso And T-S Fuzzy Models For Predictive Control, Ali Thamallah, Anis Sakly, Faouzi M'Sahli

Turkish Journal of Electrical Engineering and Computer Sciences

Multiobjective optimization problems are still a challenging area in the field of control system engineering. In this context, the current study describes a new multivariable predictive control scheme formulated by using the T-S fuzzy modeling method and a new constrained multiobjective PSO algorithm. The T-S fuzzy modeling technique is applied to forecast the behaviors of the nonlinear system. It also aims at establishing some conditions so that the proposed control loop is asymptotically stable. The obtained experimental results show that the combination of the philosophy of the T-S fuzzy model and multiobjective PSO is very good in the controlling of …


Horizontal Diversity In Test Generation For High Fault Coverage, Arbab Alamgir, Abu Khari Bin A'Ain, Norlina Paraman, Usman Ullah Sheikh, Ian Grout Jan 2018

Horizontal Diversity In Test Generation For High Fault Coverage, Arbab Alamgir, Abu Khari Bin A'Ain, Norlina Paraman, Usman Ullah Sheikh, Ian Grout

Turkish Journal of Electrical Engineering and Computer Sciences

Determination of the most appropriate test set is critical for high fault coverage in testing of digital integrated circuits. Among black-box approaches, random testing is popular due to its simplicity and cost effectiveness. An extension to random testing is antirandom that improves fault detection by maximizing the distance of every subsequent test pattern from the set of previously applied test patterns. Antirandom testing uses total Hamming distance and total cartesian distance as distance metrics to maximize diversity in the testing sequence. However, the algorithm for the antirandom test set generation has two major issues. Firstly, there is no selection criteria …


Optimization Of Large Electric Power Distribution Using A Parallel Genetic Algorithm With Dandelion Strategy, Jorge Sabattin, Guillermo Fuertes, Miguel Alfaro, Luis Quezada, Manuel Vargas Jan 2018

Optimization Of Large Electric Power Distribution Using A Parallel Genetic Algorithm With Dandelion Strategy, Jorge Sabattin, Guillermo Fuertes, Miguel Alfaro, Luis Quezada, Manuel Vargas

Turkish Journal of Electrical Engineering and Computer Sciences

The study of electrical distribution of primary networks design is oriented to reduce the construction costs and the energy losses by transmission. The topology for the implementation of distribution networks may vary according to the geographical characteristics of the final users and requires specialized optimization solutions with metaheuristics to improve the energy performance of the electrical power systems. A parallel genetic algorithm (PGA) is proposed to optimize a tree-based topology for large-scale electric power distribution networks. The proposed PGA uses the dandelion code, which allows obtaining tree-feasible solutions within each iteration of the PGA. This cannot be achieved with other …


Fpga Implementation Of A Low-Power And Area-Efficient State-Table-Based Compression Algorithm For Dslr Cameras, Mohd Rafi Lone, Najeeb Ud Din Hakim Jan 2018

Fpga Implementation Of A Low-Power And Area-Efficient State-Table-Based Compression Algorithm For Dslr Cameras, Mohd Rafi Lone, Najeeb Ud Din Hakim

Turkish Journal of Electrical Engineering and Computer Sciences

Small image acquisition devices like digital single lens reflex (DSLR) cameras most commonly use Joint Photographic Expects Group (JPEG) coding standard for lossy compression. Although JPEG is a simple coding standard, its compression efficiency is very low as compared to any typical state-of-the-art image coding standards like set partitioning in hierarchical trees (SPIHT). In this paper, a novel state-table-based SPIHT (STS) algorithm and its field programmable gate array (FPGA) implementation is proposed. The STS uses two small state-tables and two extremely small lists. The STS not only provides better compression efficiency than the state-of-the-art JPEG 2000 at high bit rates …


Management Of A Hybrid Renewable Power Plant Supplying An Isolated Rural Load Within A Changing Environment, Hichem Azli, Mohamed Mostefai Jan 2018

Management Of A Hybrid Renewable Power Plant Supplying An Isolated Rural Load Within A Changing Environment, Hichem Azli, Mohamed Mostefai

Turkish Journal of Electrical Engineering and Computer Sciences

Often, authors deal with the sizing issue of hybrid power plants on horizons of several years. Proposed approaches are certainly essential to optimize energy costs. However, these solutions cannot remain optimal throughout the life cycle of the plant due to the inevitable evolution of the number of households, their consumption profiles, and possible degradation of a part of the plant. In this paper, an efficient management strategy of a sized hybrid renewable system is developed. It is based on the scheduling of the different resources of the plant. The main aim is to minimize the generated energy cost while ensuring …


Coordination Of Distance And Directional Overcurrent Relays Using A New Algorithm: Grey Wolf Optimizer, Zahra Moravej, Omid Soleimani Ooreh Jan 2018

Coordination Of Distance And Directional Overcurrent Relays Using A New Algorithm: Grey Wolf Optimizer, Zahra Moravej, Omid Soleimani Ooreh

Turkish Journal of Electrical Engineering and Computer Sciences

Optimal relay coordination has important effects on the stability, security, and reliability of a network. Hence, in this article, a method for optimal coordination of distance (D) and directional overcurrent (DOC) relays is presented. Taking into account the pickup current of the overcurrent relays as an optimization variable, in addition to the time setting multiplier (TSM) and the various characteristics of these relays, optimum and suitable settings for overcurrent and distance relays are obtained. The grey wolf optimizer algorithm has been used as an optimization tool to find optimum settings. The performance of this method has been investigated in 8-bus …


A Model-Based Transformation Framework For Designing And Analyzing Wireless Sensor Networks, Raoudha Saida, Yessine Hadj Kacem, Mohammed Sulaiman Bensaleh, Mohamed Abid Jan 2018

A Model-Based Transformation Framework For Designing And Analyzing Wireless Sensor Networks, Raoudha Saida, Yessine Hadj Kacem, Mohammed Sulaiman Bensaleh, Mohamed Abid

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks (WSNs) comprise resource-constrained (e.g., memory, processing, and energy) sensor nodes that are deployed in different areas and are able to monitor environmental conditions. Simulation has been widely used in order to evaluate the network performance. In this context, software designers need to evaluate, refine, and validate high-level models for WSN applications at early stages of development via simulation tools, in particular for WSN applications supporting energy-harvesting devices. In the present paper, we propose a model-based transformation framework that allows the modeling and simulation of a WSN system supporting energy-harvesting capabilities. In this proposal, we start from a …


Real-Time Chaff Generation For A Biometric Fuzzy Vault, Manvjeet Kaur, Sanjeev Sofat Jan 2018

Real-Time Chaff Generation For A Biometric Fuzzy Vault, Manvjeet Kaur, Sanjeev Sofat

Turkish Journal of Electrical Engineering and Computer Sciences

Biometric technology is rapidly being adopted in wide variety of security applications. However, the system itself is not completely foolproof and is vulnerable to many attacks. Some of the attacks on the biometric system are very severe, one of which is the attack on template security. In spite of the various template security techniques presented in the literature, none of them is able to provide security, diversity, revocability, and good performance simultaneously to the biometric system. Fuzzy vault is one of the most promising bio-cryptographic techniques to prevent the template data from being misused. To make the fuzzy vault practically …


A Strategy For Improving Netclust Server Placement For Multicloud Environments, Yuting Zhao, Jinhong Liu, Qing Fang, Lifang Xu, Changlai Du, Yuan Xiaoqun Jan 2018

A Strategy For Improving Netclust Server Placement For Multicloud Environments, Yuting Zhao, Jinhong Liu, Qing Fang, Lifang Xu, Changlai Du, Yuan Xiaoqun

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we propose a fast server placement algorithm to improve the NetClust framework and make it more efficient and exible. To this end, we introduce hierarchical clustering technologies to the NetClust framework and propose a exible server placement algorithm, which integrates the agglomerative and divisive clustering technologies to reduce the time complexity and avoid the performance uctuation affected by the initial node selection. The experiment results show that our server placement algorithm may reduce the time complexity of server selection of NetClust significantly and improve the exibility and applicability of the NetClust.


