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<title>Tenth International Conference On Computer Applications (ICCA 2012)</title>
<link>https://onlineresource.ucsy.edu.mm/handle/123456789/16</link>
<description/>
<pubDate>Mon, 08 Jun 2026 10:28:32 GMT</pubDate>
<dc:date>2026-06-08T10:28:32Z</dc:date>
<item>
<title>Proactive Software Rejuvenation Solution for Software Fault Tolerance System</title>
<link>https://onlineresource.ucsy.edu.mm/handle/123456789/2455</link>
<description>Proactive Software Rejuvenation Solution for Software Fault Tolerance System
Lwin, Khin Moh Moh
Software failures are now known to be a&#13;
dominant source of system outages. The cost of&#13;
unplanned outages is higher than the cost of&#13;
planned outages. Software systems often&#13;
experience aging related defects which cause&#13;
unexpected outages and affecting its availability.&#13;
A system should have the capability enough to&#13;
tolerate the faults and operate continuously in&#13;
spite of faults and interruptions. A proactive fault&#13;
management method to deal with the software&#13;
aging phenomenon is software rejuvenation. In&#13;
this paper, we focus on a high assurance&#13;
software system with fault-tolerance and&#13;
proactive software rejuvenation and analyze the&#13;
stochastic behavior of such a software system.&#13;
More precisely, we consider a software fault&#13;
tolerance system with redundant and evaluate&#13;
the steady-state system availability based on the&#13;
familiar Markovian analysis through the use of&#13;
numerical analysis.
</description>
<pubDate>Tue, 28 Feb 2012 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://onlineresource.ucsy.edu.mm/handle/123456789/2455</guid>
<dc:date>2012-02-28T00:00:00Z</dc:date>
</item>
<item>
<title>Building Myanmar, Myanmar Sign and Japanese Languages Dictionary Based on Ontology</title>
<link>https://onlineresource.ucsy.edu.mm/handle/123456789/2454</link>
<description>Building Myanmar, Myanmar Sign and Japanese Languages Dictionary Based on Ontology
Lin, Nu Nan Dar; Thu, Ye Kyaw; Matsumoto, Mitsuji; Urano, Yoshiyori
The World Wide Web is an information&#13;
resource with virtually unlimited potential.&#13;
However, this potential is relatively untapped&#13;
because locating relevant information can often&#13;
be time consuming and fruitless. If machines&#13;
could understand the content of the web pages,&#13;
searches with high precision and recall would be&#13;
possible. So, our approach system is to find the&#13;
meaning of word from Ontology database.&#13;
Nowadays, Ontology is becoming increasingly&#13;
widespread in research field and application&#13;
area of computer science. Ontology is used not&#13;
only in semantic web but also in database and&#13;
applications that need to share domain&#13;
information for specific area of knowledge.&#13;
Ontology comprises as the concept, properties&#13;
and restrictions on properties. So, we can build&#13;
Ontology for every object and thing in our&#13;
environment that has relationship and properties.&#13;
This system was developed by categories&#13;
grouping methods and then all of that groups are&#13;
relation with ontology properties. So, users can&#13;
see all of the words relation and study usage of&#13;
the words from this dictionary. This dictionary&#13;
prototype was developed with Protégé ontology&#13;
Editor 4.2 Alpha version that supports OWL 2.0&#13;
languages.
</description>
<pubDate>Tue, 28 Feb 2012 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://onlineresource.ucsy.edu.mm/handle/123456789/2454</guid>
<dc:date>2012-02-28T00:00:00Z</dc:date>
</item>
<item>
<title>A View of Cloud Computing: Bringing the Data Center Design into the Realm of Enterprise Architecture</title>
<link>https://onlineresource.ucsy.edu.mm/handle/123456789/2453</link>
<description>A View of Cloud Computing: Bringing the Data Center Design into the Realm of Enterprise Architecture
Aye, Tin Moe
The explosion of data , its criticality , and&#13;
business and education ‘s growing dependency on&#13;
digital information are leading to larger and more&#13;
complex information storage environments that&#13;
increasingly combating to manage the processing of&#13;
data—acquiring, capturing ,analyzing, securing&#13;
,sharing and most of all. Data centers need to keep&#13;
up with these facts, and are always in a constant&#13;
state of transformation. There are several challenges&#13;
to consider when designing a solution for&#13;
provisioning and maintenance of infrastructure for&#13;
data centers. Within the past few years , a powerful&#13;
new strategy has emerged that has important&#13;
influences in data center architectures .This is the&#13;
paradigm of cloud computing , which allows data&#13;
centers to avoid locally hosting multiple servers and&#13;
equipment and constantly deals with hardware&#13;
failure, software installs, upgrades and compatibility&#13;
issues. This paper presents on the cloud computing&#13;
in details and, how far the architecture is being&#13;
applied, especially for data centers in universities&#13;
and colleges as well as its appreciable benefits.
</description>
<pubDate>Tue, 28 Feb 2012 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://onlineresource.ucsy.edu.mm/handle/123456789/2453</guid>
<dc:date>2012-02-28T00:00:00Z</dc:date>
</item>
<item>
<title>Ontology-Based Criterion in Categorical Clustering</title>
<link>https://onlineresource.ucsy.edu.mm/handle/123456789/2452</link>
<description>Ontology-Based Criterion in Categorical Clustering
Tar, Hmway Hmway; Nyunt, Thi Thi Soe
Currently the Internet is the first solution&#13;
for scholars in finding information. But,&#13;
analyzing and interpreting this volume of&#13;
information will lead to researchers overload&#13;
in pursuing their research. Document&#13;
clustering has become an increasingly important&#13;
task in analyzing huge documents. The&#13;
challenging aspect to analyze the enormous&#13;
documents is to organize them in such a way that&#13;
facilitates better search and knowledge&#13;
extraction without introducing extra cost and&#13;
complexity. In this paper, ontology-based&#13;
document clustering method has been proposed.&#13;
Ontology based document categorization helps&#13;
scholars to find relevant categorization of&#13;
special areas by applying ontology based&#13;
measure. However, there are few researches on&#13;
ontology based measure with weighting methods.&#13;
Previous works lack of an appropriate&#13;
representation scheme for research topics.&#13;
According to this issue this papers constructs&#13;
ontology and apply this ontology in the&#13;
clustering process and after that the topic&#13;
discovery phase is followed. This paper&#13;
describes a method that combines Semantic&#13;
Web and ontology to support clustering&#13;
unstructured text documents.
</description>
<pubDate>Tue, 28 Feb 2012 00:00:00 GMT</pubDate>
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<dc:date>2012-02-28T00:00:00Z</dc:date>
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