Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Deep learning (67)
- Classification (66)
- Machine learning (65)
- Optimization (60)
- Genetic algorithm (58)
-
- Particle swarm optimization (50)
- Support vector machine (35)
- Artificial neural network (34)
- Feature extraction (33)
- Wireless sensor networks (31)
- Feature selection (30)
- Power quality (28)
- Artificial neural networks (27)
- Fuzzy logic (26)
- Distributed generation (25)
- Induction motor (24)
- Convolutional neural network (23)
- Clustering (21)
- Support vector machines (20)
- Convolutional neural networks (19)
- Image processing (19)
- Neural networks (19)
- Sliding mode control (19)
- Energy efficiency (18)
- Renewable energy (18)
- Electric vehicle (17)
- Natural language processing (17)
- Neural network (17)
- Reliability (17)
- Adaptive control (16)
- Publication Year
Articles 1681 - 1710 of 3106
Full-Text Articles in Engineering
A Cooperative Neural Network Approach For Enhancing Data Traffic Prediction, Salihu Aish Abdulkarim, Isa Abdullahi Lawal
A Cooperative Neural Network Approach For Enhancing Data Traffic Prediction, Salihu Aish Abdulkarim, Isa Abdullahi Lawal
Turkish Journal of Electrical Engineering and Computer Sciences
This paper addresses the problem of learning a regression model for the prediction of data traffic in a cellular network. We proposed a cooperative learning strategy that involves two Jordan recurrent neural networks (JNNs) trained using the firefly algorithm (FFA) and resilient backpropagation algorithm (Rprop), respectively. While the cooperative capability of the learning process ensures the effectiveness of the regression model, the recurrent nature of the neural networks allows the model to handle temporally evolving data. Experiments were carried out to evaluate the proposed approach using high-speed downlink packet access data demand and throughput measurements collected from different cell sites …
Proposing A New Clustering Method To Detect Phishing Websites, Morteza Arab, Mohammad Karim Sohrabi
Proposing A New Clustering Method To Detect Phishing Websites, Morteza Arab, Mohammad Karim Sohrabi
Turkish Journal of Electrical Engineering and Computer Sciences
Phishing websites are fake ones that are developed by ill-intentioned people to imitate real and legal websites. Most of these types of web pages have high visual similarities to hustle the victims. The victims of phishing websites may give their bank accounts, passwords, credit card numbers, and other important information to the designers and owners of phishing websites. The increasing number of phishing websites has become a great challenge in e-business in general and in electronic banking specifically. In the present study, a novel framework based on model-based clustering is introduced to fight against phishing websites. First, a model is …
A Novel Empirical Sir-To-Cqi Mapping Rule For Dc-Hsdpa Systems, Çeti̇n Kurnaz, Begüm Korunur Engi̇z, Murat Oğuz Esenalp
A Novel Empirical Sir-To-Cqi Mapping Rule For Dc-Hsdpa Systems, Çeti̇n Kurnaz, Begüm Korunur Engi̇z, Murat Oğuz Esenalp
Turkish Journal of Electrical Engineering and Computer Sciences
This study aims to determine the mapping rule for signal-to-interference ratio (SIR) to channel quality indicator (CQI) based on DC-HSDPA real field measurements. The measurements were performed using the TEMS Investigation Tool at 85 different propagation mediums. The measurement results showed that the SIR-to-CQI mapping methods in the literature were insufficient to characterize actual radio environments; thus, proposal of a new empirical SIR-to-CQI mapping rule was aimed. This rule provides substantially better performance than the existing methods, and with this rule CQI can be generated from SIR with an accuracy of around 90% for DC-HSDPA systems.
