Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (14752)
- Computer Engineering (9173)
- Computer Sciences (8065)
- Electrical and Computer Engineering (6951)
- Operations Research, Systems Engineering and Industrial Engineering (4875)
-
- Materials Science and Engineering (4599)
- Artificial Intelligence and Robotics (3991)
- Systems Science (3929)
- Numerical Analysis and Scientific Computing (3891)
- Civil and Environmental Engineering (3655)
- Mechanical Engineering (2776)
- Engineering Science and Materials (2736)
- Environmental Sciences (2455)
- Chemistry (2280)
- Chemical Engineering (2277)
- Social and Behavioral Sciences (2126)
- Mining Engineering (2100)
- Sustainability (2098)
- Physical Chemistry (2037)
- Oil, Gas, and Energy (2013)
- Materials Chemistry (1979)
- Earth Sciences (1958)
- Architecture (1621)
- Power and Energy (1456)
- Life Sciences (1426)
- Construction Engineering and Management (1299)
- Civil Engineering (1252)
- Aerospace Engineering (1116)
- Education (1086)
- Institution
-
- China Simulation Federation (3880)
- TÜBİTAK (3106)
- Chinese Chemical Society | Xiamen University (2029)
- China Coal Technology and Engineering Group (CCTEG) (1799)
- National Taiwan Ocean University (1307)
-
- Chulalongkorn University (1101)
- Tashkent State Technical University (884)
- Universitas Indonesia (761)
- Embry-Riddle Aeronautical University (738)
- Rochester Institute of Technology (701)
- University of Dar es Salaam (689)
- Changsha University of Science and Technology (579)
- Association of Arab Universities (574)
- Ministry of Higher and Secondary Specialized Education of the Republic of Uzbekistan (546)
- Technological University Dublin (537)
- Brigham Young University (456)
- Faculty of Engineering, Mansoura University (432)
- Purdue University (391)
- Neutrosophic Systems with Applications (380)
- University of Alabama at Birmingham (378)
- Ohio University (336)
- Beirut Arab University (320)
- Universitas Negeri Malang (308)
- University of Nebraska at Omaha (281)
- California State University, San Bernardino (240)
- Al Iraqia University (235)
- Tashkent Institute of Chemical Technology (233)
- Central Mining Institute (220)
- University of Technology (218)
- University of Arkansas, Fayetteville (204)
- Keyword
-
- Engineering (1085)
- Building (461)
- Construction (423)
- Architecture (416)
- Conference (379)
-
- Proceedings (379)
- ASME (378)
- ECTC (378)
- Plumbing (340)
- Deep learning (221)
- Simulation (206)
- Machine learning (201)
- Numerical simulation (180)
- Optimization (161)
- Sustainability (149)
- Genetic algorithm (141)
- Classification (115)
- Architectural Engineering (110)
- Artificial intelligence (104)
- Particle swarm optimization (99)
- Heating (96)
- Civil and Environmental Engineering (94)
- Western Australia (91)
- Path planning (90)
- Technology (87)
- Modeling (85)
- Design (82)
- Corrosion (75)
- Electrocatalysis (75)
- Temperature (75)
- Publication Year
- Publication
-
- Journal of System Simulation (3880)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Journal of Electrochemistry (2029)
- Coal Geology & Exploration (1799)
- Journal of Marine Science and Technology–Taiwan (1299)
-
- Journal of Metals, Materials and Minerals (788)
- Tanzania Journal of Engineering and Technology (TJET) (616)
- Journal of the Microelectronic Engineering Conference (593)
- Journal of China & Foreign Highway (576)
- Chemical Technology, Control and Management (536)
- Makara Journal of Technology (478)
- Building Services Engineering (476)
- Journal of Undergraduate Research (438)
- Mansoura Engineering Journal (432)
- Neutrosophic Systems with Applications (380)
- Early Career Technical Journal (ECTJ) (378)
- Technical science and innovation (348)
- Online Journal of Space Communication (336)
- Journal of Digital Forensics, Security and Law (301)
- Space and Defense (280)
- International Journal of Aviation, Aeronautics, and Aerospace (269)
- Journal of Engineering Research (249)
- Iraqi Journal for Computer Science and Mathematics (235)
- CHEMISTRY AND CHEMICAL ENGINEERING (233)
