Digital Commons Network^™

Recovering Household Preferences For Digital Entertainment, Jin Li, Zhiling Guo, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Cable TV return path data made possible by current generation set-top boxes present a new opportunity to analyze household viewing behavior and recover household viewing preferences from it. This research develops a model of household viewing preference that supports quantifying a household's valuation for different categories of digital content within the constraints of the programs to which it subscribes. This study uses a data set of more than 1 million observations on households from a digital entertainment firm that offers basic and premium services. Our estimation is via a Bayesian hierarchical model that employs the Gibbs sampler. The results show …

Analysis Of Attitudes, Gender, And Beliefs Of Adolescent Students Concerning Interactive Technology, Courtney L. Teague

Theses and Dissertations

This applied dissertation was designed to provide insight about the perceptions of middle school students attending a Title I school about technology use and careers. Using a mixed methods approach, the researcher explored the beliefs and circumstances that affect attitudes and behaviors in technology usage by eighth-grade boys and girls. The research questions for this study included: 1) female Title I middle school students' perceptions of interactive technology, 2) male Title I middle school students' perceptions of interactive technology, and 3) gender differences towards interactive technology. Data were collected from six focus group participants and 226 students who completed a …

Maintenance, Barbara J. Stark

Hofstra Law Faculty Scholarship

No abstract provided.

A Statistical Analysis And Modeling Of Information Diffusion Across Online Social Networks, Michael Piserchia

Open Access Master's Theses

In recent years, online social networks have become a very popular and effective forum for information exchange. These large, highly interconnected networks span the globe and have the ability to disseminate information in a fraction of the time it would take other communication networks. Given the myriad ways in which online social networks can be used, creating accurate, predictive models for the spread of information across them is very valuable. With that, modeling processes on large networks is a difficult task. It is computationally expensive, and usually prohibitive, to model a process on the entirety of a very large network. …

Experimental Study Of A Flying Wing Anchor In Sand Under Pure Loading, Sven Sivarajah

Open Access Master's Theses

The Flying Wing Anchor (patent pending) is a new anchor concept that stabilizes offshore foundations for renewable energy. The anchor, with a wing-like shape, uses its weight to penetrate into the seabed by free-fall and mobilizes its full capacity by using the in-service load, so it is a new concept to optimize the sustainability of offshore foundations for renewable energy. A major challenge is to understand the trajectory of the anchor during loading because the anchor capacity depends on the final embedment depth and orientation. The objective of this study is to experimentally investigate the anchor behavior under pure static …

Training And Source Code Generation For Artificial Neural Networks, Brandon Winrich

Open Access Master's Theses

he ideas and technology behind artificial neural networks have advanced considerably since their introduction in 1943 by Warren McCulloch and Walter Pitts. However, the complexity of large networks means that it may not be computationally feasible to retrain a network during the execution of another program, or to store a network in such a form that it can be traversed node by node. The purpose of this project is to design and implement a program that would train an artificial neural network and export source code for it so that the network may be used in other projects.

After discussing …

Thermal Efficiency Enhancement Of An A/C System Using Computer Simulations, Xinyu Zhang

Open Access Master's Theses

In this study, effects of airflow maldistribution in a prototype V-shaped evaporator (Model CAD501) for an air-conditioning (A/C) system are investigated using computer simulations. The configuration of the fin-and-tube heat exchanger is first simplified into a 30-channel air flow passages and velocity profiles of air flowing through the simplified heat exchanger passages are obtained using CFD (Computational Fluid Dynamics) software Abaqus. The performances of the A/C system are then evaluated using thermodynamics software EES (Engineering Equation Solver) based on the velocity distribution provided by the CFD simulation. Methodologies are proposed to solve the problems associated with the air flow mal-distribution. …

The Development Of Guidance For Solving Polymer-Penetrant Diffusion Problems In Marine Hardware, Matthew Aaron Rice

Open Access Master's Theses

There is a need for the development and trial of an accessible, robust procedure that can be followed to solve polymer-penetrant diffusion problems associated with marine hardware failures, incorporating some of the complexities abounding in these types of systems. The goals of this guidance are to instruct design engineers in the appropriate methods to apply when predicting diffusion phenomena as well as to assist them when selecting materials for diffusion-susceptible or -dependent applications, especially those related to marine hardware. A straightforward step-by-step flowchart tool is presented to accomplish this instruction to average scientists and engineers not deeply versed in the …

