• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.825-829
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• 1993

As a part of the Department of Energy's Environmental Restoration and Waste Management Program, long-reach manipulators are being considered for the retrieval of waste from large storage tanks. Long-reach manipulators may have characteristics significantly different from those of typical industrial robots because of the flexibility of long links needed to cover the large workspace. To avoid structural vibrations during operation, control algorithms employing various types of shaping filters were investigated. A new approach that uses imbedded simulation was developed and compared with others. In the new approach, generation of joint trajectories considering link flexibility was also investigated.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.355-361
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• 2006

It has lately been recognized that the sharing and exchanging of the research results information is the critical factor to improve the research productivity. So many institutions are planning or developing the information systems which provide the research information services for researcher. But it has very difficulty in integrating the research resources information due to the dispersion and heterogeneity in data sources, and semantic and structural difference in describing data. We propose the semantic web based methodology and conceptual framework for raising the interoperability of metadata about research results information, which will support the integration of the distributed research data for information services in the end. Finally we proposed the conceptual architecture of research information service system which shows the main components, the functional requirements, and the principal and design direction at implementing the system.

• Asia pacific journal of information systems
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• v.9 no.2
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• pp.19-37
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• 1999

Computer aided process planning(CAPP) is a key for implementing CIM. It is bridge between CAD and CAM and translates the design information into manufacturing instructions. Generally, manufacturing is an area where intelligent systems will not be able to rely on methods requiring formalized knowledge. Manufacturing lacks a body of knowledge that is specific, formalized, and rigorous, and which can be coded as rules or procedures. Thus expertise in manufacturing is developed over a period of many years. Case-based reasoning(CBR) offers a new approach for developing intelligent system. In the case-based approach the problem solving experience of the experts is encoded in the form of cases. CBR's retrieval process can be divided to two step. The first step is matching step, and the second step is selection step. For selecting base case, new preference heuristics were introduced using similarity concept. Similarity concept has three has three dimensions, i.e. entity similarity, structural similarity, and goal similarity. In this paper, bolt's process planning was selected an application domain. Following the test result, the new preference heuristics were approved as a useful procedure in CAPP.

• Journal of Korea Multimedia Society
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• v.8 no.5
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• pp.596-605
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• 2005

Conventional XML query methods such as simple keyword match or structural query expansion are not sufficient to catch the underlying information in the documents. Moreover, these methods inefficiently try to query all the documents. This paper proposes document tittering and query expansion methods that are based on ontology. Using ontology, we construct a universal DTD that can filter off unnecessary documents. Then, query expansion method is developed through the analysis of concept hierarchy and association among concepts. The proposed methods are applied on variety of sample XML documents to test the effectiveness.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.271-286
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• 2008

The core of the semantic web is ontology, which supports interoperability among semantic web applications and enables developer to reuse and share domain knowledge. It used a variety of fields such as Information Retrieval, E-commerce, Software Engineering, Artificial Intelligence and Bio-informatics. However, the reality is that various errors might be included in conceptual hierarchy when developing ontologies. Therefore, methodologies and supporting tools are essential to help the developer construct suitable ontologies for the given purposes and to detect and analyze errors in order to verify the inconsistency in the ontologies. In this paper we propose a new approach for ontology error detection based on the Concept Lattices of Formal Concept Analysis. By using the tool that we developed in this research, we can extract core elements from the source code of Ontology and then detect some structural errors based on the concept lattices. The results of this research can be helpful for ontology engineers to support error detection and construction of "well-defined" and "good" ontologies.

• The Journal of the Korea Contents Association
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• v.2 no.3
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• pp.87-95
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• 2002

This study proposes method to classify components in repository and retrieve them introducing the idea of domain orientation for successful reuse of components. About components of existing systems design pattern was applied to, us suggest component classification method to compare structural similarity between each component in relevant domain and criterion pattern. Component reusability and portability between platforms can be increased through classifying reusable components by function and giving their structures with diagram. Efficiency of component reuse can be raised because the most appropriate component to query and similar candidate components and provided in priority by use of E-SARM algorithm.

