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  Subjects -> ELECTRONICS (Total: 175 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 7)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 5)
Advances in Electronics     Open Access   (Followers: 76)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Power Electronics     Open Access   (Followers: 33)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 305)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 24)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 13)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 44)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 253)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 104)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 85)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 91)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 50)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 2)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 185)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 96)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 77)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 65)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 69)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 55)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 39)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 70)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 11)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 45)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 57)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 24)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 12)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 14)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 12)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 10)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 23)
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 7)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 162)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 7)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 9)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal  
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 28)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 18)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 33)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal  
Networks: an International Journal     Hybrid Journal   (Followers: 6)
Open Journal of Antennas and Propagation     Open Access   (Followers: 8)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 53)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 75)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Journal Cover
Electrica
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2619-9831
Published by İstanbul Üniversitesi Homepage  [32 journals]
  • Prefrontal Brain Activation in Subtypes of Attention Deficit Hyperactivity
           Disorder: A Functional Near-Infrared Spectroscopy Study

    • Authors: Miray Altınkaynak; Ayşegül Güven, Nazan Dolu, Meltem İzzetoğlu, Esra Demirci, Sevgi Özmen, Ferhat Pektaş
      Abstract:
      DOI : 10.26650/electrica.2018.99730Accordingto clinical symptoms, attention deficit and hyperactivity disorder (ADHD) iscategorized into three groups: the predominantly inattentive subtype (ADHD-I),the predominantly hyperactive-impulsive subtype (ADHD-HI), and the combinedsubtype (ADHD-C). Recent advances in neuroimaging have demonstrated newapproaches for assessing the ADHD subtypes with underlying pathophysiology.This study aims to examine the hemodynamic response and reaction time (RT) inhealthy children and the ADHD subtypes as measured by functional near-infraredspectroscopy (fNIRS) during an auditory oddball attention task. The sample wasmade up of 40 children divided into four groups: control group (n=14), ADHD-Igroup (n=9), ADHD-HI group (n=6), and ADHD-C group (n=11). The target responseswere identified and were grand-averaged for each participant. Right prefrontalcortex hemodynamic responses and groups performances on RT were comparedbetween subtypes and between controls and subtypes. Functional near-infraredspectroscopy indicated that while control subjects exhibited higher activationthan all ADHD subtypes, the ADHD subtypes did not differ from one another.Relative to control subjects, a longer RT was observed in all ADHD subtypes.The ADHD-I group showed significantly longer RTs compared to the ADHD-HI andADHD-C groups. This study can bring a new perspective to the continuingcontroversy about ADHD subtypes, and the findings may help in the evaluation offNIRS, RT, and RT variability studies in ADHD.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Cloning of Presenilin 2 cDNA and Construction of Vectors Carrying
           Effective Mutations in the Pathogenesis of Familial Alzheimer's
           Disease

    • Authors: Gözde Öztan; Baki Yokeş, Halim İşsever
      Abstract:
      DOI :10.26650/electrica.2018.12050Alzheimer'sdisease (AD) is a neurodegenerative disease and is identified by the detectionof amyloid-plaques and neurofibrillary tangles in the brain. Amyloid precursorprotein gene, presenilin 1 (PSEN1) gene, and presenilin 2 (PSEN2) gene areresponsible for this disease. PSEN2 and amyloid precursor protein (APP) genemutations are a much rarer cause of familial AD patients. This study aims toclone the PSEN2 gene and create vectors with different mutations by directedmutagenesis. As a result of the experiments, the PSEN2 cDNA was cloned betweenthe BamHI and KpnI cut-off points of the pBluescript II sk (+) vector. PSEN1and PSEN2 homologs have a role in cell destiny decision and AD progress. We studiedsome of the PSEN2 mutations (Ala252Thr and Pro334Arg) and provided expressionanalysis in eukaryotic cell cultures. Amyloid β-protein (Aβ), which is producedby endoproteolytic cleavage of the APP, is considered to play a role in AD.While nominal concentration of Aβ40 is 10 times of Aβ42, the last peptide isfirmly linked to AD pathogenesis. Amyloid β-protein is generated by theγ-secretase cleavage of APP onset and the progression of AD, and it is theprimary ingredient of the senile plaques. The Aβ42 dodecamer plays a centralrole in AD. In future studies, it will be determined if there is an increase inAβ42 protein levels, and the effect on this early onset AD can be identified.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Noise-Assisted Multivariate Empirical Mode Decomposition Based Emotion
           Recognition

