• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.399-408
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• 2002

Component technology was proposed and applied to software development to overcome software crisis. Software component is a black box like an integrated circuit in hardware but it can not be utilized without good support specially for helping users understand efficiently. This paper shows that data book format for understanding hardware component can be well applied to representing software component. We selected an approach to understand component by matching the contents of data book with UML and API model technique. Besides, we added the architecture part and the interface which are the most important property of software component to the data book for software components. In order to verify effectiveness of components data book we extended batch descriptor in EJB and performed an experiment providing data book to programmers with components.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.520-522
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• 2004

UDDI(Universal Description, Discovery, and Integration) 레지스트리(Registry)는 클라이언트가 각종 정보들을 생성, 저장, 검색할 수 있는 XML 기반의 자료저장 장치이다. XML 기반의 저장 장치이므로 개발언어 및 실행 플랫폼과는 상관없이 데이터 교환이 자유롭다. UDDI는 특정한 웹 서비스 시스템에 대한 정보를 체계적으로 분류하여 제공한다. 하지만, UDDI에서는 아직 컴포넌트에 대한 정보를 제공하는 부분에는 부족한 점이 있다. 컴포넌트의 재사용성이 증가됨에 따라 웹 기반의 컴포넌트 저장소를 구축하여 재사용 컴포넌트를 제공하는 사이트들이 늘어가는 추세이다. 이에 따라 UDDI 레지스트리와 웹 기반의 컴포넌트 저장소를 연계함으로써 불필요한 컴포넌트들에 대한 정보를 줄이고, 분산된 컴포넌트 저장소에서 컴포넌트에 대한 정보를 데이터 북 형태로 정보를 제공하여 웹서비스를 이용하여 빠른 기간에 응용 시스템을 개발할 수 있다. 본 논문에서는 UDDI 레지스트리의 특징을 살려 웹 기반의 컴포넌트 저장소에서 제공하는 데이터 북 형태의 컴포넌트 정보 제공 서비스를 연계함으로써 UDDI 레지스트리와 웹 기반의 컴포넌트 저장소의 단점들을 보완하는 해결책을 제시하고 실험하였다.

• Journal of Korea Spatial Information System Society
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• v.12 no.1
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• pp.57-65
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• 2010

In this study, disaster damage investigation system was developed using high resolution satellite images and GIS technique to afford effective damage investigation system for widely disaster damaged area. Study area was selected in Bonghwa, Gyungsangbukdo where high magnitude of damages from torrential rain has occurred at July in 2008. GIS DB was built using 1:5,000 topographic map, cadastral map, satellite image and aerial photo to apply for investigation algorithm. Disaster damage investigation system was developed using VB NET languages, ArcObject component and MS-SQL DBMS for effective management of damage informations. The system can finding damaged area comparing pre- and post-disaster images and drawing damaged area according to the damage item unit. Extracted object was saved in Shape file format and overlayed with background GIS DB for obtaining detail information of damaged area. Disaster damage investigation system using high resolution spatial images can extract damage information rapidly and highly reliably for widely disaster areas. This system can be expected to highly contributing to enhance the disaster prevention capabilities in national level field investigation supporting and establishing recovery plan etc. This system can be utilized at the plan of disaster prevention through digital damage information and linked in national disaster information management system. Further studies are needed to better improvement in system and cover for the linkage of damage information with digital disaster registry.