Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- TÜBİTAK (3106)
- Embry-Riddle Aeronautical University (409)
- Missouri University of Science and Technology (335)
- Old Dominion University (321)
- Air Force Institute of Technology (129)
-
- University of New Haven (74)
- University of Nebraska - Lincoln (63)
- University of Nevada, Las Vegas (62)
- University of Dar es Salaam (55)
- Western University (36)
- University of Arkansas, Fayetteville (35)
- Chapman University (34)
- Portland State University (31)
- Loyola University Chicago (27)
- University of Kentucky (27)
- Purdue University (26)
- Wayne State University (24)
- New Jersey Institute of Technology (23)
- University of Texas at El Paso (23)
- University of Malaya (21)
- University of South Florida (21)
- California Polytechnic State University, San Luis Obispo (18)
- Michigan Technological University (18)
- South Dakota State University (15)
- Technological University Dublin (15)
- Munster Technological University (14)
- University of Denver (14)
- University of South Carolina (14)
- University of New Mexico (13)
- Washington University in St. Louis (13)
- Keyword
-
- Machine learning (152)
- Deep learning (129)
- Classification (87)
- Optimization (85)
- Genetic algorithm (61)
-
- Neural networks (55)
- Particle swarm optimization (53)
- Security (53)
- Digital forensics (49)
- Image processing (48)
- Artificial intelligence (47)
- Feature extraction (47)
- Clustering (43)
- Computer vision (43)
- Machine Learning (43)
- Wireless sensor networks (41)
- Artificial neural networks (40)
- Feature selection (38)
- Support vector machine (38)
- Algorithms (37)
- Artificial neural network (35)
- Deep Learning (35)
- Fuzzy logic (34)
- Convolutional neural network (30)
- Convolutional neural networks (30)
- Cybersecurity (30)
- Reinforcement learning (29)
- Natural language processing (28)
- Neural network (28)
- Power quality (28)
- Publication Year
- Publication
-
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Journal of Digital Forensics, Security and Law (290)
- Electrical and Computer Engineering Faculty Research & Creative Works (282)
- Theses and Dissertations (127)
- Electrical & Computer Engineering Theses & Dissertations (120)
-
- Electrical & Computer Engineering Faculty Publications (110)
- Annual ADFSL Conference on Digital Forensics, Security and Law (100)
- Electrical & Computer Engineering and Computer Science Faculty Publications (71)
- Tanzania Journal of Engineering and Technology (TJET) (50)
- School of Computing: Conference and Workshop Papers (44)
- Electrical and Computer Engineering Publications (36)
- Electronic Theses and Dissertations (34)
- Computer Science: Faculty Publications and Other Works (27)
- Faculty Publications (27)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (26)
- Dissertations (25)
- Engineering Faculty Articles and Research (25)
- Open Access Theses & Dissertations (23)
- USF Tampa Graduate Theses and Dissertations (20)
- Chemical Engineering and Materials Science Faculty Research Publications (19)
- Computer Science Faculty Publications (19)
- Computer Science Faculty Research & Creative Works (19)
- Graduate Theses and Dissertations (19)
- Dissertations and Theses (18)
- Publications (18)
- Doctoral Dissertations (17)
- Engineering Technology Faculty Publications (16)
- Fred and Harriet Cox Senior Design Competition Projects (16)
- VMASC Publications (15)
- Electrical & Computer Engineering Faculty Research (14)
- Publication Type
- File Type
Articles 2521 - 2550 of 5279
Full-Text Articles in Computer Sciences
A 3d Simulation Of The Formation Of Primary Platelet Thrombi Based On A Hybrid Computational Model, Chaoqing Ma, Oubong Gwun
A 3d Simulation Of The Formation Of Primary Platelet Thrombi Based On A Hybrid Computational Model, Chaoqing Ma, Oubong Gwun
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, the study of thrombosis simulation based on computational models has been one of the most popular research areas. In this paper, a 3D simulation method based on a hybrid model is proposed for platelet thrombus formation. The flow of platelets is modeled in a macroscale submodel using Navier--Stokes equations and the physiological processes such as adhesion and aggregation of platelets are modeled in a microscale submodel. In the adhesion and aggregation phases, the attraction of platelets due to blood coagulation factors (von Willebrand factor) is modeled using the external force, and the conversion from unstable aggregation to stable aggregation …
Performance Evaluation Of Simple Csrz-Qdpsk Transmitter Configurations For 20-Gbps Pon Applications, Rimmya Chitravelu, Ganesh Madhan Muthu
Performance Evaluation Of Simple Csrz-Qdpsk Transmitter Configurations For 20-Gbps Pon Applications, Rimmya Chitravelu, Ganesh Madhan Muthu
Turkish Journal of Electrical Engineering and Computer Sciences
The performance of 1 and 2 Mach--Zehnder modulator (MZM)-based simple carrier suppressed return to zero differential quadrature phase shift keying (CSRZ-QDPSK) transmitters is analyzed in a 20 Gb/s single-mode fiber optic link. The link's performance under the transmitter schemes is evaluated by analyzing the received constellation, eye diagram, quality factor, and eye opening penalty (EOP) in a passive optical networks (PON) scenario. It is observed that the simple transmitter provides performance closer to the case of the standard 3 MZM CSRZ-QDPSK-based transmitter reported in the literature and implemented in experiments.
