Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- TÜBİTAK (3106)
- University of Nebraska - Lincoln (642)
- Universitas Indonesia (431)
- Embry-Riddle Aeronautical University (428)
- Marquette University (391)
-
- California Polytechnic State University, San Luis Obispo (169)
- University of Dayton (164)
- Old Dominion University (127)
- University of South Carolina (115)
- Universitas Negeri Malang (103)
- University of Nevada, Las Vegas (96)
- Western University (82)
- University of New Haven (71)
- Purdue University (68)
- Technological University Dublin (68)
- Air Force Institute of Technology (66)
- Portland State University (47)
- University of Kentucky (45)
- The University of Akron (43)
- University of Arkansas, Fayetteville (43)
- Chapman University (40)
- University of New Mexico (38)
- Clemson University (34)
- University of Texas at El Paso (33)
- Michigan Technological University (32)
- Cleveland State University (31)
- Santa Clara University (31)
- South Dakota State University (28)
- New Jersey Institute of Technology (25)
- Tashkent State Technical University (22)
- Keyword
-
- Machine learning (134)
- Deep learning (114)
- Optimization (101)
- Classification (95)
- Genetic algorithm (60)
-
- Particle swarm optimization (52)
- Security (49)
- Digital forensics (48)
- Wireless sensor networks (46)
- Machine Learning (45)
- Robotics (42)
- Computer vision (40)
- Deep Learning (40)
- Feature extraction (39)
- Support vector machine (38)
- Artificial neural network (37)
- Artificial intelligence (36)
- FPGA (35)
- Clustering (33)
- Computer Engineering (33)
- Feature selection (32)
- Neural networks (32)
- Artificial neural networks (31)
- Fuzzy logic (31)
- Image processing (31)
- Simulation (30)
- Distributed generation (29)
- Induction motor (29)
- Neural network (29)
- Renewable energy (29)
- Publication Year
- Publication
-
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Department of Electrical and Computer Engineering: Faculty Publications (496)
- Makara Journal of Technology (431)
- Electrical and Computer Engineering Faculty Research and Publications (389)
- Journal of Digital Forensics, Security and Law (289)
-
- Electrical and Computer Engineering Faculty Publications (201)
- Publications (125)
- Knowledge Engineering and Data Science (103)
- Theses and Dissertations (102)
- Annual ADFSL Conference on Digital Forensics, Security and Law (101)
- Electrical & Computer Engineering Theses & Dissertations (95)
- Electrical and Computer Engineering Publications (81)
- Electrical & Computer Engineering and Computer Science Faculty Publications (70)
- Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research (66)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (63)
- Electronic Theses and Dissertations (61)
- Master's Theses (60)
- Computer Engineering (53)
- School of Computing: Conference and Workshop Papers (43)
- Electrical Engineering (42)
- Williams Honors College, Honors Research Projects (42)
- Engineering Faculty Articles and Research (32)
- Faculty Publications (32)
- Open Access Theses & Dissertations (32)
- Conference papers (28)
- Dissertations (27)
- Electrical and Computer Engineering ETDs (27)
- Graduate Theses and Dissertations (26)
- Dissertations, Master's Theses and Master's Reports (24)
- Electrical & Computer Engineering Faculty Research (24)
- Publication Type
- File Type
Articles 3451 - 3480 of 7216
Full-Text Articles in Computer Engineering
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Turkish Journal of Electrical Engineering and Computer Sciences
Stock market prediction is a very noisy problem and the use of any additional information to increase accuracy is necessary. In this paper, for the stock daily return prediction problem, the set of features is expanded to include indicators not only for the stock to be predicted itself but also a set of other stocks and currencies. Afterwards, different feature selection and classification methods are utilized for prediction. The daily close returns of the 3 most traded stocks (GARAN, THYAO, and ISCTR) in Borsa İstanbul (BIST) are predicted using indicators computed on those stocks, indicators for all the other stocks …
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
Turkish Journal of Electrical Engineering and Computer Sciences
