Conferences: Recent submissions

  • Embedding Algorithm for Data Hiding using Steganographic Technique by File Hybridization 
    Soe, Akari Myint; Cho, Zarli (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The Internet as a whole does not use secure links, thus information in transit may be susceptible to interception as well. The important of reducing a chance of the information being detected during the transmission is ...
  • Image Authentication System based on Digital Watermark and Digital Signature 
    Win, Ei Shwe Sin; Mon, Myat Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper to protect copyright, ownership and content integrity of digital media including digital watermarking techniques. The primary motivation of this article is to study the principles of cryptographic primitives ...
  • Classification Process of Applicant’s data in a Job Agency using Rule-Based Classification Method 
    Lwin, Khine Pyae Sone; Than, May Lwin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, everybody has to work and so, they search the associated job balancing with their qualifications. For every graduated people have many opportunities in every workplace. But, they may not be free to search one job ...
  • Detecting Tropical Cyclone Using Infrared Satellite Images 
    Hsan, Thu Zar; Sein, Myint Myint (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Tropical Cyclone (TC) are among the most destructive natural disasters. Analysis of TC image from infrared satellite images is an active field of research. Many algorithms were developed in past few decades on TC image ...
  • Implementation of Paddy Production Information System 
    Soe, Htet Htet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The rapid growth of technology has largely eased the access to information. At the same time, it is increasingly difficult for human people to collect, filter, evaluate and really use the vast amount of information. ...
  • Decision Support System for International Prostate Symptom Score on Case-Based Reasoning 
    Soe, Hsu Yadanar; Thei, Mon Mon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, medical diagnosis reasoning is a very important application area of computer-based system. There is a wealth of data available within the healthcare systems. There is a lack of effective analysis tools to discover ...
  • Geometric Kinect Joints Computing for Human Fall Recognition 
    Htoo, Chit Kyin; Sein, Myint Myint (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    This paper proposes an computing analysis on human geometric shape features to detect a fall behavior. The system mainly computes the changes on human orientation (torso angle) and centroid height via the human skeleton ...
  • Frequent Itemsets Mining for Book Renting System By Using FP-Growth 
    Tun, Sandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent itemsets mining leads to the discovery of associations and correlations among items in large transactional or relational data sets. Frequent itemsets mining is market basket analysis. This paper presents to analyzes ...
  • Page Segmentation and Document Layout Analysis for Scanned Image by using Smearing Algorithm 
    Htun, Nay Win; Ko, Lin Min (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents a feature-based system which utilizes domain knowledge to segment and classify scanned image documents. Documents usually consists of a mixture of text and image. Text block possesses an interesting ...
  • Trust Prediction Framework for Social Networking 
    Sint, Hla Sann; Oo, Khine Khine (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In today's hyper-connected society, understanding the mechanisms of trust is crucial. Trust issues are critical to solving problems. Trust phenomenon has been extensively explored by a variety of disciplines across the ...
  • Developing E-Mail Classification by using Artificial Immune System (AISEC) 
    Thant, Lwin May; Mar, Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Electronic mail is one of the primary applications of the Internet. With the increase in the use of email on the Internet, an email classification technology is increasing. In this paper, the immune based algorithm called ...
  • Improving the Accuracy of Classifier with the Ensemble of Centroid Based Algorithms 
    Khine, Phyo Thu Thu; Win, Htwe Pa Pa (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Classification accuracy improvement is an essential process in data analysis problems and large amount of data generated in extra bytes per year are produced by many real world application. There are many enhancement ...
  • Web-based Learning System based on Semantic Web Technology 
    Htwe, Than Than; Tun, Myint Thu Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web based learning is a fast, just-in-time, and non-linear learning process, which is widely applied applications of semantic web technology in distributed and dynamic environments such as on the World Wide Web. The semantic ...
  • An Approach to CRM: Usage Behavior Analysis with K-Means Algorithm 
    Kyaw, May Thu; Lwin, Mar Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, information and communication technologies are developing with great speed. In the advent of information era, information technology has developed rapidly and has become significant for every business, particularly ...
  • Information Gain Measured Feature Selection to Reduce High Dimensional Data 
    Win, Thee Zin; Kham, Nang Saing Moon (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    While demand of the massive amount of data to be more effective and efficient mining strategies is increasing significantly, practitioners and researchers are trying to develop scalable machine learning algorithms and ...
  • Evaluation of Diagnosis according to Myanmar Traditional Medicine by using Expectation Maximization 
    Hlaing, Hnin Wai Wai; Tun, Myint Thuzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, computer based medical system is playing a role in assisting both diagnosis and treatment. Thus, this system intends to provide information for junior traditional medicine practitioners and user who interested ...
  • ICT Readiness for Education and Effective E-Learning System Approach in Myanmar 
    Aung, Htain Lynn; Kham, Nang Saing Moon (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    E-learning is the fast and essential method of delivering educational contents. E-learning can support one of the alternative ways of quality teaching and learning as well as lifelong learning. The paper argues for the ...
  • Web-based Hpa-an City Telephone Directory by implementing B-tree Database 
    Myint, Nyo Lay; Mar, Soe Hay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A directory is an essential part of people’s lives today. By accessing static directories like the paper phone books, people can easily find out phone numbers of other people, shops, organizations etc. But, all information ...
  • Detection and Elimination of Duplicate Data using Smart Token-based Method for Airline Ticket Reservation System 
    San, Hsu Mon Mon; Thwin, Khin Lay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data Cleaning is a process for determining whether two or more records defined differently in a database, actually represent the same real world object. During data cleaning, multiple records representing the same real ...
  • Discrete Artificial Bee Colony Algorithm for Community Detection in Social Networks 
    Aung, Thet Thet; Nyunt, Thi Thi Soe (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Community Detection (CD) is an interesting research area in social network analysis. It becomes NP-hard problem in large network. Many researchers use heuristic algorithms to detect communities in social network. These ...

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