    • Authors: Pınar Özel; Aydın Akan, Bülent Yılmaz
      Abstract:
      DOI : 10.26650/electrica.2018.00998Emotion state detection or emotionrecognition cuts across different disciplines because of the many parametersthat embrace the brain's complex neural structure, signal processing methods,and pattern recognition algorithms. Currently, in addition to classicaltime-frequency methods, emotional state data have been processed viadata-driven methods such as empirical mode decomposition (EMD). Despite itsvarious benefits, EMD has several drawbacks: it is intended for univariatedata; it is prone to mode mixing; and the number of local extrema must beenough before the EMD process can begin. To overcome these problems, this studyemploys a multivariate EMD and its noise-assisted version in the emotionalstate classification of electroencephalogram signals.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Dynamic Threshold Selection Approach in Voting Rule for Detection of
           Primary User Emulation Attack

    • Authors: Abbas Ali Sharifi; Mohammad Mofarreh-Bonab
      Abstract:
      DOI :10.5152/iujeee.2018.1819Cognitiveradio (CR) technology presents a mechanism for efficient spectrum usage.Spectrum sensing is an essential CR function which includes an intelligentsignal processing algorithm to identify the vacant frequency bands. Cooperativespectrum sensing (CSS) has been widely adopted to improve the performance of CRnetworks. Unfortunately, CR networks are vulnerable to security threats. Inthis study, we propose an optimal threshold selection approach to address oneof the most important attacks called primary user emulation attack (PUEA). InPUEA, a malicious attacker mimics some important primary signal features anddeceives CR sensors to prevent them from accessing the available channels. Inthis study, we assume a malicious PUEA which is relatively located near thepotential user (PU) transmitter and senses the spectrum and accurately detectsthe vacant frequency bands to transmit its fake signal. We estimate attackstrength and then apply the K-out-of-N rule to obtain an optimum and dynamicthreshold K, minimizing the global error probability. Here, the attack strengthis defined as the ratio of the average transmission power of the PUEA to theaverage power of the PU. The achieved simulation results indicate that theperformance of the suggested method is satisfactory in detecting the maliciousPUEA compared with conventional methods.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Probabilistic Placement of Wind Turbines in Distribution Networks

    • Authors: Tohid Sattarpour; Mohammad Sheikhi, Sajjad Golshannavaz, Daryoush Nazarpour
      Abstract:
      DOI : 10.26650/electrica.2018.001This study presents an efficient approach for determining the optimal locations of wind turbines (WTs) in distribution systems, which considers the existing uncertainties in the power generation of WTs and the load demand of consumers. The daily load profiles of the seasonal and geographical-dependent behaviors of WTs are also considered. The proposed probabilistic approach is based on scenario tree modeling, and each scenario is assessed in regard to power loss minimization. Then, the TOPSIS (technique for order preference by similarity to an ideal solution) method is adopted to regulate the optimal placement of WTs considering the average value and the standard deviation of active power losses as possible attributes. This approach enables a multi-attribute analysis of the search space to yield a more efficient solution. Detailed simulation studies, conducted on IEEE 33-bus test system, are utilized to examine the effectiveness of the proposed method. The results of this study are discussed in depth.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Modeling and Control of an Offshore Wind Farm connected to Main Grid with
           High Voltage Direct Current Transmission

    • Authors: Ahmet Mete Vural; Auwalu İbrahim İsmail
      Abstract:
      DOI : 10.26650/electrica.2018.73966Offshore wind farms inherently need alternating current (AC) grid connection with undersea cables. However, this requires reactive power compensation, which is costly and not practical. Moreover, it threads the stability of the system. For these reasons, high voltage direct current (HVDC) transmission is a promising solution since no reactive power is needed. Furthermore, the DC power flow between offshore and onshore locations as well as the reactive power at either side can easily be controlled by voltage source converters (VSCs). In this paper, the modeling and control of an offshore wind farm connected to the mainland grid power with HVDC transmission is proposed. A control strategy is proposed to control active and reactive power at the offshore wind farm converter and DC voltage at the onshore converter. The overall system, including wind farm, offshore and onshore converters, HVDC transmission, and AC grid side, were tested and verified in a simulation environment. The designed control systems of the VSCs were tested by various case studies.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Exudates Detection in Diabetic Retinopathy by Two Different Image
           Processing Techniques

