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Articles 1 - 30 of 268
Full-Text Articles in Engineering
Determination Of Harmonic Current Contributions Based On Robust State Estimation, Erhan Sezgi̇n, Murat Göl, Özgül Salor
Determination Of Harmonic Current Contributions Based On Robust State Estimation, Erhan Sezgi̇n, Murat Göl, Özgül Salor
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a state estimation based method is proposed to determine harmonic current contributions of plants supplied from a point of common coupling (PCC). This work mainly aims to reduce gross error of capacitive voltage transformer (CVT) measurements at harmonic frequencies using robust weighted least absolute value (WLAV) state estimation method, which provides the optimum state estimates for harmonic voltages in the presence of a redundant enough measurement set. Estimated harmonic voltages are then used to solve the harmonic current contribution problem based on superposition theorem. It has been shown that the proposed method can provide optimum harmonic estimates …
Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes
Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new realization for a CMOS four-quadrant analogue multiplier. The proposed circuit is composed of three second generation current conveyor circuits (CCII), two NMOS transistors operating in the linear region, and four passive resistances. It can be operated in current mode and voltage mode without changing the circuit topology. The simulations results of the proposed mixed mode multiplier are verified by TSPICE simulator based on the BSIM3v3 transistor model for TSMC 0.18 $\mu $m CMOS process available from MOSIS at 25 $^{\circ}$C with $\pm $0.8 V supply voltage. Through the use of resistive compensation with different passive …
Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene
Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, an analysis of the interaction between the switching ripple filter components of a matrix converter-based drive and the components of a 0.4-kV electrical grid is presented. Based on the analysis, we propose a simplification of the conventional LCR filter. An inductance of the power grid transformer windings and an impedance of the power distribution lines could be considered as a filter component. Stemming from the above, a simplification of the filter topology is proposed. Only the capacitance component is necessary for realizing a conventional LCR filter. The effectiveness of this simplification is demonstrated through calculations, simulations performed …
Mutatedsocioagentsim (Msas): Semisupervised Modelling Of Multiagent Simulation To Predict And Detect The Mutation In A Camouflaged Social Network, Karthika Subbaraj, Bose Sundan
Mutatedsocioagentsim (Msas): Semisupervised Modelling Of Multiagent Simulation To Predict And Detect The Mutation In A Camouflaged Social Network, Karthika Subbaraj, Bose Sundan
Turkish Journal of Electrical Engineering and Computer Sciences
A social network is a networked structure formed by a set of agents/actors. It describes their interrelationships that facilitate the exchange and flow of resources and information. A camouflaged social network is one such community that influences the underlying structure and the profile of the agents, to cause mutation. The proposed MSAM is a novel system that simulates a multiagent network whose community structure is analyzed to identify the critical agents by studying the mutations caused due to attachment and detachment of agents. The isolation of the tagged agents will demonstrate disruption of information flow, which leads to the dismantling …
Effect Of Intuitionistic Fuzzy Normalization In Microarray Gene Selection, Prema Ramasamy, Premalatha Kandhasamy
Effect Of Intuitionistic Fuzzy Normalization In Microarray Gene Selection, Prema Ramasamy, Premalatha Kandhasamy
Turkish Journal of Electrical Engineering and Computer Sciences
Analysis of gene expression data is essential in microarray gene expression in order to retrieve the required information. Gene expression data generally contain a large number of genes but a small number of samples. The complicated relations among the different genes make analysis more difficult, and removing irrelevant genes improves the quality of results. This paper presents two fuzzy preprocessing techniques, using a fuzzy set (FS) and intuitionistic fuzzy set (IFS), to normalize datasets. In the feature selection part, four statistical methods were used. Using three publicly available gene expression datasets, the fuzzy normalization techniques were compared with two standard …
A Comparative Study On Different Types Of Metamaterials For Enhancement Of Microstrip Patch Antenna Directivity At The Ku-Band (12 Ghz), Bi̇lal Tütüncü, Hami̇d Torpi̇, Bülent Urul
