Computer Science: Recent submissions

Now showing items 221-240 of 409

    • Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression 

      Depa, Amarender Reddy (North Dakota State University, 2017)
      Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ...

    • 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 ...

    • Chemical Compound Classification Ensemble 

      Zhu, Ya (North Dakota State University, 2013)
      In the research of health science, scientists often need to screen numerous chemical compounds to find drugs that can treat a disease. The process of testing the functionality of these compounds in the laboratory is very ...

    • Injecting Safety-Critical Certification Into Agile Software Methods 

      Minot, Scott James (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 ...

    • Vector-Vector Patterns for Agricultural Data 

      Momsen, Eric (North Dakota State University, 2013)
      Agriculture is increasingly driven by massive data, and some challenges are not covered by existing statistics, machine learning, or data mining techniques. Many crops are characterized not only by yield but also by quality ...

    • Usability Construct for Mobile Applications: A Clustering based Approach 

      Kotala, Pratap (North Dakota State University, 2015)
      The growth of mobile applications that run on cell phones and other handheld devices has introduced a broad range of usability challenges that were not faced by the web and standalone PC environments. The current usability ...

    • A Distributed Linear Programming Model in a Smart Grid 

      Ranganathan, Prakash (North Dakota State University, 2013)
      Advances in computing and communication have resulted in large-scale distributed environments in recent years. They are capable of storing large volumes of data and, often, have multiple compute nodes. However, the inherent ...

    • Mobisurf: Bimanual Inter-Device Interaction 

      Roudaki, Ali (North Dakota State University, 2013)
      A shared interactive display (i.e. tabletop) provides a large space for collaborative interaction. However, it lacks a private area for accessing sensitive information. On the other hand, a mobile device offers a variety ...

    • Spatially Aware Computing for Natural Interaction 

      Roudaki, Amin (North Dakota State University, 2013)
      Spatial information refers to the location of an object in a physical or digital world. Besides, it also includes the relative position of an object related to other objects around it. In this dissertation, three systems ...

    • Model-based Exploratory Testing: A Controlled Experiment 

      Schaefer, Christopher J. (North Dakota State University, 2013)
      Testing methods of software systems have been receiving more and more focus in recent years. Exploratory Testing (ET) is one such testing method. The advantages of ET are generally outweighed by its disadvantages, mainly ...

    • Adaptive Regression Testing Strategies for Cost-Effective Regression Testing 

      Schwartz, Amanda Jo (North Dakota State University, 2013)
      Regression testing is an important but expensive part of the software development life-cycle. Many different techniques have been proposed for reducing the cost of regression testing. To date, much research has been performed ...

    • Noise Removal from Attribute-Groups for Classification 

      Kar, Angshu (North Dakota State University, 2013)
      In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ...

    • Mining Semantic Relationships Between Concepts Across Documents Using Wikipedia Knowledge 

      Yan, Peng (North Dakota State University, 2013)
      The ongoing astounding growth of text data has created an enormous need for fast and efficient Text Mining algorithms. However, the sparsity and high dimensionality of text data present great challenges for representing ...

    • A Distributed Power Market for the Smart Grid 

      McCulloch, Ryan James (North Dakota State University, 2012)
      To address the challenges of resource allocation in the Smart Electrical Grid a new power market is proposed. A distributed and autonomous contract net based market system in which participants, represented by the agents, ...

    • An Investigation of Integration and Performance Issues Related to the Use of Extended Page Sizes in Computationally Intensive Applications 

      Piehl, Matthew James (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 ...

    • Evaluating the Gap Between the Skills and Abilities of Senior Undergraduate Computer Science Students and the Expectations of Industry 

      Radermacher, Alex (North Dakota State University, 2012)
      A large emphasis is placed on improving student education. Every year researchers propose new teaching methods and suggest improvements to existing methods. However, recent computer science and software engineering graduates ...

    • Investigation of the Effect of the Number of Inspectors on the Software Defect Estimates 

      Saxena, Kaustubh (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 ...

    • Finding the Most Predictive Data Source in Biological Data 

      Chakraborty, Ushashi (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, ...

    • Adaptive Regression Testing Strategy: An Empirical Study 

      Arafeen, Md. Junaid (North Dakota State University, 2012)
      When software systems evolve, different amounts of code modifications can be involved in different versions. These factors can affect the costs and benefits of regression testing techniques, and thus, there may be no single ...

    • Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications 

      Al-Azzam, Omar Ghazi (North Dakota State University, 2012)
      Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ...