Browsing Computer Science by Title
Now showing items 277-296 of 405
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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 ... -
Perception about GMOs between the USA and Europe through Twitter
(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
(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
(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
(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
(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 ... -
POMDP Planning in Service Composition
(North Dakota State University, 2011)Automated vVeb service composition is becoming an increasingly important research topic. It describes the automatic process of composing atomic services into a chain of services that provide a specific functionality that ... -
Positioning of Relay Stations in Wireless Sensor Networks
(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 ... -
Post-Deployment Key Management in Heterogeneous Wireless Sensor Networks
(North Dakota State University, 2010)Many wireless sensor network applications require secure communication between nodes in the network. However, establishing pair-wise keys between nodes to provide security is challenging due to the limited resources in ... -
Power Consumption for iOS
(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
(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
(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
(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 ...