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Articles 2191 - 2220 of 5279
Full-Text Articles in Computer Sciences
Adaptive Bit-Plane Selection-Based Low Complexity Motion Estimation For Screen Content Coding, Ramazan Duvar, Oğuzhan Urhan
Adaptive Bit-Plane Selection-Based Low Complexity Motion Estimation For Screen Content Coding, Ramazan Duvar, Oğuzhan Urhan
Turkish Journal of Electrical Engineering and Computer Sciences
Screen content video coding has become an emerging research topic with the spread of applications such as cloud gaming, screen/desktop virtualization, and mobile or external display interfacing. Screen content videos have different features compared to conventional camcorder-captured scenes. In this work, a novel low bit-depth representation-based motion estimation approach is proposed to exploit screen content specific features to improve coding efficiency. The proposed approach is based on an adaptive selection of Gray-coded bit-planes in order to generate low bit-depth representation of original screen content frames. The experimental results show that the motion estimation performance of the proposed approach is significantly …
Region Characteristics-Based Fusion Of Spatial And Transform Domain Image Denoising Methods, Rajiv Verma, Rajoo Pandey
Region Characteristics-Based Fusion Of Spatial And Transform Domain Image Denoising Methods, Rajiv Verma, Rajoo Pandey
Turkish Journal of Electrical Engineering and Computer Sciences
Nonlocal means (NLM)- and wavelet-based image denoising methods have drawn much attention in image processing due to their effectiveness and simplicity. The performance of these algorithms varies according to region characteristics in an image. For example, NLM performs well for smooth regions due to deployment of redundancy available in images, whereas wavelet-based approaches may preserve key image features by controlling the degree of threshold for shrinking the noisy coefficients. This paper presents a simple novel approach that estimates an original image by simply taking the weighted average of the denoised images pixel values obtained by NLM and wavelet thresholding schemes …
Large Vocabulary Recognition For Online Turkish Handwriting With Sublexical Units, Esma Fatima Bi̇lgi̇n Taşdemi̇r, Ayşe Berri̇n Yanikoğlu Yeşi̇lyurt
Large Vocabulary Recognition For Online Turkish Handwriting With Sublexical Units, Esma Fatima Bi̇lgi̇n Taşdemi̇r, Ayşe Berri̇n Yanikoğlu Yeşi̇lyurt
Turkish Journal of Electrical Engineering and Computer Sciences
We present a system for large vocabulary recognition of online Turkish handwriting, using hidden Markov models. While using a traditional approach for the recognizer, we have identified and developed solutions for the main problems specific to Turkish handwriting recognition. % First, since large amounts of Turkish handwriting samples are not available, the system is trained and optimized using the large UNIPEN dataset of English handwriting, before extending it to Turkish using a small Turkish dataset. % The delayed strokes, which pose a significant source of variation in writing order due to the large number of diacritical marks in Turkish, are …
A Noninvasive Time-Frequency-Based Approach To Estimate Cuffless Arterial Blood Pressure, Ömer Faruk Ertuğrul, Necmetti̇n Sezgi̇n
A Noninvasive Time-Frequency-Based Approach To Estimate Cuffless Arterial Blood Pressure, Ömer Faruk Ertuğrul, Necmetti̇n Sezgi̇n
Turkish Journal of Electrical Engineering and Computer Sciences
Arterial blood pressure (ABP) is one of the most vital signs in the prophylaxis and treatment of blood pressure-related diseases because raised blood pressure is the most significant cause of death and the second major cause of disability in the world. Higher ABP yields greater strain on arteries and these extra strains turn arteries into thicker, less flexible, and more narrow structures. This increases the possibility of having an artery busting or artery occlusion, which are the primary reasons for heart attacks, kidney disease, or strokes. In addition to its importance in monitoring cardiovascular homeostasis, measurement of ABP is imperative …
Deep Learning Based Brain Tumor Classification And Detection System, Ali̇ Ari, Davut Hanbay
Deep Learning Based Brain Tumor Classification And Detection System, Ali̇ Ari, Davut Hanbay
Turkish Journal of Electrical Engineering and Computer Sciences
The brain cancer treatment process depends on the physician's experience and knowledge. For this reason, using an automated tumor detection system is extremely important to aid radiologists and physicians to detect brain tumors. The proposed method has three stages, which are preprocessing, the extreme learning machine local receptive fields (ELM-LRF) based tumor classification, and image processing based tumor region extraction. At first, nonlocal means and local smoothing methods were used to remove possible noises. In the second stage, cranial magnetic resonance (MR) images were classified as benign or malignant by using ELM-LRF. In the third stage, the tumors were segmented. …
