Now showing items 166-185 of 256

    • Object Classification Using Stacked Autoencoder and Convolutional Neural Network 

      Gottimukkula, Vijaya Chander Rao (North Dakota State University, 2016)
      In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ...
    • Online Defect Tracking System 

      Soni, Gaurav (North Dakota State University, 2017)
      For Improving Software Reliability, Defect Tracking System (DTS) gives the facility to define the tasks and allow the managers to track the Defects and time spent by each employee for that particular task. This tool can ...
    • Online Shopping Cart Application 

      Gupta, Swati (North Dakota State University, 2013)
      Electronic commerce, also known as ecommerce is a type of industry where buying and selling of a product is conducted over electronic systems such as the internet. The purpose of this application is to bring knowledge to ...
    • Optimal Placement of Relay Stations in Wireless Sensor Networks 

      Vallabh, Kiran Kumar (North Dakota State University, 2013)
      Wireless sensor networks (WSNs) are a collection of nodes organized into a cooperative network with sensing, processing and transmitting capabilities. WSNs are becoming an increasingly prominent technology that can be used ...
    • Optimization and Heuristic Facility Location Algorithms for the Smart Grid 

      Kaparthi, Nikhitha (North Dakota State University, 2013)
      One of the most crucial aspects in maintaining a smart grid Network is to monitor its stability, control and minimize the outages, blackouts etc. which can be achieved by Phasor Measurement Units (PMUs). Despite having a ...
    • 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 ...