A Comparative Study On Different Types Of Metamaterials For Enhancement Of Microstrip Patch Antenna Directivity At The Ku-Band (12 Ghz), Bi̇lal Tütüncü, Hami̇d Torpi̇, Bülent Urul
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes improving the directivity of microstrip patch antennas (MPAs) by using metamaterials. Four different metamaterial types are used as a flat lens in front of the MPA, respectively, which are tuned to 12 GHz (Ku-band) resonance frequency. Thus, it can be decided which metamaterial is more proper for antenna directivity enhancement at this band. One additional new metamaterial structure is proposed in this paper, which is called a Euro-shaped resonator, and other metamaterials used are the triangular split ring resonator, symmetrical ring structure, and split ring resonator. The permeability and permittivity of metamaterials are extracted from the S …
Composite Vector Quantization For Optimizing Antenna Locations, Zekeri̇ya Uykan, Riku Jantti
Composite Vector Quantization For Optimizing Antenna Locations, Zekeri̇ya Uykan, Riku Jantti
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we study the location optimization problem of remote antenna units (RAUs) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (CVQ) algorithm that consists of unsupervised and supervised terms for RAU location optimization. We show that the CVQ can be used i) to minimize an \textit{upper bound} to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged \textit{effective} \textit{SNR}. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (SDC) as a special case. Computer simulations confirm the findings and suggest that the proposed …
Dynamic Simulation Of The Cad Model In Simmechanics With Multiple Uses, Jiri Zátopek, Zdenek Ú?Ední?Ek, José Machado, João Sousa
Dynamic Simulation Of The Cad Model In Simmechanics With Multiple Uses, Jiri Zátopek, Zdenek Ú?Ední?Ek, José Machado, João Sousa
Turkish Journal of Electrical Engineering and Computer Sciences
When designing a mechatronic system, several steps are taken into account. One of the main steps is the design of a CAD model representing the physical part of the system, and another major point is the development of the mathematical model necessary for the respective controller design. This paper combines both design steps and shows the advantages of using this approach. First, a CAD model is created considering the kinematic and dynamic behavior of the system as well as respective material properties. This CAD model is, in parallel, used for both purposes: as the main basis for developing a mathematical …
Laser Printer As A Source Of Sensitive Emissions, Ireneusz Kubiak
Laser Printer As A Source Of Sensitive Emissions, Ireneusz Kubiak
Turkish Journal of Electrical Engineering and Computer Sciences
Each electronic (electric) device generates electromagnetic emissions during its operation. Most often these emissions are generated unintentionally and they are radiated into the surrounding space in an uncontrolled way. In the case of significant levels of these emissions, they can disturb the operation of other devices or can be used as typical radio emissions. If the nature of their changes corresponds to the processed information occurring in a form of electric signals, the mentioned emissions can be a basis for effective realization of electromagnetic infiltration processes. Most often, these emissions are classified in laboratory conditions using anechoic chambers. Inside such …
Conception And Control Of A Wtgs System Using A Novel Control Technique Based On Mpc-Dpc-Mvf With A Switch Optimization Process, Mansour Madaci, Djallel Kerdoun
Conception And Control Of A Wtgs System Using A Novel Control Technique Based On Mpc-Dpc-Mvf With A Switch Optimization Process, Mansour Madaci, Djallel Kerdoun
Turkish Journal of Electrical Engineering and Computer Sciences
The work proposed through this paper presents a novel technique applied for the control of a wind turbine generation system (WTGS) prototype. A model predictive control combined with a direct power control technique (MPC-DPC) based on SVM control and a novel switching cycle sequence pattern for thermal switch losses reduction have been adopted. The novel developed direct power control (DPC) scheme based on a multivariable filter (MVF) topology for power estimation process has been illustrated. The control of the converter system is adopted through a predictive control strategy to achieve a complete and an instantaneous control over the active and …
A Generalized Detection System To Detect Distributed Denial Of Service Attacks And Flash Events For Information Theory Metrics, Sunny Behal, Krishan Kumar, Monika Sachdeva
A Generalized Detection System To Detect Distributed Denial Of Service Attacks And Flash Events For Information Theory Metrics, Sunny Behal, Krishan Kumar, Monika Sachdeva
