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  • Attack Experiments on Elliptic Curves of Prime and Binary Fields 
    Hla, Ni Ni; Aung, Tun Myat (Advances in Intelligent Systems and Computing (IEMIS 2018 Vol. 1), 2018-12-12)
    At the beginning the paper describes the basic properties of finite field arithmetic and elliptic curve arithmetic over prime and binary fields. Then it discusses the elliptic curve discrete logarithm problem and its ...
  • Attribute Level De-duplication Backup System for Relational Database 
    Sint, Than Than; Thein, Ni Lar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Efficient storage utilization is very important for today’s business organizations to maintain business continuity and reduce the operational costs. Most of enterprises need large amount of data to operate their daily ...
  • Attribute Level Locking to Improve Data Availability in a Distributed System 
    Aung, Swe Zin (University of Computer Studies, Yangon, 2020-01)
    Distributed systems consist of a number of computers connected over a network in which numerous users are using such systems locally or via the Internet to meet their requirements. As the system is multiple users’ ...
  • Attribute-Oriented Induction based Data Generalization for Relational Databases 
    Oo, Zin May; Phyu, Sabai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data Mining is the task of discovering interesting patterns from large amounts of data where the data can be stored in relational databases. Data generalization is a process that abstracts a large set of data in a ...
  • Audio Classification Framework based on DSVM 
    Lin, K Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The explanation of how a decision made is important for accepting the machine learning technology, especially for applications such as multimedia. SVMs have shown strong generalization ability in a number of application ...
  • Audio Classification in Speech and Music by using Neural Network: Multilayer Perceptron 
    Myint, Ei Sandar; Ni, Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Audio classification can be used in many different applications. Rapid increase in the amount of audio data demands for an efficient method to automatically segment or classify audio stream based on its content. This paper ...
  • Audio Classification using Gaussian Mixture Model 
    Myint, Yuzana; Swe, Ei Mon Mon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    This paper describes the work done on the development of an audio classification system. Audio recordings are classified into basic audio types such as speech or music. Audio classification is processed in two parts, ...
  • Audio Event Classification using the Genetic Regulatory Network 
    Kyaw, Tin Ei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The massive multimedia data, including video, audio, and text can be used by users in content browsing, retrieval, classification management. In this study, audio event classification through a Genetic Regulatory Network ...
  • Audio Event Detection in Noisy Environments 
    Aung, Htet Htet (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper describes an approach for an audio event detection system in noisy environments. The system specifically focuses on classification of an audio event as gunshot, scream or ambient noise. For discriminating gunshot ...
  • Audio Fingerprinting based on Wavelet Spectral Entropy 
    Linn, Kyi Chan Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Audio-Fingerprints (AFPs) are essential characteristics of digital audio streams used to score the perceptual similarity between audio signals. Audio-fingerprinting systems extract features from the signal normally on ...
  • Audio Steganalysis Based on Independent Component Analysis 
    Tint, Yawai; Mya, Khin Than (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Steganalysis is the art and science of detecting messages hidden using steganography. This paper proposes steganalysis of audio signal using Independent Component Analysis. A detection method is used for detecting ...
  • THE AUDIO STEGANALYSIS SYSTEM BASED ON MUTUAL INFORMATION APPROACH 
    Hlaing, Su Su (University of Computer Studies, Yangon, 2022-06)
    Steganography is a technique whereby we put the existence of a message to question by simply covering it up within another file image or video. This system used the input audio signals as hidden message with audio ...
  • Audio Steganography based on Bit Modification 
    Soe, Thinzar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Steganography is the technique of hiding confidential information within any media. Embedding convert audio message in cover speech utterances for secure communication is considered. Information embedding by bit modification ...
  • An Audio Steganography Scheme Robust to White Gaussian Noise Attack 
    Su, Ei Thin (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    An innovative audio Steganography scheme based on optimize algorithm as Probabilistic Global Search Lausanne (PGSL) in modified discrete cosine transform domain (MDCT) is proposed. Inaudibility and robustness are two ...
  • Audio Steganography using Probabilistic Global Search Lausanne Algorithm 
    Su, Ei Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Audio Steganography is an art of hiding secret information within multimedia objects to prevent unauthorized persons. Information hiding technique using audio sound files is a new kind of secret communication technology. ...
  • An Audio Watermarking Approach in Discrete Wavelet Transform Domain 
    Tun, Ei Ei (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    A popular approach employed to embed imperceptible structures into digital media files in order to hinder unauthorized copying distribution is digital watermarking. Digital watermarking adds additional information into ...
  • Augmenting Matching Algorithm on the Bipartite Graphs 
    Paing, Wai Oo; Thant, Khin Phyo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Discrete or Decision Mathematics is a useful subject for making the undesirable or impossible decisions especially for the assignment problems. These problems can be expressed in the graphs because graphs are used to ...
  • Authentication System for Online Examination Using Keyed-Hash Message Authentication Code and Multi-agent System 
    Tint, Yin Lai Winn; Hlaing, Swe Zin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Agents are independent pieces of software capable of acting autonomously in response to input from their environment. A multi-agent system is a system composed of numerous agents. Besides, it can be used to solve ...
  • Automated Detection of Lung Tuberculosis Based on X-ray Image Analysis 
    Oo, May Thitsa; Htway, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Detection of lung tuberculosis is mostly based on X-ray images. Image segmentation is important in different fields of image processing. Image segmentation is process of dividing images according to its characteristics. ...
  • An Automated Fuzzy Logic Controlled Water Heater 
    Hein, Chit La Pyae Myo; Win, Tha Pyay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Fuzzy logic is a rule-based decision process that seeks to solve problems where the system is difficult to model and where ambiguity or vagueness is abundant between two extremes. Fuzzy logic allows the system to be defined ...

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