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  • E-book shopping System with Cryptography by using RSA Algorithm 
    Kyaw, Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents e-book shopping system with cryptography by using RSA algorithm. Information security is a major issue today for any company or individual who conducts business electronically. Computer applications ...
  • E-Health System Based KED and DNA Cryptosystem 
    Naing, Htet Htet; Aye, Zin May; Naing, Soe Kalayar (ICCA, 2021-02-25)
    Today, technology change is very fast. Security and fast processing are necessary for data transformation. The health system is related to important roles in any country for its national interest. E-health care system ...
  • E-Learning System Development Using J2EE Framework Design Pattern 
    Win, Zin Sandar; Phyu, Sabai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In the context of software engineering, the design patterns are reusable solutions to common problems and are one of the key mechanisms for implementing reliable and maintainable software. Design patterns are fundamental ...
  • ECLAT-Based Association Rules Mining for Education Training Centre 
    Aung, Hsu Hmwaye; Myo, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Frequent pattern mining has become an important data mining task because finding such frequent patterns play an essential role in mining associations, correlation and many other interesting relationships among data. This ...
  • Edge-Based Facial Feature Extraction using Adaptive Canny Operator Edge Detection 
    Aung, Darli Myint (2012-02-28)
    Facial feature extraction is an essential step in the face detection and facial expression recognition frameworks. To develop a better facial expression recognition system, a good feature extraction method is needed. ...
  • EEH-MAC: Energy-Efficient Hybrid MAC Protocol in Wireless Sensor Networks 
    Zaw, Sai Maung Maung; Maw, Aung Htein; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In wireless sensor networks (WSNs), energy is a very scarce resource and has to be managed wisely in order to extend the life of the sensors. Therefore, to be energy-efficient, this paper is presented as hybrid protocol ...
  • Effect of Dynamic Local Lag Control with Dynamic Control of Prediction Time in Joint Haptic Drum Performance 
    Sithu, Mya; Ishibashi, Yutaka; Fukushima, Norishige (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In this paper, we handle joint performance of a networked haptic drum system where two users play a drum set in a 3D virtual space with the same rhythm at the same tempo. In order to improve the interactivity, we propose ...
  • Effect of Prediction Control in Remote Haptic Control System 
    Lei, Wyne Lei; Ishibashi, Yutaka; Mya, Khin Than (ICCA, 2021-02-25)
    In this paper, we examine the effect of prediction control in a remote haptic control system by Quality of Experience (QoE) assessment. In the system, a user operates a haptic interface device (just called a haptic device ...
  • The Effect of Radiation from Daily-use Appliances in Everyday LIfe 
    Aye, Khin Thida; Lwin, Ohnmar (University Journal of Science, Engineering and Research( 2019), 2019)
    Basic approaches to radiation protection are consistent all over the world. The international commission on Radiological Protection (ICRP) recommends that any exposure above the natural background radiation should be kept ...
  • The Effect of Security on Performance in a VoIP Network using An Analytical Simulator 
    Nhway, Ohnmar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-04-05)
    Nowadays, Voice over IP (VoIP) is a major and challenging task for communication technology. In this paper, we focus on VoIP which transmits voice over packet switched networks such as LANs or WANs. Adding security ...
  • Effect of Stabilization Control for Cooperation between Tele-Robot Systems with Force Feedback by Using Master-Slave Relation 
    Kanaishi, Kazuya; Ishibashi, Yutaka; Huang, Pingguo; Tateiwa, Yuichiro (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    By experiment, this paper investigates the effect of the stabilization control with filters to suppress instability phenomena for tele-robot systems with force feedback by using a master-slave relation. As the quality ...
  • Effective Analytics on Healthcare Big Data Using Ensemble Learning 
    Mung, Pau Suan; Phyu, Sabai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Healthcare big data is a collection of record of patient, hospital, doctors and medical treatment and it is so large, complex, distributed and growing so fast that this data is difficult to maintain and analyze using ...
  • Effective Anomaly Detection Using Hidden-Semi Markov Model 
    Wutyi, Khaing Shwe; Thwin, Mie Mie Su (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Anomaly detection studies the normal behavior of the monitored system and then looks out for any difference in it to detect anomalies or attacks. It is able to detect new attacks as any attack is assumed to be different ...
  • Effective Emergency Response System by Using Improved Dijkstra’s Algorithm 
    Phyo, K-zin; Sein, Myint Myint (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Everyday a large number of human lives and properties are lost due to emergency events. When emergency case happened, there are some problems that not only the delay in calling the emergency service teams to get the ...
  • Effective Feature Selection for Preprocessing Step of Classification Using Modified-MCA 
    Khaing, Myo; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    A novel metric that integrates the correlation and reliability information between each feature and each class obtained from Multiple Correspondence Analysis (MCA) is currently the popular solution to score the features ...
  • Effective Features for Detection of Remote Access Trojans 
    Yin, Khin Swe; Khine, May Aye (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    As companies in every industry sector around the globe have lost, stolen or leaked their sensitive data to the outside world every year, the security of confidential information is increasingly important. Remote Access ...
  • Effective Features Selection for Detecting Fake Accounts on Twitter 
    Swe, Myo Myo; Myo, Nyein Nyein (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social networking sites have turned out to be extremely well known as of late. Most internet users utilize them to discover new companions, refreshes their current companions with their most recent feelings and thoughts. ...
  • Effective Informative Content Extraction: Segmentation of Web Page into Semantic Blocks 
    Win, Chaw Su; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Web pages consist of both informative and non-informative content for the users. Web Page Indexing System, Web Page Classification and Clustering System and Web Information Extraction System that help the users to support ...
  • Effective Learning for Higher Education Using Jigsaw Approach 
    Khine, Su Mon; Nyunt, Thi Thi Soe; Maw, Aye Aye; Min, Soe Soe (Myanmar Universities' Research Conference, 2019-05-25)
    The use of cooperative and active learning approach is an important role for education system. Although the cooperative technique, Jigsaw have been accepted and applied in many countries’ educational environment over ...
  • Effective Malicious Features Extraction and Classification for Incident Handling Systems 
    San, Cho Cho (University of Computer Studies, Yangon, 2019-10)
    Each and every day, malicious software writers continue to create new variants, new innovation, new infection, and more obfuscated malware by using packing and encrypting techniques. Malicious software classification and ...

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