• Title/Summary/Keyword: distinctive feature of modeling

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A Study of Data Mining Techniques in Bankruptcy Prediction (데이터 마이닝 기법의 기업도산예측 실증분석)

  • Lee, Kidong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.2
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    • pp.105-127
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    • 2003
  • In this paper, four different data mining techniques, two neural networks and two statistical modeling techniques, are compared in terms of prediction accuracy in the context of bankruptcy prediction. In business setting, how to accurately detect the condition of a firm has been an important event in the literature. In neural networks, Backpropagation (BP) network and the Kohonen self-organizing feature map, are selected and compared each other while in statistical modeling techniques, discriminant analysis and logistic regression are also performed to provide performance benchmarks for the neural network experiment. The findings suggest that the BP network is a better choice among the data mining tools compared. This paper also identified some distinctive characteristics of Kohonen self-organizing feature map.

Applying Method of Special Effect for Multimedia Contents and Maya 3D Modeling (마야 3D 모델링과 애프터이펙트를 이용한 멀티미디어콘텐츠 특수효과 적용방법)

  • Kim, Hyun-Woo;Song, Teuk-Seob
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.525-528
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    • 2008
  • Recently multimedia contents is more important because multimedia media environment improved. In this paper, we study that special effect apply technique using after effect system for Maya 3D modeling. The system is useful for development 3D contents. We discuss usefulness, distinctive feature and applying part.

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Activity-oriented Modeling of Mass Production System (대량생산 체제의 Simulation을 위한 Activity 중심 Modeling)

  • Choe, Byeong-Gyu;Park, Seong-Ju;Sin, Ha-Yong
    • Journal of Korean Institute of Industrial Engineers
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    • v.12 no.1
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    • pp.119-131
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    • 1986
  • Described in this paper is a modelling methodology for mass production system simulation. The mass production system under consideration consists of various types of flow lines, special purpose production facilities, conveyor lines, palletized carts, and storage facilities. This type of production system is typical in home appliance industry, automobile industry, footwear industry, etc. where a variety of product mix are mass-produced. The modelling methodology is based on the "discrete-event formalism", and an "activity-oriented world view" is adopted to formalize the system description. A distinctive feature of the modelling methodology is that only the static structure (ie, system components) is included in the fixed model. The dynamic structure of the system is specified through a "data-driven" mechanism, which is an extension of the "experimental frame" concept. Each type of system components (ie, flow line, conveyors, carts, etc.) is formally modeled by using Activity Cycle Diagrams. The issue of "model structuring" is also addressed. The modeling methodology has been successfully applied in a real simulation study of a mass production system.

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Multiple-Shot Person Re-identification by Features Learned from Third-party Image Sets

  • Zhao, Yanna;Wang, Lei;Zhao, Xu;Liu, Yuncai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.2
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    • pp.775-792
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    • 2015
  • Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.

Modelling Strength and Ductility of Nanocrystalline Metallic Materials

  • Kim, Hyoung-Seop
    • Journal of Powder Materials
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    • v.8 no.3
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    • pp.168-173
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    • 2001
  • The effect of grain refinement of the strength and ductility of metallic materials is investigated. A model in which a single phase material is considered as an effectively two-phase one is discussed. A distinctive feature of the model is that grain boundaries are treated as a separate phase deforming by a diffusion mechanism. Deformation of the grain interior phase is assumed to be carried by two concurrent mechanism. Deformation of the grain interior phase is assumed to be carried by two concurrent mechanisms: dislocation glide and mass transfer by diffusion. The model was exemplified by simulating uniaxial tensile deformation of Cu down to the nanometer grain size. The results confirm the observed strain hardening behaviour and a trend for reduction of ductility with decreasing grain size at room temperature.

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Spreadsheet-based Educational Method for Management Science (스프레드시트를 기반으로 한 새로운 경영과학 강의 방식)

  • 정기호
    • Korean Management Science Review
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    • v.19 no.2
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    • pp.41-58
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    • 2002
  • New attempt has been made on Management Science (MS) education since the end of 1990s. The most distinctive feature of the new attempt is using spreadsheet program like Excel as a teaching tool for MS course. The spreadsheet program gives an excellent tool for modeling and solvina MS problems. In order to improve the pedagogical effect through using the spreadsheet program for MS course, new teaching model based on spreadsheet encompassing new course contents, effective instruction method, and examination method is needed. For this purpose, professors teaching MS should share their own teaching experiences and methods. So this paper explains remarkable functions of Excel and how to use them for the MS tools. This paper also stresses the importance of team project and case study to improve the effect of MS education through the use of Excel and presents some tips on MS education.

