UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Steganalysis on Least Significant Bit Matching Video 
    Naing, May Thu; Sein, Myint Myint (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Video Steganography deals with hiding secret data or information within a video file without changing the video display or audio. The secret information is embedded in the cover frames by splitting data. If LSB (Least ...
  • Stock Trend Prediction from Mobile Device through Web Services 
    Aung, Kay Thi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents a study of regression analysis for use in stock price prediction. The system shows the stock market trend of the specified bank using the previous stock prices. Data were obtained from the daily ...
  • Structured XML Retrieval System using Relevance Propagation 
    Zin, Hnin Cho; Htoon, Ei Chaw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    XML retrieval, also referred to as Structured Document Retrieval is a discipline of information retrieval that focuses on the retrieval of relevant document fragments for a given information need that contains both ...
  • Students Allocation System Based on Fuzzy C-means Algorithms 
    Swe, Kyaw Ei Ei; Aung, Sint Sint (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Cluster is refers to identifying the number of subclasses of c-clusters (2d” cd” n). There are two kinds of c partition of data: hard (or crisp) and soft (or fuzzy) . Two important issues are to consider how to measure ...
  • A study of Agent Network Technology to Natural Language User Interface 
    Myint, Khine Thida; Myint, Mu Mu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Natural Language Processing (NLP) refers to communicating with a computer in Natural Language (such as English) rather than using special commands. With natural language processing, it is much easier to communicate with ...
  • 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 Study of Information Retrieval by Lovins Stemmer and Pattern Matching Approach 
    Zaw, Wai Yan Lin; Myo, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, the World Wide Web technology is developed and it is a very large, distributed digital information collection and information contents in web is implemented by the different format such as HTML, XML etc. The ...
  • A Study of Multiple Criteria Decision Analysis For Real Estate 
    Kywe, Win Win; Zaw, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, the world is facing the revolution of Internet. So the world has reacted in several ways to the “E” technology such as E-government, Elearning, E-application, E-application, E-commerce and E-business and so ...
  • Study on Particle Swarm Optimization based Clustering 
    Moet, Moet (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) aims to organize a collection of data items into clusters, such that items within a cluster are more “similar” to each other than they are to items in the other clusters. There are many ...
  • Suggesting Mode of Delivery by Using Iterative Dichotomiser3 (ID3) Algorithm 
    Aye, Yin Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is a process that has a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Classification is the process of finding a set of models that ...
  • Suggestion System for Matriculation Exam Result using Decision Tree Induction 
    Khaing, Khwar Nyo; Yee, Myint Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper implements suggestion for matriculation examination result using decision tree induction algorithm. To be a well-developed human society, there must not be a great gap among the youths and so it is very necessary ...
  • Sunlight Tracking System Using Neural Network 
    Thida, May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Computer-controlled systems are of great interest in today’s world. These systems have spread into many areas of applications, such as environmental protections, military affairs and factory controls. Computer-controlled ...
  • The System of XML Extraction from Relational Databases Based on Document Object Model 
    Win, Thidar; Kyi, Khin Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    EXtensible Markup Language (XML) is a self-describing meta-language and fast emerging a standard for Web data exchange among various applications. XML is also a new technology that attracts a great deal of interest and ...
  • Systemic Lupus Erythematosus (SLE) Disease by Using ID3 Algorithm 
    Phyu, Thin Aye; Kham, Nan Si (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision tree algorithm is a method for approximating discrete valued target functions, in which the learned function is represented by a decision tree. A major challenge facing healthcare organizations (hospitals, medical ...
  • Text Based Web Image Retrieval System by Using Latent Semantic Indexing (LSI) 
    Lwin, Swe Swe; Myo, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper describes the use of latent semantic indexing (LSI) in text-based image retrieval system. Due to the rapid development and popularity of World Wide Web (WWW), users have to face a variety and large number of web ...
  • Text Classification Using Naïve Bayesian Classifier with Bigram 
    Tin, Thandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Classification is a form of data analysis that can be used to extract models describing important data classes or to predict future data trends. Data classification is a two step process. This system is to study the ...
  • Text Compression and Prediction Using Language Model 
    Mon, Wut Yi; Kyaw, Mya Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Language model in Natural Language Processing is one of the most important fields carried out in the world of Artificial Intelligence. The purpose of this paper is to express about stipulated abbreviation method and ...
  • Text Mining For Information Retrieval by Cosine Similarity Measure 
    Oo, Hay Man; Thwin, Khin Lay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper can describe a similarity-based retrieval framework that addresses the challenges associated with the relational database text documents. This system proposes to automatically classify documents based on the ...
  • Text Mining System Based on Vector Space Model 
    Aye, Chit Hnin; Pearl (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Evidently there is a tremendous proliferation in the amount of information found today on the largest shared information source, the World Wide Web. Information Retrieval System tries to save the users access time by ...

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