Optimal minimization of total harmonic distortion (OMTHD) and selective harmonic elimination (SHE) switching techniques are usually employed to reduce generated harmonics of multilevel inverters. In the former technique, the THD of waveform is reduced without elimination of any harmonic order and the latter, in contrast, eliminates selected harmonic orders. In this paper, the harmonic elimination ability of the SHE technique is added to OMTHD and an improved OMTHD technique is proposed for an n-level cascaded multilevel inverter with adjustable DC sources. The main novelty of this switching technique is elimination of some harmonic orders, beside THD minimization. Moreover, optimal DC …
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a new scheme for effective output port isolation and return loss in RF-filtering divider design. The proposed design incorporates an extended transmission line and a conventional resistor as isolation elements. The technique has a simpler microstrip circuit implementation when it comes to the integration of a single-band band-pass filter with a Wilkinson power divider to achieve simultaneous filtering-dividing action. It is established that if a band-pass filter with a certain fractional-bandwidth is matched to 70.7 $\Omega $, a transmission line section and isolation resistor are sufficient for achieving reasonable output port return loss and isolation in the …
New Patterson-Wiedemann Type Functions With 15 Variables In The Generalized Rotation-Symmetric Class, Selçuk Kavut
New Patterson-Wiedemann Type Functions With 15 Variables In The Generalized Rotation-Symmetric Class, Selçuk Kavut
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, it was shown that there is no Boolean function on 15 variables with nonlinearity greater than 16276 in the class of functions that are invariant under the action of GF(2$^{3})^{\ast }\times GF(2^{5})^{\ast }$. In this study, we consider some important subsets of this class and perform an efficient enumeration of the 15-variable Patterson-Wiedemann (PW) type functions with nonlinearity greater than the bent concatenation bound 16256 in the generalized classes of both 3-RSBFs and 5-RSBFs for which the corresponding search spaces are 2$^{28.2}$ and 2$^{47.85}$, respectively. For the case of 3-RSBFs, we find that there are 32 functions with nonlinearity …
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Turkish Journal of Electrical Engineering and Computer Sciences
This paper attempts to examine the effect of stator-rotor geometry on the minimization of cogging torque of a flux reversal generator (FRG). With respect to stator geometry, height (or thickness) of the permanent magnets of the stator poles was varied and cogging torque minimization was observed. With respect to rotor geometry, the following cases were considered: a) rotor pole arc variation and b) V-shaped punches on the rotor pole. The characterization of FRG under these cases for the observation of the effects on cogging torque was performed using three-dimensional finite element analysis. From the results of simulation, a model was …
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a system day-ahead hourly market clearing price forecasting tool for the day-ahead (DA) market and a system DA hourly marginal price forecasting tool for the real-time market of the Turkish electric market (TEM). These forecasting tools are developed based on artificial neural networks (ANNs). A series of historical price data of the TEM are utilized to model and optimize the ANN structure and to develop the ANN-based price forecasting tool. The methodology used to select the optimum ANN architecture provides the minimum daily mean absolute percentage error for both day-ahead market prices in the TEM. Performances of …
Horizontal Directional Drilling Pilot Bore Simulation, Paulius Tervydis, Ruta Jankuniene
Horizontal Directional Drilling Pilot Bore Simulation, Paulius Tervydis, Ruta Jankuniene
Turkish Journal of Electrical Engineering and Computer Sciences
Various underground communications (water or gas supply systems, sewage, power lines) have been installed in recent years using trenchless technologies, i.e. horizontal directional drilling (HDD). This technique by its nature does not disturb the traffic and is environmentally friendly. One must be aware that, with HDD, pipeline building time is shortened. With respect to the above, HDD is especially effective in highly populated or industrial areas. However, it is necessary to ensure that HDD works, in order to prevent damage to installed underground facilities. The aim of this work is to propose a user-friendly and inexpensive simulation tool with required …
