• Journal of the Korea Computer Graphics Society
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• v.7 no.1
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• pp.1-9
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• 2001

We present a scheme and a data structure that decompose the space into adaptive-sized cells to improve the visualization of soft objects. Soft objects are visualized through the evaluation of the field functions at every point of the space. According to the propsed scheme, the affecting soft objects for a point in the space is searched through the data structure called interval tree based on the bounding volume of the components, which represent a soft object whose defining primitive(skeleton) is a simple geometric object such as point or line segment. The bounding volume of each component is generated with respect to the radius of a local field function of the component, threshold value, and the relations between the components and other neighboring components. The proposed scheme can be used in many applications for soft objects such as modeling and rendering, especially in interactive modeling process.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.285-290
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• 2018

논지가 높은 설득력을 갖기 위해서는 충분한 지지 근거가 필요하다. 논지 내의 주장을 논리적으로 지지할 수 있는 근거 자료 추출의 자동화는 자동 토론 시스템, 정책 투표에 대한 의사 결정 보조 등 여러 어플리케이션의 개발 및 상용화를 위해 필수적으로 해결되어야 한다. 하지만 웹문서로부터 지지 근거를 추출하는 시스템을 위해서는 다음과 같은 두 가지 연구가 선행되어야 하고, 이는 높은 성능의 시스템 구현을 어렵게 한다: 1) 논지의 주제와 직접적인 관련성은 낮지만 지지 근거로 사용될 수 있는 정보를 확보하기 위한 넓은 검색 범위, 2) 수집한 정보 내에서 논지의 주장을 명확하게 지지할 수 있는 근거를 식별할 수 있는 인지 능력. 본 연구는 높은 정밀도와 확장 가능성을 가진 지지 근거 추출을 위해 다음과 같은 단계적 지지 근거 추출 시스템을 제안한다: 1) TF-IDF 유사도 기반 관련 문서 선별, 2) 의미적 유사도를 통한 지지 근거 1차 추출, 3) 신경망 분류기를 통한 지지 근거 2차 추출. 제안하는 시스템의 유효성을 검증하기 위해 사설 4008개 내의 주장에 대해 웹 상에 있는 845675개의 뉴스에서 지지 근거를 추출하는 실험을 수행하였다. 주장과 지지 근거를 주석한 정보에 대하여 성능 평가를 진행한 결과 본 연구에서 제안한 단계적 시스템은 1,2차 추출 과정에서 각각 0.41, 0.70의 정밀도를 보였다. 이후 시스템이 추출한 지지 근거를 분석하여, 논지에 대한 적절한 이해를 바탕으로 한 지지 근거 추출이 가능하다는 것을 확인하였다.

• Journal of The Korean Association of Information Education
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• v.2 no.2
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• pp.278-285
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• 1998

Computer users frequently request large scale multimedia data such as images. voice, video rather than conventional formal data. Data in virtual fossil museum are represented as points, shape, location in multidimensional space and interrelation with other spatial object. Informations in virtual fossil museum should be maintained to manipulate spatial object and non-spatial object. In this report we propose virtual fossil museum which is consisted of two parts. In the first step, basic system is implemented in internet for non-specialist such as primary students. This system is implemented based on visual multimedia information system so that non-specialist about computer can access easily. In the second step, expert system is designed which allows computer users can store, magnify, reduce, and retrieve the spatial data. This expert system uses animation, spatial query and VRML.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.2
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• pp.165-179
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• 2007

For the purpose of optimum design of reinforced concrete structures, pre-determined section database of column and beam are constructed and arranged in order of the resisting capacity. Then, regression equations representing the relation between section number and section resisting capacity are derived. In advance, effective optimization algorithms which search optimized solution quickly using direct search method from these database are proposed. In practice, from the fact that engineers conduct member design close to capacity optimization rather than cost optimization, both capacity and cost optimization using proposed algorithms are performed, and the review for the obtained results are followed. Moreover, the investigation for the applicability and effectiveness of the Introduced design procedure is conducted through correlation study for example structures. Because of no restriction in constructing objective functions with very simple optimization processes and fast convergence, the introduced method can effectively be used in the preliminary design stage. Especially, selected solutions from database are directly applicable in practice because these sections already satisfy all the requirements in design codes and practical restrictions.