- Journal of International Technology and Information Management (226)
- Journal of Sustainable Mining (220)
- Engineering and Technology Journal (218)
- Applied Environmental Research (216)
- Journal of Mechanical Engineering Science and Technology (JMEST) (198)
- Journal of Tashkent Institute of Railway Engineers (185)
- File Type
Articles 21541 - 21570 of 27416
Full-Text Articles in Engineering
Some Project Manegement Challenges When Planning To Conduct Vertical Transportation Study, Magdelena Krstanoski
Some Project Manegement Challenges When Planning To Conduct Vertical Transportation Study, Magdelena Krstanoski
Early Career Technical Journal (ECTJ)
Section 9: Miscelleneous; pp. 236-240
Design And Development Of Air Powered Engine, Shalin Shah, Nisarg Patel, Kirtan Khajanchi, Vimal Savsani
Design And Development Of Air Powered Engine, Shalin Shah, Nisarg Patel, Kirtan Khajanchi, Vimal Savsani
Early Career Technical Journal (ECTJ)
Section 9: Miscelleneous; pp. 241-248
Asme Early Career Technical Journal (End Matter), Asme Ectc Coordinating Committee
Asme Early Career Technical Journal (End Matter), Asme Ectc Coordinating Committee
Early Career Technical Journal (ECTJ)
Proceedings of the ASME Early Career Technical Conference, November 1-2, 2014. School of Engineering, University of Alabama at Birmingham, Birmingham, Alabama; pp. 249-250
Asme Early Career Technical Journal (Conference Program), Asme Ectc Coordinating Committee
Asme Early Career Technical Journal (Conference Program), Asme Ectc Coordinating Committee
Early Career Technical Journal (ECTJ)
Program of the ASME Early Career Technical Conference, November 1-2, 2014. School of Engineering, University of Alabama at Birmingham, Birmingham, Alabama
A Proposed Return Algorithm For Elastoplastic Constitutive Relations, David A. Cooper, David L. Littlefield
A Proposed Return Algorithm For Elastoplastic Constitutive Relations, David A. Cooper, David L. Littlefield
Early Career Technical Journal (ECTJ)
Section 5: Numerical Methods; pp. 121-125
Gravitational Stabilization Methods For Hydrocodes, Gerald Pekmezi, David Littlefield, Stephen Akers, Kent Danielson
Gravitational Stabilization Methods For Hydrocodes, Gerald Pekmezi, David Littlefield, Stephen Akers, Kent Danielson
Early Career Technical Journal (ECTJ)
Section 5: Numerical Methods; pp. 150-157
Thermal Analysis, Microstructural Characterization And Nanoindentation For Electron Beam Additive Manufacturing, Bo Chang, Xibing Gong, Xiaoqing Wang, Kevin Chou
Thermal Analysis, Microstructural Characterization And Nanoindentation For Electron Beam Additive Manufacturing, Bo Chang, Xibing Gong, Xiaoqing Wang, Kevin Chou
Early Career Technical Journal (ECTJ)
Section 7: Design & Manufacturing; pp. 196-203
Solving A New Bi-Objective Joint Replenishment Inventory Model With Modified Rand And Genetic Algorithms, Ommolbanin Yousefi, Seyed Jafar Sadjadi
Solving A New Bi-Objective Joint Replenishment Inventory Model With Modified Rand And Genetic Algorithms, Ommolbanin Yousefi, Seyed Jafar Sadjadi
Turkish Journal of Electrical Engineering and Computer Sciences
There are many cases in real inventory systems where more than one objective must be optimized. The main purpose of this research is to develop a multiobjective joint replenishment problem (JRP), where one objective is the minimization of the total inventory investment and another is the minimization of the total inventory ordering and holding costs. To solve the suggested model, 3 algorithms are proposed. In the first algorithm, the existing RAND method, called the best heuristic for solving the JRP, is modified and a new heuristic algorithm is developed to be applicable to the JRP with 2 objectives. The second …
Contrast Enhancement Using Linear Image Combinations Algorithm (Ceulica) For Enhancing Brain Magnetic Resonance Images, Burak Yilmaz, Yüksel Özbay
Contrast Enhancement Using Linear Image Combinations Algorithm (Ceulica) For Enhancing Brain Magnetic Resonance Images, Burak Yilmaz, Yüksel Özbay
Turkish Journal of Electrical Engineering and Computer Sciences