Turkish Journal of Electrical Engineering and Computer Sciences
Distributed denial of service (DDoS) attacks pose a severe threat to extensively used web-based services and applications. Many detection approaches have been proposed in the literature, but ensuring the security and availability of data, resources, and services to end users remains an ongoing research challenge. Nowadays, the traffic volume of legitimate users has also increased manifold. A flash event (FE) is a high-rate legitimate traffic situation wherein millions of legitimate users start accessing a particular network resource, such as a web server, simultaneously. The detection of DDoS attacks becomes more challenging when DDoS attacks are launched during behaviorally similar FEs. …
Novel Modified Impedance-Based Methods For Fault Location In The Presence Of A Fault Current Limiter, Javad Barati, Aref Doroudi
Novel Modified Impedance-Based Methods For Fault Location In The Presence Of A Fault Current Limiter, Javad Barati, Aref Doroudi
Turkish Journal of Electrical Engineering and Computer Sciences
A fault current limiter (FCL) is promising novel electric equipment to effectively reduce excessive short circuit current in power networks. The presence of a FCL at the time of a fault occurrence makes it necessary to consider new settings for protective relays and fault locators. This paper examines the presence of a FCL in power networks and its effects on single-ended impedance-based fault location methods. It will be shown that FCL deployment in a transmission line makes the traditional fault location method inefficient. Two modified methods are presented to solve the problem. The modified methods locate the fault point using …
Study On Variability Smoothing Benefits Of Wind Farm Cluster, Xuemei Dai, Kaifeng Zhang, Jian Geng, Qianqian Liu, Ying Wang, Yuan Kun, Yahui Qiao, Yonghui Liu
Study On Variability Smoothing Benefits Of Wind Farm Cluster, Xuemei Dai, Kaifeng Zhang, Jian Geng, Qianqian Liu, Ying Wang, Yuan Kun, Yahui Qiao, Yonghui Liu
Turkish Journal of Electrical Engineering and Computer Sciences
Smoothing effect is an important characteristic of large scale wind power. In this paper we analyze the smoothing effect from the prospect of output variability. Specifically, the aggregated output variability of a wind farm cluster may be significantly lower than that of an independent wind farm, and this phenomenon is referred to as the variability smoothing effect. In order to quantitatively analyze the variability smoothing effect, this paper introduces the concept of variability costs and evaluates the variability costs of each wind farm and overall wind farm cluster based on an optimal scheduling model. It is found that the variability …
Automated Citation Sentiment Analysis Using High Order N-Grams: A Preliminary Investigation, Muhammad Touseef Ikram, Muhammad Tanvir Afzal, Naveed Anwer Butt
Automated Citation Sentiment Analysis Using High Order N-Grams: A Preliminary Investigation, Muhammad Touseef Ikram, Muhammad Tanvir Afzal, Naveed Anwer Butt
Turkish Journal of Electrical Engineering and Computer Sciences
Scientific papers hold an association with previous research contributions (i.e. books, journals or conference papers, and web resources) in the form of citations. Citations are deemed as a link or relatedness of the previous work to the cited work. The nature of the cited material could be supportive (positive), contrastive (negative), or objective (neutral). Extraction of the author's sentiment towards the cited scientific articles is an emerging research discipline due to various linguistic differences between the citation sentences and other domains of sentiment analysis. In this paper, we propose a technique for the identification of the sentiment of the citing …
Real-Time Implementation Of Three-Level Inverter-Based D-Statcom Using Neuro-Fuzzy Controller, Resul Çöteli̇, Hakan Açikgöz, Beşi̇r Dandil, Servet Tuncer
Real-Time Implementation Of Three-Level Inverter-Based D-Statcom Using Neuro-Fuzzy Controller, Resul Çöteli̇, Hakan Açikgöz, Beşi̇r Dandil, Servet Tuncer
Turkish Journal of Electrical Engineering and Computer Sciences
A distribution static compensator (D-STATCOM) is a custom power device connected in parallel to a power system to address electric power quality problems caused by reactive power and harmonics. To obtain high performance from a D-STATCOM, the D-STATCOM's \textit{dq}-axis currents must be controlled in an internal control loop. However, control of the D-STATCOM's currents is difficult because of its nonlinear structure, cross-coupling effect between the \textit{d}- and \textit{q}-axis, undefined dynamics, and fast changing load. Therefore, the controller to be preferred for a D-STATCOM should have a nonlinear and robust structure. In this study, a neuro-fuzzy controller (NFC), which is a …
