Now showing items 1-4 of 4

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    A framework for implementation of Thai to English machine translation systems 

    Tawee Chimsuk; Surapong Auwatanamongkol (National Institute of Development Administration, 2010)

    Machine translation (MT) is a sub-field of computational linguistics that investigates the use of computer software to translate text or speech from one language to another. It can help people to communicate with others with different natural languages. Machine Translation (MT) between Thai and English languages bas been an ongoing and challenging research topic. Most research has been done on English to Thai machine translation. but not the other way around. Developing a machine translation system which can correctly translate any sentence ...
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    Image parsing using local features of superpixels and genetic algorithm 

    Joseph, Ferdin Joe John; Surapong Auwatanamongkol (National Institute of Development Administration, 2014)

    Image porsing is a new avenue in the field of Computer Vision and Machine Learning. Similar to parsing of text into meaningful tokens and classifying them based on the user discretions, images are also parsed to understand the contents of the image. In this regard, there lies a need for image parsing systems to parse the images and understand the contents of the images in an efficient way. In the recent past various image parsing methodologies are proposed with huge fcaturc sct and ambiguity in performance based on class and pixels detected. Many ...
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    Multi-objective genetic algorithm for supervised clustering 

    Vipa Thananant; Surapong Auwatanamongkol (National Institute of Development Administration, 2018)

    Supervised clustering organizes data instances into clusters on the basis of similarities between the data instances as well as class labels for the data instances. Supervised clustering seeks to meet multiple objectives, such as compactness of clusters, homogeneity of data in clusters with respect to their class labels, and separateness of clusters. With these objectives in mind, a new supervised clustering algorithm based on a multi-objective crowding genetic algorithm, named SC-MOGA, is proposed in this thesis. The algorithm searches for ...
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    SAITULAA NARANONG; Surapong Auwatanamongkol; Surapong Auwatanamongkol (National Institute of Development Administration)

    The field of steganography deals with the encoding of hidden messages into other data, called the cover, in a manner that makes it non-obvious that a hidden message exists. Though steganography does not necessarily, on its own, encrypt the hidden data beyond deciphering, it can be used as a supplement to encryption, avoiding unnecessary attention from adversaries who may otherwise take additional measures if aware of the secret message. Many types of cover media may be used, ranging from text and formatted text documents, to audio and video, and ...