Conferences: Recent submissions

  • Yi, Soe Lai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Record matching is the task of identifying records that match the same real world entity. Detecting data records that are approximate duplicates, is an important task. Datasets may contain duplicate records concerning the ...
  • Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Ko, Myat Ko (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Music is a link between cognition and emotion, and people are not able to share same feeling for a song. There has a need to process vast qualities of musical data. One of the operations is music emotion classification ...
  • San, Myat Kaung; Oo, Hlaing Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system is based on the microcontroller based reversible motor speed control system. The sun tracking system uses a reversible motor to rotate the desire direction. A DC motor drives forward and backward direction ...
  • Kyaw, San Ohnmar; Zar, Thin Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    File Transfer Protocol (FTP) is the standard mechanism for copying a file from one host to another. Transferring file from one computer to another is one of the most common tasks expected for networking and internetworking ...
  • Linn, Kyi Chan Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Audio-Fingerprints (AFPs) are essential characteristics of digital audio streams used to score the perceptual similarity between audio signals. Audio-fingerprinting systems extract features from the signal normally on ...
  • Aung, Hninn Mar; Chan, Wint Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Multi-agent Recommender System exploits a collection of interacting agents jointly executing the recommendation generation process. Each agent processes part of the recommendation and/or the interaction, and the established ...
  • Tow, Naw April (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In real world, there are many systems or classification such as smell, light, temperature, speed. This paper presents vehicle speed classification and PIC microcontroller is used to classify as very high speed and high ...
  • Thu, May Phyo; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Internet and networks applications are growing very fast , so the needs to protect such a applications are increased. Data encryption / decryption is used to securely transmit data in open networks . Each type of data has ...
  • Khaing, Myint Soe; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-based expert systems are a way to store and manipulate knowledge to interpret information in a useful way. They are often used ...
  • Hlaing, Thazin; Pearl (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Personalization is a new system development approach for designing information systems that change configurations based on each user's needs and preferences. If it is possible to recommend products to customers’ liking at ...
  • Mon, Hsu Myat; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web personalization can be defined as the process of customizing the content and structure of a Web site to the specific and individual needs of each user taking advantages of the user’s navigational behavior. Recommender ...
  • Naing, Win Lai Lai; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Clustering is an essential data mining task with numerous applications. Clustering is the process of grouping the data into classes or clusters, so that objects within a cluster have high similarity in comparison to one ...
  • Myint, Ohn Mar; Hlaing, Swe Zin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web-based tutoring systems are increasingly popular due to their appeal over traditional paperbased textbooks. Whereas many tutoring systems are static HTML, the Bayesian intelligent tutoring system can help a student ...
  • Pyone, Mi Mi; Aung, Hninn Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper is intended to implement the Rule-based system for staff management. There are many rules in the system. These rules are predefind rule.The system works with If- THEN rules and with input data provided by the ...
  • Yi, Khone Mar; Zar, Tin Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The messaging system has become the most popular for mobile communication in the world. This paper is intended to implement secure messaging system for mobile communication. To encrypt / decrypt the message between the ...
  • Win, Cherry Kyaw; Zar, Thin Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, Internet and network applications are growing very fast. Thus, people need to protect the information and to thwart the hackers. People interconnect their secret data by using cryptographic algorithms. But, the ...
  • Khaing, Khwar Nyo; Yee, Myint Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper implements suggestion for matriculation examination result using decision tree induction algorithm. To be a well-developed human society, there must not be a great gap among the youths and so it is very necessary ...
  • Aye, Theingi; Phyu, Aye Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data classification is the process of building a model from available data called the training dataset and classifying object according to their attributes. A derived model may be represented in various forms, such as ...
  • Mhon, Gant Gaw Wutt; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web usage mining is the discovery of user access patterns from Web usage logs. The paper presents two XML (Extensible Markup Language) 1.0 applications and a web data mining application which utilizes it to extract web ...

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