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Articles 13021 - 13050 of 25595

Full-Text Articles in Computer Engineering

A Novel Dtc-Svm Approach For Two Parallel-Connected Induction Motors Fed By Matrix Converter, Mahdi Jafari, Karim Abbaszadeh, Mustafa Mohamadian Jan 2018

A Novel Dtc-Svm Approach For Two Parallel-Connected Induction Motors Fed By Matrix Converter, Mahdi Jafari, Karim Abbaszadeh, Mustafa Mohamadian

Turkish Journal of Electrical Engineering and Computer Sciences

AC machines fed by a single inverter are widely used in industries such as railroad electrification systems where speed synchronization does not have to be exact. The low cost and volume and the small number of power electronic components are attractive aspects of single-inverter multi-motor systems. This paper proposes a novel approach to controlling the speed and torque of two induction motors connected in parallel and fed by a matrix converter under unbalanced load condition. This single-inverter dual-motor (SIDM) drive uses average and differential values of speed and torque together with stator and rotor flux parameters based on the flux …

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Adaptive Collaborative Speed Control Of Pmdc Motor Using Hyperbolic Secant Functions And Particle Swarm Optimization, Omer Saleem, Khalid Mahmood-Ul-Hasan Jan 2018

Adaptive Collaborative Speed Control Of Pmdc Motor Using Hyperbolic Secant Functions And Particle Swarm Optimization, Omer Saleem, Khalid Mahmood-Ul-Hasan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an adaptive collaborative speed controller for a permanent magnet direct-current (PMDC) motor. The proposed scheme beneficially combines the control efforts of a proportional-integral (PI) controller and a linear-quadratic regulator (LQR) via a weighted summing module. Initially, the weightages of the summing module are kept fixed. They are optimally tuned and tested via the particle swarm optimization algorithm. In order to synergize the controller combination, these weightages are adaptively modulated as well, using hyperbolic secant functions of the error dynamics of the motor's angular speed. The adaptive combination renders significant enhancement in the transient response, steady-state response, input-energy …

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Diagnosis Of Reverse Osmosis Desalination Water System Using Bond Graph Approach, Abderrahmene Sallami, Dhia Mzoughi, Abdelkader Mami Jan 2018

Diagnosis Of Reverse Osmosis Desalination Water System Using Bond Graph Approach, Abderrahmene Sallami, Dhia Mzoughi, Abdelkader Mami

Turkish Journal of Electrical Engineering and Computer Sciences

Industrial systems have become quite complicated. It is therefore necessary to look for a reliable supervision system to properly treat the information and make the appropriate decision to stop the system or leave it in operation. Supervision of automated systems goes to the heart of the matter. This paper concerns the design of a new methodology for diagnosis based on bond graph modeling. We apply a diagnostic method by Luenberger observer using the bond graph approach on a desalination unit. Tests are carried out on the water input pressure delivered by the pump and the output flow rates of the …

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Özyeğin Biopsy Robot: System Integration Architecture And Motion Compensation Of A Moving Target, Awais Ahmad, Özkan Bebek Jan 2018

Özyeğin Biopsy Robot: System Integration Architecture And Motion Compensation Of A Moving Target, Awais Ahmad, Özkan Bebek

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents the complete system architecture of a robotic biopsy system for real-time operations. The system has individual functional blocks working simultaneously including a 5 DoF parallel robot, ultrasound (US) imaging machine, two robotic manipulators, and a motion capturing system. Details of the real-time functionality of the robotic system components working with spatial and computational synchronization are presented. This paper also deals with a scenario in which the target tissue is moving due to the breathing of the patient. The motion of the needle tip and the target is tracked using US images as feedback. Two types of control …

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Implementing Universal Dependency, Morphology, And Multiword Expression Annotation Standards For Turkish Language Processing, Umut Sulubacak, Gülşen Eryi̇ği̇t Jan 2018

Implementing Universal Dependency, Morphology, And Multiword Expression Annotation Standards For Turkish Language Processing, Umut Sulubacak, Gülşen Eryi̇ği̇t

