2018 10th International Conference on Knowledge and Smart Technology (KST)

31 Jan.-3 Feb. 2018

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Displaying Results 1 - 25 of 62
  • [Front cover]

    Publication Year: 2018, Page(s): 1
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  • KST 2018 Message Page

    Publication Year: 2018, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (91 KB)

    Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • KST 2018 Committees

    Publication Year: 2018, Page(s):1 - 8
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  • KST 2018 Keynote Page

    Publication Year: 2018, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (39 KB)

    Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • KST 2018 Keynote Page

    Publication Year: 2018, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (39 KB)

    Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • KST 2018 TOC

    Publication Year: 2018, Page(s):1 - 3
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  • KST 2018 TOC

    Publication Year: 2018, Page(s):1 - 7
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    Freely Available from IEEE
  • Integrating Bat Algorithm to Ordinal Optimization for Solving the Facility-Sizing Problem

    Publication Year: 2018, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (125 KB) | HTML iconHTML

    Facility-sizing is more essential on small sites due to limitations on the space and the effects of imprecise judgement of facility size. The aim of facility-sizing problem is to efficiently install the facility to minimize the cost of installation and lower the probability of violating demand. In this work, an approach integrating bat algorithm (BA) to ordinal optimization (OO) is developed to rm... View full abstract»

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  • Sampled-data control for continuous-time Markovian jump fuzzy systems

    Publication Year: 2018, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (298 KB) | HTML iconHTML

    This paper proposes the stabilization criterion for continuous-time Markovian jump fuzzy systems (MJFSs) via sampled-data control. First, the proposed criterion based on a fuzzy-weighting-dependent Lyapunov function is formulated in terms of parameterized linear matrix inequalities (PLMIs). The PLMIs conditions are converted into less conservative linear matrix inequalities (LMIs) conditions by th... View full abstract»

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  • Measure of the Ability Dominance of Tournament Systems and Subjective Judgment

    Publication Year: 2018, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB) | HTML iconHTML

    Tournament systems in sports contests need to reflect players' performance appropriately as well as draw people's interest. In this study, we formulate the relationship between players' strengths and winning probabilities based on the Elo rating system. We propose a scale for evaluating the extent to which a tournament system reflects the strength of players. To calculate the scale concretely, we ... View full abstract»

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  • q-Sine Circular Extreme Learning Machine for High Dimensional Data

    Publication Year: 2018, Page(s):19 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (303 KB) | HTML iconHTML

    Circular Extreme Learning Machine(CELM) is the fast training neuron network that can handle the high dimensional data. The study of CELM has shown the effectiveness of using sine activation to improve the CELM more accuracy than the original CELM with the sigmoid function. However, the sine function can develop to the q-sine function that can make flexible to the sine activation by taking the para... View full abstract»

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  • Optimizing Location-Routing Problem using Iterative Combination of GA and VNS

    Publication Year: 2018, Page(s):24 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (379 KB) | HTML iconHTML

    The location routing problem (LRP), which involves the decision of depot locations and vehicle routings, is one of the main factors for the success of logistic system. This paper focuses on solving LRP with multiple capacitated depots and multiple capacitated vehicles per depot. To generate a solution with approximate minimum system's total cost, a hybridization method is proposed to make facility... View full abstract»

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  • Feature Selection for Composer Classification Method using Quantity of Information

    Publication Year: 2018, Page(s):30 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    This paper presents a method to select music features and demonstrates how long a music phrases should be in order to be use as a feature of a composer classification task using the quantity of information. Obtaining the quantity of information is equivalent to estimating the likelihood; or how likely the music piece appears assuming the piece is drawn from set of pieces of the selected composer. ... View full abstract»

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  • A Differential Evolution-based Rule Ordering of Cellular Automata for Classification

    Publication Year: 2018, Page(s):34 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB) | HTML iconHTML

    This paper proposed a differential evolution-based rule ordering of cellular automata for classification, called DEROCA. DEROCA aims to improve the performance of Cellular Automata-based Classmer (CAC) previously presented. CAC faced a problem of rule ordering in classification. It utilized Genetic Algorithm (GA) which reported the drawback when copes with complicated problems with high dimension ... View full abstract»

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  • Time Series based Gastropod Classification

    Publication Year: 2018, Page(s):40 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB) | HTML iconHTML

    This paper presents Series-K, an automatic Gastropod classification system based on Time Series and k-Nearest Neighbor. Species evolve over time. Biologists have discovered, attempted to describe and put them into categories. Our proposed method automatically processes gastropods' images to help the malacologists accurately identify gastropods into their natural families. The method would further ... View full abstract»

