Computer Engineering Commons^™

Assessment Of Vehicular Transportation Quality Via Smartphones, Ahmet Alper Teci̇mer, Zi̇ya Ci̇han Tayşi̇, Ali̇ Gökhan Yavuz, Mi̇ne Eli̇f Karsligi̇l Yavuz

Turkish Journal of Electrical Engineering and Computer Sciences

Despite alternative transportation opportunities, road transportation still occupies an important part of our daily lives. Ever-advancing technological developments set high expectations of vehicular comfort and safety. Thus, it is necessary to develop systems that are able to detect and classify events related to the comfort and safety of vehicular transportation. Researchers have proposed several systems to monitor the quality of vehicular transportation. However, most of these systems are only capable of monitoring either road conditions or driving behaviors. Also, many of them are not easily applicable in real life because of special installation requirements and maintenance procedures with highly specialized …

Central Coordination Relay For Distribution Systems With Distributed Generation, Fati̇h Mehmet Nuroğlu, Ayşen Basa Arsoy

Turkish Journal of Electrical Engineering and Computer Sciences

As distributed generation resources penetrate into distribution systems, protection and service continuity are becoming major issues. A new approach for protection coordination and higher reliability of a distribution system with distributed generation is explored in this paper. The concept of central coordination relay (CCR) is developed for this purpose. After a brief introduction of the design and operating procedures of CCR, the utilization of the proposed relay on two feeders of a substation in the Kocaeli region of Turkey is simulated using DIgSILENT PowerFactory. The study results show that CCR can provide better protection coordination and improved reliability indices for …

Automatic Vehicle Classification Using Fast Neural Network And Classical Neural Network For Traffic Monitoring, Mahammad Abdul Hannan, Chew Teik Gee, Mohammad Saleh Javadi

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces an automatic vehicle classification for traffic monitoring using image processing. In this technique the fast neural network (FNN) as a primary classifier and then the classical neural network (CNN) as a final classifier are applied to achieve high classification performance. The FNN gains a useful correlation between the input and the weighted neurons using a multilayer perceptron to provide detection with a high level of accuracy. The Fourier transform is used to speed up the procedure. In the CNN, a lighting normalization method is employed to reduce the effect of variations in illumination. The combination of the …

A Comparative Study Of Two Different Fpga-Based Arrhythmia Classifier Architectures, Ahmet Turan Özdemi̇r, Kenan Danişman

Turkish Journal of Electrical Engineering and Computer Sciences

Early diagnosis of dangerous heart conditions is very important for the treatment of heart diseases and for the prevention of sudden cardiac death. Automatic electrocardiogram (ECG) arrhythmia classifiers are essential to timely diagnosis. However, most of the medical diagnosis systems proposed in the literature are software-based. This work focused on the hardware implementation of a mobile artificial neural network (ANN)-based arrhythmia classifier that is implemented on a field programmable gate array (FPGA) as a single chip solution, as an alternative to various software models of ANNs. Due to the parallel nature of ANNs, hardware implementation of ANNs needs a large …

A Real-Time American Sign Language Word Recognition System Based On Neural Networks And A Probabilistic Model, Neelesh Sarawate, Ming Chan. Leu, Cemi̇l Öz

Turkish Journal of Electrical Engineering and Computer Sciences

The development of an American Sign Language (ASL) word recognition system based on neural networks and a probabilistic model is presented. We use a CyberGlove and a Flock of Birds motion tracker to extract the gesture data. The finger joint angle data obtained from the sensory glove defines the handshape while the data from the motion tracker describes the trajectory of the hand movement. The four gesture features, namely handshape, hand position, hand orientation, and hand movement, are recognized using different functions that include backpropagation neural networks. The sequence of these features is used to generate a specific sign or …

Modeling,Metrics, And Optimal Design For Solar Energy-Powered Base Station System, Heng Wang, Hongjia Li, Chaowei Tang, Lingbao Ye, Xin Chen, Hui Tang, Song Ci

Department of Electrical and Computer Engineering: Faculty Publications

Using renewable energy system in powering cellular base stations (BSs) has been widely accepted as a promising avenue to reduce and optimize energy consumption and corresponding carbon footprints and operational expenditures for 4G and beyond cellular communications. However, how to design a reliable and economical renewable energy powering (REPing), while guaranteeing communication reliability, renewable energy utilization, and system durability, is still a great challenge. Motivated by this challenge, we firstly model the dynamic energy flow behavior of solar energy-powered BS by using stochastic queue model, jointly considering instability of solar energy generation, non-linear effects of energy storage, and time varies …

