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Articles 1681 - 1710 of 3020
Full-Text Articles in Physical Sciences and Mathematics
Regularized Estimation Of Hammerstein Systems Using A Decomposition-Based Iterative Instrumental Variable Method, Vikram Saini, Lillie Dewan
Regularized Estimation Of Hammerstein Systems Using A Decomposition-Based Iterative Instrumental Variable Method, Vikram Saini, Lillie Dewan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a two-step instrumental variable (IV) method to obtain the regularized and consistent parameter estimates of the Hammerstein ARMAX model based on the bilinear parameterized form. The two-step identification method consists of estimating the bilinear parameters in the first step, followed by parameter reduction in the second step. An iterative identification method is proposed, based on the idea of separating the bilinear form in the two separable forms with partial parameters and solving the decomposed model forms iteratively. The IV-based estimation is integrated into the formulated decomposed structure by introducing the instruments constructed from the estimated auxiliary model …
Investigation Of The Computational Speed Of Laguerre Network-Based Mpc In The Thermal Control Of Energy-Efficient Buildings, Ercan Atam
Turkish Journal of Electrical Engineering and Computer Sciences
The design of computationally efficient model predictive control (MPC) systems for the thermal control of buildings is a challenging task since long prediction horizons may be needed, which can take a significant computational time, especially when multizone buildings are considered. In this paper, we investigate the computational performance of a potential approach for this purpose, Laguerre network-based MPC (LN-MPC), for thermal control of buildings, where parameterization of control input over the prediction horizon is used to reduce the number of decision variables. The computational performance of the suggested framework with comparison to the classical MPC framework is investigated through a …
Design Of Adjustable T-Shaped And Y-Shaped Photonic Crystal Power Splitters For Tm And Te Polarizations, Mohammad Danaie, Ruhllah Nasirifar, Abbas Dideban
Design Of Adjustable T-Shaped And Y-Shaped Photonic Crystal Power Splitters For Tm And Te Polarizations, Mohammad Danaie, Ruhllah Nasirifar, Abbas Dideban
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, new topologies for realization of photonic crystal optical power splitters for TE and TM modes are proposed. The presented structures can be used for dividing input power with a desired ratio to output ports. The central input wavelength is designed for 1550 nm. To obtain wide-bandwidth power splitters for TE and TM modes, modified Y-shaped and T-shaped photonic crystal junctions are used. A triangular lattice of air holes and a square lattice of rods are used for Y-shaped and T-shaped platforms, respectively. For analyzing these structures, plane wave expansion and finite difference time domain methods are used. …
Power Oscillation Damping Control By Pss And Dfig Wind Turbine Under Multiple Operating Conditions, Korakot Thanpisit, Issarachai Ngamroo
Power Oscillation Damping Control By Pss And Dfig Wind Turbine Under Multiple Operating Conditions, Korakot Thanpisit, Issarachai Ngamroo
Turkish Journal of Electrical Engineering and Computer Sciences
Multiple operating conditions in power systems including wind power sources significantly affect the damping of low frequency oscillation modes due to diverse generating and loading conditions, random wind speeds, line outage contingencies, etc. To cope with multiple operating conditions, this paper proposes the new parameter optimization technique of the power system stabilizer (PSS) and the doubly-fed induction generator (DFIG) wind turbine with the power oscillation damper (POD) based on the probability method. Different operating conditions are randomly generated by Monte Carlo simulation. Under the generated operating points, the particle swarm optimization of PSS and POD parameters is carried out to …
A Simple Approach To Extract The Unknown Parameters Of Pv Modules, Ahmed Hussein
A Simple Approach To Extract The Unknown Parameters Of Pv Modules, Ahmed Hussein
