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Articles 2461 - 2490 of 3106
Full-Text Articles in Engineering
Estimation Of Fuel Cost Curve Parameters For Thermal Power Plants Using The Abc Algorithm, Yusuf Sönmez
Estimation Of Fuel Cost Curve Parameters For Thermal Power Plants Using The Abc Algorithm, Yusuf Sönmez
Turkish Journal of Electrical Engineering and Computer Sciences
The solution accuracy of economic dispatch problems is associated with the accuracy of the fuel cost curve parameters. Therefore, updating of these parameters is a very important issue to further improve the final accuracy of economic dispatch problems. Estimating the parameters of the fuel cost curve may be the best solution for this issue. This paper presents an application of the artificial bee colony (ABC) algorithm to estimate the fuel cost curve parameters of thermal power plants. In the estimation problem, 1st-, 2nd-, and 3rd-order fuel cost functions are used, and the estimation problem is formulated as an optimization one. …
Preserving Location Privacy For A Group Of Users, Maede Ashouri-Talouki, Ahmad Baraani Dastjerdi, Ali̇ Aydin Selçuk
Preserving Location Privacy For A Group Of Users, Maede Ashouri-Talouki, Ahmad Baraani Dastjerdi, Ali̇ Aydin Selçuk
Turkish Journal of Electrical Engineering and Computer Sciences
Location privacy is an interesting problem that has been receiving considerable attention. This problem has been widely discussed from the individual point of view; however, there exist only a few works that support location privacy for a group of users. In this paper we consider the problem of supporting location privacy for a group of users during the use of location-based services (LBSs). We assume a group of users who want to benefit from a LBS and find the nearest meeting place that minimizes their aggregate distance. Each user in this scenario wants to protect his or her location from …
Optimal Iterative Learning Control Design For Generator Voltage Regulation System, Mohsen Rezaei Estakhrouieh, Ali Akbar Gharaveisi
Optimal Iterative Learning Control Design For Generator Voltage Regulation System, Mohsen Rezaei Estakhrouieh, Ali Akbar Gharaveisi
Turkish Journal of Electrical Engineering and Computer Sciences
The purpose of this paper is to design a good tracking controller for the generator automatic voltage regulator (AVR) system. It uses an iterative learning control (ILC) algorithm as a control rule and tries to keep voltage error as low as possible, while replying to set point changes as fast as possible. Two models of ILC are discussed: P-type learning and linear quadratic (LQ) optimal design. The results of designing by LQ optimal method are compared with a Ziegler--Nichols proportional-integral-derivative (PID) controller. The effects of changing different parameters are investigated and illustrated by simulation. In order to provide better robustness …
Swarm Optimization Tuned Mamdani Fuzzy Controller For Diabetes Delayed Model, Mohammad Hassan Khooban, Davood Nazari Maryam Abadi, Alireza Alfi, Mehdi Siahi
Swarm Optimization Tuned Mamdani Fuzzy Controller For Diabetes Delayed Model, Mohammad Hassan Khooban, Davood Nazari Maryam Abadi, Alireza Alfi, Mehdi Siahi
Turkish Journal of Electrical Engineering and Computer Sciences
Diabetes is a chronic disease in which there are high levels of sugar in the blood. Insulin is a hormone that regulates the blood glucose level in the body. Diabetes mellitus can be caused by too little insulin, a resistance to insulin, or both. Although research activities on controlling blood glucose have been attempted to lower the blood glucose level in the quickest possible time, there are some shortages in the amount of the insulin injection. In this paper, a complete model of the glucose--insulin regulation system, which is a nonlinear delay differential model, is used. The purpose of this …
Negative Selection Algorithm For Dengue Outbreak Detection, Maryam Mousavi, Azuraliza Abu Bakar, Suhaila Zainudin, Zalizah Awang Long, Mazrura Sahani, Mohammadmahdi Vakilian
Negative Selection Algorithm For Dengue Outbreak Detection, Maryam Mousavi, Azuraliza Abu Bakar, Suhaila Zainudin, Zalizah Awang Long, Mazrura Sahani, Mohammadmahdi Vakilian
Turkish Journal of Electrical Engineering and Computer Sciences
Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system (AIS), is used for …
Modified Iterated Extended Kalman Particle Filter For Single Satellite Passive Tracking, Panlong Wu, Jianshou Kong, Yuming Bo
Modified Iterated Extended Kalman Particle Filter For Single Satellite Passive Tracking, Panlong Wu, Jianshou Kong, Yuming Bo
Turkish Journal of Electrical Engineering and Computer Sciences