Visualizing Nanoscale Excitonic Relaxation Properties Of Disordered Edges And Grain Boundaries In Monolayer Molybdenum Disulfide, Wei Bao, Nicholas J. Borys, Changhyun Ko, Joonki Suh, Wen Fan, Andrew Thron, Yingjie Zhang, Alexander Buyanin, Jie Zhang, Stefano Cabrini, Paul D. Ashby, Alexander Weber-Bargioni, Sefaattin Tongay, Shaul Aloni, D. Frank Ogletree, Junqiao Wu, Miquel B. Salmeron, P. James Schuck

Department of Electrical and Computer Engineering: Faculty Publications

Two-dimensional monolayer transition metal dichalcogenide semiconductors are ideal building blocks for atomically thin, flexible optoelectronic and catalytic devices. Although challenging for two-dimensional systems, sub-diffraction optical microscopy provides a nanoscale material understanding that is vital for optimizing their optoelectronic properties. Here we use the ‘Campanile’ nano-optical probe to spectroscopically image exciton recombination within monolayer MoS2 with sub-wavelength resolution (60 nm), at the length scale relevant to many critical optoelectronic processes. Synthetic monolayer MoS2 is found to be composed of two distinct optoelectronic regions: an interior, locally ordered but mesoscopically heterogeneous two-dimensional quantum well and an unexpected B300-nm wide, energetically disordered edge …

Misfit: Mining Software Fault Information And Types, Billy R. Kidwell

Theses and Dissertations--Computer Science

As software becomes more important to society, the number, age, and complexity of systems grow. Software organizations require continuous process improvement to maintain the reliability, security, and quality of these software systems. Software organizations can utilize data from manual fault classification to meet their process improvement needs, but organizations lack the expertise or resources to implement them correctly.

This dissertation addresses the need for the automation of software fault classification. Validation results show that automated fault classification, as implemented in the MiSFIT tool, can group faults of similar nature. The resulting classifications result in good agreement for common software faults …

Multilevel Ant Colony Optimization To Solve Constrained Forest Transportation Planning Problems, Pengpeng Lin

Theses and Dissertations--Computer Science

In this dissertation, we focus on solving forest transportation planning related problems, including constraints that consider negative environmental impacts and multi-objective optimizations that provide forest managers and road planers alternatives for making informed decisions. Along this line of study, several multilevel techniques and mataheuristic algorithms have been developed and investigated. The forest transportation planning problem is a fixed-charge problem and known to be NP-hard. The general idea of utilizing multilevel approach is to solve the original problem of which the computational cost maybe prohibitive by using a set of increasingly smaller problems of which the computational cost is cheaper.

The …

Security Of Non-Volatile Memories - Attack Models, Analyses, And Counter-Measures, Jae-Won Jang

USF Tampa Graduate Theses and Dissertations

The unprecedented demand for performance in the latest technologies will ultimately require changes in the way we design cache. Emerging high density embedded memories such as Spin-Transfer Torque Random Access Memory (STTRAM) have emerged as a possible candidate for universal memory due to its high speed, low power, non-volatility, and low cost. Although attractive, STTRAM is susceptible to contactless tampering through malicious exposure to magnetic field with the intention to steal or modify the bitcell content. In this thesis, we explore various attack techniques on STTRAM and then propose a novel array-based sensor to detect the polarity and magnitude of …

Litigation Holds: Past, Present, And Future Directions, Milton Luoma, Vicki M. Luoma

Journal of Digital Forensics, Security and Law

Electronically Stored Information (ESI) first became a serious litigation issue in the late 1990s, and the first attempts to determine best practices did not occur until the early 2000s. As best practices developed, the litigation hold to prevent routine destruction of documents and to preserve documents relevant to litigation came into existence. The duty to preserve ESI is triggered when litigation is reasonably anticipated. All information that relates to potential litigation must be preserved from the time it becomes reasonably apparent that litigation is possible until the expiration of the statute of limitations. If steps are not taken to properly …

Coalgebraic Semantics Of Reflexive Economics (Dagstuhl Seminar 15042), Samson Abramsky, Alexander Kurz, Pierre Lescanne, Viktor Winschel

Engineering Faculty Articles and Research

This report documents the program and the outcomes of Dagstuhl Seminar 15042 “Coalgebraic Semantics of Reflexive Economics”.

