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Articles 1741 - 1770 of 3020
Full-Text Articles in Physical Sciences and Mathematics
A Real-Time Virtual Sculpting Application By Using An Optimized Hash-Based Octree, Gülüzar Çi̇t, Kayhan Ayar, Cemi̇l Öz
A Real-Time Virtual Sculpting Application By Using An Optimized Hash-Based Octree, Gülüzar Çi̇t, Kayhan Ayar, Cemi̇l Öz
Turkish Journal of Electrical Engineering and Computer Sciences
sculpting system by using a hash-based octree data structure with an optimized approach to reduce the huge memory and computation cost and also the tree traversal time. The system first reads the selected 3D virtual object model, which must be in a triangular watertight polygon mesh format. Then both the surface and the interior volume of the virtual object is voxelized in order to generate its volumetric dataset. Afterwards, a hash-based data structure with a novel optimized approach is applied to the dataset. After each sculpting process applied to the virtual object, its surface is locally reconstructed and a feedback …
Ship-Radiated Noise Feature Extraction Using Multiple Kernel Graph Embedding And Auditory Model, Xinzhou Xu, Xinwei Luo, Chen Wu, Li Zhao
Ship-Radiated Noise Feature Extraction Using Multiple Kernel Graph Embedding And Auditory Model, Xinzhou Xu, Xinwei Luo, Chen Wu, Li Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Residential Electricity Pricing Using Time-Varying And Non-Time-Varying Scenarios: An Application Of Game Theory, Najme Khaleghifar, Hamid Amadeh, Mohammad Hosein Rezaeian Koochi
Residential Electricity Pricing Using Time-Varying And Non-Time-Varying Scenarios: An Application Of Game Theory, Najme Khaleghifar, Hamid Amadeh, Mohammad Hosein Rezaeian Koochi
Turkish Journal of Electrical Engineering and Computer Sciences
residential consumer and the power network. With the growth of power systems and the advent of new energy sources, such as solar energy, it seems to be more essential to investigate how the network and the consumer can interact with each other to achieve more financial benefits. To do that, a static game is defined considering the fact that there is a direct relationship between the amount of load shifted by the consumer and the incentive offered by the network. It is concluded that the Nash equilibrium of this game is when the consumer decides to cooperate with the network …
Design Of Fir Filters Using Exponential--Hamming Window Family, Kemal Avci̇
Design Of Fir Filters Using Exponential--Hamming Window Family, Kemal Avci̇
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Fast Measurement Of Headlamps By Means Of A Developed Fuzzy Luxmeter Based On A Fuzzy Mapping Algorithm, Mustafa Şi̇nasi̇ Ayas, İsmai̇l Hakki Altaş, Turhan Alçeli̇k
Fast Measurement Of Headlamps By Means Of A Developed Fuzzy Luxmeter Based On A Fuzzy Mapping Algorithm, Mustafa Şi̇nasi̇ Ayas, İsmai̇l Hakki Altaş, Turhan Alçeli̇k
Turkish Journal of Electrical Engineering and Computer Sciences
headlamps in the dark is inferable from the results of studies. Various regulations are available in order to arrange the required illuminance values at certain positions on the road. The designed and produced headlamps have to satisfy the requirements of these regulations. Manual measurement tools, such as the luxmeter (which are based on point-by-point measurements), have traditionally been used. This traditional way has been considered inefficient in terms of awkward setup procedures, complexity, the continuous intervention of human operators, and costs. In this study, in order to overcome these problems, a new approach for measuring the illuminance values is proposed. …
Abnormal Event Detection In Crowded Scenes Via Bag-Of-Atomic-Events-Based Topic Model, Xing Hu, Shiqiang Hu, Lingkun Luo, Guoxiang Li
Abnormal Event Detection In Crowded Scenes Via Bag-Of-Atomic-Events-Based Topic Model, Xing Hu, Shiqiang Hu, Lingkun Luo, Guoxiang Li
Turkish Journal of Electrical Engineering and Computer Sciences