Brain magnetic resonance imaging (MRI) images support important information about brain diseases for physicians. Morphological alterations in brain tissues indicate the probable existence of a disease in many cases. Proper estimation of these tissues, measuring their sizes, and analyzing their image patterns are parts of the diagnosis process. Therefore, the interpretability and perceptibility level of the MRI image is valuable for physicians. In this paper, a new image contrast enhancement algorithm based on linear combinations is presented. The proposed algorithm is focused on improving the interpretability and perceptibility of the image information. An MRI image is presented to the algorithm, …
Online Feature Selection And Classification With Incomplete Data, Habi̇l Kalkan
Online Feature Selection And Classification With Incomplete Data, Habi̇l Kalkan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a classification system in which learning, feature selection, and classification for incomplete data are simultaneously carried out in an online manner. Learning is conducted on a predefined model including the class-dependent mean vectors and correlation coefficients, which are obtained by incrementally processing the incoming observations with missing features. A nearest neighbor with a Gaussian mixture model, whose parameters are also estimated from the trained model, is used for classification. When a testing observation is received, the algorithm discards the missing attributes on the observation and ranks the available features by performing feature selection on the model that …
Model-Free Controller With An Observer Applied In Real-Time To A 3-Dof Helicopter, Ahsene Boubakir, Salim Labiod, Fares Boudjema, Franck Plestan
Model-Free Controller With An Observer Applied In Real-Time To A 3-Dof Helicopter, Ahsene Boubakir, Salim Labiod, Fares Boudjema, Franck Plestan
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a model-free controller with an observer is presented for a class of uncertain continuous-time multiinput-multioutput nonlinear dynamic systems. The proposed model-free control law consists of 2 parts: the first part is a linear control term used to specify the dynamics of the closed loop system, and the second part is a compensator of the effects of uncertainties and external disturbances. The compensator is synthesized from an estimator of the effects of uncertainties and disturbances based on the Lyapunov approach. In order to estimate the unavailable states of the controlled system, a linear state observer is designed. All …
A Performance Comparison Of Linear And Nonlinear Control Of A Scig-Wind Farm Connecting To A Distribution Network, Mohamed Benchagra, Mohamed Maaroufi, Mohammed Ouassaid
A Performance Comparison Of Linear And Nonlinear Control Of A Scig-Wind Farm Connecting To A Distribution Network, Mohamed Benchagra, Mohamed Maaroufi, Mohammed Ouassaid
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a comparison of linear and nonlinear control to regulate the DC-link voltage and power factor correction of a wind farm equipped with squirrel cage induction generators (SCIGs), connecting to a 22-kV distribution network. Both active and reactive powers are employed in 2 independent control laws. The proposed control strategies are derived from the Lyapunov approach. The aim of the control is to maximize the generated power with the lowest possible impact in the grid voltage and frequency during normal operation and under the occurrence of faults. The nonlinear backstepping controller to be used for the control of …
Coherence Analysis On Thermal Effect For Power Cables Under Different Environmental Conditions, Sezai̇ Taşkin, Şahi̇n Serhat Şeker, Özcan Kalenderli̇, Murat Karahan
Coherence Analysis On Thermal Effect For Power Cables Under Different Environmental Conditions, Sezai̇ Taşkin, Şahi̇n Serhat Şeker, Özcan Kalenderli̇, Murat Karahan
Turkish Journal of Electrical Engineering and Computer Sciences
