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Articles 2881 - 2910 of 8897

Full-Text Articles in Physical Sciences and Mathematics

Evaluating The Role Of Energy Demand Prediction And Renewable Energy Utilization On Energy Dependency Management: A Generic System Dynamics Model, Emad Rabiei Hosseinabad Jan 2018

Evaluating The Role Of Energy Demand Prediction And Renewable Energy Utilization On Energy Dependency Management: A Generic System Dynamics Model, Emad Rabiei Hosseinabad

Graduate Research Theses & Dissertations

Supplying energy has become one of the biggest concerns of developed countries due to the growing energy needs in the last decades. Security of energy supply has forced countries to rely more on energy imports from external sources, and become energy dependent to a greater extent. Utilizing available renewable energy resources has been characterized as a reliable indicator to mitigate energy dependency in countries as well as securing the supplying of energy-based needs in the future. This research explores the impact of renewable energies as trustful resources in mitigating energy imports form external sources with investigation of its viability with …

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Non-Hermitian Optics, Absar Ulhassan Jan 2018

Non-Hermitian Optics, Absar Ulhassan

Electronic Theses and Dissertations

From the viewpoint of quantum mechanics, a system must always be Hermitian since all its corresponding eigenvalues must be real. In contrast, the eigenvalues of open systems-unrestrained because of either decay or amplification-can be in general complex. Not so long ago, a certain class of non-Hermitian Hamiltonians was discovered that could have a completely real eigenvalue spectrum. This special class of Hamiltonians was found to respect the property of commutation with the parity-time (PT) operator. Translated into optics, this implies a balance between regions exhibiting gain and loss. Traditionally, loss has been perceived as a foe in optics and something …

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Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay Jan 2018

Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay

Turkish Journal of Electrical Engineering and Computer Sciences

As the use of ontologies expands, their visualization is becoming increasingly important. In this study, an ontology browser for visualizing the Trajectory Simulation ONTology (TSONT) was evaluated in terms of usability by considering its subdimensions, which are effectiveness, efficiency, and user satisfaction. The methodology employed in this study for evaluating an ontology browser is reported along with the results of the evaluation. The TSONT browser is a tree-type ontology browser created to allow developers to visualize TSONT. Six flight simulation programmers with at least one year of experience participated in the study. The participants were given usability tasks and their …

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A Noninvasive Time-Frequency-Based Approach To Estimate Cuffless Arterial Blood Pressure, Ömer Faruk Ertuğrul, Necmetti̇n Sezgi̇n Jan 2018

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 …

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Human Sleep Scoring Based On K-Nearest Neighbors, Shahnawaz Qureshi, Seppo Karrila, Sirirut Vanichayobon Jan 2018

Human Sleep Scoring Based On K-Nearest Neighbors, Shahnawaz Qureshi, Seppo Karrila, Sirirut Vanichayobon

Turkish Journal of Electrical Engineering and Computer Sciences

Human sleep is one of the essential indicators that gauge the overall health and well-being. Presently, it is common for people to face issues related to sleep. Various biomedical signals including electroencephalogram (EEG), electrooculography (EMG), and electrooculography (EOG) are utilized in the diagnosis and during the treatment of sleep disorder cases. An automatic classification to diagnose sleep problems can help in the analysis of sleep EEG data. In this current study, an effort is made to classify the sleep stages from a single EEG channel (C4-A1) based on K-nearest neighbors (K-NN) with three alternative distance metrics. The Euclidean distance is …

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A Novel Optimization Method For Solving Constrained And Unconstrained Problems: Modified Golden Sine Algorithm, Erkan Tanyildizi Jan 2018

A Novel Optimization Method For Solving Constrained And Unconstrained Problems: Modified Golden Sine Algorithm, Erkan Tanyildizi

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, the metaheuristic optimization algorithms inspired by nature and different science branches have been powerful solution methods for unconstrained, constrained, and engineering problems. Various metaheuristic optimization algorithms have been proposed and they have been applied to problems in different fields. This paper proposes a novel optimization method based on a modified version of the Golden Sine Algorithm for solving unconstrained, constrained, and engineering problems. The basic idea behind the proposed modified Golden Sine Algorithm (GoldSA-II) depends on finding the optimum solution field in search space by using the decreasing pattern of the sine function and the golden ratio. The performance …

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Fundamentals Of Neutrosophic Logic And Sets And Their Role In Artificial Intelligence (Fundamentos De La Lógica Y Los Conjuntos Neutrosóficos Y Su Papel En La Inteligencia Artificial ), Florentin Smarandache, Maykel Leyva-Vazquez Jan 2018

Fundamentals Of Neutrosophic Logic And Sets And Their Role In Artificial Intelligence (Fundamentos De La Lógica Y Los Conjuntos Neutrosóficos Y Su Papel En La Inteligencia Artificial ), Florentin Smarandache, Maykel Leyva-Vazquez

Branch Mathematics and Statistics Faculty and Staff Publications

Neutrosophy is a new branch of philosophy which studies the origin, nature and scope of neutralities. This has formed the basis for a series of mathematical theories that generalize the classical and fuzzy theories such as the neutrosophic sets and the neutrosophic logic. In the paper, the fundamental concepts related to neutrosophy and its antecedents are presented. Additionally, fundamental concepts of artificial intelligence will be defined and how neutrosophy has come to strengthen this discipline.

