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2018

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Articles 8731 - 8760 of 8951

Full-Text Articles in Engineering

Composite Vector Quantization For Optimizing Antenna Locations, Zekeri̇ya Uykan, Riku Jantti Jan 2018

Composite Vector Quantization For Optimizing Antenna Locations, Zekeri̇ya Uykan, Riku Jantti

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we study the location optimization problem of remote antenna units (RAUs) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (CVQ) algorithm that consists of unsupervised and supervised terms for RAU location optimization. We show that the CVQ can be used i) to minimize an \textit{upper bound} to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged \textit{effective} \textit{SNR}. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (SDC) as a special case. Computer simulations confirm the findings and suggest that the proposed …

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Compact Local Gabor Directional Number Pattern For Facial Expression Recognition, Zhengyan Zhang, Guanming Lu, Jingjie Yan, Haibo Li, Ning Sun, Xia Li Jan 2018

Compact Local Gabor Directional Number Pattern For Facial Expression Recognition, Zhengyan Zhang, Guanming Lu, Jingjie Yan, Haibo Li, Ning Sun, Xia Li

Turkish Journal of Electrical Engineering and Computer Sciences

This paper explores a novel method to represent face images for facial expression recognition; it is named compact local Gabor directional number pattern (CLGDNP). By convolving the face images with Gabor filters, we encode the magnitude and phase response images in each scale, and calculate the histograms in several nonoverlapping regions of each encoded image. Finally, we obtain two spatial histogram sequences by the aid of the mean pooling technology and concatenate them to form the facial descriptor. Moreover, for evaluating the performance of the proposed method, we employ a support vector machine to conduct some extensive classification experiments on …

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Ab Initio Study Of The Structural, Electronic, And Magnetic Properties Of Co$_{2}$Fega And Co$_{2}$Fesi And Their Future Contribution To The Building Of Quantum Devices, Abdallah Oumsalem, Yamina Bourezig, Zakia Nabi, Badra Bouabdallah Jan 2018

Ab Initio Study Of The Structural, Electronic, And Magnetic Properties Of Co$_{2}$Fega And Co$_{2}$Fesi And Their Future Contribution To The Building Of Quantum Devices, Abdallah Oumsalem, Yamina Bourezig, Zakia Nabi, Badra Bouabdallah

Turkish Journal of Electrical Engineering and Computer Sciences

How small can an electronic device be and still function? How many atoms are needed for such device? At what point will the semiconductor fabrication technology be unable to construct anything smaller? These are common questions asked by researchers, and the answers indicate the short-term limitations on the use of semiconductor technology. When we reach these limitations, we can propose two methods to solve these problems: first, we could continue using semiconductor technology, alongside the development of new theories and techniques to counter quantum effects caused by the miniaturization of electronic devices like transistors and microprocessors. Second, we could exploit …

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Digital Image Copy-Move Forgery Detection Based On Discrete Fractional Wavelet Transform, Amanjot Kaur Lamba, Neeru Jindal, Sanjay Sharma Jan 2018

Digital Image Copy-Move Forgery Detection Based On Discrete Fractional Wavelet Transform, Amanjot Kaur Lamba, Neeru Jindal, Sanjay Sharma

Turkish Journal of Electrical Engineering and Computer Sciences

With the advancement of sophisticated cameras and image editing software tools, digital image tampering techniques are frequently used without leaving visual cues behind. Digital image copy-move forgery is a kind of image manipulation that involves copying and pasting of a certain section (or sections) within the same digital image. Generally, this is done with false intentions of hiding important information or providing false information in an image. In view of this, the focus of the present paper is to propose a discrete fractional wavelet transform-based scheme for identification of duplicated regions in the image. The test image is split into …

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Dynamic Simulation Of The Cad Model In Simmechanics With Multiple Uses, Jiri Zátopek, Zdenek Ú?Ední?Ek, José Machado, João Sousa Jan 2018

Dynamic Simulation Of The Cad Model In Simmechanics With Multiple Uses, Jiri Zátopek, Zdenek Ú?Ední?Ek, José Machado, João Sousa

Turkish Journal of Electrical Engineering and Computer Sciences

When designing a mechatronic system, several steps are taken into account. One of the main steps is the design of a CAD model representing the physical part of the system, and another major point is the development of the mathematical model necessary for the respective controller design. This paper combines both design steps and shows the advantages of using this approach. First, a CAD model is created considering the kinematic and dynamic behavior of the system as well as respective material properties. This CAD model is, in parallel, used for both purposes: as the main basis for developing a mathematical …

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Gradient Domain Photomontage Via Interactive Object Selection, Beki̇r Di̇zdaroğlu Jan 2018

