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2018

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Articles 13021 - 13050 of 13644

Full-Text Articles in Physical Sciences and Mathematics

Application Of Domination Integrity Of Graphs In Pmu Placement In Electric Power Networks, Mariappan Saravanan, Ramalingam Sujatha, Raman Sundareswaran, Muthu Selvan Balasubramanian Jan 2018

Application Of Domination Integrity Of Graphs In Pmu Placement In Electric Power Networks, Mariappan Saravanan, Ramalingam Sujatha, Raman Sundareswaran, Muthu Selvan Balasubramanian

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we propose the application of the concept of power domination integrity to an electric power network. A phasor measurement unit (PMU) is used to analyze and control the power system by measuring voltage phase in electrical nodes and transmission lines. Due to the high cost of PMUs, it is necessary to minimize the number of PMUs such that the depth of observability is ensured. Placing PMUs in a network can be formulated as a graph theoretic problem of finding the minimum number of nodes (PMUs) in a graph that has a maximum number of links with other …

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Research On Power-Frequency Electromagnetic Interference Model Of Multicore Twisted Signal Cable Of High-Speed Railway, Bowen Zhang, Jiangjian Xie, Zhixin Wang, Jin Yang, Hao Yan Jan 2018

Research On Power-Frequency Electromagnetic Interference Model Of Multicore Twisted Signal Cable Of High-Speed Railway, Bowen Zhang, Jiangjian Xie, Zhixin Wang, Jin Yang, Hao Yan

Turkish Journal of Electrical Engineering and Computer Sciences

With the increase in the traction power of high-speed railways, the power-frequency electromagnetic interference of traction current to the signal cables becomes increasingly more severe. In this paper, the calculation model of the magnetic interference to signal cable was established on the MATLAB/Simulink platform based on the multiconductor transmission line theory. This model took SPTYWPL03-8B 8-core twist signal cable as an example and the power-frequency interference of external current to the signal cable was analyzed theoretically. In addition, experiments on electromagnetic interference of double-ended and single-ended signal cables were performed to validate the simulation model. Experiments showed that the relative …

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Real-Time Power System Dynamic Security Assessment Based On Advanced Feature Selection For Decision Tree Classifiers, Qusay Al-Gubri, Mohd Aifaa Mohd Ariff Jan 2018

Real-Time Power System Dynamic Security Assessment Based On Advanced Feature Selection For Decision Tree Classifiers, Qusay Al-Gubri, Mohd Aifaa Mohd Ariff

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes a novel algorithm based on an advanced feature selection technique for the decision tree (DT) classifier to assess the dynamic security in a power system. The proposed methodology utilizes symmetrical uncertainty (SU) to reduce the data redundancy in a dataset for DT classifier-based dynamic security assessment (DSA) tools. The results show that SU reduces the dimension of the dataset used for DSA significantly. Subsequently, the approach improves the performance of the DT classifier. The effectiveness of the proposed technique is demonstrated on the modified IEEE 30-bus test system model. The results show that the DT classifier with …

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A Novel Single-Inductor Eight-Channel Light-Emitting Diode Driver For Low Power Display Backlight Applications, Magesh Kannan Parthasarathy, Nagarajan Ganesan Jan 2018

A Novel Single-Inductor Eight-Channel Light-Emitting Diode Driver For Low Power Display Backlight Applications, Magesh Kannan Parthasarathy, Nagarajan Ganesan

Turkish Journal of Electrical Engineering and Computer Sciences

A novel decoder-based single-inductor eight-channel light-emitting diode (LED) driver circuit for low power display backlight applications has been proposed. Uniform brightness in the display provides better picture clarity, which can be achieved by providing uniform DC currents to all channels in the backlight arrangement. Existing systems use individual current regulators for each channel, which fails to provide uniform current to individual channels. Instead, uniform current is provided to all eight channels in the proposed system as the same current is distributed to all channels using time-multiplexing by a 3 $\times $ 8 decoder and a 3-bit binary up-counter. A digital …

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Sf6 Gas-Insulated 50-Kva Distribution Transformer Design, Okan Özgönenel, David Thomas, Ünal Kurt Jan 2018

Sf6 Gas-Insulated 50-Kva Distribution Transformer Design, Okan Özgönenel, David Thomas, Ünal Kurt

