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  • Job Finding System by Using XML Document Filtering: XFilter 
    Khaing, Phyu Thin; Sandar, Khin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The exchange of data, information and knowledge becomes a key issue over the Internet. XML (eXtensible Markup Language) also plays an important role as a de-facto standard online data exchange mechanism. In most web ...
  • Job Scheduling for High Performance Computing and Cloud Environment 
    Kyaw, Lett Yi; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    High performance computing (HPC) is famous and latest trend in current research era. User request many jobs and they want to get accurate results and quick time within eye blink. There are so many processors running ...
  • A Job Search System using Breadth First Crawling and Inverted Index 
    Oo, Thane Sat; Win, Su Thawda (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    The World Wide Web has grown from a few thousand pages to billion of pages at present. Due to this explosion in size, web search systems are becoming increasingly important as the primary means of locating relevant ...
  • A Job Selection System Based on Analytical Hierarchy Process (AHP) 
    Ko, Thin Zar Ko; Zaw, Win Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Decision-making is the process of identifying and selecting from among possible solutions to a problem according to the demands of the situation. When considerable matters are ambiguous, people are difficult to decide. ...
  • Jobs Prediction Model based on Myanmar Labor Force Survey by using Artificial Neural Network 
    Nandar, Su; Lwin, Myint Myint (ICCA, 2021-02-25)
    Nowadays, job prediction is an essential task for every organization because of the influence of job fitting or job suitability. Job fit is a concept that refers to how well an employee is suited for his or her position ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks in natural language processing (NLP). The POS information is also necessary in NLP based applications such as machine translation (MT), information ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In natural language processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP- based applications such as machine translation (MT), information ...
  • Joint Word Segmentation and Part-of-Speech Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (University of Computer Studies, Yangon, 2020-08)
    A lot of research is currently ongoing in word segmentation and POS tagging developed differently with various methods. Separate word segmenters and POS taggers are also available for Myanmar Language, based on computational ...
  • Joint Word Segmentation and Stemming for Myanmar Language 
    Oo, Yadanar (University of Computer Studies, Yangon, 2019-10)
    Due to the powerful development of internet use, the amount of unstructured Myanmar text data has increased excessively. It is necessary to retrieve exact data for user query. The effectiveness of searching is obviously ...
  • Joint Word Segmentation and Stemming for Myanmar Language Based on Conditional Random Fields 
    Oo, Yadanar; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we describe a joint work on word segmentation and stemming of Myanmar sentences with syllabled-based tagging under Conditional Random Fields(CRF) framework. A manuallysegmented corpus was developed to ...
  • K-means Nearest Point Search Algorithm and Heuristic Search for Transportation 
    Hlaing, Wai Mar; Sein, Myint Myint (2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 2018-12-13)
    This paper aims to support the most suitable route for passengers of the taxi system using the proposed heuristic search method. Furthermore, k-Means Nearest Point Search (kMNPS) algorithm is proposed to produce the ...
  • Kernels Analysis in MRI Images Noise Removal Methods 
    Min, Aye; Kyu, Zin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    With advanced imaging techniques, Magnetic Resonance Imaging (MRI) plays an important role in medical environments to create high quality images contained in the human organs. In the processing of medical images, medical ...
  • Key Generation Based on Elliptic Curve Cryptography 
    Kyi, Linn Htaik; Mya, Khin Than (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    In the rapid improvement of communication environment, it is desirable to improve the security measure on the use of between the sender and receiver. Cryptography is an important aspect of communications security and ...
  • Keyword Search Based Information Retrieval System in Relational Database 
    Sin, Ei Ngwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Keyword search technology has been the most widely used querying method nowadays. The amount of data in relational databases is growing rapidly. The information discovery from these databases is necessary for users. Free-form ...
  • Keyword Search in Web-based Geographic Information Retrieval System 
    Myint, Aung Zaw; Tun, Khin Mo Mo (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Web-based geographic information search engines are prominently used in recent years. Spatial databases have both spatial and textual descriptions. Geographic web search engine retrieves the nearest objects that are ...
  • Keyword Search over Relational Databases 
    Khine, Phyo Thu Thu; Tun, Khin Nwe Ni (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    A relational database is often operated by means of a structured query language (SQL). When composing SQL-queries one must have an understanding of the SQL syntax to be able to produce a query the database can ...
  • Keyword-Based Information Retrieval System b Utilizing Vector Space Model (VSM) 
    Shwe, Theingi; Myo, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The majority of today’s Information Retrieval tasks are based on two main processes: indexing and searching. Indexes and retrieval are at the core of every modern Information Retrieval (IR) System. Many IR systems are based ...
  • Knowledge-based System for Antibiotics 
    Nyein, Phyo Ei; Bo, Aye Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Knowledge-based systems are systems based on the methods and techniques of artificial intelligence. Knowledge-based systems were designed primarily for the purpose of being able to apply knowledge automatically. Knowledge ...
  • Knowledge_based System for Security Services 
    Moe, Yadanar; San, Kalyar Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Artificial Intelligent (AI) can be considered as tools that emulate human thought to help in solving problems. Knowledge_based system is an important part of Artificial Intelligence. Knowledge_based systems are software ...
  • Land Cover Classification and Change Analysis of the City Area and its Vicinity 
    Myint, Aye Aye; Min, Myat Myat (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Land cover/use change detection is an important component for better understanding the interactions of the human activities with the environment and necessary to simulate environmental changes. This study investigates land ...

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