Turkish Journal of Electrical Engineering and Computer Sciences

Released only a year ago as the outputs of a research project (``Parsing Web 2.0 Sentences'', supported in part by a TÜBİTAK 1001 grant (No. 112E276) and a part of the ICT COST Action PARSEME (IC1207)), IMST and IWT are currently the most comprehensive Turkish dependency treebanks in the literature. This article introduces the final states of our treebanks, as well as a newly integrated hierarchical categorization of the multiheaded dependencies and their organization in an exclusive deep dependency layer in the treebanks. It also presents the adaptation of recent studies on standardizing multiword expression and named entity annotation schemes …

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Forecasting The Baltic Dry Index By Using An Artificial Neural Network Approach, Beki̇r Şahi̇n, Samet Gürgen, Bedi̇r Ünver, İsmai̇l Altin Jan 2018

Forecasting The Baltic Dry Index By Using An Artificial Neural Network Approach, Beki̇r Şahi̇n, Samet Gürgen, Bedi̇r Ünver, İsmai̇l Altin

Turkish Journal of Electrical Engineering and Computer Sciences

The Baltic Dry Index (BDI) is a robust indicator in the shipping sector in terms of global economic activities, future world trade, transport capacity, freight rates, ship demand, ship orders, etc. It is hard to forecast the BDI because of its high volatility and complexity. This paper proposes an artificial neural network (ANN) approach for BDI forecasting. Data from January 2010 to December 2016 are used to forecast the BDI. Three different ANN models are developed: (i) the past weekly observation of the BDI, (ii) the past two weekly observations of the BDI, and (iii) the past weekly observation of …

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Anomaly Detection Through Keystroke And Tap Dynamics Implemented Via Machine Learning Algorithms, Hani Jawed, Zara Ziad, Muhammad Mubashir Khan, Maheen Asrar Jan 2018

Anomaly Detection Through Keystroke And Tap Dynamics Implemented Via Machine Learning Algorithms, Hani Jawed, Zara Ziad, Muhammad Mubashir Khan, Maheen Asrar

Turkish Journal of Electrical Engineering and Computer Sciences

In our world of growing machine intelligence and increasing security risks, there is a dire need for authentication to be liberated from password dependency and restrictions. This paper discusses the implementation of keystroke biometrics to enhance security using machine-learning algorithms on both Windows and Android. Our research analyzes a user's behavior for authorization purposes by capturing the user's typing pattern. The system extracts several features from the user's typing pattern to apply unary classification for user behavior analysis so that we can detect unauthorized users. Our system implements machine learning on tap dynamics in Android, allowing both training and prediction …

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Reliable Data Gathering In The Internet Of Things Using Artificial Bee Colony, Samad Najjar-Ghabel, Shamim Yousefi, Leili Farzinvash Jan 2018

Reliable Data Gathering In The Internet Of Things Using Artificial Bee Colony, Samad Najjar-Ghabel, Shamim Yousefi, Leili Farzinvash

Turkish Journal of Electrical Engineering and Computer Sciences

The Internet of Things (IoT) technology enables physical devices to communicate with each other for preparing, gathering, and sharing hazard warnings or critical information without human intervention. With respect to emergency applications of IoT technology, an essential issue is to provide an efficient and robust scheme for data gathering. The proposed solution in the existing approaches is to construct a spanning tree over the IoT devices and collect data using the tree. The shortcoming of these algorithms is that they do not take into account the probability of device mobility or failure. In such cases, the spanning tree is split, …

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Compact Microstrip Lowpass Filter With Ultrasharp Response Using A Square-Loaded Modified T-Shaped Resonator, Ali Pirasteh, Saeed Roshani, Sobhan Roshani Jan 2018

Compact Microstrip Lowpass Filter With Ultrasharp Response Using A Square-Loaded Modified T-Shaped Resonator, Ali Pirasteh, Saeed Roshani, Sobhan Roshani

Turkish Journal of Electrical Engineering and Computer Sciences

A miniaturized lowpass filter (LPF) with ultrasharp response, good figure of merit (FOM), and simple structure is proposed. The designed structure is fabricated and measured with a 2.9 GHz cut-off frequency. The proposed LPF consists of high impedance lines that are loaded by three similar resonators and two uniform suppressing cells. The filter size is only 0.08~$\times $~0.23~$\lambda $g, which indicates small circuit size. The proposed design exhibits good features, such as an ultrasharp roll-off rate of about 1609 dB/GHz and a good FOM of 162,820. The insertion loss of the proposed LPF is less than 0.14 dB in the …

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Simulation Of Infinite Periodic Graphene Planar Grating In The Thz Range By The Method Of Singular Integral Equations, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky Jan 2018

Simulation Of Infinite Periodic Graphene Planar Grating In The Thz Range By The Method Of Singular Integral Equations, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky

Turkish Journal of Electrical Engineering and Computer Sciences

Plane wave diffraction by the infinite periodic planar graphene grating and infinite grating above a perfectly conducting plane in the THz range is considered. The mathematical model is based on the graphene surface impedance and the method of singular integral equations. A comparison with finite grating is made. Reflectance, transmittance, and absorbance are studied as a function of graphene and grating parameters.

