Recent Submissions

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    IT Design Skills Selection for Professional Development 

    Jittima Wongwuttiwat; Adtha Lawanna (2016-02)
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    A System for Popular Thai Slang Extraction from Social Media Content with N-Gram Based Tokenization (KST 2016) 

    Rachsuda Jiamthapthaksin; Pisal Setthawong; Nitipan Ratanasawetwad (2016-02)

    With increased penetration of smart devices and internet connectivity, many Thais are more readily engaged in social media, online forums, and chat groups. As there is an increased consumption of social media content, there is a shift from the consumption of traditional medias in which formal language are used regularly such as broadcast and traditional print medias. Social media posts are a reflection of the trend, where posts usually made by younger generations usually involve communication in slang and non-formal language which is not typica...
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    Clustering Analysis on Alumni Data Using Abandoned and Reborn Particle Swarm Optimization 

    Paulus Mudjihartono; Thitipong Tanprasert; Rachsuda Jiamthapthaksin (2016-02)
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    Distance measurement with smartphone using acceleration model of hand movement 

    Eakawat Tantamjarik; Thitipong Tanprasert (2016-02)
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    Multi-class Contour Preserving Classifacion 

    Piyabuth Fuangkhon; Thitipong Tanprasert (2012-08)

    The original contour preserving classification technique was proposed to improve the robustness and weight fault tolerance of a neu- ral network applied with a two-class linearly separable problem. It was recently found to be improving the level of accuracy of two-class classi- fication. This paper presents an augmentation of the original technique to improve the level of accuracy of multi-class classification by better preservation of the shape or distribution model of a multi-class problem. The test results on six real world multi-class d...
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    A Self-Growing and Self-Organizing Batch Map with Automatic Stopping Condition 

    Kim, Se Won; To, Tang Van (2013)

    This paper proposes a model of self-growing and self-organizing feature map designed to alleviate the difficulty of predetermining an appropriate size and shape of the feature map suitable for the input data in the applications of the Self-Organizing Map. The proposed model progressively builds a feature map by incremental growing of the network in a way that maintains two-dimensional regular grid structure and gradual adaptation of the reference vectors by coordinated competitive learning dynamics of the Batch Map algorithm. Experimental resul...
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    AIDE-adaptive instructional design model for E-learning 

    Thotsapon Sortrakul; Nida Denphaisarn (2009-11)

    Today, the new teaching and learning environment are changing because of an active usage of information technology. However, no matter how much technology becomes the essential element in learning, instructional designer has to consider the most appropriate methods to support an effective learning. The primary goal of instructional design is to guarantee the quality of online learning services by using technology-based instruction. In other words, the instructional design should be able to promote, facilitate, inspire deep learning and promo...
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    Attitudes toward using communication technologies in education: a comparative study of email and SMS 

    Boonlert Watjatrakul (2009-12)

    Educational institutions deploy email and short message service (SMS) to maintain efficient communication with their students. This research examines factors influencing students' attitudes toward using SMS and email, and compares the differences in the proposed factors between email and SMS. The results show that information richness and mobility affect students' perceived utility of email and SMS while information privacy and perceived utility affect the students' attitudes toward using email and SMS. Social pressure has found no impact on...
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    Diagnosing prostate cancer using backpropagation neural network and greedy decision procedure 

    Gopalakrishnan, Anilkumar K.; Thitipong Tanprasert; Faculty of Science and Technology (2010-05)

    A novel procedure for diagnosing prostate cancer (PC) based on Back propagation Neural Network (BPNN) is proposed. Elderly men with symptoms such as urinary retention, urinary hesitancy, urinary dribbling, burning urination, hematuria, etc. are considered as primary attributes. Prostate-specific antigen (PSA) level and Gleason score are the secondary attributes. Initial dataset is generated based on the clinical database. The BPNN assigns symptom levels of a set of patients based on their primary attributes. A greedy decision procedure pre...
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    Self-similarity measurement using percentage of angle similarity on correlations of face objects 

    Darun Kesrarat; Paitoon Porntrakoon (2009-07)