There are 2 important aspects of this research; these are the experimental study and the data analysis, which are based on coherence analysis. In this study, a low-voltage power cable is tested under 2 different environments, air and water, and the variations in temperature are measured for the conductor, the sheath parts of the cable, and the environment. The recorded test data are analyzed using such as coherence analysis. This in turn provides the means to determine the relationship among the sheath, conductor, and the environment. In conclusion, high correlated peaks in the frequency domain are used to determine the …
Inverse Covariance Principal Component Analysis For Power System Stability Studies, Abdullah Alodienat, Tauseef Gulrez
Inverse Covariance Principal Component Analysis For Power System Stability Studies, Abdullah Alodienat, Tauseef Gulrez
Turkish Journal of Electrical Engineering and Computer Sciences
The dominant poles (eigenvalues) of system matrices are used extensively in determining the power system stability analysis. The challenge is to find an accurate and efficient way of computing these dominant poles, especially for large power systems. Here we present a novel way for finding the system stability based on inverse covariance principal component analysis (ICPCA) to compute the eigenvalues of large system matrices. The efficacy of the proposed method is shown by numerical calculations over realistic power system data and we also prove the possibility of using ICPCA to determine the eigenvalues closest to any damping ratio and repeated …
Rfid And Communication Technologies For An Intelligent Bus Monitoring And Management System, Mahammad Abdul Hannan, Aishah Mustapha, Abdulla Al Mamun, Aini Hussain, Hassan Basri
Rfid And Communication Technologies For An Intelligent Bus Monitoring And Management System, Mahammad Abdul Hannan, Aishah Mustapha, Abdulla Al Mamun, Aini Hussain, Hassan Basri
Turkish Journal of Electrical Engineering and Computer Sciences
This paper highlights the implementation of an intelligent bus monitoring system based on current challenges and problems. In this system, radio frequency identification and integrated sensing technologies, such as a global positioning system, general packet radio service, and geographic information system, are used to monitor the movement of a bus. A new theoretical framework and ruled-based decision algorithms are developed for the system. An experimental setup is developed for the prototype implementation. The results show that the choice of integrated technologies used in the system is suitable to monitor and manage a vehicle transportation system.
A Methodology For Memristance Calculation, Reşat Mutlu, Ertuğrul Karakulak
A Methodology For Memristance Calculation, Reşat Mutlu, Ertuğrul Karakulak
Turkish Journal of Electrical Engineering and Computer Sciences
A memristor is a newly found fundamental circuit element whose behavior can be predicted using either the charge-dependent function called memristance or the flux-dependent function called memductance. Therefore, it is important to find the memristance or memductance function of a memristor. To the best of our knowledge, there is no methodology describing how to obtain the memristance function or memristor characteristic in the literature for this purpose as of yet. In this work, a methodology is suggested to find the memristance or memductance functions. The methodology suggests first doing several experiments with a memristor using a square-wave signal to acquire …
Increasing Key Space At Little Extra Cost In Rfid Authentications, Gökhan Dalkiliç, Mehmet Hi̇lal Özcanhan, Hafi̇ze Şen Çakir
Increasing Key Space At Little Extra Cost In Rfid Authentications, Gökhan Dalkiliç, Mehmet Hi̇lal Özcanhan, Hafi̇ze Şen Çakir
Turkish Journal of Electrical Engineering and Computer Sciences
Traditional authentication and key establishment protocols utilize nonce parameters as a means for message freshness, recent aliveness, and key derivation. Improving identity verification, increasing key space, or making secret updates more complex through nonces are not goals. Generating random numbers as nonces and not making the most out of them can be considered as a loss in resource stricken radio frequency identification (RFID) tags. By increasing the shared secrets slightly, a new functionality for the nonces is introduced, which makes the authentication and key establishment protocols of RFID systems more secure, in general. The proposed method contributes to the security …