crowded scenes. A new concept of atomic event is introduced into this framework, which is the basic component of video events. Different from previous bag-of-words (BoW) modeling-based methods that represent feature descriptors using only one code word, a feature descriptor is represented using a few more atomic events in bag-of-atomic-events (BoAE) modeling. Consequently, the approximation error is reduced by using the obtained BoAE representation. In the context of abnormal event detection, BoAE representation is more suitable to describe abnormal events than BoW representation, because the abnormal event may not correspond to any code word in BoW modeling. Fast latent Dirichlet …
Novel, Graded, Priority-Oriented Admission Control In Mobile Networks, Siddu Payappa Algur, Niharika Kumar
Novel, Graded, Priority-Oriented Admission Control In Mobile Networks, Siddu Payappa Algur, Niharika Kumar
Turkish Journal of Electrical Engineering and Computer Sciences
to the different services in mobile broadband networks (WiMAX, LTE). A new connection is admitted only when the network can support the QoS needs of the connection without degrading the QoS for existing connections. An efficient call admission control algorithm ensures higher throughput and fewer delays for the admitted connections. In this paper a graded priority-based call admission control algorithm is proposed for LTE and WiMAX networks. The number of permissible connections shall be segregated into two classes. The new connection shall be graded, prioritized, and admitted based on the device requesting the connection. Simulation results show that graded priority-based …
Removal Of Impulse Noise In Digital Images With Na\"Ive Bayes Classifier Method, Cafer Budak, Mustafa Türk, Abdullah Toprak
Removal Of Impulse Noise In Digital Images With Na\"Ive Bayes Classifier Method, Cafer Budak, Mustafa Türk, Abdullah Toprak
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Brain Tumor Detection Using Monomodal Intensity Based Medical Image Registration And Matlab, Emrah Irmak, Ergun Erçelebi̇, Ahmet Hani̇fi̇ Ertaş
Brain Tumor Detection Using Monomodal Intensity Based Medical Image Registration And Matlab, Emrah Irmak, Ergun Erçelebi̇, Ahmet Hani̇fi̇ Ertaş
Turkish Journal of Electrical Engineering and Computer Sciences
digital image processing. Using suitable computer programming techniques and transformation between two images, a new much more informative image can be found. In this paper, three important and basic medical image registration (MIR) methods, namely MIR by maximization of mutual information, MIR using cross correlation (Fourier transform approach), and MIR by minimization of similarity metric, were proposed and accordingly two comprehensive applications were performed using MIR by minimization of the similarity metric, which uses the sum of the squared differences metric as a metric and the regular step gradient descent optimizer as an optimizer. What is more, MR images of …
Application Of A Time Delay Neural Network For Predicting Positive And Negative Links In Social Networks, Saghar Babakhanbak, Kaveh Kavousi, Fardad Farokhi
Application Of A Time Delay Neural Network For Predicting Positive And Negative Links In Social Networks, Saghar Babakhanbak, Kaveh Kavousi, Fardad Farokhi
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Wide-Range Reliable Stabilization Of Time-Delayed Power Systems, Hisham M. Soliman, Abdellah Benzaouia, Hassan Yousef
Wide-Range Reliable Stabilization Of Time-Delayed Power Systems, Hisham M. Soliman, Abdellah Benzaouia, Hassan Yousef
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Advanced~Neural Network Receiver Design~To Combat Multiple Channel~Impairments, Mürsel Önder, Aydin Akan, Hakan Doğan
Advanced~Neural Network Receiver Design~To Combat Multiple Channel~Impairments, Mürsel Önder, Aydin Akan, Hakan Doğan
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
A Novel Method Of Relieving Congestion In Hybrid Deregulated Market Utilizing Renewable Energy Sources, Joseph Jeslin Drusila Nesamalar, Paramasivam Venkatesh, Sathiasamuel Charles Raja
A Novel Method Of Relieving Congestion In Hybrid Deregulated Market Utilizing Renewable Energy Sources, Joseph Jeslin Drusila Nesamalar, Paramasivam Venkatesh, Sathiasamuel Charles Raja
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Protection Of A Multiterminal Dc Compact Node Feeding Electric Vehicles On Electric Railway Systems, Secondary Distribution Networks, And Pv Systems, Jesus Casa Hernandez, Francisco Sanchez Sutil, Pedro Gomez Vidal
