• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.11 no.2
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• pp.126-134
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• 2001

Statistical approaches for analysis of data from the limited number of samples in ship building industry(SBI) collected by an industrial hygienist for checking compliance to an occupational standard were considered. Sampling for compliance usually has been guided by judgment selection, rather than true randomness, resulting in the creation of compliance samples which approximate a censored sample from the upper tail of the exposure distribution. Similar exposure groups(SEGs) including welding and painting process were established to assess representative values in each groups after reviewing the whole production line in SBI. For the convenient statistical approaches, the code has assigned to each SEGs. The descriptive statistics and probability plotting were used to yield the representative values in each SEGs. In the first step, SEGs of 558 were established from 5 ship building companies. The 38 SEGs showed the uncertainty are divided into each 5 companies and assessed the representative values again. The 44 SEGs in each companies was not showed the normal and lognormal distribution was analyzed each data. And also, recommendation was suggested to resolve the uncertainty in each groups.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.57-77
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• 2004

The main purpose of this study is to develop XML schemata and related STEP model for sharing construction drawings information. To achieve this purpose, the authors have developed a drawing information model based on STEP/AP202, the data searching mechanism based on STEP, and XML schemata for sharing and exchanging information between vector data and non-shape attribute information. Finally, the authors have suggested the way of sharing drawing information through linked STEP data and a XML schema using test cases of construction material information and code checking. The study shows a way of optimized managing and sharing construction information through the drawing information and external data for the whole building life-cycle, from early design stage to the construction stage.

• Journal of the Korean housing association
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• v.21 no.3
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• pp.95-104
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• 2010

The purpose of this study was to found that the important design reform points for improvement of the public open space quality. For this purpose, surveyed the users of the public open space and the experts working for the public open space planning for the design elements of the public open spaces in terms of importance and satisfaction. The scope of the study was limited to Mapo-gu, Seoul and the buildings constructed since 1992 were sampled. the data collected were subject to Importance-Performance Analysis. As a result, 'waste boxes, vending machines and other amenities', 'characteristic floor and pedestrian environment', 'designs and their layout in harmony with the surrounding and landscape facilities', 'facilities checking and patrol for safety' and 'entire area of the public open space'. Based on the above findings, the following reform measures are put forwards for improvement of the public open space quality; First, the public open spaces should be equipped with sufficient amenities. Second, it is necessary to check the facilities regularly, while enhancing the safety through patrols. Third, it is essential to reflect user's needs in public open space planning, while applying the important design elements to the public facilities. Fourth, in order to create a comfortable pedestrian environment within the public open space, it is deemed necessary to divide the space into the passages for passers-by and the recesses for uses. Fifth, it is necessary to amend the Building Code to the effects that the radio of the landscaped area to the entire area can be readjusted together with the night lighting facilities. Sixth, it is desirable to give the weights to the important design elements for the public open spaces, so that the quality public open spaces can benefit from the incentives. In addition, regular maintenance and management should be ensured by policies.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.1-9
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• 2012

As contemporary building construction type is getting higher and deeper, construction equipment usage is getting more, and related fatal accidents are on an increasing trend. Because of this, a method was drawn which could grasp the present state of construction equipment management and manage safety of the equipment more easily for accident prevention by choosing 2 kinds of Construction equipment which cause safety accident frequently among the equipment mainly used in construction site. This study suggested a method about construction equipment safety management using "smart phone" base which could be used in safety management for construction equipment by whomever in construction site. After attachment of QR code included safety checklist, It became possible that site managers could check more efficiently by scanning with their smart phone when they inspect equipment. Moreover, by the construction interested who didn't know what and how they have to inspect could point out unsafe condition in the early stage of equipment entering or take unsafe one out of the site by using new smart phone safety checking system is installed, it became possible that critical accident caused by construction equipment was prevented in advance.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.45-55
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• 2022

BIM models allow building spaces to be instantiated and recognized as unique objects independently of model elements. These instantiated spaces provide the required semantics that can be leveraged for building code checking, energy analysis, and evacuation route analysis. However, theses spaces or rooms need to be designated manually, which in practice, lead to errors and omissions. Thus, most BIM models today does not guarantee the semantic integrity of space designations, limiting their potential applicability. Recent studies have explored ways to automate space allocation in BIM models using artificial intelligence algorithms, but they are limited in their scope and relatively low classification accuracy. This study explored the use of Graph Convolutional Networks, an algorithm exclusively tailored for graph data structures. The goal was to utilize not only geometry information but also the semantic relational data between spaces and elements in the BIM model. Results of the study confirmed that the accuracy was improved by about 8% compared to algorithms that only used geometric distinctions of the individual spaces.