Local Conference on Parallel and Soft Computing: Recent submissions

  • Comparison and Performance Evaluation of Web Application and Cloud Application Based On Platform as a Service Framework 
    Lwin, Htet Htet; Naing, Thinn (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Cloud computing is an internet-based model of computing, where the shared information, software and resources are provided to computers and other devices upon demand. Cloud computing provides enormous business opportunity. ...
  • Expectation Maximization (EM) Algorithm for Classification in Medical Disease: Tuberculosis (TB) 
    Chain, May Thazin; Tun, Zaw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Classification is one of the most popular data mining tasks with ...
  • Clustering Homogeneous and Heterogeneous XML Documents by Summarizing Edge 
    Thu, May Myat; Tun, Khin Nwe Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Extensible Markup Language(XML) is a markup language that defines a set of rules for encoding documents in format that is both humanreliable and machine-reliable. Large amount of XML documents on the web require the ...
  • Single-Linkage Clustering Approach for Kdd Dataset 
    Myint, Yu Mon; Khaing, Ma (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents a type of clusteringbased intrusion detection using single-linkage clustering algorithm.Basic methods for clustering include the Linkage based and K-means techniques.The K-means method generally produces ...
  • Web Page Classification using Random Subspace Ensemble 
    Su, Htwe Htwe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    More or more data and content are published on the web on the daily basis. The categorization of classification of web content according to their types or category is essential for organization such as web portal, news ...
  • Implementation of the Noise Reduction System with Adaptive Noise Control (ANC) 
    Oo, Zin May; Aye, Hnin Hnin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Noise acts as a disturbance in any form of communication which degrades the quality of the information signal. Adaptive noise cancellation (ANC) is an alternative technique of estimating signals corrupted by additive ...
  • Time Scale Modification of Music Signal Using Harmonic-Percussive Separation 
    Htun, Lwin Cho; Oo, Hlaing Thida (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents an algorithm for time scale modification (TSM) of music signal based on Harmonic-Percussive Separation. The main problem in time scale modification of music signal is because of transients at note ...
  • 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 ...
  • 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 ...
  • Mobile Agents based Online Examination System 
    San, Soe Moe; Phyu, Aye Lei Lei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Agent-based learning system can serve as a powerful research tool to investigate online testing and learning. The software agent can be used to assist the human users. The online examination is also testing and evaluating ...
  • Rule-based Consciousness Expert System by Abhidhamma model with Forward Chaining Technique 
    Htay, Hsu Myat; Oo, Khine Khine (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The Abhidhamma is one of the three parts of the Pali cannon, the Tipitaka, the main texts of Theravada Buddhism and is sometimes described as ‘Buddhist Psychology’ [2]. Human mind is consciousness (citta) and mental ...
  • Reduction Processing Time in Rule- Based Expert System Using Rete Algorithm 
    Ma, Tin Ma (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, many Rule-Based Expert Systems have been proposed and almost all of them assume “IF-THEN” rules. The process of matching rules is performed by the data-driven approach, Forward Chaining method, in the ...
  • Design Test-bed for Driving System Automation 
    Khaing, Kyaw Thet; Khine, Kyaw Thet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This system is mainly highlighted on the microcontroller based on automatic line following system. In the last few years, there has been a lot of interest in the area of automatic operations. This is partly due to the ...
  • Implementation of Hypothyroid Diagnosis System using Reduct Generation Algorithm 
    Htay, Ma; Hlaing, Swe Zin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Thyroid is one of the most common diseases found in human being, it is not a deadly disease, but it is chronic disease which can give rise to other diseases. Hypothyroidism is simply not enough thyroid hormone and ...
  • Implementation of Real-Time Business Intelligence by using SSRS 
    Hlaing, Nwe Nwe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Business Intelligence (BI) and Data Warehousing (DW) have enjoyed immense popularity and success over the last years and now play a key role in strategic decisionmaking. Today, Real-Time Business Intelligence (RTBI) ...
  • 2D image reconstruction using bicubic interpolation 
    Htwe, Ah Nge (Ninth Local Conference on Parallel and Soft Computing, 2018)
    2D image reconstruction is an important task in many applications of computer vision. The objective of image reconstruction is to recover a degraded image based on mathematical and statistical models. When an image is sent ...
  • Implementing Association Rules Generator using CHARM 
    Aung, Zay; Naing, Thinn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In traditional association rule mining that based on Apriori-like algorithm, all frequent itemsets are computed and strong association rules are then generated from the set of all frequent itemsets as a next step. By ...
  • Clustering the Navigation Pattern Using Graph Partitioning 
    Cho, Ei Mon; Soe, Khin Thanda (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    World Wide Web become as information gateway and as a medium for conducting business. People use web pages to retrieve information which may need or demand. Web mining can provide the navigation link to user by using ...
  • Searching Suitable Employee for the Work by Using Partitioning Methods 
    Nwe, Win Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Conventional database query methods are inadequate to extract useful information from huge data banks. Cluster analysis is one of the major data analysis methods, and process of grouping a set of physical or abstract ...
  • Implementation of the Diagnosis System for Heart Diseases by using Decision Tree Induction Method 
    Zaw, Lai War; Aye, Nilar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Computer have become an indispensable tool in the Health Care Industry. As technology grows rapidly many people take great interest in computer and then computer based method are used to improve the quality of the ...

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