A Low-Memory Intensive Decoding Architecture For Double-Binary Convolutional Turbo Code, Ming Zhan, Liang Zhou, Jun Wu
A Low-Memory Intensive Decoding Architecture For Double-Binary Convolutional Turbo Code, Ming Zhan, Liang Zhou, Jun Wu
Turkish Journal of Electrical Engineering and Computer Sciences
Memory accesses take a large part of the power consumption in the iterative decoding of double-binary convolutional turbo code (DB-CTC). To deal with this, a low-memory intensive decoding architecture is proposed for DB-CTC in this paper. The new scheme is based on an improved maximum a posteriori probability algorithm, where instead of storing all of the state metrics, only a part of these state metrics is stored in the state metrics cache (SMC), and the memory size of the SMC is thus reduced by 25%. Owing to a compare-select--recalculate processing (CSRP) module in the proposed decoding architecture, the unstored state …
Spatiotemporal Realization Of An Artificial Retina Model And Performance Evaluation Through Isi- And Spike Count-Based Image Reconstruction Methods, İrfan Karagöz, Mustafa Özden
Spatiotemporal Realization Of An Artificial Retina Model And Performance Evaluation Through Isi- And Spike Count-Based Image Reconstruction Methods, İrfan Karagöz, Mustafa Özden
Turkish Journal of Electrical Engineering and Computer Sciences
Development of an artificial retina model that can mimic the biologic retina is a highly challenging task and this task is an important step in the development of a visual prosthesis. The receptive field structure of the retina layer is usually modeled as a 2D difference of Gaussian (DOG) filter profile. In the present study, as a different approach, a retina model including a 3D 2-stage DOG filter (3D-ADOG) that has an adaptively changing bandwidth with respect to the local image statistic is developed. Using this modeling, the adaptive image processing of the retina can be realized. The contribution of …
A Penalty Function Method For Designing Efficient Robust Classifiers With Input Space Optimal Separating Surfaces, Ayşegül Uçar, Yakup Demi̇r, Cüneyt Güzeli̇ş
A Penalty Function Method For Designing Efficient Robust Classifiers With Input Space Optimal Separating Surfaces, Ayşegül Uçar, Yakup Demi̇r, Cüneyt Güzeli̇ş
Turkish Journal of Electrical Engineering and Computer Sciences
This paper considers robust classification as a constrained optimization problem. Where the constraints are nonlinear, inequalities defining separating surfaces, whose half spaces include or exclude the data depending on their classes and the cost, are used for attaining robustness and providing the minimum volume regions specified by the half spaces of the surfaces. The constraints are added to the cost using penalty functions to get an unconstrained problem for which the gradient descent method can be used. The separating surfaces, which are aimed to be found in this way, are optimal in the input data space in contrast to the …
Applications Of Wavelets And Neural Networks For Classification Of Power System Dynamics Events, Samir Avdakovic, Amir Nuhanovic, Mirza Kusljugic, Elvisa Becirovic
Applications Of Wavelets And Neural Networks For Classification Of Power System Dynamics Events, Samir Avdakovic, Amir Nuhanovic, Mirza Kusljugic, Elvisa Becirovic
Turkish Journal of Electrical Engineering and Computer Sciences
This paper investigates the possibility of classifying power system dynamics events using discrete wavelet transform (DWT) and a neural network (NN) by analyzing one variable at a single network bus. Following a disturbance in the power system, it will propagate through the system in the form of low-frequency electromechanical oscillations (LFEOs) in a frequency range of up to 5 Hz. DWT allows the identification of components of the LFEO, their frequencies, and magnitudes. After determining the energy components' share of the analyzed signal using DWT and Parseval's theorem, the input data for the classification process using a NN are obtained. …