Neuron Modeling: Estimating The Parameters Of A Neuron Model From Neural Spiking Data, Reşat Özgür Doruk
Neuron Modeling: Estimating The Parameters Of A Neuron Model From Neural Spiking Data, Reşat Özgür Doruk
Turkish Journal of Electrical Engineering and Computer Sciences
We present a modeling study aiming at the estimation of the parameters of a single neuron model from neural spiking data. The model receives a stimulus as input and provides the firing rate of the neuron as output. The neural spiking data will be obtained from point process simulation. The resultant data will be used in parameter estimation based on the inhomogeneous Poisson maximum likelihood method. The model will be stimulated by various forms of stimuli, which are modeled by a Fourier series (FS), exponential functions, and radial basis functions (RBFs). Tabulated results presenting cases with different sample sizes (# …
Improving The Sensitivity And Accuracy Of Microcantilever Biosensors By A Truss Structure Within Air Medium, Soheyla Elmi, Zahra Elmi
Improving The Sensitivity And Accuracy Of Microcantilever Biosensors By A Truss Structure Within Air Medium, Soheyla Elmi, Zahra Elmi
Turkish Journal of Electrical Engineering and Computer Sciences
Early diagnosis is a very fundamental issue in treating most diseases and for this purpose microcantilevers are very effective and reliable devices. In this work, four models of biosensor-based microcantilever are compared and a novel design with high sensitivity, quality factor, and accuracy is proposed. A truss structure is designed near the anchored end of the microcantilever, which improves the sensitivity in order to increase detection accuracy. A linear relationship between resonance frequency shift and masses has been estimated for all the designs. High quality factor, which increases the accuracy of measurement, is taken into account as the other benefit …
Tunable Class-F High Power Amplifier At X-Band Using Gan Hemt, Osman Ceylan, Hasan Bülent Yağci, Selçuk Paker
Tunable Class-F High Power Amplifier At X-Band Using Gan Hemt, Osman Ceylan, Hasan Bülent Yağci, Selçuk Paker
Turkish Journal of Electrical Engineering and Computer Sciences
Class-F type amplification stands on proper termination of harmonics such as short for even harmonics and open for odd harmonics. Moreover, termination of only the first few harmonics is practical for high-frequency circuits, while obtaining satisfactory short and open terminations at high frequencies is a challenging design issue. In the present study, a topology of harmonics termination for Class-F load network with 2nd and 3rd harmonics and its relative analytical analysis are presented. The proposed output termination structure for Class-F type amplification provides an improved short termination of 2nd harmonic; therefore, the efficiency of the power amplifier increases. In addition, …
A Low-Cost And Flexible Architecture Of Digitally Controlled Dc-Dc Converter To Improve Dynamic Performance, Abdolsamad Hamidi, Arash Ahmadi, Shahram Karimi
A Low-Cost And Flexible Architecture Of Digitally Controlled Dc-Dc Converter To Improve Dynamic Performance, Abdolsamad Hamidi, Arash Ahmadi, Shahram Karimi
Turkish Journal of Electrical Engineering and Computer Sciences
One type of DC-DC converters is dual transistor forward converter. In this article, a low-cost architecture of a digital controller for dual transistor forward converter is presented. This architecture is designed by using the finite set model predictive control technique. Based on this approach, a low-cost fixed-point arithmetic architecture with minimum functional units is presented to find the optimum switching time at each sampling point. Charge balance control method is utilized to improve the dynamic performance of the transient response. The proposed architecture is implemented and realized by using a field-programmable gate array (FPGA) platform to evaluate the precision of …
A Data-Aware Write-Assist 10t Sram Cell With Bit-Interleaving Capability, Shivram Mansore, Radheshyam Gamad
A Data-Aware Write-Assist 10t Sram Cell With Bit-Interleaving Capability, Shivram Mansore, Radheshyam Gamad
Turkish Journal of Electrical Engineering and Computer Sciences
Cell stability is becoming an important design concern as process technology continues to scale down. In this paper, we present a single-ended 10T SRAM cell that improves simultaneously both read static noise margin (RSNM) and write static noise margin (WSNM) by employing separate read buffer and power gating transistors, respectively. The cross-point write structure of the proposed cell facilitates bit-interleaved architecture to enhance soft-error immunity. Simulation is done on $65$-nm CMOS technology on Cadence. Simulation results show that the RSNM of the proposed SRAM cell is 2.78 times and 1.47 times higher than those of the conventional 6T and Schmitt …