    • Authors: Sara S. Aldeeb; Selçuk Sevgen
      Abstract:
      DOI : 10.5152/iujeee.2018.1822Different techniques developed in theprevious decades are used for blood vessel detection. Different kinds of imageprocessing approaches in the detection and analysis of blood vessels can beapplied to diagnose many human diseases and help in various medical and healthdiagnoses. Image processing for blood vessels could be used in areas such asdisease diagnosis, severity measurement of specific diseases, and in biometricsecurity.This study compares two differenttechniques to accurately diagnose a specific disease according to someselective features. Diabetic retinopathy is used for this comparative study asit is one of the most severe eye disorders and chronic diseases to causeblindness. Classifications and accurate measurements for blood vesselabnormalities (exudates, hemorrhages, and micro-aneurysms) enabled the correctand accurate diagnosis in retina and diabetic retinopathy. To avoid blindness,it is essential to utilize fundus image processing application to facilitatethe early discovery of a diseased retinal. Throughout the fundus automatedimage process, the retinal features are extracted. The techniques applied inthis study are a morphological-based image processing technique and an edgedetection technique using Kirsch’s template. First, the application of theseimage processing techniques are described and explained in detail.Subsequently, a classification process is proposed to assess and evaluate theperformance of each technique.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Hybrid Micro-Ring Resonator Hydrogen Sensor Based on Intensity Detection

    • Authors: Kenan Çiçek
      Abstract:
      DOI : 10.26650/electrica.2018.56722 In this paper, a photonic integrated device fabricated on a silicon-on-insulator (SOI) platform is studied numerically to investigate its hydrogen sensing potential based on intensity variations. A single-slot hybrid structure consisting of a coaxial micro-ring resonator (MRR) and a palladium (Pd) disk is utilized for this purpose. The results of the numerical study reveal a hydrogen sensing ability of 2.83×10-4/(v/v-% hydrogen) and limit of detection (LOD) of 9.93×10-3 which is more than 10 times of that of the hydrogen sensors based on the traditional resonance shift. The proposed hydrogen sensing technique presents a compatible SOI-based technology and also provides a reliable detection of the slightest changes from the zero concentration in an analytical procedure.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • A Circuit Model-Based Analysis of Magnetically Coupled Resonant Loops in
           Wireless Power Transfer Systems

    • Authors: Seyit Ahmet Sis
      Abstract:
      DOI : 10.26650/electrica.2018.55345Magnetically coupled resonant loops can be represented by a lumped element circuit model. Each parameter in the lumped element model can be expressed as a function of loop geometry and the separation between the loops; therefore, the geometry can be systematically changed, and the power transfer efficiency of the coupled loops can be predicted. This paper presents a simulation-based efficiency analysis for wireless power transfer systems utilizing magnetically coupled resonant loops. The behavior of power transfer efficiency is studied for various loop geometry parameters, and the simulation results are presented in detail. These results clearly show that there is a trade-off between peak efficiency and critical coupling distance, both of which depend on the loop size, frequency of operation, and source-load impedances. To verify the accuracy model, two identical circular loops are fabricated and measured, and the measurement results agree well with the model. 
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Generalised Model of Multiphase Tesla’s Egg of Columbus and Practical
           Analysis of 3-Phase Design

    • Authors: Atamer Gezer; Mehmet Onur Gülbahçe, Derya Ahmet KOCABAS
      Abstract:
      DOI :10.5152/iujeee.2018.1824“Tesla’s Egg of Columbus” is the project of Nikola Teslathat proved the existence of rotating field produced by two-phase AC winding in1893. Here in this study, generalised mathematical magnetic field model form-phase “Tesla’s Egg of Columbus” is established with its details. 3-phasemodel of “Tesla’s Egg of Columbus” that is non-existing in the literature isdesigned analytically by means of generalised expressions. Electrical andgeometric quantities are calculated and the system is analysed by Finite ElementsAnalysis (FEA). The designed system is manufactured and tested at rated currentfor constant and variable frequency with eggs made of different materials.Optimised frequency for materials and geometries are obtained and compared.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • New Optimization Algorithms for Application to Environmental Economic Load
           Dispatch in Power Systems

    • Authors: Özge Pınar Akkaş; Ertuğrul Çam, İbrahim Eke, Yağmur Arikan
      Abstract:
      DOI : 10.5152/iujeee.2018.1825The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally. However, economical dispatch can no longer be considered alone because of environmental problems that are derived from emissions such as nitrogen oxide, carbon dioxide, and sulfur dioxide. In this study, the problem of environmental economic load dispatch (EELD) in a power system of six generators is addressed both by neglecting and including line transmission losses using a modified genetic algorithm and a modified artificial bee colony optimization method. The results of these modified algorithms are compared with those of the unmodified versions. The results demonstrate that the proposed new methods have better economic and environmental distribution performances. Accordingly, it can be concluded that the new methods are more effective and should be adopted.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Field Programmable Gate Arrays Based Real Time Robot Arm Inverse Kinematic
           Calculations and Visual Servoing

