UCSY's Research Repository: Recent submissions

  • Efficient Indexing and Searching Framework for Unstructured Data 
    Aye, Kyar Nyo; Thein, Ni Lar (International Conference on Software and Computing Technology (ICSCT), Singapore, 2011-12-10)
    The proliferation of unstructured data continues to grow within organizations of all types. This data growth has introduced the key question of how we effectively find and manage them in the growing sea of information. ...
  • 2D image reconstruction using bicubic interpolation 
    Htwe, Ah Nge (Ninth Local Conference on Parallel and Soft Computing, 2018)
    2D image reconstruction is an important task in many applications of computer vision. The objective of image reconstruction is to recover a degraded image based on mathematical and statistical models. When an image is sent ...
  • Image Zooming with Linear Interpolation 
    Htwe, Ah Nge; Nge, Mi Mi (International Conference on e-Business (iNCEB), 2009-10)
    Image zooming is a vital role in image processing. The zoomed images can be distorted because of blocky or jaggy effects. Sometimes, there is a problem to define the content of image or photo. The distorted image is needed ...
  • Implementing Association Rules Generator using CHARM 
    Aung, Zay; Naing, Thinn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In traditional association rule mining that based on Apriori-like algorithm, all frequent itemsets are computed and strong association rules are then generated from the set of all frequent itemsets as a next step. By ...
  • Clustering the Navigation Pattern Using Graph Partitioning 
    Cho, Ei Mon; Soe, Khin Thanda (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    World Wide Web become as information gateway and as a medium for conducting business. People use web pages to retrieve information which may need or demand. Web mining can provide the navigation link to user by using ...
  • Searching Suitable Employee for the Work by Using Partitioning Methods 
    Nwe, Win Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Conventional database query methods are inadequate to extract useful information from huge data banks. Cluster analysis is one of the major data analysis methods, and process of grouping a set of physical or abstract ...
  • Implementation of the Diagnosis System for Heart Diseases by using Decision Tree Induction Method 
    Zaw, Lai War; Aye, Nilar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Computer have become an indispensable tool in the Health Care Industry. As technology grows rapidly many people take great interest in computer and then computer based method are used to improve the quality of the ...
  • A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application 
    Win, Me Me; Zaw, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In distributed database system, replicated databases are composed of many copies of databases distributed across different sites. Distributed applications frequently use replications to achieve higher level of performance, ...
  • A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application 
    Win, Me Me; Zaw, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In distributed database system, replicated databases are composed of many copies of databases distributed across different sites. Distributed applications frequently use replications to achieve higher level of performance, ...
  • A Token-Based Data Cleaning Technique for Land Application System 
    Aye, Tin Nilar; Khine, May Aye (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The process of detecting and removing database defects and duplicates is referred to as data cleaning. The fundamental issue of duplicate detection is that inexact duplicates in a database may refer to the same real ...
  • Extraction of Frequent Patterns from Diabetes Cluster 
    Win, Myint Swe Lai; Phyu, Win Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of discovering interesting knowledge, such as patterns, associations, changes, anomalies and significant structures, from large amounts of data stored in databases, data warehouses, or other ...
  • Comparative Study of Association Rules Mining 
    Aye, Thi Dar; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association rule mining is a technique to find useful patterns and associations in transactional databases. The mining of association rules can be mapped into the problem of discovering large (frequent) itemsets where ...
  • Implementation of An Information Extraction System using Boolean Model 
    Mon, Khaing Zar; Naing, Thinn Thu (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The rapid growth of on-line information has created a surge of interest in tools that are able to extract information from on-line documents. Information extraction (IE) is the process of pulling desired pieces of ...
  • A Comparative Study on Transaction Database Mining Algorithms 
    Soe, Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association Rules is the process of identifying relationships among set of items in transaction database. Finding frequent itemsets is the most expensive step in Association rule discovery. Real world datasets are ...
  • Robot Language Acquisition Based on Sequence-to-Sequence Learning 
    Thu, Ye Kyaw; Takabuchi, Kenta; Fukai, Kaisei; Iwahashi, Naoto; Kunishima, Takeo (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Language acquisition for robot is a challenging topic in the artificial intelligence research area and essential for natural communication between robot and human. In this paper, we proposed language acquisition ...
  • Cross-modal Sentiment Information Expression of Voice Source Characteristics using Image Texture Features 
    Kyaw, Win Thuzar; SAGISAKA, Yoshinori (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Following the successful findings of high correlations between speech and color such as F0 and Value, Loudness and Saturation and Spectrum and Hue, we analyzed the correlations between voice source characteristics and ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • 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 ...
  • Improving English-to-Myanmar Statistical Machine Translation by using Recurrent Neural Network Language Model and Hierarchical Reordering 
    Zin, May Myo; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this paper, a comparison between neural based network that adopts Recurrent Neural Network (RNN) language model and statistical based one with N-gram language model is conducted for English-to- Myanmar phrase-based ...
  • Exploring Features for Myanmar Named Entity Recognition 
    Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Named Entity Recognition (NER) is the task of classifying or labeling atomic elements in the text into predefined sets of named entity categories such as Person, Location, Organization or Number. NER is also a crucial ...

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