Computer Engineering Commons^™

Novel Cost And Space Efficient Range Of Motion And Gait Analysis Systems, Rutvik Bharatkumar Patel

Browse all Theses and Dissertations

In this thesis, we have explored the use of the latest motion tracking technologies, as evident by Microsoft Xbox Kinect’s motion tracking capabilities, in combination with 3D digital human modeling and animation, multi-modality image capturing and processing, and fusion, to design a new generation of low-cost range of motion and gait analysis solutions that overcome the limitation of existing tools. The proposed solutions and our prototype systems have demonstrated accurate measurements and reliable analysis outcome compared to current clinic practices, with significantly reduced complexity and cost. Furthermore, it eliminates the need for expensive effort for pre- and post- processing of …

Removal Of Impulse Noise In Digital Images With Na\"Ive Bayes Classifier Method, Cafer Budak, Mustafa Türk, Abdullah Toprak

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Application Of A Time Delay Neural Network For Predicting Positive And Negative Links In Social Networks, Saghar Babakhanbak, Kaveh Kavousi, Fardad Farokhi

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Brain Tumor Detection Using Monomodal Intensity Based Medical Image Registration And Matlab, Emrah Irmak, Ergun Erçelebi̇, Ahmet Hani̇fi̇ Ertaş

Turkish Journal of Electrical Engineering and Computer Sciences

digital image processing. Using suitable computer programming techniques and transformation between two images, a new much more informative image can be found. In this paper, three important and basic medical image registration (MIR) methods, namely MIR by maximization of mutual information, MIR using cross correlation (Fourier transform approach), and MIR by minimization of similarity metric, were proposed and accordingly two comprehensive applications were performed using MIR by minimization of the similarity metric, which uses the sum of the squared differences metric as a metric and the regular step gradient descent optimizer as an optimizer. What is more, MR images of …

Fuzzy Logic Based Voltage Control Scheme For Improvement In Dynamic Response Of The Class D Inverter Based High Frequency Induction Heating System, Booma Nagarajan, Rama Reddy Sathi, Pradeep Vishnuram

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Design Of Compact Octagonal Slotted Hexagonal And Rectangular Shaped Monopole Antennas For Dual/Uwb Applications, Praveen Naidu Vummadisetty, Raj Kumar

Turkish Journal of Electrical Engineering and Computer Sciences

applications are proposed in this paper. In both antennas, the slot in the ground plane is of octagonal shape, while the patch is rectangular in one of the antennas and hexagonal in the other. Thin metallic stubs of different lengths are added to the ground plane and protrude into the slot. These stubs help to improve the impedance matching over a broader bandwidth. The antennas are very compact in size and designed on low-cost FR4 substrate. The measured impedance bandwidths (S$_{11}

Sensorless Field Oriented Control Of Nonsinusoidal Flux-Distribution Permanent Magnet Synchronous Motor With A Fem Based Ann Observer, Eyyüp Öksüztepe, Zeki̇ Omaç, Mehmet Polat, Hakan Çeli̇k, Ahmet Hakan Selçuk, Hasan Kürüm

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Iris And Eye Corner Detection By Processing Internal Webcam Images, Bülent Turan, Hali̇l İbrahi̇m Eski̇kurt

Turkish Journal of Electrical Engineering and Computer Sciences

the eye regions of laptop users. To achieve this, the iris and eye corners are detected by processing the images captured by the standard internal webcam of a laptop. In addition, an artificial neural network (ANN) is used for determining the eye region. Hereby, the iris and eye corners can be detected in the determined eye region. In the study, 107 user images are captured by using a laptop's internal camera under different light intensities, environments, viewpoints, and positions. These images are used for the training of the ANN. Two different methods are used for the iris detection. In the …

Optimal Dispatchable Dg Allocation In A Distribution Network Considering Load Growth With A Mixed-Pso Algorithm, Peyman Karimyan, Behrooz Vahidi, Mehrdad Abedi, Seyed Mohammad Ahadi

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Advanced~Neural Network Receiver Design~To Combat Multiple Channel~Impairments, Mürsel Önder, Aydin Akan, Hakan Doğan

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Quantitative Risk Associated With Intermittent Wind Generation, Mohamed Shaaban, Mohd. Dzulhafizi Usman

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Protection Of A Multiterminal Dc Compact Node Feeding Electric Vehicles On Electric Railway Systems, Secondary Distribution Networks, And Pv Systems, Jesus Casa Hernandez, Francisco Sanchez Sutil, Pedro Gomez Vidal

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Bayesian Compressive Sensing Framework For Spectrum Reconstruction In Rayleigh Fading Channels, Nadia Iqbal, Asad Mahmood, Sajjad Hussain, Abdul Ghafoor

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Analyzing The Mutual Authenticated Session Key In Ip Multimedia Server-Client Systems For 4g Networks, Bakkiam David Deebak, Rajappa Muthaiah, Karuppuswamy Thenmozhi, Pitchai Iyer Swaminathan

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Design Of Low Power Cmos Lc Vco For Direct Conversion Transceiver, Manjula Sankararaju, Selvathi Dharmar

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Novel Dynamic Partial Reconfiguration Implementations Of The Support Vector Machine Classifier On Fpga, Hanaa Hussain, Khaled Benkrid, Hüseyi̇n Şeker

Turkish Journal of Electrical Engineering and Computer Sciences

The support vector machine (SVM) is one of the highly powerful classifiers that have been shown to be capable of dealing with high-dimensional data. However, its complexity increases requirements of computational power. Recent technologies including the postgenome data of high-dimensional nature add further complexity to the construction of SVM classifiers. In order to overcome this problem, hardware implementations of the SVM classifier have been proposed to benefit from parallelism to accelerate the SVM. On the other hand, those implementations offer limited flexibility in terms of changing parameters and require the reconfiguration of the whole device. The latter interrupts the operation …

Tourism Demand Modelling And Forecasting Using Data Mining Techniques In Multivariate Time Series: A Case Study In Turkey, Selçuk Cankurt, Abdülhami̇t Subaşi

Turkish Journal of Electrical Engineering and Computer Sciences

In this study multiple linear regression, multilayer perceptron (MLP) regression, and support vector regression (SVR) are used to make multivariate tourism forecasting for Turkey. This paper is a comparative study of data mining techniques based on multivariate regression modelling with monthly data points to forecast tourism demand; it focuses on Turkey. Both MLP and SVR methods are widely employed in the variety forecasting problems. Most of the previous research on tourism forecasting used univariate time series or a limited number of variables with mostly yearly or quarterly, and rarely monthly frequencies. However, the application of data mining techniques for multivariate …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Energy-Aware Stochastic Scheduling Model With Precedence Constraints On Dvfs-Enabled Processors, Mohammad Sajid, Zahid Raza

Turkish Journal of Electrical Engineering and Computer Sciences

The stochastic scheduling of precedence-constrained jobs on a heterogeneous processor is a challenging problem that requires solutions with one or more optimized QoS parameters. In this work, an energy-aware stochastic algorithm is proposed to schedule the batch of precedence-constrained jobs on heterogeneous DVFS-enabled processors with the objective of optimizing turnaround time and energy consumption. The processing time of tasks in all jobs and their precedence-constraint times are governed by independent probability distributions. The performance of the proposed stochastic algorithm is compared with SHEFT and ECS based on randomly generated batches of different sizes. The experimental study reveals that the proposed …