Engineering Commons^™

2012 Tsu Undergraduate Research Program, David Owerbach

Office of Research Institutional Research and Scholarship

No abstract provided.

Operational Guidance For Bicycle-Specific Traffic Signals In The United States, Christopher Monsere, Miguel A. Figliozzi, Sam Thompson, Kirk Paulsen

Civil and Environmental Engineering Faculty Publications and Presentations

The research consisted of two phases: 1) a synthesis of practice and 2) and analysis of cyclist performance characteristics. The synthesis of current practice reviewed the literature, current engineering design and operational guidance documents, and surveyed the jurisdictions about their current deployments of bicyclespecific signals. This report summarizes research of cyclist behavior at signalized intersections in Portland, Eugene, Corvallis, Beaverton and Clackamas County, OR. These signals had both bicycle-specific indications and vehicle-only signals. A total of 4,673cyclists were observed. For each cyclist observed arriving on red, a set of descriptive variables were collected (e.g., age, sex, helmet use, presence of …

Effects Of Oxygen Deprivation On Pilot Performance And Cognitive Processing Skills: A Pilot Study, David Francis Shideler

Doctoral Dissertations and Master's Theses

According to Federal Aviation Administration (FAA) regulations, pilots flying above 14,000 ft. are required to use supplemental oxygen. The purpose of this study was to examine how oxygen deprivation below 14,000 ft. affects pilot performance using the Frasca Mentor Advanced Aviation Training Device (AATD), and cognitive processing skills using the Automated Neuropsychological Assessment Metrics (ANAM(TM)) cognitive test. The study was conducted in a Normobaric High Altitude Laboratory at simulated altitudes of 5,000 ft. and 14,000 ft. In this pilot study, only five participants were tested; non-significant results of the analysis were anticipated; however, as oxygen levels decreased and time of …

Toward Large-Scale Agent Guidance In An Urban Taxi Service, Agussurja Lucas, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Empty taxi cruising represents a wastage of resources in the context of urban taxi services. In this work, we seek to minimize such wastage. An analysis of a large trace of taxi operations reveals that the services’ inefficiency is caused by drivers’ greedy cruising behavior. We model the existing system as a continuous time Markov chain. To address the problem, we propose that each taxi be equipped with an intelligent agent that will guide the driver when cruising for passengers. Then, drawing from AI literature on multiagent planning, we explore two possible ways to compute such guidance. The first formulation …

The Patrol Scheduling Problem, Hoong Chuin Lau, Aldy Gunawan

Research Collection School Of Computing and Information Systems

This paper presents the problem of scheduling security teams to patrol a mass rapid transit rail network of a large urban city. The main objective of patrol scheduling is to deploy security teams to stations at varying time periods of the network subject to rostering as well as security-related constraints. We present a mathematical programming model for this problem. We then discuss the aspect of injecting randomness by varying the start times, the break times for each team as well as the number of visits required for each station according to their reported vulnerability. Finally, we present results for the …

A Critical Examination Of The Construct Validity Of The Tti Performance DnaTm Survey For The Purpose Of Differentiating The Entrepreneurially-Minded Engineer, Sandra L. Dietrich

Master's Theses and Doctoral Dissertations

The United States needs workers with more than technical skills to meet the demands of global competition; more specifically, a new breed of engineer is necessary, one who possesses leadership skills and business acumen in addition to the technical engineering skills. One Midwestern foundation has recognized this challenge and is working with engineering universities to enhance programs to create entrepreneurially-minded engineers (EMEs). To this end, the Target Training International, Ltd. (TTI) Performance DNATM survey has been developed to measure the behaviors, values, and professional skills of these EMEs. Currently, the Foundation has collected data using this survey with engineering students …

Demand Responsive Signal Control Strategy (Drsc) Incorporating Queue Length Information In Real-Time Signal Control, Rahul Rajbhara

