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Full-Text Articles in Engineering

Circularly Polarized Implantable Antenna Characterization For Retinal Prosthesis Systems, Ademola Oluwaseun Kaka, Mehmet Toycan, Stuart Douglas Walker Jan 2018

Circularly Polarized Implantable Antenna Characterization For Retinal Prosthesis Systems, Ademola Oluwaseun Kaka, Mehmet Toycan, Stuart Douglas Walker

Turkish Journal of Electrical Engineering and Computer Sciences

We describe a miniaturized antenna design for retinal prosthesis applications that enhances data transfer between the implant and external camera. The circularly polarized and conformal 2.4--2.48 GHz microstrip patch antenna was simulated inside the vitreous humor and is intended for biomedical applications. Modified Hilbert and serpentine geometries were used for the proposed implant antenna design. Capacitive radiator loading offered miniaturized dimensions of 5.8 $\times $ 6.5 $\times $ 2 mm$^{3}$ (width $\times $ height $\times $ thickness mm$^{3})$. A truncated design enhanced the intrinsic circular polarization characteristics to $>$3 dB axial ratio. Polydimethylsiloxane substrate and superstrate materials were used …


A New Inset-Fed Uwb Printed Antenna With Triple 3.5/5.5/7.5-Ghz Band-Notched Characteristics, Avez Syed, Rabah Wasel Aldhaheri Jan 2018

A New Inset-Fed Uwb Printed Antenna With Triple 3.5/5.5/7.5-Ghz Band-Notched Characteristics, Avez Syed, Rabah Wasel Aldhaheri

Turkish Journal of Electrical Engineering and Computer Sciences

A novel low-profile inset-fed ultrawideband printed antenna with triple band-notched characteristics is proposed. Wide inverted U-shaped and crescent-shaped slots are used to achieve first and second notched bands in the 3.3--3.7 GHz and 5.1--5.9 GHz ranges for WiMAX and WLAN systems, respectively. Additionally, an altered ground plane with an open-ended L-shaped slot generated a third notched band in the 7.25--7.85 GHz range for downlink of X-band satellite communication systems. The center frequencies of the stop bands are adjusted by altering the parameters of corresponding slots. The antenna prototype is built on a 28 mm $\times $ 24 mm Rogers RT/duroid …


Investigating The Experimental Limits Of The Brewster's Angle Method, Can Sümer, Alp Kuştepeli̇, Mehmet Sali̇h Di̇nleyi̇ci̇ Jan 2018

Investigating The Experimental Limits Of The Brewster's Angle Method, Can Sümer, Alp Kuştepeli̇, Mehmet Sali̇h Di̇nleyi̇ci̇

Turkish Journal of Electrical Engineering and Computer Sciences

We present the method, analysis, and experimental results of the Brewster's angle method commonly used for determining the refractive indices of optical films. We show the significance of the intersection of reflectance curves, in that the necessity for substrate refractive index and film layer thickness knowledge are both eliminated. We present the conditions for the existence of the second intersection of reflectance curves and introduce a method for determining the refractive index of the substrate layer by using the angular information alone. Analytical results reveal impressive practical sensitivity and accuracy limits for the method, where the experimental results also support …


A New Method For Detecting Jittered Pri In Histogram-Based Methods, Mostafa Bagheri, Mohammad Hossein Sedaaghi Jan 2018

A New Method For Detecting Jittered Pri In Histogram-Based Methods, Mostafa Bagheri, Mohammad Hossein Sedaaghi

Turkish Journal of Electrical Engineering and Computer Sciences

Histogram-based methods are among the best methods for deinterleaving, because of their easy implementation. However, they have a basic defect when they encounter a jittered pulse repetition interval (PRI). Jittered PRI is one of the most sophisticated patterns for electronic warfare (EW) receivers. In jittered PRI, the time among successive pulses varies in a totally random manner; thus its detection is very complicated. In this paper we present a new method for extracting jittered PRI from histogram-based methods. Simulation results demonstrate excellent performance of the proposed method in normal as well as hard circumstances where a higher missing pulse rate …


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 …


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 …


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 …


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 …


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 …


Laser Printer As A Source Of Sensitive Emissions, Ireneusz Kubiak Jan 2018

Laser Printer As A Source Of Sensitive Emissions, Ireneusz Kubiak

Turkish Journal of Electrical Engineering and Computer Sciences

Each electronic (electric) device generates electromagnetic emissions during its operation. Most often these emissions are generated unintentionally and they are radiated into the surrounding space in an uncontrolled way. In the case of significant levels of these emissions, they can disturb the operation of other devices or can be used as typical radio emissions. If the nature of their changes corresponds to the processed information occurring in a form of electric signals, the mentioned emissions can be a basis for effective realization of electromagnetic infiltration processes. Most often, these emissions are classified in laboratory conditions using anechoic chambers. Inside such …


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 …


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 …


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. …


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 …


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 …


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 …


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 …


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 …


Bagged Tree Classification Of Arrhythmia Using Wavelets For Denoising, Compression, And Feature Extraction, Özgür Tomak, Temel Kayikçioğlu Jan 2018

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, 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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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, …


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 …


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 …