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Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Htun, Win Pa Pa; Han, Thwe’ Mu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Networks fundamentally rely on the Address Resolution Protocol (ARP) for proper operation. Address Resolution Protocol (ARP) is a protocol for mapping an Internet Protocol address (IP address) to a physical machine address(MAC ...
  • Aye, Nan Saung Chan; Aye, Nilar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease is the leading cause of death in the world over the past 10 years. Researchers have been using several data mining techniques to help health care professionals in the diagnosis of heart disease patients. ...
  • Lwin, No No Saw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering is the processof grouping the similar objects into the same group and produce characteristic for each cluster. Partition-based clustering algorithms are simple to implement. K-Means is one of the partition based ...
  • Khaing, Htar Ei; Khin, Myat Thanda (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    One of the Digital signal processing operations, filtering can achieve acoustic echo cancellation. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. Echo is the phenomenon in which ...
  • Aung, Htat Htat; Oo, Hlaing Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, an approach is built to automatically detect acoustic events that are produced in a meeting or lecture room environment. Six audio classes are to be classified through this approach. The classes considered ...
  • Win, Htet Myak; Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a data-shipping database system, data items are retrieved from the server machines, cached and processed at the client machines, and then shipped back to the server. Cache consistency controls typically rely on a ...
  • Lwin, Thandar; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The task of detecting duplicate records that represents the same real world object in multiple data sources, commonly known as duplicate detection and it is relevant in data cleaning and data integration applications. ...
  • Thuya, Sai Kyaw; Mya, Khin Than (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    As the information technology communication advances, there is a need for strong interest in the information security. Encryption is one of the alternative techniques that can be applied to any system for safeguarding ...
  • Lin, Nwe Yee; Naing, Thin Thin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Auctions are widely used to conduct commercial transactions. Increasing number of online auctions is challenging to those who are looking for good deals. These problems can be solved by participating across multiple online ...
  • Oo, Kyaw Khaing (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision tree learning algorithm is rules for classifying data using attributes and has been successfully used in decision support systems in capturing knowledge. The main task performed in this paper is using inductive ...
  • Zaw, Thiri; Aye, Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Computational agent-based systems can improve the efficiency of traditional astrological fortune pre-diction system. Agents can make their own decisions and can adapt from their environment. The ability of agents is a very ...
  • Tun, Sithu; Aye, Nilar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Every day, each of us has to decide among lots of choices of our actions. Of course, wehave some criteria connected to the solution that impact our action. The solutions can be bothobjective and subjective[5].Last two ...
  • Kyaw, Phu Mon; Aung, Khayea (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, most of the organizations need to share their related data to provide better performance and availability of data for users located at any site. Because of enterprises’ negotiation of sharing their databases, ...
  • Khin, Thet Thet; Sein, Myint Myint (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper focuses on the detection of target object from various kinds of objects and camouflaged scene. We offer to apply a target detection method that developed based on the nonlinear correlation approach. The ...
  • Than, Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Every organization needs information to survive and thrive, to plan and to control. The Union of Myanmar is an agricultural country. To be a modern and developed country, the agricultural sector takes an important role. ...
  • 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 ...
  • Zin, Ei Phyu; Aye, Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining is the process of analysis of raw data in the database and synthesizing it into information that is useful for effective decision making. Association rule mining finds interesting association or correlation ...
  • Ei, Htet Htet; Lwin, Wai Wai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Many organizations are being interested in mining association rules from business records because they desire to promotethe benefit from large amount of data that are continuously stored in databases. Discovery of ...
  • Aung, Myat Aye Aye; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic Speech Recognition (ASR) system is to accurately and efficiently convert speech signal into a text message independent of device, speaker or the environment. Feature extraction is the second component of ...
  • Myat, Yin Yin; Mon, Ohmmar Min (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Pseudorandom Number Generators (PRNGs) are computational algorithms that produce long sequence of random results, which are determined by a shorter initial seed or key. Elliptic curve cryptosystem is a public key cryptosystem. ...

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