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    <title>UCSC Digital Library Collection:</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1693</link>
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        <rdf:li rdf:resource="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1732" />
        <rdf:li rdf:resource="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1734" />
        <rdf:li rdf:resource="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1733" />
        <rdf:li rdf:resource="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1731" />
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    <dc:date>2026-11-10T10:25:50Z</dc:date>
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  <item rdf:about="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1732">
    <title>Semantically Enhanced Search Mechanism for Web Service Registries</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1732</link>
    <description>Title: Semantically Enhanced Search Mechanism for Web Service Registries
Authors: Gunarathna, M.R.D.I.A.
Abstract: Service Oriented Architecture (SOA) has emerged as one of the leading technologies that is
being used by most of the business entities today in order to carry out most of their day
to day business operations. It facilitates di erent business applications operating under in
di erent platforms to interact with each other using standard protocols. As the amount of
web services developed daily increase drastically new problems like service usage monitoring
and automated service discovery emerged. Service discovery is one of the critical factors in
SOA in order to get the maximum usage of its features like composition and interoperability.
To get the maximum usage of the provided facilities of a service one needs to locate the
service correctly. With the rapid increment of the number of available web services,  nding
out the appropriate service becomes a hugely challenging task. This gives rise to web service
discovery mechanisms and di erent service registry mechanisms. Semantic based web service
discovery is one such mechanism that could be used to enhance the service discovery phase of
a particular registry. The work presented in this research consists of design, implementation
and evaluation of a semantic based enhanced service discovery method that could be plugged
in to any particular web service registry.</description>
    <dc:date>2013-12-19T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1734">
    <title>Recognition of Human Facial Expression in 3D Space</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1734</link>
    <description>Title: Recognition of Human Facial Expression in 3D Space
Authors: Gunathilaka, D.M.
Abstract: Facial expression is one of the most powerful resources for people to coordinate
conversation and communicate emotions and other mental, social, and
physiological cues. Studying the facial expression is one successful way of
studying the emotional state as the facial expression represents ones emotional
state successfully. We propose a method to identify the facial expression
represented by human face in this thesis.
Facial expression is an important channel of nonverbal communication
as well. If the facial expression can be recognized automatically then the
results can be applied in many important areas like human computer interaction
which can be used to enable the communication between human and
computers in a more natural way.
Facial expressions were studied mostly using 2D images or 2D video sequences.
Recent advances in imaging technology and ever increasing computing
power have opened up new areas of automatic facial expression recognition.
We have proposed a method to recognize the facial expression by
analyzing the 3D geometry of the human face. The geometry of the human
face is studied in 3 dimensional spaces and the facial expression is identi ed.
There are six kinds of universally recognized facial expressions: happiness,
sadness, fear, anger, disgust, and surprise. The classi cation of the facial
expressions is done using an Arti cial Neural Network.</description>
    <dc:date>2013-12-19T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1733">
    <title>A Configurable Tool to Generate Parallel Programming Applications on a Hybrid DM/DSM Cluster</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1733</link>
    <description>Title: A Configurable Tool to Generate Parallel Programming Applications on a Hybrid DM/DSM Cluster
Authors: Gunasekara, H.A.D.R.R.
Abstract: As the popularity of parallel programming gets increased day by day more people tries to
use parallel computing and get the bene ts. According to user requirements and the type
of the problem, di erent parallel programming models should be used in order to get the
maximum performance. Among di erent kinds of parallel programming models hybrid
distributed memory (DM) and distributed shared memory (DSM) model can be mention
as relatively new model. Since this is a combination of two parallel programming models
users have to eventually use two di erent programming languages and mix them properly.
Although there are tools available to assist programmers on creating parallel computing
applications, none of them support developing hybrid DM/DSM applications. So the
objective of this project was to create such a tool. Using the implemented tool users can
creates virtual sub-clusters which use DSM approach for internal nodes communication.
Size of the sub-cluster is con gurable and can be changed according to user requirements.
Connectivity among sub-cluster can be established using message channels (DM). Once
users enter the logic into a single sub-cluster it can be replicated for others and execute
in a parallel manner. All the relevant synchronization parts will be handled by the tool.</description>
    <dc:date>2013-12-19T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1731">
    <title>Semantic Web Approach to Block Pornography Websites</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1731</link>
    <description>Title: Semantic Web Approach to Block Pornography Websites
Authors: Dissanayake, D.H.S.
Abstract: With the rapid growth of the internet a vast industry for the production
and consumption of pornography has grown all over the globe. To keep
people away from this kind of o ensive things, di erent kinds of Web  ltering
techniques are implemented.
Today there are many Web  lters available to solve this problem. They
use di erent techniques to  lter the Web. Blacklists &amp; white-lists, keyword
blocking, using rating systems and image based algorithms are the most
popular ones among them. Keeping and updating a list is quite promising.
Because there are thousands of new web pages are publishing in the inter-
net. So checking all of them and listing is not an easy task. Sometimes using
keyword blocking techniques, legitimate pages can be blocked too. The prob-
lem of this is that rating is not compulsory. So it may not always available.
Apart from that because of the self rating, ratings may not always accurate.
Other than that the image scanning mechanisms may be very costly due to
the huge processing time it needs for the classi cation.
The main goal of the project is to develop an automated Web  ltering
mechanism, which extract the semantic web features of the web page for the
classi cation process. The proposed system considers URL of a web page
and the web page content to  lter the page. Here new URL scanning &amp;
scoring mechanism as well as in-line page keyword scanning mechanism is
introduces throughout the project. The web  ltering engine is implemented
as a extension for the Firefox browser. The project aims at minimizing over
blocking rate while provide a fast and accurate  ltering mechanism.</description>
    <dc:date>2013-12-19T00:00:00Z</dc:date>
  </item>
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