Mri Image Enhancement Using Biot-Savart Law At 3 Tesla, Yunus Emre Esi̇n, Ferda Nur Alpaslan
Mri Image Enhancement Using Biot-Savart Law At 3 Tesla, Yunus Emre Esi̇n, Ferda Nur Alpaslan
Turkish Journal of Electrical Engineering and Computer Sciences
Coil sensitivity is considered as the most valuable data in the parallel reconstruction of magnetic resonance imaging (MRI). In this study, a novel coil sensitivity map extraction method is introduced for spatially fixed phased array coils. The proposed technique uses the Biot--Savart law with coil internal shape information and low-resolution phase image data to form sensitivity maps. The performance of this method is tested in a parallel image reconstruction task, using the sensitivity-encoding (SENSE) technique. Under the quasi-static assumption and using the duality principle, we computed the sensitivity maps of a phased-array head coil and reconstructed full FOV images. The …
A Stable Marriage-Based Request Routing Framework For Interconnection Cdns, Bo Huang, Lijian Zou, Xiaowen Tong, Xiaoqun Yuan
A Stable Marriage-Based Request Routing Framework For Interconnection Cdns, Bo Huang, Lijian Zou, Xiaowen Tong, Xiaoqun Yuan
Turkish Journal of Electrical Engineering and Computer Sciences
Content delivery network (CDN) interconnection is a promising solution to addressing the limited service scale of CDNs. It scales the CDN's service footprint through the cooperation of CDNs without significantly changing the existing network architecture. However, in a CDN interconnection system, CDNs are independent of each other and each pursues its own goals, which means that cooperation is hard to establish and easy to break. In our paper, we propose a stable marriage-based routing framework to establish a strong cooperation service for CDNs and to select the `optimal' server for each request among the cooperative CDNs. To this end, we …
A Fast Feature Selection Approach Based On Extreme Learning Machine And Coefficient Of Variation, Ömer Faruk Ertuğrul, Mehmet Emi̇n Tağluk
A Fast Feature Selection Approach Based On Extreme Learning Machine And Coefficient Of Variation, Ömer Faruk Ertuğrul, Mehmet Emi̇n Tağluk
Turkish Journal of Electrical Engineering and Computer Sciences
Feature selection is the method of reducing the size of data without degrading their accuracy. In this study, we propose a novel feature selection approach, based on extreme learning machines (ELMs) and the coefficient of variation (CV). In the proposed approach, the most relevant features are identified by ranking each feature with the coefficient obtained through ELM divided by CV. The achieved accuracies and computational costs, obtained with the use of features selected via the proposed approach in 9 classification and 26 regression benchmark data sets, were compared to those obtained with all features, as well as those obtained with …
Relaxation Rate And Polarization Charge Density Model For Aln/Al$_{X}$Ga$_{1 - X}$N/Aln Heterostructures, Nagarajan Sivarajan, Reeba Korah, Mariya Kalavathy Ganamani
Relaxation Rate And Polarization Charge Density Model For Aln/Al$_{X}$Ga$_{1 - X}$N/Aln Heterostructures, Nagarajan Sivarajan, Reeba Korah, Mariya Kalavathy Ganamani
Turkish Journal of Electrical Engineering and Computer Sciences
This work describes the strain-relaxation--dependent carrier concentration ($n_{s})$ profile model using spontaneous and piezoelectric polarization for AlN/Al$_{x}$Ga$_{1 - x}$N/AlN HEMTs in all mole fraction ($x)$ interpolations. As $x$ varies, the Aluminum Gallium Nitride (AlGaN) channel shows strain relaxation with the Aluminum Nitride (AlN) barrier. The degree of relaxation is modeled from AlN to GaN regions in the channel. It shows that the AlN barrier and buffer relaxation and strain recovery occurs due to the gradual crystal quality degradation from barrier/buffer to the channel interface. These combination devices show less drain current degradation with temperature variation from 300 K to 573 …
Axial Flux Pm Bldc Motor Design Methodology And Comparison With A Radial Flux Pm Bldc Motor, Ertuğrul Yeşi̇lbağ, Yasemi̇n Ertuğrul, Lale Ergene
Axial Flux Pm Bldc Motor Design Methodology And Comparison With A Radial Flux Pm Bldc Motor, Ertuğrul Yeşi̇lbağ, Yasemi̇n Ertuğrul, Lale Ergene