Protection Of A Multiterminal Dc Compact Node Feeding Electric Vehicles On Electric Railway Systems, Secondary Distribution Networks, And Pv Systems, Jesus Casa Hernandez, Francisco Sanchez Sutil, Pedro Gomez Vidal
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Enhanced Control Of A Dfig-Based System By Sliding-Mode Control Method During Network Disturbances, Saeed Abazari, Sajad Farajzadeh, Samad Taghipour Boroujeni
Enhanced Control Of A Dfig-Based System By Sliding-Mode Control Method During Network Disturbances, Saeed Abazari, Sajad Farajzadeh, Samad Taghipour Boroujeni
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Threshold Optimization According To The Restricted Bayes Criterion In Decentralized Detection Problems, Suat Bayram, Hakan Soku
Threshold Optimization According To The Restricted Bayes Criterion In Decentralized Detection Problems, Suat Bayram, Hakan Soku
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
A Robust Undervoltage Load Shedding Scheme Against Voltage Instability, Iman Kaffashan, Seyed Mohammad Taghi Mirali Mortezaee, Turaj Amraee
A Robust Undervoltage Load Shedding Scheme Against Voltage Instability, Iman Kaffashan, Seyed Mohammad Taghi Mirali Mortezaee, Turaj Amraee
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Tourism Demand Modelling And Forecasting Using Data Mining Techniques In Multivariate Time Series: A Case Study In Turkey, Selçuk Cankurt, Abdülhami̇t Subaşi
Tourism Demand Modelling And Forecasting Using Data Mining Techniques In Multivariate Time Series: A Case Study In Turkey, Selçuk Cankurt, Abdülhami̇t Subaşi
Turkish Journal of Electrical Engineering and Computer Sciences
In this study multiple linear regression, multilayer perceptron (MLP) regression, and support vector regression (SVR) are used to make multivariate tourism forecasting for Turkey. This paper is a comparative study of data mining techniques based on multivariate regression modelling with monthly data points to forecast tourism demand; it focuses on Turkey. Both MLP and SVR methods are widely employed in the variety forecasting problems. Most of the previous research on tourism forecasting used univariate time series or a limited number of variables with mostly yearly or quarterly, and rarely monthly frequencies. However, the application of data mining techniques for multivariate …
Experimental Characterization Of Wafer Probe Burn, Baha Zafer, Bahadir Tunaboylu
Experimental Characterization Of Wafer Probe Burn, Baha Zafer, Bahadir Tunaboylu
Turkish Journal of Electrical Engineering and Computer Sciences
The probing test is a typical quality control method for individual chips on a wafer. This study investigates the cantilever wafer probe current carrying capacity along a probe body in order to model the probe burn phenomenon by using experimental techniques and numerical simulation. The standard measurement approach used in the test industry is conducted to define the mechanical degradation of the cantilever probe on the wafer card and temperature distribution along the probe body is conducted using a conduction heat transfer equation via computational discretization. Maximum current carrying capacity is defined and the probe burn phenomenon is observed at …
Stability Criterion For Uncertain 2-$D$ Discrete Systems With Interval-Like Time-Varying Delay Employing Quantization/Overflow Nonlinearities, Siva Kumar Tadepalli, Venkata Krishna Rao Kandanvli, Haranath Kar
Stability Criterion For Uncertain 2-$D$ Discrete Systems With Interval-Like Time-Varying Delay Employing Quantization/Overflow Nonlinearities, Siva Kumar Tadepalli, Venkata Krishna Rao Kandanvli, Haranath Kar
Turkish Journal of Electrical Engineering and Computer Sciences
This paper considers the problem of global asymptotic stability of a class of two-dimensional (2-$D$) uncertain discrete systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model under the influence of various combinations of quantization/overflow nonlinearities and interval-like time-varying delay in the state. The systems under consideration involve parameter uncertainties that are assumed to be deterministic and norm-bounded. A delay-dependent stability criterion is established by bounding the forward difference of the 2-$D$ Lyapunov functional using the reciprocally convex approach. The criterion is compared with a recently reported criterion.