Design, Optimization, And Realization Of A Wire Antenna With A 25:1 Bandwidth Ratio For Terrestrial Communications, Korkut Yeği̇n
Design, Optimization, And Realization Of A Wire Antenna With A 25:1 Bandwidth Ratio For Terrestrial Communications, Korkut Yeği̇n
Turkish Journal of Electrical Engineering and Computer Sciences
Wire antennas can be made wideband if the antenna is loaded with passive elements and connected to a lossless matching network. However, realization of the load component values and matching network can easily become impractical. In this study, using only a surface mount and standard component values, antenna loads and a matching network are optimized using genetic algorithms. The optimized design achieves a 25:1 bandwidth ratio, from 20 MHz to 500 MHz, with a maximum voltage standing wave ratio (VSWR) of 3.5 and minimum system gain of --5 dBi. The antenna system gain at azimuth is taken as the objective …
A New Method For Extraction Of Speech Features Using Spectral Delta Characteristics And Invariant Integration, Hassan Farsi, Samana Kuhimoghadam
A New Method For Extraction Of Speech Features Using Spectral Delta Characteristics And Invariant Integration, Hassan Farsi, Samana Kuhimoghadam
Turkish Journal of Electrical Engineering and Computer Sciences
We propose a new feature extraction algorithm that is robust against noise. Nonlinear filtering and temporal masking are used for the proposed algorithm. Since the current automatic speech recognition systems use invariant-integration and delta-delta techniques for speech feature extraction, the proposed algorithm improves speech recognition accuracy appropriately using a delta-spectral feature instead of invariant integration. One of the nonenvironmental factors that reduce recognition accuracy is the vocal tract length (VTL), leading to a mismatch between the training and testing data. We can use the invariant-integration feature idea for decreasing the VTL effects. The aim of this paper is to provide …
Continuity Of Currents Across Neighboring Cells In Pmm Analysis Of Thin-Wire Grids, Sena Esen Bayer Keski̇n, Ahmet Ari̇f Ergi̇n
Continuity Of Currents Across Neighboring Cells In Pmm Analysis Of Thin-Wire Grids, Sena Esen Bayer Keski̇n, Ahmet Ari̇f Ergi̇n
Turkish Journal of Electrical Engineering and Computer Sciences
This article presents a new approach for the analysis of electromagnetic scattering from a rectangular wire mesh. In this sense, a basis function that considers the flow of a current from one cell to the next is proposed in light of Floquet's theorem. The proposed basis function enables the use of periodic method of moments in frequency-selective surfaces composed of thin wires in the case of a system having a connection with neighboring cells, such as thin-wire grids. The validity of the proposed solution approach is tested in 2 distinct cases (with and without a neighbor connection) for scattered fields. …
Neuro-Fuzzy Network Approach For Modeling Submicron Mosfets: Application To Mosfet Subcircuit Simulation, Amirhossein Abdollahinohoji, Fardad Farokhi, Majid Zamani
Neuro-Fuzzy Network Approach For Modeling Submicron Mosfets: Application To Mosfet Subcircuit Simulation, Amirhossein Abdollahinohoji, Fardad Farokhi, Majid Zamani
Turkish Journal of Electrical Engineering and Computer Sciences
A neuro-fuzzy network approach is developed to model the nonlinear behavior of submicron metal-oxide semiconductor field-effect transistors (MOSFETs). The proposed model is trained and implemented as a MOSFET in a software environment. The training data are obtained through various simulations of a MOSFET Berkeley short channel insulated-gate field-effect transistor model 3 (BSIM3) in HSPICE, and the trained model is utilized to simulate the MOSFET device. The obtained result shows good and noticeable agreement between the numerical result of the original model in HSPICE and the neuro-fuzzy approach in the device and subcircuit modeling.