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Turkish Journal of Electrical Engineering and Computer Sciences
Investigation of the effects of yarn parameters on fabric quality and finding important parameters to achieve desired fabric properties are important issues for the design process with the aim to meet the needs of the textile industry and the consumer for complex and specific requirements of functionality. Despite many statistical and mathematical studies that predict and reveal specific properties of utilized yarn and fabric materials, a number of challenges continue to exist when evaluated in many perspectives, such as discovering complex relationships among material properties in data. Data mining plays an important role in discovering hidden patterns from fabric data …
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
Turkish Journal of Electrical Engineering and Computer Sciences
This paper establishes a probabilistic scenario-based framework for the stochastic dynamic economic emission dispatch with unit commitment (SDEED-UC) problem, by considering wind power integration. The scenario generation and reduction method are implemented to describe wind power uncertainty. Accordingly, each wind power scenario is analyzed separately to determine the on/off status of the units. As for a predetermined significance level, the UC scheduling solution can be obtained with a probabilistic point of view, considering all the original scenarios. Then the SDEED problem is converted into a number of deterministic scheduling problems. For each scenario in the reduced set, an enhanced multiobjective …
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the results of research that aims to find a suitable, reliable, and lightweight pseudorandom number generator for constrained devices used in the Internet of things. Within the study, three reduced versions of the xorshift+ generator are built. They are tested using the TestU01 suite as well as the NIST suite to measure their ability to produce randomness and performance values along with some other existing generators. The best of our reduced variations according to our tests, called the xorshiftR+, demonstrated great suitability for lightweight devices considering its randomness, performance, and resource usage.
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Turkish Journal of Electrical Engineering and Computer Sciences
Stock market prediction is a very noisy problem and the use of any additional information to increase accuracy is necessary. In this paper, for the stock daily return prediction problem, the set of features is expanded to include indicators not only for the stock to be predicted itself but also a set of other stocks and currencies. Afterwards, different feature selection and classification methods are utilized for prediction. The daily close returns of the 3 most traded stocks (GARAN, THYAO, and ISCTR) in Borsa İstanbul (BIST) are predicted using indicators computed on those stocks, indicators for all the other stocks …
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
Turkish Journal of Electrical Engineering and Computer Sciences
Optimal minimization of total harmonic distortion (OMTHD) and selective harmonic elimination (SHE) switching techniques are usually employed to reduce generated harmonics of multilevel inverters. In the former technique, the THD of waveform is reduced without elimination of any harmonic order and the latter, in contrast, eliminates selected harmonic orders. In this paper, the harmonic elimination ability of the SHE technique is added to OMTHD and an improved OMTHD technique is proposed for an n-level cascaded multilevel inverter with adjustable DC sources. The main novelty of this switching technique is elimination of some harmonic orders, beside THD minimization. Moreover, optimal DC …
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a new scheme for effective output port isolation and return loss in RF-filtering divider design. The proposed design incorporates an extended transmission line and a conventional resistor as isolation elements. The technique has a simpler microstrip circuit implementation when it comes to the integration of a single-band band-pass filter with a Wilkinson power divider to achieve simultaneous filtering-dividing action. It is established that if a band-pass filter with a certain fractional-bandwidth is matched to 70.7 $\Omega $, a transmission line section and isolation resistor are sufficient for achieving reasonable output port return loss and isolation in the …
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Turkish Journal of Electrical Engineering and Computer Sciences
This paper attempts to examine the effect of stator-rotor geometry on the minimization of cogging torque of a flux reversal generator (FRG). With respect to stator geometry, height (or thickness) of the permanent magnets of the stator poles was varied and cogging torque minimization was observed. With respect to rotor geometry, the following cases were considered: a) rotor pole arc variation and b) V-shaped punches on the rotor pole. The characterization of FRG under these cases for the observation of the effects on cogging torque was performed using three-dimensional finite element analysis. From the results of simulation, a model was …
