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Physical Sciences and Mathematics Commons™
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- Particle swarm optimization (13)
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- Induction motor (5)
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Articles 31 - 60 of 372
Full-Text Articles in Physical Sciences and Mathematics
Penalty Factor-Based Optimization Algorithm For Distributed Generation Sizing In Distribution Network, Jasrul Jamani Jamian, Mohd Nabil Bin Muhtazaruddin, Muhammad Ariff Baharuddin
Penalty Factor-Based Optimization Algorithm For Distributed Generation Sizing In Distribution Network, Jasrul Jamani Jamian, Mohd Nabil Bin Muhtazaruddin, Muhammad Ariff Baharuddin
Turkish Journal of Electrical Engineering and Computer Sciences
The installation of distributed generation (DG) can be used to minimize the total power loss in the distribution network. Besides that, other power system performances such as voltage profile, stability index, and total harmonic distortion can also be improved via DG. Although many works on DG have been done, most researchers have assumed that the distribution line is in an ideal condition (unlimited capacity limit). On the contrary, all practical lines should have their own capacity limit. Therefore, the main contribution of this paper is to determine the optimal DG output that can fulfill the maximum allowable line capacity limit …
Peak-To-Average Power Ratio Reduction Using Backtracking Search Optimization Algorithm In Ofdm Systems, Necmi̇ Taşpinar, Yüksel Tokur Bozkurt
Peak-To-Average Power Ratio Reduction Using Backtracking Search Optimization Algorithm In Ofdm Systems, Necmi̇ Taşpinar, Yüksel Tokur Bozkurt
Turkish Journal of Electrical Engineering and Computer Sciences
A peak-to-average power ratio (PAPR) reduction method for an orthogonal frequency division multiplexing (OFDM) system based on a combination of a partial transmit sequence (PTS) scheme with the backtracking search optimization algorithm (BSA) is proposed. The PTS scheme shows good PAPR reduction performance; however, it requires a complex computation to search the set of optimum phase factors, especially for high-speed data transmissions. To minimize the complexity of the search for optimum phase factors, the PTS scheme is combined with the BSA. The BSA is a new and efficient population-based evolutionary search algorithm for real-valued optimization problems. A set of simulations …
The Impact Of Disabling Suspicious Node Communications On Network Lifetime In Wireless Ad Hoc Sensor Networks, Zeydi̇n Pala, Ni̇hat İnanç
The Impact Of Disabling Suspicious Node Communications On Network Lifetime In Wireless Ad Hoc Sensor Networks, Zeydi̇n Pala, Ni̇hat İnanç
Turkish Journal of Electrical Engineering and Computer Sciences
In wireless sensor networks (WSNs), the data observed by different nodes must be relayed safely to the base station over intermediate nodes. In the network environment, some sensor nodes can act suspiciously when they enter someone else's control or due to other equipment failure. Data packets that are sent through suspicious nodes may be randomly dropped or may be not delivered as desired. In this paper, we investigate the impact of disabling suspicious nodes communications on network lifetime through a linear programming framework. We build a mathematical programming framework and perform comprehensive numerical analysis. Our results show that the decrease …
Chattering-Eliminated Adaptive Sliding-Mode Control: An Experimental Comparison Study, Murat Furat, İlyas Eker
Chattering-Eliminated Adaptive Sliding-Mode Control: An Experimental Comparison Study, Murat Furat, İlyas Eker
Turkish Journal of Electrical Engineering and Computer Sciences
The present paper deals with a new adaptive sliding-mode control. The switching and equivalent control laws include adaptive gains. An error-dependent adaptive gain in the switching control law and an adaptive parameter in the equivalent control law with respect to open-loop transient response of the system are proposed to eliminate chattering and to increase the performance of the controller. The proposed approach results in chattering elimination without using any complex calculation-based methods, which is highly useful for practical applications. The number of independent gains is also minimized. Therefore, tuning of those gains is simplified. The proposed controller is compared experimentally …
Effect Of Repetition Coding On The Ber Performance Of Interleave-Division Multiple Access Systems, Mehmet Bi̇li̇m, Nuri̇ Kapucu, İbrahi̇m Develi̇
Effect Of Repetition Coding On The Ber Performance Of Interleave-Division Multiple Access Systems, Mehmet Bi̇li̇m, Nuri̇ Kapucu, İbrahi̇m Develi̇
