• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.121-124
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• 2004

XML(eXtensible Markup Language)은 용이한 이식성, 정보 표현의 유연성 및 폭넓은 확장성 등의 장점을 가지고 있어 웹상에서의 데이터 표현, 상호교환, 검색을 위한 포맷으로 널리 사용되고 있다. XML 문서의 검색을 위해 다양한 질의 언어들이 제안되었는데 그 중 XQuery는 사실상 XML 질의 언어의 표준으로 자리잡았다. 본 논문에서는 현재 XQuery 구문에서 그 기능이 제공되고 있지는 않지만 일반적인 SQL에서처럼 데이터의 재구성과 집계처리를 위한 그룹화를 쉽게 해주는 명시적인 group by 도입을 통한 효율적인 질의 표현 기법을 제안하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.236-237
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• 2019

IMO는 MEPC 73차(2018.10) 회의에서 선박부착생물 관리절차, 방오성능, 수중소제, 선체설계 및 교육사항이 구체적으로 명시될 수 있도록 기존 지침의 유효성평가가 승인되었으며 수집된 정보를 바탕으로 관리지침서 개정을 검토하고 있어 향후 선박부착생물 관리 가이드라인도 규제화 될 가능성이 높다. 우리나라는 IMO 선체 부착생물규제 대응하기 위해 외래 유해침임종 관리를 위한 최적을 방안을 도출 할 필요가 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.344-347
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• 2010

최근 주목받고 있는 의미적 정보처리의 지식베이스인 온톨로지는 정형화된 표현을 통해 정확한 지식 처리와 추론관계를 명시해야 하기 때문에 온톨로지 확장에 대한 중요성 역시 강조되고 있다. 온톨로지 확장을 위한 기존의 방법들은 전문가를 통한 수작업 형태이거나 보편화된 사전이나 시소러스 집단의 분석을 통한 통계의 확률분포를 이용하는 반자동화된 방법들이 있다. 이에 본 논문에서는 Wikipedia에서 특정 도메인 문서들만을 수집한 후 중요문장 추출과정을 통해 해당 문서 내의 핵심어를 파악하여 이를 온톨로지의 개념 인식을 위한 정보로 활용할 수 있는 방안을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.891-894
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• 2021

온톨로지(Ontology)는 사람과 컴퓨터, 또는 컴퓨터 간의 개념 및 개념 표현을 공유하기 위한 개념화의 명시적 규약을 의미한다. 기존의 온톨로지 생성은 전문가에 의한 수작업에 의존되어 비용과 시간이 많이 드는 한계가 있다. 이에 본 논문에서는 딥러닝(Deep learning)기반의 기계번역 개념을 적용한 사례를 활용하여, 수작업의 의존성이 감소한 방법으로 텍스트로부터 온톨로지를 생성하는 방법을 구현하였다. 특히 기존 연구에서 제안한, 딥러닝을 이용해 텍스트로부터 지식 표현 시퀀스를 추출한 정보를 활용하여, 지식 표현 구조를 온톨로지로 변환하고 지식 베이스로 확장하는 과정을 통해 자동화 된 Text-to-Ontology 변환 방법론을 제안하고자 한다.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.7
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• pp.296-303
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• 2007

Color quantization replaces the color of each pixel with the closest representative color, and thus it makes the resulting image partitioned into uniformly-colored regions. As a consequence, continuous, detailed variations of color over the corresponding regions in the original image are lost through color quantization. In this paper. we present a novel blind scheme for restoring such variations from a color-quantized input image without it priori knowledge of the quantization method. Our scheme identifies which pairs of uniformly-colored regions in the input image should have continuous variations of color in the resulting image. Then, such regions are seamlessly stitched through optimization while preserving the closest representative colors. The user can optionally indicate which regions should be separated or stitched by scribbling constraint brushes across the regions. We demonstrate the effectiveness of our approach through diverse examples, such as photographs, cartoons, and artistic illustrations.