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a system day-ahead hourly market clearing price forecasting tool for the day-ahead (DA) market and a system DA hourly marginal price forecasting tool for the real-time market of the Turkish electric market (TEM). These forecasting tools are developed based on artificial neural networks (ANNs). A series of historical price data of the TEM are utilized to model and optimize the ANN structure and to develop the ANN-based price forecasting tool. The methodology used to select the optimum ANN architecture provides the minimum daily mean absolute percentage error for both day-ahead market prices in the TEM. Performances of …
A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu
A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a symmetrically feeding structure for linear dual-polarized feeds for a compensated compact test range (CCR) and a corresponding wideband balun are put forward. $TM_{01}$ and $TE_{21} $ modes within the circular feeding waveguide are compressed due to its electrical balance. The polarization purity of feeds is then improved. Thus, the level of cross-polarization can be very low, which is the key requirement for CCR. A new wideband balun that acts as a power-divider and phase shifter with low amplitude unbalance and phase unbalance is designed for the new feeding structure. The return loss equation derived from an …
Implementation Of Zero Voltage Switched Sepic/Zeta Bidirectional Converter For Low Power Applications Using Fpga, Venmathi Mahendran, Ramaprabha Ramabadran
Implementation Of Zero Voltage Switched Sepic/Zeta Bidirectional Converter For Low Power Applications Using Fpga, Venmathi Mahendran, Ramaprabha Ramabadran
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a derived SEPIC/ZETA bidirectional converter (BDC) with reduced ripple in the noninverted output voltage. This converter is obtained by the fusion of unidirectional SEPIC and ZETA converters that ensures reduced ripple in the inductor currents. The optimal selection of duty ratio enables the proposed converter to operate either in SEPIC or ZETA mode under forward and reverse power flow. The presence of auxiliary circuit not only reduces the voltage stress on the switches by operating under zero voltage switching condition but also provides isolation between the input and the output ports. The operational principle and the stability …
Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r
Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a channel estimator based on an adaptive neuro fuzzy inference system (ANFIS) is proposed for the purpose of estimating channel frequency responses in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. To see the performance of our proposed channel estimation method, five different techniques including well-known pilot-based estimation algorithms such as least squares (LS) and minimum mean square error (MMSE) with other heuristic methods like multilayered perceptron (MLP) trained by a backpropagation (BP) algorithm (MLP-BP), MLP trained by the Levenberg--Marquardt (LM) algorithm (MLP-LM), and radial basis function neural network (RBFNN) are compared with our proposed method …
Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz
Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz
Turkish Journal of Electrical Engineering and Computer Sciences
Managing of natural resources including agriculture and forestry is a very important subject for governments and decision makers. Up-to-date, accurate, and timely geospatial information about natural resources is needed in the management process. Remote sensing technology plays a significant role in the production of this geospatial information. Compared to terrestrial work, the analysis of larger areas with remote sensing techniques can be done on a shorter timescale and at lower cost. Image classification in remote sensing is one of the most popular methods used for the detection of forest and agricultural areas. However, the accuracy of classification changes according to …
A Measurement Study Of Internet Exchange Points (Ixps): History And Future Prediction, Mohammad Masoud, Yousef Jaradat, Ismael Jannoud
A Measurement Study Of Internet Exchange Points (Ixps): History And Future Prediction, Mohammad Masoud, Yousef Jaradat, Ismael Jannoud
Turkish Journal of Electrical Engineering and Computer Sciences
Internet exchange points (IXPs) emerged to remedy the deficiency of peering connections among autonomous systems (ASes). IXPs play an important role in reducing the cost of transit connections over the Internet. This work attempts to study the popularity of IXPs over the Internet. This work consists of two main parts. The first part is a measurement study of multihistorical snapshots of IXPs. These historical data have been harvested for different European IXPs with emphasis on Amsterdam (AMS-IX) IXP. In the second part, two nonlinear autoregressive exogenous (NARX) back-propagation neural network models (BPNN) have been implemented to predict the following: the …
Protection Coordination For A Distribution System In The Presence Of Distributed Generation, Muhammad Yousaf, Tahir Mahmood
Protection Coordination For A Distribution System In The Presence Of Distributed Generation, Muhammad Yousaf, Tahir Mahmood