Single satellite-to-satellite passive tracking techniques have great significance in space surveillance systems. A new passive modified iterated extended Kalman particle filter (MIEKPF) using bearings-only measurements in the Earth-Centered Inertial Coordinate System is proposed. The modified iterated extended Kalman filter (MIEKF), with a new maximum likelihood iteration termination criterion, is used to generate the proposal distribution of the MIEKPF. Moreover, a new measurement update equation of the MIEKF is derived by modifying the objective function of the Gauss--Newton iteration. The approximated second-order linearized state propagation equation, Jacobian matrix of state transfer, and measurement equations are derived in satellite 2-body movement. The …
The Development Of A Hardware- And Software-Based Simulation Platform For The Training Of Driver Candidates, Abdullah Çavuşoğlu, İsmai̇l Kurnaz
The Development Of A Hardware- And Software-Based Simulation Platform For The Training Of Driver Candidates, Abdullah Çavuşoğlu, İsmai̇l Kurnaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a traffic simulation system (TSS) to provide novice driver candidates with opportunities for training and testing has been developed. Autonomous vehicles that follow the flow of traffic in a microsimulation environment were prepared using a hierarchical concurrent state machine. Autonomous vehicles are skilled and have behavioral aspects such as tracking the lanes, following the vehicles, complying with traffic rules, decelerating, accelerating, and intersection crossings. These driver behaviors are parameterized to allow the autonomous agents to act while disregarding the rules (i.e. aggressive behaviors) or behaving normally. The TSS is operated in 3 different modes, namely the orientation, …
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Turkish Journal of Electrical Engineering and Computer Sciences
The gravitational search algorithm (GSA) is a novel heuristic method inspired by Newton's gravity and velocity equations. In addition, it is a population-based algorithm, in which each member (called an agent) in the population has a mass, velocity, and acceleration. Beginning with the first population state, agents influence each other via mass and velocity relations. This mutual effect causes agents to reach the optimum. Hence, the performance of the GSA to attain the optimum is related to the initial population formation, like other population-based algorithms. In this study, the orthogonal array (OA) concept is applied and injected to the GSA …
Spatiotemporal Model Checking Of Location And Mobility Related Security Policy Specifications, Devri̇m Ünal, Mehmet Ufuk Çağlayan
Spatiotemporal Model Checking Of Location And Mobility Related Security Policy Specifications, Devri̇m Ünal, Mehmet Ufuk Çağlayan
Turkish Journal of Electrical Engineering and Computer Sciences
For the formal verification of security in mobile networks, a requirement is that security policies associated with mobility and location constraints are formally specified and verified. For the formal specification and verification of security policies, formal methods ensure that a given network configuration that includes certain network elements satisfies a given security policy. A process calculus based approach is presented, where ambient calculus is used for formal specification of security policies and ambient logic is used for formal representation of mobility and location constraints. A spatiotemporal model checking algorithm is presented for the model checking of formal specifications in ambient …
Optimal Release Policies For A Software System With Warranty Cost And Change-Point Phenomenon, D.R. Prince Williams
Optimal Release Policies For A Software System With Warranty Cost And Change-Point Phenomenon, D.R. Prince Williams
Turkish Journal of Electrical Engineering and Computer Sciences
Determining the software quality and release time of the software is an important role of software reliability. Software reliability growth models (SRGMs) are applications of software reliability. The change-point is defined as the prominent change in the software testing time, in connection with the quality of a software error occurrence or error-detection phenomenon. As a result, the software reliability growth process, based on the change-point, affects the precision of the software reliability prediction, based on the SRGMs. To find the accurate total expected delivery cost with a suitable warranty period of the software system, a new cost model for the …
A New Technique For Rare-Event Simulation Based On Partition Of The Region, Amir Jalaly Bidgoly, Mohammad Abdollahi Azgomi
