Scientific Journal Impact Factor (SJIF): 1.711 International Journal of Modern Trends in Engineering and Research www.ijmter.com @IJMTER-2014, All rights Reserved `673 e-ISSN: 2349-9745 p-ISSN: 2393-8161 Conceptual Design of Fuzzy Rule Based Context Aware Meeting Room System Dr.Thyagaraju.GS 1 , Shivakumar C 2 , Nithin 3 1 Associate Professor and HOD, 2, 3 Assistant Professor 1, 3 Department of CSE, 2 Department of CSE/ISE/Mech, 1,2,3 SDMIT (VTU), Ujire, 574240 Abstract-- Due to the exponential growth of wireless network based miniaturized device and sensors, the dream of context aware ubiquitous computing world is becoming realistic. In this ubiquitous world of context aware applications the users can get the information and share the information elsewhere instantaneously. Context aware meeting room is one of the interesting context aware systems where in the meeting of a given set of users will be organized as per the situation of users. In this paper we present the conceptual design and development of service recommendation system for prototypical context aware meeting room using Fuzzy Rules .The proposed recommendation system for context aware meeting room recommends the services by considering the users contextual parameters like role, priority and environmental conditions. The fuzzy rule is constructed using history database and knowledge base of the meeting. General Terms-- Context aware meeting room, Fuzzy Rule, Bluetooth, Participants. I. INTRODUCTION In the current trend of computing technology the context-aware computing is getting more significant attention from researchers as ubiquitous computing environments take into account the overall situation of users, environment and applications. In context aware computing environment, the computing applications will adapt to the situation of users and provide the service as per the requirement of the situation. Context aware ubiquitous computing environment may be associated with single or multiusers. In the context of multiuser environment usually there will be a visible or invisible competition among users for availing one or more multiple services. In such multi-user ubiquitous computing environments, conflicts among user’s contexts need to be detected and suitable service has to be recommended. In the proposed system the design of context aware meeting room (CAMR) system is done to facilitate the system to act autonomously in the way the meeting members desires in single and multiuser environment utilizing the contextual parameters like Personal (Age, Name), Temporal (Time, Date, Season), social (Dean, Principal, Staff, Students) and schedule agendas in addition to the user ratings for the services. The proposed system makes use of simple if then else based fuzzy rules algorithm. The fuzzy rules are framed by utilizing various factors like user’s social, personal and environmental. The motivation behind the proposed work is: i) To automate the meeting activity ii) To improve the meeting participants satisfaction level and iii) To improve the social relationship between meeting participants and meeting room. The motto of this project is to enable context aware applications to offer socialized and personalized services to single and multiple users by recommending the services based on user’s overall context.
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Conceptual Design of Fuzzy Rule Based Context Aware Meeting Room System
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Scientific Journal Impact Factor (SJIF): 1.711
International Journal of Modern Trends in Engineering
and Research www.ijmter.com
@IJMTER-2014, All rights Reserved `673
e-ISSN: 2349-9745
p-ISSN: 2393-8161
Conceptual Design of Fuzzy Rule Based Context
Aware Meeting Room System
Dr.Thyagaraju.GS1, Shivakumar C
2, Nithin
3
1Associate Professor and HOD,
2, 3 Assistant Professor
1, 3 Department of CSE,
2 Department of CSE/ISE/Mech,
1,2,3SDMIT (VTU), Ujire, 574240
Abstract-- Due to the exponential growth of wireless network based miniaturized device and
sensors, the dream of context aware ubiquitous computing world is becoming realistic. In this
ubiquitous world of context aware applications the users can get the information and share the
information elsewhere instantaneously. Context aware meeting room is one of the interesting context
aware systems where in the meeting of a given set of users will be organized as per the situation of
users. In this paper we present the conceptual design and development of service recommendation
system for prototypical context aware meeting room using Fuzzy Rules .The proposed
recommendation system for context aware meeting room recommends the services by considering
the users contextual parameters like role, priority and environmental conditions. The fuzzy rule is
constructed using history database and knowledge base of the meeting.
General Terms-- Context aware meeting room, Fuzzy Rule, Bluetooth, Participants.
I. INTRODUCTION
In the current trend of computing technology the context-aware computing is getting more
significant attention from researchers as ubiquitous computing environments take into account the
overall situation of users, environment and applications. In context aware computing environment,
the computing applications will adapt to the situation of users and provide the service as per the
requirement of the situation. Context aware ubiquitous computing environment may be associated
with single or multiusers. In the context of multiuser environment usually there will be a visible or
invisible competition among users for availing one or more multiple services. In such multi-user
ubiquitous computing environments, conflicts among user’s contexts need to be detected and suitable
service has to be recommended. In the proposed system the design of context aware meeting room
(CAMR) system is done to facilitate the system to act autonomously in the way the meeting
members desires in single and multiuser environment utilizing the contextual parameters like
Personal (Age, Name), Temporal (Time, Date, Season), social (Dean, Principal, Staff, Students) and
schedule agendas in addition to the user ratings for the services. The proposed system makes use of
simple if then else based fuzzy rules algorithm. The fuzzy rules are framed by utilizing various
factors like user’s social, personal and environmental. The motivation behind the proposed work is:
i) To automate the meeting activity ii) To improve the meeting participants satisfaction level and iii)
To improve the social relationship between meeting participants and meeting room. The motto of
this project is to enable context aware applications to offer socialized and personalized services to
single and multiple users by recommending the services based on user’s overall context.
International Journal of Modern Trends in Engineering and Research (IJMTER)
Fig1: Layered Architecture of generic Context Aware System
Fuzzy Rules: The algorithm makes use of predefined fuzzy rules to recommend the services based on
the context of meeting room.Some of the sample fuzzy rules (for college meeting room) used for the
context aware meeting room system in the research work is illustrated in table4.
The fuzzy rule base is a knowledge base containing rules(R), conditions(C) and actions (A). Each
rule is made up ofconditions and actions. If conditions are satisfied then the actions get activated.
The rules are build using fuzzy condition attributes and fuzzy action attributes.
Fitness Degree: The fitness degree FD (Rj) for the Rule Rj is given by the equation [9],
FD(Rj) =
Rj will be recommended only if FD(Rj) ≧τ, where τ is threshold function and its value is user defined. For example, if the user wants at least 2 attributes like participant1 and participant2 has to
be matched for the rule base given in table4, then the threshold value can be adjusted to 2/7.If
suppose no full matching rule is found then the rule whose FD is maximum and greater than the
threshold is selected. If no attributes gets matched then the new rule will be created and default value
gets recommended. The Fuzzy rule based algorithm described above is given as follows :
Algorithm:
S1.Read the Current Context Attributes
S2.for (Ri=1 to Rn )
Determine FD(Ri)
S3.Recommend the Actions Corresponding to the Rule with Maximum FD