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  • Resource Scheduling in Distributed Environment 
    Htwe, Thandar Su Nge (Ninth International Conference On Computer Applications (ICCA 2011), 2011-04-05)
    Load-balancing problems arise in many applications, but, most importantly, they play a special role in the operation of parallel and distributed computing system. Scheduling in distributed operating systems has a ...
  • Restoring the Blur Image 
    Wai, Tin Su (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The Families, friends, professionals, and enthusiasts take countless numbers of photographs everyday, and inevitably, many images suffer from some sort of distortion, or blurring. In the proposed system of this paper, ...
  • 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 ...
  • Retrieval of English-Myanmar Transliterated Words Based on Soundex Algorithm 
    Cho, Yin Yin; Htwe, Tin Myat (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Transliteration is the process of mapping from one system of writing into another, word by word. This system presents an algorithm for English- Myanmar cross-language transliterated word retrieval. Soundex matching is ...
  • Retrieving Formal Concepts from Class-Method Data Table 
    Phyu, Hnin Pwint; Nyunt, Thi Thi Soe (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In maintenance of object-oriented software, one of the most important concepts is inheritance, which organizes classes into a hierarchy. The relationships among packages, classes, access modifiers, inherited classes ...
  • Retrieving Information based on Ontology Approach 
    Kyaw, Aung Thu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The huge number of available documents on the Web makes a challenging task to find relevant ones. The quality of result provided by traditional full-text search engines is still not optimal for many types of user queries. ...
  • Retrieving Semantically Relevant Documents using Latent Semantic Indexing 
    Yee, Chue Wut (Unversity of Computer Studies, Yangon, 2020-01)
    Nowadays, with the development of the internet, it is available to collect very large amounts of data and searching effective information from these data develop into an essential work. The major purpose of an Information ...
  • Reverse kNN Query Algorithm on Road Network Distance 
    Win, Tin Nilar; Htoo, Htoo; Ohsawa, Yutaka (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    This paper proposed a reverse k nearest neighbor (RkNN) query algorithm in road network distance by using the simple materialization path view (SMPV) data structure.When a set of interest objects P and a query point q ...
  • Review Spammer Detection System by Using Rating and Review Content Similarity 
    Aye, Chan Myae (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion such as Amazon.com. Opinion reviews on products and services are used by potential customers before deciding to purchase a product. ...
  • Rijndael Cryptographic Technique for Securing Storage System 
    Ei, Nyein Nyein; Kyu, Khin Kyu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    The general idea of the paper is to encrypt the selected data in the datasheet using Rijndael cipher, and then save the cipher text to the storage media. Rijndael is a substitution-linear transformation network with ten, ...
  • RISK CALCULATION OF COVID-19 FOR ASEAN COUNTRIES USING BACKPROPAGATION NEURAL NETWORK AND FUZZY INFERENCE SYSTEM 
    Oo, Sabai (University of Computer Studies, Yangon, 2022-06)
    CORONAVIRUS DISEASE (COVID-19) is the infectious disease caused by the coronavirus that was first discovered in Wuhan City, China, and then spread throughout the world. Many researchers have proposed various methods ...
  • Risk Level Prediction for Heart Disease using Decision Tree Induction 
    Khin, Naing Naing; Lwin, Win Thein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Heart Disease was the major cause of causalities in most of the countries. According to the medical records, heart disease kills one person in very sort time. Classification and prediction are the forms of data analysis ...
  • Road Map Estimation by using the Single Source Shortest Path Algorithm (DIJKSTRA'S Algorithm) 
    Tun, Khin Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Traffic congestion is becoming a serious problem in more and more modern cities. Encouraging more private-vehicle drivers to use public transportation is one of the most effective and economical ways to reduce the ever ...
  • Road Sign Recognition System using Radial Basis Function Neural Network Architecture 
    Moe, Thae Ei; Aye, Zin May (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, road sign recognition system (RSR) is implemented with radial basis function (RBF) neural network architecture. The system consists of image pre-processing and algorithm of RBF function to recognition that ...
  • Roadway Project Cost Estimation Using Linear Method 
    Aye, Wut Yi (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The cost is very important role in construction project. Project management is no small task. It has a definite beginning and end. It is not a continuous process. So, this system implemented by using project management ...
  • Robot Language Acquisition Based on Sequence-to-Sequence Learning 
    Thu, Ye Kyaw; Takabuchi, Kenta; Fukai, Kaisei; Iwahashi, Naoto; Kunishima, Takeo (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Language acquisition for robot is a challenging topic in the artificial intelligence research area and essential for natural communication between robot and human. In this paper, we proposed language acquisition ...
  • Robust Audio Data Hiding based Probabilistic Global Search in MDCT Domain 
    Su, Ei Thin (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    This paper managed to propose robust audio data hiding through optimization-based problem transformation method, Probabilistic Global Search Lausanne Algorithm (PGSL) in modified discrete cosine transform (MDCT) ...
  • A Robust Local Thresholding Method for Segmentation of Non-Uniform Coloured Documents 
    Aung, Thidar; Thein, Thin Lai Lai (National Journal of Parallel and Soft Computing, 2019-03)
    Text document segmentation is one of the essential steps text document recognition and extraction systems. The existing segmenting methods are not much reliable for text with colour gradient and texture background. ...
  • Robust Local Thresholding Method for Segmentation of Non-Uniform Coloured Documents 
    Aung, Thidar (University of Computer Studies, Yangon, 2019-08)
    Text document segmentation is one of the essential steps in text document recognition and extraction systems. The existing image segmentation methods are not much reliable for text with colour gradient and texture ...
  • Role Based Access Control in Learning Management System(LMS) 
    Yin, Su Su; Nwe, Khine Moe (ICCA, 2021-02-25)
    During the Corona virus pandemic, we should change for learning classroom system to distance learning (online learning) system. Online learning management system is so flexibility for teaching and learning environment. ...

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