Now showing items 167-186 of 404

    • 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 ...
    • Genetic Search for Multi School Routing 

      Ganesan, Arjun Sivaram Kumar (North Dakota State University, 2011)
      In genetic search for multi school routing, a set of commonly shared school buses and vans with capacity, travel speed and travel time limitations are used to service students from their pick up locations to their ...
    • Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation 

      Kasam, Shashi Kanth (North Dakota State University, 2016)
      Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter ...
    • GPU Enabled Particle Swarm Optimization 

      Killada, Bala Venkata Rama Kishore (North Dakota State University, 2017)
      GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...
    • Graduate School Application Archive System (GSAAS) 

      Fazal, Nazeer Ahmed Khan (North Dakota State University, 2011)
      The advent of using web applications has dramatically changed the way people access data and understand these concepts. Users have expressed problems involved with accessing the data in an easy and effective way with ...
    • Graduate Student Progress Tracking System 

      Thalloji, Pramodh Kumar (North Dakota State University, 2010)
      In this paper, I propose and implement an application to track the graduate student progress in various Computer Science and Software Engineering graduate programs. This application will provide lists of students who in ...
    • Graph Data Conversion and Tree Visualization 

      Guduru, Srinivas (North Dakota State University, 2011)
      The first part of the paper is converting graph data format from GXL to GraphML. GXL and GraphML are both XML-based languages for representing graph data. The HP page segmentation tool produces output graph data in GXL ...
    • Graph Visualization Using the NoSQL Database 

      Joshi, Kailash Raj (North Dakota State University, 2013)
      The relational database has been a dominant approach for organizing data into formally organized tables for years. Recently, with massive amounts of data being generated, a new type of database called NoSQL has emerged. ...
    • Graphical Simulation for Unmanned Aerial Vehicle Mission 

      Gebremariam, Alemayehu (North Dakota State University, 2014)
      Unmanned Aerial Vehicles (UAVs) are automated flying planes currently focused on military and civilian applications. This work simulates the motion of UAV in the battlefield environment; making use of the theoretical ...
    • The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks 

      Pachva, Srikar (North Dakota State University, 2011)
      Wireless Sensor Networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. Efficiency of ...
    • Harnessing User Generated Multimedia Content in the Creation of Collaborative Classification Structures and Retrieval Learning Games 

      Borchert, Otto Jerome (North Dakota State University, 2015)
      This paper describes a software tool to assist groups of people in the classification and identification of real world objects called the Classification, Identification, and Retrieval-based Collaborative Learning Environment ...
    • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

      Li, Xin (North Dakota State University, 2018)
      Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ...
    • Heuristic Clustering with Secured Routing in Two Tier Sensor Networks 

      Gagneja, Kanwalinderjit Kaur (North Dakota State University, 2013)
      This study addresses the management of Heterogeneous Sensor Networks (HSNs) in an area of interest. The use of sensors in our day-to-day life has increased dramatically, and in ten to fifteen years the sensor nodes may ...
    • Historical Analysis and Estimation Tool for Energy Trading 

      Sambaraju, Sharath Chandra (North Dakota State University, 2014)
      Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree ...
    • Identifying & Analyzing Security Vulnerabilities While Integration of Data from Cloud to SQL DBMS An Industrial Case Study 

      Kaur, Simranjit (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 Classification Using Transfer Learning and Convolution Neural Networks 

      Burugupalli, Mohan (North Dakota State University, 2020)
      In the recent years, deep learning has shown to have a formidable impact on image classification and has bolstered the advances in machine learning research. The scope of image recognition is going to bring big changes in ...
    • Image Correction using Reed Muller Code 

      Ginjupalli, Siva Krishna (North Dakota State University, 2013)
      Image signal processing is one of the important aspects while communicating from long distances. Background noise of images is one of the primary concerns in obtaining clear accurate images. This problem is further amplified ...
    • Image Processing for White Line Detection in a Grassy Field 

      Murad, Rodi (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 

      Singh, Shreya (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 

      Bauer, Kevin Kaatz (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 ...