• Structural Engineering and Mechanics
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• v.12 no.3
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• pp.297-312
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• 2001

The accurate finite element (FE) simulation of reinforced concrete (RC) slabs, having different boundary conditions and subjected to uniformly distributed loading, has led to the use of the developed FE models for generating results of ultimate loads from predictions of 'computer-model' RC slabs having different material and geometric properties. Equations derived from these results constitute the primary database of an intelligent computer-aided-design (CAD) system developed for accurate and fast information retrieval on arbitrary slabs. The system is capable of generating a secondary database through systems of interpolation and can be used for design assistance purposes.

• The Magazine of the IEIE
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• v.39 no.2
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• pp.45-54
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• 2012

Object detection is a fundamental task for many high-level computer vision applications such as image retrieval, scene understanding, activity recognition, visual surveillance and many others. Although object detection is one of the most popular problems in computer vision and various algorithms have been proposed thus far, it is also notoriously difficult, mainly due to lack of proper models for object representation, that handle large variations of object structure and appearance. In this article, we review a branch of object detection algorithms based on Support Vector Machines (SVMs), a well-known max-margin technique to minimize classification error. We introduce a few variations of SVMs-Structural SVMs and Latent SVMs-and discuss their applications to object detection and localization.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.584-586
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• 2003

XML 문서의 검색을 위한 많은 연구들이 수행되고 있지만 순수하게 구조적 관계성만을 대상으로 하는 검색 즉, 구조적 검색 처리 기법에 대해서는 많이 다루지 않고 있거나 XML 문서 트리에 대한 반복적인 순회를 기반으로 처리하는 방법들이 제안되었다. 또한, 사용자가 원하지 않는 엘리먼트들을 제외하기 위해서는 부가적인 필터링 과정을 필요로 한다. 한편, 대부분의 XML 문서의 검색 관련 연구들은 엘리먼트의 삽입 또는 삭제 등 XML 문서의 부분적인 갱신 및 변경이 발생하는 환경을 고려하지 않고 있다. 본 논문에서는 사용자로부터 주어지는 질의에 포함된 엘리먼트 타입 정보 이용하여 XML 문서 트리에 대한 순회를 없애거나 최소화시키고, 필터링 과정도 필요로 하지 않는 구조적 검색 기법을 설계한다. 또한, 엘리먼트의 삭제 및 삽입 등 동적인 변경에 빠르고 유연하게 대처할 수 있는 인덱스 구조를 설계하고 이를 기반으로 구조적 검색 질의의 주요 유형에 대한 처리 방안을 예를 들어 설명한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1403-1406
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• 2003

XML이 가지는 다양한 장점을 이용하기 위해, 음악을 XML로 표현하려는 다양한 연구가 계속되고 있다. 그러나, SMDL, MNML, MusicXML과 같은 기존의 연구는 악보상의 정보를 그대로 표현하거나, 전자 음악의 표준인 MIDI 포맷과의 상호교환성을 중심으로 연구되어 왔기 때문에 음악에 대해 구조-내용 기반 복합 검색을 하기에는 부적합하다. 이를 해결하기 위해 본 논문에서는 음악의 대표 선율을 이용한 구조-내용 기반 복합 검색을 위한 XML 스키마를 제안한다. 먼저, 본 논문에서는 사용자가 질의할 가능성이 높은 첫 동기, 절정, 일정 유사도 내에서 반복되는 주제 선율을 해당 음악을 대표하는 선율로서 XML 스키마에 표현하였다. 제안한 XML 스키마에 대해 XML 질의 언어를 이용하여 구조-내용 기반 복합 검색시 전체 선율을 검색하지 않고 대표 선율만을 검색하여 사용자의 응답 시간을 빠르게 할 수 있다.