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Browsing Eighth Local Conference on Parallel and Soft Computing by Issue Date

Browsing Eighth Local Conference on Parallel and Soft Computing by Issue Date

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  • Rar, Sa Mie; Khaing, Myo Kay (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Web mining is the use of data mining techniques to automatically discover and extract information from Web documents and services. This area of research is so huge today partly due to the interests of various research ...
  • Aung, Nu Wai; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information retrieval (IR) is the area of study concerned with searching documents or information within documents. It is finding or discovery process to obtain relevant web pages from a collection of information ...
  • 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 ...
  • Phue, Wai Mon Mon; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In today’s world, parallel processing framework is a widely used for the applications which need too much processing power. As an example, the basic requirement of security problems is to permute the input text into ...
  • Mon, Cho Thel; Thein, Thin Lai Lai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In data mining, multilayer feed-forward networks are one of the most used neural networks in various domains because of their universal approximation capability. Back-propagation (BP) uses two phases, feed-forward and ...
  • Mon, Mai Myat Hsu; Mya, Khin Than (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, people use automatic system to reduce their energy and time. The application of comparative temperature measurement systemis using the mechanism of PID (proportional integral derivative) controller.The aim ...
  • 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, ...
  • 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 ...
  • Naing, Hnin Hnin; Nyunt, Thi Thi Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Artificial neural networks (ANNs) are computing models for information processing and pattern identification. An ANN is a network of many simple computing units called neurons or cells, which are highly interconnected ...
  • Hlaing, Khin Nilar; Khine, May Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The timely procurement and delivery of materials / equipment to yard, site and assembly locations requires a huge team effort and is paramount for the successful work done for shipyards and construction sites.The ERRP ...
  • Thwel, Tin Thein; Than, Aye Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, World Wide Web is become popular and building high-quality web sites are a challenging task. Potentialities of web applications are remarkable leading many organizations to spend awesome amounts of money on ...
  • Zaw, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster.In K-means, data is ...
  • Aung, Kay Thi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents a study of regression analysis for use in stock price prediction. The system shows the stock market trend of the specified bank using the previous stock prices. Data were obtained from the daily ...
  • San, Khin Kaung; Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In distributed system, the database can be replicated in multiple servers stored at different sites.Certain data items may be redundantly stored at more than one site for reliability reasons.Replication is a key to ...
  • 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 ...
  • Thuzar, Hla; Tun, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Finding graph isomorphism and sub graph isomorphism is an important problem in many applications which deal with data modelled as graphs. Graphs can represent biological networks at the molecular, protein, or species ...
  • Win, Zin Mar; Wai, Ei Nyein Chan (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information retrieval is concerned with organizing and retrieving relevant documents from a set of unstructured collections of documents.In most collections, the same concept may be referred to using different word.This ...
  • Wai, Ei Chu; Wai, Khaing Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents data transfer system between two users using the asymmetric-key cryptography. Asymmetric-key cryptography or public-key cryptography is cryptography in which a pair of keys is used to encrypt and ...
  • Thuzar, Pyae Phyo; Kham, Nang Saing Moon (2017-12-27)
    Multilayer feedforward networks are one of the most used neural networks in various domains because of their universal approximation ability. One of the popular algorithms for training multilayer feedforward network ...
  • Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...

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