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  • Improving Lookup Performance and Consistency in DHT 
    Aung, Aye Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    During recent years, Distributed Hash Table (DHTs) have been extensively studied through simulation and analysis. As a fundamental problem in DHT based P2P system, lookup consistency and load balancing is important to avoid ...
  • Improving Myanmar Image Caption Generation Using NASNetLarge and Bi-directional LSTM 
    Aung, San Pa Pa; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    The main objective of this paper is to improve the automatic Myanmar captions by learning the contents of images using NASNetLarge and Bi-LSTM model. Describing the contents of an image is a complex task for machine without ...
  • Improving of Online Banking Security 
    Maw, Zin Zin; Mya, Khin Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    XML (Extensible Markup Language) is a general-purpose specification for creating custom markup languages. XML Encryption provides endto- end security for applications that require secure exchange of structured data. ...
  • Improving Processing Time of Big Data Analytic on Mobile Cloud Computing 
    Win, Ngu Wah (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    The growth of big data is a result of the variety of data through user generated data from many devices. Today, big data analytics, extracting data knowledge from large datasets, is shifted from personal desktop computer ...
  • Improving Statistical Myanmar to English Machine Translation through Morphological Analysis 
    Zin, Thet Thet; Soe, Khin Mar; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In this paper, we present a translation model of Myanmar phrases for statistical machine translation. Phrase based SMT models have limitations in mapping from the source to target language without using linguistic ...
  • IMPROVING THE ACCURACY OF CONVOLUTIONAL NEURAL NETWORK BY APPLYING RANDOM SAMPLING METHODS ON NSL-KDD DATASET 
    Sann, Aye Thawta (University of Computer Studies, Yangon, 2022-09)
    An Intrusion Detection System (IDS) acts as a cyber security system which monitors and detects any security threats for software and hardware running on the network. Although there have many existing IDS but still face ...
  • Improving the Accuracy of Classifier with the Ensemble of Centroid Based Algorithms 
    Khine, Phyo Thu Thu; Win, Htwe Pa Pa (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Classification accuracy improvement is an essential process in data analysis problems and large amount of data generated in extra bytes per year are produced by many real world application. There are many enhancement ...
  • Improving the Availability of NoSQL Databases for Cloud Storage 
    Thant, Phyo Thandar; Naing, Thinn Thu (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Data storage management plays a vital role in cloud computing environment. The researchers are still trying to make the cloud data storage system to be more mature. And there are two major requirements of datastores ...
  • Improving the Fault Tolerance for Distributed Database Using Check Pointing and Agent System 
    Oo, May Mar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Fault tolerance is very essential for distributed database in a client server environment. In that distributed database system, a partial failure may happen when one component fail in the system. This failure may affect ...
  • Improving the performance of Hadoop MapReduce Applications via Optimization of Concurrent Containers Per Node 
    Htay, Than Than; Phyu, Sabai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Apache Hadoop is a distributed platform for storing, processing and analyzing of big data on commodity machines. Hadoop has tunable parameters and they affect the performance of MapReduce applications significantly. ...
  • Improving the Security in Wireless Network System Using NTRU 
    Tin, Myat Mon; San, Kalyar Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Reliable technology is not enough to ensure the security for the many application systems. Such several reliability deficiencies become the vital part of the security level in today wireless technology. Efficient cryptographic ...
  • Incremental Mining of Association Rules by Using Adaptive Algorithm 
    Htoo, Naw Lu Lu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining has recently attracted tremendous amount ofattention in the database research because of its wide applicability in many areas, including decision support, market strategy and financial forecast. One of the most ...
  • Influence of Voice Delay on Human Perception of Group Synchronization Error for Remote Learning One-way Communication Case 
    Lwin, Hay Mar Mo Mo; Ishibashi, Yutaka; Mya, Khin Than (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This paper clarifies the influence of the voice delay on human perception of group synchronization error in remote learning by subjective assessment. In our assessment, we produce the difference in output timing of ...
  • Information Encryption Scheme Based on Visual Cryptography and Nonlinear Pseudorandom Sequence 
    Yu, Thin Thin; Mya, Khin Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Security requires the integration of people, process, and technology. Strong information encryption and decryption scheme are crucially important for information technology. Nowadays, secret sharing is one popular ...
  • Information Extraction from Social Media 
    Nwe, San San; Tun, Khin Nwe Ni (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    With the proliferation of social media sites, such as Twitter, Facebook, and LinkedIn, social streams have proven to contain the most up-to-date information on current events. Therefore, it is crucial to extract activities ...
  • Information Extraction System for IT Related Job 
    Aye, Pyae Pyae; Hla, Ni Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The current development of Web applications such as Blogs and Wikipedia enables users to easily create and disseminate their contents in the Web. As the contents on the Web are rapidly growing, the quantity of information ...
  • Information Gain Measured Feature Selection to Reduce High Dimensional Data 
    Win, Thee Zin; Kham, Nang Saing Moon (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    While demand of the massive amount of data to be more effective and efficient mining strategies is increasing significantly, practitioners and researchers are trying to develop scalable machine learning algorithms and ...
  • Information Hiding in Audio File by Using the Combination of Steganography and Cryptography 
    Dar, Moe San; Khin, Thu Zar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the technique of embedding data in an audio signal by inserting low power tones and its robustness to noise and mixing if embedded wave audio. Information is an aspect that has a value like any other ...
  • Information Retrieval for Pharmacy using Location Based Mobile System 
    Aung, Myat Su; Zaw, Ei Phyu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of e-commerce. In this technology, web services become very popular and used to communicate over the ...
  • Information Retrieval from eXist Native XML Database (NXD) by using Xpath 
    Hlaing, Swe Zin; Bwa, Naw Lel Bwe Paw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The exponential group of the Internet and the Web has flooded with huge quantities of data in different formats on a variety of web pages. It is one of the most important to find information not only fastly but also ...

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