Computer Engineering Commons^™

Energy-Efficient Mobile Cluster-Head Data Collection Model For Wireless Sensor Networks, Nidhi Gautam, Sanjeev Sofat, Renu Vig

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks have grown from homogeneous network architecture to heterogeneous networks for the improvement of network efficiency and lifetime. This paper exhibits a mobile cluster-head data collection (MCHDC) model for heterogeneous wireless networks. The MCHDC model illustrates the mobility pattern of mobile cluster-head nodes in a controlled environment with uniform and nonuniform deployment of mobile elements in the area of observation. It focuses on the threshold velocity for movement of mobile elements in the network area. In this paper the effects of data sending rate, network area, sensor node density, and cluster-head node density on energy efficiency of the …

Reduction Of Torque Ripple In Induction Motor By Artificial Neural Multinetworks, Fati̇h Korkmaz, İsmai̇l Topaloğlu, Hayati̇ Mamur, Murat Ari, İlhan Tarimer

Turkish Journal of Electrical Engineering and Computer Sciences

Direct torque control is used in the high performance control of induction motors. The most frequently faced problem of it is high torque ripples. In this study, a new approach based on artificial neural multinetworks is presented to overcome the problem. Two different artificial neural networks were suggested instead of vector selection and sector determination processes in the conventional direct torque control method. The conventional and the proposed control methods were evaluated on an induction motor through an experimental set. It was observed that the speed and torque responses of the proposed method were better than those of the conventional …

Modeling And Performance Optimization Of Photovoltaic And Thermal Collector Hybrid System, Di̇lşad Engi̇n, Meti̇n Çolak

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, the hybrid photovoltaic/thermal collector (PV/T) system's electrical and thermal efficiency was examined by stating a mathematical model and developing a prototype of the system. To enhance the electrical efficiency, the cell temperature of the PV module was decreased with cooling and the heated fluid could be used for low heating applications. For this purpose, a PV/T system was modeled and constructed using a thermal collector placed beneath the photovoltaic panel where the excess heat and solar radiation through the transparent PV module was the input of the thermal collector. A transparent solar module was used in order …

Common-Mode Emi Evaluation Of Forward Converter With Various Core-Reset Schemes, Mohammad Rouhollah Yazdani, Nahid Amini Filabadi

Turkish Journal of Electrical Engineering and Computer Sciences

In switching power converters, electromagnetic emissions can interfere with the normal operation of the converter or other adjacent systems. Among various power converters, forward converters are widely used at low and medium powers that need a transformer core-reset scheme. In this paper, a prediction procedure for conducted common-mode EMI of a single-switch forward converter is presented, and common-mode EMI levels are predicted considering heat-sink parasitic capacitors and main PCB parasitic elements. The accuracy of prediction results is examined via experimental results. In addition, effects of conventional passive core-reset schemes on the conducted EMI are evaluated via experimental results. Along with …

Intensity Exposure-Based Bi-Histogram Equalization For Image Enhancement, Tang Jing Rui, Nor Ashidi Mat Isa

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we present a study of the usage of intensity exposure in histogram segmentation and its performance in histogram equalization. Two techniques are proposed: the mean-based bi-histogram equalization plateau limit (mean-BHEPL) or median-based BHEPL (median-BHEPL) and adaptive bi-histogram equalization algorithm (ABHE). Both techniques initially divide the input histogram into two subhistograms through a threshold value computed from the intensity exposure of the image. Histogram clipping for mean-BHEPL and median-BHEPL is then performed on these subhistograms using the mean and median values, respectively. Conventional histogram equalization is also implemented on each clipped subhistogram. The second proposed technique, ABHE, applies …

Pure Fuzzy Hall Effect Sensors For Permanent Magnet Synchronous Motor, İbrahi̇m Alişkan, Rüstem Yilmazel

Turkish Journal of Electrical Engineering and Computer Sciences

An investigation about Hall effect sensors' efficiency is confirmed in permanent magnet synchronous motor (PMSM) drive systems. A fuzzy control algorithm is used as an artificial intelligence controller. Large scale and low slopes are used for creating membership functions and a sensitive controller is obtained. Speed is wanted to be taken under control and a minimum error value is aimed. PMSM drive systems are established using MATLAB-Simulink/SimPower. Simulations are realized with real-time parameters in discrete mode. A fuzzy logic controller is designed by using the MATLAB/Fuzzy Logic Toolbox. A normalization technique and high resolution output of the fuzzy logic controller …

