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Browsing Eighth Local Conference on Parallel and Soft Computing by Title

Browsing Eighth Local Conference on Parallel and Soft Computing by Title

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  • Mobile Agent based Distributed Query Processing for Songs Downloading System 
    Nwe, Zu Pa Pa; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Distributed system becomes more and more essential in computing world. There are many frames for performing distributed query processing.In this proposed system, the mobile agent technology is applied in query processing ...
  • Mobile Agents based Online Examination System 
    San, Soe Moe; Phyu, Aye Lei Lei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Agent-based learning system can serve as a powerful research tool to investigate online testing and learning. The software agent can be used to assist the human users. The online examination is also testing and evaluating ...
  • Mobile Hybrid Recommendation System in Tourism 
    Win, Nan Su Yee; Tun, Myint Thu Zar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Mobile phones are becoming a primary platform for information access and when coupled with recommender system technologies, they can become key tools for mobile users to use both leisure and business applications. In ...
  • Mobile Learning System on the Android Platform 
    Kyaw, Soe Sandar; Phyu, Thae Nu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    With the continuing growth of mobile devices outrun that of desktops and laptops, mobile devices have become the new personal computers. These devices have become increasingly sophisticated and extremely powerful in ...
  • Morphological Analysis of Myanmar Language by using Support Vector Machine 
    Htun, Thet Thet; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a variety of Natural Language Processing (NLP) tasks, the words syntactic categories or Part of Speech (POS) tagging is the necessary process for Myanmar to other languages machine translation system. Morphologica ...
  • Movie Recommender System by using Item-based Collaborative Filtering Algorithm 
    Kyin, Cherry; Bo, Khin Sandi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender system applies discovery technique to support online users find desired products and services, etc. Recommender system technologies are needed that people can quickly produce high quality recommendations, ...
  • Myanmar Part Of Speech Tagging using Backpropagation Neural Network 
    Hnin, Hay Mar; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    POS tagging is the process of automatic assigning a for each word with their categories that best suits the definition of the word as well as the context of the sentence of a natural language in which it is used. It ...
  • Network Based Remote Vehicle Control System using Arduino and Android 
    Oo, Han Phyo; Thein, Yadana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In the today advanced world, remote controlled embeddedsystem is one of the biggest demand mainly in disaster recovery, military, home security and etc. The purpose of this design is to provide the prototype of a ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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, ...
  • 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 ...
  • Performance Analysis of Multipath AOMDV in MANET 
    Phyo, Zin Mar; Maw, Aung Htein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Mobile Ad hoc Network (MANET) is a collection of mobile devices and is selfconfiguring, dynamically changing, multi-hop wireless network which forms a communication network via multi hop wireless network connection, ...
  • Performance Analysis on Mail Classification with Multilayer Perceptron (MLP) 
    Hlaing, Nwe Ni; Maw, Aung Htein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Spam is a key problem in electronic communication, including large-scale email systems. Classification of spam emails is a significant operation in email system. The efficiency of this process is determined by many ...
  • PID Controlled Real Time Liquid Level Detection and Filling System 
    Aung, Moe Lwin; Aye, Hnin Hnin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, automatic control has played a vital role in advance of engineering and science. The accurate real-time control system is essential for non-stop running industries and production. In this paper, Proportional ...
  • Prediction for Production Rate of Paddy Using Bagged Classifier Based on NBC 
    Htaik, Ei Yamin; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A popular method for creating an accurate classifier from a set of training data is to train several classifiers, and then to combine their predictions. One way to generate an ensemble of simple Bayesian classifiers ...
  • Preventing Data loss in Bank Transactions using Write Ahead Logging Protocol 
    Win, Swe Swe; Nwe, San San (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In business environment, banking system plays one of the main roles in buying and selling transactions. A transaction is a logical unit of work. A transaction processing system (TPS) is a system that monitors transaction ...
  • Preventing Data loss in Online Sale System Transactions by using Out-of- Place Update Recovery Information (Shadow Paging) 
    Kyaw, Htet Htet; Nwe, Khine Moe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A transaction is a logical unit of work. Transaction Processing Systems (TPS) are the heart of the business operations today. A TPS may fail for many reason such as system failure, human errors, hardware failure, ...
  • Privacy Control in Statistical Database of the IT Company by Using Query-Set- Size Security Control Method 
    Aung, Nwe Mon Mon; Moe, Myint Myint (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A statistical database (SDB) is a database that contains a large number of individual sensitive records, but is intended to supply only statistical summary information to its users. A SDB suffers from the inference ...

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