• Journal of the Society of Disaster Information
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• v.11 no.1
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• pp.63-72
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• 2015

This study aims to examine the state of accidents and related issues related to Theme Groups experiential learning experiences of students and suggest ways to improve security measures to prevent future incidents. Case studies of the sunken Sewol ferry and the collapse of the gymnasium at Mauna resort in Gyeongju are conducted by analyzing the existing literature and the data collected from the media sources and related agencies. With a basis on the findings of the analyses, it is suggested that legal foundation and disaster and risk management systems (systematic revision of the laws, raised safety awareness among citizens, production and education of security managers, formation of disaster management organizations, establishment of headquarters in case of emergency and installation of first aid facilities, improved national response system, enforcement of disaster drills, introduction of assessment system, etc.) must be established to contribute to creating a safer society.

• Journal of Internet Computing and Services
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• v.10 no.4
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• pp.189-198
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• 2009

Unstructured peer-to-peer systems are most commonly used in today's internet. But file placement is random in these systems and no correlation exists between peers and their contents. There is no guarantee that flooding queries will find the desired data. In this paper, we propose to cluster nodes in unstructured P2P systems using the agglomerative hierarchical clustering algorithm to improve the search method. We compared the delay time of clustering the nodes between our proposed algorithm and the k-means clustering algorithm. We also simulated the delay time of locating data in a network topology and recorded the overhead of the system using our proposed algorithm, k-means clustering, and without clustering. Simulation results show that the delay time of our proposed algorithm is shorter compared to other methods and resource overhead is also reduced.

• Journal of Information Management
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• v.35 no.2
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• pp.57-85
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• 2004

This is the comparative study about analyzing the methodologies of building ontology with IEEE Standard 1074-1997. The methodologies are chosen to be analyzed. They are OTK, CommanKADS, ONIONS and Noy & McGuinness's Ontology Development 101. On the basis of analyzing, the ontology development process is proposed after the strong points of four methodologies are accepted but the weak points of them are supplemented. The sixth development steps are following: 1) Conducting the feasibility study about ontology building as the pre-development process 2) Setting up the purpose of the ontology development as the starting point of the building 3) Considering the integration of the existing ontologies for the knowledge reuse 4) Constructing the ontology by defining the concepts and relations 5) Evaluating and testing the ontology for the completeness 6) Containing the ontology maintenance for the sustainable use.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.195-217
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• 2007

B2B registries provide spaces to register and retrieve information which is necessary to support B2B transactions among business partners or potential business partners. Business process specifications are one of important contents in B2B registries, and there is high complexity of representation due to complex and dynamic characteristics of business processes. Also, currently there exist several competing specification frameworks such as ebXML BPSS, WSBPEL, BPMN, and so on. This paper proposes a metadata schema to register business process specifications which are represented by different specification frameworks. The proposed schema has extensibility to register business process specifications which are represented by various different specification frameworks. Also, it extends reuse level from whole business specification processes to their components. To show the usefulness of the proposed schema, this paper demonstrates metadata extraction from business process specifications which are represented by two representative XML-based business process specification languages, ebXML BPSS and WSBPEL.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.297-320
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• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.271-273
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• 2006

본 논문에서는 신경망을 이용하여 텍스타일 영상으로부터 인간의 강성을 인식할 수 있는 시스템을 제안한다. 자동감성인식 시스템의 구현을 위해 220장의 텍스타일 영상을 수집한 후, 일반인 20명을 대상으로 설문조사를 실시하였다. 이를 통해 감성과 패턴간의 상관관계, 즉 특정 패턴이 사람의 감성에 영향을 준다는 것을 발견하였다. 따라서 본 연구에서는 영상에 포함된 패턴의 인식을 위해 신경망을 이용하였으며, 이때 패턴 정보의 추출을 위해 두 가지 특징 추출 방법을 사용한다. 첫 번째는 auto-regressive method를 이용한 raw-pixel data extraction scheme (RDES)을 사용하는 것이고, 두 번째는 wavelet transformed data extraction scheme (WTDES)을 사용하는 것이다. 제안된 시스템의 유용성을 증명하기 위해서 실제 100장의 텍스타일 영상에서의 감성을 인식하는데 사용했다. 그 결과 RDES와 WTDES를 사용했을 때 각각 71%와 90%의 인식률로, WTDES를 사용했을 때가 RDES를 사용했을 때보다 더 좋은 성능을 보였다. 데이터 추출방법에 따라 다소 차이가 있었지만 전체적으로 악 81%의 정확도를 보였다. 이러한 실험 결과는 제안된 방법이 감성인식 기반으로 텍스타일 데이터를 검색 할 수 있는 시스템 및 다양한 산업 분야에 응용 가능함을 보여주었다.