• Title/Summary/Keyword: mapping method

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MULTIPLE SOLUTIONS FOR A SUSPENDING BEAM EQUATION AND THE GEOMETRY OF THE MAPPING

  • Jung, Tacksun;Choi, Q-Heung
    • Korean Journal of Mathematics
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    • v.17 no.2
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    • pp.211-218
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    • 2009
  • We investigate the multiple solutions for a suspending beam equation with jumping nonlinearity crossing three eigenvalues, with Dirichlet boundary condition and periodic condition. We show the existence of at least six nontrivial periodic solutions for the equation by using the finite dimensional reduction method and the geometry of the mapping.

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New Image Mapping Algorithm for 3D Integral Imaging Display System used in Virtual Reality

  • Suk, Myung-Hoon;Min, Sung-Wook
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07a
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    • pp.41-45
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    • 2005
  • A new algorithm of the image mapping which is a technique of the elemental image generation is proposed. The proposed method is based on the characteristics of the lens array such as the number, the size and the focal length of the elemental lens. The 3D image generated by 3D graphic API such as OpenGL can be directly adopted without the complex adaptation. Since the image mapping using the proposed method can enhance the speed of the elemental image generation, the computer- generated integral imaging system can be applied to virtual reality system.

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Gamut Mapping Algorithm for Image Quality Enhancement (화질 향상을 위한 색역 사상)

  • 김재철;허태욱;조맹섭
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.251-254
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    • 2002
  • Currently many devices reproduce electronic images in a variety of ways. However, the colors that are reproduced are different from the original color due to the differences in the gamut between devices. In this paper, a gamut mapping method utilizing a simultaneous mapping function and a lightness rescaling is proposed. This method enhance the local-color characteristics and lightness contrast. The experimental result shows that the overall contrast and the colorfulness were increased.

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FUZZY PROCESSING BASED ON ALPHA-CUT MAPPING

  • Stoica, Adrian
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1266-1269
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    • 1993
  • The paper introduces a new method for fuzzy processing. The method allows handing a piece of information lost in the classic fuzzification process, and thus neglected by other methods. Processing the result after fuzzification is sustained by the interpretation that the input-output set mapping, specified by the IF-THEN rules, can be regarded as a direct mapping of their corresponding alpha-cuts. Processing involves just singletons as intermediary results, the final result being a combination of singletons obtained from fired rules.

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A STUDY ON STABILIZATION FOR NUMERICAL CONFORMAL MAPPING

  • SONG EUN-JEE
    • Journal of applied mathematics & informatics
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    • v.20 no.1_2
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    • pp.611-621
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    • 2006
  • This paper is to discuss the numerical conformal mapping from the unit disk onto Jordan region, which can be solved by Theodorsen equation. Wegmann's method has been known as the most efficient one for the Theodorsen equation. However, we found divergence through numerical experiments by the iterative method of Wegmann. The divergence occurs especially when some degree of difficulty is high. We analyze the cause of divergence and propose an improved method by applying a low frequency pass filter to Wegmann's method. By this proposed method we can get a stable convergence for all the problems which was unstable with the Wegmann's method.

Design and Development of a System for Mapping of Medical Standard Terminologies (표준 의학 용어체계의 매핑을 위한 시스템의 설계 및 개발)

  • Lee, In-Keun;Kim, Hwa-Sun;Cho, Hune
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.237-243
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    • 2011
  • Various standard terminologies in medical field are composed individually to different structure. Therefore, information on crosswalking between the terminologies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by composing various terminologies. However, the tools also have difficulty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving information on location and structure of the terminologies. And the mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, various types of mapping information could be defined and created in the system because mapping data are constructed as triplets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, RDF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.

Neural Networks which Approximate One-to-Many Mapping

  • Lee, Choon-Young;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.41.5-41
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    • 2001
  • A novel method is introduced for determining the weights of a regularization network which approximates one-to-many mapping. A conventional neural network will converges to the average value when outputs are multiple for one input. The capability of proposed network is demonstrated by an example of learning inverse mapping.

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A Study on Effects of the Concept Mapping for Biology Learning (생물학습에 개념도를 이용한 효과에 관한 연구)

  • Song, Whan-Sung;Kim, Jin-Tae;Hur, Chin-Hyu
    • Journal of The Korean Association For Science Education
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    • v.19 no.3
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    • pp.479-486
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    • 1999
  • This study was to inquire the effectiveness of concept mapping on the learning of biology concept. In this study the achivement acquired by the students in the classes of individual concept mapping and cooperative concept mapping were compared with those of traditional lecture on "photosynthesis and plant respiration". The concept mapping teaching methods, by individuals and groups. were more effective than traditional one. The results of analysis of covariance (ANCOVA) showed that these difference were statistically significant; individual concept mapping was more effective than traditional class result(p<.008). Also the cooperative concept mapping was effective than traditional class result(p<.0001). And the cooperative concept mapping was more effective than the individual one(p<.04). So that cooperative concept mapping is the most effective method in biology class.

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