Computer Science Masters Theses: Recent submissions
Now showing items 41-60 of 93
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Vertical Data Structures and Computation of Sliding Window Averages in Two-Dimensional Data
(North Dakota State University, 2020)A vertical-style data structure and operations on data in that structure are explored and tested in the domain of sliding window average algorithms for geographical information systems (GIS) data. The approach allows working ... -
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 ... -
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 ... -
Application of Memory-Based Collaborative Filtering to Predict Fantasy Points of NFL Quarterbacks
(North Dakota State University, 2019)Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender ... -
Image Processing for White Line Detection in a Grassy Field
(North Dakota State University, 2019)Image processing for object detection and decision making based on the observed remains a challenge today. As participants in the Intelligent Ground Vehicle Competition in 2018 and 2019, we were tasked to build an autonomous ... -
Software Metrics Tool
(North Dakota State University, 2018)In the current world software applications are becoming more important with each passing day. They are present in all walks of life and it’s difficult to imagine a world without them. It’s a part of every known industry ... -
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 ... -
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 ... -
In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark
(North Dakota State University, 2018)Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...