Turkish Journal of Electrical Engineering and Computer Sciences
This paper investigates the bit error rate (BER) performance of interleave-division multiple access (IDMA) schemes to show the effect of repetition coding on the system performance. The considered system is tested in the presence of repetition coding by varying system parameters such as number of simultaneous users, data length, spread length, iteration number, and code rate over additive white Gaussian noise channels. In addition, the performance of the considered system is also illustrated in Rayleigh flat fading channels for a more realistic scenario. Our simulation results show that the BER performance of IDMA systems with repetition coding can achieve significant …
An Efficient Hybrid Eye Detection Method, Mingxin Yu, Yingzi Lin, Xiangzhou Wang
An Efficient Hybrid Eye Detection Method, Mingxin Yu, Yingzi Lin, Xiangzhou Wang
Turkish Journal of Electrical Engineering and Computer Sciences
Eye detection is the most important and critical task of diverse applications such as face detection and recognition. However, most eye detection methods do not fully consider detection robustness to people with glasses, illumination variation, head pose change, and eye occlusions. This paper proposes an efficient hybrid eye detection method based on a gray intensity variance filter (VF) and support vector machines (SVMs). Firstly, the VF is used for eliminating most of noneye region images to keep less candidate eye regions. Then accurate two eye regions are determined easily through the trained SVM classifier. Moreover, this paper provides an assessment …
Power Management Using Dynamic Power State Transitions And Dynamic Voltage Frequency Scaling Controls In Virtualized Server Clusters, Mohan Raj Velayudhan Kumar, Shriram Raghunathan
Power Management Using Dynamic Power State Transitions And Dynamic Voltage Frequency Scaling Controls In Virtualized Server Clusters, Mohan Raj Velayudhan Kumar, Shriram Raghunathan
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
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.
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 …
Electric Arc Furnace Power Quality Improvement By Applying A New Digital And Predicted-Based Tsc Control, Mehdi Torabian Esfahani, Behrooz Vahidi
Electric Arc Furnace Power Quality Improvement By Applying A New Digital And Predicted-Based Tsc Control, Mehdi Torabian Esfahani, Behrooz Vahidi
Turkish Journal of Electrical Engineering and Computer Sciences
Static VAR compensators (SVC) can improve some of the power quality (PQ) indices such as voltage flicker, unbalances, and power factors in power systems if properly controlled. Different nonlinear and time-varying loads generate these parameters. One of the great nonlinear loads is the electric arc furnace (EAF), which causes waveform distortions, voltage unbalances, and fluctuations. In this paper, a new digital and prediction-based control for thyristor switched capacitors (TSCs) was proposed to compensate an actual steel industrial plant. The digital control was based on generating adequate synchronous pulses, calculating required suitable susceptance, and measuring correct reactive power. The proposed TSC …
Development Of Derivation Of Inverse Jacobian Matrices For 195 6-Dof Gsp Mechanisms, Meti̇n Toz, Serdar Küçük
Development Of Derivation Of Inverse Jacobian Matrices For 195 6-Dof Gsp Mechanisms, Meti̇n Toz, Serdar Küçük
Turkish Journal of Electrical Engineering and Computer Sciences
One of the key issues in robotics is finding high-performance manipulator structures. To evaluate the performance of a parallel manipulator, researchers mostly use kinematic performance indices (such as condition number, minimum singular value, dexterity, and manipulability), which are based on inverse Jacobian matrices. Driving the inverse Jacobian matrix of even one parallel manipulator is a very cumbersome process. However, in this paper, general equations for the inverse Jacobian matrices of 195 GSP mechanisms are symbolically derived by considering 4 basic leg types having 1 angular and 4 distance constraints. With the help of these general equations, the development of the …
A Problem Approximation Surrogate Model (Pasm) For Fitness Approximation In Optimizing The Quantization Table For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan
A Problem Approximation Surrogate Model (Pasm) For Fitness Approximation In Optimizing The Quantization Table For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan
Turkish Journal of Electrical Engineering and Computer Sciences