A Current-Based Simple Analog Mppt Circuit For Pv Systems, Bülent Büyükgüzel, Murat Aksoy

Turkish Journal of Electrical Engineering and Computer Sciences

A new single pilot-sensor maximum power point tracking (MPPT) system, consisting of a buck type DC/DC converter, was developed. It is controlled by an analog-based unit. The main difference between the proposed MPPT system and other systems is that the short circuit current of the pilot-PV module in our system is used to control the DC/DC converter. The circuit of the proposed system does not utilize an expensive digital signal processor nor a microcontroller; hence, the cost and the complexity of the system are reduced.

Process Time And Mppt Performance Analysis Of Cf, Lut, And Ann Control Methods For A Pmsg-Based Wind Energy Generation System, Abdulhaki̇m Karakaya, Ercüment Karakaş

Turkish Journal of Electrical Engineering and Computer Sciences

Due to environmental issues such as global warming and the greenhouse effect, there is a growing interest in renewable sources of energy. Wind energy, which is the most important of these energy sources, can potentially meet a portion of the global energy demand. Numerous studies are being conducted worldwide to determine how the maximum level of power can be obtained from wind energy. In these studies, there is a particular interest in permanent magnet synchronous generators (PMSGs). This is because PMSGs exhibit a good performance within a wide range wind speeds and can be driven directly. In this study, the …

Wireless Sensor Network-Based Extension To Knx Home Automation System, Ahmet Burak Gökbayrak, Sermi̇n Kilivan, Semavi̇ Akin, Anil Çelebi̇, Oğuzhan Urhan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a seamless wireless extension approach to a KNX-based home automation system. The system consists of gateway and switch units specifically designed for this purpose. The gateway acts as the coordinator of the wireless network and a bridge between wireless and KNX networks. Switch units can be operated by a power outlet or battery. With the proposed architecture, it is possible to extend functionality of the KNX to wireless nodes, which consume very low power when they are operated by battery. Experimental results show that a simple yet efficient wireless extension to the KNX system is possible by …

Defining A Smart Nation: The Case Of Singapore, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

Purpose - The purpose of this paper is to identify the key characteristics and propose a working definition of a smart nation.Design/methodology/approach - A case study of Singapore through an analysis of the key speeches made by senior Singapore leaders, publicly available government documents and news reports since the launch of the smart nation initiative in December 2014 was carried out.Findings - Just like smart cities, the idea of a smart nation is an evolving concept. However, there are some emerging characteristics that define a smart nation.Research limitations/implications - The paper provides an initial understanding of the key characteristics and …

Autonomous Navigation With Obstacle Avoidance For Unmanned Aircraft Systems Using Milp, James A. Devens

Theses and Dissertations

Autonomous coordination among multiple aerial vehicles to ensure a collision free airspace is a critical aspect of today’s airspace. With the rise of Unmanned Aerial Vehicles (UAVs) in the military and commercial sectors, obstacle avoidance in a densely populated airspace is necessary. This thesis investigates finding optimal or near-optimal trajectories in real-time for aircraft in complex airspaces containing a large number of obstacles. The solution for the trajectories is described as a linear program subject to mixed integer constraints, known as a Mixed Integer Linear Program (MILP). The resulting MILP problem is solved in real time using a well-known, public …

High-Performance Computing For Drought Prediction, Henry Cooney

Maseeh Summer Undergraduate Research Experience

In recent decades, there has been considerable interest in using satellite soil moisture data to examine the global water-energy cycle and manage water resources. Current satellites are limited in their sensing depth, and can only directly measure top soil layers. Using a particle filter, this data may be fused with the output of a hydrologic simulation to improve simulation results, and characterize a hydrologic system at the watershed level. However, this approach increases computational requirements dramatically, and requires rethinking to accommodate data scaling and achieve good performance.

