• 정보관리학회지
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• 제26권2호
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• pp.195-210
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• 2009

이 연구에서는 한국의 과학 기술 중심 대학의 연구 영역 분석을 통해 과학 기술 분야의 지식 구조를 파악하고자 하였다. 해당 대학 교수들이 일정 기간 출판한 논문을 수집하여 분석에 이용하였고, 전체 대학과 학과의 두 수준에서 지식 구조를 파악하였다. 분석 기법으로는 논문에서 인용한 학술지의 주제 범주에 대한 동시인용 분석을 통해 주제들의 연관성을 다차원 지도상에 표현하였고, 사회연결망 분석에서 사용하는 중앙성 척도를 사용하여 관련 주제들의 위치를 파악하였다. 분석 결과 다학문적 성격을 띠는 주제와 생물학 관련 주제들이 전체 과학 기술 분야 및 화학과 물리학 영역의 지식 구조에서 중요한 역할을 하는 것으로 파악되었다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.410-420
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• 2001

A primitive conceptualization is defined as the set of all intended situations. A non-primitive conceptualization is defined as the set of all the pairs every of which consists of an intended knowledge system and the set of all the situations admitted by the knowledge system. The reality of a domain is considered as the set of all the situation which have ever taken place in the past, are taking place now and will take place in the future. A conceptualization is defined as precise if the set of intended situations is equal to the domain reality. The representation of various elements of a domain ontology in a model of the ontology is considered. These elements are terms for situation description and situations themselves, terms for knowledge description and knowledge systems themselves, mathematical terms and constructions, auxiliary terms and ontological agreements. It has been shown that any ontology representing a conceptualization has to be non-primitive if either (1) a conceptualization contains intended situations of different structures, or (2) a conceptualization contains concepts designated by terms for knowledge description, or (3) a conceptualization contains concept classes and determines properties of the concepts belonging to these classes, but the concepts themselves are introduced by domain knowledge, or (4) some restrictions on meanings of terms for situation description in a conceptualization depend on the meaning of terms for knowledge description.

• 한국과학교육학회지
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• 제15권2호
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• pp.185-193
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• 1995

The purpose of this article is to find out psychological mechanism on the core of misconceptions. Theoretical frame to search for the core of misconceptions is based on the Pascual-Leone's neo Piagetian theory. Although Pascual-Leone's theory is a cognitive developmental theory, its psychological mechanism gives us new insights on misconception. According to the comparison between Pascual-Leone's psychological mechanism and the common specifics of misconceptions and their items, conclusions could be summarized as follows: 1) Children's misconceptions and LC learning structures have the same nature. 2) Structures in items of misconceptions and misleading factor structures in cognitive tasks affect mental process with the same mechanism. 3) LC learning structures was activated preferentially in knowledge structures by F operator, with the same activation mechanism, the process children's misconceptions was activated firstly among other conceptions could be explained.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
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• pp.657-659
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• 2000

The importance of total management for maritime structures (Ports, Piers, docks. marine bridges, marine roads, submarine pipelines, etc.) is more and more increasing in these days. Especially, in spite of the marine structures are exposed at the various corrosion circumstances, there are not only a standard of Cathodic Protection System but also knowledge of importance for necessity of corrosion monitoring. Therefore, this paper presents the results of development for the Remote Real-Time Corrosion Monitoring and Control System Using by TRS on Maritime Metallic Structures which can be prevents a big accident by corrosion.

• 한국공간구조학회논문집
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• 제3권2호
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• pp.101-107
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• 2003

There exists a structural problem for link structures in the unstable state. The primary characteristics of this problem are in the existence of rigid body displacements without strain, and in the possibility of the introduction of prestressing to change an unstable state into a stable state. When we make local linearized incremental equations in order to obtain knowledge about these unstable structures, the determinant of the coefficient matrices is zero, so that we face a numerically unstable situation. This is similar to the situation in the stability problem. To avoid such a difficult situation, in this paper a simple and straightforward method was presented by means of the generalized inverse for the numerical analysis of stability problem.

