Physical Sciences and Mathematics Commons^™

A Microscopic Simulation Laboratory For Evaluation Of Off-Street Parking Systems, Yun Yuan

Theses and Dissertations

The parking industry produces an enormous amount of data every day that, properly analyzed, will change the way the industry operates. The collected data form patterns that, in most cases, would allow parking operators and property owners to better understand how to maximize revenue and decrease operating expenses and support the decisions such as how to set specific parking policies (e.g. electrical charging only parking space) to achieve the sustainable and eco-friendly parking.

However, there lacks an intelligent tool to assess the layout design and operational performance of parking lots to reduce the externalities and increase the revenue. To address …

Conversion Of A Simulator Written In C++ To Js And Optimizing The Simulation Parameters Using Evolutionary Algorithms, Venkata Sivasai Pavan Kumar Lottala

Theses and Dissertations

A discrete event simulator written in C++ is converted in to Java Script, that tracks the

blood glucose level of a person in response to a timed sequence of diet and exercise activities. Its

main objective is to capture the average impact of the various diet/exercise activities on the blood

glucose level. The main aim for translation of the code in to Java Script is that the simulator can

be hosted on the Google Firebase Cloud and can be available for the public use. The optimization

of the simulator parameters such as excretionKidney_impact, glut4Impact_,

glycolysisMinImpact_, gngImpact_, peakinsulinLevel_, glycolysisMaxImpact_,

liverGlycogenBreakdownImpact_ and …

Waddle - Always-Canonical Intermediate Representation, Eric Drew Fritz

Theses and Dissertations

Program transformations that are able to rely on the presence of canonical properties of the program undergoing optimization can be written to be more robust and efficient than an equivalent but generalized transformation that also handles non-canonical programs. If a canonical property is required but broken earlier in an earlier transformation, it must be rebuilt (often from scratch). This additional work can be a dominating factor in compilation time when many transformations are applied over large programs. This dissertation introduces a methodology for constructing program transformations so that the program remains in an always-canonical form as the program is mutated, …

Multi-Base Chains For Faster Elliptic Curve Cryptography, Saud Al Musa

Theses and Dissertations

This research addresses a multi-base number system (MBNS) for faster elliptic curve cryptography (ECC). The emphasis is on speeding up the main operation of ECC: scalar multiplication (tP). Mainly, it addresses the two issues of using the MBNS with ECC: deriving optimized formulas and choosing fast methods. To address the first issue, this research studies the optimized formulas (e.g., 3P, 5P) in different elliptic curve coordinate systems over prime and binary fields. For elliptic curves over prime fields, affine Weierstrass, Jacobian Weierstrass, and standard twisted Edwards coordinate systems are reviewed. For binary elliptic curves, affine, Lambda-projective, and twisted mu4-normal coordinate …

3d Shape Descriptor-Based Facial Landmark Detection: A Machine Learning Approach, Reihaneh Rostami

Theses and Dissertations

Facial landmark detection on 3D human faces has had numerous applications in the literature

such as establishing point-to-point correspondence between 3D face models which is itself a

key step for a wide range of applications like 3D face detection and authentication, matching,

reconstruction, and retrieval, to name a few.

Two groups of approaches, namely knowledge-driven and data-driven approaches, have been

employed for facial landmarking in the literature. Knowledge-driven techniques are the

traditional approaches that have been widely used to locate landmarks on human faces. In

these approaches, a user with sucient knowledge and experience usually denes features to

be extracted …

Concurrency Analysis In Javascript Programs Using Arrows, Joshua Cochrane

Theses and Dissertations

Concurrency errors are difficult to detect and correct in asynchronous programs such as those implemented in JavaScript. One reason is that it is often difficult to keep track of which parts of the program may execute in parallel and potentially share resources in unexpected, and perhaps unintended, ways. While programming constructs such as promises can help improve the readability of asynchronous JavaScript programs that were traditionally written using callbacks, there are no static tools to identify asynchronous functions that run in parallel, which may potentially cause concurrency errors.

In this work, we present a solution for implementing JavaScript programs using …

Cost-Effective Load Scheduling For Hybrid Renewable Energy Systems, Avinash Shashikala Rajendra

Theses and Dissertations

Hybrid renewable energy systems offer great promise for the future. However, some lingering concerns regarding stability and cost efficiency still exist. If a private party installs the system and maintains full control, the party may itself alleviate some of these problems by wisely optimizing the benefits offered by the system. One of the ways to do so is to develop a schedule for their load such that the cost incurred is minimized; this is done by maximally utilizing the renewable sources of energy before using the backup options of more conventional energy sources. Creating such a schedule involves considering several …

Online Social Networks’ Investigations Of Individuals’ Healthy And Unhealthy Lifestyle Behaviors And Social Factors Influencing Them —Three Essays, Mahyar Sharif Vaghefi

Theses and Dissertations

More than half of U.S. adults suffer from one or more chronic diseases, which account for 86% of total U.S. healthcare costs. Major contributors to chronic diseases are unhealthy lifestyle behaviors, which include lack of physical activity, poor nutrition, tobacco use, and drinking too much alcohol. A reduction in the prevalence of health-risk behaviors could improve individuals’ longevity and quality of life and may halt the exponential growth of healthcare costs. Prior studies in the field have acknowledged that a comprehensive understanding of health behaviors requires the examination of individual’ behaviors in supra-dyadic social networks. In recent years, the growth …

A Discrete-Event Simulation Approach For Modeling Human Body Glucose Metabolism, Buket Aydas