Diode Clamped Gate Driver-Based High Voltage Pulse Generator For Electroporation, Krishnaveni Subramani, Rajini Veeraraghavalu
Diode Clamped Gate Driver-Based High Voltage Pulse Generator For Electroporation, Krishnaveni Subramani, Rajini Veeraraghavalu
Turkish Journal of Electrical Engineering and Computer Sciences
Pulsed electric field technology is an emerging nonthermal food processing method. PEF food processing requires a high voltage pulse generator that produces high intensive pulses to be delivered to the food product. Innovation in semiconductor technology motivates researchers to modernize high voltage pulse generators to reduce the cost, size, and complexities in circuit operation and to increase the suitability for food processing since the last few decades. The present study aims to explore a high voltage pulse generator for electroporation study. The implemented high voltage pulse generator develops $\sim $1.62 kV with adjustable pulse widths of 0.62 $\mu $s and …
Pattern Diversity Antenna For On-Body And Off-Body Wban Links, Sema Dumanli
Pattern Diversity Antenna For On-Body And Off-Body Wban Links, Sema Dumanli
Turkish Journal of Electrical Engineering and Computer Sciences
Maintaining the quality and the reliability of a wireless body area network (WBAN) has a variety of challenges, one of which is the design of the on-body antenna. The on-body antenna often forms both on-body and off-body links and needs to have an application-specific pattern to secure the connection. The antenna should direct its energy in parallel to the human skin while establishing an on-body link, ideally omnidirectionally, while an on-body link would benefit from a directional radiation pattern perpendicular to human skin. Moreover, the lossy body tissue is within the reactive region of the antenna affecting the antenna performance; …
Method Of Singular Integral Equations In Diffraction By Semiinfinite Grating E-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky
Method Of Singular Integral Equations In Diffraction By Semiinfinite Grating E-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky
Turkish Journal of Electrical Engineering and Computer Sciences
Diffraction of the E-polarized electromagnetic wave by a semiinfinite strip grating is considered. The scattered field is represented as a superposition of the field induced by the currents on the strips of an infinite periodic grating and the field induced by the correction current excited due to end of the grating. A singular integral equation with additional conditions for correction current density is obtained. A solution for the infinite periodic grating in the E-polarization case is obtained from the corresponding solution for the H-polarization case using the duality principle. Numerical results for the current density and far fields distribution are …
Mn-Zn Ferrite Line Emi Suppressor For Power Switching Noise In The Impulse/High Current Bias Regime, Dragana Petrovic, Miroslav Lazic, Obrad Aleksic, Maria Nikolic, Vedran Ibrahimovic, Milan Pajnic
Mn-Zn Ferrite Line Emi Suppressor For Power Switching Noise In The Impulse/High Current Bias Regime, Dragana Petrovic, Miroslav Lazic, Obrad Aleksic, Maria Nikolic, Vedran Ibrahimovic, Milan Pajnic
Turkish Journal of Electrical Engineering and Computer Sciences
Ferrite cores 50 mm long were formed from large ferrite tubes obtained using fine Mn-Zn ferrite powder (M-30-IHIS) extruded and sintered at 1280 $^{\circ}$C for 2 h. Core impedance was measured in the HF range (0.1--100 MHz), varying the number of coil turns and DC bias. Characteristic parameters such as maximum of impedance Z$_m$, frequency of maximum impedance F$_m$, and suppressing range f around F$_m$ were determined for each configuration. The analyzed ferrite cores were tested as round cable suppressors in the impulse regime. Impulses were generated by MOSFET transistor switching of high currents (1--10 A). The number of turns, …
Beveled-Shaped Super-Wideband Planar Antenna, Umair Rafique, Sami Ud Din
Beveled-Shaped Super-Wideband Planar Antenna, Umair Rafique, Sami Ud Din
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a design of beveled-shaped planar antenna has been presented for super-wideband applications. The proposed antenna consists of a beveled-shaped radiator, a tapered microstrip feed line, a partial ground plane and two ground planes on the top side of the substrate. The top ground planes are used to match the impedance at lower frequencies and to minimize spurious radiations caused by the feed line. A tapered feed line has been utilized to enhance the overall bandwidth of an antenna. It has been observed from results that a ratio bandwidth of 66.6:1 has been achieved from 0.3 to 20 …