Robust, Low Power, Discrete Gate Sizing, Anthony Joseph Casagrande

USF Tampa Graduate Theses and Dissertations

Ultra-deep submicron circuits require accurate modeling of gate delay in order to meetaggressive timing constraints. With the lack of statistical data, variability due to the mechanical manufacturing process and its chemical properties poses a challenging problem. Discrete gate sizing requires (i) accurate models that take into account random parametric variation and (ii) a fair allocation of resources to optimize the solution. The proposed GTFUZZ gate sizing algorithm handles both tasks. Gate sizing is modeled as a resource allocation problem using fuzzy game theory. Delay is modeled as a constraint and power is optimized in this algorithm. In GTFUZZ, delay is …

Visqolaudio: An Objective Audio Quality Metric For Low Bitrate Codecs, Andrew Hines, Eoin Gillen, Damien Kelly, Jan Skoglund, Anil Kokaram, Naomi Harte

Articles

Streaming services seek to optimise their use of bandwidth across audio and visual channels to maximise the quality of experience for users. This letter evaluates whether objective quality metrics can predict the audio quality for music encoded at low bitrates by comparing objective predictions with results from listener tests. Three objective metrics were benchmarked: PEAQ, POLQA, and VISQOLAudio. The results demonstrate objective metrics designed for speech quality assessment have a strong potential for quality assessment of low bitrate audio codecs.

An Analysis Of The Impact Of Playout Delay Adjustments Introduced By Voip Jitter Buffers On Listening Speech Quality, Peter Počta, Hugh Melvin, Andrew Hines

Articles

This paper investigates the impact of frequent and small playout delay adjustments (time-shifting) of 30 ms or less introduced to silence periods by Voice over IP (VoIP) jitter buffer strategies on listening quality perceived by the end user. In particular, the quality impact is assessed using both a subjective method (quality scores obtained from subjective listening test) and an objective method based on perceptual modelling. Two different objective methods are used, PESQ (Perceptual Evaluation of Speech Quality, ITU-T Recommendation P.862) and POLQA (Perceptual Objective Listening Quality Assessment, ITU-T Recommendation P.863). Moreover, the relative accuracy of both objective models is assessed …

Extraction Of Pictorial Energy Information From Campus Unmetered Buildings Using Image Processing Techniques, Yachen Tang

Dissertations, Master's Theses and Master's Reports - Open

In recent years, advanced metering infrastructure (AMI) has been the main research focus due to the traditional power grid has been restricted to meet development requirements. There has been an ongoing effort to increase the number of AMI devices that provide real-time data readings to improve system observability. Deployed AMI across distribution secondary networks provides load and consumption information for individual households which can improve grid management. Significant upgrade costs associated with retrofitting existing meters with network-capable sensing can be made more economical by using image processing methods to extract usage information from images of the existing meters. This thesis …

Validating The Representativeness Of Test Samples For Performance Prediction Of Face Recognition, Jason Hooks

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the reasons testing biometric systems is difficult lays in the fact that the test sample available during technology evaluation may not be sufficiently similar to the usage profile that the system will encounter in operations. As the result, performance expectations derived from testing prior to system deployment may not match actual performance after the deployment. A specific instance of this problem occurs when the data from the field in which biometric system will be deployed is sequestered.

In this study, we simulated the stated scenario using two datasets, originally claimed to be similar and adequate for performance prediction; …

Autonomous Robot Sphere, Robert Haver, Melissa Haver, Daniel Madden, Noah Robertson

Williams Honors College, Honors Research Projects

The Autonomous Robot Sphere is an interactive robot toy meant to entertain kids. The robot will locate its target and execute algorithms to autonomously evade or chase a child. The sphere will contain a platform equipped with four omni-wheels, which will allow the sphere to maneuver and change direction almost instantaneously. The robot will be configured to maintain a fixed distance from the transmitter, allowing it to chase or evade the child in response to their movement. The primary advantage of our design lies in its capability to quickly adapt to changes in direction.

Building Computing-As-A-Service Mobile Cloud System, Kun Wang

Wayne State University Dissertations

The last five years have witnessed the proliferation of smart mobile devices, the explosion of various mobile applications and the rapid adoption of cloud computing in business, governmental and educational IT deployment. There is also a growing trends of combining mobile computing and cloud computing as a new popular computing paradigm nowadays. This thesis envisions the future of mobile computing which is primarily affected by following three trends: First, servers in cloud equipped with high speed multi-core technology have been the main stream today. Meanwhile, ARM processor powered servers is growingly became popular recently and the virtualization on ARM systems …

Design Disjunction For Resilient Reconfigurable Hardware, Ahmad Alzahrani

Electronic Theses and Dissertations

Contemporary reconfigurable hardware devices have the capability to achieve high performance, power efficiency, and adaptability required to meet a wide range of design goals. With scaling challenges facing current complementary metal oxide semiconductor (CMOS), new concepts and methodologies supporting efficient adaptation to handle reliability issues are becoming increasingly prominent. Reconfigurable hardware and their ability to realize self-organization features are expected to play a key role in designing future dependable hardware architectures. However, the exponential increase in density and complexity of current commercial SRAM-based field-programmable gate arrays (FPGAs) has escalated the overhead associated with dynamic runtime design adaptation. Traditionally, static modular …