Theses and Dissertations

This dissertation describes CarbMetSim (Carbohydrate Metabolism Simulator), a discrete-event simulator that tracks the blood glucose level of a person in response to a timed sequence of diet and exercise activities. CarbMetSim implements broader aspects of carbohydrate metabolism in human beings with the objective of capturing the average impact of various diet/exercise activities on the blood glucose level. Key organs (stomach, intestine, portal vein, liver, kidney, muscles, adipose tissue, brain and heart) are implemented to the extent necessary to capture their impact on the production and consumption of glucose. Key metabolic pathways (glucose oxidation, glycolysis and gluconeogenesis) are accounted for by …

Network Analysis Of Scientific Collaboration And Co-Authorship Of The Trifecta Of Malaria, Tuberculosis And Hiv/Aids In Benin., Gbedegnon Roseric Azondekon

Theses and Dissertations

Despite the international mobilization and increase in research funding, Malaria, Tuberculosis and HIV/AIDS are three infectious diseases that have claimed more lives in sub Saharan Africa than any other place in the World. Consortia, research network and research centers both in Africa and around the world team up in a multidisciplinary and transdisciplinary approach to boost efforts to curb these diseases. Despite the progress in research, very little is known about the dynamics of research collaboration in the fight of these Infectious Diseases in Africa resulting in a lack of information on the relationship between African research collaborators. This dissertation …

Selective Compression Of Medical Images Via Intelligent Segmentation And 3d-Spiht Coding, Bohan Fan

Theses and Dissertations

ABSTRACT

SELECTIVE COMPRESSION OF MEDICAL IMAGES VIA INTELLIGENT SEGMENTATION AND 3D-SPIHT CODING

by

Bohan Fan

The University of Wisconsin-Milwaukee, 2018

Under the Supervision of Professor Zeyun Yu

With increasingly high resolutions of 3D volumetric medical images being widely used in clinical patient treatments, efficient image compression techniques have become in great demand due to the cost in storage and time for transmission. While various algorithms are available, the conflicts between high compression rate and the downgraded quality of the images can partially be harmonized by using the region of interest (ROI) coding technique. Instead of compressing the entire image, we …

3d Sem Surface Reconstruction From Multi-View Images, Waleedur Rehman

Theses and Dissertations

The scanning electron microscope (SEM), a promising imaging equipment has been used to determine the surface properties such as compositions or geometries of specimens by achieving increased magnification, contrast, and resolution. SEM micro-graphs, however, remain two-dimensional (2D). The knowledge and information about their three-dimensional (3D) surface structures are critical in many real-world applications. Having 3D surfaces from SEM images provides true anatomic shapes of micro-scale samples which allow for quantitative measurements and informative visualization of the systems being investigated. A novel multi-view approach for reconstruction of SEM images is demonstrated in this research project. This thesis focuses on the 3D …

Exact Sampling And Prefix Distributions, Sebastian Oberhoff

Theses and Dissertations

This thesis explores some new means to generate random numbers without incurring any numerical

inaccuracies along the way. In the context of continuous distributions this leads to the discussion of

prex distributions { discrete distributions that fully capture a continuous distribution by describing

their initial digits. These are rst studied graphically, then analytically, which also leads to a general

examination of the behavior of the distribution of trailing digits of continuous distributions. Finally,

some slightly novel, related results from the theory of computation are presented.

Analysis Of Dynamic Mode Decomposition, Archana Muniraju

Theses and Dissertations

In this master thesis, a study was conducted on a method known as Dynamic mode decomposition(DMD), an equation-free technique which does not require to know the underlying governing equations of the complex data. As a result of massive datasets from various resources, like experiments, simulation, historical records, etc. has led to an increasing demand for an efficient method for data mining and analysis techniques. The main goals of data mining are the description and prediction. Description involves finding patterns in the data and prediction involves predicting the system dynamics. An important aspect when analyzing an algorithm is testing. In this …

Quantitative Phenotype Analysis To Identify, Validate And Compare Rat Disease Models, Yiqing Zhao

Theses and Dissertations

Introduction

The laboratory rat has been widely used as an animal model in biomedical research. There are many strains exhibiting a wide variety of phenotypes. Capturing these phenotypes in a centralized database provides researchers with an easy method for choosing the appropriate strains for their studies. Current resources such as NBRP and PhysGen provided some preliminary work in rat phenotype databases. However, there are drawbacks in both projects: (1) small number of animals (6 rats) used by NBRP; (2) NBRP project is a one-time effort for each strain; (3) PhysGen web interface only enables queries within a single study – …

Three Essays On Trust Mining In Online Social Networks, Gelareh Towhidi

Theses and Dissertations

This dissertation research consists of three essays on studying trust in online social networks. Trust plays a critical role in online social relationships, because of the high levels of risk and uncertainty involved. Guided by relevant social science and computational graph theories, I develop conceptual and predictive models to gain insights into trusting behaviors in online social relationships.

In the first essay, I propose a conceptual model of trust formation in online social networks. This is the first study that integrates the existing graph-based view of trust formation in social networks with socio-psychological theories of trust to provide a richer …

Design And Implementation Of A Domain Specific Language For Deep Learning, Xiao Bing Huang

Theses and Dissertations

\textit {Deep Learning} (DL) has found great success in well-diversified areas such as machine vision, speech recognition, big data analysis, and multimedia understanding recently. However, the existing state-of-the-art DL frameworks, e.g. Caffe2, Theano, TensorFlow, MxNet, Torch7, and CNTK, are programming libraries with fixed user interfaces, internal representations, and execution environments. Modifying the code of DL layers or data structure is very challenging without in-depth understanding of the underlying implementation. The optimization of the code and execution in these tools is often limited and relies on the specific DL computation graph manipulation and scheduling that lack systematic and universal strategies. Furthermore, …