The quantization table in the baseline Joint Photographic Experts Group (JPEG) algorithm plays an important role in compression/quality trade-off. Hence the detection of the optimal quantization table is viewed as an optimization problem. The genetic algorithm (GA) is an attractive optimization tool by many researchers for this application due to its ability in dealing with complex problems. In spite of its advantages, the GA requires more computation time to achieve an optimal solution if it has an expensive fitness evaluation. This paper proposes a problem approximation surrogate model (PASM) for fitness approximation to assist the GA in optimizing the quantization …
A Centralized Self-Adaptive Fault Tolerance Approach Based On Feedback Control For Multiagent Systems, Şebnem Bora, Oğuz Di̇kenelli̇
A Centralized Self-Adaptive Fault Tolerance Approach Based On Feedback Control For Multiagent Systems, Şebnem Bora, Oğuz Di̇kenelli̇
Turkish Journal of Electrical Engineering and Computer Sciences
Our research introduces a self-adaptive fault tolerance approach for multiagent systems that enables the system to avoid crash failures. It is a replication-based approach that exploits a feedback control loop and a proportional (P) controller within a replication infrastructure. Thus, we are able to both observe the agents' behaviors to estimate criticalities and determine the number of replicas in replica groups with respect to the agents' criticalities and the number of available resources. Thus, agents that are to be replicated and the numbers of replicas in replica groups are automatically and adaptively identified in dynamic environments. We implement this approach …
Double Bow-Tie Fss For X-Band And K$_U$-Band Operations With Its Parametric Analyses, Selma Çi̇ğdem, Ci̇han Tunca, Sultan Can, Asim Egemen Yilmaz
Double Bow-Tie Fss For X-Band And K$_U$-Band Operations With Its Parametric Analyses, Selma Çi̇ğdem, Ci̇han Tunca, Sultan Can, Asim Egemen Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
This paper demonstrates double bow-tie frequency selective surface (FSS) geometry for X-band applications with a bandwidth value of 1.82 GHz and K$_u$-band applications with a bandwidth value of 3.44 GHz. Throughout this study, parametric analyses of the proposed structure are also performed. Alterations in the reflection and transmission characteristics of this specially designed structure by virtue of defined variables are analyzed. Those variables are determined by considering the geometric and material properties of the proposed structure. To analyze the reflection and transmission coefficients, two different simulators, namely the High Frequency Structure Simulator (ANSYS HFSS), which is based on the finite …
A New Algorithm For Avoiding Maloperation Of Transformer Restricted Earth Fault Protection Caused By The Transformer Magnetizing Inrush Current And Current Transformer Saturation, Jelisaveta Krstivojevic, Milenko Djuric
A New Algorithm For Avoiding Maloperation Of Transformer Restricted Earth Fault Protection Caused By The Transformer Magnetizing Inrush Current And Current Transformer Saturation, Jelisaveta Krstivojevic, Milenko Djuric
Turkish Journal of Electrical Engineering and Computer Sciences
Owing to current transformer (CT) saturation caused by a decaying direct current component in the magnetizing inrush current, the restricted earth fault (REF) protection of a power transformer could maloperate during magnetizing inrush. This paper presents a new transformer restricted earth fault relay algorithm that can prevent false relay tripping and provide proper action during the energization of a faulty transformer. The integral of the product of the signals that are compared is calculated over 1 half-period of the signals. The performance of the proposed algorithm is tested and verified using a large number of transformer energization trials and fault …
Effect Of Load Increase And Power System Stabilizer On Stability Delay Margin Of A Generator Excitation Control System, Şahi̇n Sönmez, Saffet Ayasun
Effect Of Load Increase And Power System Stabilizer On Stability Delay Margin Of A Generator Excitation Control System, Şahi̇n Sönmez, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
This paper studies the impact of load increase and a power system stabilizer (PSS) on the stability delay margin of a single-machine-infinite-bus system including an automatic voltage regulator. An analytical method is proposed to determine the stability delay margin of the excitation control system. The proposed method first eliminates transcendental terms in the characteristic equation of the excitation system without making any approximation and transforms the transcendental characteristic equation into a regular polynomial. The key result of the elimination process is that the real roots of the new polynomial correspond to the imaginary roots of the transcendental characteristic equation. With …
