Skip to main navigation Skip to search Skip to main content

DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments

  • Kurt Derr
  • , Milos Manic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Time and location data play a very significant role in a variety of factory automation scenarios, such as automated vehicles and robots, their navigation, tracking, and monitoring, to services of optimization and security. Pervasive wireless capabilities combined with time and location information are enabling new applications in areas such as transportation systems, health care, elder care, military, emergency response, critical infrastructure, and law enforcement. A wireless object in proximity to some area for a duration of time may pose a risk hazard to the environment. This paper presents a novel fuzzy based spatio-temporal risk calculation DSTiPE method that a wireless object may present to the environment. The presentedMatlab based application for cluster extraction is verified on a diagonal vehicle movement example.

Original languageEnglish
Title of host publicationProceedings of the 13th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2008
Pages1161-1164
Number of pages4
DOIs
StatePublished - 2008
Event13th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2008 - Hamburg, Germany
Duration: Sep 15 2008Sep 18 2008

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Conference

Conference13th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2008
Country/TerritoryGermany
CityHamburg
Period09/15/0809/18/08

Fingerprint

Dive into the research topics of 'DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments'. Together they form a unique fingerprint.

Cite this