Fourth Local Conference on Parallel and Soft Computing: Recent submissions

  • 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 ...
  • Kyaw, Myat Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Geographic information system (GIS) offers great opportunities for the development of modern tourism application using maps .In this paper, we propose a tourism information system for supporting the location based service ...
  • Win, Nwe Nwe; Saw, Nang Tom Hawm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In recent years, the need for personalized service has been increased. However, personalization services must be improved to lighten user's burden in the process of personalization and produce results that are more adaptable. ...
  • Ko, Lei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    CBR (Case Based Reasoning) is an Artificial Intelligence methodology that provides the foundations for technology of intelligent systems. CBR receives increasing attention within the AI community.CBR is an analogical ...
  • Bu, Hkawn Ra Seng (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Syntactic analysis in Natural Language Processing (NLP) is one of the most important fields carried out in the world of artificial intelligence. NLP, a subfield of artificial intelligence and computational linguistics, can ...
  • Win, Kyaw Thu; Maw, Myint Myint (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Agents have ability to communicate with one another in order to tackle the collectively problem that no single agent can, individually. They communicate with each other using Agent Communication Language (ACL). Agents also ...
  • Win, Toe Nai; Aye, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Transmission Control Protocol (TCP) use cumulative acknowledgement scheme to provide reliable stream delivery service. Cumulative acknowledgement has one major inefficiency, it does not provide information about all ...
  • Cherry, Hnin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rough set theory is based on the establishment of equivalence classes within the given training data. All of the data samples forming an equivalence class are indiscernible, that is, the samples are identical with respect ...
  • Aung, Su Mon; Htwe, Tin Tin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision tree learning algorithms have been successfully used in knowledge discovery. These algorithms use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring ...
  • Khaing, Ye Ye; Pearl (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recovering the static structure of legacy source code is important in program understanding. A complex system can be simplified by a model exposing only some aspects of the system. In this system, we apply one of the most ...
  • Zaw, San Kyaw; Kyu, Khin Kyu; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In data and telecommunication, cryptography is necessary when communicating over untrusted medium. With the development of network and software technology, digital signature becomes more and more important for the ...
  • Khaing, Thal Ei; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Digital image encryption/decryption is to transform a meaningful image into a meaningless or disordered image in order to enhance the power to resist invalid attack and in turn enhance the security. This paper presents a ...
  • Zan, Hnin Wai; Thein, Thin Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents information of most famous Bagan pagodas and the similar information of pagodas among the famous Bagan pagodas by using Apriori Algorithm. Nowadays, people are quite busy as they are occupied with their ...
  • Khin, Naing Naing; Lwin, Win Thein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Heart Disease was the major cause of causalities in most of the countries. According to the medical records, heart disease kills one person in very sort time. Classification and prediction are the forms of data analysis ...
  • Aye, Khin Myo; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surprising, because the conditional independence ...
  • Sin, Yi Mon Shwe; Thein, Thin Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper implements the planning ceremony by using decision tree induction algorithm. Nowadays, ceremonies are held by many people in various form such as wedding, birthday, promotions, award and so on. Since there are ...
  • Khine, Win Lei Kay; Khine, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Electronic Commerce (E-commerce) has become one of the essential characteristics in the Internet era. Nowadays, E-commerce is growing rapidly in the Internet, and has become a complement to the usual business activities ...
  • Aung, Moh Moh Nyunt; Chan, Khin Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the network bandwidth and delay increase, TCP becomes inefficient. The protocol, named User Datagram Transport (UDT), or UDP (User Datagram Protocol) based data transfer protocol, works above UDP with reliability. UDT ...
  • Wai, Zin Mar; Win, Kalyar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping the data into classes or clusters. Objects within a class have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. In this paper we ...
  • Reen, Mau; Khaing, Khathy (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Image compression is very important in many applications, especially for progressive transmission, image browsing, multimedia applications. Image contains large amounts of information that requires much storage space, ...

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