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Articles 16171 - 16200 of 25630
Full-Text Articles in Computer Engineering
Runtime Detection Of A Bandwidth Denial Attack From A Rogue Network-On-Chip, Rajesh Jayashankarashridevi
Runtime Detection Of A Bandwidth Denial Attack From A Rogue Network-On-Chip, Rajesh Jayashankarashridevi
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Chips with high computational power are the crux of today’s pervasive complex digital systems. Microprocessor circuits are evolving towards many core designs with the integration of hundreds of processing cores, memory elements and other devices on a single chip to sustain high performance computing while maintaining low design costs. Two decisive paradigm shifts in the semiconductor industry have made this evolution possible: (a) architectural and (b) organizational.
At the heart of the architectural innovation is a scalable high speed data communication structure, the network-on-chip (NoC). NoC is an interconnect network for the glueless integration of on-chip components in the …
Evaluation Of Tracking Regimes For, And Security Of, Pli Systems, Shayan Taheri
Evaluation Of Tracking Regimes For, And Security Of, Pli Systems, Shayan Taheri
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
In recent years, the researchers and engineers have realized that the trustiness of computer and networking devices and hardware can no longer be examined properly using the existing identification and security checking methods that operate based on the digital representation of data. As an example, since the digital identifiers can be copied, it is difficult to tie a digital identity to a device for sure. Also, the new or present created cyber attacks can manipulate the used digital data in a network easily. Due to these issues, the trend in development of new identification and security checking methods has moved …
Application Of Ergonomic Principles In Computer Workstations To Alleviate Health Risks From Extended Computer Use, John M. Awbrey
Application Of Ergonomic Principles In Computer Workstations To Alleviate Health Risks From Extended Computer Use, John M. Awbrey
Morehead State Theses and Dissertations
A Thesis Presented to the Faculty of the College of Science and Technology Morehead State University in Partial Fulfillment of the Requirements for the Degree Master of Science by John M. Awbrey on April 27, 2015
An Exploration Of Quality Systems In Healthcare Facilities, Tange D. Awbrey
An Exploration Of Quality Systems In Healthcare Facilities, Tange D. Awbrey
Morehead State Theses and Dissertations
A thesis presented to the faculty of the College of Science and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Tange D. Awbrey on April 27, 2015.
Robust And Real-Time Stereo Matching On Parallel Graphics Hardware Using Gradient-Based Disparity Refinement, Jedrzej Kowalczuk
Robust And Real-Time Stereo Matching On Parallel Graphics Hardware Using Gradient-Based Disparity Refinement, Jedrzej Kowalczuk
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Computer vision attempts to provide camera-equipped machines with visual perception, i.e., the capability to comprehend their surroundings through the analysis and understanding of images. The ability to perceive depth is a vital component of visual perception that enables machines to interpret the three-dimensional structure of their surroundings and allows them to navigate through the environment. In computer vision, depth perception is achieved via stereo matching, a process that identifies correspondences between pixels in images acquired using a pair of horizontally offset cameras. It is possible to calculate depths from correspondences or, more specifically, the positional offsets (disparities) between pixels in …
Design Refinement By Iterative Virtual Experimentation (D.R.I.V.E.): A Methodology To Solving Engineering Design Problems, Charles M. Watson
Design Refinement By Iterative Virtual Experimentation (D.R.I.V.E.): A Methodology To Solving Engineering Design Problems, Charles M. Watson
Morehead State Theses and Dissertations
A Thesis Presented to the Faculty of the College of Science & Technology Morehead State University in Partial Fulfillment of the requirements for the Degree Master of Science by Charles M. “Matt” Watson on April 25, 2015
Model-Based Condition Monitoring And Power Management For Rechargeable Electrochemical Batteries, Taesic Kim
Model-Based Condition Monitoring And Power Management For Rechargeable Electrochemical Batteries, Taesic Kim
School of Computing: Dissertations, Theses, and Student Research
Rechargeable multicell batteries have been used in various electrical and electronic systems, e.g., renewable energy systems, electric-drive vehicles, commercial electronics, etc. However, there are still concerns about the reliability and performance degradation of rechargeable batteries caused by low thermal stability and the aging process. A properly designed battery management system (BMS) is required for condition monitoring and control of multicell batteries to ensure their safety, reliability, and optimal performance. The goal of this dissertation research was to develop a novel BMS for rechargeable multicell batteries.