Gradient Domain Photomontage Via Interactive Object Selection, Beki̇r Di̇zdaroğlu

Turkish Journal of Electrical Engineering and Computer Sciences

One of the most critical steps in photomontage is marking an object that is to be copied from a source image to a target image efficiently. Some unexpected and unwanted effects such as bleeding usually occur on the resulting image if the object is roughly marked, copied, and then pasted to the target region, even when using the Poisson equation approach. Moreover, original color information for the pasted object cannot be preserved, and color values for the boundary pixels of the pasted object may change and/or blurriness may occur when using some methods described in the literature. The proposed methods …

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Will It Pass? Predicting The Outcome Of A Source Code Review, Çağdaş Evren Gerede, Zeki̇ Mazan Jan 2018

Will It Pass? Predicting The Outcome Of A Source Code Review, Çağdaş Evren Gerede, Zeki̇ Mazan

Turkish Journal of Electrical Engineering and Computer Sciences

It has been observed that allowing source code changes to be made only after source code reviews has a positive impact on the quality and lifetime of the resulting software. In some cases, code review processes take quite a long time and this negatively affects software development costs and employee job satisfaction. Establishing mechanisms that predict what kind of feedback reviewers will provide and what revisions they will ask for can reduce the number of times this problem occurs. Thanks to such mechanisms, developers can improve the maturity of their code change requests before the review process starts. In this …

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Gait Pattern Discrimination Of Als Patients Using Classification Methods, Süleyman Bi̇lgi̇n, Zahi̇de Eli̇f Akin Jan 2018

Gait Pattern Discrimination Of Als Patients Using Classification Methods, Süleyman Bi̇lgi̇n, Zahi̇de Eli̇f Akin

Turkish Journal of Electrical Engineering and Computer Sciences

Amyotrophic lateral sclerosis (ALS) is a mortal and idiopathic neurodegenerative disturbance of the human motor system. The disturbances of locomotion due to neurodegenerative diseases (NDDs) consisting of ALS, Parkinson disease (PD), and Huntington disease (HD) cause some abnormal fluctuations in gait signals. The investigation into gait patterns of NDDs provides significant information in order to develop new biomedical diagnosis devices. The main objective of this study is to evaluate the best discrimination method of ALS among control subjects (Co.), PD patients, and HD patients. The D2, D4, D5, and D6 detailed components, which were determined as critical features extracted from …

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Two-Stage Feature Selection Using Ranking Self-Adaptive Differential Evolution Algorithm For Recognition Of Acceleration Activity, Muhammad Noorazlan Shah Zainudin, Md Nasir Bin Sulaiman, Norwati Mustapha, Thinagaran Perumal, Raihani Mohamed Jan 2018

Two-Stage Feature Selection Using Ranking Self-Adaptive Differential Evolution Algorithm For Recognition Of Acceleration Activity, Muhammad Noorazlan Shah Zainudin, Md Nasir Bin Sulaiman, Norwati Mustapha, Thinagaran Perumal, Raihani Mohamed

Turkish Journal of Electrical Engineering and Computer Sciences

Widespread research on activity recognition is becoming an imperative topic for improving the quality of human health. The fast development of sensing technology has become a fundamental platform for researchers to implement a system that could fulfill human needs. Due to privacy interests and low cost, wearable sensing technology is used in numerous physical activity monitoring and recognition systems. While these systems have proved to be successful, it is crucial to pay attention to the less relevant features to be classified. In such circumstances, it might happen that some features are less meaningful for describing the activity. Less complex and …

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A Modeling And Simulation Study About Co$_{2}$ Amount With Web-Based Indoor Air Quality Monitoring, Nesi̇be Yalçin, Deni̇z Balta, Ahmet Özmen Jan 2018

A Modeling And Simulation Study About Co$_{2}$ Amount With Web-Based Indoor Air Quality Monitoring, Nesi̇be Yalçin, Deni̇z Balta, Ahmet Özmen

Turkish Journal of Electrical Engineering and Computer Sciences

Human breath causes indoor air quality (IAQ) to get worse in overcrowded places such as schools, hospitals, and offices where people spend most of their time, and it is rarely felt. For a healthy and comfortable living environment, pollutant gases must also be monitored in addition to temperature and humidity control. In this respect, carbon dioxide (CO$_{2})$ is considered as one of the main indoor air pollutants to determine ventilation requirements. In this study, a mathematical model and simulator software have been developed to predict CO$_{2}$ concentrations under different indoor conditions and to visualize the predicted results that come from …

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High-Speed Data Deduplication Using Parallelized Cuckoo Hashing, Jane Rubel Angelina Jeyaraj, Sundarakantham Kambaraj, Velmurugan Dharmarajan Jan 2018

