Development of an intelligent academic supporting tool
Academic supporting tool is defi ned as an educational development services which is developed as a guide to universi ties and colleges in order to support and help in academic progress. In this th esis, two academic supporting tools; e.g., an electronic notification system, and an...
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Universiti Malaysia Sarawak, UNIMAS
2009
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| Online Access: | http://ir.unimas.my/id/eprint/6510/1/DEVELOPMENT%20OF%20AN%20INTELLIGENT%20ACADEMIC%20SUPPORTING%20TOOL%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/6510/8/Liew%20Hui%20Chang.pdf http://ir.unimas.my/id/eprint/6510/ |
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my.unimas.ir.65102023-12-14T06:28:46Z http://ir.unimas.my/id/eprint/6510/ Development of an intelligent academic supporting tool Liew,, Hui Chang. T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Academic supporting tool is defi ned as an educational development services which is developed as a guide to universi ties and colleges in order to support and help in academic progress. In this th esis, two academic supporting tools; e.g., an electronic notification system, and an Evolving Tree (ETree) based automated documents clustering system are deve loped, and evaluated. The electronic notification system with S hort Message Service (SMS) technology is developed to facilitate the communication among lecturers and students. It can be viewed as a mobile, efficient and environment-friendl y communication platform among lecturers and students. It allows latest news, gene ral notices, instant cla ss cancellation alerts and etc. to be deliv ered to students in stantly, through SMS. The electronic notification system is developed using Visual Basic language. Practicality of the developed system is further evaluated with the help of a lecturer in UNIMAS. Positive results are obtained. The ETree based automated documents clustering system is developed to allow conference papers to be clustered, organized and visualized based on their abstract similarit y. Classification of conference papers is always a tedious, time-consuming and e xpensive task, to be carried out by experience academicians. The developed sy stem is a decision supporting tool for conference organizers and technical committees. It eases the task of classification of conference papers. With re gards to the study of neural network, ETree is proposed as an improvement of Self Organizing Map (SOM). As compared with conventional SOM, ETree does not require map size to be predetermined. From literature, the use of SOM in document clustering, organizati on and visualization problems has been widely reported. However, from literature review, the main application of ETree centered at image processing, and no re port on the use of ETree in document clustering, organization and visu alization problems have be en found. To some extent, this piece of work can be viewed as an earlier investigation on the use ETree for document classification problems. The ETree based automated documents clustering system is evaluated with in formation from Engineering Conference (ENCON) 2008. Correctness of the clustering result is further evaluated with the help of a Technical Committee from ENCO N 2008. Experiments show that it is a potential system, and positive results are obtained. Universiti Malaysia Sarawak, UNIMAS 2009 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/6510/1/DEVELOPMENT%20OF%20AN%20INTELLIGENT%20ACADEMIC%20SUPPORTING%20TOOL%2824%20pgs%29.pdf text en http://ir.unimas.my/id/eprint/6510/8/Liew%20Hui%20Chang.pdf Liew,, Hui Chang. (2009) Development of an intelligent academic supporting tool. [Final Year Project Report] (Unpublished) |
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| country |
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| content_provider |
Universiti Malaysia Sarawak |
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| language |
English English |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Liew,, Hui Chang. Development of an intelligent academic supporting tool |
| description |
Academic supporting tool is defi
ned as an educational
development services
which is developed as a guide to universi
ties and colleges in order to support and
help in academic progress. In this th
esis, two academic supporting tools; e.g., an
electronic notification system, and an
Evolving Tree (ETree) based automated
documents clustering system are deve
loped, and evaluated. The electronic
notification system with S
hort Message Service (SMS) technology is developed to
facilitate the communication
among lecturers and students.
It can be viewed as a
mobile, efficient and environment-friendl
y communication platform among lecturers
and students. It allows latest news, gene
ral notices, instant cla
ss cancellation alerts
and etc. to be deliv
ered to students in
stantly, through SMS.
The electronic
notification system is developed using Visual Basic language. Practicality of the
developed system is further evaluated with
the help of a lecturer in UNIMAS.
Positive results are obtained. The ETree based automated documents clustering
system is developed to allow conference
papers to be clustered, organized and
visualized based on their abstract similarit
y. Classification of
conference papers is
always a tedious, time-consuming and e
xpensive task, to be carried out by
experience academicians. The developed sy
stem is a decision supporting tool for
conference organizers and technical committees. It eases the task of classification of
conference papers. With re
gards to the study of neural
network, ETree is proposed
as an improvement of Self Organizing Map
(SOM). As compared with conventional
SOM, ETree does not require map size to be predetermined. From literature, the use
of SOM in document clustering, organizati
on and visualization problems has been widely reported. However, from literature
review, the main application of ETree
centered at image processing, and no re
port on the use of ETree in document
clustering, organization and visu
alization problems have be
en found. To some extent,
this piece of work can be viewed as an
earlier investigation on the use ETree for
document classification problems. The ETree based automated documents
clustering system is evaluated with in
formation from Engineering Conference
(ENCON) 2008. Correctness of the clustering
result is further evaluated with the
help of a Technical Committee from ENCO
N 2008. Experiments show that it is a
potential system, and positive results are obtained. |
| format |
Final Year Project Report |
| author |
Liew,, Hui Chang. |
| author_facet |
Liew,, Hui Chang. |
| author_sort |
Liew,, Hui Chang. |
| title |
Development of an intelligent academic supporting tool |
| title_short |
Development of an intelligent academic supporting tool |
| title_full |
Development of an intelligent academic supporting tool |
| title_fullStr |
Development of an intelligent academic supporting tool |
| title_full_unstemmed |
Development of an intelligent academic supporting tool |
| title_sort |
development of an intelligent academic supporting tool |
| publisher |
Universiti Malaysia Sarawak, UNIMAS |
| publishDate |
2009 |
| url |
http://ir.unimas.my/id/eprint/6510/1/DEVELOPMENT%20OF%20AN%20INTELLIGENT%20ACADEMIC%20SUPPORTING%20TOOL%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/6510/8/Liew%20Hui%20Chang.pdf http://ir.unimas.my/id/eprint/6510/ |
| _version_ |
1787140464657301504 |
| score |
13.211869 |