Conferences: Recent submissions

  • Forecast Flood Condition by Using Fuzzy Logic 
    Aung, Htet Htet (fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system forecasts in water level in Pyay river state. Water level is forecasted by using water level is forecasted by using Fuzzy Logic. This paper is to describe the implementation of flood condition system of ...
  • Automatic Sentiment Analysis System for Myanmar News 
    Yu, Thein; Nwet, Khin Thandar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Sentiment analysis and opinion mining mainly emphasize on opinions which express or describe positive or negative sentiments. Sentiment analysis is mostly concerned with NLP. The inception and rapid development of the ...
  • Clustering Analogous Words in Myanmar Language using Word Embedding Model 
    Mon, Aye Myat; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Word embedding represents the words in terms of vectors. It is influenced on different NLP research areas such as document classification, author identification, sentiment analysis, etc. One of the most popular embedding ...
  • Lexicalized Reordering Models for English-Myanmar Phrase-based Statistical Machine Translation 
    Nyein, May Kyi; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Reordering is extremely desirable for translation accuracy when translating between high disparity language pairs in word order. The aim of this paper is the comparative study of lexicalized reordering models (LRM) by ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In natural language processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP- based applications such as machine translation (MT), information ...
  • Comparison of Apriori, FP-growth and Dynamic FP- growth for Frequent Patterns 
    Cho, War War; Nwe, Nwe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent pattern mining is one of the active research themes in data mining. It is an important role in all data mining tasks such as clustering, classification, prediction and association analysis. Frequent pattern is the ...
  • CLASSIFICATION OF SOIL TYPE USING BACKPROPAGATION NEURAL NETWORK 
    Htun, Wanna; Htay, Sandar (2010-12-16)
    A number of classification systems have been developed depending on the intended purpose of the system. Soil classification has proved to be very useful for soil engineers. Classification of soil type is an ever challenging ...
  • Classification of Peanut Leaves Disease using Back Propagation Neural Network 
    Maw, Naw Aye Aye; Htay, Sandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A number of classification systems have been developed depending on the intended purpose of the system. This system tries to classify peanut leaves diseases.. The images of the peanut leaf are acquired by means of an digital ...
  • Implementation of Price Watcher and URLs Updater Agents for E-commerce based Mobile Phone Shop 
    Yi, Htwe Htwe; Nwe, Nwe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system is designed to help the users for retrieving the product and price information of the competitors’ website and monitor updated information in the competitors’ website for the most frequently interested product ...
  • Myanmar Speech Classification Using Transfer Learning for Image Classification 
    Khin, Ou Ou; Thu, Ye Kyaw; Sakata, Tadashi; SAGISAKA, Yoshinori; Ueda, Yuichi (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In this paper, our research on speech classification using an image classification approach is discussed for the Myanmar language. We tested the method for Myanmar consonants, vowels, and words, on our recorded database ...
  • Time-Difference-of-Arrival (TDoA) Based Wireless Indoor Localization Using an Effective Hybrid Time Synchronization 
    Hlaing, Yuzana; Maung, Nyein Aye Maung (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Wireless indoor localization is a major challenging issue for state-of-the-art technologies and applications which require precise and robust location information. Many restrictions affect the performance of the wireless ...
  • Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM 
    Maw, Soe Yu; Khine, May Aye (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Big social data analytics is an important tool which can be used to reveal the important insight of the information from the social user. It is an approach which combines various statistical methods, sentiment analysis, ...
  • Monitoring and Extracting of Surface Water Area from Landsat Imagery Using Water Indices 
    Myint, Aye Aye; Min, Myat Myat (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Taung-Tha-Man Lake (TTM) is the major fresh water body providing Amarapura with this water used for various purposes. One of the main challenges faced by the sustainable development of TTM is the need for better water ...
  • Developing a Transparent Tax Data Access Control System Based on Blockchain 
    Htet, Hlwam Maint Htet; Mya, Khin Than (2019-02-27)
    Access control systems regulate the access to critical resources and they are vitally important for every organization’s IT infrastructure. Access controls authenticate and authorize individuals to access or deny the ...
  • Design and Development of Database Integration Framework for Distributed Queries in Parallel using Open Grid Service Architecture 
    Nwe, Thin Thin; Zaw, Myo Hein (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The growing number of large knowledge bases necessitates developing techniques that enable the sharing and a cooperative scheme for accessing massively distributed, heterogeneous databases, created and managed independently ...
  • Handwriting Digit Recognition Using Genetic Algorithm 
    Myint, Nan San San; Thwin, Khin Lay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Handwriting digit recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In this paper, this system used to recognize the handwritten digits of Kayin ...
  • Implementation of Time Scheduling System for Staff Using Genetic Algorithm 
    Naing, Moe Ka Lhyar; Khin, Myo Myo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Time Scheduling System represents a subclass of scheduling problems that are hard to solve. Genetic Algorithm (GA) has emerged as a useful tool for the scheduling and timetabling problem. This paper is concerned with the ...
  • News Media System Using RSA Algorithm 
    Khaing, Aye Aye; Mar, Khin Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In data communication, cryptography is necessary when communication over insecure channel. In many business sectors, secure and efficient data transfer is essential. Cryptography provides the basics for authentication of ...
  • Detection of Environmental Changes through Supervised Classification 
    Myint, Aye Yadanar; Thein, Nilar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, satellite based remote sensing technology has been successfully utilized for mapping, monitoring and detection of environmental changes. The interested information will be extracted from satellite images by using ...
  • Enhancing Security with the Combination of DCT & 3DES 
    Aung, Theint Theint Ei Htet; Thein, Nilar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Information security is becoming more important in data storage and transmission. Because of widely used images in security process, it is the important confidential image data from unauthorized access. The original ...

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