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Solving A Combined Economic Emission Dispatch Problem Using Adaptive Wind Driven Optimization, Milena Jevtic, Nenad Jovanovic, Jordan Radosavljevic Jan 2018

Solving A Combined Economic Emission Dispatch Problem Using Adaptive Wind Driven Optimization, Milena Jevtic, Nenad Jovanovic, Jordan Radosavljevic

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, the adaptive wind driven optimization (AWDO) algorithm is applied for solving the combined economic emission dispatch (CEED) problem. AWDO is one of the newest hybrid algorithms, which optimizes the selection of coefficients at each iteration, eliminating the need for tuning the coefficients. The evaluation of AWDO performances is carried out on the standard IEEE 30-bus test system with 6 generating units and with various cost curve natures. The results of AWDO use with the test system are compared against the results of use of 3 algorithms: the moth swarm algorithm, firefly algorithm, and hybrid particle swarm optimization …

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A Generalized Detection System To Detect Distributed Denial Of Service Attacks And Flash Events For Information Theory Metrics, Sunny Behal, Krishan Kumar, Monika Sachdeva Jan 2018

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. …

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A Novel Model For Minimizing Unnecessary Handover In Heterogeneous Networks, Babatunji Omoniwa, Riaz Hussain, Junaid Ahmed, Adeel Iqbal, Ahmed Murkaz, Qadeer Ul-Hasan, Shahzad Ali Malik Jan 2018

A Novel Model For Minimizing Unnecessary Handover In Heterogeneous Networks, Babatunji Omoniwa, Riaz Hussain, Junaid Ahmed, Adeel Iqbal, Ahmed Murkaz, Qadeer Ul-Hasan, Shahzad Ali Malik

Turkish Journal of Electrical Engineering and Computer Sciences

Over the years, vertical handover necessity estimation has attracted the interest of numerous researchers. Despite the attractive benefits of integrating different wireless platforms, mobile users are confronted with the issue of detrimental handover. This paper uses extensive geometric and probabilistic techniques to develop a realistic and novel model for the coverage area of a wireless local area network (WLAN) cell with an aim to minimize unnecessary handover and handover failure of a mobile node (MN) traversing the WLAN cell from a third-generation network. The dwell time is estimated along with the threshold values to ensure an optimal handover decision by …

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Lorenz-Like System Design Using Cellular Neural Networks, Eni̇s Günay, Kenan Altun Jan 2018

Lorenz-Like System Design Using Cellular Neural Networks, Eni̇s Günay, Kenan Altun

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterfly chaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNN imitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis results are presented in order to verify the convenience of the system.

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Hardware Implementation And Comparison Of Displacement Retrieval Algorithms For A Laser Diode-Based Optical Feedback Interferometric Sensor, Ghazi Rehman, Usman Zabit, Muhammad Obaid Ullah Jan 2018

Hardware Implementation And Comparison Of Displacement Retrieval Algorithms For A Laser Diode-Based Optical Feedback Interferometric Sensor, Ghazi Rehman, Usman Zabit, Muhammad Obaid Ullah

Turkish Journal of Electrical Engineering and Computer Sciences

Optical feedback interferometer (OFI) lasers, also called self-mixing (SM) lasers, have been widely explored over the last couple of decades due to their low cost, compactness, and self-aligned nature and they provide a very good solution for measurements of displacement, vibration, distance, velocity, etc. The SM effect takes place when a part of the laser beam is fed back to the active laser cavity after reflecting from the target. The reflected beam interferes with the emitted beam and hence the optical and spectral characteristics of the laser get changed. To retrieve the vibration or displacement signal of the target from …

