Computer Science: Recent submissions

Now showing items 181-200 of 416

    • Context Specific Module Mining from Multiple Co-Expression Graph 

      Hossain, Md Shakhawat (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 

      Shrestha, Anuj (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 

      Bu, Honggang (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 

      Emamian, Peyman (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 ...

    • Comparison between Symfony, ASP.NET MVC, And Node.js Express for Web Development 

      Mao, Xiaoli (North Dakota State University, 2018)
      Web development technologies have been developing tremendously in recent years. While new technologies such as Node.js come with various frameworks, traditional technologies such as ASP.NET and PHP are also being used with ...

    • Blood Glucose Prediction Models for Personalized Diabetes Management 

      Fernando, Warnakulasuriya Chandima (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 ...

    • Agent Based Modeling for Simulation of Microbial Community 

      Tekeste, Noah Daniel (North Dakota State University, 2018)
      Agent based modeling uses interacting agents and a governing rule to understand a complex phenomenon. It is an important mode of inquiry in the field of life sciences. For this paper a Haploid Evolutionary Constructor (HEC) ...

    • Sentiment Analysis of Global Warming Using Twitter Data 

      Mucha, Nithisha (North Dakota State University, 2018)
      Global warming or climate change is one of the most discussed topics of the decade. Some people think global warming is a severe threat to the planet whereas some people think, it is a hoax. The goal of this paper is to ...

    • Systematic Approaches to Improve Test Case Prioritization Using Requirements and Risks 

      Hettiarachchi, Charitha Sasika (North Dakota State University, 2016)
      The use of system requirements and their risks enables software testers to identify more important test cases that can reveal faults associated with risky components. Having identified important test cases, software testers ...

    • Understanding Human Errors to Improve Requirements Quality 

      Manjunath, Kavitha (North Dakota State University, 2018)
      Requirements engineering is the first and perhaps the most important phase of software life cycle. Software faults committed during the requirements development, if left undetected can affect downstream activities. While ...

    • Effect of Prompting Techniques and Learning Styles on Requirements Elicitation 

      Jan, Bonnie Lynn (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 

      Jha, Kishlay (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 ...

    • Mining Interesting Subnetworks from Graphs with Node Attributes 

      Goparaju, Aditya Praneeth (North Dakota State University, 2018)
      A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ...

    • Classification of LiDar Data Using Window-Based Techniques 

      Li, Shuhang (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 

      Roy, Arighna (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 ...

    • Classifying Gene Coexpression Networks Using Discrimination Pattern Mining 

      Qormosh, Bassam M M (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 ...

    • Analyzing Access Logs Data using Stream Based Architecture 

      Gautam, Nitendra (North Dakota State University, 2018)
      Within the past decades, the enterprise-level IT infrastructure in many businesses have grown from a few to thousands of servers, increasing the digital footprints they produce. These digital footprints include access logs ...

    • A General Framework for Developing Multi-Surface Environments 

      Huang, Zheng (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 ...

    • An Automated Approach for Discovering Functional Risk-Inducing Flaws in Software Designs 

      Hassan, Amro Salem Salem (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 ...

    • Sliding Window Based Technique to Obtain Correlation Between Field Variables 

      Chavan, Harshada Chandrakant (North Dakota State University, 2015)
      In agriculture, finding correlation between field variables such as yield, NDVI, etc. is a classic problem. The most popular solution for finding correlation is to use regression analysis over complete field. In a field, ...