Computer Sciences Commons^™

Test Case Generation Using Combinatorial Based Coverage For Rich Web Applications, Chad Maughan

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Web applications are increasingly moving business and processing logic from the server to the browser. Traditional, multiple-page request/response applications are quickly being replaced by single-page applications where complex application logic is downloaded on the initial page load and data is then subsequently fetched asynchronously via the browser's native XMLHttpRequest (XHR) object.

These new generation web applications are called Rich Web Applications (RWA). Frameworks such as the Google Web Toolkit (GWT), and JavaScript model-view-controller (MVC) frameworks such as Backbone.js are facilitating this move. With this migration, testing frameworks need to follow the logic by moving analysis and test generation from the …

Insider Threat Mitigation Models Based On Thresholds And Dependencies, Harini Ragavan

Graduate Theses and Dissertations

Insider threat causes great damage to data in any organization and is considered a serious issue. In spite of the presence of threat prevention mechanisms, sophisticated insiders still continue to attack a database with new techniques. One such technique which remains an advantage for insiders to attack databases is the dependency relationship among data items. This thesis investigates the ways by which an authorized insider detects dependencies in order to perform malicious write operations. The goal is to monitor malicious write operations performed by an insider by taking advantage of dependencies. A term called `threshold' is associated with every data …

Adaptive Re-Segmentation Strategies For Accurate Bright Field Cell Tracking, Nare Hayrapetyan

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Cell migration is central for many fundamental biological processes and development of multi-cellular organisms. The failure of cells to migrate or migration of cells to inappropriate locations during embryo development can result in life threatening consequences such as brain malfunctions. In adults, cell migration plays an important role in wound healing and immune responses. Failure in these processes can have dramatic medical implications and can lead to vascular diseases and tumor formation. Therefore, studying cell migration is critical to helping prevent and cure diseases.

Cell migration is usually studied by observing cells photographed through a microscope at regular time intervals. …

Developing A Simulation Model For Power Demand Control Analysis And Privacy Protection In Smart Grid, Sungchul Lee

UNLV Theses, Dissertations, Professional Papers, and Capstones

With the growing awareness of the need for Smart Grid, various countries are taking initiatives for developing Smart Grid. However, there is limited research on utilizing Smart Grid for Power Demand Control compared to the other areas such as Smart Grid communication network or renewable energy integration. Therefore, this study attempts to help the current Outage Management System by creating a Simulator that allows an intuitive power demand control analysis. Electrical usage is simulated by taking various inputs including the number of houses, family size, work and life patterns, electrical devices, time, etc. For accurate estimate of family and life …

Fast Neural Network Algorithm For Solving Classification Tasks, Noor Albarakati

Theses and Dissertations

Classification is one-out-of several applications in the neural network (NN) world. Multilayer perceptron (MLP) is the common neural network architecture which is used for classification tasks. It is famous for its error back propagation (EBP) algorithm, which opened the new way for solving classification problems given a set of empirical data. In the thesis, we performed experiments by using three different NN structures in order to find the best MLP neural network structure for performing the nonlinear classification of multiclass data sets. A developed learning algorithm used here is the batch EBP algorithm which uses all the data as a …

Traffic Counter Mobile Application, Victor Molano

College of Engineering: Graduate Celebration Programs

INTRODUCTION

Manual Counters:

•The vehicles counts and characteristics at signalized intersections and others transportation facilities are usually made using manual counters. These manual counters are mechanical or digital boards in which the user can record the different observations from the field. The use of these devices is usually required when more sophisticated methods are not available, when expensive equipment is not justified and for scholastic practices.

Node Filtering And Face Routing For Sensor Network, Umang Amatya

College of Engineering: Graduate Celebration Programs

Main Contributions

•Efficient Algorithms for identifying Redundant Sensor Nodes

•New Technique for Filtering Redundant Nodes in Sensor Network

•Reliable Algorithm for Message Routing - Forwarding

•User Friendly Prototype Implementation in Java

•Results of Experimental Investigation

Architecture For An Interactive Motion-Based Traffic Simulation Environment, Romesh Khaddar, Naveen Veeramisti, Alexander Paz, Pushkin Kachroo

College of Engineering: Graduate Celebration Programs

In simple words, the objective of this research is to identify the effect of human behavior on traffic To enhance the traffic simulation modeling realism by involving actual human beings navigating the system along with simulated entities in an immersive environment

Real-Time Face Detection And Recognition, Parker Hill, Brendan Morris

College of Engineering: Graduate Celebration Programs

The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera.

