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  • Query Processing for RDF data Using XML Repository 
    Hnin, Win Lai; Tun, Khin Nwe Ni (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    The Semantic Web, which represents a web of knowledge, offers us new opportunities to search for knowledge and information. To harvest such search power requires robust and scalable data repositories that can store RDF ...
  • Query-Dependent Ranking for Web Information Retrieval 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In information retrieval, the users’ queries often vary a lot from one to another. Most IR systems use a single fixed ranking strategy to support the information seeking task of all users for all queries irrespective ...
  • Query-Focused Multi-Document Summarization for Earthquake News Written in Myanmar Language 
    Kyaw, Myat Myitzu (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Due to the fast growth of online information on the Internet, there are a large number of journals, magazines, information portals and personal blog sites written in Myanmar language have now online editions. But there ...
  • Querying Temporal Database System for University Staff Database 
    Phyu, Su Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A temporal database is a database with built-in time aspects or a temporal data model and a temporal version of structured query language. More specifically the temporal aspects usually include valid time and transaction ...
  • Ranking Education Level in Myanmar using Weighted Sum Model 
    Myint, Kyi Kyi; Thein, Nilar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The educational sector in Myanmar is facing with numerous challenges such as lack of infrastructural and human resources, poor accessibility, imbalance between demand and supply, among others. Defining the education level ...
  • Raspberry Pi Based Image and Video Capturing of Wireless Access Point in ETC System 
    Tun, Aung Naing; Zaw, Nay Win; Win, Hnin Le (National Journal of Parallel and Soft Computing, 2019-03)
    This project proposes the Raspberry based toll collection system for toll tax collection. Current toll collection systems in Myanmar make use of manual cash transactions. Exponential growth in traffic is observed in ...
  • RBF Neural Network Based on Clonal Selection Algorithm for Medical Data Diagnosis 
    Thandar, Aye Mya; Khine, May Aye (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In artificial neural networks, the parameters may include the number of layers, the number of hidden units, the activation function and the algorithm parameters such as learning rate for optimization. Many researchers ...
  • RDB-XML Security Model based on Masked Relations 
    Kham, Nang Saing Moon; Thin, Lwin Mar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Relational databases get more and more employed in order to store the contents of a web site. At the same time, XML is a fast emerging technology, which is the standard of data exchange over the web and due to the new ...
  • Real Time Alert System for Driver Fatigue Detection System 
    Khine, Khin May (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Driver Fatigue detection is an important role in transportation for safety system. Driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries and deaths. This thesis ...
  • Real Time Application Scheduling on A Private Cloud Environment 
    Kyi, Hsu Mon; Naing, Thinn Thu (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Cloud computing is a scalable distributed computing environment in which a large set of virtualized computing resources, different infrastructures, various development platforms and useful software are delivered as a ...
  • Real Time Monitoring System using ZigBee based Wireless Sensor Network 
    Lwin, Nyein Nyein; Mya, Khin Than (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    For the contradictory issues of the transmission rate and flexibility in the current temperature system, this paper describes the design of a simple low cost microcontroller based real time monitoring. It deals with ...
  • Real Time Motion Detecting and Tracking System for Video Surveillance Security System 
    Aung, Win Sandar; Thein, Yadana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today, the smart surveillance security system is controlled automatically not only in the business environment but also in the personal home security management. The integration of the Arduino and the Android based ...
  • Real-time Big Data Analytics for Feature Selection on Apache Spark 
    Thant, Lwin May; Phyu, Sabai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Real-time data analysis is a key research in many domains. It can be applied to pre-existing or prescriptive models. The effective result is that monitor the account and review on a real-time action. Apache spark machine ...
  • Real-Time Human Motion Detection and Tracking with Learning based Representation 
    Win, Sandar; Thein, Thin Lai Lai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Nowadays, real-time information is very important and learning based human motion has fascinated range from detection to tracking state in Computer Vision. In this system, the real-time videos are used to detect, track, ...
  • Real-Time Human Motion Detection, Tracking and Activity Recognition with Skeletal Model 
    Win, Sandar; Thein, Thin Lai Lai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Human activity recognition with 3Dskeletal model has been attracted in a lot of application area. Representations of human based on 3D perception have been occurred prevalent problems in activity recognition. In recent ...
  • Reassembling Fragments in Image Reconstruction 
    Oo, Tin Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The reassembly of fragments to reconstruct images or objects is a problem often encountered in several applications, ranging from archaeology to medicine. In this paper, a method is proposed for reassembling two fragments. ...
  • Recognition of Multiple Emotion States of Words using Multi-engine Voting System 
    Wu, Yunong; Kita, Kenji; Matsumoto, Kazuyuki (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    In this paper, we propose a multi-engine voting system to recognize the multiple emotion states expressed in the Chinese words according to the word identity and the context information, which can better reflect the people's ...
  • Recommendation in Online Electronic Devices Shopping System using Item-to-Item Collaborative Filtering Method 
    Khine, May Thin Thin; Aung, Khaing Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The World Wide Web information grows explosively in the Internet and people encounter problem to pick some correct things from the overwhelming set of choices. The recommender systems help them choose something they ...
  • Recommendation System for Education Service Using Multi Agent 
    Khaing, Wai Lwin Lwin; Kalayar, Nan Saw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, the world is in knowledge age. Variety of new technologies and supports are being evolved for education. One of the most well known systems is recommendation system. Recommender system uses the opinions of a ...
  • Recommendation System for Library using Hybrid with Pearson’s Correlation and Slope One Algorithm 
    Swe, Thuzar; Win, Thinn Thinn (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender System generates meaningful recommendations to users for items or products that might be interesting for them. It can help people to find interesting things and is widely used with the development of ...

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