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Browsing Eighth Local Conference on Parallel and Soft Computing by Title

Browsing Eighth Local Conference on Parallel and Soft Computing by Title

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  • Accuracy Comparison of Inlier Method and Random Row Method (Heart-disease) 
    Aye, Nan Saung Chan; Aye, Nilar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease is the leading cause of death in the world over the past 10 years. Researchers have been using several data mining techniques to help health care professionals in the diagnosis of heart disease patients. ...
  • Acoustic Echo Cancellation Using Discrete Cosine Transform of Least Mean Square algorithm (DCT-LMS) 
    Khaing, Htar Ei; Khin, Myat Thanda (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    One of the Digital signal processing operations, filtering can achieve acoustic echo cancellation. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. Echo is the phenomenon in which ...
  • An Active Data-aware Cache Consistency Protocol for Data-Shipping DBMS Architectures 
    Win, Htet Myak; Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a data-shipping database system, data items are retrieved from the server machines, cached and processed at the client machines, and then shipped back to the server. Cache consistency controls typically rely on a ...
  • Air-con Brand Selection Using Analytical Hierarchy Process (AHP) 
    Tun, Sithu; Aye, Nilar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Every day, each of us has to decide among lots of choices of our actions. Of course, wehave some criteria connected to the solution that impact our action. The solutions can be bothobjective and subjective[5].Last two ...
  • Analysis of Customer Buying Behavior using Equivalence Class Transformation (ECLAT) 
    Ei, Htet Htet; Lwin, Wai Wai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Many organizations are being interested in mining association rules from business records because they desire to promotethe benefit from large amount of data that are continuously stored in databases. Discovery of ...
  • Analysis of Feature Extraction Techniques for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic Speech Recognition (ASR) system is to accurately and efficiently convert speech signal into a text message independent of device, speaker or the environment. Feature extraction is the second component of ...
  • Analysis of Query System for SQL and XQuery 
    Aung, Lwin Moe; Nyunt, Thi Thi Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    SQL is a special-purpose programming language designed for managing data held in a relational database management system. XQuery is a standardized language for combining documents, databases and Web pages. Among many ...
  • Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease 
    Yee, Hnin Lai; Myint, Mu Mu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The healthcare system collects large amounts of healthcare data which unfortunately, are not mined to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes ...
  • Analysis on Efficiency of Apriori and MBAT Algorithms 
    Aung, Yu Nandar; Zaw, Ei Phyu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining is a fast developing field of computer science and technology, which are helpful to enable end users for decision making process. One of the most important data mining processes is that of Association Rule ...
  • Analyzing Calendar based Association Rule Using FP-growth Algorithm 
    Phyo, Thazin; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper is presented the mining association rules among items in a large database of sales transactions. The mining of association rules can be mapped into the problem of discovering large itemsets which appear in ...
  • Analyzing Stock Market on Small Devices through Web Services 
    Zaw, Su Mon; Hlaing, Swe Zin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper basically deals with the availability of client programs on mobile devices that can invoke the remote execution of data mining task. By implementing mobile Web Services, remote users are allowed to execute ...
  • Applying Topics Method To Identify Optimal Automobile Ranking Based On User Rrefernces 
    Yee, Khin Lynn; Maw, Lwin Lwin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    As the car market becomes more competitive, there is greater demand for innovation that provides better customer service and strategic competition. It is very important to support the decision process for people ...
  • ATM Service on MPU System using Mobile Agent Based Windows Communication Foundation 
    Win, Theingi; Win, Su Thawda (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Mobile agent can provide a convenient, efficient, and robust framework and WCF (Windows Communication Foundation) technology is used to manage the communication between the agents. In this system, we will demonstrate ...
  • Automatic Microcontroller Based Drip Irrigation System Using PID Controller 
    Oo, Aung Kyaw; Aye, Hnin Hnin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents the application of “Automatic Microcontroller Based Drip Irrigation System Using PID Controller”. A Proportional Integral and Derivative (PID) control algorithm is used for the control of almost all ...
  • AUTOMATIC VEHICLE TRACKING SYSTEM FOR MOVING OBJECT 
    Naing, Ye; Oo, Hlaing Thida (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, people use automatic system to reduce their energy and time. Modern industries are increasingly demanding process automation in all sectors. Therefore, people use automatic system for their environment.The ...
  • Categorization of computer science papers using random forest 
    Oo, Zin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic categorization of text document is difficult and time consuming. This thesis proposed a method for automatic categorization of computer science paper using random forest classifier. Decision trees are widely ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • Classification of Breast Cancer Using Radial Basic Function Neural Network 
    Oo, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the second most common form of cancer among females and also the fifth most cause of cancer deaths worldwide. The early detection is the best form of cure and hence timely and accurate diagnosis of the ...
  • Classification of Heart Disease Using Resilient Back Propagation Algorithm 
    Maung, Khin Yadanar; Lwin, Nyein Nyein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease diagnosis is a complex task which requires much experience and knowledge. Traditional way of predicting Heart disease is doctor’s examination or number of medical tests such as ECG, Stress Test, and Heart ...
  • Classification of Lung Diseases Using Decision Tree Algorithm (C4.5) 
    Khine, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, it is increasing usage of data mining techniques on medical data for discovering useful trends and patterns that are used in diagnosis and decision making. Decision Tree is one of the successful data mining ...

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