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this paper is to develop a methodology to design an axial flux permanent magnet brushless direct current (AFPM) motor for a washing machine and compare the results with a conventional radial flux permanent magnet brushless direct current (RFPM) motor with the same power ratings. The AFPM motor is designed based on the maximum power density for an optimum inner-to-outer diameter ratio by using the reference RFPM motor constraints, such as the same rated torque at the rated speed. Both motors use the same materials in terms of lamination, permanent magnet, and conductor. They both use ferrite magnets; …
Comparative Study For Identification Of Multiple Alarms In Telecommunication Networks, Ati̇la Yilmaz
Comparative Study For Identification Of Multiple Alarms In Telecommunication Networks, Ati̇la Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
Telecommunication networks consist of communication units interconnected physically or by means of protocols in order to provide basic services like data, voice, or image transfers. In this study, a modeling frame for network units and their links in a topological frame is presented based on a real mobile communication network named TASMUS (TAktik Saha MUharebe Sistemi - Tactical Field Combat System). Alarm handling is one of the most critical features required in communication networks. Based on simulated single alarm and multiple (double) alarm scenarios, known powerful alarm estimation approaches, namely the coding method, neural networks, and knowledge-based systems, have been …
Modeling Hybrid Modulation Strategy With Nearest Leveled Vector Switching Pattern In Space Vector Control Technique For Multilevel Inverters, Rohith Balaji Jonnala, Sai Babu Choppavarapu
Modeling Hybrid Modulation Strategy With Nearest Leveled Vector Switching Pattern In Space Vector Control Technique For Multilevel Inverters, Rohith Balaji Jonnala, Sai Babu Choppavarapu
Turkish Journal of Electrical Engineering and Computer Sciences
The multilevel inverter's impact in the area of power electronics is augmented because of its nimble nature. This paper presents an efficient switching pattern for multilevel inverters using the nearest leveled vector (NLV) strategy through a space vector control (SVC) technique. The objective is to reduce the total harmonic distortions by generating an optimal switching sequence with the newly introduced NLV-SVC for multilevel inverters. The proposed NLV modulation is applied for an asymmetrical multilevel inverter, which has a high number of levels with reduced switch count, sources, and lower switching losses. The effectiveness of the proposed method is verified on …
Multitier Decentralized Control Scheme Using Energy Storage Unit And Load Management In Inverter-Based Ac Microgrids, Sara Nourollah, Abolfazl Pirayesh, Matthias Fripp
Multitier Decentralized Control Scheme Using Energy Storage Unit And Load Management In Inverter-Based Ac Microgrids, Sara Nourollah, Abolfazl Pirayesh, Matthias Fripp
Turkish Journal of Electrical Engineering and Computer Sciences
The use of renewable energies, such as wind and solar, is rising in microgrids. However, because of their intermittent nature, achieving a stable system in spite of the fluctuations of generation and demand is very difficult. Aiming to increase the stability margin of AC islanded microgrids comprising nondeterministic resources, properly share real power (P), and keep the network frequency ($f)$ at nominal value, this study exploits the presence of energy storage units (ESUs) along with a load-shedding scheme. To this end, this study proposes a multitier decentralized control strategy that is based on frequency and includes three control schemes, distributed …
Turkish Synonym Identification From Multiple Resources: Monolingual Corpus, Mono/Bilingual Online Dictionaries, And Wordnet, Tuğba Yildiz, Banu Di̇ri̇, Savaş Yildirim
Turkish Synonym Identification From Multiple Resources: Monolingual Corpus, Mono/Bilingual Online Dictionaries, And Wordnet, Tuğba Yildiz, Banu Di̇ri̇, Savaş Yildirim
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a model is proposed to determine synonymy by incorporating several resources. The model extracts the features from monolingual online dictionaries, a bilingual online dictionary, WordNet, and a monolingual Turkish corpus. Once it has built a candidate list, it determines the synonymy for a given word by means of those features. All these resources and the approaches are evaluated. Taking all features into account and applying machine learning algorithms, the model shows good performance of F-measure with 81.4%. The study contributes to the literature by integrating several resources and attempting the first corpus-driven synonym detection system for Turkish.