We present a detailed performance study of several alternative implementations of the hybrid …

Emerging Adaptive Architectures For Biomolecular Computation, Matthew Fleetwood

Maseeh Summer Undergraduate Research Experience

The goal of this work is to explore applications of reservoir computing in biomolecular computation. Reservoir computing is a unique model for representing a mapping from one instance in time to a specific output. A neural network of randomly connected neurons is linked with a single output neuron or multiple output neurons. The output neurons are capable of mapping inputs to desired outputs using adaptable algorithms. This framework is investigated by using the Python programming language and object oriented design and programming. Neurons are created in programs by bundling information like input data and attributes of the network, which utilize …

Iot+Small Data: Transforming In-Store Shopping Analytics And Services, Meera Radhakrishnan, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Balan

Research Collection School Of Computing and Information Systems

We espouse a vision of small data-based immersive retail analytics, where a combination of sensor data, from personal wearable-devices and store-deployed sensors & IoT devices, is used to create real-time, individualized services for in-store shoppers. Key challenges include (a) appropriate joint mining of sensor & wearable data to capture a shopper’s product level interactions, and (b) judicious triggering of power-hungry wearable sensors (e.g., camera) to capture only relevant portions of a shopper’s in-store activities. To explore the feasibility of our vision, we conducted experiments with 5 smartwatch-wearing users who interacted with objects placed on cupboard racks in our lab (to …

Adaptive Speed Observer With Disturbance Torque Compensation For Sensorless Induction Motor Drives Using Rt-Lab, Mohan Krishna, Febin Daya

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an improved version of the extended Luenberger observer with joint estimation of rotor speed and disturbance torque. The mechanical model of the induction motor is also utilized for the estimation of disturbance torque to add to the robustness of the observer. The estimated disturbance torque is treated as a model disturbance and physically incorporated into the observer state dynamic equation. The dynamic performance and efficacy of the modified observer is tested for variations in external load and inertia coefficient in the mechanical model. The above observer model is first built offline, using MATLAB/Simulink block sets, and simulated. …

The Phononic Crystal Interface Layer Determines Slow-Wave And Pulse Broadening Effects, Li Sun, Aiming Ji, Jialing Hu, Canyan Zhu, Lijun Zhang, Jianfeng Yang, Lingfeng Mao

Turkish Journal of Electrical Engineering and Computer Sciences

The relationship among the slow-wave and echo pulse broadening effects in reflected acoustic waves and the width of the interface layer of phononic crystal has been theoretically investigated. It has been observed that not only the slow time for the reflected acoustic wave but also the echo pulse broadening reaches a saturation point as the size of the phononic crystal increases. From the viewpoint of the acoustic wave, there is an interface layer in the crystal that determines the slow-wave and the echo pulse broadening effects. The longest slow time, which is the time needed for transmitting 0.08 periods of …

A Hybrid Search Method Of Wrapper Feature Selection By Chaos Particle Swarm Optimization And Local Search, Mohammad Masoud Javidi, Nasibeh Emami

Turkish Journal of Electrical Engineering and Computer Sciences

Finding a subset of features from a large dataset is a problem that arises in many fields of study. Since the increasing number of features has extended the computational cost of a system, it is necessary to design and implement a system with the least number of features. The purpose of feature selection is to find the best subset of features from the original ones. The result of the best selection is improving the computational cost and the accuracy of the prediction. A large number of algorithms have been proposed for feature subset selection. In this paper, we propose a …

A Ring Crossover Genetic Algorithm For The Unit Commitment Problem, Syed Basit Ali Bukhari, Aftab Ahmad, Syed Auon Raza, Muhammad Noman Siddique

Turkish Journal of Electrical Engineering and Computer Sciences

The unit commitment problem (UCP) is a nonlinear, mixed-integer, constraint optimization problem and is considered a complex problem in electrical power systems. It is the combination of two interlinked subproblems, namely the generator scheduling problem and the generation allocation problem. In large systems, the UCP turns out to be increasingly complicated due to the large number of possible ON and OFF combinations of units in the power system over a scheduling time horizon. Due to the insufficiency of conventional approaches in handling large systems, numerous metaheuristic techniques are being developed for solving this problem. The genetic algorithm (GA) is one …

A Multiobjective Tuning Approach Of Power System Stabilizers Using Particle Swarm Optimization, Hilal Labdelaoui, Fares Boudjema, Djamel Boukhetala