Civil & Environmental Engineering Theses & Dissertations

Most of the existing vehicle detection systems, namely inductive loops, video cameras etc. are incapable of measuring the queue lengths at signalized intersections. However, with the advent of modern technology, newer detection methods such as probe vehicles equipped with wireless communications (Connected Vehicles), particularly under the Vehicle Infrastructure Integration [52), and radar detection currently provide this capability [53). This thesis presents a Demand Responsive Signal Control Strategy (termed as DRSC) for an isolated signalized intersection. The control strategy incorporates real-time queue length information (obtained from probe vehicles) into the signal control logic. Demand based maximum green time for each upcoming/new …

Establishing Relationships Between Risk Management And Knowledge Transfer, Garrett S. Haltiwanger

Engineering Management & Systems Engineering Theses & Dissertations

Risk management (RM) and Knowledge management (KM) have mostly been treated as separate management philosophies. Risk management is a widely taught topic in academia and is practiced in industry. Knowledge management is being taught at increasingly more colleges and many companies are discovering a need for managing knowledge. This dissertation shows that some research has been conducted to apply the principles of knowledge management in establishing risk management plans. To a lesser extent there has been research conducted to apply the philosophies of risk management to identifying knowledge gaps and maintaining corporate knowledge. Both risk management and knowledge management are …

Using Decision-Making Techniques In Support Of Simulation Training Transfer Selections, Jane Taylor Bachman

Computational Modeling & Simulation Engineering Theses & Dissertations

A general methodological approach for determining the selection of military training simulations with respect to military training requirements has not been developed. This thesis undertakes a literature review, which indicated that there was a need for a multi-criteria decision making model to assist acquisition and/or training planners in making training selection decisions. The Analytical Hierarchy Process (AHP) Model was selected from a multi-criteria decision-making model candidate list for evaluation of its efficacy in selecting military training simulations based upon the military training requirements. Four separate trainee populations, Alpha, Beta, Charlie, and Delta, were evaluated. Results from the Alpha study case …

Towards Managing And Understanding The Risk Of Underwater Terrorism, Richard J. Gay

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation proposes a methodology to manage and understand the risk of underwater terrorism to critical infrastructures utilizing the parameters of the risk equation. Current methods frequently rely on statistical methods, which suffer from a lack of appropriate historical data to produce distributions and do not integrate epistemic uncertainty. Other methods rely on locating subject matter experts who can provide judgment and then undertaking an associated validation of these judgments.

Using experimentation, data from unclassified successful, or near successful, underwater attacks are analyzed and instantiated as a network graph with the key characteristics of the risk of terrorism represented as …

Using System Dynamics To Contribute To Ecological Economics, Takuro Uehara, Yoko Nagase, Wayne Wakeland

Complex Systems Faculty Publications and Presentations

This paper demonstrates the usefulness of the system dynamics approach to the development of ecological economics, the study of the interactions between economic systems and ecological systems. We build and analyze an ecological economic model: an extension of a population–resource dynamics model developed by Brander and Taylor and published in American Economic Review in 1998. The focus of the present paper is on the model building and analysis to contribute to theory building rather than eliciting policy implications from the model. Hence, this is an example of model-based theory building using system dynamics. Our analysis sheds light on several problems …

A Study Of Headway Maintenance For Bus Routes: Causes And Effects Of “Bus Bunching” In Extensive And Congested Service Areas, Miguel A. Figliozzi, Wu-Chi Feng, Gerardo Lafferriere, Wei Feng

Civil and Environmental Engineering Faculty Publications and Presentations

A healthy and efficient public transit system is indispensable to reduce congestion, emissions, energy consumption, and car dependency in urban areas. The objective of this research is to 1) develop methods to evaluate and visualize bus service reliability for transit agencies in various temporal and spatial aggregation levels; 2) identify the recurrent unreliability trends of bus routes (focusing on high-frequency service periods) and understand their characteristics, causes and effects; and 3) model service times using linear regression models.

This research utilized six months of archived automatic vehicle location (AVL) and automatic passenger count (APC) data from a low-performance route (Route …

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 …

The Effect Of Control And Display Lag On Uas Internal Pilot Manual Landing Performance, Marshall Everett Lloyd

Doctoral Dissertations and Master's Theses

An important characteristic of UASs is lag because it can become a considerable challenge to successful human-in-the-loop control. As such, UASs are designed and configured to minimize system lag, though this can increase acquisition and operation costs considerably. In an effort to cut costs, an organization may choose to accept greater risk and deploy a UAS with high system lag. Before this risk can be responsibly accepted, it must be quantified.