Intensity Exposure-Based Bi-Histogram Equalization For Image Enhancement, Tang Jing Rui, Nor Ashidi Mat Isa
Intensity Exposure-Based Bi-Histogram Equalization For Image Enhancement, Tang Jing Rui, Nor Ashidi Mat Isa
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we present a study of the usage of intensity exposure in histogram segmentation and its performance in histogram equalization. Two techniques are proposed: the mean-based bi-histogram equalization plateau limit (mean-BHEPL) or median-based BHEPL (median-BHEPL) and adaptive bi-histogram equalization algorithm (ABHE). Both techniques initially divide the input histogram into two subhistograms through a threshold value computed from the intensity exposure of the image. Histogram clipping for mean-BHEPL and median-BHEPL is then performed on these subhistograms using the mean and median values, respectively. Conventional histogram equalization is also implemented on each clipped subhistogram. The second proposed technique, ABHE, applies …
Internet-Based Multiuser In-Circuit Emulator Design For 8051 Microprocessors, Kubi̇lay Taşdelen, Aki̇f Kutlu
Internet-Based Multiuser In-Circuit Emulator Design For 8051 Microprocessors, Kubi̇lay Taşdelen, Aki̇f Kutlu
Turkish Journal of Electrical Engineering and Computer Sciences
A real-time, Internet-based 8051 microprocessor in-circuit emulator (MicroLabICE) was designed and run for microprocessor lessons for undergraduate and graduate programs of electrical, electronics, communication, and computer engineering. Users can run applications developed for the 8051 microprocessor online on a physical circuit not being limited to a specific time or place with the 8051 microprocessor in-circuit emulator (ICE). The programs prepared by users are transferred to the controller area network (CAN) through an online server and program the ICE experiment module. Codes loaded on the designed emulator experiment module are run step by step and values that 8051 microprocessor registers have …
Statistical Learning Approaches In Diagnosing Patients With Nontraumatic Acute Abdomen, Gökmen Zararsiz, Hizir Yakup Akyildiz, Di̇nçer Göksülük, Selçuk Korkmaz, Ahmet Öztürk
Statistical Learning Approaches In Diagnosing Patients With Nontraumatic Acute Abdomen, Gökmen Zararsiz, Hizir Yakup Akyildiz, Di̇nçer Göksülük, Selçuk Korkmaz, Ahmet Öztürk
Turkish Journal of Electrical Engineering and Computer Sciences
A quick evaluation is required for patients with acute abdominal pain. It is crucial to differentiate between surgical and nonsurgical pathology. Practical and accurate tests are essential in this differentiation. Lately, D-dimer level has been found to be an important adjuvant in this diagnosis and obviously outperforms leukocyte count, which is widely used for diagnosis of certain cases. Here, we handle this problem from a statistical perspective and combine the information from leukocyte count with D-dimer level to increase the diagnostic accuracy of nontraumatic acute abdomen. For this purpose, various statistical learning algorithms are considered and model performances are assessed …
Energy Efficient Multiconstrained Optimization Using Hybrid Aco And Ga In Manet Routing, Nivetha Senthil Kumaran, Asokan Ramasamy
Energy Efficient Multiconstrained Optimization Using Hybrid Aco And Ga In Manet Routing, Nivetha Senthil Kumaran, Asokan Ramasamy
Turkish Journal of Electrical Engineering and Computer Sciences
Nodes in mobile ad hoc networks (MANET) suffer from limited battery power and bandwidth. Particularly for real time multimedia communications through MANET, metrics like residual node energy, bandwidth, and end-to-end delay have major impacts. In MANET, designing a dynamic routing algorithm to satisfy quality of service (QoS) requirements is a challenging task. Additionally, multiconstrained QoS routing aims to optimize multiple QoS metrics while providing required network resources and is an admittedly complex problem. It has been proved to be NP-complete when a combination of additive, concave, and multiplicative metrics are considered. Hence, this problem can be solved using metaheuristic methods …
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
Turkish Journal of Electrical Engineering and Computer Sciences
We investigated how to use cross-company (CC) data in software fault prediction and in predicting the fault labels of software modules when there are not enough fault data. This paper involves case studies of NASA projects that can be accessed from the PROMISE repository. Case studies show that CC data help build high-performance fault predictors in the absence of fault labels and remarkable results are achieved. We suggest that companies use CC data if they do not have any historical fault data when they decide to build their fault prediction models.