Framework Developmant For Construction Safety Visialization, Kishor Shrestha

College of Engineering: Graduate Celebration Programs

Throughout the history of the construction industry, many fatalities and injuries have occurred in construction sites. One of the major causes of accidents is unsafe site conditions: basically, this is due to inadequate supervision. To improve upon the traditional supervision approach, this study proposes a 'Framework Development for Construction Safety Visualization' approach. In addition to this, a computer vision Edge Detection Algorithm was developed and tested to convert construction site still images into edges of the objects in the images. The framework development of this study uses computer vision, robot vision, image compression, pattern recognition, internet transmission, network communication, and …

Adaptive Image Diffusion In Wavelet Domain, Kumar Mandava

College of Engineering: Graduate Celebration Programs

• Removing noise without sacrificing important structures
• Nonlinear strategies: Wavelet shrinkage and Nonlinear diffusion filtering based on features
• Clustering based wavelet diffusion

Comparative Study Of Various Data Collection Software Used For Seat-Belt Observation Surveys, Atul Sancheti, Puneet Lakhanpal, Sergio Contreras, Pushkin Kachroo, Masha Wilson

College of Engineering: Graduate Celebration Programs

Every year, Click It or Ticket (CIOT) mobilization is held in U.S. which aims at increasing seat-belt usage awareness among the people. Data collection for assessing current seat-belt usage rates and campaign design for influencing mass audience are the two most important components of the mobilization. This paper presents a comparative study of various data collections software used for seat-belt observational surveys. The comparison is based on the speed and accuracy of the data collected from different software at the same locations and at the same time of the day.

College Of Engineering Graduate Celebration 2012 Announcement, University Of Nevada, Las Vegas

College of Engineering: Graduate Celebration Programs

The Howard R. Hughes College of Engineering Graduate Celebration is an event that recognizes the scholarly work of our engineering and computer science graduate students within the college. The target audience includes undergraduate students, graduate students, college faculty and staff, and the campus community as well as local and regional stakeholders. The objective of the event is to promote and publicize the research activities of the College of Engineering and to inform our stakeholders of our students’ achievements.

Design And Construction Of An Entity Resolution System That Supports Entity Identity Information Management And Asserted Resolution, Eric D. Nelson

Theses and Dissertations

This work describes the design and construction of an open source, entity resolution system that enables users to assign and maintain persistent identifiers for master data items. Two key features of this system that are not available in current ER systems and that make persistent identification possible are (1) The capture and management of entity identity information (2) Support for user-directed asserted resolution to complement automated direct matching and transitive closure Another important feature of the design is that the system can be easily configured at run-time into any one of four types of entity resolution architectures including * Traditional …

Contributions To K-Means Clustering And Regression Via Classification Algorithms, Raied Salman

Theses and Dissertations

The dissertation deals with clustering algorithms and transforming regression prob-lems into classification problems. The main contributions of the dissertation are twofold; first, to improve (speed up) the clustering algorithms and second, to develop a strict learn-ing environment for solving regression problems as classification tasks by using support vector machines (SVMs). An extension to the most popular unsupervised clustering meth-od, k-means algorithm, is proposed, dubbed k-means2 (k-means squared) algorithm, appli-cable to ultra large datasets. The main idea is based on using a small portion of the dataset in the first stage of the clustering. Thus, the centers of such a smaller …

Changes To The International Regulatory Environment, Martin Mchugh, Fergal Mccaffery, Valentine Casey

Articles

Since 2010, two significant international regulations regarding medical device development have come into force, the amendment to the European Union (EU) Medical Device Directive (MDD) 2007/47/EC and the United States (US) Food and Drug Administration (FDA) Final rule on Medical Device Data Systems (MDDS). Adherence to these regulations is mandatory to be able to market a medical device in the respective region. The ability to understand these regulations and apply them to a development project can be difficult. The MDDS final rule changes the safety classification of a number of devices from Class III-high risk to Class I-low risk. The …

User Behaviour In The Webpac: Insights From Google Analytics, Yiu On Li, Christopher Chan

Hong Kong Innovative Users Group Meetings

No abstract provided.