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Reduction Of Pmus Via Hybrid Pmu-Rtu Communication Changeover In The Case Of Cyberattack On Vulnerable Power Transmission Lines, Noorollah Fardad, Soodabeh Soleymani, Faramarz Faghihi Jan 2018

Reduction Of Pmus Via Hybrid Pmu-Rtu Communication Changeover In The Case Of Cyberattack On Vulnerable Power Transmission Lines, Noorollah Fardad, Soodabeh Soleymani, Faramarz Faghihi

Turkish Journal of Electrical Engineering and Computer Sciences

A power grid strictly depends on information and communication technology. The key role of real-time measurement and information control for the reliable operation of a power grid is the responsibility of the phase measurement units (PMUs). As smart power grids encounter a variety of unauthorized malicious accesses such as cyberattacks, PMU placement is an important problem. In this study, a new algorithm was proposed to specify the minimum number of PMUs in the case of cyberattacks on their communication lines and equipment. In order to analyze complete observability of the distribution system, a range of probable contingencies for the vulnerable …

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Grid-Connected Quasi-Z-Source Inverter With Battery, Umesh Shinde, Sagar Kottagattu, Sumant Kadwane, Snehal Gawande Jan 2018

Grid-Connected Quasi-Z-Source Inverter With Battery, Umesh Shinde, Sagar Kottagattu, Sumant Kadwane, Snehal Gawande

Turkish Journal of Electrical Engineering and Computer Sciences

Grid-connected inverters are now increasingly used in distributed microgrid and smart-grid applications. The advantages of a quasi-Z-source inverter (QZSI), like single-stage operation, lower component rating, continuous input current, and common DC rail, led to an investigation of this converter for grid-connected applications. This paper presents a grid-connected QZSI with both AC and DC side controls. A new battery-charging configuration is also suggested across the capacitor through which the DC side control loop is regulated. Fast dynamic response and reduced harmonics are demonstrated through simulation and experimental results.

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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 Jan 2018

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 …

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Automated Citation Sentiment Analysis Using High Order N-Grams: A Preliminary Investigation, Muhammad Touseef Ikram, Muhammad Tanvir Afzal, Naveed Anwer Butt Jan 2018

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 …

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Performance Analysis Of Distributed Fiber Raman Amplifiers Employing Higher Order Pumping Schemes In Optical Transmission Systems, Kulwinder Singh Malhi, Manjeet Singh Patterh, Manjit Singh Bhamrah Jan 2018

Performance Analysis Of Distributed Fiber Raman Amplifiers Employing Higher Order Pumping Schemes In Optical Transmission Systems, Kulwinder Singh Malhi, Manjeet Singh Patterh, Manjit Singh Bhamrah

Turkish Journal of Electrical Engineering and Computer Sciences

Performance of fiber Raman amplifier is explored with special emphasis on higher order pumping configurations for wavelength division multiplexed optical transmission systems. The amplification analysis is done in terms of equivalent noise figure (ENF), optical signal-to-noise ratio (OSNR), and double Rayleigh backscattering (DRBS) noise powers. The investigations reveal that at 36 dB on--off gain, ENF improvement of 1 dB (using second order pumping) and of 2 dB (using third order pumping configuration) can be achieved. On similar lines, by varying input optical power and fiber length, OSNR and DRBS are reported for the higher order of pumping configurations. Overall, the …

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Ionolab-Map: An Automatic Spatial Interpolation Algorithm For Total Electron Content, Muhammet Necat Devi̇ren, Feza Arikan Jan 2018

Ionolab-Map: An Automatic Spatial Interpolation Algorithm For Total Electron Content, Muhammet Necat Devi̇ren, Feza Arikan

Turkish Journal of Electrical Engineering and Computer Sciences

Investigation of the variability of total electron content (TEC) is one of the most important parameters of the observation and monitoring of space weather, which is the main cause of signal disturbance in space-based communication, positioning, and navigation systems. TEC is defined as the total number of electrons on a ray path. The Global Positioning System (GPS) provides a cost-effective solution for the estimation of TEC. Due to various physical and operational disturbances, TEC may have temporal and spatial domain gaps. Global ionospheric maps (GIMs) provide worldwide TEC with 1- to 2-h temporal resolution and $2.5^{\circ}\, \times 5^{\circ}$ spatial resolution …

