Browsing Computer Science Masters Papers by Title

Now showing items 125-144 of 251

    • An Improved Modular Framework for Developing Multi-Surface Interaction 

      Limke, Jed Patrick (North Dakota State University, 2016)
      Advances in multi-touch capabilities have led to their use in a vast array of devices, but usable interactions that span across devices are less frequently encountered. To address this concern, a framework was created for ...

    • Improving Usability in ‘CIRCLE’ 

      Peruri, Alekya (North Dakota State University, 2016)
      This paper describes how the System Usability Scale (SUS) has helped in improving and making a software tool called the Classification, Identification, and Retrieval-based Collaborative Learning Environment (CIRCLE) more ...

    • The Insurance Manager - Mobile Application 

      Sharma, Aditi (North Dakota State University, 2017)
      People buy several expensive products with the insurance whether it is a Camera, Phone, Television etc. Insurance usually comes with an end date and other important information like: Product Name, Vendor Name, Price of the ...

    • An Interactive System for Cow Herd Performance 

      Hossain, Naqib (North Dakota State University, 2019)
      This paper explores the application-development phases for the Cow Herd Appraisal of Performance System (CHAPS). In 1985, North Dakota State University’s Dickinson Research Extension Center and the North Dakota Beef Cattle ...

    • An Interactive Visualization System for a Multi-Level View of Opinion Mining Results 

      Chitkara, Karan (North Dakota State University, 2014)
      Products are purchased and sold on a daily basis and people tend to critique on products they purchase. Those who want to buy a product will read reviews on that product given by others before buying; likewise those who ...

    • Investigating Super Learner on Healthcare Data Sets 

      Rahman, Humaira (North Dakota State University, 2021)
      In the field of machine learning, classification is the essential task that predicts the target class or label for each sample in the data. Improving the performance of a classification model has been a challenging research ...

    • Investigating the Defect Patterns during the Software Development Projects 

      Poudyal, Abhaya (North Dakota State University, 2014)
      With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects ...

    • Investigating the Use of Model-Based Method for Improving the Quality of Natural Language Requirements: A Controlled Empirical Study 

      Gupta, Munmun (North Dakota State University, 2014)
      Requirement engineering is a critical phase in software development that describes the customer needs and specifications for the software. Requirements are gathered through various sources and documented for a software ...

    • Investigation of Strength Pareto Evolutionary Algorithm 

      Kakarlapudi, Madhumitha (North Dakota State University, 2019)
      The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...

    • ISO Analyzer and Reporting System 

      Yarram, Vishnu Vardhanna Reddy (North Dakota State University, 2013)
      This paper describes the development of a GUI-based application program called the ISO Analyzer and Reporting System. The Independent System Operator (ISO) Analyzer and Reporting System facilitates the study of electricity ...

    • A Java Class Analysis Program Development By ASM Library 

      Qiu, Chengxiang (North Dakota State University, 2017)
      Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ...

    • Job Aggregation Search Engine 

      Sundaram, Anita (North Dakota State University, 2011)
      In this paper we describe the design and implementation of a Job Aggregation Search Engine (JASE) that acts as a one-stop-shop for listing recently posted jobs across top multiple job search engines. There are multiple job ...

    • Job Scheduling with Genetic Algorithm 

      Barat, Debarshi (North Dakota State University, 2013)
      In this paper, we have used a Genetic Algorithm (GA) approach for providing a solution to the Job Scheduling Problem (JSP) of placing 5000 jobs on 806 machines. The GA starts off with a randomly generated population of 100 ...

    • K-Anonymization Implementation Using Apache Spark 

      Tortikar, Pratik (North Dakota State University, 2019)
      This experiment attempts on data which can reveal a person’s identity to anonymize with k-1 anonymity principle. "Given person-specific field-structured data, produce a release of the data with scientific guarantees that ...

    • Kakuro Solver Application 

      Takahashi, Naomi (North Dakota State University, 2010)
      In this paper, the application called KakuroSolver is presented that solves Kakuro, the popular logical puzzle that combines Sudoku and crossword. The application accepts a Kakuro puzzle with any size; it then either ...

    • A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers 

      Bhattacharyya, Krittika (North Dakota State University, 2015)
      Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...

    • Market Basket Analysis Algorithm with MapReduce Using HDFS 

      Nuthalapati, Aditya (North Dakota State University, 2017)
      Market basket analysis techniques are substantially important to every day’s business decision. The traditional single processor and main memory based computing approach is not capable of handling ever increasing large ...

    • Maximizing Sensor Coverage using Displacement to Remove Overlaps 

      Fazal, Kareemullah Khan (North Dakota State University, 2011)
      Sensor networks are wireless networks with small, low-cost sensors which collect and disseminate environmental data. They are used for monitoring and controlling physical environments from remote locations with better ...

    • Mining Association Rules in Cloud 

      Roy, Pallavi (North Dakota State University, 2012)
      The association rule mining was implemented in Hadoop. An association rule mining helps in finding relation between the items or item sets in the given data. The performance of the algorithm was evaluated by testing it in ...

    • Mining Communities from Multi-Layered Graphs 

      Chao, Meng (North Dakota State University, 2013)
      Identifying communities from networks has been a subject of great interest in Biological and Social network analysis. Finding communities can help with tasks such as identifying and fighting disease. Using graphs to represent ...