Paper Info
Title
GVM based intuitive simulation web application for collision detection.
Abstract
Computer simulation, which has been proved to be an effective approach to problem solving, is nowadays widely used in modern science. However, it requires a lot of computing resources, which are difficult for general users to acquire. In this paper, we design a Web based system to implement on-line simulation system for ordinary users. As a useful example, the simulation of one type of collision detection model is presented in this paper. Moreover, the software application of simulation is offered as a service on Web. Meanwhile, the incorporation of general vector machine (GVM, a type of neural network) to intelligently predict the relationship between simulation parameters and computation resources is presented, which could further provide more information for system monitoring and scheduling. The system has demonstrated efficiency and intuitiveness for users of this type of applications.
Year
DOI
Venue
2018
10.1016/j.neucom.2017.05.107
Neurocomputing
Keywords
Field
DocType
Computer simulation,Web,Collision detection,GVM
Scheduling (computing),Theoretical computer science,System monitoring,Software,Artificial intelligence,Web application,Artificial neural network,Computation,Distributed computing,Collision detection,Support vector machine,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
279
0925-2312
0
PageRank 
References 
Authors
0.34
11
6
Name
Order
Citations
PageRank
Binbin Yong1215.23
Jun Shen223440.40
Zebang Shen3179.36
Huaming Chen4258.32
Xin Wang5587177.85
Qingguo Zhou610329.48