Real-Time Power System Dynamic Security Assessment Based On Advanced Feature Selection For Decision Tree Classifiers, Qusay Al-Gubri, Mohd Aifaa Mohd Ariff
Real-Time Power System Dynamic Security Assessment Based On Advanced Feature Selection For Decision Tree Classifiers, Qusay Al-Gubri, Mohd Aifaa Mohd Ariff
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a novel algorithm based on an advanced feature selection technique for the decision tree (DT) classifier to assess the dynamic security in a power system. The proposed methodology utilizes symmetrical uncertainty (SU) to reduce the data redundancy in a dataset for DT classifier-based dynamic security assessment (DSA) tools. The results show that SU reduces the dimension of the dataset used for DSA significantly. Subsequently, the approach improves the performance of the DT classifier. The effectiveness of the proposed technique is demonstrated on the modified IEEE 30-bus test system model. The results show that the DT classifier with …
A Comparative Analysis Of 1-Level Multiplier-Free Discrete Wavelet Transform Implementations On Fpgas, Husam Alzaq, Burak Berk Üstündağ
A Comparative Analysis Of 1-Level Multiplier-Free Discrete Wavelet Transform Implementations On Fpgas, Husam Alzaq, Burak Berk Üstündağ
Turkish Journal of Electrical Engineering and Computer Sciences
In this article, we investigated the design and implementation aspects of multilevel discrete wavelet transform (DWT) by employing a finite impulse response filter on field programmable gate array platform. We presented two key multiplication-free architectures, namely, the distributed arithmetic algorithm (DAA) and residue number system (RNS). Our goal is to estimate the performance requirements and hardware resources for each approach, allowing for selection of the proper algorithm and implementation of multilevel DAA- and RNS-based DWT. The design has been implemented and synthesized in Xilinx Virtex 6 ML605, taking advantage of Virtex 6?s embedded block RAMs. The results reveal that the …
Adaptive Bit-Plane Selection-Based Low Complexity Motion Estimation For Screen Content Coding, Ramazan Duvar, Oğuzhan Urhan
Adaptive Bit-Plane Selection-Based Low Complexity Motion Estimation For Screen Content Coding, Ramazan Duvar, Oğuzhan Urhan
Turkish Journal of Electrical Engineering and Computer Sciences
Screen content video coding has become an emerging research topic with the spread of applications such as cloud gaming, screen/desktop virtualization, and mobile or external display interfacing. Screen content videos have different features compared to conventional camcorder-captured scenes. In this work, a novel low bit-depth representation-based motion estimation approach is proposed to exploit screen content specific features to improve coding efficiency. The proposed approach is based on an adaptive selection of Gray-coded bit-planes in order to generate low bit-depth representation of original screen content frames. The experimental results show that the motion estimation performance of the proposed approach is significantly …
A Noninvasive Time-Frequency-Based Approach To Estimate Cuffless Arterial Blood Pressure, Ömer Faruk Ertuğrul, Necmetti̇n Sezgi̇n
A Noninvasive Time-Frequency-Based Approach To Estimate Cuffless Arterial Blood Pressure, Ömer Faruk Ertuğrul, Necmetti̇n Sezgi̇n
Turkish Journal of Electrical Engineering and Computer Sciences
Arterial blood pressure (ABP) is one of the most vital signs in the prophylaxis and treatment of blood pressure-related diseases because raised blood pressure is the most significant cause of death and the second major cause of disability in the world. Higher ABP yields greater strain on arteries and these extra strains turn arteries into thicker, less flexible, and more narrow structures. This increases the possibility of having an artery busting or artery occlusion, which are the primary reasons for heart attacks, kidney disease, or strokes. In addition to its importance in monitoring cardiovascular homeostasis, measurement of ABP is imperative …
Deep Learning Based Brain Tumor Classification And Detection System, Ali̇ Ari, Davut Hanbay
Deep Learning Based Brain Tumor Classification And Detection System, Ali̇ Ari, Davut Hanbay
Turkish Journal of Electrical Engineering and Computer Sciences
The brain cancer treatment process depends on the physician's experience and knowledge. For this reason, using an automated tumor detection system is extremely important to aid radiologists and physicians to detect brain tumors. The proposed method has three stages, which are preprocessing, the extreme learning machine local receptive fields (ELM-LRF) based tumor classification, and image processing based tumor region extraction. At first, nonlocal means and local smoothing methods were used to remove possible noises. In the second stage, cranial magnetic resonance (MR) images were classified as benign or malignant by using ELM-LRF. In the third stage, the tumors were segmented. …
