New Approach In Two-Area Interconnected Agc Including Various Renewable Energy Sources Using Pso,
2018
TÜBİTAK
New Approach In Two-Area Interconnected Agc Including Various Renewable Energy Sources Using Pso, Prasun Sanki, Mousumi Basu
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel approach for automatic generation control (AGC) as an integrated two-area thermal-hybrid power generation system (THPGS) where thermal generators are interconnected with various renewable power generators (RPGs) like a solar power generator (SPG), wind power generator (WPG), fuel cell, and aqua electrolyzer. A comparison is carried out between the THPGS and a normal thermal power system considering proportional integral and derivative controllers. Particle swarm optimization (PSO) is used for optimizing the gain parameters of the controller. Investigation of dynamic responses is carried out considering step load perturbation as well as random load perturbation (RLP). Problems are …
Higher Order Sliding Mode Controller For Urea-Scr System,
2018
TÜBİTAK
Higher Order Sliding Mode Controller For Urea-Scr System, Palanikumar Gurusamy, Uma Gandhi, Umapathy Mangalanathan, Arunshankar Jayabalan
Turkish Journal of Electrical Engineering and Computer Sciences
The urea-selective catalytic reduction (SCR) system is one of the effective after-treatment emission reduction methods for diesel engines that comply with the emission standards. This paper presents the development of a linear parameter-varying (LPV) model for the urea-SCR system from the identified linear models. To reduce the NO$_{X}$ emissions from diesel engines, a LPV model-based supertwisting sliding mode controller with lemniscate sliding surface is designed. The closed-loop performance of the designed controller is evaluated through simulations for step change in input and disturbance in output. The controller performance is compared against the multimodel PI controller and LPV model-based supertwisting sliding …
Bagged Tree Classification Of Arrhythmia Using Wavelets For Denoising, Compression, And Feature Extraction,
2018
TÜBİTAK
Bagged Tree Classification Of Arrhythmia Using Wavelets For Denoising, Compression, And Feature Extraction, Özgür Tomak, Temel Kayikçioğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Arrhythmia, also known as dysrhythmia, is a condition involving an irregular heartbeat. A problem in the heart may cause problems in other organs, and as time passes, this will lead to more severe problems. Arrhythmia must be detected at an early stage to prevent such a problem occurring in the heart. Detection of arrhythmia from an electrocardiogram is an easy method that does not need much equipment and does not harm the patient. The purpose of this research is to find a faster and more accurate system to classify nine classes of arrhythmia. The St. Petersburg Institute of Cardiological Technics …
Performance Analysis Of Radial And Axial Flux Pmsm Based On 3d Fem Modeling,
2018
TÜBİTAK
Performance Analysis Of Radial And Axial Flux Pmsm Based On 3d Fem Modeling, Oussama Bouaziz, Imen Jaafar, Faouzi Ben Ammar
Turkish Journal of Electrical Engineering and Computer Sciences
The objective of this paper is presenting a comparative performance analysis between axial flux and radial flux permanent magnet synchronous machines (PMSMs) dedicated to a 550-W wind turbine application. The outer diameter is fixed for both structures and the modeling is carried out in 3D by means of the finite element method (FEM) using the Multiphysics program ANSYS. The performances of the axial flux and radial flux machines for the same output power and at the same rotor speed are evaluated by comparing their efficiency regarding the material consumption of the active parts and eventually predicting their costs. The obtained …
A Novel Dtc-Svm Approach For Two Parallel-Connected Induction Motors Fed By Matrix Converter,
2018
TÜBİTAK
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 …
Model Predictive Control Of A Dual Induction Motor Drive Fed By A Single Voltage Source Inverter,
2018
TÜBİTAK
Model Predictive Control Of A Dual Induction Motor Drive Fed By A Single Voltage Source Inverter, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain
Turkish Journal of Electrical Engineering and Computer Sciences
In dual induction motor control applications, averaging of controlled variables, mean circuit models, or master/slave strategies are used, which lead to unbalanced and unstable operation of the overall drive system. An improved finite control set predictive torque control (FCS-PTC) method is proposed for the parallel operation of two induction motors. The optimization cost function of the controller is shown to meet multiple objectives simultaneously, eliminating the use of averaging techniques and without leading to unbalanced conditions. The simulation results are compared with direct torque control (DTC) for dual induction motors. As compared to DTC, model predictive control shows low torque …
Özyeğin Biopsy Robot: System Integration Architecture And Motion Compensation Of A Moving Target,
2018
TÜBİTAK
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 …
Diagnosis Of Reverse Osmosis Desalination Water System Using Bond Graph Approach,
2018
TÜBİTAK
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 …
Implementing Universal Dependency, Morphology, And Multiword Expression Annotation Standards For Turkish Language Processing,
2018
TÜBİTAK
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 …
Forecasting The Baltic Dry Index By Using An Artificial Neural Network Approach,
2018
TÜBİTAK
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 …
Anomaly Detection Through Keystroke And Tap Dynamics Implemented Via Machine Learning Algorithms,
2018
TÜBİTAK
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 …
Reliable Data Gathering In The Internet Of Things Using Artificial Bee Colony,
2018
TÜBİTAK
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, …
Compact Microstrip Lowpass Filter With Ultrasharp Response Using A Square-Loaded Modified T-Shaped Resonator,
2018
TÜBİTAK
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 …
Solving A Combined Economic Emission Dispatch Problem Using Adaptive Wind Driven Optimization,
2018
TÜBİTAK
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 …
A Generalized Detection System To Detect Distributed Denial Of Service Attacks And Flash Events For Information Theory Metrics,
2018
TÜBİTAK
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. …
A Novel Model For Minimizing Unnecessary Handover In Heterogeneous Networks,
2018
TÜBİTAK
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 …
A Model Of Qos Differentiation Burst Assembly With Padding For Improving The Performance Of Obs Networks,
2018
TÜBİTAK
A Model Of Qos Differentiation Burst Assembly With Padding For Improving The Performance Of Obs Networks, Viet Minh Nhat Vo, Van Hoa Le, Hoang Son Nguyen, Manh Thanh Le
Turkish Journal of Electrical Engineering and Computer Sciences
Burst assembly is an operation at the ingress node of optical burst switching (OBS) networks that aggregates incoming packets from various access networks into larger carriers, called bursts. Depending on the density of incoming packets and the preset time or length thresholds, the completed bursts may have various lengths, but they must be at least equal to a minimum value ($B_{\min})$ to facilitate the switching in existing physical optical switches. If a completed burst is smaller than $B_{\min}$, it should be padded by padded bytes and it results in bandwidth utilization inefficiency. One solution to the problem is increasing the …
Threshold-Based Distributed Ddos Attack Detection In Isp Networks,
2018
TÜBİTAK
Threshold-Based Distributed Ddos Attack Detection In Isp Networks, Karanbir Singh, Kanwalvir Singh Dhindsa, Bharat Bhushan
Turkish Journal of Electrical Engineering and Computer Sciences
The purpose of this paper is to propose a more efficient and accurate distributed denial of service (DDoS) attack detection mechanism that detects DDoS attacks by monitoring the incoming traffic on the edge routers of ISP networks. It can be implemented as a module or agent function on the machine that is responsible for processing router traffic. The detection algorithm works by monitoring the traffic passing through the edge routers and identifying the occurrence of DDoS attacks or flash events. The algorithm calculates different values like the normalized router entropy, packet rate, and entropy rate and compares them against the …
Lorenz-Like System Design Using Cellular Neural Networks,
2018
TÜBİTAK
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.
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 …