Symbolic Interpretation Of Artificial Neural Networks Using Genetic Algorithms, Dounia Yedjour, Abdelkader Benyettou, Hayat Yedjour
Symbolic Interpretation Of Artificial Neural Networks Using Genetic Algorithms, Dounia Yedjour, Abdelkader Benyettou, Hayat Yedjour
Turkish Journal of Electrical Engineering and Computer Sciences
The knowledge acquired during the learning of artificial neural networks (ANNs) is coded as values in synaptic weights, which makes their interpretations difficult, hence the name of the black box. The aim of this work is to provide a comprehensible interpretation of the ANN's decisions by extracting symbolic rules. We improve the performance of our extraction algorithm by combining the ANN with a genetic algorithm. Misleading rules whose support and confidence values are less than fixed thresholds are removed and, as a result, the comprehensibility is improved. The extracted rules are evaluated and compared with other works. The results show …
Development Of Intelligent Decision Support System Using Fuzzy Cognitive Maps For Migratory Beekeepers, Ahmet Albayrak, Feci̇r Duran, Rai̇f Bayir
Development Of Intelligent Decision Support System Using Fuzzy Cognitive Maps For Migratory Beekeepers, Ahmet Albayrak, Feci̇r Duran, Rai̇f Bayir
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents the development of an intelligent information system using fuzzy cognitive maps that provides information to migratory beekeepers about the nectar flow and climate conditions in the regions they will visit. Beekeeping is an agricultural activity essentially focused on honey production. High honey yields in beekeeping can be achieved through migratory beekeeping. Migratory beekeepers complete the honey production season by carrying their hives to regions with high nectar flow. Beekeepers decide on the regions they will visit based on their previous experiences. In this study, a software-based system that provides information to the beekeepers about the honey yield …
A Dynamic Channel Assignment Method For Multichannel Multiradio Wireless Mesh Networks, Şafak Durukan Odabaşi, Abdül Hali̇m Zai̇m
A Dynamic Channel Assignment Method For Multichannel Multiradio Wireless Mesh Networks, Şafak Durukan Odabaşi, Abdül Hali̇m Zai̇m
Turkish Journal of Electrical Engineering and Computer Sciences
The popularity of wireless communication accelerates research on new technologies that are required to satisfy users' needs. Wireless mesh networks (WMNs), which are additional access technologies instead of being a renewed one, have an important place among next-generation wireless networks. In particular, the capability of working without any infrastructure is the most outstanding advantage of WMNs. There are many studies aimed at WMNs, particularly channel assignment and routing methods for multichannel multiradio structures that provide higher data capacity. Interference, which has a direct effect on the quality of communication, is still a challenge to be addressed. In this study, multichannel …
Optimization In The Catalyst Optimizer Of Spark Sql, Meenu Chawla, Vinita Baniwal
Optimization In The Catalyst Optimizer Of Spark Sql, Meenu Chawla, Vinita Baniwal
Turkish Journal of Electrical Engineering and Computer Sciences
Apache Spark is one of the most technically challenged frameworks for cluster computing in which data are processed in a parallel fashion. The cluster consists of unreliable machines. It processes a large amount of data faster compared to the MapReduce framework. For providing the facility of optimized and fast SQL query processing, a new unit is developed in Apache Spark named Spark SQL. It allows users to use relational processing and functional programming in one place. It provides many optimizations by leveraging the benefits of its core. This is called the catalyst optimizer. This optimizer has many rules to optimize …
Genetic Programming-Based Pseudorandom Number Generator For Wireless Identification And Sensing Platform, Cem Kösemen, Gökhan Dalkiliç, Ömer Aydin
Genetic Programming-Based Pseudorandom Number Generator For Wireless Identification And Sensing Platform, Cem Kösemen, Gökhan Dalkiliç, Ömer Aydin
Turkish Journal of Electrical Engineering and Computer Sciences
The need for security in lightweight devices such as radio frequency identification tags is increasing and a pseudorandom number generator (PRNG) constitutes an essential part of the authentication protocols that provide security. The main aim of this research is to produce a lightweight PRNG for cryptographic applications in wireless identification and sensing platform family devices, and other related lightweight devices. This PRNG is produced with genetic programming methods using entropy calculation as the fitness function, and it is tested with the NIST statistical test suite. Moreover, it satisfies the requirements of the EPCGen2 standards.
