UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Comparing Data Retrieval in RDBMS and ORDBMS Using Company Directory Database 
    Lwin, May Thet; Tun, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    There are different types of Database Management System. Each has their own model and architecture for data storage. In this paper, we compare Data Retrieval efficiency between Relational Database Management System (RDBMS) ...
  • Comparing Shortest Path Algorithms for Real Road Network 
    Hmon, Moh Moh Wut; Htway, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system deals with the problem of finding shortest paths in traversing some location within Myanmar. In particular, it explores the use of three approaches, Dijkstra’s shortest path algorithm, Bellman-Ford shortest ...
  • Comparing the Efficiency of Different Normalization Methods using C4.5 Algorithm 
    Oo, Khin Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents three different types of normalization methods. Normalization is particularly useful for classification algorithm. Each normalization method is tested against the C4.5 algorithm methodology using the ...
  • Comparison and Performance Evaluation of Web Application and Cloud Application Based On Platform as a Service Framework 
    Lwin, Htet Htet; Naing, Thinn (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Cloud computing is an internet-based model of computing, where the shared information, software and resources are provided to computers and other devices upon demand. Cloud computing provides enormous business opportunity. ...
  • Comparison for Encryption Quality of RC5 and RC6 Block Cipher for Digital Image 
    Wai, Shwe Soe; Myaing, Khin Lay (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    RC5 and RC6 block ciphers are standard cryptographic Encryption Algorithm for Digital Images. RC5 and RC6 block cipher can be considered to be a real-time secure symmetric encryption for digital images. Experiments ...
  • Comparison of Apriori Algorithm and Frequent Pattern Growth Approach 
    Maung, Thida Wai; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is the process of analyzing large data sets in order to find patterns that can be help to isolate key variables to build predictive models for management decision making. The discovery of interesting ...
  • Comparison of Apriori, FP-growth and Dynamic FP- growth for Frequent Patterns 
    Cho, War War; Nwe, Nwe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent pattern mining is one of the active research themes in data mining. It is an important role in all data mining tasks such as clustering, classification, prediction and association analysis. Frequent pattern is the ...
  • Comparison of Belief Network Classifier and Rule-based System for Diagnosis of Liver Diseases 
    Thu, Mi Swe Zar; Mar, Soe Hay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Computer base methods are increasingly used to improve the quality of medical services. Expert system uses knowledge, facts and reasoning techniques to solve problems that normally require the expertise, experiences and ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Comparison of Clustering with Self Organizing Map and Fuzzy C-Means Algorithm 
    Maung, Hsu Mon; Win, Tha Pyay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering partitions a set of objects into non-overlapping subsets called clusters such that objects inside each cluster are similar to each other and objects from different clusters are not similar. The set of non-overlapping ...
  • Comparison of Differential Evolution and Back-propagation Algorithms at Training Neural Network 
    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 ...
  • Comparison of Lighting Effects for the Visualization of an Object Using Direct3D 
    Thida, Pyae (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper seeks to examine the advantages of three dimensional (3D) computer graphics on the personal computers. 3D scene, including the objects named TableDisk, TableLegs and even the landscape with the sky, is designed ...
  • Comparison of Multilayer Feed Forward Neural Network and Hopfield Neural Network upon Buddhist Iconographies Classification 
    Aye, Thin Thin; Khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper proposes two types of artificial neural networks to classify the Buddhist iconographies in order to compare the performances of two networks; multilayer feed forward network and Hopfield network. The quality of ...
  • Comparison of Normal Neural Network Ensemble and Clustering Based Neural Network Ensemble 
    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 ...
  • Comparison of Radial Basis Function and Multilayer Perceptron upon Mushroom Classification 
    Soe, Thaw Thaw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposes two types of artificial neural networks to classify the mushroom in order to compare the performances of two networks; radial basis function and multilayer perceptron. Mushrooms are inexpensive and ...
  • Comparison of RSA and NTRU Cryptosystems on Wireless Network 
    Aung, Kyaw Htet; Win, Su Thawda (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Wireless technology , by its nature , violates fundamental security principles. Wireless messages move through the free-space environment on certain spectrum allocations, it is vulnerable to security threats. Common ...
  • Comparison of Security Level in RC6 and Rijndael Algorithms 
    Htwe, Tin Maung; Zaw, Win (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Internet and network applications are growing very fast, so the needs to protect such applications are increased. Encryption algorithms play a main role in information security systems. On the other side, those algorithms ...
  • Comparison of the K-Means and the K-Medoids Partitioning Algorithms for Clustering of Optical Mineralogy 
    Thu, Aye Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping the data into classes or clusters so that objects within a cluster have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. The dissimilarity ...
  • Comparison of Two Approaches for Part of Speech Tagging of Myanmar Language 
    Zin, Khine Khine; Thein, Ni Lar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Part-of-Speech (POS) Tagging is the process of assigning the words with their categories that best suits the definition of the word as well as the context of the sentence in which it is used. There are different approaches ...
  • Computer Problem-Solving by Applying Depth-First Search 
    San, Thet Htar; Bo, Aye Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Artificial Intelligence (AI) is the science and engineering of making intelligent machines, especially intelligent computer programs and AI is related to the similar task of using computers to understand human intelligence. ...

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