High-Speed Data Deduplication Using Parallelized Cuckoo Hashing, Jane Rubel Angelina Jeyaraj, Sundarakantham Kambaraj, Velmurugan Dharmarajan

Turkish Journal of Electrical Engineering and Computer Sciences

Data deduplication is a capacity optimization technology used in backup systems for identifying and storing the nonredundant data blocks. The CPU intensive tasks involved in a hash-based deduplication system remain as challenges in improving the performance of the system. In this paper, we propose a parallel variant of the standard cuckoo hashing that enables the hashing technique to be performed in parallel. The CPU intensive tasks of fingerprint insertion and lookup operations are performed in parallel and distributed among the nodes of the deduplication cluster. Furthermore, the uniform handling of the blocks by the cluster nodes involved in the process …

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Hardware Trojan Detection And Localization Based On Local Detectors, Amin Bazzazi, Mohammad Taghi Manzuri Shalmani, Ali Mohammad Afshin Hemmatyar Jan 2018

Hardware Trojan Detection And Localization Based On Local Detectors, Amin Bazzazi, Mohammad Taghi Manzuri Shalmani, Ali Mohammad Afshin Hemmatyar

Turkish Journal of Electrical Engineering and Computer Sciences

Hardware Trojans are one of the serious threats with detrimental, irreparable effects on the functionality, security, and performance of digital integrated circuits. It is difficult to detect Trojans because of their diversity in size and performance. While the majority of current methods focus on Trojan detection during chip testing, run-time techniques can be employed to gain unique advantages. This paper proposes a method based on the online scalable detection technique, which eliminates the need for a reference chip. Involving local detectors, this technique assesses the variations in the logical values of each node to find out whether there are Trojans. …

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Analyzing Methods Of Network Topologies Based On Chordal Rings, Damian Ledzinski, Sandra Smigiel, Lukasz Zabludowski Jan 2018

Analyzing Methods Of Network Topologies Based On Chordal Rings, Damian Ledzinski, Sandra Smigiel, Lukasz Zabludowski

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a methodology for the transmission properties research of networks patterned according to the third-degree chordal graphs. When designing and analyzing ICT systems, it is vital to consider the topology of network components. The telecommunication network structure can be described by a graph. Computing modes or specialized computers are the vertexes and the edges are bidirectional, independent transmission channels that represent the connected nodes. The algorithm is potentially useful for the determination of the impact of diameter and an average path length of the chordal rings on the properties of the transmission network. It is also useful for …

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Virtual Force-Based Intelligent Clustering For Energy-Efficient Routing In Mobile Wireless Sensor Networks, Selvi Munuswamy, Jothi Muneeswari Saravanakumar, Ganapathy Sannasi, Khanna Nehemiah Harichandran, Kannan Arputharaj Jan 2018

Virtual Force-Based Intelligent Clustering For Energy-Efficient Routing In Mobile Wireless Sensor Networks, Selvi Munuswamy, Jothi Muneeswari Saravanakumar, Ganapathy Sannasi, Khanna Nehemiah Harichandran, Kannan Arputharaj

Turkish Journal of Electrical Engineering and Computer Sciences

A mobile wireless sensor network (MWSN) consists of many sensor nodes, which can move from one position to another and gather data from the environment, and such nodes are coordinated with the support of a sink node. In recent years, the mobility behavior of sensor nodes present in wireless sensor networks is used to form effective clustering and to perform cluster-based routing. Virtual force is an important phenomenon in sensor nodes, which is used to model the mobility behavior. Production rules that use spatiotemporal constraints are able to make more accurate decisions on mobility speed, mobility area, and the required …

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Experimental Realization Of A Multi-Input Buck--Boost Dc--Dc Converter, Kushal Kanhav, Madhuri Chaudhari Jan 2018

Experimental Realization Of A Multi-Input Buck--Boost Dc--Dc Converter, Kushal Kanhav, Madhuri Chaudhari

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, steady and dynamic performance of a multi-input buck--boost DC--DC converter is presented. The converter has the ability to supply energy from storage and renewable energy sources individually to the load. It maintains a constant output voltage under various transient conditions of load as well as source. It has the capability to operate in buck, boost, and buck--boost modes of operation. The mathematical model of the converter is developed, which is further used to design controllers for the converter. A laboratory prototype is developed for experimental realization of the converter. The analysis, design, simulation, and experimental results of …

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Frequency Equivalent Circuits For The On And Off State Of An Optically Triggered Switch Based On A Pin Photodiode, Ivan Olaf Hernandez-Fuentes, Carlos Villa-Angulo, Jose Manuel Ramirez-Zarate, Raul Rascon-Carmona, Rosa Citalli Anguiano-Cota Jan 2018