Turkish Journal of Electrical Engineering and Computer Sciences

This work presents an optimal tuning approach of power system stabilizers (PSSs) using multiobjective particle swarm optimization. Two types of PSSs are investigated, the conventional speed-based PSS type and a dual-input PSS type that uses the accelerating power as an additional input. The tuning problem of these PSSs is formulated as a minimization problem of a vector objective function characterizing the damping and the transient performance of the closed-loop system. A 3-machine 9-bus power system example is considered, and the speed-constrained multiobjective particle swarm optimization algorithm is used to solve the optimization problem. The results show that trade-offs exist between …

Steady State Analysis Of A Three Phase Indirect Matrix Converter Fed 10 Hp, 220 V, 50 Hz Induction Machine For Efficient Energy Generation, Damian Nnadi, Crescent Omeje

Turkish Journal of Electrical Engineering and Computer Sciences

The matrix converter or pulse width modulated frequency changer, invented in the mid-1980s, is a direct power conversion device that can generate a variable voltage and frequency from a variable input source. Industrially, it is applied in adjustable speed control of induction motor drive, power quality conditioner, and traction applications. The aim of this paper is to evaluate the steady state characteristic behavior of an induction machine in terms of its speed and torque when driven by a three phase indirect matrix converter at reduced harmonics. Similarly, projecting an AC-AC matrix converter that ensures a uniform synchronization in frequency and …

An Hf/Uhf Dual Mode Rfid Transponder Antenna And Hf Range Extension Using Uhf Wireless Power Transmission, Mustafa Murat Bi̇lgi̇ç, Korkut Yeği̇n

Turkish Journal of Electrical Engineering and Computer Sciences

An HF/UHF compatible RFID transponder antenna is designed, simulated, and measured for dual band operation and HF range extension. A dual mode compatible RFID transponder antenna has the benefits of each mode and eliminates the disadvantages of single mode operation. One of the major drawbacks of UHF antennas is their poor performance when the tag is placed on or near metallic objects. To overcome this shortcoming, two-layer substrate with degenerate grounded is used and a 4-turn spiral antenna is placed on the top and bottom parts of the substrate for HF operation. The co-existence of both antennas affects standalone performances …

Electric Arc Furnace Power Quality Improvement By Applying A New Digital And Predicted-Based Tsc Control, Mehdi Torabian Esfahani, Behrooz Vahidi

Turkish Journal of Electrical Engineering and Computer Sciences

Static VAR compensators (SVC) can improve some of the power quality (PQ) indices such as voltage flicker, unbalances, and power factors in power systems if properly controlled. Different nonlinear and time-varying loads generate these parameters. One of the great nonlinear loads is the electric arc furnace (EAF), which causes waveform distortions, voltage unbalances, and fluctuations. In this paper, a new digital and prediction-based control for thyristor switched capacitors (TSCs) was proposed to compensate an actual steel industrial plant. The digital control was based on generating adequate synchronous pulses, calculating required suitable susceptance, and measuring correct reactive power. The proposed TSC …

Optimal Siting And Sizing Of Rapid Charging Station For Electric Vehicles Considering Bangi City Road Network In Malaysia, Mainul Islam, Hussain Shareef, Azah Mohamed

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, electric vehicles (EVs) have been seen as a felicitous option towards a less carbon-intensive road transport. The key issue in this system is recharging the EV batteries before they are exhausted. Thus, charging stations (CSs) should be carefully located to make sure EV users can access a CS within their driving range. Considering geographic information and traffic density, this paper proposes an optimization overture for optimal siting and sizing of a rapid CS (RCS). It aims to minimize the daily total cost (which includes the cost of substation energy loss, traveling cost of EVs to the CS, and investment, …

Fuzzy Speed Estimation In The Case Of Sensorless Induction Machine Vector Control, Mohamed Bahloul, Mansour Souissi, Mohamed Chaabane, Larbi Chrifi Alaoui, Said Drid

Turkish Journal of Electrical Engineering and Computer Sciences

This paper deals with the problem of sensorless indirect field oriented control of an induction machine. Based on the fourth-order nonlinear model, we propose a novel structure of a full-order Takagi-Sugeno (TS) adaptive observer, through which we ensure the estimation of IM states and the rotor speed, which is considered as an immeasurable premise variable. This approach satisfies global stability for all operating conditions and operates under unknown applied load torque. In this work, a TS fuzzy model is presented to approximate a nonlinear IM model in the stationary rotating reference frame. A TS adaptive observer is then described. We …