Flourescence-Based Detection Of Pesticides Via Conjugated Polymer Nanoparticles, William Talbert

Open Access Master's Theses

The use of synthetic pesticides has played a large role in increasing crop yields throughout the world, but their adverse effects on humans and non-target animals is of major concern due to their toxicity and persistence in the environment. Some of the more persistent examples are organochlorine pesticides, particularly dichlorodiphenyltrichloroethane (DDT) and its metabolites. Reported herein is the development of a detection scheme using organic nanoparticles for the fluorescence detection of a range of pesticides. The nanoparticles were fabricated from a synthetic conjugated fluorescent polymer, and fluorescence experiments were performed using both nanoparticle solutions and polymer thin films.

The large …

Enhancement On Counting Invariant On Symmetric Virtual Biracks, Melinda Ho

Scripps Senior Theses

This thesis introduces a new enhancement for virtual birack counting invariants. We first introduce knots and other general types of knots (oriented knots, framed knots, racks, and biracks). Then we’ll discuss the methods, knot invariants, mathematicians use to identify whether two knots are different. Next we’ll look at knots with virtual crossings and knots with a good involution. Finally, we introduce a new symmetric enhancement for virtual birack counting invariants and provide an example.

Gps Spoofing Detection Using Multiple Antennas And Individual Space Vehicle Pseudoranges, David S. Radin

Open Access Master's Theses

Spoofing is the common term used for describing the intentional broadcasting of false radio frequency signals intended to disrupt and mislead systems that depend on accurate position, navigation, and timing information provided by the Global Positioning System (GPS). Spoofing is an increasingly recognized threat which is garnering increased interest from researchers and users, both military and civilian.

This thesis presents a novel GPS spoof detection algorithm that exploits the geometric distribution of a horizontal array of GPS antenna-receivers and the geometric configuration of visible navigation satellites. Using a Neyman-Pearson hypothesis testing formulation, a spatial correlation test is developed that can …

Modeling The Probability Of Mortgage Default Via Logistic Regression And Survival Analysis, Qingfen Zhang

Open Access Master's Theses

The goal of this thesis is to model and predict the probability of default (PD) for a mortgage portfolio. In order to achieve this goal, logistic regression and survival analysis methods are applied to a large dataset of mortgage portfolios recorded by one of the national banks. While logistic regression has been commonly used for modeling PD in the banking industry, survival analysis has not been explored extensively in the area. Here, survival analysis is offered as a competitive alternative to logistic regression.

The results of the final modeling for both methods show very similar fit in terms of the …

Modeling Brain Desynchronization By Eeg Sensor Variance In Epileptic Patients, Craig Michael Krebsbach

Open Access Master's Theses

The use of electroencephalogram (EEG) for predictive purposes of seizures in epileptic patients has grown steadily with the access to greater computing power. Methods of seizure analysis to date have focused on modeling and computer aided machine learning to help increase sensitivity and specificity of seizure detection. Brain synchronization between various areas of the brain at the onset of seizures tends to be a common feature of seizures, followed by a resynchronization of the various brain areas at the end of seizures. While previous methods have looked at the cross-correlation or lag-correlation of only two areas the brain, most EEG …

Predicting Scenarios For Successful Autodissemination Of Pyriproxyfen By Malaria Vectors From Their Resting Sites To Aquatic Habitats; Description And Simulation Analysis Of A Field-Parameterizable Model, Samson Sifael Kiware, George F. Corliss, Stephen Merrill, Dickson W. Lwetoijera, Gregor J. Devine, Silas Majambere, Gerry F. Killeen

Electrical and Computer Engineering Faculty Research and Publications

Background

Large-cage experiments indicate pyriproxifen (PPF) can be transferred from resting sites to aquatic habitats by Anopheles arabiensis - malaria vector mosquitoes to inhibit emergence of their own offspring. PPF coverage is amplified twice: (1) partial coverage of resting sites with PPF contamination results in far higher contamination coverage of adult mosquitoes because they are mobile and use numerous resting sites per gonotrophic cycle, and (2) even greater contamination coverage of aquatic habitats results from accumulation of PPF from multiple oviposition events.

