A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique

Amir Shirkhodaie, Vinayak Elangovan, Amjad Alkilani, Mohammad Habibi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents an ongoing effort towards development of an intelligent Decision-Support System (iDSS) for fusion of information from multiple sources consisting of data from hard (physical sensors) and soft (textural sources. Primarily, this paper defines taxonomy of decision support systems for latent semantic data mining from heterogeneous data sources. A Probabilistic Latent Semantic Analysis (PLSA) approach is proposed for latent semantic concepts search from heterogeneous data sources. An architectural model for generating semantic annotation of multi-modality sensors in a modified Transducer Markup Language (TML) is described. A method for TML messages fusion is discussed for alignment and integration of spatiotemporally correlated and associated physical sensory observations. Lastly, the experimental results which exploit fusion of soft/hard sensor sources with support of iDSS are discussed.

Original languageEnglish (US)
Title of host publicationNext-Generation Analyst
DOIs
StatePublished - Aug 12 2013
EventNext-Generation Analyst - Baltimore, MD, United States
Duration: Apr 29 2013Apr 30 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8758
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherNext-Generation Analyst
CountryUnited States
CityBaltimore, MD
Period4/29/134/30/13

Fingerprint

decision support systems
Soft Sensor
Latent Semantic Analysis
semantics
Decision Support Systems
Decision support systems
Fusion
Fusion reactions
fusion
Semantics
Markup languages
document markup languages
sensors
Sensors
Transducers
Transducer
Sensor
transducers
taxonomy
annotations

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Shirkhodaie, A., Elangovan, V., Alkilani, A., & Habibi, M. (2013). A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique. In Next-Generation Analyst [87580A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8758). https://doi.org/10.1117/12.2019828
Shirkhodaie, Amir ; Elangovan, Vinayak ; Alkilani, Amjad ; Habibi, Mohammad. / A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique. Next-Generation Analyst. 2013. (Proceedings of SPIE - The International Society for Optical Engineering).
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Shirkhodaie, A, Elangovan, V, Alkilani, A & Habibi, M 2013, A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique. in Next-Generation Analyst., 87580A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8758, Next-Generation Analyst, Baltimore, MD, United States, 4/29/13. https://doi.org/10.1117/12.2019828

A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique. / Shirkhodaie, Amir; Elangovan, Vinayak; Alkilani, Amjad; Habibi, Mohammad.

Next-Generation Analyst. 2013. 87580A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8758).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shirkhodaie A, Elangovan V, Alkilani A, Habibi M. A decision support system for fusion of hard and soft sensor information based on probabilistic latent semantic analysis technique. In Next-Generation Analyst. 2013. 87580A. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2019828