Now showing items 157-176 of 238

    • Optimization Modeling for Wireless Sensor Scheduling 

      Chekuri, Srujan Kumar Raju (North Dakota State University, 2013)
      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. The efficiency ...
    • Optimization of Benchmark Functions using Chemical Reaction Optimization 

      Dandu, Naveen Kumar (North Dakota State University, 2013)
      In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ...
    • Optimization of Deployments for Service Oriented Clouds 

      Dumpala, Chaitanya (North Dakota State University, 2015)
      In cloud-computing environments, every service in an application is deployed as a different service instance. All service instances are deployed at a different level of end-to-end Quality of Service (QoS), which are described ...
    • Optimizing Incident Management Strategies Using Simulation 

      Manori, Anshuman (North Dakota State University, 2010)
      Incidents, pre-programmed or random, are major sources of congestion on urban freeways. With many of urban freeways in the US operating close to capacity, the need to reduce the impact of incident-related congestion has ...
    • Outlier Identification in Sensor Network Clock Synchronization 

      Voorhees, William Davis (North Dakota State University, 2010)
      We first present a survey of clock synchronization research that describes the problem and various challenges to implementing an efficient protocol for clock synchronization in sensor networks. We then present several ...
    • A Package Tracking Application Based On Software Agents 

      Jonnalagadda, Vindhya (North Dakota State University, 2012)
      JADE (Java Agent Development Framework) is a software environment, which is fully developed in the Java language. It supports multi-agent systems using an extensible agent model and predefined program classes. This software ...
    • Parallel Particle Swarm Optimization 

      Manne, Priyanka (North Dakota State University, 2016)
      PSO is a population based evolutionary algorithm and is motivated from the simulation of social behavior, which differs from the natural selection scheme of genetic algorithms. It is an optimization technique based on swarm ...
    • Parallelization of Generic PSO Java Code Using MPJExpress 

      Madamanchi, Manoj Babu (North Dakota State University, 2013)
      Many scientific, engineering and economic problems involve the optimization of a set of parameters. The Particle Swarm Optimization (PSO) is one of the new techniques that have been empirically shown to perform well. The ...
    • Parallelization of Particle Swarm Optimization Algorithm Using Hadoop Mapreduce 

      Ghosh, Priyanka Singh (North Dakota State University, 2016)
      Particle Swarm Optimization (PSO) has received attention in many research fields and real-world applications for solving optimization problems in the areas of intelligent transportation systems, wireless sensor networks, ...
    • Particle Swarm Optimization Algorithm: Variants and Comparisons 

      Mattaparthi, Sowjanya (North Dakota State University, 2015)
      Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers and various applications presented using the algorithm. ...
    • Perception about GMOs between the USA and Europe through Twitter 

      Chang, Feng (North Dakota State University, 2017)
      Twitter is one of the most popular social networking and microblogging services in the internet world. By the end of Jan 24, 2017, there were at least 100 million active users daily around the world. Due to such a huge ...
    • Perceptions of Genetically Modified Foods by Gender 

      Lu, Yang (North Dakota State University, 2016)
      Twitter is one of the most popular worldwide social networking services. It has more than 320 million monthly active users around the world. So it’s a very good way to discover what’s happening in the world and we can even ...
    • Performance Comparison of Apache Spark MLlib 

      Sharma, Pallavi (North Dakota State University, 2018)
      This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...
    • 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 ...