• The Korean Journal of Applied Statistics
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• v.12 no.2
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• pp.375-385
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• 1999

본 연구에서는 노동력수요동향조사를 위한 새로운 표본설계를 제시하였다. 새로운 표본설계에서는 전국 통계를 산출하기 위한 전국표본과 지역 특성에 맞는 고용정책 및 직업 훈련 계획 수립 등을 위한 지역통계의 수요에 따라 16개 시·도별, 규모별, 산업대분류별로 오차를 관리할 수 있는 지역표본으로 이원화하여 설계하였으며, 규모별, 산업대분류별로 오차를 관리하는 현행 표본조사의 상대표준오차를 검토하여 규모별, 산업중분류별로 합리적인 오차 관리가 가능하도록 설계하였다.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.511-544
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• 2016

Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.702-708
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• 2018

3D printing technology is attracting increasing attention as a key technology of the fourth industrial revolution that can change the production paradigm of existing industries. The introduction of construction 3D printing technology has been slower than other industries because of the characteristics of the construction field. On the other hand construction automation using 3D printing is required to reduce the production population, as well as improve productivity and safety. In this study, a construction 3D printing work breakdown structure and link method to a standard estimation system were developed as a preliminary preparation for introducing 3D printing to construction. Based on expert consultation on construction and 3D printing, a hypothetical scenario was developed based on existing construction 3D printing technology. According to the scenario, 16 kinds of works required for 3D printing construction work were derived. The existing work breakdown structure and standard estimation system were analyzed, and the 3D printing work was linked. 3D printing works that were the same as the existing breakdown structure were found, and non-existent works were added to the similar breakdown structure. These results are expected to be helpful for future 3D printing construction management and cost estimation. The actual standard estimation system through 3D printing work will need to be calculated.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.221-241
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• 2018

As we enter the knowledge society, the importance of information as a new form of capital is being emphasized. The importance of information classification is also increasing for efficient management of digital information produced exponentially. In this study, we tried to automatically classify and provide tailored information that can help companies decide to make technology commercialization. Therefore, we propose a method to classify information based on Korea Standard Industry Classification (KSIC), which indicates the business characteristics of enterprises. The classification of information or documents has been largely based on machine learning, but there is not enough training data categorized on the basis of KSIC. Therefore, this study applied the method of calculating similarity between documents. Specifically, a method and a model for presenting the most appropriate KSIC code are proposed by collecting explanatory texts of each code of KSIC and calculating the similarity with the classification object document using the vector space model. The IPC data were collected and classified by KSIC. And then verified the methodology by comparing it with the KSIC-IPC concordance table provided by the Korean Intellectual Property Office. As a result of the verification, the highest agreement was obtained when the LT method, which is a kind of TF-IDF calculation formula, was applied. At this time, the degree of match of the first rank matching KSIC was 53% and the cumulative match of the fifth ranking was 76%. Through this, it can be confirmed that KSIC classification of technology, industry, and market information that SMEs need more quantitatively and objectively is possible. In addition, it is considered that the methods and results provided in this study can be used as a basic data to help the qualitative judgment of experts in creating a linkage table between heterogeneous classification systems.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.101-109
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• 2014

The Consultation about Energy Use Plan is prescribed by the Energy Use Rationalization Act. This study calculated the Standard Data for Energy Use Plan of Industry Complex by the 9th Korean Standard Industrial Classification Divisions so that the energy demand reflecting the industrial technology change and characteristics of Manufacturing Divisions would predict. To achieve this aim, analysis on thousands of data in Energy Consumption Report Forms reported from industries which annual consumption of energy exceeds 2,000toe from 2009 to 2010 was carried out. The results showed that calculated overall mean fuel basic unit decrease, electricity basic unit increase and energy basic unit increase compared to that of the Notification No. 2002-130 of the Ministry of Commerce, Industry and Energy, therefore it means that heat source of energy facilities transferred from fuel to electricity. Also resultingly suggests that the related notification, code etc. are amended as soon as possible.