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Cache-Timing Attacks Without A Profiling Phase, Ali̇ Can Atici, Cemal Yilmaz, Erkay Savaş Jan 2018

Cache-Timing Attacks Without A Profiling Phase, Ali̇ Can Atici, Cemal Yilmaz, Erkay Savaş

Turkish Journal of Electrical Engineering and Computer Sciences

Theoretically secure cryptographic algorithms can be vulnerable to attacks due to their implementation flaws. Bernstein's attack is a well-known cache-timing attack that uses execution times as the side-channel. The major drawback of this attack is that it needs an identical target machine to perform its profiling phase where the attacker models the cache timing-behavior of the target machine. This assumption makes the attack unrealistic in many circumstances. In this work, we present an effective method to eliminate the profiling phase. We propose a methodology to model the cache timing-behavior of the target machine by trying hypothetical cache behaviors exhaustively. Our …

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User Interaction In Hands-Free Gaming: A Comparative Study Of Gaze-Voice And Touchscreen Interface Control, Muhtar Çağkan Uludağli, Cengi̇z Acartürk Jan 2018

User Interaction In Hands-Free Gaming: A Comparative Study Of Gaze-Voice And Touchscreen Interface Control, Muhtar Çağkan Uludağli, Cengi̇z Acartürk

Turkish Journal of Electrical Engineering and Computer Sciences

The goal of the present study is to contribute to the research on the use of eye tracking in hands-free gaming. We report the results of an experimental study by using a platform game designed by the authors. The game allowed gaze-voice command control, as well touchscreen control of the interface by the player. We employed a set of performance measures and we measured player engagement as an indicator of user experience. The findings revealed that the players did not improve in game performance when they used the gaze-voice control compared to the touchscreen control. On the other hand, they …

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Presenting A Method To Perform Cyber Maneuvers, Mohammad Shakibazad, Alijabar Rashidi Jan 2018

Presenting A Method To Perform Cyber Maneuvers, Mohammad Shakibazad, Alijabar Rashidi

Turkish Journal of Electrical Engineering and Computer Sciences

Performing cyber maneuvers in an operational environment is not easy. We need a cyber-situational awareness framework to perform its maneuvers to protect the cyberspace and to cope with its attacks. The battlefield provided has essential information for detecting cybercrime events. The present study resolved the challenges of implementing these maneuvers through dynamic simulation of the cyber battlefield. The cyber battlefield contains detailed information on cyberspace elements, including the vulnerability knowledge repository, the tangible and intangible components of the cyberspace allowing maneuvering, penetration testing, injection attacks, tracking attacks, visualization, evaluation of the impact of cyberattacks, and risk evaluation. By injecting attacks …

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Minimizing Path Loss Prediction Error Using K-Means Clustering And Fuzzy Logic, Wiyada Bhupuak, Siraphop Tooprakai Jan 2018

Minimizing Path Loss Prediction Error Using K-Means Clustering And Fuzzy Logic, Wiyada Bhupuak, Siraphop Tooprakai

Turkish Journal of Electrical Engineering and Computer Sciences

This research proposes an algorithmic scheme based on k-means clustering and fuzzy logic to minimize path loss prediction error. The proposed k-means fuzzy scheme concurrently utilizes the area topographical variability and multiple path loss prediction models to mitigate the prediction error inherent in the independent use of a conventional path loss model. Vegetation density, manmade structures, and transmission-receiver distances are the fuzzy inputs and the conventional path loss models the output: the free space loss, Walfisch--Ikegami, HATA, ECC-33, Stanford University Interim, and ERICSSON models. The experimental results show that the path loss prediction error of the k-mean fuzzy scheme is …

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An Efficient Recurrent Fuzzy Cmac Model Based On A Dynamic-Group--Based Hybrid Evolutionary Algorithm For Identification And Prediction Applications, Chin-Ling Lee, Chengjian Lin Jan 2018

An Efficient Recurrent Fuzzy Cmac Model Based On A Dynamic-Group--Based Hybrid Evolutionary Algorithm For Identification And Prediction Applications, Chin-Ling Lee, Chengjian Lin