Assessing The Importance Of Features For Detection Of Hard Exudates In Retinal Images, Kemal Akyol, Baha Şen, Şafak Bayir, Hasan Basri̇ Çakmak
Assessing The Importance Of Features For Detection Of Hard Exudates In Retinal Images, Kemal Akyol, Baha Şen, Şafak Bayir, Hasan Basri̇ Çakmak
Turkish Journal of Electrical Engineering and Computer Sciences
Diabetes disrupts the operation of the eye and leads to vision loss, affecting particularly the nerve layer and capillary vessels in this layer by changes in the blood vessels of the retina.~Suddenly loss and blurred vision problems occur in the image, depending on the phase of the disease, called diabetic retinopathy. Hard exudates are one of the primary signs of diabetic retinopathy. Automatic recognition of hard exudates in retinal images can contribute to detection of the disease. We present an automatic screening system for the detection of hard exudates. This system consists of two main steps. Firstly, the features were …
A Clustering Approach Using A Combination Of Gravitational Search Algorithm And K-Harmonic Means And Its Application In Text Document Clustering, Mina Mirhosseini
A Clustering Approach Using A Combination Of Gravitational Search Algorithm And K-Harmonic Means And Its Application In Text Document Clustering, Mina Mirhosseini
Turkish Journal of Electrical Engineering and Computer Sciences
Data clustering is one of the most popular techniques of information management, which is used in many applications of science and engineering such as machine learning, pattern reorganization, image processing, data mining, and web mining. Different algorithms have been suggested by researchers, where the evolutionary algorithms are the best in data clustering and especially in big datasets. It is illustrated that GSA-KM, which is a combination of the gravitational search algorithm (GSA) and K-means (KM), is superior over some other comparative evolutionary methods. One of the drawbacks of this approach is dependency on the initial seeds. In this paper, a …
Comparison Of Using The Genetic Algorithm And Cuckoo Search For Multicriteria Optimisation With Limitation, Ryszard Klempka, Boguslaw Filipowicz
Comparison Of Using The Genetic Algorithm And Cuckoo Search For Multicriteria Optimisation With Limitation, Ryszard Klempka, Boguslaw Filipowicz
Turkish Journal of Electrical Engineering and Computer Sciences
The article presents an example of using two optimisation methods, a genetic algorithm and cuckoo search, to identify parameters of electric drive controllers using some quality criteria and by applying a limitation to the maximum values of signals in the controlled facility. The results for both optimisation methods are compared. The impact of the probability that the nest host discovers the laid eggs on the speed of finding the optimum solution is investigated.