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  • Curriculum Analysis Based on Cerebral Hemisphere Functions Using Association Rule

    Publication Year: 2018, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (195 KB) | HTML iconHTML

    This paper presents the usage of Data mining techniques with Association rules to analyze students grades and curriculum base on Cerebral Hemisphere functions. The goal of this investigation to break down the correlation of balancing of subjects in the educational modules base on left and right hemisphere those results evaluations of students. To prepare the information for decision support to dev... View full abstract»

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  • 3D Model Compression over ASCII Encoded Using Rotational and Reflective Symmetry

    Publication Year: 2018, Page(s):53 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB) | HTML iconHTML

    At present, graphics applications increase models complexity in order to get high quality images. Therefore, they are confronted with problems of limitations in memory capacity for object details. Optimizing memory usage by reducing the amount of data required for a 3D model with visual fidelity is one of strategies used. In this paper, we propose a new compression method to reduce the data size o... View full abstract»

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  • Efficient weighted-frequent-regular itemsets mining using interval word segments structure

    Publication Year: 2018, Page(s):59 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (418 KB) | HTML iconHTML

    Recently, weighted-frequent regular itemset mining has been introduced to discover interesting itemsets based on observation of their occurrence behavior and difference of items' importance. The weighted-support and regularity of occurrence are applied to measure interestingness of itemsets. However, with a large amount of items to be considered, the mining process consumes high computational time... View full abstract»

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  • Discovery and Visualization of Expertise Evolution and Tendency

    Publication Year: 2018, Page(s):68 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (211 KB) | HTML iconHTML

    This paper presents a technique to discover expertise in research topics that authors have been contributed over the time through their publications. The process starts with typical natural language processing, followed by a topic modeling technique to extract the annual contribution in research topics and the discovery of evolution and tendency for a particular author. A bubble graph for expertis... View full abstract»

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  • Mining Acceleration Data for Smartphone-based Fall Detection

    Publication Year: 2018, Page(s):74 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    Falls have become a public health problem that directly affects the quality of life in the elderly people. For many years, a variety of methods has been studied to develop a system that detects falls at the earliest, aiming to avoid their consequences. However, existing systems developed for monitoring a person of interest are expensive and impractical to use. Recently, smartphone-based fall detec... View full abstract»

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  • Longest Matching and Rule-based Techniques for Khmer Word Segmentation

    Publication Year: 2018, Page(s):80 - 83
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (131 KB) | HTML iconHTML

    Word boundaries are the essential assignment to be done in natural language processing research. In most Asian languages, as well as Khmer language, many studies involved with word segmentation have been investigated. In Khmer Word Segmentation, several approaches related to segmenting words based on dictionary have been studied. There are only few researches about solving unknown word problem. Th... View full abstract»

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  • A Lossless Image Compression Algorithm using Differential Subtraction Chain

    Publication Year: 2018, Page(s):84 - 89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB) | HTML iconHTML

    This paper presents a novel algorithm for image compression aiming to reduce data packet size, resulting in effective bandwidth utilization during data transmissions. The algorithm referred to as Differential Subtraction Chain (DSC) consists of three steps. First, it separates an image file to three matrices of RGB. Second, it computes element-wise different values in each pixel between R and G ma... View full abstract»

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  • Creative Knowledge Employees’ Assesment of Flexitime Utilisability

    Publication Year: 2018, Page(s):90 - 94
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB) | HTML iconHTML

    The outcome of creative work in the IT, technology and R&D business depends heavily on the efficient utilization of the knowledge and creativity of the employees. Flexibility in working time arrangements may provide an opportunity to improve the use of individual intellectual capacity through aligning working time better to personal needs. We have performed a survey among Estonian IT and produ... View full abstract»

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  • A Framework for Recommender System Based on Game Theory in Social Networks

    Publication Year: 2018, Page(s):95 - 100
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    This paper presents a recommender system based on a game theory in which the recommendations are made from user-item ratings. The user-item ratings are the most essential factor for a social network to maintain its social relationships among users. It is not possible for a social network to force all of its users to rate items and such techniques are not formed yet. In this paper, game theory and ... View full abstract»

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  • Short-Term Sales Forecast of Perishable Goods for Franchise Business

    Publication Year: 2018, Page(s):101 - 105
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (254 KB) | HTML iconHTML

    In a franchise chain system, the franchise organization grants the right to the franchisee to represent and sell its products, but franchisee can only order products from them. Due to the buy-out policy of ordering, franchisee store managers perform demand forecasting and inventory control based on their sales performance and experience. While the products are perishable goods with a very-short pr... View full abstract»

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