• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.33-39
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• 2012

Since the passing of the Personal Information Act in March 2011 and its initial introduction in September, over the one year to date diverse security devices and solutions have been flowing into the market to enable observance of the relevant laws. Beginning with security consulting, corporations and institutions have focused on technology-based business in order to enable observance of those laws competitively in accordance with 6-step key procedures including proposal, materialization, introduction, construction, implementation, and execution. However there has not been any investment in human resources in the field of education such as technology education and policy education relative to the most important human resources field nor investment in professionals in the organization for the protection of personal information or in human resources for operating and managing IT infrastructure for actual entire personal information such as special sub-organizations. In this situation, as one process of attracting change from the nature of the technology-based security market toward a professional human resource-based security infrastructure market, it is necessary to conduct research into standardization modeling concerning special organizational composition and a management system for the protection of personal information.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.345-346
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• 2023

As the shape and size of detectable objects diversifying recognition and segmentation algorithms have been developed to acquire accurate shape information. Although a high density of data captured by the repetition of scanning improves the accuracy of algorithms the high dense data decreases the efficiency due to its large size. This paper proposes standardization algorithms using the feature of structural members on indoor point cloud data to improve the process. First of all we determine the reduction rate of the density based on the features of the target objects then the data reduction algorithm compresses the data based on the reduction rate. Second the data arrangement algorithm rotates the data until the normal vector of data is aligned along the coordinate axis to allow the following algorithms to operate properly. Final the data arrangement algorithm separates the rotated data into their leaning axis. This allows reverse engineering of indoor point clouds to obtain the efficiency and accuracy of refinement processes.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4056-4066
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• 2015

For understanding of terminology related to u-Health and activating u-Health industry, it is required to develop u-Health standard terminology for communication. The purpose of this study is to develop u-Health standard terminology and provides guidelines for terminology standardization in order to develop the u-Health standard terminology. We finally developed the 187 u-Health standard terminology through the process of data acquisition, term extraction, term refinement, term selection and term management based on reports, glossary and Telecommunications Technology Association (TTA) standards about u-Health. As a result, the standard terminology and guidelines of u-Health optimized to the domestic environment were suggested. They included details of definition, classification, components, the methods and principles of the process for u-Health standard terminology. Presented in this study, u-Health standard terminology and guidelines for terminology standardization would assist the cost-reducing of employing terminology and management of it, while making information transfer easy. This would make possible promoting efficient development of u-Health industry in general.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.1
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• pp.89-97
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• 2003

This study is aimed at standardizing the process of spatial database construction and developing a software tool for process management. Knowhow of five GIS firms and provisions of NGI(National Geography Institute) was analyzed. In this study, the process of spatial database construction was standardized. The system from this study has the capability to manage the process of construction database using GIS and to deal with the metadata of unit map, generated from the process, systematically and continuously. The process was also shown by using either Gantt chart or PERT chart after developing an interface for "MS Project". A software "Visual Basic for Application" was used for this study.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• v.11 no.2
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• pp.245-249
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.181-182
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• 2006

• Vacuum Magazine
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• v.2 no.3
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• pp.4-10
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• 2015

We developed a real-time three-polarizer spectroscopic ellipsometer based on a new data acquisition algorithm and a general data reduction (the process of extracting the ellipsometric sample parameters from the Fourier coefficients). The data acquisition algorithm measures Fourier coefficients of radiant flux waveform accurately and precisely. The general data reduction is introduced to represent the analytic functions of the standard uncertainties of the ellipsometric sample parameters, and the extracted theoretical values closely agree with the corresponding experimental data. Our approach can be used for optimization of measurement conditions, instrumentation, simulation, standardization, laboratory accreditation, and metrology.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.704-706
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• 1991

In CAD/CAM system, many efforts are made to automate the converting process from drawling information to manufacturing Information. The most difficult step In this procedure is utilizing 2 dimensional drawing information In order to formulate 3 dimensional w&ling information. This paper emphasizes to mWe automatically series of convertirg steps which provide 3 dimensional wire frame, surface and solid modeling using feature recognition rules. With the standardization of design process and the recognition rule as preceding steps, it shows a good application tool to interface the design and manufacturing procedures in PC-Level CAD/CAM system.