• Convergence Security Journal
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• v.20 no.1
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• pp.25-32
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• 2020

In the midst of the rising need for Industrial Security experts, the development of National Competency Standards(NCS) with regards to industrial security is a very important and urgent task. The NCS standardizes university-level academic curriculum and qualification systems and connects them with the industry's needs. This study has extracted, classified and analyzed security-related jobs and tasks requiring security expertise that is required within NCS. Through this study, many tasks have been confirmed to require security competencies that are different from those in IT-security, physical security that already exist as a NCS tasks. It is expected that the industry's needs of industrial security expertise will be reflected in future NCS development, which will be used as basic data for systematizing industrial security jobs and competency.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.117-124
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• 2023

Through reorganization in 2008, The ministry of Agriculture, Food and Rural Affairs integrated management of the food industry by transferred functions which was scattered in the Ministry of Health and Welfare, and established comprehensive policies covering the primary, secondary, and tertiary industries. In the agricultural industry sector, new business concepts such as smart farm and food tech have recently emerged alongside the fourth industrial revolution. In order for the Ministry of Agriculture, Food, and Rural Affairs to develop appropriate policies for the fourth industrial revolution, it is necessary to accurately estimate the size of agricultural and livestock-related businesses. In 2017, the Ministry of Agriculture, Food, and Rural Affairs initiated research for the agriculture, livestock and food industry's special classification, which was approved by the National Statistical Office in 2020. The estimation of the agriculture, livestock and food industry's size based on special classification is crucial because it has a substantial impact on the formulation and significance of policies. In this paper, the appropriate rate was derived from samples extracted from the special classification and the Korean standard industrial classification. Proposed are a method for estimating the population of the agricultural and livestock food industry, as well as a method for calculating the appropriate rate that more accurately reflects the population than the method currently in use.

• Journal of Navigation and Port Research
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• v.39 no.3
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• pp.267-275
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• 2015

Port Logistics Industry plays a crucial role in trade creating added value, and contributes greatly in economic growth of a nation. Multitude of studies have been conducted to develop this industry as a means of intensifying national competitiveness. In line with this trend, this study aims to examine the effect of the Port Logistics Industry on the regional economy focusing on Ulsan, and also compare the industry among five port cities by using Korean Standard Industrial Classification (KSIC) Rev. 9 and 2010 Economy Census. The results of this study demonstrate that the Port Logistics Industry has significant regional employment rate and economic importance, showing the high number of workers (11.7%) and sales (13.1%) in 2010. According to the comparison among five port cities between 2007 and 2011, the increase of annual average in the number of companies of Gwangyang (5.72%) and Ulsan (4.23%) is higher than the national average (1.74%), and Ulsan (23.82%) and Pyeongtaek (25.74%) show high increase of annual average in the number of workers.

• Journal of Korea Port Economic Association
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• v.23 no.2
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• pp.63-86
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• 2007

Historically, government has facilitated logistics by building the airports, the seaports, the rail and transit lines, subsidized their operations where necessary, and established the basic laws and regulations pursuant to which the industry serves the public. In the late 1990s and early 2000s, Korean government began to prepare the basic laws of logistics and nowadays it has tried to refine national logistics laws to reflect contemporary industry conditions and evolving ideological attitudes. The policy objectives governing logistics regulation have changed significantly since 2000. This article traces the current status of the Korean logistics laws which regulate one of the nation's most important industries and suggests certain amendment of current laws.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.749-752
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• 2003

건설분야는 전산화가 낙후되어 있고, 개발 시스템간의 호환성이 결여되어 이중 삼중의 자료처리와 불필요한 인력소요 등 비효율성이 대두되고 있으며, 특히 국가적인 표준코드와 표준업무프로세스의 기준 제시가 없어 과거 데이터에 대한 활용률이 저하되고, 데이터 작성시 표준적인 체계 미흡 등 실무 적용에 있어 효율성이 저하되고 있다. 건설 표준규격의 부재는 건설분야 정보화사업의 중복투자 및 건설정보의 사장 등 인적, 물적 손실과 함께 곽가 경쟁력 향상에 장애요인을 초래하는 등 많은 문제점이 야기되고 있는 실정이다. 최근 건설산업의 정보화로 건설 ERP의 개발이 활발하게 이루어지고 대기업을 중심으로 건설 ERP의 적용이 확대되어 가고 있는 실정이나 건설 표준규격의 미흡으로 정보 공유 및 재활용에 어려움을 겪고 있다. 따라서 정보 유통의 기반조성과 정보의 공동이용을 위한 통일된 건설정보 분류체계를 적용시킨 건설 ERP 설계가 필요하다. 본 연구에서는 건설표준ERP템플릿에 표준이 될 수 있는 규격코드과 프로세스를 제시하고 ERP템플릿시스템에 적용에 대하여 연구를 하였다.