Automatic pronunciation assessment of English produced by Korean learners using articulatory features (조음자질을 이용한 한국인 학습자의 영어 발화 자동 발음 평가)

  • Ryu, Hyuksu;Chung, Minhwa
    • Phonetics and Speech Sciences
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    • v.8 no.4
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    • pp.103-113
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    • 2016
  • This paper aims to propose articulatory features as novel predictors for automatic pronunciation assessment of English produced by Korean learners. Based on the distinctive feature theory, where phonemes are represented as a set of articulatory/phonetic properties, we propose articulatory Goodness-Of-Pronunciation(aGOP) features in terms of the corresponding articulatory attributes, such as nasal, sonorant, anterior, etc. An English speech corpus spoken by Korean learners is used in the assessment modeling. In our system, learners' speech is forced aligned and recognized by using the acoustic and pronunciation models derived from the WSJ corpus (native North American speech) and the CMU pronouncing dictionary, respectively. In order to compute aGOP features, articulatory models are trained for the corresponding articulatory attributes. In addition to the proposed features, various features which are divided into four categories such as RATE, SEGMENT, SILENCE, and GOP are applied as a baseline. In order to enhance the assessment modeling performance and investigate the weights of the salient features, relevant features are extracted by using Best Subset Selection(BSS). The results show that the proposed model using aGOP features outperform the baseline. In addition, analysis of relevant features extracted by BSS reveals that the selected aGOP features represent the salient variations of Korean learners of English. The results are expected to be effective for automatic pronunciation error detection, as well.

A Study on the Gradual Differentiation in Parametric Design (패러매트릭 디자인에서의 점진적 조형특성 연구)

  • Kim, Yong-Hak;Ahn, Seong-Mo
    • Korean Institute of Interior Design Journal
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    • v.27 no.2
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    • pp.175-185
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    • 2018
  • The purpose of this study is to analyze the concept of 'Gradual Differentiation' in parametric design in terms of pure model logic and thus describe the distinctive feature from the previous design method. To meet the purpose, it explores external cases like gradual factor identified in natural phenomenon and artworks and define the inherent model principles into "Self-similarity', "Correlation', and 'Temporality' by examining these features in terms of algorithm. Meanwhile, it identified the principle of gradual model representation in parametric design within a single system called 'Attractor System' by applying these three concepts into specific methods of parametric design, and by interpreting the logical structure through the association among 'Attractor', 'Field', and 'Differentiation'. The creative utilization of parameter shows that gradual model process in parametric design does not mean a passive "conversion process" merely replacing natural parameter with algorithm; rather, it refers to an active "generating process" creating new meanings and value. By continuing this process of conceptual understanding and insight, creative perspective and practical ability to interpret parameter can be improved.

Formative Application Using Korean Traditional Paper (한지패션소재의 조형적 활용)

  • Kim, Young-Eun
    • Fashion & Textile Research Journal
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    • v.7 no.5
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    • pp.472-480
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    • 2005
  • It was proved the practical use of the unique traditional Korean paper through the previous researches. The purpose of this study was to suggest the adequate application which is making various applied patterns in the fashion products so as to contribute to textile, fashion, and Korean paper industry. Six kinds of vests with the same fashion material using the Korean traditional paper were manufactured in order to investigate the images of materials in case of wearing them on the actual human bodies. As the results of image assessment for the materials and the factor analysis, 'classical', 'natural', 'Korean traditional', 'rural' and 'luxury' images were presented as the representative image of the Korean traditional paper material. Making repeated patterns of stripes and zigzag by sewing-machine stitches showed the natural effect on Korean traditional paper. Well-matched harmony was shown between holes made by the needle in sewing and slits torn by the tension to the needle and the thread. Especially, transparency by irregular holes formed by artificial frictional washing could shown special formative arts harmoniously with semi-transparency of Korea traditional paper and touch of sewing yarn. After the unripe persimmon dyeing, holes made by the needle became more hard and tight. The changes were no longer shown by the artificial frictional washing and then fixed. As the result of applying the Korean traditional paper fashion materials with various patterns for the basic formed garments, it was shown that the common and simple garments were changed the garments with special formation which could be found on the art garments due to the creative touch and formative arts using the Korea traditional paper fashion material. A variety of formative application by means of the developed samples was suggested to enlarge the practicality. As the result of this study, it was discovered that the possibility and application of fashion goods through the developed samples made of Korean traditional paper.

The Role of stock market management and social media - Analyzing the types of individual investor and topic - (주식시장관리제도와 소셜 미디어의 역할 - 개인 투자자 집단 유형과 토픽 분석 -)

  • Kim, Jung-Su;Lee, Suk-Jun
    • Management & Information Systems Review
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    • v.34 no.5
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    • pp.23-47
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    • 2015
  • In the Korea stock market, individual investors have perceived stock as short arbitrage investment, not long-term investment strategy. In order to reinforce stock market transparency and soundness, it is important to enforce the measures for stock market management. Especially, stock market event caused by financial policy can be given individual investors negative information regarding a stock trading. Thus, it is a need for investigating whether comprehensive review of listing eligibility is influenced on individual investors' responses and stock behaviors in respect of effectiveness. The purpose of this study to examine the relations between such stock market management and transitional aspect of individual investors' trading types and response on the based of pre- and post-event occurrence. Using an dataset of user's text messages on 9 firms posted on the firm-based social media (i.e., Naver, Daum, Paxnet) over the period 2009 to 2014. And we performed text-clustering and topic modeling according to keywords for classifying into investors group and non-investors groups and two types of investors were categorized depending on main topic transition by event windows in Comprehensive review of listing eligibility. The results indicated that a variety of stockholders existed in the stock. And the ratio of non-investors group was on the decrease, on the other hand, the proportion of investors group veer onto the side of pre-pattern after comprehensive review of listing eligibility. A distinctive feature of our study is to explain the influence of stock market management on response changes of individual investors as well as to categorize in accordance with time progression. Implications an suggestions for future research were also discussed.

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