Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment

The growing number of devices and heterogeneity of systems in intelligent building leads to establish an intelligent interoperability framework among heterogeneous systems in a federated manner. Interoperation complexities are often faced among heterogeneous systems that are data-intensive in nature...

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Main Author:	Soozaei, Ahmad Shahi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Heterogeneous computing Intelligent buildings
Online Access:	http://psasir.upm.edu.my/id/eprint/57120/1/FSKTM%202015%2013RR.pdf
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id	my-upm-ir.57120
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spelling	my-upm-ir.571202017-08-25T03:52:25Z Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment 2015-09 Soozaei, Ahmad Shahi The growing number of devices and heterogeneity of systems in intelligent building leads to establish an intelligent interoperability framework among heterogeneous systems in a federated manner. Interoperation complexities are often faced among heterogeneous systems that are data-intensive in nature. Moreover, automated decision making and communication response time are not efficient due to the heterogeneous systems and high load of receiving events lead to systems faults in terms of conflict occurrences. In typical heterogeneous systems, conflicts could be occurred when more than two events are simultaneously activated. In addition, another challenge in interoperability with growth of devices in intelligent building is a poor performance in intelligent building environment that can be a bottleneck and will limit the performance of an intelligent space as well. In such a case, the model encounter with latency prediction, while the goal of the model is to roughly predict and trigger the activated events in right time. As response to the aforementioned problems, many studies have been carried out in the area of Activities of Daily Lives (ADLs). These studies deal with user preferences and intentions as well as activity recognition which is based on processing data obtained through sensors reading that is needed more investigation in lower layers (e.g. sensor layer) of intelligent building. Nevertheless, most researchers of ADLs did not consider the decision support ability in lower layers of intelligent environment in terms of delay in response time and interoperability. Although there are some recent achievements in lower layers which focused on rule-based system namely Event-Condition-Action (ECA) model by providing mutual interoperation and decision support among heterogeneous systems, it still does not fulfil the requirements in terms of delay in communication response time, automated decision-making without any external intervention, conflict occurrences and minimizing latency prediction. As part of our findings to improve the state of the art in ECA-based model, an effective method based on Naive Bayesian classifier (NB) has been proposed. In addition, to ensure timely automated decision mechanism, achieving sustainability and efficient interoperability among heterogeneous systems, NB model is integrated with weighted priority scheduling and minimizing latency prediction techniques with the availability of dataset from five systems. The proposed approach consists of offline and online phases. In the offline stage, after the preprocessing step, Naive Bayesian model is created. In the online stage, the NB model along with conflict resolution and minimizing latency prediction methods is performed to formulate an efficient interoperability decision model and trigger the related system based on receiving events through the server using the XML SOAP protocol and web services. A comprehensive experimental study is carried out to investigate the effectiveness of interoperability decision model among five available heterogeneous systems. For this purpose, testing of the approach was done in Local Area Network (LAN) setting which interwoven with XML SOAP protocol and web services. Experimental results show a superior effectiveness of proposed approach in comparison with the previous study. Heterogeneous computing Intelligent buildings 2015-09 Thesis http://psasir.upm.edu.my/id/eprint/57120/ http://psasir.upm.edu.my/id/eprint/57120/1/FSKTM%202015%2013RR.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Heterogeneous computing Intelligent buildings
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Heterogeneous computing Intelligent buildings
spellingShingle	Heterogeneous computing Intelligent buildings Soozaei, Ahmad Shahi Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
description	The growing number of devices and heterogeneity of systems in intelligent building leads to establish an intelligent interoperability framework among heterogeneous systems in a federated manner. Interoperation complexities are often faced among heterogeneous systems that are data-intensive in nature. Moreover, automated decision making and communication response time are not efficient due to the heterogeneous systems and high load of receiving events lead to systems faults in terms of conflict occurrences. In typical heterogeneous systems, conflicts could be occurred when more than two events are simultaneously activated. In addition, another challenge in interoperability with growth of devices in intelligent building is a poor performance in intelligent building environment that can be a bottleneck and will limit the performance of an intelligent space as well. In such a case, the model encounter with latency prediction, while the goal of the model is to roughly predict and trigger the activated events in right time. As response to the aforementioned problems, many studies have been carried out in the area of Activities of Daily Lives (ADLs). These studies deal with user preferences and intentions as well as activity recognition which is based on processing data obtained through sensors reading that is needed more investigation in lower layers (e.g. sensor layer) of intelligent building. Nevertheless, most researchers of ADLs did not consider the decision support ability in lower layers of intelligent environment in terms of delay in response time and interoperability. Although there are some recent achievements in lower layers which focused on rule-based system namely Event-Condition-Action (ECA) model by providing mutual interoperation and decision support among heterogeneous systems, it still does not fulfil the requirements in terms of delay in communication response time, automated decision-making without any external intervention, conflict occurrences and minimizing latency prediction. As part of our findings to improve the state of the art in ECA-based model, an effective method based on Naive Bayesian classifier (NB) has been proposed. In addition, to ensure timely automated decision mechanism, achieving sustainability and efficient interoperability among heterogeneous systems, NB model is integrated with weighted priority scheduling and minimizing latency prediction techniques with the availability of dataset from five systems. The proposed approach consists of offline and online phases. In the offline stage, after the preprocessing step, Naive Bayesian model is created. In the online stage, the NB model along with conflict resolution and minimizing latency prediction methods is performed to formulate an efficient interoperability decision model and trigger the related system based on receiving events through the server using the XML SOAP protocol and web services. A comprehensive experimental study is carried out to investigate the effectiveness of interoperability decision model among five available heterogeneous systems. For this purpose, testing of the approach was done in Local Area Network (LAN) setting which interwoven with XML SOAP protocol and web services. Experimental results show a superior effectiveness of proposed approach in comparison with the previous study.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Soozaei, Ahmad Shahi
author_facet	Soozaei, Ahmad Shahi
author_sort	Soozaei, Ahmad Shahi
title	Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
title_short	Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
title_full	Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
title_fullStr	Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
title_full_unstemmed	Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
title_sort	naive bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment
granting_institution	Universiti Putra Malaysia
publishDate	2015
url	http://psasir.upm.edu.my/id/eprint/57120/1/FSKTM%202015%2013RR.pdf
_version_	1747812166326550528

Naive Bayesian decision model for interoperability of heterogeneous systems in an intelligent building environment

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