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  • Optimizing Water Flow for Water Supply Using Augmenting Flow Algorithm 
    Tha, Phone Kyi; Win, Su Thawda (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    In a capacitated pipeline network, a problem that commonly occurred is finding maximum flow. It is finding the best amount of flow of flow rate of entity in the pipeline network. Water supply network is a kind of capacitated ...
  • Ordering URL for Focused Web Crawlers using Effective Prioritization 
    Min, Nandar Win; Hlaing, Aye Nandar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Obtaining important pages rapidly is very useful when a crawler cannot visit the entire Web in a reasonable amount of time. One approach is using focused crawler because it tries to download only pages with pre-defined ...
  • Outlier Detection by using Statistical Approach 
    Phyu, Nan Khaing Pwint; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier analysis is that the user do depends on the kinds data they have. An outlier is a data value, that has a very low probability of occurrence that is, it is unusual. There are three kinds of outlier detection in ...
  • Outlier Detection on Sale Transactions Using Box Plot 
    Hlaing, Wint Wah; Khin, Tar Tar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier detection is an important task in data mining activities and has much attention in both research and application. A value that lies outside which is much smaller or larger than most of the other value in a set of ...
  • Outliers Detection and Analyzing for Diabetic and Non-Diabetic Patients by Using Two-Phase Clustering 
    Htwe, Hsu Mon; Phyu, Aye Lei Lei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Outliers are the set of objects that are considerably dissimilar from other values in a random sample from a population. Outliers are important because they can change the results of data analysis. In this paper, ...
  • Outliers Detection Based on Partitioning Around Medoids 
    Htwe, Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping a set of objects into classes or clusters so that objects within a cluster have similarity in comparison to one another, but are dissimilar to objects in other clusters. Clustering ...
  • Overlapped Community Detection using Extended Node Similarity by Local Expansion 
    Win, Eaint Mon; Khine, May Aye (ICCA, 2021-02-25)
    The study of real networks like social network has been increasingly interested in community research area. With this study, overlapping community detection plays an important role in studying hidden structure of those ...
  • Overlapping Community Detection in Social Networks by Local Expansion 
    Win, Eaint Mon (University of Computer Studies, Yangon, 2023-09)
    Community structure is one of the main structural features of networks and detecting overlapped community structure is an important field in social network analysis. There are many methods for finding non-overlapping ...
  • Overview of the Benefits and Costs of Integrating Heterogeneous Applications by Using Relaxed ACID Properties 
    Frank, Lars (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In central databases the consistency of data is normally implemented by using the ACID (Atomicity, Consistency, Isolation and Durability) properties of a DBMS (Data Base Management System). In practice, it is not ...
  • Page Segmentation and Document Layout Analysis for Scanned Image by using Smearing Algorithm 
    Htun, Nay Win; Ko, Lin Min (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents a feature-based system which utilizes domain knowledge to segment and classify scanned image documents. Documents usually consists of a mixture of text and image. Text block possesses an interesting ...
  • PALBS: Preference-Aware Location-based Services 
    Maung, Tin; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    This paper presents PALBS, a preferenceaware location-based services system. PALBS provides scalable personalized location-based services to users based on their preferences. Unlike existing location-based service ...
  • Palette-Based Image Steganography by Mapping Pixels to Letters 
    Kyu, Khin Kyu (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    This paper is represented for information security by using image steganography method on palette-based image. The palette image based steganography is used LSB encoding procedure. Steganograpyh is the art of hiding ...
  • Parallel Computing Application on Combustion and Emission Analysis of an Annular Gas Turbine Combustor 
    Sung, Hong Gye; Jeong, Won Cheol; Kim, Sung Yoon (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    To analyze the emissions of a turbulent lean premixed Methane-air combustor, a level set Gequation method has been implemented in the Large Eddy Simulation (LES) framework using parallel personal server. The server ...
  • Parallel Differential Evolution Algorithm with Multiple Trial Vectors to Artificial Neural Network Training 
    Thein, Htet Thazin Tike; Tun, Khin Mo Mo (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    In this paper, parallel differential evolution algorithm with multiple trial vectors for training artificial neural networks (ANNs) is presented. The proposed method is PDEA, which is a DE-ANN+ modified by adding island ...
  • Parallel Implementation of Prim’s Algorithm 
    Nyein, May Khine; Khaing, Myo (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Graphs are widely used in many applications. Some of the applications that used graph theory are: analysis of electrical circuits, route planning, genetics, social sciences and so on. The system is based on sequential ...
  • Parallel Implementation of Smith Waterman Sequence Alignment Algorithm 
    Nyunt, Han Su Yin; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Local sequence alignment is widely used to discover structural and hence, functional similarities between biological sequences. Sequence database alignment is among the most important and challenging tasks in bioinformatics. ...
  • Parsing Myanmar (Burmese) by Using Japanese as a Pivot 
    Thu, Ye Kyaw; Ding, Chenchen; Utiyama, Masao; Sumita, Eiichiro (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    As Myanmar (Burmese) and Japanese share similar syntactic structures, we explore an approach for parsing Myanmar by using Japanese as a pivot. Specifically, we first apply a statistical machines translation (SMT) system ...
  • A Path Traversal Graph based Web Navigation Patterns Mining 
    Aye, Theint Theint (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The evolution of World Wide Web as the main information source for millions of people nowadays has imposed the need for new methods and algorithms that are able to process efficiently the vast amounts of data that ...
  • Patient Waiting Time System Using Simulation Method 
    Aung, Thet Sandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the way to calculate waiting times of patients. Results of patient surveys generally cite access to care and delays in care as sources of dissatisfaction. Delays are expensive, not only in terms of ...
  • Pattern Discovery using Association Rule Mining on Clustered Data 
    Oo, Htun Zaw (University of Computer Studies, Yangon, 2018-08)
    Many organizations use World Wide Web for multipurpose platform during these days. It is very important to understand how a web site is being used by users. Web usage mining also known as web log mining, aims to discover ...

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