Experimental Evaluation Of The Effect Of Queue Management Schemes On The Performance Of High Speed Tcps In 10gbps Network Environment, Lin Xue, Cheng Cui, Suman Kumar, Seung Jong Park

Computer Science Faculty Research & Creative Works

Queue management schemes at the routers and congestion avoidance schemes at the end points cooperate to provide good congestion solutions in computer networks. While queue management schemes are still being developed, research on congestion avoidance has come a long way to serve the bandwidth requirement of the networks (e.g. high-speed networks, data centers, etc.) at the order of 10Gbps. Because of considerable lack on the evaluation research work, there is no consensus on the choice of the queue management algorithms over these networks. To the best of our knowledge, this is the first work that presents experimental evaluation of the …

Designing And Implementing A Platform For Collecting Multi-Modal Data Of Human-Robot Interaction, Brian Vaughan, Jing Guang Han, Emer Kilmartin, Nick Campbell

Articles

This paper details a method of collecting video and audio recordings of people inter- acting with a simple robot interlocutor. The interaction is recorded via a number of cameras and microphones mounted on and around the robot. The system utilised a number of technologies to engage with interlocutors including OpenCV, Python, and Max MSP. Interactions over a three month period were collected at The Science Gallery in Trinity College Dublin. Visitors to the gallery freely engaged with the robot, with interactions on their behalf being spontaneous and non-scripted. The robot dialogue was a set pattern of utterances to engage interlocutors …

Apple Vs. Microsoft: Which One Is Better? A Historical And Technical Comparison Of Two Companies, Philip Thorpe

Senior Seminars

With this paper, the goal is to help define between Apple and Microsoft which one was better. The focus of research started with a brief introduction into the GUI, and how that evolved into what Windows and Apple created. This was broken down into the changes they made in their operating systems, what type of hardware requirements were needed to run the operating systems, how these two companies made changes in comparison or in response to each other, and how much market they share among personal computers and operating systems. With the information provided, an unknown user could make a …

Audio Convolution By The Mean Of Gpu: Cuda And Opencl Implementations, Davide Andrea Mauro

Computer Sciences and Electrical Engineering Faculty Research

This paper focuses on the use of GPGPU (General-Purpose computing on Graphics Processing Units) for audio processing. This is a promising approach to problems where a high parallelization of tasks is desirable. Within the context of binaural spatialization we will develop a convolution engine having in mind both offline and real-time scenarios, and the support for multiple sound sources. Details on implementations and strategies used with both dominant technologies, namely CUDA and OpenCL, will be presented highlighting both advantages and issues. Comparisons between this approach and typical CPU implementations will be presented as well as between frequency (FFT) and time-domain …

Tairo: Trust-Aware Automatic Incremental Routing For Oppnets, Joseph W. Baird

Research and Creative Activities Poster Day

Trust Awareness and Automatic Incremental Routing should be well-suited to Oppnets, due to the central purpose of Oppnets, and due to the way Oppnets grow. We believe that TAIRO can provide trustworthy routing for Oppnets.

Protecting Privacy Of Users' Electronic Health Records With The Abttp Scheme, Raed M. Salih

Research and Creative Activities Poster Day

The digital form of healthcare information is becoming more and more widespread in healthcare information systems, replacing “paper” medical records with Electronic Health Records (EHRs) or Electronic Medical Records.

The use of EHRs has a number of goals: (i) improving safety, quality, and efficiency of healthcare; (ii) reducing healthcare costs; and (iii) enriching healthcare research and public health monitoring.

However, facilitating data exchange via use of patients’ EHRs can increase privacy threats due to easier copying and dissemination of these EHRs among more entities (health insurance companies, federal or state government agencies, and research centers).

