BUKU ABSTRAK - Universiti Putra Malaysia

A Proactive Architecture for Heterogeneous Subsystems Interoperability in
Intelligent Building
Assoc. Prof. Dr. Abd. Rahman Ramli
Thinagaran Perumal, Chui Yew Leong, Rosiah Osman, Khairulmizam Samsudin and Shattri Mansor
Institute of Advanced Technology, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8946 7532; arr@eng.upm.edu.my
Keywords: SOAP, interoperability, intelligent building
Real Time Oil Palm Fruit Grading System
Assoc. Prof. Dr. Abdul Rashid Mohamed Shariff
Meftah Salem M. Alfatni, Osama Mohammed Ben Saeed, Mohd. Zaid Abdullah, Mohd. Hamiruce Marhaban,
Suhaidi Shafie and Mohd. Din Amiruddin
Institute of Advanced Technology, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8946 7543; rashidpls3@gmail.com
Keywords: Grading system, oil palm fruit bunch, external features, real time, FFB
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Science, Technology & Engineering
Managing heterogeneous subsystems in an intelligent building has always been elusive due to lack of
interoperability factor. This is due to the nature of heterogeneous systems in an intelligent building as a distributed
entity that needs a certain degree of interoperability and joint execution of tasks for managing heterogeneous
systems that consist of different platforms and protocols. There is a need for interoperability in an intelligent
building with a bespoke solution that could make the heterogeneous subsystems talk with each other and interoperate
regardless of the operating platform. To solve the interoperability problem, Web Services technology is seen as a
potential solution that could deal with the dynamic environment of an intelligent building. In this invention, we
describe a SOAP-based proactive architecture for managing heterogeneous subsystems in an intelligent building.
The invented architecture solution utilises the SOAP technology together with ECA rule mechanism in managing
subsystems interoperation in a federated manner. Experiments and performance evaluation of the architecture
had been carried out to justify the performance requirement of heterogeneous systems in an intelligent building.
This research deals with the ripeness grading of oil palm fruit bunches of different ripeness category for
different types of oil palm. The current practice in the oil palm mills is to grade the oil palm bunches manually
using human graders. This method is subjective and subject to disputes. The grading systems in general utilise
improved engineering designs in image processing for product grading. In this research, a real time oil palm
fresh fruit bunches (FFB) scanner was designed based on external properties of the FFB. An image processing
technique was developed to automate the grading for oil palm fruit bunches. This grading system was developed to
separate between the different types of oil palm fruit bunches and then distinguish between the different ripeness
categories. The real time grading system can differentiate between different ripeness categories of oil palm fruit
bunches based on the combination of different parameters of fruit surface. This system will be useful to the oil
palm plantations in Malaysia and in the rest of the world. It will benefit oil palm engineers, oil palm mills, oil palm
managers, oil palm small holders and oil palm enforcement agencies.