UCSY's Research Repository: Recent submissions

  • 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) ...
  • Replication Based on Data Locality for Hadoop Distributed File System 
    Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (9th International Workshop on Computer Science and Engineering (WCSE 2019), Hong Kong, 2019-06-15)
    Replication plays an important role for storage system to improve data availability, throughput and response time for user and control storage cost. Due to different nature of data access pattern, data popularity is ...
  • Big Data Analytics on Large Scale Shared Storage System 
    Aye, Kyar Nyo; Thein, Ni Lar (Tenth International Conference on Computer Applications (ICCA 2012), 2012-02-28)
    In today’s world, almost every enterprise is seeing an explosion of data. They are getting huge amount of digital data generated daily. Such huge amount of data needs to be stored for various reasons. Now the important ...
  • Dynamic Replication Management Scheme for Distributed File System 
    Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (1st International Conference on Big Data Analysis and Deep Learning Applications (ICBDL), 2018)
    Nowadays, replication technique is widely used in data center storage systems to prevent data loss. Data popularity is a key factor in data replication as popular files are accessed most frequently and then they ...
  • Dynamic Replication Management Scheme for Cloud Storage 
    Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (1st International Conference on Advanced Information Technologies (ICAIT), Yangon, 2017-11-01)
    Nowadays, replication technique is widely used in data center storage systems to prevent data loss. Data popularity is a key factor in data replication as popular files are accessed most frequently and then they ...
  • Security of Real-time Big Data Analytics Pipeline 
    Thein, Khin Me Me; Nyunt, Thi Thi Soe; Aye, Kyar Nyo (International Journal of Advances in Electronics and Computer Science (IJAECS), 2017-02)
    In today’s world, real-time data or streaming data can be conceived as a continuous and changing sequence of data that continuously arrive at a system to store or process. Big Data is also one of the hottest research ...
  • A Platform for Big Data Analytics on Distributed Scale-out Storage System 
    Aye, Kyar Nyo; Thein, Thandar (International Journal of Big Data Intelligence (IJBDI), 2015)
    Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. Hadoop-based platform emerges to deal with big ...

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