Turkish Journal of Electrical Engineering and Computer Sciences
A simple and accurate technique to compute essential parameters needed for electrical characterization of photovoltaic (PV) modules is proposed. A single-diode model of PV modules, including those with series and shunt resistances, is considered accurate and simple. However, PV module datasheets provided by manufacturers provide current-voltage ($I$-$V)$ characteristics as well as the values of selected parameters at standard test conditions (STC), i.e. solar radiation of 1000 W/m$^{2}$, air temperature of 25 $^{\circ}$C, and air mass AM = 1.5. Consequently, important parameters such as series resistance ($R_{s})$, shunt resistance ($R_{sh})$, photocurrent ($I_{ph})$, and diode reverse-saturation current ($I_{o})$ are not provided by …
A Novel Microstrip Diplexer Design With Tunable Bandwidths And Switchable Channels For 4.5g Applications, Ali̇ Kürşad Görür, Pinar Öztürk Özdemi̇r, Eli̇f Güntürkün Şahi̇n, Ceyhun Karpuz
A Novel Microstrip Diplexer Design With Tunable Bandwidths And Switchable Channels For 4.5g Applications, Ali̇ Kürşad Görür, Pinar Öztürk Özdemi̇r, Eli̇f Güntürkün Şahi̇n, Ceyhun Karpuz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a novel microstrip diplexer with tunable bandwidths and switchable channels is presented by using dual-mode square loop resonators (DMSLRs). Two resonators at different electrical lengths are coupled to input and output ports with lumped capacitors, and the isolation between the output ports is optimized by means of these capacitors. In order to obtain tunable bandwidth in each channel, varactor diodes are located at the orthogonal corners of the proposed resonators. In addition, the proposed resonators have reference patch elements at the lateral arms to provide convenience of varactor diode capacitances, such as perturbation elements. Depending on the …
A Novel And Realistic Hybrid Downlink-Uplink Coupled/Decoupled Access Scheme For 5g Hetnets, Nadeem Sial, Junaid Ahmed
A Novel And Realistic Hybrid Downlink-Uplink Coupled/Decoupled Access Scheme For 5g Hetnets, Nadeem Sial, Junaid Ahmed
Turkish Journal of Electrical Engineering and Computer Sciences
Cell association in present day heterogeneous networks (HetNets) is still based on the technique used by homogeneous cellular networks despite power and coverage area disparities of network nodes. In ongoing policy, both uplink (UL) and downlink (DL) associations are coupled based on DL characteristics, which introduces UL-DL asymmetry and cell load imbalances. Recently, decoupled cell association, also known as downlink-uplink decoupling (DUDe), has been introduced in 3rd Generation Partnership Project (3GPP) Release 12 to improve uplink performance, load balancing, and cell capacity. In DUDe, characteristics of both DL and UL channels can be considered. By using this concept, various theoretical …
Analysis And Design Of An Invisibility Cloak Based On Transformation Optics At Microwave Frequencies, Maryam Bayati, Masood Omoomi
Analysis And Design Of An Invisibility Cloak Based On Transformation Optics At Microwave Frequencies, Maryam Bayati, Masood Omoomi
Turkish Journal of Electrical Engineering and Computer Sciences
Invisibility cloaks can be constructed with electromagnetic metamaterials. In this paper, structural metamaterials are used to design an invisibility cloak. To this end, transformation optics is used to design electromagnetic parameters. These parameters are selected so that when we excite the cloak its presence does not perturb radiated fields. Therefore, we formulate the electric field both at the inner and outer parts of the cloak, when the excitation source is placed both inside and outside, and we show that the scattered fields will be suppressed due to its presence. Finally, simulation results verify that the invisibility cloak is well designed …
Development And Experimental Evaluation Of A 3d Ultra-Wideband Localization System, Ali Muqaibel
Development And Experimental Evaluation Of A 3d Ultra-Wideband Localization System, Ali Muqaibel