• Journal of the Korean Geographical Society
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• v.49 no.3
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• pp.423-437
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• 2014

Districting is a spatial decision making process to make a new regional framework for affecting human activities. Natural barriers such as rivers and mountains located within a reorganized district may reduce the efficiency of reorganized human activities. This implies that it is necessary to consider boundary characteristics in a districting process. The purpose of this research is to develop a new spatial optimization model based on boundary characteristics for districting problems. The boundary characteristics are evaluated as continuous value expressing the possibility of combining adjacent two basic spatial units rather than a dichotomous value with 1 or 0 and are defined as an objective function in the model. In addition, the model has explicitly formulated contiguity constraints as well as constraints enforcing demand balance among districts such as population and area. The boundary attributes are categorized into physical and relational characteristics. Suitability analysis is used to combine various variables related to each boundary characteristic and to evaluate the coupling possibility between two neighboring basic units. The model is applied to an administrative redistricting problem. The analytical results demonstrate that various boundary characteristics could be modeled in terms of mixed integer programming (MIP).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.5
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• pp.995-1001
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• 2005

Implicit Integration has become a standard approach to efficient cloth animation, and it guarantees the stability of the system so that large steps can be used. Therefore, it is regarded as the best method for the real-time or interactive animation of cloth. Since the implicit method was introduced for stable cloth animation, various cloth animation techniques based on the method have been proposed. It is now possible to generate the real-time animation of cloth model with thousands of mass-point in general PC environments. Although the implicit method guarantees the stability, the implementation of the implicit method is generally more difficult than that of the explicit method. Even worse, it is very difficult to parallelize the computation process of the implicit method. The cloth animation with implicit method can be formalized as a linear system solving. In this paper we propose an stable and efficient cloth animation techniques based on the implicit method. The proposed method can be easily parallelized. Self-collision is another important issue in cloth animation, we also propose an efficient self-collision avoidance techniques.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.6
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• pp.559-567
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• 2012

A level set based topological shape optimization method for nonlinear structure considering hyper-elastic problems is developed. To relieve significant convergence difficulty in topology optimization of nonlinear structure due to inaccurate tangent stiffness which comes from material penalization of whole domain, explicit boundary for exact tangent stiffness is used by taking advantage of level set function for arbitrary boundary shape. For given arbitrary boundary which is represented by level set function, a Delaunay triangulation scheme is used for current structure discretization instead of using implicit fixed grid. The required velocity field in the actual domain to update the level set equation is determined from the descent direction of Lagrangian derived from optimality conditions. The velocity field outside the actual domain is determined through a velocity extension scheme based on the method suggested by Adalsteinsson and Sethian(1999). The topological derivatives are incorporated into the level set based framework to enable to create holes whenever and wherever necessary during the optimization.

• International Commerce and Information Review
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• v.13 no.3
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• pp.325-351
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• 2011

This paper is focused on problem in the law and system caused by the infringement of medical information and in the law and system indicate the solution. Interests in the medical service are increasing in internet environment as life quality of the people improves because of development in information and medical technology. The current main issues of the legislative system and the law improvement suggestion for telemedicine activation which is related to the ubiquitous health in which the medicine field and IT technology convergence appearance. In particular, South Korea in the privacy-related legislation should be amended. The reason, Medical information record contains a lot of patient's private secrets. Therefore, if privacy protection is not enough this could cause problem violate a patient's privacy. Thus we need consequently the maintenance of the health medical treatment field to suit a telemedicine environment of a law system. Specifically, this law enacted to protect medical treatment information and the technical security services with confidence and stability against security treats are necessary.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.33-47
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• 2010

The growth of IT technology and the popularity of network based information sharing increase the number of digital contents in military area. Thus, there arise issues of finding suitable public information with the growing number of long-term preservation of digital public information. According to the source of raw data and the time of compilation may be variable and there can be existed in many correlations about digital contents. The business service ontology makes knowledge explicit and allows for knowledge sharing among information provider and information consumer for public digital archive engaged in improving the searching ability of digital public information. The business service ontology is at the interface as a bridge between information provider and information consumer. However, according to the difficulty of semantic knowledge extraction for the business process analysis, it is hard to realize the automation of constructing business service ontology for mapping from unformed activities to a unit of business service. To solve the problem, we propose a new business service auto-acquisition method for the first step of constructing a business service ontology based on Enterprise Architecture.