    • Authors: Barış Çelik; Ayça Ak, Vedat Topuz
      Abstract:
      DOI : 10.26650/electrica.2018.49877Reliability and precision are very important in space, medical, and industrial robot control applications. Recently, researchers have tried to increase the reliability and precision of the robot control implementations. High precision calculation of inverse kinematic, color based object recognition, and parallel robot control based on field programmable gate arrays (FPGA) are combined in the proposed system. The precision of the inverse kinematic solution is improved using the coordinate rotation digital computer (CORDIC) algorithm based on double precision floating point number format. Red, green, and blue (RGB) color space is converted to hue saturation value (HSV) color space, which is more convenient for recognizing the object in different illuminations. Moreover, to realize a smooth operation of the robot arm, a parallel pulse width modulation (PWM) generator is designed. All applications are simulated, synthesized, and loaded in a single FPGA chip, so that the reliability requirement is met. The proposed method was tested with different objects, and the results prove that the proposed inverse kinematic calculations have high precision and the color based object recognition is quite successful in finding coordinates of the objects. 
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • ECEbuntu - An Innovative and Multi-Purpose Educational Operating System
           for Electrical and Computer Engineering Undergraduate Courses

    • Authors: Bilal Wajid; Ali Rıza Ekti, Mustafa Kamal AlShawaqfeh
      Abstract:
      DOI :10.5152/iujeee.2018.1820ECEbuntu is a free, easily distributable,customized operating system based on Ubuntu 12.04 long term support (LTS)designed for electrical/electronic and computer engineering (ECE) students.ECEbuntu is aimed at universities and students as it represents a cohesiveenvironment integrating more than 30 pre-installed software and packages allcatering to undergraduate coursework offered in ECE and Computer Science (CS)programs. ECEbuntu supports a wide range of tools for programming, circuitanalysis, printed circuit board design, mathematical and numerical analysis,network analysis, and RF and microwave transmitter design. ECEbuntu is free andeffective alternative to the existing costly and copyrighted software packages.ECEbuntu attempts to reduce the duplication of efforts on building softwareworkstations in laboratories and is intended to serve as a good teachingresource in a classroom setting.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Investigation of The Effects of Eccentricity on Induction Motor via
           Multi-Resolution Wavelet Analysis

    • Authors: Abdullah Polat; Abdurrahman Yılmaz, Lale T. Ergene
      Abstract:
      DOI : 10.5152/iujeee.2018.1821 Inthis paper, a 2.2 kW squirrel cage induction motor having different degrees ofstatic eccentricity is analyzed for fault detection using multi-resolutionwavelet analysis (MRWA). The reference squirrel cage induction motor wassimulated by using finite element method (FEM) and verified with the testresults for the reference. Multi-resolution wavelet analysis was applied todecompose the high frequency components of flux density and current of theinduction motor with different levels of eccenctricity. The effects of thesecomponents on the torque and vibration characteristics were also examined. Theresults show that MRWA could be a good alternative to fast fourier transform(FFT) in detecting air gap eccentricity in motors.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Neural Network Based Classification of Melanocytic Lesions in Dermoscopy:
           Role of Input Vector Encoding

    • Authors: Gökhan Ertaş
      Abstract:
      DOI : 10.26650/electrica.2018.97856Melanocytic lesions are the main cause ofdeath from skin cancer, and early diagnosis is the key to decreasing themortality rate. This study assesses the role of input-vector encoding in neuralnetwork-based classification of melanocytic lesions in dermoscopy. Twelvedermoscopic measures from 200 melanocytic lesions are encoded by compactencoding, adrenocortical dysplasia (ACD) encoding, 1-of-N encoding, normalizedencoding, and raw encoding, resulting in five different input-vector sets.Feed-forward neural networks with one hidden layer and one output layer aredesigned with several neurons in the hidden layer, ranging from two totwenty-two for each type of input-vector set, to classify a melanocytic lesioninto common nevus, atypical nevus, and melanoma. Accordingly, 105 networks aredesigned and trained using supervised learning and then tested by performing a 10-foldcross validation. All the neural networks achieve high sensitivities,specificities, and accuracies in classification. However, the network withseven neurons in the hidden layer and raw encoded dermoscopic measures as theinput vector realizes the highest sensitivity (97.0%), specificity (98.1%), andaccuracy (98.0%). The practical use of the network can facilitate lesionclassification by retaining the needed expertise and minimizing diagnosticvariability among dermatologists.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting
           Pulses