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, an ultra-wideband (UWB) synthetic aperture radar system that can perform 3D localization of objects is implemented. The system consists of a moving platform that positions two UWB horn antennas. The 3D image construction is performed using the delay-sum beamforming algorithm. Experiments were performed using two data acquisition techniques, namely, background measurements technique and change detection. The former can be used for imaging stationary targets while the latter is applicable for moving objects. At different distances and orientations from the antennas, various targets were imaged. Through-wall imaging was also considered. The system is augmented with a graphical user …
An Adaptive Clustering Segmentation Algorithm Based On Fcm, Jun Yang, Yun-Sheng Ke, Mao-Zheng Wang
An Adaptive Clustering Segmentation Algorithm Based On Fcm, Jun Yang, Yun-Sheng Ke, Mao-Zheng Wang
Turkish Journal of Electrical Engineering and Computer Sciences
The cluster number and the initial clustering centers must be reasonably set before the analysis of clustering in most cases. Traditional clustering segmentation algorithms have many shortcomings, such as high reliance on the specially established initial clustering center, tendency to fall into the local maximum point, and poor performance with multithreshold values. To overcome these defects, an adaptive fuzzy C-means segmentation algorithm based on a histogram (AFCMH), which synthesizes both main peaks of the histogram and optimized Otsu criterion, is proposed. First, the main peaks of the histogram are chosen by operations like histogram smoothing, merging of adjacent peaks, and …
Two-Bit Transform Using Local Binary Pattern Method For Low-Complexity Block Motion Estimation, Aysun Taşyapi Çelebi̇
Two-Bit Transform Using Local Binary Pattern Method For Low-Complexity Block Motion Estimation, Aysun Taşyapi Çelebi̇
Turkish Journal of Electrical Engineering and Computer Sciences
Low bit-depth representation-based motion estimation approaches have been drawing considerable attention recently, mainly because of their small hardware footprint. In this paper, a new two-bit transform using a local binary pattern (LBP) for low-complexity motion estimation is proposed. The proposed approach utilizes the LBP method to obtain two-bit representations of video frames in the binarization process. Video frames are transformed into their low bit-depth representations by the LBP and then a motion estimation process is carried out using these binary frames. A Boolean exclusive-OR operation is used to calculate the number of nonmatching points metric instead of the conventional sum …
Lifetime Maximization Of Wireless Sensor Networks With Sink Costs, Muhammed Emre Keski̇n
Lifetime Maximization Of Wireless Sensor Networks With Sink Costs, Muhammed Emre Keski̇n
Turkish Journal of Electrical Engineering and Computer Sciences
Balanced distribution of the energy load of the sensors is important for the elongation of wireless sensor network (WSN) lifetimes. There are four main WSN design issues affecting the energy distribution among the sensors: sensor locations, sensor activity schedules, mobile sink routes, and data flow routes. Many studies try to make energy usage more efficient through optimal determination of these design issues. However, only very few studies handle these four design issues in a combined manner. Additionally, the cost of the sinks is neglected in all studies. In this study, a mixed integer linear program is first proposed, in which …
A Modified Two-Degree Of Freedom-Internal Model Control Configuration For Load Frequency Control Of A Single Area Power System, Bheem Sonker, Deepak Kumar, Paulson Samuel
A Modified Two-Degree Of Freedom-Internal Model Control Configuration For Load Frequency Control Of A Single Area Power System, Bheem Sonker, Deepak Kumar, Paulson Samuel
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we propose a modified two degree-of-freedom internal model control structure, with dual feedback loop configuration for the load frequency control problem of a single-area power system. Our main objective is to achieve better transient and steady state performance. The predictive model of the proposed configuration is derived through the stability equation method, which preserves the stability of the model. The proposed scheme is simulated for a single-area power system with nonreheated turbine and 50% parametric uncertainty. It is observed from the responses and the performance indices that the proposed control configuration gives better results compared to well-known …