Turkish Journal of Electrical Engineering and Computer Sciences

There are increasing environmental concerns such that governments are pressured to cooperate with international concurrences. One of the most harmful contaminants is mineral oil when it infiltrates the soil. Although it is a good material in the act of insulating in distribution/power transformers, it presents some environmental hazards and safety disadvantages. For this reason, gas-insulated transformers are considered particularly for hazardous locations. An oil-insulated distribution transformer of 50 kVA, 34.5/0.4 kV, and 50 Hz is investigated and converted to SF6 gas-insulated transformer in this study. The suggested distribution transformer model with SF6 insulated has many benefits, such as being explosion-proof …

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Region Characteristics-Based Fusion Of Spatial And Transform Domain Image Denoising Methods, Rajiv Verma, Rajoo Pandey Jan 2018

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 …

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Adaptive Bit-Plane Selection-Based Low Complexity Motion Estimation For Screen Content Coding, Ramazan Duvar, Oğuzhan Urhan Jan 2018

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 …

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Large Vocabulary Recognition For Online Turkish Handwriting With Sublexical Units, Esma Fatima Bi̇lgi̇n Taşdemi̇r, Ayşe Berri̇n Yanikoğlu Yeşi̇lyurt Jan 2018

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 …

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A Low-Complexity Rare-Based 2-D Doa Estimation Algorithm For A Mixture Of Circular And Strictly Noncircular Sources, Kashif Shabir, Tarek Hasan Al Mahmud, Rui Zheng, Zhongfu Ye Jan 2018

A Low-Complexity Rare-Based 2-D Doa Estimation Algorithm For A Mixture Of Circular And Strictly Noncircular Sources, Kashif Shabir, Tarek Hasan Al Mahmud, Rui Zheng, Zhongfu Ye

Turkish Journal of Electrical Engineering and Computer Sciences

A new rank reduction (RARE)-based two-dimensional (2-D) direction of arrival (DOA) estimation algorithm is proposed considering a mixture of circular and strictly noncircular sources. To enhance array aperture, a geometry of three uniform linear arrays is considered and then treated as displaced arrays from a virtual array using a simple linear transformation. The received data and the conjugated counterpart are combined together, exploiting the noncircular property. Both sources can be estimated separately by designing and exploiting the distinctive nature of circular and noncircular steering vectors. However, a 2-D spectrum search would lead to a high computational complexity burden. To reduce …

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Deep Learning Based Brain Tumor Classification And Detection System, Ali̇ Ari, Davut Hanbay Jan 2018

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. …

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Image Reconstruction For Frequency-Domain Diffuse Optical Tomography, Vicky Mudeng, Yun Priyanto, Andhika Giyantara Jan 2018

Image Reconstruction For Frequency-Domain Diffuse Optical Tomography, Vicky Mudeng, Yun Priyanto, Andhika Giyantara

Turkish Journal of Electrical Engineering and Computer Sciences

The image reconstruction algorithm of diffuse optical tomography (DOT) is based on the diffusion equation and involves both the forward problem and inverse solution. The forward problem solves the diffusion equation using the finite element method for calculating the transmitted light distribution under the condition of presumed light source and optical coefficient. The inverse solution reconstructs the optical property coefficient distribution using Newton's method. The work within this study develops an image reconstruction algorithm for frequency-domain DOT. A numerical simulations approach to light propagation in the tissue is conducted, while the optical property is reconstructed employing data around the boundary. …

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Tunable Class-F High Power Amplifier At X-Band Using Gan Hemt, Osman Ceylan, Hasan Bülent Yağci, Selçuk Paker Jan 2018

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, …

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An Efficient Structure For T-Cntfets With Intrinsic-N-Doped Impurity Distribution Pattern In Drain Region, Ali Naderi, Maryam Ghodrati Jan 2018

An Efficient Structure For T-Cntfets With Intrinsic-N-Doped Impurity Distribution Pattern In Drain Region, Ali Naderi, Maryam Ghodrati