While many studies have examined system lag, very few have been able to quantify the risk that various levels of lag pose to an internally piloted, manually landed UAS. …

The Effects Of Familiarity And Persuasion On Risk Assessment, Casey L. Smith

Doctoral Dissertations and Master's Theses

Cognitive biases influence decisions and the analyses of risk. They are often derived from two separate processes: bias based on familiarity (familiarity bias) and bias as the result of influences from outside sources (persuasion bias). Research suggests that familiarity-based bias may lead to acceptance of an activity's drawbacks and a leniency of its risks.

In addition, research has tried to measure and analyze different types of biases individually, but few have compared the interactions of more than one bias at once. Because different biases may derive from different mental phenomena it is important to tease out the distinctions, and observe …

The Effects Of Expertise And Information Location On Change Blindness Detection Within An Aviation Domain, Dinorah Zárate

Doctoral Dissertations and Master's Theses

Change blindness is a phenomenon where the viewer fails to detect change in an object or scene during a visual disturbance. During a flight, a pilot samples multiple displays for information about the task at hand. It is imperative that the changes in the displays are being correctly viewed by pilots to ensure a safe flight. However, it is unknown how much change blindness affects pilots or if pilot expertise plays a role in change detection.

A change blindness experiment was performed with twenty four participants divided into two groups based on expertise. Expert pilots were defined as instructor pilots …

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 …

Analyzing And Quantifying The Impact Of Congestion On Ltl Industry Costs And Performance In The Portland Metropolitan Region, Miguel A. Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

Increased congestion during peak morning and afternoon periods in urban areas is increasing logistics costs. In addition, environmental, social, and political pressures to limit the impacts associated with CO2 emissions are mounting rapidly. A key challenge for transportation agencies and businesses is to improve the efficiency of urban freight and commercial vehicle movements while ensuring environmental quality, livable communities, and economic growth. However, research and policy efforts to analyze and quantify the impacts of congestion and freight public policies on carriers operations and CO2 emissions are hindered by the complexities of vehicle routing problems with time-dependent travel times and the …

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.

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.

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.

Agenda: A Low-Carbon Energy Blueprint For The American West, University Of Colorado Boulder. Natural Resources Law Center, University Of Colorado Boulder. Renewable And Sustainable Energy Institute, Western Resource Advocates, Rocky Mountain Research Station (Fort Collins, Colo.)

A Low-Carbon Energy Blueprint for the American West (Martz Summer Conference, June 6-8)

The future of the planet may depend upon our ability to increase energy supplies even as we reduce carbon emissions. This conference will address how a low-carbon energy program might evolve with a particular focus on the American West. It will focus on the future of energy in the West--on a “managed transition” to a different energy mix, on the need to nest this effort in a framework that acknowledges interconnections, and on identifying the most salient opportunities to consider the legal, political, financial, and technical challenges.

Real World Computer Forensics, Jessica Riccio

Liberal Arts and Engineering Studies

No abstract provided.

Digital Evidence Education In Schools Of Law, Aaron Alva, Barbara Endicott-Popovsky

Annual ADFSL Conference on Digital Forensics, Security and Law

An examination of State of Connecticut v. Julie Amero provides insight into how a general lack of understanding of digital evidence can cause an innocent defendant to be wrongfully convicted. By contrast, the 101-page opinion in Lorraine v. Markel American Insurance Co. provides legal precedence and a detailed consideration for the admission of digital evidence. An analysis of both cases leads the authors to recommend additions to Law School curricula designed to raise the awareness of the legal community to ensure such travesties of justice, as in the Amero case, don’t occur in the future. Work underway at the University …

A Case Study Of The Challenges Of Cyber Forensics Analysis Of Digital Evidence In A Child Pornography Trial, Richard Boddington