Power Search Algorithm (Psa) For Combined Economic-Emission Dispatch Problems Considering Valve Point Effects In Economic Load Dispatch, Prakash Arumugam, Ravichandran Coimbatore Subramanian
Power Search Algorithm (Psa) For Combined Economic-Emission Dispatch Problems Considering Valve Point Effects In Economic Load Dispatch, Prakash Arumugam, Ravichandran Coimbatore Subramanian
Turkish Journal of Electrical Engineering and Computer Sciences
Economic load dispatch has become the prime and major concern in power system networks. Use of nonrenewable fuels as an input to power systems results in toxic gas emission and depletion of resources for future generations. Allocation of optimal power to generators serves as a solution to this issue. The suggested power search algorithm (PSA) is a novel solution for the reduction of the fuel cost, emissions, and power loss. This algorithm searches its solution inside the search space from minimum to maximum in case of forward search. The global optimum solution is obtained with much less execution time compared …
Markovian Model For Reliability Assessment Of Microgrids Considering Load Transfer Restriction, Mohammad Almuhaini, Abdulrahman Al-Sakkaf
Markovian Model For Reliability Assessment Of Microgrids Considering Load Transfer Restriction, Mohammad Almuhaini, Abdulrahman Al-Sakkaf
Turkish Journal of Electrical Engineering and Computer Sciences
Reliability is an indispensable factor in power system design and operation and has a significant impact on grid safety and economy. Future power distribution systems are expected to be more sophisticated, owing to the increasing penetration of renewable resources and adoption of advanced information and communication technologies. Extant studies in this field tend to focus on the modeling and assessment of the reliability of future microgrid distribution systems, including distributed generation, without considering networked configuration and limited transfer capacity. In the work presented in this paper, a Markov model is implemented to perform a practical and accurate reliability evaluation of …
Optimal Reactive Power Flow In Bdfms For Converter Cost Reduction And Efficiency Improvement, Behzad Jandaghi, Hamed Gorginpour, Mohammad Naser Hashemnia, Hashem Oraee
Optimal Reactive Power Flow In Bdfms For Converter Cost Reduction And Efficiency Improvement, Behzad Jandaghi, Hamed Gorginpour, Mohammad Naser Hashemnia, Hashem Oraee
Turkish Journal of Electrical Engineering and Computer Sciences
A brushless doubly fed machine is equipped with two decoupled windings on its stator, known as the power winding and the control winding. The power winding reactive power can be controlled by voltage amplitude fed by the machine-side converter to the control winding, affecting both the converter size and machine efficiency. This paper investigates different proposed scenarios for optimal reactive power flow targeted to minimize the converter cost and maximize the machine efficiency. Previously, the grid-side converter has not been used for reactive power compensation. However, in the present paper it is shown how the grid-side converter can be effectively …
Design Optimization Of Distribution Transformers With Nature-Inspired Metaheuristics: A Comparative Analysis, Levent Alhan, Nejat Yumuşak
Design Optimization Of Distribution Transformers With Nature-Inspired Metaheuristics: A Comparative Analysis, Levent Alhan, Nejat Yumuşak
Turkish Journal of Electrical Engineering and Computer Sciences
Many economies in the world have adopted energy-efficiency requirements or incentive programs mandating or promoting the use of energy-efficient transformers. On the other hand, increases in transformer efficiency are subject to increases in transformer weight and size, sometimes as much as 50% or more. The transformer manufacturing industry is therefore faced with the challenge to develop truly optimum designs. Transformer design optimization (TDO) is a mixed-integer nonlinear programming problem having a complex and discontinuous objective function and constraints, with the objective of detailed calculation of the characteristics of a transformer based on national and/or international standards and transformer user requirements, …