A Modified Genetic Algorithm For A Special Case Of The Generalized Assignment Problem, Murat Dörterler, Ömer Faruk Bay, Mehmet Ali̇ Akcayol
A Modified Genetic Algorithm For A Special Case Of The Generalized Assignment Problem, Murat Dörterler, Ömer Faruk Bay, Mehmet Ali̇ Akcayol
Turkish Journal of Electrical Engineering and Computer Sciences
Many central examinations are performed nationwide in Turkey. These examinations are held simultaneously throughout Turkey. Examinees attempt to arrive at the examination centers at the same time and they encounter problems such as traffic congestion, especially in metropolises. The state of mind that this situation puts them into negatively affects the achievement and future goals of the test takers. Our solution to minimize the negative effects of this issue is to assign the test takers to closest examination centers taking into account the capacities of examination halls nearby. This solution is a special case of the generalized assignment problem (GAP). …
Design And Walking Pattern Generation Of A Biped Robot, Tolga Olcay, Ahmet Özkurt
Design And Walking Pattern Generation Of A Biped Robot, Tolga Olcay, Ahmet Özkurt
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the design of a biped robot, the walking trajectory generation method, and experimental results about biped walking. Walking trajectory generation is one of the deterministic factors in walking robot applications. Different approaches for stable walking trajectory are worked on in robotic research. The linear inverted pendulum model (LIPM) is an effective method used with the zero moment point (ZMP) criteria. Biped robot trunk and feet moving patterns are generated depending on these fundamental methods. In this study, generated trajectories were tested by a 12 degree of freedom (DOF) biped robot RUBI built at Dokuz Eylül University. In …
Transient State Estimation With The Bergeron Transmission Line Model, Naret Suyaroj, Suttichai Premrudeepreechacharn, Neville Robert Watson
Transient State Estimation With The Bergeron Transmission Line Model, Naret Suyaroj, Suttichai Premrudeepreechacharn, Neville Robert Watson
Turkish Journal of Electrical Engineering and Computer Sciences
Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of algorithms that include the distributed parameters of transmission lines with the Bergeron model. The test system was a 10-bus power system. The simulated transient was caused by a fault event, resulting in different persistent voltage drops that ranged from 10% to 90% at selected buses. In addition, noises were applied to evaluate the algorithm, which …
A New Mechanism To Improve Video Streaming In P2p Networks Using Helper Nodes, Javid Kargar, Abdorasoul Ghasemi
A New Mechanism To Improve Video Streaming In P2p Networks Using Helper Nodes, Javid Kargar, Abdorasoul Ghasemi
Turkish Journal of Electrical Engineering and Computer Sciences
Peer-to-peer video on demand (P2P-VoD) is a solution to provide video service to a large number of users on the Internet. Due to the upload bandwidth bottleneck of VoD servers, the streaming capacity in the P2P-VoD system is limited. This paper proposes a new mechanism to improve the video streaming in P2P networks by using the idle peers upload bandwidth and storage, which are called helpers. The proposed method uses an XOR mechanism in the VoD server to encode chunks and reduce bandwidth use. The helpers receive encoded chunks from the VoD server and save them in their storage spaces …
Classifications Of Disturbances Using Wavelet Transform And Support Vector Machine, Neda Hajibandeh, Faramarz Faghihi, Hossein Ranjbar, Hesam Kazari
Classifications Of Disturbances Using Wavelet Transform And Support Vector Machine, Neda Hajibandeh, Faramarz Faghihi, Hossein Ranjbar, Hesam Kazari
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a new method to detect and classify all kinds of faults, capacitor switching, and load switching in a power system network based on wavelet transform and support vector machines (SVMs). In this regard, a sample of a power system is simulated via MATLAB/Simulink, and by reading the voltage of the point of common coupling and using the wavelet transform, the differences of the outputs of the wavelet transform are investigated. The SVM approach is employed to distinguish the type of the transient (capacitor switching, fault, and/or load switching) in use for the high level outputs of the …
