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    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-11051-2_1

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Context awareness computing in smart spaces using stochastic analysis of sensor data

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

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Standard

Context awareness computing in smart spaces using stochastic analysis of sensor data. / Lee, J.W.; Helal, Sumi.
Intelligent Human Systems Integration 2019. IHSI 2019. ed. / W. Karwowski; T. Ahram. Cham: Springer-Verlag, 2019. p. 3-9 ( Advances in Intelligent Systems and Computing; Vol. 903).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Lee, JW & Helal, S 2019, Context awareness computing in smart spaces using stochastic analysis of sensor data. in W Karwowski & T Ahram (eds), Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol. 903, Springer-Verlag, Cham, pp. 3-9. https://doi.org/10.1007/978-3-030-11051-2_1

APA

Lee, J. W., & Helal, S. (2019). Context awareness computing in smart spaces using stochastic analysis of sensor data. In W. Karwowski, & T. Ahram (Eds.), Intelligent Human Systems Integration 2019. IHSI 2019 (pp. 3-9). ( Advances in Intelligent Systems and Computing; Vol. 903). Springer-Verlag. https://doi.org/10.1007/978-3-030-11051-2_1

Vancouver

Lee JW, Helal S. Context awareness computing in smart spaces using stochastic analysis of sensor data. In Karwowski W, Ahram T, editors, Intelligent Human Systems Integration 2019. IHSI 2019. Cham: Springer-Verlag. 2019. p. 3-9. ( Advances in Intelligent Systems and Computing). Epub 2019 Jan 6. doi: 10.1007/978-3-030-11051-2_1

Author

Lee, J.W. ; Helal, Sumi. / Context awareness computing in smart spaces using stochastic analysis of sensor data. Intelligent Human Systems Integration 2019. IHSI 2019. editor / W. Karwowski ; T. Ahram. Cham : Springer-Verlag, 2019. pp. 3-9 ( Advances in Intelligent Systems and Computing).

Bibtex

@inbook{f382c63e874e4196a6551f7342e28170,
title = "Context awareness computing in smart spaces using stochastic analysis of sensor data",
abstract = "In building a smart space, it becomes more critical to develop a recognition system which enables to be aware of contexts, since the appropriate services can be provided under the accurate recognition. As services satisfying for desires of individual human residents are more demanding, the necessity for more sophisticated recognition algorithms is increasing. This paper proposes an approach to discover the current context by stochastically analyzing data obtained from sensors deployed in the smart space. The approach proceeds in two phases, which is to build context models and to find one context model matching the current state space, however we mainly focus on the phase building context models. Experimental validation supports the approach and approved validity.",
keywords = "Conditional probability table, Context awareness computing, K-means clustering, Principal component analysis, Sensors, Smart spaces, Integration, Intelligent systems, Stochastic systems, Conditional probability tables, Context- awareness, Experimental validations, K - means clustering, Recognition algorithm, Recognition systems, Smart space, Stochastic analysis",
author = "J.W. Lee and Sumi Helal",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-11051-2_1",
year = "2019",
doi = "10.1007/978-3-030-11051-2_1",
language = "English",
isbn = "9783030110505 ",
series = " Advances in Intelligent Systems and Computing",
publisher = "Springer-Verlag",
pages = "3--9",
editor = "W. Karwowski and T. Ahram",
booktitle = "Intelligent Human Systems Integration 2019. IHSI 2019",

}

RIS

TY - CHAP

T1 - Context awareness computing in smart spaces using stochastic analysis of sensor data

AU - Lee, J.W.

AU - Helal, Sumi

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-11051-2_1

PY - 2019

Y1 - 2019

N2 - In building a smart space, it becomes more critical to develop a recognition system which enables to be aware of contexts, since the appropriate services can be provided under the accurate recognition. As services satisfying for desires of individual human residents are more demanding, the necessity for more sophisticated recognition algorithms is increasing. This paper proposes an approach to discover the current context by stochastically analyzing data obtained from sensors deployed in the smart space. The approach proceeds in two phases, which is to build context models and to find one context model matching the current state space, however we mainly focus on the phase building context models. Experimental validation supports the approach and approved validity.

AB - In building a smart space, it becomes more critical to develop a recognition system which enables to be aware of contexts, since the appropriate services can be provided under the accurate recognition. As services satisfying for desires of individual human residents are more demanding, the necessity for more sophisticated recognition algorithms is increasing. This paper proposes an approach to discover the current context by stochastically analyzing data obtained from sensors deployed in the smart space. The approach proceeds in two phases, which is to build context models and to find one context model matching the current state space, however we mainly focus on the phase building context models. Experimental validation supports the approach and approved validity.

KW - Conditional probability table

KW - Context awareness computing

KW - K-means clustering

KW - Principal component analysis

KW - Sensors

KW - Smart spaces

KW - Integration

KW - Intelligent systems

KW - Stochastic systems

KW - Conditional probability tables

KW - Context- awareness

KW - Experimental validations

KW - K - means clustering

KW - Recognition algorithm

KW - Recognition systems

KW - Smart space

KW - Stochastic analysis

U2 - 10.1007/978-3-030-11051-2_1

DO - 10.1007/978-3-030-11051-2_1

M3 - Chapter (peer-reviewed)

SN - 9783030110505

T3 - Advances in Intelligent Systems and Computing

SP - 3

EP - 9

BT - Intelligent Human Systems Integration 2019. IHSI 2019

A2 - Karwowski, W.

A2 - Ahram, T.

PB - Springer-Verlag

CY - Cham

ER -