Computer Engineering Commons^™

Meta-Heuristics Analysis For Technologically Complex Programs: Understanding The Impact Of Total Constraints For Schedule, Quality And Cost, Henry Darrel Webb

EMSE Doctoral Projects

Program management data associated with a technically complex radio frequency electronics base communication system has been collected and analyzed to identify heuristics which may be utilized in addition to existing processes and procedures to provide indicators that a program is trending to failure. Analysis of the collected data includes detailed schedule analysis, detailed earned value management analysis and defect analysis within the framework of a Firm Fixed Price (FFP) incentive fee contract.

This project develops heuristics and provides recommendations for analysis of complex project management efforts such as those discussed herein. The analysis of the effects of the constraints on …

Performance And Reliability Of Non-Markovian Heterogeneous Distributed Computing Systems, Jorge E. Pezoa, Majeed M. Hayat

Electrical and Computer Engineering Faculty Research and Publications

Average service time, quality-of-service (QoS), and service reliability associated with heterogeneous parallel and distributed computing systems (DCSs) are analytically characterized in a realistic setting for which tangible, stochastic communication delays are present with nonexponential distributions. The departure from the traditionally assumed exponential distributions for event times, such as task-execution times, communication arrival times and load-transfer delays, gives rise to a non-Markovian dynamical problem for which a novel age dependent, renewal-based distributed queuing model is developed. Numerical examples offered by the model shed light on the operational and system settings for which the Markovian setting, resulting from employing an exponential-distribution assumption …

Real-Time Road Traffic Forecasting Using Regime-Switching Space-Time Models And Adaptive Lasso, Yiannis Kamarianakis, Wei Shen, Laura Wynter

Research Collection School Of Computing and Information Systems

Smart transportation technologies require real-time traffic prediction to be both fast and scalable to full urban networks. We discuss a method that is able to meet this challenge while accounting for nonlinear traffic dynamics and space-time dependencies of traffic variables. Nonlinearity is taken into account by a union of non-overlapping linear regimes characterized by a sequence of temporal thresholds. In each regime, for each measurement location, a penalized estimation scheme, namely the adaptive absolute shrinkage and selection operator (LASSO), is implemented to perform model selection and coefficient estimation simultaneously. Both the robust to outliers least absolute deviation estimates and conventional …

Rejoinder: Real-Time Road Traffic Forecasting Using Regime-Switching Space-Time Models And Adaptive Lasso, Yiannis Kamarianakis, Wei Shen, Laura Wynter

Research Collection School Of Computing and Information Systems

Kamarianakis et al. presented a promising application of multivariate time series analysis to the traffic condition forecasting problem in urban transportation networks. Interest is keen and growing in providing accurate predictions of link and route travel conditions, especially in the context of the burgeoning demand for ‘real-time’ traveler information. Forecasts underlying this information must be sufficiently accurate for the traveler information provided to be of tangible value. As the authors clearly pointed out, although the near ubiquitous availability of urban traffic condition data makes area-wide forecasts theoretically possible, scalability to area-wide networks and the required speed of forecast generation represent …

Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen

Journal of Digital Forensics, Security and Law

This paper presents an algorithm for comparing large numbers of traces to each other and identifying and presenting groups of traces with similar features. It is applied to forensic analysis in which groups of similar traces are automatically identified and presented so that attribution and other related claims may be asserted, and independently confirmed or refuted. The approach of this paper is to identify an approximate algorithm that will find a large subset of greatest common factor similar groups of arbitrary factors in far less time and space than an exact algorithm using examiner-provided selection criteria for factor definition.

A Wireless And Digital Electrode Bus Topology For Biopotential Measurement, Mark Nolan, Edward Burke, Eugene Coyle

Conference Papers

The conventional biopotential measurement configuration utilises long lead wires which connect measuring electrodes to signal conditioning circuitry. The majority of bioelectric signals that are measured from the human body have a tiny signal amplitude (5µV-5mV range) and thus any interference that is induced on the lead wires can have a detrimental effect on the original signal. In this paper, we present an alternative configuration, in which digitisation occurs on the electrode, potentially providing enhanced signal measurement as well as significant benefits in terms of the simplification of the physical interconnections between electrodes. Multiple electrodes are combined to form a digital …

Semantic Search And Information Retrieval Techniques For Text Repositories, Lisham L. Singh

Theses and Dissertations

Most organizations keep details of events as electronic documents. Repositories of such documents collected over the time are often used for various purposes, including critical decision making. These documents are generally used to garner information related to a specific event, or for trending or predictive analysis. This could be done manually by going through one document at a time, provided the size of repository is small and there is no time limit for the task. However, in most practical scenarios, the repository size is huge and available time is limited. Such documents typically have multiple fields, each carrying certain information, …

Presentation On Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett

UConn Library Presentations

No abstract provided.

A Location-Aware Architecture Supporting Intelligent Real-Time Mobile Applications, Sean J. Barbeau

USF Tampa Graduate Theses and Dissertations

This dissertation presents LAISYC, a modular location-aware architecture for intelligent real-time mobile applications that is fully-implementable by third party mobile app developers and supports high-precision and high-accuracy positioning systems such as GPS. LAISYC significantly improves device battery life, provides location data authenticity, ensures security of location data, and significantly reduces the amount of data transferred between the phone and server. The design, implementation, and evaluation of LAISYC using real mobile phones include the following modules: the GPS Auto-Sleep module saves battery energy when using GPS, maintaining acceptable movement tracking (approximately 89% accuracy) with an approximate average doubling of battery life. …

Intra-Procedural Path-Insensitive Grams (I-Grams) And Disassembly Based Features For Packer Tool Classification And Detection, Scott E. Gerics