Frequency Equivalent Circuits For The On And Off State Of An Optically Triggered Switch Based On A Pin Photodiode, Ivan Olaf Hernandez-Fuentes, Carlos Villa-Angulo, Jose Manuel Ramirez-Zarate, Raul Rascon-Carmona, Rosa Citalli Anguiano-Cota

Turkish Journal of Electrical Engineering and Computer Sciences

In this work we have developed equivalent circuit models for the frequency response of an optically triggered switch based on a positive-intrinsic-negative photodiode (PIN-PD) for the On state (light applied to the PIN-PD) and the Off state (without applying light to the PIN-PD). From measurements it was found the frequency response in Off state behaves as a high-pass filter whereas in the On state as a low-pass filter; this means that depending on the input signal frequency there could be an approach or even an overlap between the output amplitude in the On and in the Off state. The developed …

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Probabilistic Dynamic Security Assessment Of Large Power Systems Using Machine Learning Algorithms, Sevda Jafarzadeh, Veysel Murat İstemi̇han Genç Jan 2018

Probabilistic Dynamic Security Assessment Of Large Power Systems Using Machine Learning Algorithms, Sevda Jafarzadeh, Veysel Murat İstemi̇han Genç

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 …

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New Approach In Two-Area Interconnected Agc Including Various Renewable Energy Sources Using Pso, Prasun Sanki, Mousumi Basu Jan 2018

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 …

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Higher Order Sliding Mode Controller For Urea-Scr System, Palanikumar Gurusamy, Uma Gandhi, Umapathy Mangalanathan, Arunshankar Jayabalan Jan 2018

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 …

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The Application Of Analytical Mechanics In A Multimachine Power System, Zhijie Wang, Zhiyuan Liu, Jie Wang, Xiuchen Jiang, Sanming Liu, Yifang Liu, Gehao Sheng, Tianyu Liu Jan 2018

The Application Of Analytical Mechanics In A Multimachine Power System, Zhijie Wang, Zhiyuan Liu, Jie Wang, Xiuchen Jiang, Sanming Liu, Yifang Liu, Gehao Sheng, Tianyu Liu

Turkish Journal of Electrical Engineering and Computer Sciences

Analytical mechanics methods play an important role in determining the energy function and Hamilton realization of a system. In this paper, the Hamilton function of the system is obtained directly from the system differential equation by means of analytical mechanics. In addition, the system Hamiltonization process requires that the system must be even order, and the commonly used generator model is a single-axis third-order model. For this reason, the odd-order power system model is extended to an even-order system. The Hamilton function of the system is deduced with coordinate transformation and the generalized force. Then the standard form of Hamilton …

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Conception And Control Of A Wtgs System Using A Novel Control Technique Based On Mpc-Dpc-Mvf With A Switch Optimization Process, Mansour Madaci, Djallel Kerdoun Jan 2018

Conception And Control Of A Wtgs System Using A Novel Control Technique Based On Mpc-Dpc-Mvf With A Switch Optimization Process, Mansour Madaci, Djallel Kerdoun

Turkish Journal of Electrical Engineering and Computer Sciences

The work proposed through this paper presents a novel technique applied for the control of a wind turbine generation system (WTGS) prototype. A model predictive control combined with a direct power control technique (MPC-DPC) based on SVM control and a novel switching cycle sequence pattern for thermal switch losses reduction have been adopted. The novel developed direct power control (DPC) scheme based on a multivariable filter (MVF) topology for power estimation process has been illustrated. The control of the converter system is adopted through a predictive control strategy to achieve a complete and an instantaneous control over the active and …

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Performance Analysis Of Radial And Axial Flux Pmsm Based On 3d Fem Modeling, Oussama Bouaziz, Imen Jaafar, Faouzi Ben Ammar Jan 2018

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 …

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High-Power Density Switched Reluctance Machine Development For High-Speed Spindle Applications, Yusuf Yasa, Yilmaz Sözer, Muhammet Gari̇p Jan 2018

High-Power Density Switched Reluctance Machine Development For High-Speed Spindle Applications, Yusuf Yasa, Yilmaz Sözer, Muhammet Gari̇p

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a high-speed switched reluctance machine (HS-SRM) with cobalt-iron lamination material is proposed for spindle motors, which are used in computer numerical control machines. Wide torque-speed range, high power density, high efficiency, and low cost are the crucial issues in spindle applications. Three types of electric machine candidates, the permanent magnet synchronous machine (PMSM), induction machine (IM), and switched reluctance machine (SRM), are compared with their outstanding features. The SRM spindle motor will offer a more robust, reliable, compact, and cost-effective solution compared to the IM or PMSM spindle applications. Moreover, advancement on cobalt-iron laminations gives a chance …

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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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