Calculation Of Current Limiting Reactance Of Hybrid Sfcl For Low Voltage Ride-Through Capability Enhancement In Dfig Wind Farms, Sillawat Romphochai, Komsan Hongesombut
Calculation Of Current Limiting Reactance Of Hybrid Sfcl For Low Voltage Ride-Through Capability Enhancement In Dfig Wind Farms, Sillawat Romphochai, Komsan Hongesombut
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new approach for the low voltage ride-through capability enhancement of doubly-fed induction generator (DFIG) wind farms using a hybrid superconducting fault current limiter (SFCL) of the first peak current limiting type, which has the advantage of a fast recovery time. A design for the hybrid SFCL, focusing on current limiting reactor (CLR) reactance calculation, is proposed in this paper to determine an appropriate value for the CLR reactance that satisfies the grid code requirements of the DFIG wind turbines. High-temperature superconductors (HTS) such as Bi-2212, YBCO, Bi-2223, Ti-2223, and Hg-1223 are investigated for use in the …
A Cooperative Neural Network Approach For Enhancing Data Traffic Prediction, Salihu Aish Abdulkarim, Isa Abdullahi Lawal
A Cooperative Neural Network Approach For Enhancing Data Traffic Prediction, Salihu Aish Abdulkarim, Isa Abdullahi Lawal
Turkish Journal of Electrical Engineering and Computer Sciences
This paper addresses the problem of learning a regression model for the prediction of data traffic in a cellular network. We proposed a cooperative learning strategy that involves two Jordan recurrent neural networks (JNNs) trained using the firefly algorithm (FFA) and resilient backpropagation algorithm (Rprop), respectively. While the cooperative capability of the learning process ensures the effectiveness of the regression model, the recurrent nature of the neural networks allows the model to handle temporally evolving data. Experiments were carried out to evaluate the proposed approach using high-speed downlink packet access data demand and throughput measurements collected from different cell sites …
Proposing A New Clustering Method To Detect Phishing Websites, Morteza Arab, Mohammad Karim Sohrabi
Proposing A New Clustering Method To Detect Phishing Websites, Morteza Arab, Mohammad Karim Sohrabi
Turkish Journal of Electrical Engineering and Computer Sciences
Phishing websites are fake ones that are developed by ill-intentioned people to imitate real and legal websites. Most of these types of web pages have high visual similarities to hustle the victims. The victims of phishing websites may give their bank accounts, passwords, credit card numbers, and other important information to the designers and owners of phishing websites. The increasing number of phishing websites has become a great challenge in e-business in general and in electronic banking specifically. In the present study, a novel framework based on model-based clustering is introduced to fight against phishing websites. First, a model is …
A Novel Empirical Sir-To-Cqi Mapping Rule For Dc-Hsdpa Systems, Çeti̇n Kurnaz, Begüm Korunur Engi̇z, Murat Oğuz Esenalp
A Novel Empirical Sir-To-Cqi Mapping Rule For Dc-Hsdpa Systems, Çeti̇n Kurnaz, Begüm Korunur Engi̇z, Murat Oğuz Esenalp
Turkish Journal of Electrical Engineering and Computer Sciences
This study aims to determine the mapping rule for signal-to-interference ratio (SIR) to channel quality indicator (CQI) based on DC-HSDPA real field measurements. The measurements were performed using the TEMS Investigation Tool at 85 different propagation mediums. The measurement results showed that the SIR-to-CQI mapping methods in the literature were insufficient to characterize actual radio environments; thus, proposal of a new empirical SIR-to-CQI mapping rule was aimed. This rule provides substantially better performance than the existing methods, and with this rule CQI can be generated from SIR with an accuracy of around 90% for DC-HSDPA systems.