A New Technique For Rare-Event Simulation Based On Partition Of The Region, Amir Jalaly Bidgoly, Mohammad Abdollahi Azgomi
Turkish Journal of Electrical Engineering and Computer Sciences
Rare events are an important limitation of discrete-event simulation in some areas of applications. The existing rare-event simulation (RES) techniques, such as importance sampling (IS), splitting, and RESTART, have been used for RES so far. However, these techniques not only have some limitations, but also are not general or easy to use. In this paper, the partition of the region (PoR) method is used as a variance reduction technique in a new RES technique for usage with a wide range of modeling and simulation languages. Three variants of the proposed technique will be introduced: simple PoR, recursive PoR, and advanced …
Characterization Of Internal Disturbances And External Faults In Transformers Using An S-Transform--Based Algorithm, Abdolaziz Ashrafian, Mehrdad Rostami, Gevorg .B Gharehpetian
Characterization Of Internal Disturbances And External Faults In Transformers Using An S-Transform--Based Algorithm, Abdolaziz Ashrafian, Mehrdad Rostami, Gevorg .B Gharehpetian
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the S-transform is used to discriminate between the internal disturbances and external faults of transformers. The proposed algorithm consists of 2 stages. The internal disturbances and the external faults are distinguished in the first stage. Next, the S-transform is applied to differential currents of faulty phases and the absolute deviation of the S-matrix is calculated. The relay scheme issues a trip signal in the case of an internal fault, according to the absolute deviation of the S-matrix. The scheme is implemented in a MATLAB environment and the inputs are differential currents, derived from EMTP software. In order …
An Improved Hybrid Approach For The Plc-Based Implementation Of Reduced Rw Supervisors, Murat Uzam, Gökhan Gelen
An Improved Hybrid Approach For The Plc-Based Implementation Of Reduced Rw Supervisors, Murat Uzam, Gökhan Gelen
Turkish Journal of Electrical Engineering and Computer Sciences
A successful application of a hybrid (mixed Petri net/automaton) approach for the real-time supervisory control of an experimental manufacturing system was reported recently. The hybrid approach includes a Ramadge--Wonham (RW) supervisor in the form of an automaton. The reduced RW supervisor offers fewer states for the programmable logic controller (PLC) implementation of the hybrid controller with less memory requirements, but due to a problem called the avalanche effect, the PLC implementation of the hybrid controller with the reduced RW supervisor was not possible. This paper proposes a method to both detect and eliminate the avalanche effect problem for a RW …
Model Of A Photovoltaic Panel Emulator In Matlab-Simulink, Hayretti̇n Can
Model Of A Photovoltaic Panel Emulator In Matlab-Simulink, Hayretti̇n Can
Turkish Journal of Electrical Engineering and Computer Sciences
Being able to behave electrically similar to photovoltaic (PV) panels, PV emulator systems make it possible to perform different PV system tests under various operation conditions. In this paper, a model of a PV panel emulator is presented using the Power System Blockset under MATLAB-Simulink. The simulation of the emulator system is developed for testing a controller prior to a real-time implementation. The model can handle the dependence of all of the parameters in the model with respect to solar radiation and temperature. The simulation results show that the output characteristics of the simulator have good agreement with those of …
Stability Analysis Of Time-Delayed Dc Motor Speed Control System, Saffet Ayasun
Stability Analysis Of Time-Delayed Dc Motor Speed Control System, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the stability of time-delayed DC motor speed control systems is analyzed. The measurement devices and communication links used by networked control systems, cause a significant amount of time delays. The stability boundary of the system in terms of the time delay is theoretically determined and an expression is obtained to compute the delay margin in terms of system parameters. The delay margin is defined as the maximum amount of time delay for which the DC motor speed control system is marginally stable. The results indicate that the system becomes unstable if the time delay exceeds the delay …
Multiobjective Daily Volt/Var Control In Distribution Systems With Distributed Generation Using Binary Ant Colony Optimization, Reza Azimi, Saeid Esmaeili