The Parallel Resonance Impedance Detection Method For Parameter Estimation Of Power Line And Transformer By Using Csa, Ga, And Pso, Bahadir Akbal, Abdullah Ürkmez
The Parallel Resonance Impedance Detection Method For Parameter Estimation Of Power Line And Transformer By Using Csa, Ga, And Pso, Bahadir Akbal, Abdullah Ürkmez
Turkish Journal of Electrical Engineering and Computer Sciences
Power line parameters are an important factor in relay applications and power quality studies. In the literature, the phasor measurement unit method and measuring of current and voltage at two ends of the power line were usually used to estimate the power line parameters. In this study, the parallel resonance impedance detection method was used to estimate the power line parameter to obtain input data. The real measurement values are used to obtain parallel resonance impedance in this method. The real measurement values include the measurement errors of the current and voltage transformer. Thus, the estimated parameter values are realistic. …
Noise Adjusted Version Of Generalized Principal Component Analysis, Mojtaba Amini-Omam, Farah Torkamani Azar
Noise Adjusted Version Of Generalized Principal Component Analysis, Mojtaba Amini-Omam, Farah Torkamani Azar
Turkish Journal of Electrical Engineering and Computer Sciences
Principal component analysis (PCA) is a well-known tool in image processing, especially in dimension reduction schemes. Since using PCA is based on the vector representation of the image, the spatial locality of pixels in the image is not considered. However, generalized PCA (GPCA) could be applied to images in two dimensional spaces. Both schemes do not consider the noisy case of signals. Noise adjusted PCA (NAPCA) tries to find new coordinates for signal representation based on signal to noise ratio (SNR) maximization. In this paper we generalized noise adjusted GPCA to benefit the advantage of GPCA and SNR maximization case …
Stochastic Congestion Management Considering Power System Uncertainties: A Chance-Constrained Programming Approach, Mehrdad Hojjat, Mohammad Hossein Javidi, Dariush Yazdanpanah
Stochastic Congestion Management Considering Power System Uncertainties: A Chance-Constrained Programming Approach, Mehrdad Hojjat, Mohammad Hossein Javidi, Dariush Yazdanpanah
Turkish Journal of Electrical Engineering and Computer Sciences
Considering system uncertainties in developing power systems, algorithms such as congestion management (CM) are vital in power system analysis and studies. This paper proposes a new model for power system CM by considering power system uncertainties based on chance-constrained programming (CCP). In the proposed approach, transmission constraints are taken into account by stochastic, instead of deterministic, models. The proposed approach considers network uncertainties with a specific level of probability in the optimization process, and then an analytical approach is used to solve the new model of stochastic congestion management. In this approach, the stochastic optimization problem is transformed into an …
A Robust Estimator-Based Optimal Algebraic Approach To Steam Generator Feedwater Control System, Günyaz Ablay
A Robust Estimator-Based Optimal Algebraic Approach To Steam Generator Feedwater Control System, Günyaz Ablay
Turkish Journal of Electrical Engineering and Computer Sciences
Feedwater control systems are used to maintain the steam generator water level within prescribed narrow limits and to provide constant supply of steam during power demand variations. Current feedwater control systems are often found to be unsatisfactory during startup and low power operations. A robust nonlinear estimator-based optimal algebraic control is developed for feedwater control systems to solve the water level tracking problem during power demand variations. It is shown that the proposed control provides an optimal and robust water level tracking with a single automatic controller over the complete range of power operations in the presence of plant uncertainties …
Fast And De-Noise Support Vector Machine Training Method Based On Fuzzy Clustering Method For Large Real World Datasets, Omid Naghash Almasi, Modjtaba Rouhani
Fast And De-Noise Support Vector Machine Training Method Based On Fuzzy Clustering Method For Large Real World Datasets, Omid Naghash Almasi, Modjtaba Rouhani
Turkish Journal of Electrical Engineering and Computer Sciences