A Self-Tuning Neurofuzzy Feedback Linearization-Based Damping Control Strategy For Multiple Hvdc Links, Saghir Ahmad, Laiq Khan
A Self-Tuning Neurofuzzy Feedback Linearization-Based Damping Control Strategy For Multiple Hvdc Links, Saghir Ahmad, Laiq Khan
Turkish Journal of Electrical Engineering and Computer Sciences
This research work proposes a multi-input multi-output (MIMO) online adaptive feedback linearization NeuroFuzzy control (AFLNFC) scheme to improve the damping of low frequency oscillations (LFOs) in an AC/DC power system. Optimized NeuroFuzzy identification architecture online captures the oscillatory dynamics of the power system through wide area measurement system (WAMS)-based measured speed signals of machines. Based on the identified power system model, the appropriate control law is derived through feedback linearization control with a self-tuned coefficient vector. The generated control signal modulates the real power flow through a high voltage direct current (HVDC) link during perturbed operating conditions and enhances system …
An Optimized Buffer Insertion Algorithm With Delay-Power Constraints For Vlsi Layouts, Chessda Uttraphan, Nasir Shaikh-Husin, Mohamed Khalil Hani
An Optimized Buffer Insertion Algorithm With Delay-Power Constraints For Vlsi Layouts, Chessda Uttraphan, Nasir Shaikh-Husin, Mohamed Khalil Hani
Turkish Journal of Electrical Engineering and Computer Sciences
We propose a grid-graph algorithm for interconnect routing and buffer insertion in nanometer VLSI layout designs. The algorithm is designed to handle multiconstraint optimizations, namely timing performance and power dissipation. The proposed algorithm is called HRTB-LA, which stands for hybrid routing tree and buffer insertion with look-ahead. In recent VLSI designs, interconnect delay has become a dominant factor compared to gate delay. The well-known technique to minimize the interconnect delay is by inserting buffers along the interconnect wires. However, the buffer itself consumes power and it has been shown that power dissipation overhead due to buffer insertions is significantly high. …
Modeling Lattice-Matched Inp-Based Multijunction Solar Cells, Tuğba Selcen Navruz
Modeling Lattice-Matched Inp-Based Multijunction Solar Cells, Tuğba Selcen Navruz
Turkish Journal of Electrical Engineering and Computer Sciences
Currently, the multijunction solar cell structure gives the highest efficiency for photovoltaic solar cells. In this study, tandem, triple, and quadruple junction multijunction solar cell structures that include an InP subcell on InP substrate were investigated. A model that can calculate both the voltage-current characteristics and external quantum efficiency was demonstrated. The model gave fitted results with the experimental data for a single junction GaAs solar cell and a tandem solar cell that provides efficiency higher than 30%. The model was used to optimize the lattice-matched AlAsSb/InP tandem, AlAsSb/InP/InGaAsP triple, and AlAsSb/InP/InGaAsP/GaAsSb quadruple junction solar cell designs and the highest …
The Effect Of Fault Current Limiter Size And Type On Current Limitation In The Presence Of Distributed Generation, Reza Mohammadi Chabanloo, Ehsan Mokhtarpour Habashi, Meysam Farrokhifar
The Effect Of Fault Current Limiter Size And Type On Current Limitation In The Presence Of Distributed Generation, Reza Mohammadi Chabanloo, Ehsan Mokhtarpour Habashi, Meysam Farrokhifar
Turkish Journal of Electrical Engineering and Computer Sciences
One of the effective mitigation solutions of the problems due to the penetration of distributed generation (DG) into the distribution network is a fault current limiter (FCL). Main attention is given to designs for resistive and inductive FCLs and others should meet the same requirements. At first in this paper network analysis is used to determine a suitable type of limiting impedance of a FCL in a distribution network in the presence of DG and then a comparative study of resistive, inductive, and complex FCLs is conducted to show the effect of size and type of FCL on the amplitude …
An Effective Empirical Approach To Voip Traffic Classification, Nazar Abbas Saqib, Yaqoot Shakeel, Moazzam Ali Khan, Hasan Mehmood, Muhammad Zia
