UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

Sort by: Order: Results:

  • Ontology Based Information Retrieval of Cancer Diseases 
    Lwin, Cho Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The proposed system has being specifically focuses on the development of a cancer information system by using information retrieval (IR) techniques. Information Retrieval System should be able to identify the intent ...
  • Ontology based Recommender System using Content-based Filtering and AHP methods 
    Mon, Shun Ei; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender systems on web pages are a subclass of information filtering system that seeks the relevant web pages according to prediction of the 'rating' or 'preference' that a user would give web page. Nowadays, the ...
  • Ontology-based Image Retrieval 
    Oo, Kyaw Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, Information Technology (IT) is rapidly improving and then large-scale available data and information is demanded by information society. To get relevant and related information, efficient Information Retrieval (IR) ...
  • Ontology-Based Information Retrieval for Animal Kingdom 
    Cho, Hnin Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Retrieving the necessary information about the domain provide the user to acquire the explicit knowledge for that domain. This information about terms and their relations is traditionally provided through dictionaries. But ...
  • Ontology-Based Metadata for Computer Terminology 
    Khaing, Khin Kyawt Kyawt; Hlaing, Moe Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays,Information Technology is rapidly improving to provide possibilities for integration among applications using various databases. It involves retrieving and integrating information from multiple data sources. The ...
  • Optimal Route Finding for Famous Places in Mandalay by using A* Method based on GIS 
    Cho, Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Geographic Information System (GIS) is a computer system capable of capturing, analyzing, and displaying geographically referenced information; that is, data identified according to location. Geospatial information system ...
  • Optimal Scheduling for food production lined based on Mixed Integer Linear Programming 
    Parami, Ananta (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, as the consumer market becomes quite competitive and challenging, to gain the customer’s satisfactions is vital. Therefore, Decision Support System would play an important role in mass production line. ...
  • An Optimistic Routing Based Web Localization System 
    Mar, Aye Aye; Aung, Nang Soe Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Dijkstra algorithm among the shortest-path algorithms is to solve the shortest-path problem. Dijkstra’s algorithm is probably the best-known and thus most implemented shortest path algorithm. It is based on a priority queue ...
  • Optimizing Fuzzy Clustering With Differential Evolution Algorithm 
    Win, Soe Theint Theint; Aung, Khin Sandar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Clustering (or cluster analysis) aims to organize a collection of data items into clusters, such that items within a cluster are more “similar” to each other than they are to items in the other clusters.Clustering is ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Payroll System Using Role-Based Access Control 
    Kyaw, May Phyu; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Security requirements approached at the enterprise level initiate the need for models that capture the organisational and distributed aspects of information usage. Such modifies have to express organization specific security ...
  • Performance Analysis of DWT and 4-LSB for Information Hiding in Images (Steganography) 
    Aung, Thazin; Tun, Ei Ei Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Steganographic techniques allow one party to communicate information to another without a third party knowing that the communication is occuring. Steganography works by replacing bits of useless or unused data in regular ...

Search Repository



Browse

My Account