Dynamic Cpu Scheduling For Load Balancing In Virtualized Environments, Suresh Chandra Moharana, Sibani Samal, Amulya Ratna Swain, Ganga Bishnu Mund
Dynamic Cpu Scheduling For Load Balancing In Virtualized Environments, Suresh Chandra Moharana, Sibani Samal, Amulya Ratna Swain, Ganga Bishnu Mund
Turkish Journal of Electrical Engineering and Computer Sciences
In the modern era of computing, the cloud computing platform became popular with its on-demand resource scalability feature. Virtualization is the key technology to achieve resource scalability in the cloud environment. Virtual machine monitors (VMMs) like Xen and KVM are the enabling tools for virtualizing the resources in the cloud environment. The major role of VMMs is to map virtual CPUs of virtual machines to physical CPUs, popularly known as CPU scheduling. In this study, we analyzed the CPU scheduler of Xen VMM, called Credit CPU scheduler, with respect to CPU utilization. In order to maximize the physical CPU utilization …
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining, Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining, Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Turkish Journal of Electrical Engineering and Computer Sciences
With the rapid growth of microblogs and online sites, an inordinate number of product reviews are available on the Internet. They not only help in analyzing, but also assist in making informed decisions about product quality. In the proposed work, an extended correlated principal component analysis (ECPCA) is used for dimensionality reduction. A comparative analysis is conducted on movie reviews (DB-1) and Twitter datasets (DB-2 and DB-3) in opinion mining extraction. The performance of naive Bayes, CHIRP, and support vector machine (SVM) with kernel methods such as radial basis function (RBF), polynomial, and Pearson (PUK) are compared and analyzed on …
Enlarging Multiword Expression Dataset By Co-Training, Senem Kumova Meti̇n
Enlarging Multiword Expression Dataset By Co-Training, Senem Kumova Meti̇n
Turkish Journal of Electrical Engineering and Computer Sciences
In multiword expressions (MWEs), multiple words unite to build a new unit in language. When MWE identification is accepted as a binary classification task, one of the most important factors in performance is to train the classifier with enough number of labelled samples. Since manual labelling is a time-consuming task, the performances of MWE recognition studies are limited with the size of the training sets. In this study, we propose the comparison-based and common-decision co-training approaches in order to enlarge the MWE dataset. In the experiments, the performances of the proposed approaches were compared to those of the standard co-training …
Forecasting Of Short-Term Wind Speed At Different Heights Using A Comparative Forecasting Approach, Emrah Korkmaz, Ercan İzgi̇, Sali̇h Tutun
Forecasting Of Short-Term Wind Speed At Different Heights Using A Comparative Forecasting Approach, Emrah Korkmaz, Ercan İzgi̇, Sali̇h Tutun
Turkish Journal of Electrical Engineering and Computer Sciences
The forecasting of wind speed with high accuracy has been a very significant obstacle to the enhancement of wind power quality, for the volatile behavior of wind speed makes forecasting difficult. In order to generate more reliable wind power and to determine the best model for different heights, wind speed needs to be predicted accurately. Recent studies show that soft computing approaches are preferred over physical methods because they can provide fast and reliable techniques to forecast short-term wind speed. In this study, a multilayer perceptron neural network and an adaptive neural fuzzy inference system are utilized to both forecast …
Incremental Banerjee Test Conditions Committing For Robust Parallelization Framework, Aimad Eddine Debbi, Haddi Bakhti
Incremental Banerjee Test Conditions Committing For Robust Parallelization Framework, Aimad Eddine Debbi, Haddi Bakhti
Turkish Journal of Electrical Engineering and Computer Sciences
This paper describes the design of an automatic parallelization framework. The kernel supplied at its front end was suggested as an instrument for parallel potential assessment. It was used to measure the maximum achievable speedups in the major set of the CHStone benchmark suite programs. In such framework, we suggested the liberation of parallelism incrementally. We proposed a data dependency heuristic-based transformation method to make true dependences dissociation. We generated an internal representation ($ IR^{2} $), where the Banerjee test conditions are met. Two among three of Banerjee test conditions came to be committed. In shared memory many/multicore platforms, the …
