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Now showing items 11-20 of 24
Real Parameter Optimization Using Differential Evolution
(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 ...
Sentiment Analysis of Global Warming Using Twitter Data
(North Dakota State University, 2018)
Global warming or climate change is one of the most discussed topics of the decade. Some people think global warming is a severe threat to the planet whereas some people think, it is a hoax. The goal of this paper is to ...
Mining Association Rules in Cloud
(North Dakota State University, 2012)
The association rule mining was implemented in Hadoop. An association rule mining helps in finding relation between the items or item sets in the given data. The performance of the algorithm was evaluated by testing it in ...
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 ...
Classification Algorithms Applied to a Brain Computer Interface System Based On P300
(North Dakota State University, 2017)
A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...
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 ...
Mining Communities from Multi-Layered Graphs
(North Dakota State University, 2013)
Identifying communities from networks has been a subject of great interest in Biological and Social network analysis. Finding communities can help with tasks such as identifying and fighting disease. Using graphs to represent ...
Wireless Sensor Network Scheduling and Coverage Using an ABC Algorithm
(North Dakota State University, 2015)
Limited sensor battery capacity is a major issue in wireless sensor networks. If all of the sensors in a network need not be in an awake state to provide adequate coverage at any given time, it is possible to strategically ...
Algorithms for Coverage Improvement in a Sensor Network
(North Dakota State University, 2011)
Sensors are devices which have the ability to receive and respond to a signal. These sensors, when used as a group, form a sensor network. Sensors in a sensor network can communicate and transmit data. In the early stages ...
Shortest Path in a Wireless Sensor Network with Multiple Sensor Failures
(North Dakota State University, 2011)
This paper shows how a shortest path can be obtained in a wireless sensor network, between a source sensor and a destination sensor, in a hop-by-hop fashion, considering multiple sensor failures along the path of data ...