Classifying large and real-world datasets is a challenging problem in machine learning algorithms. Among the machine learning methods, the support vector machine (SVM) is a well-known approach with high generalization ability. Unfortunately, while the number of training data increases and the data contain noise, the performance of SVM significantly decreases. In this paper, a fast and de-noise two-stage method for training SVMs to deal with large, real-world datasets is proposed. In the first stage, data that contain noises or are suspected to be noisy are identified and eliminated from the genuine training dataset. The process of elimination and identification is …
Behavior-Based Detection Of Application Layer Distributed Denial Of Service Attacks During Flash Events, Renukadevi Saravanan, Saraswathi Shanmuganathan, Yogesh Palanichamy
Behavior-Based Detection Of Application Layer Distributed Denial Of Service Attacks During Flash Events, Renukadevi Saravanan, Saraswathi Shanmuganathan, Yogesh Palanichamy
Turkish Journal of Electrical Engineering and Computer Sciences
Distributed denial of service (DDoS) attacks are ever threatening to the developers and users of the Internet. DDoS attacks targeted at the application layer are especially difficult to be detected since they mimic the legitimate users' requests. The situation becomes more serious when they occur during flash events. A more sophisticated algorithm is required to detect such attacks during a flash crowd. A few existing works make use of flow similarity for differentiating flash crowds and DDoS, but flow characteristics alone cannot be used for effective detection. In this paper, we propose a novel mechanism for discriminating DDoS and flash …
Sensorless Velocity And Direction Angle Control Of An Unmanned Vehicle, Adnan Derdi̇yok, Abdullah Başçi̇
Sensorless Velocity And Direction Angle Control Of An Unmanned Vehicle, Adnan Derdi̇yok, Abdullah Başçi̇
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper an observer based on measured and estimated currents and a kinematic model is designed to estimate the velocity and direction angle of an unmanned vehicle (UV). The Lyapunov stability theory is used to establish the stability conditions for the observer. It is shown that the observer will converge in a finite time and the observer gains satisfy the constraints of the stability conditions. The observed velocity and direction angle are used in the closed loop instead of measured ones for sensorless control of the UV. The velocity and direction angle control of the UV are carried out …
Discriminant-Based Bistability Analysis Of A Tmg-Induced Lac Operon Model Supported With Boundedness And Local Stability Results, Nesli̇han Avcu, Güleser Kalayci Demi̇r, Ferhan Pekergi̇n, Hakan Alyürük, Levent Çavaş, Cüneyt Güzeli̇ş
Discriminant-Based Bistability Analysis Of A Tmg-Induced Lac Operon Model Supported With Boundedness And Local Stability Results, Nesli̇han Avcu, Güleser Kalayci Demi̇r, Ferhan Pekergi̇n, Hakan Alyürük, Levent Çavaş, Cüneyt Güzeli̇ş
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the results of a theoretical and numerical study on the analysis of bistable behavior of the most studied gene regulatory network, the lac operon, in terms of the model parameters. The boundedness of the state variables for the considered model are demonstrated, the parameter values providing the existence of the multiple equilibria and thus the bistable behavior are determined, and a local stability analysis of the equilibria is performed. The parameter region yielding the existence of multiple equilibria is determined in an algebraic way based on discriminants. The model given in the state equation form is defined …
Prediction-Based Reversible Image Watermarking Using Artificial Neural Networks, Mahsa Afsharizadeh, Majid Mohammadi
Prediction-Based Reversible Image Watermarking Using Artificial Neural Networks, Mahsa Afsharizadeh, Majid Mohammadi
Turkish Journal of Electrical Engineering and Computer Sciences
In prediction-based reversible watermarking schemes, watermark bits are embedded in the prediction errors. An accurate prediction results in smaller prediction errors, more efficient embedding, and less distortion for the watermarked image. In this paper, an accurate prediction is made using artificial neural networks. Before the embedding operation, 2 neural networks are trained by the pixel values of the image. Then the trained neural networks predict the pixel values that are used in the embedding operation. Due to the training ability of the neural networks, the prediction will be more accurate than the averaging technique. Experimental results show that the proposed …
An Advanced Optimization Technique For Considering Reliability Issues And Unit Commitment Problems Simultaneously, Ahmad Heidari, Mohammad Reza Alizadeh Pahlavani, Hamid Dehghani
