International Conference on Computer Applications (ICCA): Recent submissions

  • Video Steganalysis Using Histogram and Texture Features 
    Htet, Thu Thu; Mya, Khin Than (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Information hiding in video streams with the development of network and multimedia technologies has played an important role in the steganographical field, and correspondingly video stegnanlysis techniques are catching ...
  • Performance analysis of q-valued dimensions Parametric Vector Neural Network classifier 
    Soe, Nwe Nwe; Htay, Win (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Neural network ensemble techniques have been shown to be very accurate classification techniques. However, in some real-life applications, a number of classifiers required to achieve a reasonable accuracy is enormously ...
  • Resource Management Strategy for Replication and Migration 
    Myint, Khin Swe Swe (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Data centre virtualization creates an agile environment for application deployment. Applications run within one or more virtual machines and are hosted on various servers throughout the data centre. It improves resource ...
  • Efficient Action Recognition based on Salient Object Detection 
    Aye, Hnin Mya; Zaw, Sai Maung Maung (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Action recognition has become an important research topic in the computer vision area. This paper presents an efficient action recognition approach based on salient object detection. Recently, many features were directly ...
  • Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees 
    Thein, Yadana; Htike, Theingi (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Competitive Neural Trees (CNeT) are widely used for classification in pattern recognition. This paper applies this technique for recognizing of Myanmar printed character s . This paper involves three important ...
  • Analytical Framework of Land Use/Cover Change Detection using Satellite Image 
    Aung, Su Wit Yi; Khaing, Soe Soe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Land use and land cover change has become a vital component in current strategies for managing natural resources and monitoring environmental changes. Analyzing the changing of hydrological area, vegetation area and ...
  • Removing Unnecessary Map-based Data for Search Space Reduction 
    Hlaing, Wai Mar; Sein, Myint Myint (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Smartphones and ubiquitous devices are more and more popular and used for map based services in nowadays. Map based Services are especially used for transportation systems. In this system, optimal path will be recommended ...
  • A nalytical study on server consolidation algorithm with virtual machine migration 
    Hlaing, Pa Pa (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Energy consumption of data centers has been increasing continuously due to rising demands of computational power. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. ...
  • Keyword Search in Web-based Geographic Information Retrieval System 
    Myint, Aung Zaw; Tun, Khin Mo Mo (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Web-based geographic information search engines are prominently used in recent years. Spatial databases have both spatial and textual descriptions. Geographic web search engine retrieves the nearest objects that are ...
  • Using Efficient Deduplication Method in Large-scale Distributed Storage System 
    Phyu, Myat Pwint; Thein, Ni Lar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructured data. Availability and reliability are the basic properties of the most storage system. Replication which is the ...
  • Automatically Generating RDF Instances from Relational Data Sources 
    Tun, Khin Nwe Ni; San, Kyawt Kyawt (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    The development of Semantic Web mainly depends on enrichment of Semantic Web metadata. The semantic web represents metadata as a relation of triples using the graph based data model, Resource Description Framework (RDF) ...
  • 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 ...
  • A Comparison of Big Data Analytics Approaches Based on Hadoop MapReduce 
    Aye, Kyar Nyo; Thein, Ni Lar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Data continue a massive expansion in scale, diversity, and complexity. Data underpin activities in all sectors of society. Achieving the full transformative potential from the use of data in this increasingly digital world ...
  • Social Trends Analysis using Efficient Burst Detection in Adaptive Time Windows 
    Khaing, Phyu Phyu; Nwe, Nwe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Real time monitoring of twitter tweet streams for trends has popularity in the last decade. This provide effective information for government, business and other organization to know what happening right now. The task ...
  • Fault Tolerance System based on Asynchronous Virtual Machine Replication 
    Tun, Thant Zin (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Virtualization is a key piece of modern data center design. Virtualization provides the possibility of whole machine migration and thus enables a new form of fault tolerance. A replication mechanism is proposed to provide ...
  • Model Driven Engineering: Automatic Code Generation of Android from UMPLE 
    Thu, Ei Ei; Nwe, Nwe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Nowadays, the significance of automated generation of object-oriented code from design models has increased due to its benefits, such as, cost reduction and time efficiency. This paper proposed a code generator for ...
  • Efficient Data Prefetching Approach for PC-Cluster based Cloud Storage System 
    Yee, Tin Tin; Naing, Thinn Thu (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Cloud storage system architecture and design plays a vital role in the cloud computing infrastructure in order to improve the storage capacity as well as cost effectiveness. To address this need, the cost effective PC ...
  • Co2Cloud: A Consistency Model for Collaborative Works on Cloud 
    Aye, Yin Nyein; Naing, Thinn Thu (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Consistency maintenance is an important issue in collaborative work systems that are activated in both traditional distributed system and cloud system. Collaborative Works are computer based systems that support groups of ...
  • An Insight of Critical Success Factors for Non-profit Organization ERP Implementation Process 
    Khaing (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Non-Governmental organizations (NGOs) have a significant role in the development of the society because they play a vital role in the interest of general public. There are many problems faced by those NGOs regarding ...
  • Modified-MCA: An Effective Feature Selection 
    Khaing, Myo; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Feature selection is often an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves the performance of machine learning algorithms. In this ...

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