Common Spatial Pattern-Based Feature Extraction From The Best Time Segment Of Bci Data, Önder Aydemi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Feature extraction is one of the most crucial stages in the field of brain computer interface (BCI). Because of its ability to directly influence the performance of BCI systems, recent studies have generally investigated how to modify existing methods or develop novel techniques. One of the most successful and well-known methods in BCI applications is the common spatial pattern (CSP). In existing CSP-based methods, the spatial filters were extracted either by using the whole data trial or by dividing the trials into a number of overlapping/nonoverlapping time segments. In this paper, we developed a CSP-based moving window technique to obtain …

Using Magnetic Field Analysis To Evaluate The Suitability Of A Magnetic Suspension System For Lightweight Vehicles, Hazril Md Isa, Noor Hafizah Amer, Wan Nor Liza Wan Mahadi, Rahizar Ramli

Turkish Journal of Electrical Engineering and Computer Sciences

A suspension system in a vehicle acts as an isolator that isolates vibrations between the wheel tires and the vehicle body due to road irregularities. Additionally, a suspension system serves as a vehicle stabilizer that stabilizes the vehicle body during unusual driving patterns such as cornering, braking, or accelerating. A controllable suspension system has received significant attention in the automotive world in previous years since it can perform both of the aforementioned tasks without the presence of fluid damper. The study presented in this paper focuses on using magnetic flux density analysis to evaluate a number of parameters of an …

Computer Vision-Based Control Of An Autonomous Blimp, Korkut Beki̇roğlu, Mario Sznaier, Constantino Lagoa, Bahram Shafai

Turkish Journal of Electrical Engineering and Computer Sciences

The objective of this study is twofold: to approximate a model of a blimp, and to use this model to develop a setup to track a target with the blimp that is outfitted with a wireless camera and radio-controlled propellers. This article presents a powerful method to track any moving or stationary target with an unmanned aerial vehicle by combining the advantages of the proportional derivative (PD) controller, continuously adaptive mean shift (Camshift) algorithm, and pulse width modulation (PWM) method. As a result, it is demonstrated that a decent approximation of blimp behavior is sufficient when using a mathematical model …

Vector Control Of A Three-Phase Parallel Connected Two Motor Single Inverter Speed Sensorless Drive, Gunabalan Ramachandran, Subbiah Veerana, Sanjeevikumar Padmanaban

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents the performance characteristics of two induction motors of the same parameters and ratings connected in parallel and fed by a single inverter. A nature observer is employed to estimate the rotor speeds and rotor fluxes of both induction motors. It also estimates the load torques of both the motors by load torque adaptation. Under unbalanced load conditions, the speed difference between the two induction motors is reduced by considering the average and differential motor parameters and currents. Mean rotor flux is maintained constant by a rotor flux control scheme and the estimation of rotor angle is carried …

Fuzzy Based Design Of Digital Iir Filter Using Etlbo, Damanpreet Singh, Jaspreet Singh Dhillon

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a population-based robust enhanced teaching--learning-based optimization (ETLBO) algorithm with reduced computational effort and high consistency is applied to design stable digital infinite-impulse response (IIR) filters in a multiobjective framework. Furthermore, a decision-making methodology based on fuzzy set theory is applied to handle nonlinear and multimodal design problems of the IIR digital filter. The original teaching--learning-based optimization (TLBO) algorithm has been remodeled by merging the concepts of opposition-based learning and migration for the selection of good candidates and to maintain diversity, respectively. A multiobjective IIR digital filter design problem takes into consideration magnitude and phase response of the …

Determination Of The Striking Distance Of A Lightning Rod Using Finite Element Analysis, Ab Halim Abu Bakar, Alyaa Zainal Abidin, Hazlee Illias, Hazlie Mokhlis, Syahirah Abd Halim, Nor Hidayah Nor Hassan, Chia Kwang Tan

Turkish Journal of Electrical Engineering and Computer Sciences

The problems related to electromagnetic waves transmitted by lightning strikes can be studied through physical lightning models based on laboratory results. The main concern of these models is determining the striking distance between the leader tip and the lightning rod during lightning occurrences. The striking distance is a significant factor in designing the lightning protection system. However, models using finite element analysis (FEA) for this purpose are less likely to be found in the literature. Therefore, in this work, a geometry model of a lightning rod and leader was developed using available FEA software. The model was used to determine …