UCSY's Research Repository

Browsing Faculty of Computer Science Collection by Title

Browsing Faculty of Computer Science Collection by Title

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  • Myanmar Web Pages Crawler 
    Khine, Su Mon; Thein, Yadana (International Conference on Natural Language Processing, 2015)
    Nowadays web pages are implemented in various kinds of languages on Web and web crawlers are important for search engine. Language specific crawlers are crawlers that traverse and collect the relative web pages using the ...
  • Myanmar Web Pages Crawler 
    Khine, Su Mon; Thein, Yadana (International Journal on Web Service Computing (IJWSC), 2015-03)
    Nowadays web pages are implemented in various kinds of languages on Web and web crawlers are important for search engine. Language specific crawlers are crawlers that traverse and collect the relative web pages using the ...
  • Myanmar Words Sorting 
    Khine, Su Mon; Thein, Yadana (International Journal on Natural Language Computing (IJNLC), 2015-10)
    Myanmar word sorting is very important in indexing of search engine to optimize in the searching process of keywords. This paper proposed an efficient sorting algorithm for Myanmar words based on the weights of consonants, ...
  • Noise Block Cleaning and Main Content Block Extraction from Dynamic Web Page 
    San, Pan Ei; Aye, Nilar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Web Information Extraction systems becomes more complex and time-consuming. Web page contains many informative blocks and noise blocks. Noise blocks are navigational elements, templates and advertisements that are not ...
  • Online Book Ordering System Using Multi-Agent 
    Zin, Khaing May; Nwe, Khine Moe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    With the rapid development particularly in online industry, the amount of the online users is also dramatically increased. Online shopping and online ordering system is very popular nowadays. Therefore, the information ...
  • A Platform for Big Data Analytics on Distributed Scale-out Storage System 
    Aye, Kyar Nyo; Thein, Thandar (International Journal of Big Data Intelligence (IJBDI), 2015)
    Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. Hadoop-based platform emerges to deal with big ...
  • Prediction of software development faults in PL/SQL files using neural network models 
    Thwin, Mie Mie Thet; Quah, Tong Seng (Information and Software Technology, 2004-06-15)
    Database application constitutes one of the largest and most important software domains in the world. Some classes or modules in such applications are responsible for database operations. Structured Query Language (SQL) ...
  • Prediction of Software Readiness Using Neural Network 
    Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002), 2002)
    In this paper, we explore the behaviour of neural network in predicting software readiness. Our neural network model aims to predict the number of faults (including objectoriented faults) of a software under development. ...
  • Prediction System for Traffic Congestion using GPS Data on Hadoop Cloud Storage 
    Lwin, Hnin Thant; Naing, Thinn Thu (2014-02-17)
    The high values of vehicles, the inadequate infrastructure cause traffic congestion. Congested roads can be avoided by determining the travel-time for a particular road ahead of time. Traffic prediction and travel time ...
  • Preventing Data loss in Online Sale System Transactions by using Out-of- Place Update Recovery Information (Shadow Paging) 
    Kyaw, Htet Htet; Nwe, Khine Moe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A transaction is a logical unit of work. Transaction Processing Systems (TPS) are the heart of the business operations today. A TPS may fail for many reason such as system failure, human errors, hardware failure, ...
  • Proposed Framework for Pali Words to Myanmar Text Translation 
    Khaing, Phyu Phyu; Thwe, Khine Zar (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    The aim of this paper is to assist Buddhists and the new Buddhist students who are unfamiliar with some of the Pali words often used in the study of Buddhism. Moreover this can also assist the students of philosophy ...
  • Query Processing and Analysis from Distributed Data Warehouses 
    Htun, Khine Ohnmar; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data warehouses must have efficient Online Analysis Processing (OLAP) that provides tools to satisfy the information needs of business managers, helping then to make faster and more effective decisions. The increasing use ...
  • Real-time Big Data Analytics for Feature Selection on Apache Spark 
    Thant, Lwin May; Phyu, Sabai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Real-time data analysis is a key research in many domains. It can be applied to pre-existing or prescriptive models. The effective result is that monitor the account and review on a real-time action. Apache spark machine ...
  • Reordering Model with Recurrent Neural Networks for Myanmar- English Statistical Machine Translation 
    Nyein, May Kyi; Soe, Khin Mar (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Word reordering is a problematic issue for language pairs with significantly different word orders, such as the translation between a subject-verb-object (SVO) language and a subject-object-verb (SOV) language. When ...
  • Replication Based on Data Locality for Hadoop Distributed File System 
    Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (9th International Workshop on Computer Science and Engineering (WCSE 2019), Hong Kong, 2019-06-15)
    Replication plays an important role for storage system to improve data availability, throughput and response time for user and control storage cost. Due to different nature of data access pattern, data popularity is ...
  • Resource Allocation Scheme for SDN-Based Cloud Data Center Network 
    Thazin, Nwe; Nwe, Khine Moe; Ishibashi, Yutaka (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Cloud Data Center Network (CDCN) is receiving considerable attention and becomes one of the hottest topics among academia and industry. It is difficult to deliver the new emerging network services in a flexible way and ...
  • Retrieving Formal Concepts from Class-Method Data Table 
    Phyu, Hnin Pwint; Nyunt, Thi Thi Soe (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In maintenance of object-oriented software, one of the most important concepts is inheritance, which organizes classes into a hierarchy. The relationships among packages, classes, access modifiers, inherited classes ...
  • Rule-based Expert System for Blood Bank 
    Khaing, Myint Soe; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-based expert systems are a way to store and manipulate knowledge to interpret information in a useful way. They are often used ...
  • Scalable Community Detection using Island based Artificial Bee Colony Algorithm 
    Aung, Thet Thet; Nyunt, Thi Thi Soe (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Many system of interest in sciences can be represented as network (social network, biological network, computer science and etc), sets of nodes joined in pairs by edges. Detecting community structure is become one of the ...
  • Searching Optimal Bus-routes based on Frequent Subgraph Mining 
    Lwin, Khin Moe; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposed an approach of searching the optimal bus-routes based on data mining technology called Frequent Subgraph Mining (FSM).FSM is an important task for exploratory data analysis on graph data. Many approaches ...

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