Methods and Findings

Deterministic mathematical models are described that use only field-measurable input parameters and capture the biological …

Asymptotic Analysis Of A Magnetized Target Fusion Reactor, Michael R. Lindstrom

School of Mathematical & Statistical Sciences Faculty Publications

Nonlinear conservation laws with moving boundaries often arise in applications such as gas dynamics and more recently in the context of nuclear fusion reactors. Gaining insight into the nature of solutions to such models and their dependence upon design parameters is often done numerically. We use formal asymptotics to study a model of a magnetized target fusion reactor for producing energy. We will asymptotically solve the compressible Euler equations with two free moving boundaries, with an algebraic coupling of fluid pressure at one of the free boundaries. The model consists of an intense pressure being imparted on the boundary of …

Customizing Course Redesign And Flipped Classroom Models To Improve Learning Environment, Taeil Yi, Jerzy Mogilski

School of Mathematical & Statistical Sciences Faculty Publications

This article is about a successful adoption of course redesign model of mathematics courses at the Department of Mathematics in the University of Texas at Brownsville (UTB), a Hispanic serve university in the south Texas. Around 2007 National Center for Academic Transformation (NCAT) recommended six models for using of information technology to redesign courses in mathematics: the supplemental model, the replacement model, the emporium model, the fully online model, the buffet model, and the linked workshop model. Because of the local educational environment and resources none of the six models could be implemented exactly like it was described by NCAT. …

A Direct Demand Model Of Departure Time And Mode For Intercity Passenger Trips, Fatemeh Nazari, Seyedehsan Seyedabrishami, Amir Reza Mamdoohi

Civil Engineering Faculty Publications

Travel demand is well announced as a crucial component of transportation planning. This paper aims to develop a direct demand model, denoting a more acceptable abstraction of reality, for intercity passengers in daily work and leisure trips in Tehran province. The model utilizes combined estimation across the data source, collected in 2011, of travelers originating from the city of Tehran and heading toward two destination clusters: intra-province and inter-province. The paper sketches a way to predict simultaneous choice of departure time and travel mode under the influence of zonal (origin, destination, and residence), individual and household socio-demographic, and trip-related variables. …

Some Results For The Hodge Decomposition Theorem In Euclidean Three-Space, Paul Bracken

School of Mathematical & Statistical Sciences Faculty Publications

The Hodge Decomposition Theorem plays a significant role in the study of partial differential equations. Several interrelated propositions which are required for the proof of the Hodge theorem in Euclidean three-space are introduced and proved in a novel way.

Reactive Nitrogen Species Emission Trends In Three Light-/Medium-Duty United States Fleets, Gary A. Bishop, Donald H. Stedman

Fuel Efficiency Automobile Test Publications

Repeated, fuel specific, emission measurements in Denver (2005/2013), Los Angeles (2008/2013) and Tulsa (2005/2013) provide long-term trends in on-road reactive nitrogen emissions from three light/medium duty U.S. fleets. Reductions in oxides of nitrogen (NO_x) emissions ranged from 21% in Denver (5.6 ± 1.3 to 4.4 ± 0.2 gNO_x/kg of fuel) to 43% in Tulsa (4.4 ± 0.3 to 2.5 ± 0.1 gNOx/kg of fuel) since 2005 while decreases in fleet ammonia (NH₃) emissions ranged from no change in Denver (0.45 ± 0.09 to 0.44 ± 0.02 gNH₃/kg of fuel) since 2005 to …

Buckling Analysis Of Cold-Formed Steel Channel-Section Beams At Elevated Temperatures, Shanshan Cheng, Long Yuan Li, Boksun Kim

School of Engineering, Computing and Mathematics

No abstract provided.

Optimisation Of Traffic Steering For Heterogeneous Mobile Networks, Sandra Frei

School of Engineering, Computing and Mathematics Theses

Mobile networks have changed from circuit switched to IP-based mobile wireless packet switched networks. This paradigm shift led to new possibilities and challenges. The development of new capabilities based on IP-based networks is ongoing and raises new problems that have to be tackled, for example, the heterogeneity of current radio access networks and the wide range of data rates, coupled with user requirements and behaviour. A typical example of this shift is the nature of traffic, which is currently mostly data-based; further, forecasts based on market and usage trends indicate a data traffic increase of nearly 11 times between 2013 …

Engineering Identities: Section Introduction, Mike Murphy, Tony Marjoram

Books/Book chapters

No abstract provided.

