• International Journal of High-Rise Buildings
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• v.12 no.4
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• pp.287-297
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• 2023

This paper briefly discusses current issues in wind engineering, including the enhancement of aerodynamic database and AI-assisted design, aerodynamic characteristics of tall buildings with atypical building shapes, application of computation fluid dynamics to wind engineering, evaluation of aerodynamic force coefficients based on a probabilistic method, estimation of tornadic wind speed (JEF scale) and effect of the Ekman Spiral on tall buildings.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.16 no.3
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• pp.1-6
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• 2002

The purpose of this study was to develop an exterior lighting design database system for building lighting design. This database system has been designed to work internet web service as a design tool for architect and architecture student who are not profession of lighting design. In this study, exterior lighting database system has been accumulated with rendering image of each building from and lighting projector placement.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1993.04a
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• pp.71-78
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• 1993

This study serves as a part for the development of an integrated structural design system. Efficient data management is essential in engineering computer applications where the volume of data is large and the data flow and sharing are required. From a viewpoint of computer application, building structures can be considered to be a mass ofdata. The centralized database(CDB) and database management system frees the application from the details of managing data storage and retrieval while providing a common pool of information. For this, systematic information analysis and modeling have to be preceded. In this paper we described the result of database modeling of building structure.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.21-22
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• 2015

This study aims to develop a current building condition database of an important folk culture village of South Korea considering their fire spread risk. We have selected a folk cultral village, and conducted field survey to reveal structure of buildings, materials of building wall, and roof style which make us understand current vulnerability of the village to fire spread. As a result, we made a current building condition database with map, which showed that the village had mixture of reinforced concrete and wood. Besides, we proposed a conceptual idea to prevent from large fire accident in the village.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.301-302
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• 2012

Recently, high-rise building projects have been in the spotlight in South Korea. Curtain wall construction, as one of important operations in the high-rise building projects is composed of various, entangled and complex unit processes that require a systematic planning to prevent unexpected delays. A schedule simulation technique has been used for deriving more efficient planning and accurate performance measurement. However, the simulation technique has difficulty in collecting actual data and in applying data fluctuations during construction. Thus, this paper suggests a concept model of Modular Simulation Model(MSM) that overcomes such limitations of traditional simulation technique based on curtain wall operations.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.13-34
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• 1999

Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

• Korean Journal of Computational Design and Engineering
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• v.21 no.3
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• pp.325-333
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• 2016

This paper aims to classify objects and their properties represented in Korea Building Act sentences for applying to BIM-enabled automated code compliance checking task. In order to conduct automated code compliance checking, it is necessary to develop translation process of converting the building act sentences into computer-executable forms. However, since Korea building act sentences are written in natural language, some of requirements are ambiguous to translate explicitly. In this regard, the building act sentences regarding building permit requirements are analyzed focusing on the regulation-specific objects and related properties representation from noun phrases within the scope of this paper. From 1977 building act sentences and attached reference regulations, 1200 regulation-specific objects and about 220 related properties are extracted and classified. In the application for the classification, object-property database is implemented and some of application using the database and the regulation-specific classification is suggested to support to generate rule set written in computable codes.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.495-498
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• 2006

Domestic information service authority and company provide database services to introduce the newest scientific and technological information, trend, and research data. Among many databases, FSTA((Food Science and Technology Abstracts)) is a bibliographic database providing worldwide coverage of all scientific and technological aspects of the processing and manufacturing of human food products. To service FSTA database through KRISTAL search engine developed by KISTI(Korea Institute of Science and Technology Information) need many process such as data obtainment, building, search, modification, rebuilding, and statistics. In this paper, we present implementation of management tool used to build FSTA database effectively. The management tool provides graphical user interface and controls all process from data obtainment to building of KRISTAL information searching system. By building FSTA database fast and accurately, user can get information that they want to find from the newest FSTA database.

• ETRI Journal
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• v.39 no.1
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• pp.97-107
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• 2017

A fast and accurate building-level visual place recognition method built on an image-retrieval scheme using street-view images is proposed. Reference images generated from street-view images usually depict multiple buildings and confusing regions, such as roads, sky, and vehicles, which degrades retrieval accuracy and causes matching ambiguity. The proposed practical database refinement method uses informative reference image and keypoint selection. For database refinement, the method uses a spatial layout of the buildings in the reference image, specifically a building-identification mask image, which is obtained from a prebuilt three-dimensional model of the site. A global-positioning-system-aware retrieval structure is incorporated in it. To evaluate the method, we constructed a dataset over an area of $0.26km^2$. It was comprised of 38,700 reference images and corresponding building-identification mask images. The proposed method removed 25% of the database images using informative reference image selection. It achieved 85.6% recall of the top five candidates in 1.25 s of full processing. The method thus achieved high accuracy at a low computational complexity.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.1
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• pp.249-255
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• 2021

The Korea Democracy Foundation's archives offer its collection of records about Korean democratization movements through "Open-Archives," allowing users to read and use them conveniently. One particular article aimed to promote an overall understanding of its photo database to offer more promising services through the "Open-Archives." Similarly, many different archives hold photographic records, but they have difficulty releasing them to the public. Therefore, the present study introduced the case of Korea Democracy Foundation's project of building a photo database for Tony Chung in 2019-2020 to improve its establishment process, significance, and future tasks.