Turkish Journal of Electrical Engineering and Computer Sciences

This article presents an efficient TSK-type recurrent fuzzy cerebellar model articulation controller (T-RFCMAC) model based on a dynamic-group--based hybrid evolutionary algorithm (DGHEA) for solving identification and prediction problems. The proposed T-RFCMAC model is based on the traditional CMAC model and the Takagi--Sugeno--Kang (TSK) parametric fuzzy inference system. Otherwise, the recurrent network, which imports feedback links with a receptive field cell, is embedded in the T-RFCMAC model, and the feedback units are used as memory elements. The DGHEA, which is a hybrid of the dynamic-group quantum particle swarm optimization (QPSO) and the Nelder--Mead method, is proposed for adjusting the parameters of …

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Reducing Power System Model Dimensions Based On Linearization For Static Analysis, Farid Karbalaei, Maryam Jebreilzadeh, Hamidreza Shahbazi Jan 2018

Reducing Power System Model Dimensions Based On Linearization For Static Analysis, Farid Karbalaei, Maryam Jebreilzadeh, Hamidreza Shahbazi

Turkish Journal of Electrical Engineering and Computer Sciences

A reliable solution for determining the effect of a group of contingencies on a power system is to simulate all of them through load flow. It is impossible to simulate any detailed cases through a complete AC load flow solution because of the high number of possible contingencies. For this reason, system dimension reduction methods, which are based on an equivalent of one part of a system, are being used. In this paper we compare our previously proposed network equivalent method with the 2 well-known equivalent methods of Ward and Ward-PV in terms of solving speed and accuracy. The proposed …

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Performance Estimation And Analysis Of Power Line Communication Using Single-Ended Loop Testing, Bharathi Mayilswamy, Amsaveni Avinashiappan Jan 2018

Performance Estimation And Analysis Of Power Line Communication Using Single-Ended Loop Testing, Bharathi Mayilswamy, Amsaveni Avinashiappan

Turkish Journal of Electrical Engineering and Computer Sciences

Using the electricity infrastructure for broadband data transmission is known as power line communication (PLC). The quality of broadband connectivity over a power line is a strong function of the line topology. Two-step hybrid single-ended loop testing (SELT) to estimate the open port loop topology of power lines is discussed in this paper. Correlation time domain reflectometry (CTDR) at different sockets is used to construct the initial topology. Optimization-based frequency domain reflectometry (FDR) is employed to ascertain more accurate power line topology. The discussed method has the advantage of reusing the existing DSL modem for the measurement and no prior …

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An Automatic Extraction Algorithm Of High Voltage Transmission Lines From Airborne Lidar Point Cloud Data, Xiaojun Shen, Chuan Qian, Yong Du, Xinle Yu, Rui Zhang Jan 2018

An Automatic Extraction Algorithm Of High Voltage Transmission Lines From Airborne Lidar Point Cloud Data, Xiaojun Shen, Chuan Qian, Yong Du, Xinle Yu, Rui Zhang

Turkish Journal of Electrical Engineering and Computer Sciences

To improve the effectiveness and generality of existing methods of high voltage (HV) transmission lines extraction, this paper proposes a novel automatic extraction method of HV transmission lines using airborne LIDAR point cloud data by incorporating the geography of transmission corridors and the distribution characteristics of airborne LIDAR point cloud data. The proposed method results in the separation of ground objects by using a differentiation height threshold segmentation algorithm based on subspace features, which divide long-distance space into several small-distance space sets to improve the generality of the algorithm. A height density segmentation algorithm is used to locate transmission towers …

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Optimal Coordination Of Overcurrent Protection In The Presence Of Sfcl And Distributed Generation, Saeed Asgharigovar, Heresh Seyedi, Shahram Parchehbaf Dibazari Jan 2018

Optimal Coordination Of Overcurrent Protection In The Presence Of Sfcl And Distributed Generation, Saeed Asgharigovar, Heresh Seyedi, Shahram Parchehbaf Dibazari

Turkish Journal of Electrical Engineering and Computer Sciences

As power demand is increased, power generation and especially distributed generation (DG) are being developed. Therefore, power distribution systems become increasingly complicated and short circuit level in distribution grids is being augmented. Thereby, installation of a superconducting fault current limiter (SFCL) is a logical solution to decrease the fault current level in a distribution network. Preventing distribution system degradation by high fault currents, lower equipment ratings, and economic issues are the advantages of SFCL in distribution grids. However, SFCL installation causes delayed operation of the existing overcurrent protection and requires recoordination of the relays. In addition, disconnecting the SFCL from …

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