First, this research developed high-fidelity battery models for online condition monitoring and power management of …
Authentication Protocols Based On Advanced Encryption Standard (Aes), Michael Smith, Brandon Barker, Liljana Babinkostova
Authentication Protocols Based On Advanced Encryption Standard (Aes), Michael Smith, Brandon Barker, Liljana Babinkostova
College of Arts and Sciences Presentations
For the last three decades, hash functions have been an essential element of the cryptography used for securing computers and electronic communications. The SmartDongle is a flash drive produced by MicroWorks and is meant to secure data and assure authorized use of software. In this project, we investigate the security of certain cryptographic techniques used in the current implementation of the SmartDongle’s authentication protocol. In particular, we analyze how the use of Merkle-Damgard hash functions based on a simplified version of the Advanced Encryption Standard (AES) can affect the SmartDongle's security. Our study involves extensive computational experimentation and analysis that …
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Information Science Faculty Publications
Cloud computing platforms can be highly attractive to conduct course assignments and empower students with valuable and indispensable hands-on experience. In particular, the cloud can offer teaching staff and students (whether local or remote) on-demand, elastic, dedicated, isolated, (virtually) unlimited, and easily configurable virtual machines. As such, employing cloud-based laboratories can have clear advantages over using classical ones, which impose major hindrances against fulfilling pedagogical objectives and do not scale well when the number of students and distant university campuses grows up. We show how the cloud paradigm can be leveraged to teach a cybersecurity course. Specifically, we share our …
A Blackboard-Style Decision-Making System For Multi-Tier Craft Control And Its Evaluation, Jeremy Straub, Hassan Reza
A Blackboard-Style Decision-Making System For Multi-Tier Craft Control And Its Evaluation, Jeremy Straub, Hassan Reza
Computer Science Faculty Publications
This article presents an approach for decision-making in support of the control of an autonomous system of multiple tiers of robots (e.g., satellite, aerial and ground) based on the Blackboard architectural style. Under the proposed approach, the system evaluates prospective approaches for goal satisfaction (identified by user selected final rules), identifies the lowest-cost solution and determines the best path to achieving the goal, via the analysis of the Blackboard rule and action set. Two different approaches to this rule and action path generation are discussed. This article presents the proposed Blackboard-style architecture for autonomous multi-tier control and describes its implementation. …
Monolayer And/Or Few-Layer Graphene On Metal Or Metal-Coated Substrates, Peter Werner Sutter, Eli Anguelova Sutter
Monolayer And/Or Few-Layer Graphene On Metal Or Metal-Coated Substrates, Peter Werner Sutter, Eli Anguelova Sutter
Department of Electrical and Computer Engineering: Faculty Publications
Disclosed is monolayer and/or few-layer graphene on metal or metal-coated substrates. Embodiments include graphene mirrors. In an example, a mirror includes a substrate that has a surface exhibiting a curvature operable to focus an incident beam onto a focal plane. A graphene layer conformally adheres to the substrate, and is operable to protect the substrate surface from degradation due to the incident beam and ambient environment.
A Study Of Microwave Curing Of Underfill Using Open And Closed Microwave Ovens, Aditya Thakare
A Study Of Microwave Curing Of Underfill Using Open And Closed Microwave Ovens, Aditya Thakare
Dissertations and Theses
As the demand for microprocessors is increasing with more and more consumers using integrated circuits in their daily life, the demand on the industry is increasing to ramp up production.
In order to speed up the manufacturing processes, new and novel approaches are trying to change certain aspects of it. Microwaves have been tried as an alternative to conventional ovens in the curing of the polymers used as underfills and encapsulants in integrated circuits packages. Microwaves however being electromagnetic waves have non uniform energy distribution in different settings, causing burning or incomplete cure of polymers.
In this study, we compare …
How The University Of California Runs One Repository For Ten Campuses, Katie Fortney
How The University Of California Runs One Repository For Ten Campuses, Katie Fortney
Inaugural CSU IR Conference, 2015
Katie Fortney, JD, MLIS, Copyright Policy & Education Officer, Office of Scholarly Communication, University of California http://osc.universityofcalifornia.edu/
Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard
Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard
Inaugural CSU IR Conference, 2015
Michele Wyngard, Digital Repository Coordinator, CSU Cal Poly
Using Google Tag Manager And Google Analytics, (Code{4}Lib Journal), Suzanna Conrad
Using Google Tag Manager And Google Analytics, (Code{4}Lib Journal), Suzanna Conrad
Inaugural CSU IR Conference, 2015
Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona
What’S New Since The April 2013 Stim Ir Subcommittee Report To Cold: Hydra, Islandora And Dspace, Aaron Collier, Suzanna Conrad, Carmen Mitchell, Joan Parker, Andrew Weiss, Jeremy C. Shellhase
