UCSY's Research Repository

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Browsing Conferences by Title

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  • 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 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 ...
  • Recommender System for Fashion Design 
    Aung, Thiri; Htoon, Ei Chaw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender system applies knowledge of discovery technique to the problem of making personalized recommendations for information, products, or services. In this paper, an effective framework for combining content and ...
  • Recommender System for Movies using Collaborative Filtering 
    Hlaing, Nan Yu; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are programs which attempt to predict items that a user may be interest in. Recommender systems acts personalized decision guides, aiding users in decisions on matter related to personal taste. Recommender ...
  • Recommender System for Movies using Content-based Filtering 
    Phyu, Su Pwint; Thein, Lay Myat Myat (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information filtering systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. Recommender systems are programs which attempt to predict items that a user may ...
  • Recommender System for Online Learning Using Personalization with K-Means Clustering Algorithm 
    Aein, Hsu Pan; Win, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Recommender Systems are software tools and techniques providing suggestions for items to be of use to a user. Recommder systems have proven to be valuable means for online users to cope with the information overload and ...
  • Recommender System for Pharmacy Shop By using Item-Based Collaborative Approach 
    Oo, Nwe Ni; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems use the opinions of a community of users to help individuals in that community more effectively identify content of interest from a potentially overwhelming set of choices. One of the most successful ...
  • Recommender System for Pharmacy Using Multi-Agent 
    Aung, Hninn Mar; Chan, Wint Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Multi-agent Recommender System exploits a collection of interacting agents jointly executing the recommendation generation process. Each agent processes part of the recommendation and/or the interaction, and the established ...
  • Recommender System Using Item-Based Collaborative Filtering 
    Soe, Cherry; Khaing, Thet Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The tremendous growth in the amount of available information and the number of visitors to Web sites in recent years poses some key challenges for recommender systems. Recommender systems form a specific type of information ...
  • Recommending Generalized Products in Collaborative Filtering 
    Htun, Aye Kaday; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are particularly useful for computer users, here decisions must be normally taken in a short time and the effort required for interacting with the system must be limited as much as possible. The ...
  • Record Matching System for Publication Dataset using Multi-pass Sorted Neighborhood Method 
    Yi, Soe Lai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Record matching is the task of identifying records that match the same real world entity. Detecting data records that are approximate duplicates, is an important task. Datasets may contain duplicate records concerning the ...
  • Recovering Nodes Failure in Replica System by Using Data Replacement Algorithm in a HDFS Cluster 
    Zaw, Myint; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    HDFS (Hadoop Distributed File System) is designed to store big data reliably, and it has been distributed file. However, it is not replacement for failure nodes. Replication technology is a key component in every computing ...
  • Recovering UML Class Diagram from Java Source Code 
    Khaing, Ye Ye; Pearl (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recovering the static structure of legacy source code is important in program understanding. A complex system can be simplified by a model exposing only some aspects of the system. In this system, we apply one of the most ...
  • Reducing Error Rate for ASR using Semantic Error Correction Approach 
    Myint, Theint Zarni; Khaing, Myo Kay (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Many application environments have already used speech interface. But the low speech recognition rate makes it difficult to extend its application to new fields. In the human-computer interaction through spoken dialogue ...

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