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Wi-Fi Finger-Printing Based Indoor Localization Using Nano-Scale Unmanned Aerial Vehicles, Appala Narasimha Raju Chekuri Jan 2018

Wi-Fi Finger-Printing Based Indoor Localization Using Nano-Scale Unmanned Aerial Vehicles, Appala Narasimha Raju Chekuri

Electronic Theses and Dissertations

Explosive growth in the number of mobile devices like smartphones, tablets, and smartwatches has escalated the demand for localization-based services, spurring development of numerous indoor localization techniques. Especially, widespread deployment of wireless LANs prompted ever increasing interests in WiFi-based indoor localization mechanisms. However, a critical shortcoming of such localization schemes is the intensive time and labor requirements for collecting and building the WiFi fingerprinting database, especially when the system needs to cover a large space. In this thesis, we propose to automate the WiFi fingerprint survey process using a group of nano-scale unmanned aerial vehicles (NAVs). The proposed system significantly …

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Application For Position And Load Reference Generation Of A Simulated Mechatronic Chain, Florentin Smarandache, V. Vladareanu, S.B. Cononovici, M. Migdalovici, H. Wang, Y. Feng Jan 2018

Application For Position And Load Reference Generation Of A Simulated Mechatronic Chain, Florentin Smarandache, V. Vladareanu, S.B. Cononovici, M. Migdalovici, H. Wang, Y. Feng

Branch Mathematics and Statistics Faculty and Staff Publications

The paper presents the position and load reference generation for a motor stand simulating a mechatronic chain, in this case a three degree of freedom robot leg. The task is accomplished using three PLC controlled motors in position as the robot joint actuators coupled with three controlled in torque, simulating the load at each simulation time-step. The paper briefly discusses the mathematical model and presents the visual interface used in the simulation, which is then to be further integrated into a virtual environment robot control application.

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Energy Slices: Benchmarking With Time Slicing, Katarina Grolinger, Hany F. Elyamany, Wilson Higashino, Miriam Am Capretz, Luke Seewald Jan 2018

Energy Slices: Benchmarking With Time Slicing, Katarina Grolinger, Hany F. Elyamany, Wilson Higashino, Miriam Am Capretz, Luke Seewald

Electrical and Computer Engineering Publications

Benchmarking makes it possible to identify low-performing buildings, establishes a baseline for measuring performance improvements, enables setting of energy conservation targets, and encourages energy savings by creating a competitive environment. Statistical approaches evaluate building energy efficiency by comparing measured energy consumption to other similar buildings typically using annual measurements. However, it is important to consider different time periods in benchmarking because of differences in their consumption patterns. For example, an office can be efficient during the night, but inefficient during operating hours due to occupants’ wasteful behavior. Moreover, benchmarking studies often use a single regression model for different building categories. …

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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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Model Predictive Control Of A Dual Induction Motor Drive Fed By A Single Voltage Source Inverter, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain Jan 2018

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 …

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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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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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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 Jan 2018

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 …

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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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Sar Image Denoising Based On Patch Ordering In Nonsubsample Shearlet Domain, Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Zhihui Zhu Jan 2018

Sar Image Denoising Based On Patch Ordering In Nonsubsample Shearlet Domain, Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Zhihui Zhu

Turkish Journal of Electrical Engineering and Computer Sciences

Synthetic aperture radar (SAR) has been extensively adopted in a variety of fields, e.g., agriculture and marine fields. In this regard, the improvement of SAR image quality has aroused a wide concern worldwide. In recent years, image processing based on local patches has been very popular and proven feasible. In this paper, a novel SAR image denoising algorithm is proposed in the NSST domain on the basis of patch ordering. First, the shearlet transform is applied to logarithmic transformation of the noisy SAR image. Second, the coefficients of the shearlet are denoised respectively by combining patch ordering and 1D filtering. …

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Novel Low-Loss Microstrip Triplexer Using Coupled Lines And Step Impedance Cells For 4g And Wimax Applications, Abbas Rezaei, Leila Noori Jan 2018

Novel Low-Loss Microstrip Triplexer Using Coupled Lines And Step Impedance Cells For 4g And Wimax Applications, Abbas Rezaei, Leila Noori

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a new microstrip triplexer with flexible resonance frequencies is designed based on the properties of coupled lines, steps, and spiral cells. It operates at 2.67 GHz for 4G LTE and at 3.1 GHz and 3.43 GHz for IEEE 802.16 WiMAX. The close resonance frequencies make it suitable for frequency division duplex applications. In order to improve insertion loss, the LC equivalent circuit of the proposed resonator is analyzed. Moreover, careful alignment of the coupled lines and step impedance structures is performed to improve the insertion and return losses so that they are 0.72/0.63/0.81 dB and 24.5/24/24.7 dB, …

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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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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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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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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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