An Efficient Structure For T-Cntfets With Intrinsic-N-Doped Impurity Distribution Pattern In Drain Region, Ali Naderi, Maryam Ghodrati
An Efficient Structure For T-Cntfets With Intrinsic-N-Doped Impurity Distribution Pattern In Drain Region, Ali Naderi, Maryam Ghodrati
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, by using impurity distribution engineering of drain region, an efficient structure is proposed for tunneling carbon nanotube field-effect transistors (T-CNTFETs). The drain region of the proposed structure consists of two parts. The impurity density of the part close to the channel is intrinsic and the other is n-type with constant density of 1 nm$^{-1}$. In conventional T-CNTFETs, heavily doped drain causes a spiky drop of potential energy around the channel to drain junction resulting in a pathway for carriers in the valence band to tunnel to the conduction band which means ambipolar behavior and large leakage current. …
Beveled-Shaped Super-Wideband Planar Antenna, Umair Rafique, Sami Ud Din
Beveled-Shaped Super-Wideband Planar Antenna, Umair Rafique, Sami Ud Din
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a design of beveled-shaped planar antenna has been presented for super-wideband applications. The proposed antenna consists of a beveled-shaped radiator, a tapered microstrip feed line, a partial ground plane and two ground planes on the top side of the substrate. The top ground planes are used to match the impedance at lower frequencies and to minimize spurious radiations caused by the feed line. A tapered feed line has been utilized to enhance the overall bandwidth of an antenna. It has been observed from results that a ratio bandwidth of 66.6:1 has been achieved from 0.3 to 20 …
Optimization In The Catalyst Optimizer Of Spark Sql, Meenu Chawla, Vinita Baniwal
Optimization In The Catalyst Optimizer Of Spark Sql, Meenu Chawla, Vinita Baniwal
Turkish Journal of Electrical Engineering and Computer Sciences
Apache Spark is one of the most technically challenged frameworks for cluster computing in which data are processed in a parallel fashion. The cluster consists of unreliable machines. It processes a large amount of data faster compared to the MapReduce framework. For providing the facility of optimized and fast SQL query processing, a new unit is developed in Apache Spark named Spark SQL. It allows users to use relational processing and functional programming in one place. It provides many optimizations by leveraging the benefits of its core. This is called the catalyst optimizer. This optimizer has many rules to optimize …
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining, Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining, Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Turkish Journal of Electrical Engineering and Computer Sciences
With the rapid growth of microblogs and online sites, an inordinate number of product reviews are available on the Internet. They not only help in analyzing, but also assist in making informed decisions about product quality. In the proposed work, an extended correlated principal component analysis (ECPCA) is used for dimensionality reduction. A comparative analysis is conducted on movie reviews (DB-1) and Twitter datasets (DB-2 and DB-3) in opinion mining extraction. The performance of naive Bayes, CHIRP, and support vector machine (SVM) with kernel methods such as radial basis function (RBF), polynomial, and Pearson (PUK) are compared and analyzed on …
Q-Axis Current Perturbation Based Active Islanding Detection For Converter Interfaced Distributed Generators, Suman Murugesan, Venkatakirthiga Murali
Q-Axis Current Perturbation Based Active Islanding Detection For Converter Interfaced Distributed Generators, Suman Murugesan, Venkatakirthiga Murali
Turkish Journal of Electrical Engineering and Computer Sciences
Thanks to the incessant developments in technology towards extracting electric power from renewable energy resources, incorporation of distributed generators has been gaining great importance in recent years. The key expedients for such power generation include reduction in power loss and improvement in the power quality and reliability. In spite of the numerous advantages, it is mandatory to ascertain the island formation and shut down the distributed generators (DGs) during an unplanned islanding. An analyzing technique subsequent to an active islanding detection technique is proposed in this work for faster and accurate detection of island formation. The proposed technique is investigated …
