Now showing items 181-200 of 251

    • A Petri Net Based Simulation for Multiple Unmanned Aerial Vehicles 

      Mehta, Puneet (North Dakota State University, 2019)
      Nowadays more and more Unmanned Aerial Vehicles (UAVs) are being mass produced and are being used for a lot of activities like exploring never before explored areas of the world, recreational work, rescue missions etc. In ...
    • Petri Net Model for Smart Grid System 

      Pandey, Anand Swaroop (North Dakota State University, 2014)
      The concept of a smart grid is to provide self-healing, reliable, economic, and environment friendly energy-saving, sustainable electricity services to the users including the freedom to choose and set priorities according ...
    • Positioning of Relay Stations in Wireless Sensor Networks 

      Koganti, Nikhil (North Dakota State University, 2011)
      A sensor is a device which can detect or measure a physical property and which records, indicates, or otherwise responds to the signal received. A wireless sensor in a network can communicate with the sensors located within ...
    • Power Consumption for iOS 

      Kwete, Yannick Mingashanga (North Dakota State University, 2014)
      The shift from traditional software development for personal computers to mobile applications on iOS comes with new challenges and considerations. Software development teams similar to my work group built expertise in ...
    • Prediction Accuracy of Financial Data - Applying Several Resampling Techniques 

      Ali, Mohammad Reza (North Dakota State University, 2020)
      With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...
    • Prediction of Rental Demand for a Bike-Share Program 

      Nekkanti, Om prakash (North Dakota State University, 2017)
      In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...
    • Predictive Performance Evaluation of Different Neural Networks Using Stock Prices 

      Nyavanandi, Deepika (North Dakota State University, 2019)
      Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial ...
    • Processing Geographic Information Systems Data for Data Mining 

      Ahuja, Sarthak (North Dakota State University, 2013)
      Spatial data, including image data, are typically downloaded into GIS systems for processing purposes. The GIS data are optimized for establishing spatial relationships among objects. Spatial data can be produced rapidly ...
    • Project Quality Tool: A Tool for Project Success 

      Srichinta, Pallavi (North Dakota State University, 2014)
      This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter ...
    • Project Tracker and Organizer 

      Kambhampaty, Krishna Kanth (North Dakota State University, 2015)
      A Project Tracking and Organizer is a software tool which is a simple, fast and an efficient way to assign modules of a project to employees and track the progress of a project. Using this software, project status can be ...
    • Protein Functional Site Prediction Using the Shortest-Path Graph Kernel Method 

      Benaragama Vidanelage, Malinda Vikum Sanjaka (North Dakota State University, 2013)
      Over the past decade Structural Genomics projects have accumulated structural data for over 75,000 proteins, but the function of most of them are unknown due to limitation of laboratory approaches for discovering the ...
    • Protein-Function Prediction Using a Graph-Matching Algorithm 

      Shrestha, Sarjan (North Dakota State University, 2014)
      Proteins are the basic building blocks for biological life. Proteins interact with other proteins or molecules to carry out various functions. The active region in the protein molecule is the functional site. Today, most ...
    • Real Parameter Optimization Using Differential Evolution 

      Dawar, Deepak (North Dakota State University, 2013)
      Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...
    • A Realistic and Reliable Approach for Real Time Monitoring of Infrastructure 

      Garg, Rakhen (North Dakota State University, 2020)
      Rapid advancements in the field of site reliability engineering in the past few decades have made it an indispensable part of how humans create scalable and highly reliable software systems. The inherent need of a reliable ...
    • The Realization of Visualization and Prediction Models 

      Wang, Yijun (North Dakota State University, 2015)
      Visualization is a specific technique for building images, animations or diagrams to communicate a message [1]. Nowadays, it effective to communicate both abstract and concrete ideas for big data by visual imagery. ...
    • Recommendation of Business Intelligence Tool 

      Chhina, Ramneet (North Dakota State University, 2016)
      Business Intelligence (BI) is extremely vital for organizations for delivering useful information from the large volumes of data being collected. There are many BI tools available but no single tool is appropriate for every ...
    • Red River Flood Monitor iOS Application 

      Singh, Saumya (North Dakota State University, 2013)
      The Flood Monitor system is designed to help people share photos and information in case of a flood in the basin of the Red River. This work is part of the redesign of an application that has the goal of enabling mobile ...
    • Region Based Data Mining on Agriculture Data 

      Battu, Babitha (North Dakota State University, 2015)
      Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great ...
    • REND: Reliable and Energy-Efficient Node-Disjoint Paths in Wireless Sensor Networks 

      Yanteru, Siva (North Dakota State University, 2010)
      In wireless sensor networks, finding most reliable and most efficient paths between source node and destination node is considered NP hard problem. We can increase reliability by ability to find node-disjoint alternate ...
    • Replication with Incentives in Centralized Peer to Peer Networks 

      Mudgal, Akshay (North Dakota State University, 2013)
      We are living in a digital age in which data production has become so ubiquitous that the demand for sharing will increase as more aspects of life become digital. There are several ways we share data: via websites and ...