UCSY's Research Repository

Browsing International Conference on Computer Applications (ICCA) by Title

Browsing International Conference on Computer Applications (ICCA) by Title

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  • Public Transportation System for Yangon Region 
    Zar, Myat Thu; Sein, Myint Myint (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Building public route transportation system is the key technology for urban areas. Most of citizens in Yangon area make use of public transportation such as bus, taxi, rail and so on. In this system, A* algorithm is used ...
  • Quality of Service Aware Segment Routing in Software Defined Network 
    Mon, Ohnmar Min; Mon, Myat Thida (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The next generation Internet demand for high quality of service (QoS) guarantees to deliver different applications for end users. Quality of Service (QoS) is difficult to guarantee the performance requirements for various ...
  • Query Dependent Ranking based on PCA-based Query Representation 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Ranking is a crucial part of information retrieval. Queries describe the users’ search intent and therefore they play an essential role in the context of ranking for information retrieval. The diverse feature impacts ...
  • Query Dependent Ranking for Information Retrieval Based on Query Clustering 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’ ...
  • Query Dependent Ranking for Information Retrieval by Using Query-Dependent Loss Function 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’queries ...
  • 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 ...
  • 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 ...
  • 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 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 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Reducing Latency Gaps in Client Server Environment with Overclocking Technology 
    Aung, Win Win (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    In client server communication, the client is completely dependent on the server for computation logic; while, the application logic is performing for the client. The latency measurement is important and this paper ...
  • Reducing the Size of Feature Set by Using Modified MCA 
    Khaing, Myo (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Reducing the size of a feature set, without altering the original representation, is an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves ...

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