UCSY's Research Repository: Recent submissions

  • Oo, Khin Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents three different types of normalization methods. Normalization is particularly useful for classification algorithm. Each normalization method is tested against the C4.5 algorithm methodology using the ...
  • San, Thin Thin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining is a step in the knowledge discovery process consisting of particular data mining algori- thms that, under some acceptable computational efficiency limitations, find patterns or models in data. Classification ...
  • Aung, Nway Htet Htet; Mar, Soe Hay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In this paper, there is describing a similarity-based retrieval framework that addresses the challenges associated with the relational database text documents. This system proposed to automatically classify documents based ...
  • Phyu, Phyu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, people widely use computer networks to communicate from one place to another. Security is needed to protect data from hacker. Cryptography is one of the primary ways to do the job. In cryptography, encryption is ...
  • Aung, Wai Zin; Mya, Khin Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Strong security notions often introduce strong constraints on the construction of cryptographic schemes: semantic security implies probabilistic encryption, while the resistance to existential forgeries requires redundancy ...
  • Aung, San Thiri; Ni, Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In this system, decision making for the type of coffee drink is implemented by using fuzzy logic. Five types of coffee drinks: coffee with soft instants, coffee with normal instants, coffee latte, coffee espresso and coffee ...
  • Lwin, Thida; Shein, Swe Swe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Software testing is a critical element of software quality assurance. One of the important tasks during software testing is the generation of testable paths. Software testing is extremely labor and resource intensive, ...
  • Myint, Than Than; Mar, Soe Hay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a form of data analysis that can be used to extract models describing important data classes or to predict future data trends. In Classification techniques, Naïve Bayesian Classifier is one of the simplest ...
  • Tun, Khin Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Traffic congestion is becoming a serious problem in more and more modern cities. Encouraging more private-vehicle drivers to use public transportation is one of the most effective and economical ways to reduce the ever ...
  • Htet, Yamin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A cost estimate establishes the base line of the project cost at different stages of development of the project. At a given stage of project development, this represents a prediction provided by the cost engineer or estimator ...
  • Yi, Win Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper is used the various data from Spinning and Weaving Factory (Sarlingyi). The products of factory have four types. There are 1/21 fiber, 1/32 fiber, 1/24 fiber and 1/40 fiber. In this system, the maximum profit ...
  • Swe, Hnin Hnin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    One of the usages of cluster analysis is to understand unknown data, given the value of several selected features. There are a lot of methods have been proposed data understanding. This paper discusses one technique of ...
  • 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 ...
  • Than, Win Thiri (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In this paper present the state of the art of web database system, client-server architecture that makes automatically exam generation and marking system. In this system consists of a user-authenticated web site and SQL ...
  • Myint, May Thu; Renu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, security is an important thing that needs to transport data from location to another safely. Therefore, many models and systems are looking for an ideal method to provide a secure environment for better of the ...
  • Yin, Nang Sein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    An expert system is a computer based system that user knowledge, facts and reasoning techniques to solve problems that normally require the abilities of human experts. Experts systems for the diagnosis of the health ...
  • Aye, Nang Yupar; Aung, Nang Soe Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper studies Searching Methods. Among the searching methods, this system emphasized the hill climbing. Hill climbing tries to expand the node closet to the goal; it evaluates nodes by using heuristics method. This ...
  • Aung, May Phyo; Win, Thidar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    GIS technology integrates common database operations such as query and statistical analysis with the unique visualization and geographic analysis benefits offered by maps. Geographical Information System (GIS) provides ...
  • 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 ...
  • 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 ...

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