Browsing Computer Science Masters Theses by Title
Now showing items 38-57 of 89
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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 ... -
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 ... -
Identifying & Analyzing Security Vulnerabilities While Integration of Data from Cloud to SQL DBMS An Industrial Case Study
(North Dakota State University, 2020)Data integration defines propulsion of data from numerous sources into a database system in a way that yields the information representing powerful analytics. Various industries are always working towards keeping their ... -
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 ... -
Image Registration and Fusion Application
(North Dakota State University, 2021)Image Registration and Fusion is a process of manipulating two or more input images through a combination of geometric transformation operations and fusion rules to obtain the information from the input images into one ... -
Immune Network Optimization of Composite SaaS for Cloud Computing
(North Dakota State University, 2015)Serving the needs efficiently for a wide gamut of cloud users is a challenge. One way to address this challenge is to decompose SaaS (Software as a Service) into application components and then consider them as loosely ... -
Implementation of Parallel Programming to Improve Transaction Speed and Scalability in Blockchain Systems
(North Dakota State University, 2021)This thesis presents a parallel mining architecture model intended to be used in blockchain systems to improve transaction speed and network scalability while maintaining decentralization. Typical blockchain validation ... -
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 ... -
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 ... -
Injecting Safety-Critical Certification Into Agile Software Methods
(North Dakota State University, 2013)Agility offers an adaptable and changeable environment within software development. The benefits that agile methods provide for software development are becoming an even greater possibility in safety-critical software ... -
Intrusion Detection With an Autoencoder and ANOVA Feature Selector
(North Dakota State University, 2021)Intrusion detection systems are systems that aim at identifying malicious activities or violation of policies in a network. The problem of high dimensionality in intrusion detection systems is a barrier in processing data ... -
An Investigation of Integration and Performance Issues Related to the Use of Extended Page Sizes in Computationally Intensive Applications
(North Dakota State University, 2012)The combination of increasing fabrication density and corresponding decrease in price has resulted in the ability of commodity platforms to support large memory capacities. Processor designers have introduced support for ... -
Investigation of the Effect of the Number of Inspectors on the Software Defect Estimates
(North Dakota State University, 2012)Capture-recapture models help software managers by providing post-inspection defect estimate remaining in a software artifact to determine if a re-inspection in necessary. These estimates are calculated using the number ... -
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 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 ... -
A Linguistic Model for Improving Sentiment Analysis Systems
(North Dakota State University, 2014)The value of automated sentiment analysis systems is increasing with the vast amount of consumer-generated content, allowing researchers to analyze the information readily available on the World Wide Web. Much research has ... -
Mining Approximate Frequent Dense Modules from Multiple Gene Expression Datasets
(North Dakota State University, 2021)Large amount of gene expression data has been collected for various environmental and biological conditions. Extracting dense modules that are recurrent in multiple gene coexpression networks has been shown to be promising ... -
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 ...