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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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  • Moe, Sandar; Aye, Zin May (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents money transfer transaction from bank to bank system to provide authentic, integrity services by using ElGamal public key digital signature and SHA-512 hash function algorithm. This system consists ...
  • Aye, Chan Mya; Mon, Thet Su (Fifth Local Conference on Parallel and Soft Computing, 2010-01-16)
    In distributed system, the database can be replicated in multiple servers stored at different sites. Replication is a key to providing high availability and fault tolerance in distributed systems. A faulttolerant service ...
  • Hlaing, Hnin Hnin Ei; Khing, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Online shopping behavior refers to the process of purchasing products or service over the internet. By shopping through the Internet, it can be lower cost, enable increase choice and convenience. If online shopping system ...
  • Su, Thinn Thiri; Myo, Nyein Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Mobile agent is a relatively new emerging design for structuring distributed application over the past few years on client-server approach. Therefore this system is proposed as a distance examination system using mobile ...
  • Aye, Yin Mon Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Increasing number of online auctions is challenging to those who are looking for good deals. Agent technology can be applied to E-commerce today in order to help users in buying things. Online auctions and negotiations ...
  • Thaw, Phyo Wai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, the number of electronically available information and knowledge from the internet is rapidly growing. Therefore it becomes difficult to find relevant information users need. The most successful example to ...
  • Lwin, Cho Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The proposed system has being specifically focuses on the development of a cancer information system by using information retrieval (IR) techniques. Information Retrieval System should be able to identify the intent ...
  • Mon, Shun Ei; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender systems on web pages are a subclass of information filtering system that seeks the relevant web pages according to prediction of the 'rating' or 'preference' that a user would give web page. Nowadays, the ...
  • Oo, Kyaw Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, Information Technology (IT) is rapidly improving and then large-scale available data and information is demanded by information society. To get relevant and related information, efficient Information Retrieval (IR) ...
  • Cho, Hnin Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Retrieving the necessary information about the domain provide the user to acquire the explicit knowledge for that domain. This information about terms and their relations is traditionally provided through dictionaries. But ...
  • Khaing, Khin Kyawt Kyawt; Hlaing, Moe Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays,Information Technology is rapidly improving to provide possibilities for integration among applications using various databases. It involves retrieving and integrating information from multiple data sources. The ...
  • Cho, Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Geographic Information System (GIS) is a computer system capable of capturing, analyzing, and displaying geographically referenced information; that is, data identified according to location. Geospatial information system ...
  • Parami, Ananta (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, as the consumer market becomes quite competitive and challenging, to gain the customer’s satisfactions is vital. Therefore, Decision Support System would play an important role in mass production line. ...
  • Mar, Aye Aye; Aung, Nang Soe Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Dijkstra algorithm among the shortest-path algorithms is to solve the shortest-path problem. Dijkstra’s algorithm is probably the best-known and thus most implemented shortest path algorithm. It is based on a priority queue ...
  • Win, Soe Theint Theint; Aung, Khin Sandar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    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.Clustering is ...
  • Tha, Phone Kyi; Win, Su Thawda (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    In a capacitated pipeline network, a problem that commonly occurred is finding maximum flow. It is finding the best amount of flow of flow rate of entity in the pipeline network. Water supply network is a kind of capacitated ...
  • Phyu, Nan Khaing Pwint; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier analysis is that the user do depends on the kinds data they have. An outlier is a data value, that has a very low probability of occurrence that is, it is unusual. There are three kinds of outlier detection in ...
  • Hlaing, Wint Wah; Khin, Tar Tar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier detection is an important task in data mining activities and has much attention in both research and application. A value that lies outside which is much smaller or larger than most of the other value in a set of ...
  • Htwe, Hsu Mon; Phyu, Aye Lei Lei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Outliers are the set of objects that are considerably dissimilar from other values in a random sample from a population. Outliers are important because they can change the results of data analysis. In this paper, ...
  • Htwe, Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping a set of objects into classes or clusters so that objects within a cluster have similarity in comparison to one another, but are dissimilar to objects in other clusters. Clustering ...

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