Theses and Dissertations

The DoD relies on over seven million computing devices worldwide to accomplish a wide range of goals and missions. Malicious software, or malware, jeopardizes these goals and missions. However, determining whether an arbitrary software executable is malicious can be difficult. Obfuscation tools, called packers, are often used to hide the malicious intent of malware from anti-virus programs. Therefore detecting whether or not an arbitrary executable file is packed is a critical step in software security. This research uses machine learning methods to build a system, the Polymorphic and Non-Polymorphic Packer Detection (PNPD) system, that detects whether an executable is packed …

Detecting Hardware-Assisted Hypervisor Rootkits Within Nested Virtualized Environments, Daniel B. Morabito

Theses and Dissertations

Virtual machine introspection (VMI) is intended to provide a secure and trusted platform from which forensic information can be gathered about the true behavior of malware within a guest. However, it is possible for malware to escape a guest into the host and for hypervisor rootkits, such as BluePill, to stealthily transition a native OS into a virtualized environment. This research examines the effectiveness of selected detection mechanisms against hardware-assisted virtualization rootkits (HAV-R) within a nested virtualized environment. It presents the design, implementation, analysis, and evaluation of a hypervisor rootkit detection system which exploits both processor and translation lookaside buffer-based …

Adaptive Routing Algorithm For Priority Flows In A Network, Timothy J. Carbino

Theses and Dissertations

This research presents the development of an Adaptive Routing Algorithm for Priority (ARAP) flows in a Network. Devices in today's battle space require information to function. Additional bandwidth requirements for such devices place an increased burden on the already congested networks in the battle space. Some devices require real time information (high priority) and other devices will not require real time information (low priority). Existing protocols treat the network like an opaque entity and have little knowledge of user requirements. User requirement information is available in tactical networks and we can take advantage of the known requirements to better optimize …

A Real-Time Strategy Agent Framework And Strategy Classifier For Computer Generated Forces, Lyall J. Di Trapani

Theses and Dissertations

This research effort is concerned with the advancement of computer generated forces AI for Department of Defense (DoD) military training and education. The vision of this work is agents capable of perceiving and intelligently responding to opponent strategies in real-time. Our research goal is to lay the foundations for such an agent. Six research objectives are defined: 1) Formulate a strategy definition schema effective in defining a range of RTS strategies. 2) Create eight strategy definitions via the schema. 3) Design a real-time agent framework that plays the game according to the given strategy definition. 4) Generate an RTS data …

Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett

Published Works

Batch still image processing is examined in the context of operational bound monographs and manuscripts reformatting. The scaling of overall workflows through the flexible use of Lightroom, Photoshop, VueScan, and Jhove on parametrically-edited raw DNG and batch-rendered JPEG 2000 files is surveyed. Potential gains in processing efficiency, in comprehensive device data capture and preservation, in adaptable master image repurposing capabilities, and in the smoother growth of the required large-scale digital storage capacities that surround such operational conversions are considered.

Development Of Embedded Captcha Elements For Bot Prevention In Fischer Random Chess, Ryan Mcdaniel, Roman V. Yampolskiy

Faculty and Staff Scholarship

Cheating in chess can take many forms and has existed almost as long as the game itself. The advent of computers has introduced a new form of cheating into the game. Thanks to the computational power of modern-day computers, a player can use a program to calculate thousands of moves for him or her, and determine the best possible scenario for each move and countermove. These programs are often referred to as "bots," and can even play the game without any user interaction. In this paper, we describe a methodology aimed at preventing bots from participating in online chess games. …

Applied Computer Cooling, Spencer Ellsworth

Liberal Arts and Engineering Studies

No abstract provided.

The Dancer's Friend - A Wearable Electronics Investigation, Paul Case

Computer Engineering

This project is an initial investigation into the use of wearable electronics for wireless gesture detection, with the end goal of an application of augmenting dance performance through the use of gesture controlled sound. Though the system developed is not as yet of practical use to a dance performer, it lays the groundwork for future development and expansion, in both hardware and software design. In particular, it provides an in-depth overview of the lessons learned regarding the special hardware development considerations in wearable electronics to help ensure the success of future developments.

Distributed And Centralized Iterative Detection Of Self-Encoded Spread Spectrum In Multi-Channel Communication, Liang Chi, Won Mee Jang, Lim Nguyen

Department of Electrical and Computer Engineering: Faculty Publications (to 2015)

We propose self-encoded spread spectrum with two different iterative detection methods in multi-channel communication. The centralized iterative detection outperforms the iterative detection distributed over multiple channels. The results show that self-encoded spread spectrum with the centralized iterative detection is an excellent candidate for cognitive radio network.

Wireless Ad Hoc Networks For Mobile Devices Via High Frequency Sound Waves, Yashar Bahman

Computer Engineering

The purpose of this research it to give mobile phones the ability to create a cross-platfor wireless ad-hoc network. To accomplish this the phone’s speaker/microphone will be treated as a modulator/demodulator (or modem for short). The idea is that the phone will generate sine waves at various frequencies to output them on the speaker on one end and also record audio with the microphone to analyze and decode it into data on the other.

Once complete, these functionalities will all be rolled up into one easy to use library named Wave, which can be used to send data back and …

Reliable Software Updates For On-Orbit Cubesat Satellites, Sean Fitzsimmons

Master's Theses

CubeSat satellites have redefined the standard solution for conducting missions in space due to their unique form factor and cost. The harsh environment of space necessitates examining features that improve satellite robustness and ultimately extend lifetime, which is typical and vital for mission success. The CubeSat development team at Cal Poly, PolySat, has recently redefined its standard avionics platform to support more complex mission capabilities with this robustness in mind. A significant addition was the integration of the Linux operating system, which provides the flexibility to develop much more elaborate protection mechanisms within software, such as support for remote on-orbit …