Multiobjective Daily Volt/Var Control In Distribution Systems With Distributed Generation Using Binary Ant Colony Optimization, Reza Azimi, Saeid Esmaeili
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a multiobjective daily voltage and reactive power control (Volt/VAr) in radial distribution systems, including distributed generation units. The main purpose is to determine optimum dispatch schedules for on-load tap changer (OLTC) settings at substations, substation-switched capacitors, and feeder-switched capacitors based on the day-ahead load forecast. The objectives are selected to minimize the voltage deviation on the secondary bus of the main transformer, total electrical energy losses, the number of OLTCs, and capacitor operation and voltage fluctuations in distribution systems for the next day. Since this model is the weighted sum of individual objective functions, an analytic hierarchy …
Chaos Control Of Single Time-Scale Brushless Dc Motor With Sliding Mode Control Method, Yilmaz Uyaroğlu, Bariş Cevher
Chaos Control Of Single Time-Scale Brushless Dc Motor With Sliding Mode Control Method, Yilmaz Uyaroğlu, Bariş Cevher
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the sliding mode control (SMC) scheme of single time-scale brushless DC motor (BLDCM) is investigated. The SMC method consists of 2 sections. To simplify the directive of the stability of the controlled single time-scale BLDCM in the sliding mode, first a special type of PI switching surface is adopted. Second, the SMC controller is obtained to guarantee the occurrence of the PI switching surface. The effectiveness of the theoretical analysis is evaluated by numerical simulations. Thus, the numerical results are used to show the verification and trustworthiness of the proposed method.
Control, Design, And Implementation Of A Low-Cost Ultracapacitor Test System, Hasan Hüseyi̇n Eroğlu, Ahmet Masum Hava
Control, Design, And Implementation Of A Low-Cost Ultracapacitor Test System, Hasan Hüseyi̇n Eroğlu, Ahmet Masum Hava
Turkish Journal of Electrical Engineering and Computer Sciences
This paper reviews the ultracapacitor (UC) test procedures, establishes simple and economical power electronic conversion system-based UC test equipment, and experimentally evaluates the performance of a UC module. The power converter hardware structure and control algorithms of the designed system are discussed in detail. The high bandwidth and high accuracy current programming capability of the converter for the purpose of charging and discharging the UC, as required during testing, is illustrated via the experimental results. The UC equivalent circuit parameters are extracted. Successful constant current and constant power charging/discharging operating performances are demonstrated. The results of this study help with …
An Automated Signal Alignment Algorithm Based On Dynamic Time Warping For Capillary Electrophoresis Data, Fethullah Karabi̇ber
An Automated Signal Alignment Algorithm Based On Dynamic Time Warping For Capillary Electrophoresis Data, Fethullah Karabi̇ber
Turkish Journal of Electrical Engineering and Computer Sciences
Correcting the retention time variation and measuring the similarity of time series is one of the most popular challenges in the area of analyzing capillary electrophoresis (CE) data. In this study, an automated signal alignment method is proposed by modifying the dynamic time warping (DTW) approach to align the time-series data. Preprocessing tools and further optimizations were developed to increase the performance of the algorithm. As a demonstrative case study, the developed algorithm is applied to the analysis of CE data from a selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) evaluation of the RNA secondary structure. The time-shift problem …
A New Morse Code Scheme Optimized According To The Statistical Properties Of Turkish, Emrah Çi̇çek, Asim Egemen Yilmaz
A New Morse Code Scheme Optimized According To The Statistical Properties Of Turkish, Emrah Çi̇çek, Asim Egemen Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
Morse code has been in use for more than 180 years, even though its currently known form is slightly different than the form defined by Morse and Vail. The code book constructed by Vail was optimized according to the statistical properties of English. In this study, we propose a new code book optimized for Turkish and demonstrate that it is information-theoretically possible to achieve about a 10% improvement throughout the coding of Turkish texts by means of our proposal. The outcomes of this might serve as a basis for potential (academic and/or applied) Turkish language-specific lossless data compression studies.