Lambda Optimization Of Constraint Violating Units In Short-Term Thermal Unit Commitment Using Modified Dynamic Programming, Logavani Kandasamy, Senthil Kumar Selvaraj
Lambda Optimization Of Constraint Violating Units In Short-Term Thermal Unit Commitment Using Modified Dynamic Programming, Logavani Kandasamy, Senthil Kumar Selvaraj
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new approach with a three-stage optimization algorithm for the least-cost optimal solution of the unit commitment problem. In the proposed work, the optimal schedule is obtained by optimizing the lambda operator for the states that violate the inequality constraints. The objective of the work is to minimize the fuel cost when subjected to various constraints such as load balance, minimum up/down time, ramp limit, and spinning reserve. This method of committing the units yields the least-cost solution when applied to the IEEE 10-unit systems and 7-unit Indian utility practical systems scheduled for 24 h and the …
Dvcc-Based Floating Capacitance Multiplier Design, Hali̇l Alpaslan
Dvcc-Based Floating Capacitance Multiplier Design, Hali̇l Alpaslan
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a floating capacitance multiplier including two multioutput differential voltage current conveyors, two grounded resistors, and a grounded capacitor is proposed. The proposed floating capacitance multiplier can realize high capacitor values with two small-valued resistors. It is more suitable for integrated circuit technology because it has only grounded passive components without needing any critical passive component matching conditions. Its performances are examined with several simulations using the SPICE program. As an application example, a third-order notch filter using three resistors and three capacitors is given.
A Compact Wideband Printed Antenna For Free-Space Radiometricdetection Of Partial Discharge, Yong Zhang, Pavlos Lazaridis, Raed Abd-Alhameed, Ian Glover
A Compact Wideband Printed Antenna For Free-Space Radiometricdetection Of Partial Discharge, Yong Zhang, Pavlos Lazaridis, Raed Abd-Alhameed, Ian Glover
Turkish Journal of Electrical Engineering and Computer Sciences
A microstrip line-fed wideband printed antenna is presented for radio detection of partial discharge (PD). The novel simple structure antenna has compact size of 24 $\times $ 20 $\times $ 0.16 cm$^{3}$ (0.28$\lambda_{s} \times $ 0.23 $\lambda_{s} \times $ 0.002 $\lambda_{s})$ and is suitable for radiometric PD wireless sensor nodes, where $\lambda_{s}$ is the wavelength of the lowest frequency of the band (i.e. 0.35 GHz). A stepped and beveled radiation patch is used in combination with a slotted ground plane to achieve a wide fractional bandwidth of 119% (0.35 to 1.38 GHz) for a return loss better than 10 dB. …
Dual Broadband Antenna With Compact Double Ring Radiators For Ieee 802.11 Ac/B/G/N Wlan Communication Applications, Meri̇h Palandöken
Dual Broadband Antenna With Compact Double Ring Radiators For Ieee 802.11 Ac/B/G/N Wlan Communication Applications, Meri̇h Palandöken
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a dual broadband antenna is proposed for WLAN communication modules supported by the IEEE 802.11 ac/b/g/n standard. The antenna design is based on two interspaced electrically small split-ring resonators, each of which is directly fed through the stepped impedance microstrip line with an optimized electromagnetic coupling distance in between. The proposed dual band antenna operates in the lower frequency band from 2.3 GHz up to 3 GHz with 2.65 GHz center frequency (26.4 % bandwidth) and in the higher frequency band from 4.7 GHz up to 6 GHz with 5.35 GHz center frequency (24.3% bandwidth). The radiating …
Vector Control Of Unbalanced 3-Phase Im Using Forward And Backward Components, Mohammad Jannati, Nik Rumzi Nik Idris
Vector Control Of Unbalanced 3-Phase Im Using Forward And Backward Components, Mohammad Jannati, Nik Rumzi Nik Idris
Turkish Journal of Electrical Engineering and Computer Sciences
In some industries, continuous operation of 3-phase induction motors (IMs) even under faults until the scheduled maintenance time is essential. Conventional control techniques such as field-oriented control (FOC) cannot be used to control faulty IMs since this will result in significant oscillations in the speed and torque. Consequently, a new control approach must be developed for improving IM performance during fault conditions. This paper presents a method for vector control of 3-phase IMs under open-phase faults. The main advantage of this control scheme is its ability to handle not only one phase but also two phases of open-phase fault conditions. …
Energy-Hole Avoidance And Lifetime Enhancement Of A Wsn Through Load Factor, Krishna Pal Sharma, Teek Parval Sharma
Energy-Hole Avoidance And Lifetime Enhancement Of A Wsn Through Load Factor, Krishna Pal Sharma, Teek Parval Sharma
Turkish Journal of Electrical Engineering and Computer Sciences