An Effective Empirical Approach To Voip Traffic Classification, Nazar Abbas Saqib, Yaqoot Shakeel, Moazzam Ali Khan, Hasan Mehmood, Muhammad Zia
Turkish Journal of Electrical Engineering and Computer Sciences
It is beneficial for telecommunication authorities and Internet service providers (ISPs) to classify and detect voice traffic. It can help them to block unsubscribed users from using their services, which saves them huge revenues. Voice packets can be detected easily, but it becomes complicated when the application or port information in the packet header is hidden due to some secure mechanism such as encryption. This work provides effective voice packet classification and detection based on behavioral and statistical analysis, which is independent of any application, security protocol, or encryption mechanism. First we have made initial assessments through packet feature analysis …
Nonlinear Acoustic Echo Cancellation Using An Adaptive Hammerstein Block Structure Based On A Generalized Basis Function, Tuğba Özge Onur, Rifat Hacioğlu
Nonlinear Acoustic Echo Cancellation Using An Adaptive Hammerstein Block Structure Based On A Generalized Basis Function, Tuğba Özge Onur, Rifat Hacioğlu
Turkish Journal of Electrical Engineering and Computer Sciences
We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using fixed pole filter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of fixed poles, the algorithm …
A Novel Wound Field Flux Switching Machine With Salient Pole Rotor And Nonoverlapping Windings, Faisal Khan, Erwan Sulaiman, Md Zarafi Ahmad
A Novel Wound Field Flux Switching Machine With Salient Pole Rotor And Nonoverlapping Windings, Faisal Khan, Erwan Sulaiman, Md Zarafi Ahmad
Turkish Journal of Electrical Engineering and Computer Sciences
A flux switching machine (FSM) with a segmented rotor and nonoverlapping windings is an attractive alternative for driving high torque density applications. However, a rotor with segments makes the motor less robust as well as difficult to be assembled, while a FSM with salient rotor and overlapping windings inherits high copper losses and less efficiency due to high coil volume. In this paper, a novel structure of FSM with nonoverlapping windings and salient rotor is proposed, making it different from the 10Slot-8Pole segmental and salient rotor FSM. Several design parameters defined in the rotor, armature coil, and field excitation coil …
Design And Analysis Of A Reduced Ultrawideband Band-Notched Band-Pass Filter, Navid Daryasafar, Mojtaba Tangaki, Mohammad Naser Moghaddasi, Ramezanali Sadeghzade
Design And Analysis Of A Reduced Ultrawideband Band-Notched Band-Pass Filter, Navid Daryasafar, Mojtaba Tangaki, Mohammad Naser Moghaddasi, Ramezanali Sadeghzade
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper we intend to design a reduced ultrawideband band-pass filter using new models of coupled transmission lines. In this paper, by providing a new model of resonators, the bandwidth of band-pass filters (which are among the most crucial elements in communication systems) will be moderately increased, while their size and volume decreases. According to the change of their equations and consequent changes in basic parameters of these models, optimization and dependency among these parameters and also the frequency response of these filters will be developed to utilize notches in the pass-band, and a reduced ultrawideband band-pass filter with …
Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif
Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif
Turkish Journal of Electrical Engineering and Computer Sciences
Segmentation of medical images has been one of the most important research areas because of its impact in modeling and diagnosing the structure and the functions of various organs. The lack of unique solution for the segmentation problem of medical images is caused by the wide range of selections among different medical imaging modalities and clustering methods where each setting has its own estimates for solving this problem. The unistable method is a novel method that generates enhanced images with high contrast, which can reduce boundary overlap between different tissues. This is accomplished by fusion of different clustering maps, which …