Native Cardinality Constraints: More Expressive, More Efficient Constraints, Jordyn C. Maglalang

Honors Projects

Boolean cardinality constraints are commonly translated (encoded) into Boolean CNF, a standard form for Boolean satisfiability problems, which can be solved using a standard SAT solving program. However, cardinality constraints are a simple generalization of clauses, and the complexity entailed by encoding them into CNF can be avoided by reasoning about cardinality constraints natively within a SAT solver. In this work, we compare the performance of two forms of native cardinality constraints against some of the best performing encodings from the literature. We designed a number of experiments, modeling the general use of cardinality constraints including crafted, random and application …

The Design And Implementation Of A Bytecode For Optimization On Heterogeneous Systems, Kerry A. Seitz

Computer Science Honors Theses

As hardware architectures shift towards more heterogeneous platforms with different vari- eties of multi- and many-core processors and graphics processing units (GPUs) by various manufacturers, programmers need a way to write simple and highly optimized code without worrying about the specifics of the underlying hardware. To meet this need, I have designed a virtual machine and bytecode around the goal of optimized execution on highly variable, heterogeneous hardware, instead of having goals such as small bytecodes as was the ob- jective of the Java R Virtual Machine. The approach used here is to combine elements of the Dalvik R virtual …

Defining Industry Expectations And Misconceptions Of Art And Technology Co-Creativity, Vanessa C. Brasfield

Department of Computer Graphics Technology Degree Theses

The primary purpose of this study was to establish whether or not students and industry professionals share the same views about what students should be learning in animation education, what skills are necessary, and whether or not students graduating with a bachelor’s degree would be adequately prepared for an entry level position. To establish where misconceptions lie, surveys were issued to three groups: undergraduate students, post-graduate students, and industry professionals. These surveys were then analyzed using paired t-test for validation and question relevance, and ANOVA models to establish whether or not groups shared viewpoints. These data established significance within the …

Outage Detection Via Real-Time Social Stream Analysis: Leveraging The Power Of Online Complaints, Eriq Augustine, Caitlin Cushing, Alex Dekhtyar, Kevin Mcentee, Kimberly Paterson, Matt Tognetti

Computer Science and Software Engineering

Over the past couple of years, Netflix has significantly expanded its online streaming offerings, which now encompass multiple delivery platforms and thousands of titles available for instant view. This paper documents the design and development of an outage detection system for the online services provided by Netflix. Unlike other internal quality control measures used at Netflix, this system uses only publicly available information: the tweets, or Twitter posts, that mention the word “Netflix,” and has been developed and deployed externally, on servers independent of the Netflix infrastructure. This paper discussed the system and provides assessment of the accuracy of its …

Monte Carlo Simulations Of Electron Scattering Experiments, Alan Russian, Bruno Deharak, Faculty Advisor, Mark Liffiton, Faculty Advisor

John Wesley Powell Student Research Conference

This project aims to look at the impact made by certain approximations in electron scattering experiments—specifically whether accounting for these approximation errors is necessary. When using a moveable gun mount, the interaction volume can be determined using a line and cylinder approximation. Data is presented comparing this approximation to the actual volume computed using a Monte Carlo method. A uniform gas distribution is compared to a cosine-squared distribution gas distribution. Additionally, an energy spectrum of a uniform beam is compared to a Gaussian beam for various polarization angles, and a comparison is made between representing the beam as a cone …

K-8 Preservice Teachers’ Inductive Reasoning In The Problem-Solving Contexts, Marta Magiera

Mathematics, Statistics and Computer Science Faculty Research and Publications

This paper reports the results from an exploratory study of K-8 pre-service teachers’ inductive reasoning. The analysis of 130 written solutions to seven tasks and 77 reflective journals completed by 20 pre-service teachers lead to descriptions of inductive reasoning processes, i.e. specializing, conjecturing, generalizing, and justifying, in the problem-solving contexts. The uncovered characterizations of the four inductive reasoning processes were further used to describe pathways of successful generalizations. The results highlight the importance of specializing and justifying in constructing powerful generalizations. Implications for teacher education are discussed.

Graph Games: Human Computing Games To Solve Graph Problems, Hsiang Lin, Russell Zinn

11th Annual Celebration of Undergraduate Research and Creative Performance (2012)

Graph Games is a collection of games with the purpose of gathering data from player solutions for solving graph-related problems that are difficult for computers to solve efficiently. The data will be used to solve instances of and improve algorithms for various problems on graphs. We made several important improvements to the Graph Games software. Now every move made by the player, including the timing between moves, is stored. The replay system was also improved so that player solutions can be replayed move by move, in real time, or sped up or slowed down. So that players can more easily …