The Phononic Crystal Interface Layer Determines Slow-Wave And Pulse Broadening Effects, Li Sun, Aiming Ji, Jialing Hu, Canyan Zhu, Lijun Zhang, Jianfeng Yang, Lingfeng Mao
The Phononic Crystal Interface Layer Determines Slow-Wave And Pulse Broadening Effects, Li Sun, Aiming Ji, Jialing Hu, Canyan Zhu, Lijun Zhang, Jianfeng Yang, Lingfeng Mao
Turkish Journal of Electrical Engineering and Computer Sciences
The relationship among the slow-wave and echo pulse broadening effects in reflected acoustic waves and the width of the interface layer of phononic crystal has been theoretically investigated. It has been observed that not only the slow time for the reflected acoustic wave but also the echo pulse broadening reaches a saturation point as the size of the phononic crystal increases. From the viewpoint of the acoustic wave, there is an interface layer in the crystal that determines the slow-wave and the echo pulse broadening effects. The longest slow time, which is the time needed for transmitting 0.08 periods of …
Gravitational Search Algorithm-Based Dynamic Economic Dispatch By Estimating Transmission System Losses Using A-Loss Coefficients, Ram Jethmalani Chinasamy Hemparuva, Sishaj Pulikottil Simon, Sundareswaran Kinattingal, Srinivasa Rao Nayak Panugothu
Gravitational Search Algorithm-Based Dynamic Economic Dispatch By Estimating Transmission System Losses Using A-Loss Coefficients, Ram Jethmalani Chinasamy Hemparuva, Sishaj Pulikottil Simon, Sundareswaran Kinattingal, Srinivasa Rao Nayak Panugothu
Turkish Journal of Electrical Engineering and Computer Sciences
Dynamic economic dispatch (DED) is an important problem in power system generation, operation, planning, and control. The objective of the DED problem is to schedule power generation for the online units over a time horizon, satisfying the unit and ramp rate constraints. Here, valve point loading effects that cause nonsmoothness of the objective function is also considered while solving the DED. The accuracy of the solution not only depends on the optimal scheduling of generating units, but it also lies in accuracy while estimating transmission system losses. Generally, B-loss coefficients are used in estimating transmission losses. However, in the literature, …
Comparative Analysis Of Voltage And Current Source Inverter Based Dstatcom Systems, Pradeep Kumar, Niranjan Kumar, Ashok Kumar Akella
Comparative Analysis Of Voltage And Current Source Inverter Based Dstatcom Systems, Pradeep Kumar, Niranjan Kumar, Ashok Kumar Akella
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a comparative performance evaluation of voltage source inverter (VSI) as well as current source inverter (CSI) based DSTATCOM systems in terms of power quality improvement in a three-phase four-wire distribution network. Due to increasing use of high-performance semiconductor based power electronic switches, the CSI based DSTATCOM is developed as a suitable option in high power applications. However, the VSI based DSTATCOM system is the best suited for medium power applications. The VSI based DSTATCOM offers advantages over the CSI based DSTATCOM in terms of current harmonic compensation, power factor correction, lower losses (both conduction and power losses), …
An Hf/Uhf Dual Mode Rfid Transponder Antenna And Hf Range Extension Using Uhf Wireless Power Transmission, Mustafa Murat Bi̇lgi̇ç, Korkut Yeği̇n
An Hf/Uhf Dual Mode Rfid Transponder Antenna And Hf Range Extension Using Uhf Wireless Power Transmission, Mustafa Murat Bi̇lgi̇ç, Korkut Yeği̇n
Turkish Journal of Electrical Engineering and Computer Sciences
An HF/UHF compatible RFID transponder antenna is designed, simulated, and measured for dual band operation and HF range extension. A dual mode compatible RFID transponder antenna has the benefits of each mode and eliminates the disadvantages of single mode operation. One of the major drawbacks of UHF antennas is their poor performance when the tag is placed on or near metallic objects. To overcome this shortcoming, two-layer substrate with degenerate grounded is used and a 4-turn spiral antenna is placed on the top and bottom parts of the substrate for HF operation. The co-existence of both antennas affects standalone performances …
Common Spatial Pattern-Based Feature Extraction From The Best Time Segment Of Bci Data, Önder Aydemi̇r
Common Spatial Pattern-Based Feature Extraction From The Best Time Segment Of Bci Data, Önder Aydemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Feature extraction is one of the most crucial stages in the field of brain computer interface (BCI). Because of its ability to directly influence the performance of BCI systems, recent studies have generally investigated how to modify existing methods or develop novel techniques. One of the most successful and well-known methods in BCI applications is the common spatial pattern (CSP). In existing CSP-based methods, the spatial filters were extracted either by using the whole data trial or by dividing the trials into a number of overlapping/nonoverlapping time segments. In this paper, we developed a CSP-based moving window technique to obtain …