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, silicone rubber-based composites have been widely investigated for outdoor applications due to their promising insulating properties. However, mechanical, thermal, and tracking properties of pure silicone rubber are very poor, which restrains its application for long-term performance. In this research work, the influence of microsized alumina trihydrate (ATH) and micro/nanosized silica (SiO$_{2})$ fillers on mechanical, thermal, and electrical properties of room temperature vulcanized silicone rubber (RTV-SiR) has been studied. SiR-blends with varying amounts of ATH and SiO$_{2}$ particles were prepared by blending in a two-roll mixing mill, compression molding, and postcuring processes in sequence. In order to evaluate …
Design Of A Fractional Order Pid Controller With Application To An Induction Motor Drive, Ashraf Saleem, Hisham Soliman, Serein Al-Ratrout, Mostefa Mesbah
Design Of A Fractional Order Pid Controller With Application To An Induction Motor Drive, Ashraf Saleem, Hisham Soliman, Serein Al-Ratrout, Mostefa Mesbah
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a new method for designing a fractional-order proportional-integral-derivative (FO-PID) controller with an application to an induction motor drive is proposed. In the proposed method, the motor drive is modeled using an autoregressive with exogenous input (ARX) model whose parameters are experimentally identified using real I/O data. A genetic algorithm is then used to find the FO-PID parameters. To guarantee the robustness of the controller against load variations, minimax optimization is adopted. To validate the results, the proposed controller is applied to a real-life motor drive using a hardware-in-the-loop (HIL) simulator. The experimental results show that the proposed …
A New Technique For Optimum Excitation Of Switched Reluctance Motor Drives Over A Wide Speed Range, Mahmoud Hamouda, László Számel
A New Technique For Optimum Excitation Of Switched Reluctance Motor Drives Over A Wide Speed Range, Mahmoud Hamouda, László Számel
Turkish Journal of Electrical Engineering and Computer Sciences
Optimum performance of switched reluctance motors (SRMs) over a wide range of speed control is an essential approach for many industrial applications. However, the doubly salient structure and deep magnetic saturation make magnetization characteristics of SRMs a highly nonlinear function of rotor position and current magnitude. This, in turn, makes the control of SRM drives a challenging task. As the control of SRMs depends on the inductance profile, it requires an adaptive control technique for optimum operation over a wide range of operating speeds. This paper presents an adaptive control technique for optimum excitation of SRM drives. The proposed control …
Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity, Aminollah Glorou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour
Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity, Aminollah Glorou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour
Turkish Journal of Electrical Engineering and Computer Sciences
In recent neuroimaging research, there has been considerable interest in identifying neuromarkers of sleep. Automatic slow wave sleep (SWS) and rapid eye movement (REM) are two known phases of sleep. However, the level by which those changes contribute to brain interactions has not been well characterized. In recent years, it has been shown that brain connectivity measuring can be helpful in investigation of behavioral states of the brain. By considering the fact that brains have different states in different stages of sleep, the present work employs effective connectivity and machine-learning analysis to quantify and classify SWS and REM stages of …
Comparative Analysis Of Mabc With Knn, Som, And Aco Algorithms For Ecg Heartbeat Classification, Seli̇m Di̇lmaç, Zümray Ölmez, Tamer Ölmez
Comparative Analysis Of Mabc With Knn, Som, And Aco Algorithms For Ecg Heartbeat Classification, Seli̇m Di̇lmaç, Zümray Ölmez, Tamer Ölmez
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we proposed a classification method based on a nature-inspired algorithm, i.e., modified artificial bee colony (MABC). This method was applied to electrocardiogram (ECG) heartbeat classification. ECG data was obtained from MITBIH database. Eight different types of heartbeats (N, j, V, F, f, A, a, and R) were analyzed. For a better classification result, both time domain and frequency domain features were used. Feature selection was done by divergence analysis. MABC classification accuracy and heartbeat sensitivity values were compared with the results of other methods. Among other classifiers, k-nearest neighbor (KNN), Kohonen's self-organizing map (SOM), and ant colony …