In wireless sensor networks, nonuniform communication load across a network often leads to the problem of energy holes or hot spots, i.e. nodes nearer high activity regions deplete their energy much faster than nodes elsewhere. This may partition the network into unreachable segments and thus adversely affect network lifetime. The problem is more acute in random and sparsely deployed networks. Therefore, we propose a deployment strategy that, using the least possible nodes, prolongs network lifetime by avoiding energy holes and also ensures full sensing and communication coverage. The scheme handles the energy imbalance by selecting an appropriate set of communication …
Tunable Microstrip Dual-Band Bandpass Filter For Wlan Applications, Abbas Rezaei, Leila Noori
Tunable Microstrip Dual-Band Bandpass Filter For Wlan Applications, Abbas Rezaei, Leila Noori
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, based on a new stub-loaded open loop resonator, a compact microstrip dual-band bandpass filter is presented. The proposed filter is designed using two stub-loaded open loop resonators to create two pass bands at 2.39 GHz and 5.7 GHz for multimode wireless LANs applications. Two high impedance sections are used in the main loops and the internal stubs are two low impedance microstrip cells. A method is presented to control the mode resonance frequencies. By increasing the internal stubs' dimensions, the resonance frequencies are adjusted without size increment. The proposed filter has a good performance. The insertion losses …
Effect Of Micro/Nano-Sio$_{2}$ On Mechanical, Thermal, And Electrical Properties Of Silicone Rubber, Epoxy, And Epdm Composites For Outdoor Electrical Insulations, Hidayatullah Khan, Muhammad Amin, Muhammad Ali, Muhammad Iqbal, Muhammad Yasin
Effect Of Micro/Nano-Sio$_{2}$ On Mechanical, Thermal, And Electrical Properties Of Silicone Rubber, Epoxy, And Epdm Composites For Outdoor Electrical Insulations, Hidayatullah Khan, Muhammad Amin, Muhammad Ali, Muhammad Iqbal, Muhammad Yasin
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper the influence of micro-sized (3 $\mu $m) and nano-sized (10 nm) silica (SiO$_{2})$ on mechanical, thermal, and electrical properties of silicon rubber (SiR), epoxy, and ethylene propylene diene monomer (EPDM) composites is presented. The micro- and nano-sized SiO$_{2}$ particle-filled SiR, epoxy, and EPDM composites were formulated with 20% microsilica and 5% nanosilica by weight respectively. Among these composites, SiR-SiO$_{2}$ amalgamation was performed by mixing using an ultrasonication procedure. Epoxy-SiO$_{2}$ was compounded in two steps, i.e. dispersion of fillers and mixing, whereas EPDM-SiO$_{2}$ compounding was performed with a two roll mill technique. With the addition of micro/nano-SiO$_{2}$, the …
Design And Operation Of A Multifunction Photovoltaic Power System With Shunt Active Filtering Using A Single-Stage Three-Phase Multilevel Inverter, Serkan Sezen, Ahmet Aktaş, Mehmet Uçar, Engi̇n Özdemi̇r
Design And Operation Of A Multifunction Photovoltaic Power System With Shunt Active Filtering Using A Single-Stage Three-Phase Multilevel Inverter, Serkan Sezen, Ahmet Aktaş, Mehmet Uçar, Engi̇n Özdemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the control of a multifunction grid-connected photovoltaic (PV) system with a three-phase three-level (3L) neutral point clamped (NPC) inverter is proposed, which can perform shunt active filtering. Normally, the shunt active filtering is achieved by detecting the harmonic and reactive currents of the nonlinear load and then injecting the compensating current into the grid. Therefore, the proposed system can inject PV power to a grid with power factor correction and current harmonic filtering features simultaneously. In addition, a single-stage compact and efficient transformerless power conversion topology is used in this paper for the grid-connected solar PV system …
A Cell-Based 5-Mhz On-Chip Clock Generator, Ching-Che Chung, Jhih-Wei Li
A Cell-Based 5-Mhz On-Chip Clock Generator, Ching-Che Chung, Jhih-Wei Li
Turkish Journal of Electrical Engineering and Computer Sciences
A cell-based 5-MHz on-chip clock generator for smart sensing applications is presented. By exploiting relative reference modeling, our proposed design can dynamically track both voltage and temperature variations after four-point chip calibrations. The proposed on-chip clock generator is fabricated using a 90-nm CMOS process, the frequency stability is 160 ppm/$^{\circ}$C and 72 ppm/mV over 0 $^{\circ}$C to 75 $^{\circ}$C and 0.9 V to 1.1 V, and the settling time of the proposed on-chip clock generator is 5.12 $\mu$s. The proposed on-chip clock generator was implemented with standard cells that can greatly reduce the design complexity and design time for on-chip …
Truncation Thresholds: A Pair Of Spike Detection Thresholds Computed Using Truncated Probability Distributions, Murat Okatan, Mehmet Kocatürk
Truncation Thresholds: A Pair Of Spike Detection Thresholds Computed Using Truncated Probability Distributions, Murat Okatan, Mehmet Kocatürk
Turkish Journal of Electrical Engineering and Computer Sciences
We describe a method for computing a pair of spike detection thresholds, called `truncation thresholds', using truncated probability distributions, for extracellular recordings. In existing methods the threshold is usually set to a multiple of an estimate of the standard deviation of the noise in the recording, with the multiplication factor being chosen between 3 and 5 according to the researcher's preferences. Our method has the following advantages over these methods. First, because the standard deviation is usually estimated from the entire recording, which includes the spikes, it increases with firing rate. By contrast, truncation thresholds decrease in absolute value with …
Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani
Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper we present a method to predict sudden cardiac death (SCD) based on the heart rate variability (HRV) signal and recurrence plots and Poincaré plot-extracted features. This work is a challenge since it is aimed to devise a method to predict SCD 5 min before its onset. The method consists of four steps: preprocessing, feature extraction, feature reduction, and classification. In the first step, the QRS complexes are detected from the electrocardiogram signal and then the HRV signal is extracted. In the second step, the recurrence plot of the HRV signal and Poincaré plot-extracted features are obtained. Four …
An Extremely Wideband Radome-Enclosed Cylindrical Dipole Antenna For Wireless Communication, Tariq Rahim, Jiadong Xu
An Extremely Wideband Radome-Enclosed Cylindrical Dipole Antenna For Wireless Communication, Tariq Rahim, Jiadong Xu
Turkish Journal of Electrical Engineering and Computer Sciences
A radome-enclosed extremely wideband cylindrical dipole antenna for wireless communications applications was proposed with a simple structure. The antenna is fed at the center with the help of a coaxial cable through the lower hollow metallic pole. The feed area is composed of cones at both sides in order to obtain wideband impedance matching. The proposed antenna can cover 1.8 GHz to 28 GHz with S11 of less than -10 dB and excellent stable omnidirectional radiation characteristics. However, at high frequencies, some ripples are introduced in the radiation pattern. The frequency band of the cylindrical dipole antenna can be controllable …
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the design and testing of a newly developed field programmable gate array (FPGA) board for mobile robot research. The idea consists of interfacing the FPGA to a 16-bit digital signal controller (dsPIC). This idea enables the FPGA designs to communicate with the dsPIC through the integration of per-written driver modules to be used in a wide variety of digital and analog peripheral modules. It also allows the use of a high-performance digital signal processing core in many signal processing-based mobile robot applications. The proposed FPGA board allows users to develop, test, and deploy quick and cost-effective complete …
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
Turkish Journal of Electrical Engineering and Computer Sciences
The design problem of a static output feedback controller and multivariable proportional-integral-derivative (PID) controller is investigated for linear time-invariant systems (LTI). First, the static output feedback stabilization problem is taken into consideration and then an iterative linear matrix inequality (ILMI) algorithm is developed for the synthesis of the controller. Second, choosing a multivariable PID control law, the whole system is transformed into a new augmented system represented in the form of a static output feedback control system. This method allows us to convert the multivariable PID controller design problem into a static output feedback synthesis problem. Thus, the proposed ILMI …
A New Approach For Optimal Reactive Power Flow Of Mtdc Systems Using The Abc Algorithm, Ulaş Kiliç, Kürşat Ayan
A New Approach For Optimal Reactive Power Flow Of Mtdc Systems Using The Abc Algorithm, Ulaş Kiliç, Kürşat Ayan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new approach to optimize reactive power flow of multiterminal high voltage direct current (HVDC) systems. Successful application of two-terminal DC systems worldwide makes the use of multiterminal direct current (MTDC) systems more attractive. Due to the economic and technical advantages of HVDC technology, MTDC systems have been used extensively in recent years. In this study, the artificial bee colony (ABC) algorithm is used for solution of the optimal reactive power flow problem of MTDC systems. In opposition to the current-balancing method used in the literature, this study represents a new approach for DC system power flow …
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
This paper compared performances of classification methods for a hyperspectral image dataset in view of dimensionality reduction (DR). Among conventional DR methods, principal component analysis, maximum noise fraction, and independent component analysis were used for the purpose of dimension reduction. The study was conducted using these DR techniques on a real hyperspectral image, an AVIRIS dataset with 224 bands, throughout the experiments. It was observed that DR may have a significant effect on the classification performance. After the DR methods were applied to the image dataset, the extracted reduced bands were used for testing classification performances. Four commonly used classification …
Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak
Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak
Turkish Journal of Electrical Engineering and Computer Sciences