    A 2D face image can be used to search the self-similar images in the criminal database. This self-similar search can assist the human user to make the final decision among the retrieved images. In previous self-similar search, a 2D face image comprises of objects and object correlations. The attribute values of objects and their correlations are measured and stored in the face image database. The similarity percentage is specified to retrieve the self-similar images from the database. The problem of previous self-similar search is that the...
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    An incremental learning algorithm for supervised neural network with contour preserving Classification 

    Piyabute Fuangkhon; Thitipong Tanprasert (2009-05)

    This paper presents an alternative algorithm for integrating the existing knowledge of a supervised learning neural network with the new training data. The algorithm allows the existing knowledge to age out in slow rate as a neural network is gradually retrained with consecutive sets of new samples, resembling the change of application locality under a consistent environment. The algorithm also utilizes the contour preserving classification algorithm to increase the accuracy of classification. The experiment is performed on 2-dimension parti...
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    An adaptive learning algorithm for supervised neural network with contour preserving Classification 

    Piyabute Fuangkhon; Thitipong Tanprasert (2009-11)

    A study of noise tolerance characteristics of an adaptive learning algorithm for supervised neural network is presented in this paper. The algorithm allows the existing knowledge to age out in slow rate as a supervised neural network is gradually retrained with consecutive sets of new samples, resembling the change of application locality under a consistent environment. The algorithm utilizes the contour preserving classification algorithm to pre-process the training data to improve the classification and the noise tolerance. The experimenta...
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    Performance evaluation on multimedia traffic for DVB-RCS over satellite links 

    Surasee Prahmkaew (2009-12)

    Adaptive Rate Control (ARC) is a successful algorithm to increase the throughput to The Digital View Broadcasting Return Channel via Satellite (DVB-RCS) but the throughput and dropped traffic did not meet the Quality of Service (QoS) for multimedia traffic standard [ETSI EN 300 421 v.1.1.2]. This paper will present the modified ARC algorithm to overcome the QoS problem for multimedia traffic by prioritize dropped traffic to retransmit as voice, video, and data through the system. This modified mechanism will guarantee a certain level of QoS t...
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    Motion vector recovery for error concealment based on angular similarity 

    Siriwhaddhanah Pongpadpinit (2009-07)

    This paper presents a motion vector (MV) recovery using the similarity of the angle of the corresponding surrounded MVs. The approach is based on the assumption that a group of macroblocks (MBs) which belongs to the same object and resides in the same region likely to move in the same direction. hence, those corresponded MVs that move in the same direction likely to have similar angle. As a result a lost motion vector can be estimated using a set of candidate MVs selected from the neighbouring MVs on the left, top-left, top, top-right, right...
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    Creatinine prediction from body composition: a neural network approach 

    Thitipong Tanprasert; Chularat Tanprasert (2009-12)

    Creatinine, a naturally-produced chemical compound in blood, has been commonly used as a reliable indicator of kidney function. Creatinine level is typically obtained from blood-test. In this paper, a technique for predicting the criticality of creatinine level in blood is presented. The proposed technique takes only body size and mass parameters obtained from advanced weighing scale and body scanner, allowing the prediction to be done more casually. The technique applies a multi-layered feed-forward neural network for developing the predic...
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    The impact of maketing communiation factors on consumers' purchasing decision of discout stores in Thailand 

    Titida Nochai (2009-12)

    The objective of this study is to investigate the marketing communication factors that impact on consumers' purchasing decision on discount store in Thailand. The multinomial logistic regression analysis was used and the attitude survey was conducted from 450 consumers have shopped among top three discount store operators: Tesco Lotus, Big C, and Carrefour. The results of this study show that the marketing communication factors in order to increase the customer base and make more market share in this segmentation. Tesco lotus should maintain...
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    Applying logistic regression analysis: a study of the influential factors on consumers' purchasing decision toward mobile service provider in Bangkok, Thailand 

    Titida Nochai (2009-10)

    Logistic regression analysis is one of multivariate analysis where the outcome of dependent variable is categorical variable and the independents are quantitative variables, categorical variables, or both. The objective of this study was to propose the application of logistic regression analysis in order to identify the influential factors on consumers' purchasing decision among top three mobile service providers in Thailand: Advanced Info Service Public Col, Ltd (AIS), Total Access communication Public Col, Ltd (DTAC), and True Corporation Pu...
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