Browsing Computer Science Masters Theses by Title
Now showing items 21-40 of 89
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Comparative Analysis of Interface Usability for Cybersecurity Applications
(North Dakota State University, 2021)In cybersecurity, understanding the technologies and the best ways to interface with them is paramount for staying ahead of growing cyberthreats. Developers of cybersecurity software will benefit greatly from a greater ... -
Context Specific Module Mining from Multiple Co-Expression Graph
(North Dakota State University, 2017)Gene co-expression networks can be used to associate genes of unknown function with biological processes or to find genes in a specific context, environment responsible for a disease. We provide an overview of methods and ... -
A Data Mining Approach for Identifying Pavement Distress Signatures
(North Dakota State University, 2015)This work introduces signature-based data mining of pavement distress data. The goal is to understand the factors that influence pavement distress. The presented approach maintains multiple types of flexible pavement ... -
Data Replication Strategies in Cloud Computing
(North Dakota State University, 2011)Data replication is a widely used technique in various systems. For example, it can be employed in large-scale distributed file systems to increase data availability and system reliability, or it can be used in many network ... -
Deep Learning Applied to Public Company Valuation for Value Investing
(North Dakota State University, 2021)Value investing is an investing approach that seeks to discover and take advantage of price discrepancies between the market price and the actual value of a company (intrinsic value). The purpose of this work is to measure ... -
The Design of Virtual Reality Based Data Visualization and User Interface Design in a Semi-Automated Cyber-Security Research Application
(North Dakota State University, 2019)Virtual Reality is currently an affordable and consumer ready technology used by many in the games and interactive media industry, however unlike the user interface standards in mobile, PCs, and Macs, VR UI design can vary ... -
Development and Validation of a Library for Iterative Window-Based Processing of Geospatial Data
(North Dakota State University, 2021)High-resolution spectral images and digital elevation models are widely available. With this quantity of data, it is imperative to develop fast algorithms to extract information. We present a Python library that implements ... -
Development of an Algorithm for Detection and Recovery of Corruption in Convolutional Neural Networks Data Storage
(North Dakota State University, 2021)Computer vision based applications are commonly utilized in embedded systems. The demand for higher accuracy leads to increased complexity of convolutional neural networks (CNN) and hence, larger storage requirement for ... -
Distance-Aware Relay Placement and Scheduling in Wireless Networks.
(North Dakota State University, 2011)The WiMAX technology and cognitive radio have been active topics in wireless networks. A WiMAX mesh network is able to provide larger wireless coverage, higher network capacity and Non-Line-Of-Sight (NLOS) communications. ... -
A Distributed Power Market for the Smart Grid
(North Dakota State University, 2012)To address the challenges of resource allocation in the Smart Electrical Grid a new power market is proposed. A distributed and autonomous contract net based market system in which participants, represented by the agents, ... -
Dynamic Algorithms for Sensor Scheduling and Adversary Path Prediction
(North Dakota State University, 2010)In this thesis we describe three new dynamic, real time and robust sensor scheduling algorithms for intruder tracking and sensor scheduling. We call them Tactic Association Based Algorithm (TABA), Tactic Case Based ... -
Effect of Prompting Techniques and Learning Styles on Requirements Elicitation
(North Dakota State University, 2016)Research efforts on improving requirements elicitation are focused on developing and validating better techniques for eliciting a comprehensive set of requirements. However, there isn't enough empirical evidence available ... -
Efficient Publish/Subscribe System over Mobile Ad-Hoc Network
(North Dakota State University, 2012)Information dissemination is an important issue for mobile ad-hoc communities. This issue is very challenging due to the dynamic and fragile nature of the mobile ad-hoc networks, in which participants have limited computing ... -
Efficient Regression Testing for Web Applications Using Reusable Constraint Values
(North Dakota State University, 2013)Current web applications offer people easy ways to deploy web sites, and the use of web applications has grown rapidly over the past decades. Companies that provide web applications need frequent regression testing because ... -
Evaluating the Gap Between the Skills and Abilities of Senior Undergraduate Computer Science Students and the Expectations of Industry
(North Dakota State University, 2012)A large emphasis is placed on improving student education. Every year researchers propose new teaching methods and suggest improvements to existing methods. However, recent computer science and software engineering graduates ... -
An Evaluation Framework for Business Intelligence Visualization
(North Dakota State University, 2022)Nowadays, data visualization is becoming an essential part of data analysis. Business Intelligence Visualization (BIV) is a powerful tool that helps modern business flows faster and smoother than ever before. However, ... -
Exploring Frameworks for Rapid Visualization of Viral Proteins Common for a Given Host
(North Dakota State University, 2019)Viruses are unique organisms that lack the protein machinery necessary for its propagation (like polymerase) yet possess other proteins that facilitate its propagation (like host cell anchoring proteins). This study explores ... -
Finding the Most Predictive Data Source in Biological Data
(North Dakota State University, 2013)Classification can be used to predict unknown functions of proteins by using known function information. In some cases, multiple sets of data are available for classification where prediction is only part of the problem, ... -
Frequent Substring-Based Sequence Classification Using Reduced Alphabets
(North Dakota State University, 2011)In recent years, various disciplines have generated large quantities of sequence data which has necessitated automated techniques for classifying these sequences into different categories of interest. Especially with the ... -
The Fusion of Ultrasonic and Spatially Aware System in Mobile - Interaction Device
(North Dakota State University, 2016)Over the past four decades, the prophecy from computer pundits and prognosticators pointed that looming arrival of the paperless office era was coming. However, forty years later, physical paper documents are still playing ...