Path Planning And Energy Flow Control Of Wireless Power Transfer For Sensor Nodes In Wireless Sensor Networks, Chenyang Xia, Yang Zhang, Yuling Liu, Kezhang Lin, Jun Chen
Path Planning And Energy Flow Control Of Wireless Power Transfer For Sensor Nodes In Wireless Sensor Networks, Chenyang Xia, Yang Zhang, Yuling Liu, Kezhang Lin, Jun Chen
Turkish Journal of Electrical Engineering and Computer Sciences
In wireless sensor networks (WSNs), limited-capacity batteries are generally used for powering sensor nodes, where unbalanced electricity is the primary cause of premature death of WSNs. In this paper, wireless power transfer networks are used to power batteries in WSNs to avoid the problem of limited lifetime of traditional limited-capacity batteries. Furthermore, path planning based on the Dijkstra algorithm, which aims at minimizing the overall energy consumption in the network to improve system efficiency, is discussed in detail. Finally, three power transfer models with low contention level (LCL) topology for energy flow control are experimentally validated from the optimal path.
Optimization Of Large Electric Power Distribution Using A Parallel Genetic Algorithm With Dandelion Strategy, Jorge Sabattin, Guillermo Fuertes, Miguel Alfaro, Luis Quezada, Manuel Vargas
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 …
Robust Restoration Of Distribution Systems Considering Dg Units And Direct Load Control Programs, Abolfazl Asadi, Mahmud Fotuhi Firuzabad
Robust Restoration Of Distribution Systems Considering Dg Units And Direct Load Control Programs, Abolfazl Asadi, Mahmud Fotuhi Firuzabad
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new method for restoration of distribution networks after a fault occurrence. This problem is solved from the viewpoint of the distribution system operator with the main goal of minimizing the operating cost during the fault clearance period. The effects of distributed generation (DG) units and direct load control (DLC) programs are considered in designing the proposed restoration procedure. Moreover, the uncertainties associated with the predicted loads of different nodes and the availability of DG are modeled here. Robust optimization is used to model the uncertainties of restoration problems and manage their associated risks. Finally, a robust …
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, silicone rubber-based composites have been widely investigated for outdoor applications due to their promising insulating properties. However, mechanical, thermal, and tracking properties of pure silicone rubber are very poor, which restrains its application for long-term performance. In this research work, the influence of microsized alumina trihydrate (ATH) and micro/nanosized silica (SiO$_{2})$ fillers on mechanical, thermal, and electrical properties of room temperature vulcanized silicone rubber (RTV-SiR) has been studied. SiR-blends with varying amounts of ATH and SiO$_{2}$ particles were prepared by blending in a two-roll mixing mill, compression molding, and postcuring processes in sequence. In order to evaluate …
Full Bridge Converter Based Independent Phase Control Of A Permanent Magnet Reluctance Generator For Wind Power Conversion Systems, Erkan Sunan, Fuat Küçük
Full Bridge Converter Based Independent Phase Control Of A Permanent Magnet Reluctance Generator For Wind Power Conversion Systems, Erkan Sunan, Fuat Küçük
Turkish Journal of Electrical Engineering and Computer Sciences
A Permanent Magnet Reluctance Generator (PMRG) possesses important features such as simplicity and low cost. Absence of rotor winding allows the generator to run in a wide speed range. The PMRG may have potential to be used in wind power conversion systems. An asymmetric half bridge (AHB) converter may be acceptable as a classical converter topology for PMRGs and offers independent phase control. The AHB converter with a torque ripple minimization-assisted maximum power point tracking algorithm not only provides significant torque ripple reduction on the mechanical side but also allows conversion of maximum wind energy to electrical energy. The major …