• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.333-336
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• 2001

The future industry, intangible assets, like expertise, customer satisfaction, and employee's volition and capability, create more company value than any other components. The company's outcome mostly depends on managing these intangible knowledge assets. Construction industry is trying to adapt knowledge management system to manage their knowledge assets, but Hey do not build up knowledge assets definition and knowledge assets classification as much as other industries do. Most researches related knowledge assets classification are not concentrated on construction industry so it is need to define knowledge assets and establish knowledge assets classification of construction based on construction characteristics and informations. With this research result, construction knowledge assets classification can be the basis of knowledge asscts evaluation and knowledge map for knowledge management system.

• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.1283-1285
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• 2002

This study is developed vehicle information detector using loop and piezo sensors. This study would analyze the over all problems concerning our road conditions, environmental matters and unique features of our traffic matters; moreover, with these it would develope the hardware, software, car classification algorithm applied by artificial intelligence and traffic monitoring program which can be easily fixed. This can be divided into traffic detecting algorithm and car classification algorithm. Especially, we have developed the car classification algorithm used by C-means Fuzzy Clustering method.

• Journal of the Korea Institute of Building Construction
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• v.22 no.5
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• pp.463-471
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• 2022

The construction industry has a structure in which information asymmetry problems are complexly scattered compared to other industries. Since the construction industry classification system serves as a guideline for entering the construction market and can provide as a standard for construction consumers to select a supplier who can provide appropriate services, when judging the operation purpose or purpose of the construction industry registration system, it is very important to set up the system by rationally reviewing it. The purpose of this study is to examine the possibility of improvement in consideration of the risk factors related to the domestic construction industry registration industry classification system. To this end, we will conduct a case study on the construction industry classification system operated by overseas construction industry licenses or registration systems in Japan, the United States, and Australia, and compare it with the domestic industry classification system to derive implications and directions for improvement.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.345-371
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• 2017

Traditionally, the construction industry field is one of the typical fields using facet analysis method. Internationally the facet analysis method is applied to the classification scheme "Uniclass" or thesaurus "Construction Industry Thesaurus(CIT)". In the case of Korea, the facet analysis method is being used in classification scheme "Construction Industry Classification System" but it is difficult to find studies on facet analysis method in thesaurus or building case study. This study aims to establish facet types by introducing building of thesaurus for information retrieval in construction field using facet analysis method and to suggest building plan of thesaurus in construction field using facet analysis method. In this paper, We establish the 11 top facets(agent/patient, artifacts, abstract, material, parts/component, works, attribute, media, process, space, time) and the 13 subfacet as rudimental facets and suggest building plan according to thesaurus building procedure which is suggested by International Standard(ISO 25964-1). The result of this study is expected to apply to facet based thesaurus. And it is also expected to reuse in Taxonomy or Ontology etc. and to use in interoperability with the classification scheme of Construction filed.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.333-335
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• 2015

A computer vision-based scene recognition algorithm is proposed for monitoring construction sites. The system analyzes images acquired from a surveillance camera to separate regions and classify them as building, ground, and hole. Mean shift image segmentation algorithm is tested for separating meaningful regions of construction site images. The system would benefit current monitoring practices in that information extracted from images could embrace an environmental context.

• Journal of the Korean Society for information Management
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• v.14 no.2
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• pp.105-122
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• 1997

A library for the civil engineering field goes on increasing in quantity because of the growth in construction technology and the enlargement in applicable fields of civil engineering. Most of libraries and information centers in construction companies are using Dewey Decimal Classification (DDC) or Korean Decimal Classification (KDC) to classify a library in civil engineering field. It is necessary for the library classification system to be equipped with a more standardized code system, which corresponds to the academical and technical classification for the civil engineering works. This study analyzes the defects of existing classification systems, and then suggests a new classes and divisions classification system, which facilitates to link academic information with technical data, for the civil engineering field. The proposed system is expected to make practical application of information classification system in the construc ion industry and to be applied for the revised edition of KDC.

• Journal of KIBIM
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• v.12 no.1
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• pp.72-80
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• 2022

It has become mandatory to designs by BIM in construction. It is urgent to make accurate decisions through the linkage between complex and various types of data in projects. In particular, block-chain based data sharing process (using BIM files, general construction submitted files) is essential to support reliable decision making in complex data flood systems. Prior to developing data sharing system based on block-chain, in this paper, a data linkage method is proposed so that practitioners can simultaneously utilize existing construction information and BIM data. Examples are shown based on the construction classification system and file expression, and incentive strategies are explored through a survey so that heterogeneous information can be used at the same time in overall projects.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1148-1154
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• 2009

This study focus on the suggestion of application manual using assembling reference plane design & standard finish material basis upon material classification code. We see it will function as a tool of a linkage between building design and construction standarization in order to enlarge the applicability of house building material that is produced by the module plan. For a estabilishing of this condition, it is neccessary to link the standardization's result of material--design--construction field. According to this neccessity, we are going to suggest information factor that can make relative business manager easily approach to the standardization practical task.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.5-23
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• 2014

This study reports the first step in the Classification-based Search and Knowledge Discovery (CSKD) project, which aims to combine information organization and retrieval approaches for building digital library applications. In this study, we explored the generation and application of a faceted vocabulary as a potential mechanism to enhance knowledge discovery. The faceted vocabulary construction process revealed some heuristics that can be refined in follow-up studies to further automate the creation of faceted classification structure, while our concept search application demonstrated the utility and potential of integrating classification-based approach with retrieval-based approach. Integration of text- and classification-based methods as outlined in this paper combines the strengths of two vastly different approaches to information discovery by constructing and utilizing a flexible information organization scheme from an existing classification structure.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.7-27
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• 2014

Constructions and Architecture fields were divided into Architecture engineering and Architecture in the 5th edition of Korean Decimal Classification (KDC), but those were combined in the 6th edition of KDC published in 2013. The purposes of this study are to find problems and to suggest modifications through comparing and analyzing the 5th and the 6th editions of KDC, Dewey Decimal Classification, Nippon Decimal Classification and Universal Decimal Classification. The necessity of reclassification, a long classification number for History of Architecture and addition of categories of traditional building and architectural engineering are required to improve the 6th edition of KDC and the improvements and modifications of those problems are suggested.