Fourth Local Conference on Parallel and Soft Computing: Recent submissions

  • Shein, Khin Kyaw Kyaw; Soe, Khin Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Most of the businesses have a problem when interacting with their customers to sell goods or to give services. They have to make a lot of conservation with customers about availability of goods and services by discussing ...
  • Marlar, Juli; Soe, Khin Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Collaborative filtering works to aggregate ratings or preferences on items; discovers user profiles learning from user’s historic rating record; generates a new recommendation on a basis of inter-pattern comparison. ...
  • Mon, Kaung Myat; Khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The security of information is the most important factor of information technology and communication. Many different methods have been developed to encrypt and decrypt data in order to keep the message secret. Besides, it ...
  • Cho, Theingi; khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data communication is an important aspect of our living and protection from data misuse is important. The main security concerns of applications are addressed by cryptography. Cryptographic techniques are extremely critical ...
  • Khaing, Ei Ei; Khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Todays, computers security is needed to protect data and to thwart the hackers. Cryptanalysis on symmetric key cryptography is encouraging the use of larger key sizes and complex algorithms to achieve an unbreakable ...
  • Cho, Thinn Thinn; Lynn, Khin Thidar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Association rule mining represents a data mining technique and its goal is to find interesting association or correlation relationships among a large set of data items. With massive amount of data continuously being collected ...
  • Win, Khin Sandar; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the vast increases of the electronic mail (email) usages continue, spam (unsolicited bulk mail) has continued to grow because of it is a very inexpensive method of advertising. These unwanted emails can cause serious ...
  • Win, Cho Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to ...
  • Yu, Hnin Myat; Thein, Naychi Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The web is a huge repository of information and there is a need for categorizing web documents to facilitate the search and retrieval of pages. Existing algorithms rely solely on the text content of the web pages for ...
  • Lwin, Hnin Thant; Mya, Aye Pa Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, information system has been developed and played key role in live of human beings. By applying the developme nt of information system, user can search the desired information from the inter net . However, user ...
  • Thida, Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper proposes a robust method for wheeze sound detection. The presented approach is based on a time series regularity measure called sample entropy of a time-frequency distribution (Gabor Spectrogram). First, the ...
  • Min, Aung Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In today computer security field, honeypot technology is rapidly maturing and various types of honeypots are establishing their role of countermeasure as viable and useful in modern network defense system. In this paper, ...
  • Shein, Yu Li (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The role of audio in the context of multimedia applications involving video is becoming increasingly important. In this paper, an approach to automatic segmentation and classification of audiovisual data based on audio ...
  • Aung, Htet Htet (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper describes an approach for an audio event detection system in noisy environments. The system specifically focuses on classification of an audio event as gunshot, scream or ambient noise. For discriminating gunshot ...
  • Wai, Nyein Zarni (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Finite State Machines are found throughout computer science. Compilers, grammars, or any kind of program where users can be in different positions, all make use of high-level states and state transitions. Any circuit with ...
  • Swe, Thi Thi; Htay, Hla Hla (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Named Entity Identification includes locating named entities and classifying those names in text. NEI is an important task in NLP applications such as Information Extraction, Cross Language information Retrieval, Question ...
  • Han, Kyi Kyi; Htay, Hla Hla (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The paper is about developing an aligned English-Myanmar parallel corpus. This paper will describe method for aligning sentences based on simple statistical model of length. Parallel corpus is pairs of translation alignment ...
  • Aye, Khaing Zar; Pa, Win Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A decision support system a case-base of previously taken actions and a record of previous taking action processes can assist Administrators in deciding and solving problem cases of staffs in new cases. This system suggests ...
  • Htwe, Tin Moe; Oo, Win Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a form of data analysis that can be used to extract models describing import data class or to predict future data trends. This paper contains two important aspects of pattern recognition that classification ...
  • Maw, San San (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search through large amounts of visual data. In content-based image retrieval systems(CBIR) the most ...

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