UCSY's Research Repository

Browsing Faculty of Computer Science Collection by Title

Browsing Faculty of Computer Science Collection by Title

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  • 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 ...
  • Security of Healthcare System using Role-Based Access Control 
    Tun, Khin Myaing Myaing; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, security is recognized as an absolute need in application development. The healthcare sector deals with very sensitive data, patient’s medical records need to be kept confidential; hence, security is very important. ...
  • Security of Real-time Big Data Analytics Pipeline 
    Thein, Khin Me Me; Nyunt, Thi Thi Soe; Aye, Kyar Nyo (International Journal of Advances in Electronics and Computer Science (IJAECS), 2017-02)
    In today’s world, real-time data or streaming data can be conceived as a continuous and changing sequence of data that continuously arrive at a system to store or process. Big Data is also one of the hottest research ...
  • SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM 
    Soe, Thinn Lai (International Journal of Computer, 2013)
    Nowadays, there are so many increasing amount of information within world-wide web. For these increasing amounts of information, we need efficient and effective index structure when we have to find needed information. ...
  • Sentence and Word Alignment System for Myanmar-English Machine Translation 
    Nwet, Khin Thandar; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper describes an alignment system that aligns Myanmar-English texts at the sentence and word level in parallel text. Sentence and word level alignment is the identification of the corresponding sentence and word ...
  • Similarity based Retrieval of Documents using Jaccard Coefficient Similarity Methods 
    Khaing, Nan Ei; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Particularly, information retrieval results as documents are typically too extensive. Consequently, a similarity measurement between keywords and index term is essentially performed to facilitate searchers in accessing ...
  • Statistical Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese) 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper contributes the first evaluation of the quality of machine translation between Myanmar (Burmese) and Rakhine (Arakanese). We also developed a Myanmar-Rakhine parallel corpus (around 18K sentences) based on the ...
  • Statistical Machine Translation between Myanmar and Myeik 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar; Supnithi, Thepchai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    This paper contributes the first evaluation of the quality of machine translation between Myanmar and Myeik (also known as Beik) . We also developed a Myanmar-Myeik parallel corpus (around 10K sentences) based on the ...
  • Stochastic Context Free Grammar for Statistical Parsing of Myanmar Natural Language Processing 
    Aung, Myintzu Phyo; Aung, Ohnmar; Hlaing, Nan Yu; San, Thida; Moe, Zun Hlaing (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Parsing is breaking a sentence into its constituent nonterminal. Parsing of simple noun-phrase is useful in the study of artificial intelligence for various reasons, such as, for an index-term generation in an information ...

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