Household consumption has a significant importance for natural gas wholesale companies. These companies make one-day-ahead forecasting daily. However, there are penalties depending on the error of the estimates. These penalties increase exponentially depending on the error rate. Several studies have been done to develop mathematical models to forecast natural gas consumption and minimize the error rate. However, before mathematical model predictions, a previous step, data preparation, is also important. The data must be prepared correctly before the mathematical model. At this point, prior to the mathematical model, selecting the appropriate data set size has a vital role. In this study, …
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
With the deregulation of the power sector, distribution system planning is transforming from the traditional integrated decision mode to the multiple-player-based decentralized paradigm. However, this could potentially cause an adverse impact on the performance of the system due to interest conflict of market players during operations. To address such an issue, this paper develops a game-theoretic framework for active distribution network planning under the electricity market. The interplay between the distribution utility (DISCO) and distributed generation investors (DGO) is formulated as a noncooperative, two-person-based Stackelberg game in which the DISCO, as the leader of the game, makes expansion of the …
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H$_{\infty }$, H and …
An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar
An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar
Turkish Journal of Electrical Engineering and Computer Sciences
Feature selection (FS), also known as attribute selection, is a process of selection of a subset of relevant features used in model construction. This process or method improves the classification accuracy by removing irrelevant and noisy features. FS is implemented using either batch learning or online learning. Currently, the FS methods are executed in batch learning. Nevertheless, these techniques take longer execution time and require larger storage space to process the entire dataset. Due to the lack of scalability, the batch learning process cannot be used for large data. In the present study, a scalable efficient Online Feature Selection (OFS) …
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Turkish Journal of Electrical Engineering and Computer Sciences
A number of recent studies have used a decision tree approach as a data mining technique; some of them needed to evaluate the similarity of decision trees to compare the knowledge reflected in different trees or datasets. There have been multiple perspectives and multiple calculation techniques to measure the similarity of two decision trees, such as using a simple formula or an entropy measure. The main objective of this study is to compute the similarity of decision trees using data mining techniques. This study proposes DTreeSim, a new approach that applies multiple data mining techniques (classification, sequential pattern mining, and …
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Turkish Journal of Electrical Engineering and Computer Sciences
The robust stabilization of the cart pendulum system was studied under structured uncertainty with a continuous-time periodic controller. The cart pendulum system was considered here as the test set-up as it is a well-known example of an unstable nonminimum phase system. The uncertainty in the system rose due to measurement error or dry friction in it. In this paper, the robust stability of the periodic controller in the presence of uncertainty was examined. The gain margin and delay margin endow with the periodic controller were superior to those obtained in the case of linear time invariant (LTI) control even in …
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, a 3-bit feedforward 3rd order sigma delta analog-to-digital converter (ADC) is presented. In this proposed architecture, feedforward paths and multibit design help the integrator output swings to become smaller, which renders the exploitation of a telescopic cascode opamp in the integrators possible. Moreover, a double sampling method is used to relax the opamp specifications. The proposed sigma delta ADC consumes 28.2 $\mu $W and has 81.3 dB SNDR according to postlayout simulations.
Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari
Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari
Turkish Journal of Electrical Engineering and Computer Sciences
The imperialist competitive algorithm (ICA) is a recent global search strategy developed based on human social evolutionary phenomena in the real world. However, the ICA has the drawback of trapping in local optimum solutions when used for high-dimensional or complex multimodal functions. In order to deal with this situation, in this paper an improved ICA, named GICA, is proposed that can enhance ICA performance by using a new assimilation method and establishing a relationship between countries inspired by the globalization concept in the real world. The proposed algorithm is evaluated using a set of well-known benchmark functions for global optimization. …