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes an effective strategy to overcome the impacts on coordination among protection devices due to distributed generator (DG) integration. Increased fault current magnitude and changes in power flow directions are the major impacts imposed by DGs on a typical distribution system. The recloser-fuse coordination is much influenced upon the integration of DGs. The proposed approach presents the rehabilitation of recloser-fuse coordination for post-DG integration effects using the directional properties of a recloser. The simulation results show that coordination among protection devices can be regained using fast operation of the recloser to design a fuse saving scheme in the …
A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy
A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, an increasing number of various surgeries are observed utilizing fluoroscopy. The radiation exposure received by patients and medical staff and the surgical guidance in multiple planes frequently necessitate the positioning of a mobile C-arm. Operative navigation enables a mobile C-arm to provide multiplanar surgical guidance and decreases the radiation dose to the patient and operating room personnel. In this study, we propose a video-based tracked mobile C-arm (referred to as a "tracked C-arm system") to position the system. This system defines a reference framework to maintain the video-optical tracker data and computed tomography (CT) or cone-beam CT …
Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif
Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif
Turkish Journal of Electrical Engineering and Computer Sciences
Automatic detection of heart beats constitutes the basis for electrocardiogram (ECG) analysis and mainly relies on detecting QRS complexes. Detection is typically performed by analyzing the ECG signal. However, when signal quality is low, it often leads to the triggering of false alarms. A contemporary approach to reduce false alarm rate is to use multimodal data such as arterial blood pressure (ABP) or photoplethysmogram (PPG) signals. To leverage the correlated temporal nature of these signals, a probabilistic data fusion model for heart beat detection is proposed. A hidden Markov model is used to decode waveforms into segments. A Bayesian network …
Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu
Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues. Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques. MRCTI reconstructs tensor images of anisotropic conductivity whereas MREIT reconstructs isotropic conductivity images. In this study, spatial resolution and linearity of five recently proposed MRCTI algorithms are evaluated using simulated measurements gathered from three different computer models. The results show that all five algorithms have quite similar reconstruction performances. Since the AB$_{z}$S algorithm is easier to apply compared to the other …
Performance Comparison Of Axial-Flux-Modulated Motor With Two Pole-Slot Combinations, Huijuan Liu, Yue Hao, Weinong Fu
Performance Comparison Of Axial-Flux-Modulated Motor With Two Pole-Slot Combinations, Huijuan Liu, Yue Hao, Weinong Fu
Turkish Journal of Electrical Engineering and Computer Sciences
Axial-flux-modulated motors (AFMMs) with two pole-slot combinations are presented and analyzed quantitatively. They all have new topology structures, and their design rules differ from those of the traditional machine. The concentrated stator windings are designed to reduce the end length and copper losses; therefore, the efficiency of the motors can be improved. Special iron segments in the air-gap are used to modulate the magnetic field. The two proposed AFMMs have 36 stator slots and 30 stator slots, respectively, and the pole-slot combinations are 6 poles for 36 slots and 4 poles for 30 slots. This paper focuses on the comparative …
A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul
A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul
Turkish Journal of Electrical Engineering and Computer Sciences
Data-intensive applications produce huge amounts of data that need to be stored, analyzed, and interpreted. A data grid serves as a cost-effective infrastructure for solving these data-intensive applications. Existing scheduling strategies are best suited for handling compute-intensive applications, although they lack in performance while handling data-intensive applications. In this work, a novel mechanism of incorporating cognitive science in a data grid is proposed for scheduling data-intensive workflows. A unique model is derived in which a cognitive engine (CE) is built into the middleware of the data grid. The intelligent agents present in the CE handle the request for data sets …
Design Fabrication And Test Of An X-Band Dual Polarized Aperture-Coupled Reflectarray Element For Beam Switching, Iman Aryanian, Abdolali Abdipour, Gholamreza Moradi
Design Fabrication And Test Of An X-Band Dual Polarized Aperture-Coupled Reflectarray Element For Beam Switching, Iman Aryanian, Abdolali Abdipour, Gholamreza Moradi
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper a dual polarized aperture-coupled reflectarray unit cell is designed, fabricated, and tested. The element is based on patches aperture-coupled to delay lines. This unit cell has the capability of switching the beam direction in two orthogonal polarizations using a PIN diode or MEMS switch by changing the length of the transmission line coupled to the patch. The proposed structure is used in the design of an X-band reflectarray antenna in two states having angles off broadside of 0$^{\circ}$ and 10$^{\circ}$.
Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam
Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam
Turkish Journal of Electrical Engineering and Computer Sciences
One of the major challenges in cloud computing is the development of a service-level agreement (SLA) negotiation framework using an intelligent third-party broker negotiation strategy. Current frameworks exploit various negotiation strategies using game theoretic, heuristic, and argumentation-based approaches for obtaining optimal negotiation with a better success rate (negotiation commitment). However, these approaches fail to optimize the negotiation round (NR), total negotiation time (TNT), and communication overhead (CO) involved in the negotiation strategy. To overcome these problems, certain researchers have exploited trade-off, concession, and behavioral learning strategies with varying degrees of sacrifices (reductions) in their concerned proposal generation. Such sacrifices can …
An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain
An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain
Turkish Journal of Electrical Engineering and Computer Sciences
Data gathering is a focal task in wireless sensor networks (WSNs) that expends most of the sensor nodes' energy. Two factors that are considered essential in data gathering are latency and power consumption. The multihop data gathering approach proves that latency is minimized due to the speed of forwarding data to the base station. However, this may lead to increased power consumption and increased possibility of an emerging hotspot area. In contrast, data gathering based on a mobile element (ME) proves that power consumption is minimized due to avoiding relay data in extreme schemes. However, this may increase the latency …
Automatic Instrumental Platform For The Measurement Of The Characteristics Of Ferromagnetic Materials Based On Labview, Monia Ferjani Jaafar
Automatic Instrumental Platform For The Measurement Of The Characteristics Of Ferromagnetic Materials Based On Labview, Monia Ferjani Jaafar
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we propose a complete automation of the different measurements of ferromagnetic materials dynamic characterization according to the CEI60404-6 standard. The measurement bench consists of two major parts: hardware and software. The hardware part comprises a programmable function generator MTX-3240, an electronic card for the magnetic induction's waveform control, and an NI PCI-6225 acquisition card. The software part is developed in the LabVIEW environment to enable the generator and the acquisition card control. It also allows for the processing of obtained experimental records and the correction of static errors. The identified characteristics are mainly the first magnetization curve, …
Pseudorandom Number Generator Based On Arnold Cat Map And Statistical Analysis, Erdi̇nç Avaroğlu
Pseudorandom Number Generator Based On Arnold Cat Map And Statistical Analysis, Erdi̇nç Avaroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Pseudorandom number generators (PRNGs) generate random bit streams based on deterministic algorithms. Any bit stream generated with a PRNG will repeat itself at a certain point, and the bit streams will become correlated. As a result, all bit streams generated in this manner are statistically weak. Such weakness leads to a strong connection between PRNGs and chaos, which is characterized by ergodicity, confusion, complexity, sensitivity to initial conditions, and dependence on control parameters. In this study, we introduce a PRNG that generates bit sequences by sampling two Arnold cat map outputs. The statistical randomness of bit streams obtained using this …
Obstacle Avoidance For Mobile Robot Based On Improved Dynamic Window Approach, Xiuyun Li, Fei Liu, Juan Liu, Shan Liang
Obstacle Avoidance For Mobile Robot Based On Improved Dynamic Window Approach, Xiuyun Li, Fei Liu, Juan Liu, Shan Liang
Turkish Journal of Electrical Engineering and Computer Sciences
The dynamic window approach has the drawback that it may result in local minima and nonoptimal motion decision for obstacle avoidance because of not considering the size constraint of a mobile robot. Thus, an improved dynamic window approach is proposed, which takes into account the relation between the size of the mobile robot and the free space between obstacles. A laser range finder is employed to improve the ability of sensing and prediction of the environment, in order to avoid being trapped in a U-shaped obstacle, such as a box canyon. By applying the proposed method, the local minima problem …
Comparative Study For Identification Of Multiple Alarms In Telecommunication Networks, Ati̇la Yilmaz
Comparative Study For Identification Of Multiple Alarms In Telecommunication Networks, Ati̇la Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
Telecommunication networks consist of communication units interconnected physically or by means of protocols in order to provide basic services like data, voice, or image transfers. In this study, a modeling frame for network units and their links in a topological frame is presented based on a real mobile communication network named TASMUS (TAktik Saha MUharebe Sistemi - Tactical Field Combat System). Alarm handling is one of the most critical features required in communication networks. Based on simulated single alarm and multiple (double) alarm scenarios, known powerful alarm estimation approaches, namely the coding method, neural networks, and knowledge-based systems, have been …
A Power Sharing Control For Microgrids Based On Extrapolation Of Injecting Power And Power-Angle Control, Suchart Janjornmanit, Suttichai Premrudeepreechacharn
A Power Sharing Control For Microgrids Based On Extrapolation Of Injecting Power And Power-Angle Control, Suchart Janjornmanit, Suttichai Premrudeepreechacharn
Turkish Journal of Electrical Engineering and Computer Sciences
Droop controlled power sharing with an assumption that the value of line impedance is unavailable has been proven to have limitations; the power sharing is problematic in systems with significantly resistive lines. Furthermore, when the droop is applied in the islanding mode of operation of a microgrid, the system is likely to become unstable. In this paper, the droop control is replaced by an analytical solution. The proposed approach of power sharing is power-angle control of distributed generators (DGs), such as voltage source converters, a type of DG with extrapolation of power injected to the connected bus. It is demonstrated …