• 한국공간구조학회논문집
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• 제19권1호
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• pp.93-100
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• 2019

There has been considerable recent interest in deep learning techniques for structural analysis and design. However, despite newer algorithms and more precise methods have been developed in the field of computer science, the recent effective deep learning techniques have not been applied to the damage detection topics. In this study, we have explored the structural damage detection method of truss structures using the state-of-the-art deep learning techniques. The deep neural networks are used to train knowledge of the patterns in the response of the undamaged and the damaged structures. A 31-bar planar truss are considered to show the capabilities of the deep learning techniques for identifying the single or multiple-structural damage. The frequency responses and the elasticity moduli of individual elements are used as input and output datasets, respectively. In all considered cases, the neural network can assess damage conditions with very good accuracy.

• 한국공간구조학회논문집
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• 제3권1호
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• pp.87-97
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• 2003

The structural system that discreterized from continuous shells is frequently used to make a large space structures. As well these structures show the unstable phenomena when a load level over the limit load, and snap-through and bifurcation are most well known of it. For the collapse mechanism, rise-span ratio, element stiffness and load mode are main factor, which it give an effect to unstable behavior. In our real situation, most structures have semi-rigid joint that has middle characteristic between pin and rigid joint. So the knowledge of semi-rigid joint is very important problem of stable large space structure. And the instability phenemena of framed space structures show a strong non-linearity and very sensitive behavior according to the joint rigidity For this reason In this study, we are investigating to unstable problem of framed structure with semi-rigidity and to grasp the nonlinear instability behavior that make the fundamental collapse mechanism of the large space frame structures with semi-rigid joint, by proposed the numerical analysis method. Using the incremental stiffness matrix in chapter 2, we study instability of space structures.

• 인지과학
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• 제2권2호
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• pp.359-403
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• 1990

컴퓨터의 눈이라고 불리우는 감지 장치를 통하여 얻어진 항공 사진에 관한 영상을 분할하고, 이런 초기자료를 바탕으로 영상을 해석하여 건물 및 도로에 관한 정보를 추출하는 흑판 시스템을 소개한다. 흑판 시스템의 구성요소인 흑판, 지식원, 제어 모듈의 기능및 역할이 지식 표현과 제어 전략 측면에서 설명된다. 프레임 형태를 취하는 흑판위의 가설들의 계층적 구조와 가설 생성및 검증을 담당하는 지식원의 구조에 대하여 소개하고, 이들 지식원을 운영하여 원하는 해를 구해가는 제어 전략에 대하여 상세히 소개한다. 특히, 영상자료의 탐색 영역을 제한하기 위한 매핑 영상의 활용 방법에 대하여 소개한다.

• 한국농공학회:학술대회논문집
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• 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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• pp.245-251
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• 1999

In this study, by using the natural language processing of the field artificial intelligence, automated index was performed . And then, the Natural Language Processor for Constructing Database (NALPDB) has been developed. Furthermore, the Design knowldege Information Relational DataBase (DIREDB) has been also developed, which is designed to interlock the knowledge base. DIREDB processes both the documented design-data , like a concrete standard specification, and the design knowledge frrom an expert. DIREDB is also simulates the design space of structures accordance with the production rule, and thus it is determined that DIREDB can be used as a engine to retrieve new knowledge and to implement knowldege base that is necessary to the development of automatic design system.

• 전산구조공학
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• 제9권2호
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• pp.163-171
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• 1996

구조물 모니터링 시스템의 전산환경을 구성하기 위해 필요한 지식 및 정보를 파악하고 이를 지식기반화하는 방법을 제시하였다. 전산환경의 구축을 위한 정보로는 센서 및 하드웨어, 신호처리, 그리고 손상발견/평가를 위한 지식등이 필요한데, 이들은 모두 다른 형태의 지식이므로, -즉 수학연산, 서술적 지식, 수치모델등- 어느 특정의 모델링 기법 단독으로는 이들을 효과적으로 수용하기가 매우 어렵다. 이를 해결하기 위하여 객체지향적 모델링기법과 논리언어를 혼합사용하는 방법 (Hybrid Modeling Paradigm)이 제시되었고, 이의 타당성 및 효율성 검증을 위해 모델구조물을 이용한 예제를 수행하였다.