An Advanced Optimization Technique For Considering Reliability Issues And Unit Commitment Problems Simultaneously, Ahmad Heidari, Mohammad Reza Alizadeh Pahlavani, Hamid Dehghani
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents an advanced optimization technique to solve unit commitment problems and reliability issues simultaneously for thermal generating units. To solve unit commitment, generalized Benders decomposition along with a genetic algorithm are proposed to include minimum up/down time constraints, and for reliability issues consideration, a fuzzy stochastic-based technique is presented. To implement the problem into an optimization program, MATLAB software and CPLEX and KNITRO solvers are applied. To verify the proposed technique and algorithm, two case studies, the IEEE 14- and 118-bus systems, are implemented for optimal generation scheduling and reliability issues. Finally, a comparison with other solution techniques …
Specification And Formal Verification Of Safety Properties In A Point Automation System, İbrahi̇m Şener, Özgür Turay Kaymakçi, İlker Üstoğlu, Gali̇p Cansever
Specification And Formal Verification Of Safety Properties In A Point Automation System, İbrahi̇m Şener, Özgür Turay Kaymakçi, İlker Üstoğlu, Gali̇p Cansever
Turkish Journal of Electrical Engineering and Computer Sciences
Railroad transportation systems are an area that poses the threat of causing huge risk for both the environment and people if an error emerges during operation. For this reason, designing and developing relevant products in this area is challenging. What is more, methods to be utilized for the purposes of minimizing risk susceptibility are to be specified by international standards. While relevant standards strongly recommend that some methods be utilized based on the desired safety integrity level during the development phase, some methods are not recommended to be utilized. CENELEC 50128 strongly recommends the utilization of timed-arc Petri nets during …
Power Flow Controlling Using Sssc Based On Matrix Converter Via Sa-Pso Algorithm, Ali Ajami, Farhad Mohajel Kazemi
Power Flow Controlling Using Sssc Based On Matrix Converter Via Sa-Pso Algorithm, Ali Ajami, Farhad Mohajel Kazemi
Turkish Journal of Electrical Engineering and Computer Sciences
The static synchronous series compensator (SSSC) is one of the series flexible AC transmission system (FACTS) devices that can be used in power flow control and reactive compensation in transmission lines. In this paper, a new configuration of SSSC based on a matrix converter is presented. The proposed SSSC has some advantages such as elimination of the DC link, bidirectional power flow control capability, fast dynamic response, and simple control system. By presenting a switching algorithm for the AC-AC matrix converter, an almost sinusoidal series compensation voltage is injected to the transmission line with low total harmonic distortion. In this …
A Simple Hybrid Method For Segmenting Vessel Structures In Retinal Fundus Images, Cemal Köse
A Simple Hybrid Method For Segmenting Vessel Structures In Retinal Fundus Images, Cemal Köse
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a simple, fast, and efficient hybrid segmentation method is presented for extracting vessel structures in retinal fundus images. Basically, this hybrid approach combines circular and naive Bayes classifiers to extract blood vessels in retinal fundus images. The circular method samples pixels along the enlarging circles centered at the current pixel and classifies the current pixel as vessel or nonvessel. An elimination technique is then employed to eliminate the nonvessel fragments from the processed image. The naive Bayes method as a supervised technique uses a very small set of features to segment retinal vessels in retinal images. The …
A Facial Component-Based System For Emotion Classification, Elena Sönmez, Songül Albayrak
A Facial Component-Based System For Emotion Classification, Elena Sönmez, Songül Albayrak
Turkish Journal of Electrical Engineering and Computer Sciences
Smart environments with ubiquitous computers are the next generation of information technology, which requires improved human--computer interfaces. That is, the computer of the future must be aware of the people in its environment; it must know their identities and must understand their moods. Despite the great effort made in the past decades, the development of a system capable of automatic facial emotion recognition is still rather difficult. In this paper, we challenge the benchmark algorithm on emotion classification of the Extended Cohn-Kanade (CK$+)$ database, and we present a facial component-based system for emotion classification, which beats the given benchmark performance: …