A Predictive Modeling Approach For Improving Paddy Crop Productivity Using Data Mining Techniques, Anitha Arumugam
A Predictive Modeling Approach For Improving Paddy Crop Productivity Using Data Mining Techniques, Anitha Arumugam
Turkish Journal of Electrical Engineering and Computer Sciences
Agriculture has a great impact on the economy of developing countries. To provide food security for people, there is a need for improving the productivity of major crops. Rapidly changing climatic conditions and the cost of investment in agriculture are major barriers for small-holder farmers. The proposed research aims to develop a predictive model that provides a cultivation plan for farmers to get high yield of paddy crops using data mining techniques. Unlike statistical approaches, data mining techniques extract hidden knowledge through data analysis. The data set used in this research for mining process is real data collected from farmers …
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Turkish Journal of Electrical Engineering and Computer Sciences
Investigation of the effects of yarn parameters on fabric quality and finding important parameters to achieve desired fabric properties are important issues for the design process with the aim to meet the needs of the textile industry and the consumer for complex and specific requirements of functionality. Despite many statistical and mathematical studies that predict and reveal specific properties of utilized yarn and fabric materials, a number of challenges continue to exist when evaluated in many perspectives, such as discovering complex relationships among material properties in data. Data mining plays an important role in discovering hidden patterns from fabric data …
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
Turkish Journal of Electrical Engineering and Computer Sciences
This paper establishes a probabilistic scenario-based framework for the stochastic dynamic economic emission dispatch with unit commitment (SDEED-UC) problem, by considering wind power integration. The scenario generation and reduction method are implemented to describe wind power uncertainty. Accordingly, each wind power scenario is analyzed separately to determine the on/off status of the units. As for a predetermined significance level, the UC scheduling solution can be obtained with a probabilistic point of view, considering all the original scenarios. Then the SDEED problem is converted into a number of deterministic scheduling problems. For each scenario in the reduced set, an enhanced multiobjective …
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 …
Ann-Based Shepwm Using A Harmony Search On A New Multilevel Inverter Topology, Fayçal Chabni, Rachid Taleb, M'Hamed Helaimi
Ann-Based Shepwm Using A Harmony Search On A New Multilevel Inverter Topology, Fayçal Chabni, Rachid Taleb, M'Hamed Helaimi
Turkish Journal of Electrical Engineering and Computer Sciences
This article presents the application of the harmony search (HS) optimization algorithm for selective harmonic elimination PWM (SHEPWM) in a new topology of multilevel inverters with reduced number of electronic switching elements. The main objective of the harmonic elimination strategy is eliminating undesired low-rank harmonics in order to improve the quality of the output waveform. The harmonic elimination strategy is achieved by solving a system of nonlinear equations. In this paper harmony search optimization is applied using artificial neural networks (ANNs) on a new 21-level inverter topology. The algorithm is based on a music improvisation process. MATLAB programming software is …
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 …
Low-Power Voltage To A Frequency-Based Smart Temperature Sensor With +0.8/-0.75 $^{\Circ}$C Accuracy For -55 $^{\Circ}$C To 125 $^{\Circ}$C, Mudasir Bashir, Sreehari Rao Patri, Krishna Prasad
Low-Power Voltage To A Frequency-Based Smart Temperature Sensor With +0.8/-0.75 $^{\Circ}$C Accuracy For -55 $^{\Circ}$C To 125 $^{\Circ}$C, Mudasir Bashir, Sreehari Rao Patri, Krishna Prasad
Turkish Journal of Electrical Engineering and Computer Sciences
The high power densities in system-on-chips demand accurate, low power, and compact smart temperatures for thermal monitoring. In this paper, a low-power CMOS-based smart temperature sensor, operating in the subthreshold region, for military applications (-55 $^{\circ}$C to 125 $^{\circ}$C) is presented. The sensor exploits the thermal dependency of the threshold voltage of MOS transistors to generate a voltage proportional to absolute temperature ($V_{PTAT})$. A frequency locked loop technique is employed to generate frequency from $V_{PTAT}$. The frequency variation due to temperature is measured by counting the rising edge with an asynchronous 12-bit counter. The large die area and requirement of …
A Novel Hybrid Approach Based On A Chaotic Cloud Gravitational Search Algorithm To Complicated Image Template Matching, Weijia Cui, Yuzhu He
A Novel Hybrid Approach Based On A Chaotic Cloud Gravitational Search Algorithm To Complicated Image Template Matching, Weijia Cui, Yuzhu He
Turkish Journal of Electrical Engineering and Computer Sciences
Template matching is the process of accurately extracting the interesting regions in a source image according to reference templates. In this paper, the gravitational search algorithm (GSA) is employed as a novel search strategy for template matching. However, the basic GSA is easily trapped in a local optimum and has a poor exploitation ability. In this paper, to enhance the optimization performance of GSA, a novel cross-search strategy based on chaotic global search (CGS) and cloud local search (CLS) is incorporated into GSA. The new variant is named chaotic cloud GSA (CCGSA). CGS makes full use of the ergodicity of …
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 …