Browsing Computer Science by Title
Now showing items 265-284 of 405
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Object Classification Using Stacked Autoencoder and Convolutional Neural Network
(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, ... -
On the Applicability of Deep Metric Learning to Address Source Code Authorship Attribution Problem under Simulated Real-world Constraints
(North Dakota State University, 2020)Source code authorship attribution is a widely studied research topic in the information security domain. In this dissertation, we develop and evaluate models that enable us to solve source code authorship attribution using ... -
Online Defect Tracking System
(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
(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
(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
(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
(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
(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
(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 ... -
Optimization of Mobile Sensor Movement in Self-Healing Sensor Networks
(North Dakota State University, 2010)This paper moves forward the key idea as proposed in past research works - a self-healing deployment approach for sensor networks, where a small percentage of mobile sensors are deployed along with the static sensors into ... -
Optimizing Incident Management Strategies Using Simulation
(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
(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
(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
(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
(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
(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
(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. ... -
Particle Swarm Optimization and Particle Filter Applied to Object Tracking
(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
(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 ... -
Pattern Recognition and Quantifying Associations Within Entities of Data Driven Systems for Improving Model Interpretability
(North Dakota State University, 2022)Discovering associations among entities of a system plays an important role in data science. The majority of the data science related problems have become heavily dependent on Machine Learning (ML) since the rise of ...