An Event-Driven Wsn Mac Protocol Design Based On Active Node And Dynamic Time Slot Allocation, Nükhet Sazak, İsmai̇l Ertürk, Etem Köklükaya, Murat Çakiroğlu
An Event-Driven Wsn Mac Protocol Design Based On Active Node And Dynamic Time Slot Allocation, Nükhet Sazak, İsmai̇l Ertürk, Etem Köklükaya, Murat Çakiroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
The unique features of wireless sensor networks (WSNs) make them suitable for a wide range of applications in many different areas. However, with many of the protocols and algorithms used in traditional wireless networks, it is usually neither feasible nor possible to apply them directly to WSNs due to the strict resource constraints of tiny sensor nodes. Moreover, application-specific approaches for communication protocols are usually imposed since WSN applications have distinct requirements. In this study, event-driven WSN applications, where a number of sensor nodes are randomly and densely deployed in remote and difficult to reach locations, are targeted. In such …
Role Of Energy Management In Hybrid Renewable Energy Systems: Case Study-Based Analysis Considering Varying Seasonal Conditions, Recep Yumurtaci
Role Of Energy Management In Hybrid Renewable Energy Systems: Case Study-Based Analysis Considering Varying Seasonal Conditions, Recep Yumurtaci
Turkish Journal of Electrical Engineering and Computer Sciences
The recent popularity of alternative energy technologies is mainly promoted by the increasing awareness of environmental concerns as well as the economic impacts of the depleting fossil fuel reserves. Among several alternative technologies, wind- and solar-based energy have been given specific importance with government-based support for providing a cost-effective structure to realize better penetration of such environmentally friendly sources in the energy market. Even these sources are advantageous over the conventional means of energy production from many aspects, a main drawback being the total dependence on the meteorological conditions (wind speed, solar radiation, temperature, etc.) of the wind and solar …
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Turkish Journal of Electrical Engineering and Computer Sciences
Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of …
Operational Characteristics Of A Filtering Rectifier Transformer For Industrial Power Systems, Zhiyu Zhao, Longfu Luo, Jiazhu Xu, Thanhngoc Tran, Zhiwen Zhang
Operational Characteristics Of A Filtering Rectifier Transformer For Industrial Power Systems, Zhiyu Zhao, Longfu Luo, Jiazhu Xu, Thanhngoc Tran, Zhiwen Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
Many conventional methods focus on reducing the harmful impact of the poor power quality in industrial rectifier systems, but they focus more on the harmonic problems of the utility grid than they do on that of the rectifier transformer; hence, the rectifier transformer would still be adversely affected by harmonic pollution. In order to solve the problem, a filtering rectifier transformer is proposed that adopts a harmonic current drainage system that incorporates tertiary winding and tuned harmonic filters. The impedance of the tertiary winding is specially designed and the tuned harmonic filters work together to restrain the harmonic current and …
Optimized Features Selection For Gender Classification Using Optimization Algorithms, Sajid Ali Khan, Muhammad Nazir, Naveed Riaz
Optimized Features Selection For Gender Classification Using Optimization Algorithms, Sajid Ali Khan, Muhammad Nazir, Naveed Riaz
Turkish Journal of Electrical Engineering and Computer Sciences
Optimized feature selection is an important task in gender classification. The optimized features not only reduce the dimensions, but also reduce the error rate. In this paper, we have proposed a technique for the extraction of facial features using both appearance-based and geometric-based feature extraction methods. The extracted features are then optimized using particle swarm optimization (PSO) and the bee algorithm. The geometric-based features are optimized by PSO with ensemble classifier optimization by the genetic algorithm. Using this approach, we have obtained promising results in terms of the classification error rate and computation time minimization. Moreover, our optimized feature-based method …
A Computer-Aided Diagnosis System For Breast Cancer Detection By Using A Curvelet Transform, Nebi̇ Gedi̇k, Ayten Atasoy
A Computer-Aided Diagnosis System For Breast Cancer Detection By Using A Curvelet Transform, Nebi̇ Gedi̇k, Ayten Atasoy
