Conferences: Recent submissions

  • Retail Demand Forecasting Using Sequence to Sequence Long Short-Term Memory Networks 
    Phyu, Mon Myat; Khine, Myat Thiri (ICCA, 2021-02-25)
    Demand forecasting is crucial for a retail business as it can greatly affect everything ranging from promotion, pricing, product assortment and inventory. Building a reliable and useful demand forecasting model is still a ...
  • Building Annotated Image Dataset for Myanmar Text to Image Synthesis 
    Htwe, Nan Kham; Pa, Win Pa (ICCA, 2021-02-25)
    Text to image synthesis is the translation of images from the input language text. The learning process can become easier when the spoken words can visualize with the images. It is one of the popular research field in ...
  • Effective Web Application Vulnerability Testing System Using Proposed XSS_SQL_Scanning_Algorithm 
    Aung, Thinzar; Myint, Zin Thu Thu (ICCA, 2021-02-25)
    Nowadays, many people use the internet for more than one purposes. Among these purposes, they mostly apply the web application which is one of the internet usage technologies. A web application is composed of a web server ...
  • Improving Myanmar Image Caption Generation Using NASNetLarge and Bi-directional LSTM 
    Aung, San Pa Pa; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    The main objective of this paper is to improve the automatic Myanmar captions by learning the contents of images using NASNetLarge and Bi-LSTM model. Describing the contents of an image is a complex task for machine without ...
  • Performance Assessment of an ERP Application Developed for A Local Nonprofit Organization in Myanmar 
    Khaing (ICCA, 2021-02-25)
    An Enterprise Resource Planning (ERP) application was used predominately in manufacturing sector and hardly used in nonprofit organizations. Using ERP systems in nonprofit organizations has special features and unique ...
  • Technology Acceptance Model Proliferation towards Modified Teaching in Myanmar 
    Aung, Win Win (ICCA, 2021-02-25)
    As the increasing trend of today’s education, teaching/learning opportunities for students have also increased a lot. The Technology Acceptance Model (TAM) is used to predict the user (students) satisfaction in the modern ...
  • Vehicle Accident Detection on Highway and Communication to the Closest Rescue Service 
    Aung, Nay Win; Thein, Thin Lai Lai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    The hazard information and the timely rescue performance are considered as the main elements to reduce the risk of road traffic accidents since the rate of highway accidents significantly increased. In this paper, it ...
  • University Chatbot using Artificial Intelligence Markup Language 
    Khin, Naing Naing; Soe, Khin Mar (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Chatbots are conversational systems that can do chat interactions with human automatically. It is developed to be virtual assistant, making entertainment for people, helping for answering the questions, getting driving ...
  • Time Delay Neural Network for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Time Delay Neural Network (TDNN) contains in neural network architectures. In Automatic Speech Recognition, TDNN is strong possibility in context modeling and recognizes phonemes and acoustic features, independent of ...
  • The Implementation of Support Vector Machines for Solving in Oil Wells 
    Aung, Zayar; Aung, Ye Thu; Sergeevich, Mihaylov Ilya; Linn, Phyo Wai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    The article deals with the problem of timely forecasting and classification of problems that arise in the process of well construction remains relevant. It is necessary to create a new methodology that should help ...
  • Software Quality Metrics Calculations for Java Programming Learning Assistant System 
    Zaw, Khin Khin; Hnin, Hsu Wai; Funabiki, Nobuo; Kyaw, Khin Yadanar (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    A Web-based Java Programming Learning Assistant System (JPLAS) has been proposed to assist Java programming educations in universities. In the code writing problem, the correctness of an answer code from a student is ...
  • Sentiment Polarity in Translation 
    Zin, Thet Thet (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Previous year, many researchers have been sentiment analysis on many focus languages. They analyzed and categorizing opinions expressed in a text. People express their opinions and feeling on social media as a daily ...
  • Sentence-Final Prosody Analysis of Japanese Communicative Speech Based on the Command-Response Model 
    Takada, Kazuma; Nakajima, Hideharu; Sagisaka, Yoshinori (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Aiming at communicative speech synthesis, we analyzed sentence-final prosody characteristics through subjective impression on constituting lexicons. Since Japanese sentence-final particles and postpositionals are ...
  • Scheduling Methods in HPC System: Review 
    Kyaw, Lett Yi; Phyu, Sabai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Parallel and distributed computing is a research area that is complex and rapidly evolving. Researchers are trying to get more and more methods and technologies in parallel and distributed computing. Most users who use ...
  • 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 ...
  • Process Provenance-based Trust Management in Collaborative Fog Environment 
    Thida, Aye; Shwe, Thanda (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    With the increasing popularity and adoption of IoT technology, fog computing has been used as an advancement to cloud computing. Although trust management issues in cloud have been addressed, there are still very few ...
  • Preserving the Privacy for University Data Using Blockchain and Attribute-based Encryption 
    Myat, Soe Myint; Soe, Than Naing (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    An effective IT solution is required for the administrative processes which is the core of university. The tamper resistance, transparency and auditability for university management data are very important to avoid the ...
  • Preprocessing of YouTube Myanmar Music Comments for Sentiment Analysis 
    Thant, Win Win; Khaing, Sandar; Mon, Ei Ei (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Over the years, social media sites have become an important role of communication and a source of the tremendous amount of real-time data of images, videos, etc. YouTube is likely the most popular of them, with millions ...
  • Improving the performance of Hadoop MapReduce Applications via Optimization of Concurrent Containers Per Node 
    Htay, Than Than; Phyu, Sabai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Apache Hadoop is a distributed platform for storing, processing and analyzing of big data on commodity machines. Hadoop has tunable parameters and they affect the performance of MapReduce applications significantly. ...
  • Generating Myanmar News Headlines using Recursive Neural Network 
    Thu, Yamin; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Text summarization in the form of Headline prediction for written articles becomes a popular research recently. This paper presents a headline prediction model using Recursive Recurrent Neural Network (Recursive RNN) ...

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