• The Journal of Society for e-Business Studies
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• v.1 no.1
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• pp.93-116
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• 1996

This study aims to develop an approach to construct IWSDB for National Defense CALS. Along with the introduction of Korean version of CALS conception, it is essential to analyze the national defense system with a new information technology for the construction of IWSDB. A long-tenn goal of CALS is to construct fully Integrated Data Environment (IDE) and establish IWSDB for the application of CALS conception to the life cycle management of weapon system. IWSDB is a set of databases that contain digital data. It supports common interface of data objects and databases throughout the life cycle management of weapon system, including design, engineering, analysis, manufacturing, operation, and logistics. etc. The goal of this study is threefold. First, we propose a right direction for the establishment of Integrated Data Environment. For the integrated database technology, we use the five schema architecture and the distributed object oriented technology that will lead to the "share of data." Second, we present the most effective IWSDB architecture for defense CALS, which will provide the efficient data sharing by business process modeling. Third, we suggest that IWSDB should be constructed based on the process which is related to the acquisition and logistics of weapon system for the national defense, and at the same time it should be implemented with GITIS for government agencies and CITIS for the industries in order to obtain the efficient data sharing.

• Convergence Security Journal
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• v.4 no.3
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• pp.57-82
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• 2004

The confluence of computers, communications, and databases is quickly creating a distributed database where many applications require real-time access to temporally consistent sensor data. We have developed an object-oriented real-time database system called BeeHive to provide a significant improvement in performance and functionality over conventional non-real-time database and object management systems. In this paper, the performance of two data-deadline cognizant scheduling policies EDDF and EDF-DC and the baseline EDF policy with/without admission control are evaluated through extensive experiments on BeeHive. The ranges where data-deadline cognizant scheduling policies are effective and where admission control plays a role are identified.

• Journal of Korea Spatial Information System Society
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• v.1 no.1 s.1
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• pp.5-18
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• 1999

Recently, the necessity of automatic knowledge extraction from spatial data stored in spatial databases has been increased. Spatial data mining can be defined as the extraction of implicit knowledge, spatial relationships, or other knowledge not explicitly stored in spatial databases. In order to extract useful knowledge from spatial data, an object management system that can store spatial data efficiently, provide very fast indexing & searching mechanisms, and support a distributed computing environment is needed. In this paper, we designed and implemented an open object management system for spatial data mining, that supports efficient management of spatial, aspatial, and knowledge data. In order to develop this system, we used Open OODB that is a widely used object management system. However, the lark of facilities for spatial data mining in Open OODB, we extended it to support spatial data type, dynamic class generation, object-oriented inheritance, spatial index, spatial operations, etc. In addition, for further increasement of interoperability with other spatial database management systems or data mining systems, we adopted international standards such as ODMG 2.0 for data modeling, SDTS(Spatial Data Transfer Standard) for modeling and exchanging spatial data, and OpenGIS Simple Features Specification for CORBA for connecting clients and servers efficiently.