Turkish Journal of Electrical Engineering and Computer Sciences
The most common type of cancer among women worldwide is breast cancer. Early detection of breast cancer is very important to reduce the fatality rate. For the hundreds of mammographic images scanned by a radiologist, only a few are cancerous. While detecting abnormalities, some of them may be missed, as the detection of suspicious and abnormal images is a recurrent mission that causes fatigue and eyestrain. In this paper, a computer-aided diagnosis system using the curvelet transform (CT) algorithm is proposed for interpreting mammograms to improve the decision making. The purpose of this study is to develop a method for …
Optimal Sizing And Siting Distributed Generation Resources Using A Multiobjective Algorithm, Seyed Amir Hosseini, Seyed Siavash Karimi Madahi, Farzad Razavi, Mohsen Karami, Ali Asghar Ghadimi
Optimal Sizing And Siting Distributed Generation Resources Using A Multiobjective Algorithm, Seyed Amir Hosseini, Seyed Siavash Karimi Madahi, Farzad Razavi, Mohsen Karami, Ali Asghar Ghadimi
Turkish Journal of Electrical Engineering and Computer Sciences
The restructuring of the electrical market, improvement in the technologies of energy production, and energy crisis have paved the way for increasing applications of distributed generation (DG) resources in recent years. Installing DG units in a distribution network may result in positive impacts, such as voltage profile improvement and loss reduction, and negative impacts, such as an increase in the short-circuit level. These impacts depend on the type, capacity, and place of these resources. Therefore, finding the optimal place and capacity of DG resources is of crucial importance. Accordingly, this paper is aimed at finding the optimal place and capacity …
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Turkish Journal of Electrical Engineering and Computer Sciences
About one million women are diagnosed with breast cancer every year. Breast cancer makes up one-third of all cancer diagnoses in women. Diagnosing breast cancer early is vital for successful treatment. Among the breast cancer screening methods available today, mammography is the most effective, although the low precision rate of breast biopsy caused by mammogram interpretation results in approximately 70% unnecessary biopsies with benign outcomes. The aim of this study was to extract strong diagnostic fuzzy rules for the inference engine of an expert system to be used for the diagnosis of breast cancer. These rules have been extracted through …
Multireference Tdoa-Based Source Localization, Hamid Torbati Fard, Mahmoud Atashbar, Yaser Norouzi, Farrokh Hojjat Kashani
Multireference Tdoa-Based Source Localization, Hamid Torbati Fard, Mahmoud Atashbar, Yaser Norouzi, Farrokh Hojjat Kashani
Turkish Journal of Electrical Engineering and Computer Sciences
Time difference of arrival (TDOA)-based methods usually achieve the most accurate source localization in passive systems. In these methods, one of the sensors is assigned as the reference and the TDOA of the others with respect to the reference is measured. The source location is estimated by processing these TDOAs. In this paper, a multireference maximum likelihood (ML)-Taylor algorithm is proposed in order to decrease the source localization error of the TDOA methods. In the proposed algorithm, TDOAs are measured assuming 2 different reference sensors, and then the ML objective function of this multireference TDOA algorithm is derived and solved …
Control In Networked Systems With Fuzzy Logic, Akhan Akbulut, Oğuzhan Öztaş
Control In Networked Systems With Fuzzy Logic, Akhan Akbulut, Oğuzhan Öztaş
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, the development of control systems based on network-based architecture is getting very high attention. Because of its fast data communication, network-based control is in high demand. However, there are some disadvantages, such as delays, data packet dropouts, and communication constraints. Network-based control systems are getting attention in the development of this architecture because of these disadvantages. Optimization of the system is supplied to improve the existing structure. The optimization is categorized into 2 main structures: software optimization and hardware optimization. The structure of the overall system is designed with these optimization strategies. A hierarchical and communicational structure has emerged …