Browsing Computer Science Masters Theses by Issue Date
Now showing items 41-60 of 89
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An Automated Approach for Discovering Functional Risk-Inducing Flaws in Software Designs
(North Dakota State University, 2015)For safety critical applications, it is necessary to ensure that risk-inducing flaws do not exist in the final product. To date, many risk-based testing techniques were proposed. The majority of these techniques address ... -
Increasing Usability and Accessibility of GIS Technology Through Extension of Existing Software Tools
(North Dakota State University, 2015)As the popularity of Geographic Information System (GIS) technology increases and its use extends from specialized users to the general public, tools available to users must adapt to take these changes into account. Virtual ... -
Scheduling Smart Home Appliances using Goal Programming with Priority
(North Dakota State University, 2016)Driven by the advancement of smart electrical grid technologies, automated home energy management systems are being increasingly and extensively studied, developed, and widely accepted. A system like this is indispensable ... -
Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge
(North Dakota State University, 2016)The problem of inferring novel knowledge from implicit facts by logically connecting independent fragments of literature is known as Literature Based Discovery (LBD). In LBD, to discover hidden links, it is important to ... -
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 ... -
Light Weight Health Application for Low End Cell Phones
(North Dakota State University, 2016)Health applications are usually complicated and low end devices do not benefit from them. The focus of this thesis is on expandable health services platform for low end cell phones. Large number of mobile phones in the ... -
A General Framework for Developing Multi-Surface Environments
(North Dakota State University, 2016)Since multi-touch technique has been used widely for personal device, such as smartphone, personal computer and tabletop, many forms of interaction are developed and served for user’s daily usage. But forms of interaction ... -
Quantifying Relationships Between Two Time Series Data Sets
(North Dakota State University, 2016)One of the popular methods for quantifying the relationship between two time series data sets is canonical correlations; however, it is linear and cannot accommodate more complex scenarios, such as time series data for ... -
Particle Swarm Optimization and Particle Filter Applied to Object Tracking
(North Dakota State University, 2016)The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is ... -
Classifying Gene Coexpression Networks Using Discrimination Pattern Mining
(North Dakota State University, 2016)Several algorithms for graph classi cation have been proposed. Algorithms that map graphs into feature vectors encoding the presence/absence of speci c subgraphs, have shown excellent performance. Most of the existing ... -
Classification of LiDar Data Using Window-Based Techniques
(North Dakota State University, 2016)Given LiDAR maps, we focus on identifying anthropologically relevant ditches automatically on the map. Archeologists can identify these features visually at the site, but approaches based on remotely sensed data would be ... -
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 ... -
Sentiment Analysis and Opinion Mining on Twitter with GMO Keyword
(North Dakota State University, 2016)Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose ... -
Association Rule Mining of Biological Field Data Sets
(North Dakota State University, 2017)Association rule mining is an important data mining technique, yet, its use in association analysis of biological data sets has been limited. This mining technique was applied on two biological data sets, a genome and a ... -
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 ... -
Blood Glucose Prediction Models for Personalized Diabetes Management
(North Dakota State University, 2018)Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be ... -
Pressure-based Authentication: A Secure and Usable Approach
(North Dakota State University, 2018)Due to its invisibility feature, pressure force is useful to enhance the security of authentication, especially preventing shoulder surfing. However, it is challenging to memorize a pressure-based password. This paper ... -
Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks
(North Dakota State University, 2018)Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions ... -
Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks
(North Dakota State University, 2018)A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ... -
A Linear Delay Algorithm for Enumerating All Connected Induced Subgraphs
(North Dakota State University, 2018)Real biological and social data is increasingly being represented as graphs. Pattern-mining-based graph learning and analysis techniques report meaningful biological subnetworks that elucidate important interactions among ...