What’S New Since The April 2013 Stim Ir Subcommittee Report To Cold: Hydra, Islandora And Dspace, Aaron Collier, Suzanna Conrad, Carmen Mitchell, Joan Parker, Andrew Weiss, Jeremy C. Shellhase
Inaugural CSU IR Conference, 2015
Aaron Collier, Digital Repository Services Manager, Chancellor’s Office
Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona
Carmen Mitchell, Institutional Repository Librarian, CSU San Marcos
Joan Parker, Librarian, Moss Landing Marine Laboratories
Andrew Weiss, Digital Services Librarian, CSU Northridge
Jeremy Shellhase, Head of Information Services & Systems Department, Humboldt State University
The State Of Scholarworks, Aaron Collier
The State Of Scholarworks, Aaron Collier
Inaugural CSU IR Conference, 2015
Aaron Collier, Digital Repository Services Manager, Chancellor’s Office
Cumulonimbus Computing Concerns: Information Security In Public, Private, And Hybrid Cloud Computing, Daniel Adams
Cumulonimbus Computing Concerns: Information Security In Public, Private, And Hybrid Cloud Computing, Daniel Adams
Senior Honors Theses
Companies of all sizes operating in all markets are moving toward cloud computing for greater flexibility, efficiency, and cost savings. The decision of how to adopt the cloud is a question of major security concern due to the fact that control is relinquished over certain portions of the IT ecosystem. This thesis presents the position that the main security decision in moving to cloud computing is choosing which type of cloud to employ for each portion of the network – the hybrid cloud approach. Vulnerabilities that exist on a public cloud will be explored, and recommendations on decision factors will …
Cloud Enabled Attack Vectors, Ryan Jasper
Cloud Enabled Attack Vectors, Ryan Jasper
Purdue Polytechnic Directed Projects
The purpose of this directed project and related research was to demonstrate and catalog a new attack vector that utilizes cloud managed infrastructure. Cloud computing is a recent trend that is creating significant hype in the IT sector. Being that cloud computing is a new theme in the computing world, there are many security concerns that remain unknown and unexplored. The product of this directed project provides a documented taxonomy of the new attack vector and how to mitigate risk from this kind of attack.
The new attack vector creates efficiencies throughout the lifecycle of an attack and greatly reduces …
How To Estimate Expected Shortfall When Probabilities Are Known With Interval Or Fuzzy Uncertainty, Christian Servin, Hung T. Nguyen, Vladik Kreinovich
How To Estimate Expected Shortfall When Probabilities Are Known With Interval Or Fuzzy Uncertainty, Christian Servin, Hung T. Nguyen, Vladik Kreinovich
Departmental Technical Reports (CS)
To gauge the risk corresponding to a possible disaster, it is important to know both the probability of this disaster and the expected damage caused by such potential disaster ("expected shortfall"). Both these measures of risk are easy to estimate in the ideal case, when we know the exact probabilities of different disaster strengths. In practice, however, we usually only have a partial information about these probabilities: we may have an interval (or, more generally, fuzzy) uncertainty about these probabilities. In this paper, we show how to efficiently estimate the expected shortfall under such interval and/or fuzzy uncertainty.
Which Bio-Diversity Indices Are Most Adequate, Olga Kosheleva, Craig Tweedie, Vladik Kreinovich
Which Bio-Diversity Indices Are Most Adequate, Olga Kosheleva, Craig Tweedie, Vladik Kreinovich
Departmental Technical Reports (CS)
One of the main objectives of ecology is to analyze, maintain, and enhance the bio-diversity of different ecosystems. To be able to do that, we need to gauge bio-diversity. Several semi-heuristic diversity indices have been shown to be in good accordance with the intuitive notion of bio-diversity. In this paper, we provide a theoretical justification for these empirically successful techniques. Specifically, we show that the most widely used techniques -- Simpson index -- can be justified by using simple fuzzy rules, while a more elaborate justification explains all empirically successful diversity indices.
Symbolic Aggregate Approximation (Sax) Under Interval Uncertainty, Chrysostomos D. Stylios, Vladik Kreinovich
Symbolic Aggregate Approximation (Sax) Under Interval Uncertainty, Chrysostomos D. Stylios, Vladik Kreinovich
Departmental Technical Reports (CS)
In many practical situations, we monitor a system by continuously measuring the corresponding quantities, to make sure that an abnormal deviation is detected as early as possible. Often, we do not have ready algorithms to detect abnormality, so we need to use machine learning techniques. For these techniques to be efficient, we first need to compress the data. One of the most successful methods of data compression is the technique of Symbolic Aggregate approXimation (SAX). While this technique is motivated by measurement uncertainty, it does not explicitly take this uncertainty into account. In this paper, we show that we can …
Youth And The Posthuman: Personhood, Transcendence, And Siri, Erik Leafblad, Andrew Root
Youth And The Posthuman: Personhood, Transcendence, And Siri, Erik Leafblad, Andrew Root
Faculty Publications
When everything gets turned into a technology, and existence is about practical mastery, the mystery of being is buried and everything is made an object, blurring the lines between human personhood and other technological objects.
