Browsing Computer Science Masters Theses by Title

Now showing items 67-86 of 89

    • Particle Swarm Optimization and Particle Filter Applied to Object Tracking 

      Xia, Gongyi (North Dakota State University, 2016)
      The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is ...

    • Path Planning under Failures in Wireless Sensor Networks 

      Paturu Raghunatha Rao, Nityananda Suresh (North Dakota State University, 2013)
      This paper explores how an all pair shortest path can be obtained in a wireless sensor network when sensors fail. Sensors are randomly deployed in a predefined geographical area, simulating the deployment of sensors from ...

    • POMDP Planning in Service Composition 

      Min, Chen (North Dakota State University, 2011)
      Automated vVeb service composition is becoming an increasingly important research topic. It describes the automatic process of composing atomic services into a chain of services that provide a specific functionality that ...

    • Post-Deployment Key Management in Heterogeneous Wireless Sensor Networks 

      Loree, Paul Edward (North Dakota State University, 2010)
      Many wireless sensor network applications require secure communication between nodes in the network. However, establishing pair-wise keys between nodes to provide security is challenging due to the limited resources in ...

    • Pressure-based Authentication: A Secure and Usable Approach 

      Meng, Zhangyu (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 ...

    • 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 ...

    • Recommending Whom to Follow on GitHub 

      Sarwar, Muhammad Usman (North Dakota State University, 2021)
      Social networking activities on GitHub allow the construction of interesting interaction networks. One such network is `follow-network' which enables an effective information dissemination process. As a result, GitHub users ...

    • Recruiting Through Identification: Identification Strategies and Tactics Used in External Higher Education Strategic Communication 

      Anderson, Dana Raye (North Dakota State University, 2010)
      This exploratory study examines higher education strategic communication for identification inducement strategies and tactics using Cheney's (1983) typology as a guiding framework. The study also explores the differences ...

    • Resource and Bandwidth Allocation in Hybrid Wireless Mobile Networks 

      Bengfort, Benjamin John (North Dakota State University, 2010)
      In the lead up to the implementation of 802.16 and 4G wireless networks, there have been many proposals for addition of multi-hop MANET zones or relay stations in order to cut the cost of building a new backbone ...

    • A Restful Architecture for Multiuser Virtual Environments and Simulations 

      Kariluoma, Matti (North Dakota State University, 2014)
      JavaMOO is an architecture for creating multiuser virtual environments using the MUD (Multi-User Dungeon) and MOO (MUD Object Oriented) design patterns (rooms and objects in the rooms, including \exit" objects that lead ...

    • ReviewMiner: An Unsupervised Method of Aspect Extraction and Aspect Rating from Product Reviews 

      Dutta, Anubrata (North Dakota State University, 2013)
      One major piece of information available on the web is reviews about various products that are written by users. Some commercial websites provide additional information about the products along with the reviews. However, ...

    • Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks 

      El Radie, Eihab Salah (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 ...

    • 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 ...

    • Sentiment Analysis and Opinion Mining on Twitter with GMO Keyword 

      Li, Hanzhe (North Dakota State University, 2016)
      Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose ...

    • Sentiment Analysis of COVID-19 Vaccination Impact on Twitter Tweets Using NLP Supervised Learning and RNN Classification Comparison 

      Ahmed, Tanvir (North Dakota State University, 2022)
      Twitter provides a platform for exchanging information and opinions on global concerns like the COVID-19 epidemic. During the COVID-19 pandemic, we used a collection of around 16,180 tweets to derive inferences regarding ...

    • 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, ...

    • Smart Grid Optimization Using a Capacitated Transshipment Problem Solver 

      Lampl, Damian (North Dakota State University, 2013)
      A network flow model known as the capacitated transshipment problem, or CTP, can represent key aspects of a smart grid test network with the goal of finding minimum cost electric power flows using multiple different cost ...

    • Software Metrics Tool 

      Singh, Rajat (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 ...

    • Training Set Selection to Improve Crop Classification 

      Christeson, Eric John (North Dakota State University, 2015)
      In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, ...

    • Uses and Gratifications of Amputees' Online Social Networks 

      Frohlich, Dennis Owen (2011)
      The following thesis examined amputee support groups on Facebook. Having an 111 amputation can be a life-changing experience. and social support may be necessary to understand one's amputation. Hundreds of amputee groups ...