    • Authors: Gökhan Demirkıran; Güleser Kalaycı Demir, Cüneyt Güzeliş
      Abstract:
      DOI : 10.26650/electrica.2018.02664From a system theory perspective, p53network dynamics is interesting since it can exhibit three dynamical modes ofp53, namely low-level equilibrium, oscillation, and high-level equilibrium.Each of these modes are associated with different cell fate outcomes: cellsurvival, cell cycle arrest, and apoptosis. The literature reveals that a highlevel (apoptosis) is seen only after ending the oscillation phase, so calledtwo-phase dynamics, which provides the decision of apoptosis depending on theoscillation duration. This paper proposes that a negative feedback can keeptime by counting the pulses of oscillation to take the decision of apoptosis orcell survival. P53DINP1, which is the mediator of this feedback, is added as avariable to a 2-D oscillator model of the p53 network. The resulting canonical3-D model successfully replicates the two-phase dynamics. That is, it possessestemporary oscillatory behavior, in which first oscillations (first phase) andthen high level state (second phase) are observed. By introducing a newvariable to the core oscillator in the p53 network, this study demonstratesthat p53 network can be considered a modular structure, which consists of anoscillator and other variables that control this oscillator to contribute tocell fate determination.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • A Self-Tuning PID Control Method for Multi-Input-Multi-Output Nonlinear
           Systems

    • Authors: Barış Bıdıklı
      Abstract:
      DOI : 10.26650/electrica.2018.79181In this study, an artificial neural network (ANN) model-based self-tuning PID control method is proposed for the control of multi-input-multi-output (MIMO) nonlinear systems. A single layer, feed-forward ANN structure is trained via input and output data randomly collected from the system and classified as learning, test, and validation data to obtain the system model. The obtained model is utilized in an adaptive PID control scheme in conjunction with two different optimization methods for PID tuning and control. Using this scheme, PID parameters can be tuned to their optimum values and the system can be controlled simultaneously. The performance of the proposed method is demonstrated via experimental studies. 
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Design of Micro-Transformer in Monolithic Technology for High Frequencies
           Fly-back Type Converters

    • Authors: Abdeldjebbar Abdelkader; Hamid Azzedine
      Abstract:
      DOI : 10.26650/electrica.2018.96182This article describes the design of amicro-transformer in monolithic technology for high frequencies comprisingplanar type coil and a magnetic circuit made of several layers of materials.This micro-transformer is integrated into a micro-converter of fly-back type.The Mohan method was used to determine the geometric parameters and theS-parameters were used to calculate technological parameters. The study ofelectromagnetic effects allowed us to show the role of ferrite, which is usedto confine the magnetic field lines and minimize disruption of the neighbor ship.To validate the dimensioning of the geometrical and technological parameters,with the help of the software PSIM6.0, we simulated the equivalent electricalcircuit of the converter containing the electrical circuit of the dimensionedplanar micro-transformer
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Cognitive AF Relay Networks over Asymmetric Shadowing/Fading Channels in
           the Presence of Low-Rate Feedback

    • Authors: Eylem Erdoğan
      Abstract:
      DOI : 10.26650/electrica.2018.65047This study investigates the performance of a cognitive amplify-and-forward (AF) relay network over composite asymmetric multipath/shadowing fading channels, whereby a new power allocation method is adopted at the secondary source and relay, assuming the mean-value interference channel. To quantify the performance of the proposed structure, closed-form outage probability and ergodic capacity expressions are derived. Moreover, asymptotic ergodic capacity analysis is performed to observe the effects of limited feedback and fading/shadowing severity in the system. The analytical results are validated with Monte-Carlo simulations, and they show that the proposed structure can be a realistic scenario for next-generation wireless systems, and a system designer can test the overall performance of the proposed system without dealing with complex prototypes.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