Captured Open Book Image De-Warping And Shading Correction Using 3d Depth Information, Chyuan-Tyng Wu
Captured Open Book Image De-Warping And Shading Correction Using 3d Depth Information, Chyuan-Tyng Wu
Open Access Dissertations
Various three dimensional (3D) measuring or capturing devices are introduced to the society recently, and there are abundant possibilities that we can take advantage of this new technology. In this research, we worked on one useful application: to correct the distortion due to the curved shape of the pages of an open book in captured images using of depth information. This work is relevant to camera-based capture devices that can use a projector to cast structured light patterns to provide depth information. In order to improve the visual quality of captured documents, we established our algorithm from two perspectives. First, …
Architectural Techniques To Extend Multi-Core Performance Scaling, Hamza Bin Sohail
Architectural Techniques To Extend Multi-Core Performance Scaling, Hamza Bin Sohail
Open Access Dissertations
Multi-cores have successfully delivered performance improvements over the past decade; however, they now face problems on two fronts: power and off-chip memory bandwidth. Dennard's scaling is effectively coming to an end which has lead to a gradual increase in chip power dissipation. In addition, sustaining off-chip memory bandwidth has become harder due to the limited space for pins on the die and greater current needed to drive the increasing load . My thesis focuses on techniques to address the power and off-chip memory bandwidth challenges in order to avoid the premature end of the multi-core era. ^ In the first …
A Systematic Review Of The Critical Factors For Success Of Mobile Learning In Higher Education (University Students' Perspective), Muasaad Alrasheedi, Luiz Fernando Capretz, Arif Raza
A Systematic Review Of The Critical Factors For Success Of Mobile Learning In Higher Education (University Students' Perspective), Muasaad Alrasheedi, Luiz Fernando Capretz, Arif Raza
Electrical and Computer Engineering Publications
The phenomenon of the use of a mobile learning (m-Learning) platform in educational institutions is slowly gaining momentum. However, the enthusiasm with which mobile phones have been welcomed into every aspect of our lives is not yet apparent in the educational sector. To understand the reason, it is important to understand user expectations of the system. This article documents a systematic review of existing studies to find the success factors for effective m-Learning. Our systematic review collates results from 30 studies conducted in 17 countries, where 13 critical success factors were found to strongly impact m-Learning implementation. Using these results …
Model Reduction: Why It Is Possible And How It Can Potentially Help To Control Swarms Of Unmanned Arial Vehicles (Uavs), Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo A. Romero
Model Reduction: Why It Is Possible And How It Can Potentially Help To Control Swarms Of Unmanned Arial Vehicles (Uavs), Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo A. Romero
Departmental Technical Reports (CS)
In many application areas, such as meteorology, traffic control, etc., it is desirable to employ swarms of Unmanned Arial Vehicles (UAVs) to provide us with a good picture of the changing situation and thus, to help us make better predictions (and make better decisions based on these predictions). To avoid duplication, interference, and collisions, UAVs must coordinate their trajectories. As a result, the optimal control of each of these UAVs should depend on the positions and velocities of all others -- which makes the corresponding control problem very complicated. Since, in contrast to controlling a single UAV, the resulting problem …
Optimizing Cloud Use Under Interval Uncertainty, Vladik Kreinovich, Esthela Gallardo
Optimizing Cloud Use Under Interval Uncertainty, Vladik Kreinovich, Esthela Gallardo
Departmental Technical Reports (CS)
One of the main advantages of cloud computing is that it helps the users to save money: instead of buying a lot of computers to cover all their computations, the user can rent the computation time on the cloud to cover the rare peak spikes of computer need. From this viewpoint, it is important to find the optimal division between in-house and in-the-cloud computations. In this paper, we solve this optimization problem, both in the idealized case when we know the complete information about the costs and the user's need, and in a more realistic situation, when we only know …
A Common Knowledge Engineering Framework For Data Assimilation, Correlation, And Extrapolation (Dace), Edward P. Weaver
A Common Knowledge Engineering Framework For Data Assimilation, Correlation, And Extrapolation (Dace), Edward P. Weaver
EMSE Doctoral Projects
The Common Knowledge Engineering Framework for Data Assimilation, Correlation, and Extrapolation (DACE) project is focused on providing a software centric general framework for advanced processing and analysis of data. This translates to researchers, scientists, engineers, and system architects not having to program a new application but rather to define the system configuration, process, and processing that is needed to perform a specific functionality. This makes the limitation of the application the end users ability to fully define the functional requirements and setup the framework accordingly.
This doctoral project will provide the details to the system definition, standards, metrics, schedule, and …
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Research Collection School Of Computing and Information Systems
The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning methods for target audience classification on Twitter with minimal annotation efforts. Topic domains were automatically discovered from contents shared by followers of an account owner using Twitter Latent Dirichlet Allocation (LDA). A Support Vector Machine (SVM) ensemble was then trained using contents from different account owners of the various topic domains identified by Twitter LDA. Experimental results …