Annual ADFSL Conference on Digital Forensics, Security and Law

Perfunctory case analysis, lack of evidence validation, and an inability or unwillingness to present understandable analysis reports adversely affect the outcome course of legal trials reliant on digital evidence. These issues have serious consequences for defendants facing heavy penalties or imprisonment yet expect their defence counsel to have clear understanding of the evidence. Poorly reasoned, validated and presented digital evidence can result in conviction of the innocent as well as acquittal of the guilty. A possession of child pornography Case Study highlights the issues that appear to plague case analysis and presentation of digital evidence relied on in these odious …

After Five Years Of E-Discovery Missteps: Sanctions Or Safe Harbor?, Milton Luoma, Vicki Luoma

Annual ADFSL Conference on Digital Forensics, Security and Law

In 2003 the Zubulake case became the catalyst of change in the world of e-discovery. In that case Judge Shira Scheindlin of the United States District Court for the Southern District of New York set guidelines for e-discovery that served as the basis for amending the Federal Rules of Civil Procedure (FRCP) in December 2006. The amendments incorporated a number of concepts that were described by Judge Scheindlin in the Zubulake case. ( Zubulake v. UBS Warburg LLC, 2003) Since the Zubulake case and the FRCP amendments, numerous cases have interpreted these rules changes, but one of the main points …

Multi-Parameter Sensitivity Analysis Of A Bayesian Network From A Digital Forensic Investigation, Richard E. Overill, Echo P. Zhang, Kam-Pui Chow

Annual ADFSL Conference on Digital Forensics, Security and Law

A multi-parameter sensitivity analysis of a Bayesian network (BN) used in the digital forensic investigation of the Yahoo! email case has been performed using the principle of ‘steepest gradient’ in the parameter space of the conditional probabilities. This procedure delivers a more reliable result for the dependence of the posterior probability of the BN on the values used to populate the conditional probability tables (CPTs) of the BN. As such, this work extends our previous studies using singleparameter sensitivity analyses of BNs, with the overall aim of more deeply understanding the indicative use of BNs within the digital forensic and …

Facilitating Forensics In The Mobile Millennium Through Proactive Enterprise Security, Andrew R. Scholnick

Annual ADFSL Conference on Digital Forensics, Security and Law

This work explores the impact of the emerging mobile communication device paradigm on the security-conscious enterprise, with regard to providing insights for proactive Information Assurance and facilitation of eventual Forensic analysis. Attention is given to technology evolution in the areas of best practices, attack vectors, software and hardware performance, access and activity monitoring, and architectural models.

Keywords: Forensics, enterprise security, mobile communication, best practices, attack vectors.

Cloud Forensics Investigation: Tracing Infringing Sharing Of Copyrighted Content In Cloud, Yi-Jun He, Echo P. Zhang, Lucas C.K. Hui, Siu Ming Yiu, K.P. Chow

Annual ADFSL Conference on Digital Forensics, Security and Law

Cloud Computing is becoming a significant technology trend nowadays, but its abrupt rise also creates a brand new front for cybercrime investigation with various challenges. One of the challenges is to track down infringing sharing of copyrighted content in cloud. To solve this problem, we study a typical type of content sharing technologies in cloud computing, analyze the challenges that the new technologies bring to forensics, formalize a procedure to get digital evidences and obtain analytical results based on the evidences to track down illegal uploader. Furthermore, we propose a reasoning model based on the probability distribution in a Bayesian …

Ipad2 Logical Acquisition: Automated Or Manual Examination?, Somaya Ali, Sumaya Alhosani, Farah Alzarooni, Ibrahim Baggili

Annual ADFSL Conference on Digital Forensics, Security and Law

Due to their usage increase worldwide, iPads are on the path of becoming key sources of digital evidence in criminal investigations. This research investigated the logical backup acquisition and examination of the iPad2 device using the Apple iTunes backup utility while manually examining the backup data (manual examination) and automatically parsing the backup data (Lantern software - automated examination). The results indicate that a manual examination of the logical backup structure from iTunes reveals more digital evidence, especially if installed application data is required for an investigation. However, the researchers note that if a quick triage is needed of an …