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Browsing Fifteenth International Conference On Computer Applications (ICCA 2017) by Title

Browsing Fifteenth International Conference On Computer Applications (ICCA 2017) by Title

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  • Analysis of Defuzzification Methods for Network Intrusion Detection 
    Hlaing, Thuzar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Fuzzy logic is appropriated for the intrusion detection problem because many quantitative features are involved in intrusion detection. Fuzzy logic system can handle simultaneously the numerical data and linguistic knowledge. ...
  • Analysis of Security Assessment in Software Refactoring 
    Maw, Myint Myint; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Refactoring is the process of restructuring existing computer code – changing the factoring – without changing its external behavior. It is a common approach to producing better quality software. However, its impact ...
  • 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 ...
  • Android Malware Detection Framework Based on Static Analysis 
    Soe, Yan Naung; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Mobile devices have gained tremendous popularity over the last few years. The most popular usage is the smart phones. They are accepted and admired by many mainly because they are capable of providing services such as ...
  • Automatic Myanmar News Classification 
    Nwet, Khin Thandar; Khine, Aye Hnin; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Text classification is one of the major tasks of natural language processing and included in the interesting research areas of text data mining, which is about looking for patterns in natural language text. This ...
  • Background Subtraction and Foreground Detection based on Codebook Model with Kalman Filter 
    Aung, Su Su; Kyu, Zin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Foreground object extraction is an important subject for computer vision applications. The separation of foreground objects form the background is the crucial step in application such as video surveillance. In order ...
  • Big Data Analytics for Rainfall Prediction using MapReduce-Based Regression Model 
    Khine, Kyi Lai Lai; Nyunt, Thi Thi Soe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The most significant climatic element which impacts on agriculture sector is rainfall and rainfall prediction becomes an important issue in agriculture country like Myanmar. Collecting, storing and processing of huge ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Cloud Deduplication based on Multiple Group Signature Scheme 
    Cho, Ei Mon; Koshiba, Takeshi (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Increasing the volume of redundant data by multiple clients in cloud storage becomes a vital challenge. Multiple group setting schemes have recently become important for enabling deduplication for a cloud server. We ...
  • Comparative Study of Big Data Predictive Analytics Frameworks 
    Win, Nay Aung Soe; Thwin, Mie Mie Su (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Big data in terms is the huge volume of data that is difficult to be processed, handled and managed. The term big data is an emerging trend where a number of researches and data scientists are carried out for data ...
  • Comparison of Different Motion Estimation Algorithms in Video Compression 
    Tun, Zar Zar; Nwe, Khin Htar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Everything that can be watched on a screen uses video coding which tends to reduce the amount of redundant video data in video compression. The idea behind video compression based on motion estimation is to save number ...
  • Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices 
    Tun, Mi Swe Zar; Kyi, Hsu Mon; Htoon, Ei Chaw (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Functionality on mobile devices are ever richer in daily life. Mobile devices have limited resources like battery life, storage and processor, etc. Offloading some computing tasks from mobile devices to the cloud is a ...
  • Consistent Replica Selection Mechanism for Cloud Data Storage 
    Nwe, Thazin; Yee, Tin Tin; Phyu, Myat Pwint; Htoon, Ei Chaw (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Cloud computing is becoming increasingly popular and cloud storage services attract more attentions for their high security and availability with a low cost. Cloud storage is expected to become the main force of the ...
  • Constrained Optimisation of Agricultural Water Management with Parameter-Sensitive Objectives 
    Lewis, A.; Randall, M.; Capon, S.; Jackwitz, E. (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Increasing human populations and the impact of climate changes has meant that food security is increasingly an important issue. One of the main factors is the availability of water for agricultural purposes. Recently, ...
  • Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach 
    Aye, Nilar; Naing, Thinn Thu (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    This system proposes a framework for knowledge base construction by using crowdsourcing approach. The travel related information is stored in knowledgebase by crowd of people via internet. The system creates domain ...
  • Content Driven Tweets Annotation during Natural Disasters 
    Win, Si Si Mar; Aung, Than Nwe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Nowadays, Twitter, Social Networking Site, becomes most popular microblogging service and people have started publishing data on the use of it in natural disasters. Twitter has also created the opportunities for first ...
  • Correlation Coefficient-based K-means Clustering for K-NN 
    Aung, Swe Swe; Nagayama, Itaru; Tamaki, Shiro (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    K-nearest neighbor algorithm is one of the most popular classifications in machine learning zone. However, as k-nearest neighbor is a lazy learning method, when a system bases on huge amount of history data, it faces ...
  • Cross-modal Sentiment Information Expression of Voice Source Characteristics using Image Texture Features 
    Kyaw, Win Thuzar; SAGISAKA, Yoshinori (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Following the successful findings of high correlations between speech and color such as F0 and Value, Loudness and Saturation and Spectrum and Hue, we analyzed the correlations between voice source characteristics and ...
  • Data Transformation for Textual Unstructured Data Compression 
    Aung, Hsu Mon Lei; Win, Aye Sandar; Hlaing, Swe Zin (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Nowadays, it is clear that a huge data storage is needed to store very large amount of textual unstructured data. Compression is an effective technique to less data storage space. Most unstructured data are random or ...
  • Decision Making based on Information System for Developing Standard Villages in Myanmar 
    Tun, Myint Thu Zar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Nowadays, the government in every country needs to reduce the living standard gap between the rural and urban. Also, the government decides on the enormous amount of data regarding development facilities to become the ...

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