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  • 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. ...
  • Roman Transliteration of Indic Scripts 
    Murthy, Kavi Narayana; Badugu, Srinivasu (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In this paper we analyze the need for Roman Transliteration for Indic scripts. We evaluate the pros and cons of various schemes in use today and argue for a scientifically designed standard scheme. We offer one such ...
  • A Route Selecting System (RSS) for Travelling from A Predefined Location 
    Oo, San Naing; Tun, Myat Thuzar (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Traditionally, the routing problem has been a single objective problem having as goal the minimization of either the total distance or travel time. Many approached and strategies are used for an appropriate solution to ...
  • Rule-based Consciousness Expert System by Abhidhamma model with Forward Chaining Technique 
    Htay, Hsu Myat; Oo, Khine Khine (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The Abhidhamma is one of the three parts of the Pali cannon, the Tipitaka, the main texts of Theravada Buddhism and is sometimes described as ‘Buddhist Psychology’ [2]. Human mind is consciousness (citta) and mental ...
  • Rule-based Decision Support System for Internally Displaced Person in Natural Disaster 
    Mar, Aye Thet; Oo, Hnin Min (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper describes the development of decision support system based on expert system, programmed on Internally Displaced Person (IDP) in Natural Disaster for supporting care and relocation and executed by the rule-based ...
  • Rule-based Expert System for Blood Bank 
    Khaing, Myint Soe; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-based expert systems are a way to store and manipulate knowledge to interpret information in a useful way. They are often used ...
  • Rule-based system for staff management using Forward Chaining Technique 
    Pyone, Mi Mi; Aung, Hninn Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper is intended to implement the Rule-based system for staff management. There are many rules in the system. These rules are predefind rule.The system works with If- THEN rules and with input data provided by the ...
  • Sale Forecasting for Hot-Drink Productivity Using Naïve Bayesian Classification 
    Hlaing, Su Su Swe; Htun, Thaung Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Classification is one of the most popular data mining tasks with a wide ranges of application and lots of algorithms have been proposed to build scalable classifiers. Several data mining techniques and classification methods ...

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