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Browsing Fourth Local Conference on Parallel and Soft Computing by Issue Date

Browsing Fourth Local Conference on Parallel and Soft Computing by Issue Date

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  • 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 ...
  • Myint, Swe Swe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping the data into classes of similar objects. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other ...
  • 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 ...
  • 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 ...
  • Aung, Aye Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    During recent years, Distributed Hash Table (DHTs) have been extensively studied through simulation and analysis. As a fundamental problem in DHT based P2P system, lookup consistency and load balancing is important to avoid ...
  • Lin, Than Than; Sandar, Khin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many application domains, classification of complex measurements is essential in a diagnostic process. Correct classification of measurements may in fact be the most critical part of the diagnostic process. The main ...
  • Phyu, Mya Kyar; San, Khaing Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Sequential pattern mining is to find all frequent sequential pattern ...
  • Htay, Hsint Hsint; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Image inpainting involves filling in part of an image using information from the surrounding area. Applications include the restoration of damaged photographs and movies and the removal of selected objects. A framework for ...
  • Mon, Yi Yi; Nge, Mi Mi (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Content-based image retrieval (CBIR) system retrieves relevant images based on their contents such as color, texture, shape, volume, spatial constraints and etc. In this paper, a CBIR system is implemented by using ...
  • Htun, Kay Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC microcontroller has become a real powerhouse with regards to available support. In many ways, the PIC microcontroller has more support available than other electronic devices. Microcontroller is a complete computer ...
  • Mon, Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper provides Online Job Searching.The main purpose of this system is to develop an online job for jobseekers and employers in finding job searching and employees searching at online information using agent approach. ...
  • Aung, Thida; Aung, Khin Sandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper intends to provide estimating the profit for Automobile Manufacturing Industry. Computerized decision support systems are needed for speedy computation increased productivity, technical support, quality support ...
  • Nwe, Thiri; Hlaing, Swe Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Analyzing the program conditional control flow the important technique using in program execution. Software errors are often caused mostly due to the complexity of software, programming errors, time pressure and changing ...
  • Aung, Nwe Ni; Naing, Thinn Thu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Ontologies are set to play a vital role in the "Semantic Web", extending syntactic interoperability to semantic interoperability by providing a source of shared and precisely defined terms. An ontology is a formal ...
  • Kyaw, May Phyu; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Security requirements approached at the enterprise level initiate the need for models that capture the organisational and distributed aspects of information usage. Such modifies have to express organization specific security ...
  • 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 ...
  • 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 ...
  • Thuai, Khaing Mar; Thant, Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision Tree algorithms are the most popular algorithms for classification in data mining field. The main goal of classification is prediction of the categorical labels (classes). In this system, ID3 algorithm is used to ...
  • Wai, Khin Myo; San, Khin Cho (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Document clustering is text processing that groups documents with similar concept. Clustering is defined as a process of partitioning a set of objects (patterns) into a set disjoined group (clusters). Its goal is to reduce ...
  • Thaingar, Khin; Sandar, Khin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In medical domain, it is very difficult to get correct diagnosis because there are many possible diseases in each case. The goal of this paper is to develop a medical diagnosis system. This system can provide to identify ...

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