Fuel Element Combustion Properties For Live Wildland Utah Shrubs, Thomas H. Fletcher, Chen Shen

Faculty Publications

Current field models for wildfire prediction are mostly based on dry or low-moisture fuel combustion research. To better study the live fuel combustion behavior, a laminar flow flat-flame burner was used to provide a convection heating source to ignite an individual live fuel sample. In this research project, four Utah species were studied: Gambel oak (Quercus gambelii), canyon maple (Acer grandidentatum), big sagebrush (Artemisia tridentata), and Utah juniper (Juniperus osteosperma). Leaf geometrical parameters measured included individual leaf total mass, thickness, leaf width, leaf length, and moisture content. Time-stamped images of combustion behavior along with time-dependent mass data were recorded via …

The Pascal Matrix Function And Its Applications To Bernoulli Numbers And Bernoulli Polynomials And Euler Numbers And Euler Polynomials, Tian-Xiao He, Jeff Liao, Peter Shiue

Scholarship

A Pascal matrix function is introduced by Call and Velleman in [3]. In this paper, we will use the function to give a united approach in the study of Bernoulli numbers and Bernoulli polynomials. Many well-known and new properties of the Bernoulli numbers and polynomials can be established by using the Pascal matrix function. The approach is also applied to the study of Euler numbers and Euler polynomials.

Introducing New Engineering Students To Mechanical Concepts Through An “Energy Cube” Project, Shannon Chance, Micheal O'Flaherty, Fionnuala Farrell, Christopher Montague

Conference papers

The objective of this paper is to describe a problem based learning module, called the “Energy Cube”, offered by Dublin Institute of Technology that is designed to teach mechanical, building services and manufacturing engineering concepts to first year engineering students.

The Energy Cube project gives students hands-on experience in areas ranging from heat transfer, lighting and energy efficiency to industrial and product design. In the Energy Cube, students design and construct (using cardboard, clear plastic, and glue) a model of a building that admits as much daylight as possible while being energy efficient and aesthetically pleasing.

The students, working in …

Official Statistics Data Integration For Enhanced Information Quality, L Dalla Valle, Ron S. Kenett

School of Engineering, Computing and Mathematics

No abstract provided.

Guest Editorial: Characterisation Of Crack Tip Fields, Mn James, L Susmel, F Iacoviello, Y Hong, Ea Patterson, P Lopez-Crespo

School of Engineering, Computing and Mathematics

No abstract provided.

Continuous User Authentication Using Multi-Modal Biometrics, Hataichanok Saevanee, Nathan Clarke, Steven Furnell, Valerio Biscione

School of Engineering, Computing and Mathematics

No abstract provided.

Prioritized Motion–Force Control Of Constrained Fully-Actuated Robots: “Task Space Inverse Dynamics”, A Del Prete, F Nori, G Metta, L Natale

School of Engineering, Computing and Mathematics

We present a new framework for prioritized multi-task motion/force control of fully-actuated robots. This work is established on a careful review and comparison of the state of the art. Some control frameworks are not optimal, that is they do not find the optimal solution for the secondary tasks. Other frameworks are optimal, but they tackle the control problem at kinematic level, hence they neglect the robot dynamics and they do not allow for force control. Still other frameworks are optimal and consider force control, but they are computationally less efficient than ours. Our final claim is that, for fully-actuated robots, …

Online Assessment Of Negotiation Skills Through 3d Role Play Simulation, D Pacella, A Di Ferdinando, E Dell'aquila, D Marocco

School of Engineering, Computing and Mathematics

The lack of standardised technological tools to assess psychological characteristics allows traditional tests to be still widely used, though these tests require double processing and expensive procedures. ENACT is both a serious game for a standardised assessment of the user negotiation skills and an Intelligent Tutoring System, which makes use of the data collected during the interaction in order to generate a tailored environment for the user to experience and improve their skills and be guided through learning.