    • Authors: Can Uysal; Tansu Filik
      Abstract:
      DOI : 10.26650/electrica.2018.03405Continuous monitoring of respiratory rate (cycle) during sleep for diseases such as sleep apnea and sudden infant death syndrome (SIDS) can be lifesaving. Wireless radio communications signals are everywhere and can be harnessed for contactless monitoring of the respiratory rates. The amplitude of the received signal strength changes periodically depending on the exhalation and inhalation of the subject. In this paper, subspace-based multiple signal classification (MUSIC) algorithm is applied to estimate the respiratory rate for better results. The proposed method and the other power spectral density (PSD) methods for respiratory estimations are compared with the real laboratory measurements. It is demonstrated that the proposed method estimates the respiratory rate with high accuracy and outperforms the other PSD-based methods which are commonly used in the literature.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Examination of Wind Effect On Adss Cables Aging Test

    • Authors: İbrahim Güneş
      Abstract:
      DOI : 10.5152/iujeee.2018.1818ADSS (All dielectric self supporting) cables are generally installed on high voltage transmission lines and  mostly used under different environmental effects, such as temperature, wind, UV radiation, etc. In this study, wind affect on ADSS cables was investigated by using dry band arcing (IEEE 1222 Electrical surface degradation) test method. A wind source was implemented to the test setup to evaluate the performance of PE (Poly-ethylene) cable jacket on ADSS cable under different wind speeds. Test results indicate that life time of  the ADSS cable decreases while the wind speed is increasing.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Chronic Kidney Disease Prediction with Reduced Individual Classifiers

    • Authors: Merve Doğruyol Başar; Aydın Akan
      Abstract:
      DOI : 10.26650/electrica.2018.99255Chronic kidney disease is a rising health problem and involves conditions that decrease the efficiency of renal functions and that damage the kidneys. Chronic kidney disease may be detected with several classification techniques, and these have been classified using various features and classifier combinations. In this study, we applied seven different classifiers (Naïve Bayes, HoeffdingTree, RandomTree, REPTree, Random Subspaces, Adaboost, and IBk) for the diagnosis of chronic kidney disease. The classification performances are evaluated with five different performance metrics, i.e., accuracy, kappa, mean absolute error (MAE), root mean square error (RMSE), and F measures. Considering the classification performance analyses of these methods, six reduced features provide a better and more rapid classification performance. Seven individual classifiers are applied to the six features and the best results are obtained using individual random tree and IBk classifiers.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Design of a New Non-Singular Robust Control Using Synergetic Theory for
           DC-DC Buck Converter

    • Authors: Yakoub Nettari; Serkan Kurt
      Abstract:
      DOI : 10.26650/electrica.2018.03052DC-DC converters control has gained muchattention because of their broad uses in various fields, ranging from hand-heldcalculators to sophisticated airborne vehicles. Robustness in control systems,in spite of parametric variations, is an absolute requirement in many such applications.We propose a new controller to realize a robust performance despite theuncertainties on system parameter values. The controller employs an adaptivenon-singular finite-time synergetic control method to tackle disturbances,which enhances the robustness and enables better performance during thetransient phase compared to the terminal sliding mode control. A finite-timeconvergence is therefore achieved, while Lyapunov synthesis guaranteesstability. Extensive simulation results of the DC-DC converter under harshoperating conditions confirm the effectiveness of the proposed controller.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Load Profile-Based Power Loss Estimation for Distribution Networks

    • Authors: Nassim Iqteit; Ayşen Basa Arsoy, Bekir Çakır
      Abstract:
      DOI : 10.26650/electrica.2018.02248In this paper, simple approximate formulasare established to estimate active and reactive power losses in distributionnetworks. The developed formulas based on load profiles are derived fromElgerd’s power loss formulas. A simple model is also proposed to estimate theload profile while considering several parameters, such as the average loaddemand and the load limitations. Derivation of the load model and the lossformulas are presented along with their applications on two distributionnetworks. The results show that the loss formulas, which depend on the proposedload profile, can estimate the power losses in distribution networks with highprecision.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
  • Reducing Processing Time for Histogram PMHT Algorithm in Video Object
           Tracking

    • Authors: Ahmet Güngör Pakfiliz
      Abstract:
      DOI : 10.26650/electrica.2018.36247This paper describes a novel approach for reducing the processing time of the histogram probabilistic multi-hypothesis tracker (H-PMHT) algorithm in video applications. Video data of flying vehicles is taken from surface to air, and a temporal difference-based technique is applied to video frames for meeting the intensity demands of H-PMHT algorithm. This technique also enables discrimination between objects and eliminates clutter. Variations between the structures of the standard and the improved version of H-PMHT algorithms are described. In addition, the improved H-PMPT is compared with the standard H-PMHT and another approved tracking algorithm to evaluate the performance and processing time reduction ratings.
      PubDate: Fri, 03 Aug 2018 00:00:00 +030
       
 
 
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