An Efficient Algorithm To Decompose A Compound Rectilinear Shape Into Simplerectilinear Shapes, Imran Sharif, Debasis Chaudhuri, Naveen Kushwaha, Ashok Samal, Brij Mohan Singh Jan 2018

An Efficient Algorithm To Decompose A Compound Rectilinear Shape Into Simplerectilinear Shapes, Imran Sharif, Debasis Chaudhuri, Naveen Kushwaha, Ashok Samal, Brij Mohan Singh

Turkish Journal of Electrical Engineering and Computer Sciences

Detection of a compound object is a critical problem in target recognition. For example, buildings form an important class of shapes whose recognition is important in many remote sensing based applications. Due to the coarse resolution of imaging sensors, adjacent buildings in the scenes appear as a single compound shape object. These compound objects can be represented as the union of a set of disjoint rectilinear shaped objects. Separating the individual buildings from the resulting compound objects in a segmented image is often difficult but important nevertheless. In this paper we propose a new and efficient technique to decompose a …


Novel Representations For A Coherent Threshold Reliability System: A Tale Of Eightsignal Ow Graphs, Ali Muhammad Rushdi, Alaa Mohammad Alturki Jan 2018

Novel Representations For A Coherent Threshold Reliability System: A Tale Of Eightsignal Ow Graphs, Ali Muhammad Rushdi, Alaa Mohammad Alturki

Turkish Journal of Electrical Engineering and Computer Sciences

A threshold system is a reliability system whose success/failure is a threshold switching function in the successes/failures of its components. A coherent system (CS) is one that is causal, monotone, and with relevant components. The coherent threshold system (CTS), typically called the weighted k-out-of-n system, is consequently described by strictly positive weights and threshold. This paper presents recursive relations as well as boundary conditions for eight entities pertaining to a CTS. These are (a) expressions of monoform literals as well as disjoint or probability- ready expressions for either system success or failure, and (b) all-additive formulas as well as inclusion-exclusion …


Analysis Of Ground Return Impedance Calculation Methods For Modeling Ofunderground Cables For Lightning Studies, Meli̇h Güneri̇, Bora Alboyaci Jan 2018

Analysis Of Ground Return Impedance Calculation Methods For Modeling Ofunderground Cables For Lightning Studies, Meli̇h Güneri̇, Bora Alboyaci

Turkish Journal of Electrical Engineering and Computer Sciences

Analysis of lightning transients in cable systems necessitates accurate calculation of ground return impedances (GRIs) in high-frequency regions. EMT-type programs used for transient analyses incorporate various methods for calculation of GRI. Most of these methods include assumptions and approximations, the validity of which needs to be questioned at high frequencies. In particular, the common approximation of the neglecting effect of displacement currents should be reviewed. The purpose of this paper is to evaluate commonly used GRI calculation methods in terms of their accuracy and validity in high-frequency regions. In this study, GRI calculation methods are analyzed and compared, the effect …


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 …


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. …


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 …


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 …


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 …


Transient- And Probabilistic Neural Network-Based Fault Classification In Ehv Three-Terminal Lines, Ravi Kumar Varma Bhupatiraju, Venkata Sesha Samba Siva Sarma Dhanikonda, Venkata Ramana Rao Pulipaka Jan 2018

Transient- And Probabilistic Neural Network-Based Fault Classification In Ehv Three-Terminal Lines, Ravi Kumar Varma Bhupatiraju, Venkata Sesha Samba Siva Sarma Dhanikonda, Venkata Ramana Rao Pulipaka

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a fast and accurate fault classifier for three-terminal transmission circuits. Traditional phasor-based methods fail to meet the high speed requirements of modern power grids and necessitate alternative solutions. The transient-based schemes use advanced signal processing techniques to achieve fast and accurate fault classification. As the three-terminal lines experience very pronounced transients during faults, the proposed method makes use of the fault-generated transients to quickly and correctly classify the fault. Many transient-based schemes fail to give the required accuracy since the transient patterns with relay-measured signals are highly influenced by fault conditions. Therefore, a thorough analysis of transient …