Simultaneous Identification And Correction Of Measurement And Branch Parameter Errors, Mehdi Ahmadi Jirdehi, Mehrdad Tarafdar Hagh, Kazem Zare
Simultaneous Identification And Correction Of Measurement And Branch Parameter Errors, Mehdi Ahmadi Jirdehi, Mehrdad Tarafdar Hagh, Kazem Zare
Turkish Journal of Electrical Engineering and Computer Sciences
The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system. In this paper, a new algorithm is proposed for the simultaneous identification and correction of measurement and branch parameter errors (series and shunt admittances) in the power system SE problem. The proposed method uses Lagrange multipliers for the identification and correction of branch parameter errors without the need for a-priori specification of suspect parameter vectors. Erroneous measurements and branch parameter values can be corrected using the proposed method to estimate the measurement and branch …
Fuzzy Impedance And Force Control Of A Stewart Platform, Selçuk Ki̇zi̇r, Zafer Bi̇ngül
Fuzzy Impedance And Force Control Of A Stewart Platform, Selçuk Ki̇zi̇r, Zafer Bi̇ngül
Turkish Journal of Electrical Engineering and Computer Sciences
A new, simple, and effective control method is proposed for the position-based impedance and force control of a Stewart platform (SP). The control approach can be divided into 3 parts, namely position control in free space, impedance control in contact, and force control. An impedance filter is developed to achieve the desired behavior between the position and force. The gain of the filter is modified by a fuzzy logic proportional-integral-derivative controller. Kinematic and dynamic models of the SP are simulated in a MATLAB/Simulink environment. Several real-time experiments are conducted with the SP developed in our laboratory. The results of the …
Fuzzy Logic Approach To Henry Factor For Distributed Feedback Laser Case, Abdullah Çavuşoğlu
Fuzzy Logic Approach To Henry Factor For Distributed Feedback Laser Case, Abdullah Çavuşoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a simple approach for intelligent modeling of the Henry factor (\alpha-alpha parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth enhancement factor, which is an actual analysis and design parameter for semiconductor laser diodes and optical communication systems, is proposed based on the fuzzy logic (FL) phenomenon. The proposed FL-based model easily computes the Henry factor in terms of different wavelengths and injection current levels (i.e. the inputs of the model). The experimental data belong to a distributed feedback laser, obtained from amplified spontaneous emission spectra, which is among the techniques required for the characterization of …
New Throughput-Based Antenna Selection Scheme, Mohammad Lari, Abbas Mohammadi, Abdolali Abdipour
New Throughput-Based Antenna Selection Scheme, Mohammad Lari, Abbas Mohammadi, Abdolali Abdipour
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a new throughput-based transmit antenna selection (AS) scheme is evaluated. First, a closed-form solution for the throughput rate of a multiple-input multiple-output (MIMO) system, with a truncated selective repeat automatic repeat request (TSR-ARQ) or selective repeat plus go-back-N automatic repeat request (SR+GBN-ARQ) protocol at the data link layer, is proposed. In addition, a throughput-based AS technique with adaptive modulation is also investigated. For this purpose, the throughput and packet error rates of a MIMO system with a transmit AS and TSR-ARQ protocol at the data link layer are analyzed. This study is conducted in 2 different cases. …
A Novel Hybrid Recurrent Wavelet Neural Network Control Of Permanent Magnet Synchronous Motor Drive For Electric Scooter, Chih Hong Lin
A Novel Hybrid Recurrent Wavelet Neural Network Control Of Permanent Magnet Synchronous Motor Drive For Electric Scooter, Chih Hong Lin
Turkish Journal of Electrical Engineering and Computer Sciences
Due to the electric scooter with nonlinear uncertainties, e.g., nonlinear friction force of the transmission belt, the linear controller was made to disable speed tracking control. In order to overcome this problem, a novel hybrid recurrent wavelet neural network (NHRWNN) control system is proposed to control for a permanent-magnet synchronous motor-driven electric scooter in this study. The NHRWNN control system consists of a supervised control, a recurrent wavelet neural network (RWNN), and a compensated control with adaptive law. According to the Lyapunov stability theorem and the gradient descent method, the on-line parameter training methodology of the RWNN can be derived …