A Cellular Automata Hybrid Quasi-random Monte Carlo Simulation for Estimating the One-to-all Reliability of Acyclic Multistate Information Networks

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Yeh, W
dc.contributor.author Cao, L
dc.contributor.author Jin, J
dc.date.accessioned 2014-04-03T01:04:35Z
dc.date.issued 2012-01
dc.identifier.citation International Journal Of Innovative Computing Information And Control, 2012, 8 (3(B)), pp. 2001 - 2014
dc.identifier.issn 1349-4198
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/22011
dc.description.abstract Many real-world systems (such as cellular telephones and ransportation) are acyclic multi-state information networks (AMIN). These networks are composed of multi-state nodes, with different states determined by a set of nodes that receive a signal directly from these multi-state nodes, without satisfying the conservation law. Evaluating the AMIN reliability arises at the design and exploitation stage of many types of technical systems. However, existing analytical methods fail to estimate AMIN reliability in a realistic time frame, even for smaller-sized AMINs. Hence, the main purpose of this article is to present a cellular automata hybrid quasi-Monte Carlo simulation (CA-HMC) by combining cellular automata (CA, to rapidly determine network states), pseudo-random sequences (PRS, to obtain the exibility of the network) and quasi-random sequences (QRS, to improve the accuracy) to obtain a high-quality estimation of AMIN reliability in order to improve the calculation efficiency. We use one benchmark example from well-known algorithms in literature to show the utility and performance of the proposed CA-HMC simulation when evaluating the one-to-all AMIN reliability.
dc.publisher Icic Int
dc.title A Cellular Automata Hybrid Quasi-random Monte Carlo Simulation for Estimating the One-to-all Reliability of Acyclic Multistate Information Networks
dc.type Journal Article
dc.parent International Journal Of Innovative Computing Information And Control
dc.journal.volume 3(B)
dc.journal.volume 8
dc.journal.number 3(B) en_US
dc.publocation Kumamoto en_US
dc.publocation USA
dc.identifier.startpage 2001 en_US
dc.identifier.endpage 2014 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference The 8th IEEE International Conference Advanced Video and Signal-Based Surveillance
dc.for 0906 Electrical and Electronic Engineering
dc.for 0103 Numerical and Computational Mathematics
dc.for 0102 Applied Mathematics
dc.personcode 034535
dc.personcode 106463
dc.percentage 34 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2011-08-30
dc.location.activity en_US
dc.location.activity Klagenfurt, Austria
dc.description.keywords Network reliability, Multi-state node acyclic network (AMIN), Hybrid quasi monte carlo method, Minimal tree/cut en_US
dc.description.keywords procrustes mean shape gait signature description centroid shape configuration
dc.description.keywords Network reliability, Multi-state node acyclic network (AMIN), Hybrid quasi monte carlo method, Minimal tree/cut
dc.description.keywords Network reliability, Multi-state node acyclic network (AMIN), Hybrid quasi monte carlo method, Minimal tree/cut
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


Files in this item

This item appears in the following Collection(s)

Show simple item record