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, by using impurity distribution engineering of drain region, an efficient structure is proposed for tunneling carbon nanotube field-effect transistors (T-CNTFETs). The drain region of the proposed structure consists of two parts. The impurity density of the part close to the channel is intrinsic and the other is n-type with constant density of 1 nm$^{-1}$. In conventional T-CNTFETs, heavily doped drain causes a spiky drop of potential energy around the channel to drain junction resulting in a pathway for carriers in the valence band to tunnel to the conduction band which means ambipolar behavior and large leakage current. …

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A Low-Cost And Flexible Architecture Of Digitally Controlled Dc-Dc Converter To Improve Dynamic Performance, Abdolsamad Hamidi, Arash Ahmadi, Shahram Karimi Jan 2018

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 …

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A Data-Aware Write-Assist 10t Sram Cell With Bit-Interleaving Capability, Shivram Mansore, Radheshyam Gamad Jan 2018

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 …

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Pattern Diversity Antenna For On-Body And Off-Body Wban Links, Sema Dumanli Jan 2018

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; …

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Beveled-Shaped Super-Wideband Planar Antenna, Umair Rafique, Sami Ud Din Jan 2018

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 …

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Development Of Intelligent Decision Support System Using Fuzzy Cognitive Maps For Migratory Beekeepers, Ahmet Albayrak, Feci̇r Duran, Rai̇f Bayir Jan 2018

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 …

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Optimization In The Catalyst Optimizer Of Spark Sql, Meenu Chawla, Vinita Baniwal Jan 2018

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 …

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Genetic Programming-Based Pseudorandom Number Generator For Wireless Identification And Sensing Platform, Cem Kösemen, Gökhan Dalkiliç, Ömer Aydin Jan 2018

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.

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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 Jan 2018

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 …

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Enlarging Multiword Expression Dataset By Co-Training, Senem Kumova Meti̇n Jan 2018

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 …

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Forecasting Of Short-Term Wind Speed At Different Heights Using A Comparative Forecasting Approach, Emrah Korkmaz, Ercan İzgi̇, Sali̇h Tutun Jan 2018

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 …

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Incremental Banerjee Test Conditions Committing For Robust Parallelization Framework, Aimad Eddine Debbi, Haddi Bakhti Jan 2018

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 …

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An Enhanced Grey Wolf Optimization Algorithm With Improved Exploration Ability For Analog Circuit Design Automation, M A Mushahhid Majeed, Sreehari Rao Patri Jan 2018

An Enhanced Grey Wolf Optimization Algorithm With Improved Exploration Ability For Analog Circuit Design Automation, M A Mushahhid Majeed, Sreehari Rao Patri

Turkish Journal of Electrical Engineering and Computer Sciences

A novel circuit sizing technique with improved accuracy and efficiency is proposed to resolve the sizing issues in the analog circuit design. The grey wolf optimization (GWO) algorithm has the total number of iterations divided equally for exploration and exploitation, overlooking the impact of balance between these two phases, aimed for the convergence at a globally optimal solution. An enhanced version of a typical GWO algorithm termed as enhanced grey wolf optimization (EGWO) algorithm is presented with improved exploration ability and is successfully applied in analog circuit design. A set of 23 classical benchmark functions is evaluated and the outcomes …

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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 Jan 2018

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.

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Robust Restoration Of Distribution Systems Considering Dg Units And Direct Load Control Programs, Abolfazl Asadi, Mahmud Fotuhi Firuzabad Jan 2018

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 …

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Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad Jan 2018

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 …

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Full Bridge Converter Based Independent Phase Control Of A Permanent Magnet Reluctance Generator For Wind Power Conversion Systems, Erkan Sunan, Fuat Küçük Jan 2018

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 …

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An Analysis Of Centennial Wind Power Targets Of Turkey, Egemen Sulukan Jan 2018

An Analysis Of Centennial Wind Power Targets Of Turkey, Egemen Sulukan

Turkish Journal of Electrical Engineering and Computer Sciences

Wind power has become one of the cost-effective options for improving the energy mix, while the wind farm installations reach higher shares by new capacity additions in Turkey, similar to many other countries, in order to support the sustainable development targets. Various methodologies are implemented and applied for planning and optimizing energy systems of countries, taking into consideration the energy, economy, and ecology aspects as a whole. The objective of this paper is to demonstrate the implications of "2023 energy targets" policy in terms of wind power. A futuristic scenario was tailored and applied to a comprehensive energy model for …

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