• Title/Summary/Keyword: standard industry classification

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An automated Classification System of Standard Industry and Occupation Codes by Using Information Retrieval Techniques (정보검색 기법을 이용한 산업/직업 코드 자동 분류 시스템)

  • Lim, Heui Seok
    • The Journal of Korean Association of Computer Education
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    • v.7 no.4
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    • pp.51-60
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    • 2004
  • This paper proposes an automated coding system of Korean standard industry/occupation for census which reduces a lot of cost and labor for manual coding. The proposed system converts natural language responses on survey questionnaires into corresponding numeric codes using information retrieval techniques and document classification algorithm. The system was experimented with 46,762 industry records and occupation 36,286 records using 10-fold cross -validation evaluation method. As experimental results, the system show 87.08% and 66.08% production rates when classifying industry records into level 2 and level 5 codes respectively. The system shows slightly lower performances on occupation code classification. We expect that the system is enough to be used as a semi-automate coding system which can minimize manual coding task or as a verification tool for manual coding results though it has much room to be improved as an automated coding system.

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A Study on Analysis of the Template Component for the Development of BIM Template (BIM 템플릿 개발을 위한 템플릿 구성요소 분석에 관한 연구)

  • Lee, Sang Heon;Kim, Mi Kyoung;Choi, Hyun Ah;Jun, Han Jong
    • KIEAE Journal
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    • v.11 no.2
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    • pp.123-130
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    • 2011
  • BIM based design methodology requires more information than traditional design methodology in order to insure efficiency throughout the project. BIM based design not only requires all building data in the form of 3D shapes, but also all other relevant data regarding building components. Information is typically grouped in a standard classification system such as by standardized material names. The development of a domestic BIM based standard classification system is yet to be created and deployed in the industry. Each designer is specifying their own building information classification systems which is causing inconsistency in the industry. Therefore BIM based designs, are causing confusion in the industry as each designer follow no guidelines for material standardization classification. The lack of information regarding this in the BIM template will continue to cause confusion about a projects building information data consistently. This study is that of preliminary research to develop a BIM template. First, overseas BIM templates were analyzed regarding BIM standards and documentation. Examination then followed regarding the element and characteristics needed for the development of a BIM template, a suggested hierarchy of elements required for a BIM template were then made. The result of this research is that it will be used to develop a "BIM template prototype", to support the generation of building information data regarding neighborhood facilities.

The Effects of Industry Classification on a Successful ERP Implementation Model

  • Lee, Sangmin;Kim, Dongho
    • Journal of Information Processing Systems
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    • v.12 no.1
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    • pp.169-181
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    • 2016
  • Organizations in some industries are still hesitant to adopt the Enterprise Resource Planning (ERP) system due to its high risk of failures. This study examined how industry classification affects the successful implementation of the ERP system. To achieve this goal, we reinvestigated the existing ERP Success Model that was developed by Chung with the data from various industry sectors, since Chung validated the model only in the engineering and construction industries. In order to test to see if the Chung model can be applicable outside the engineering and construction industries, the relationships between the ERP success indicators and the critical success factors in the Chung model and those in the sample data collected from ten different industry sectors were compared and investigated. The ten industry sectors were selected based on the Global Industry Classification Standard (GICS). We found that the impact of success factors on the success of implementing an ERP system varied across industry sectors. This means that the success of ERP system implementation can be industry-specific. Thus, industry classification should be considered as another factor to help IT decision makers or top-management avoid ERP system failures when they plan to implement a new ERP system.

A Study of Landscape Construction Work Classification for System Instruction of New Estimation System based on Historical Construction data. - With regard to Housing Landscape Construction - (실적공사비 적산방식 도입을 위한 조경공사 공종분류체계에 관한 연구 -주택단지 조경공사를 중심으로-)

  • 박원규;김두하;안동만
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.1
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    • pp.82-99
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    • 1997
  • The purpose of this study is to establish work classification system of landscape construction in order to offer the basis of new estimation system of public landscape construction. New estimation system is based on historical construction data. For application of this system, the standard work classification system is necessary. Because extensive cost data should be accumulated under an unified construction work classification system. In the study of new estimation system carried by KICT(Korea Institute of Construction Technology), landscaping works belong to earth work of civil engineering. It looks very unreasonable work classification, because landscape archtecture has its own specialties and professional domain. In this study, information classification systems in the construction industry and various landscaping works of housing developments are analysed. As a result. a standard work classification system of housing landscape construction is proposed in section VI-3. This standard work classification structure consists of three levels divisions (i.e large work division, middle work division, small work division) . Now in this study, housing landscape construction works are divided into four large works and twenty six middle works. According to work attributes, middle and small work division is possible to subdivide into details.

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Deep learning-based classification for IEEE 802.11ac modulation scheme detection (IEEE 802.11ac 변조 방식의 딥러닝 기반 분류)

  • Kang, Seokwon;Kim, Minjae;Choi, Seungwon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.2
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    • pp.45-52
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    • 2020
  • This paper is focused on the modulation scheme detection of the IEEE 802.11 standard. In the IEEE 802.11ac standard, the information of the modulation scheme is indicated by the modulation coding scheme (MCS) included in the VHT-SIG-A of the preamble field. Transmitting end determines the MCS index suitable for the low signal to noise ratio (SNR) situation and transmits the data accordingly. Since data field decoding can take place only when the receiving end acquires the MCS index information of the frame. Therefore, accurate MCS detection must be guaranteed before data field decoding. However, since the MCS index information is the information obtained through preamble field decoding, the detection rate can be affected significantly in a low SNR situation. In this paper, we propose a relatively robust modulation classification method based on deep learning to solve the low detection rate problem with a conventional method caused by a low SNR.

A Study on the Analysis of Aviation Safety Data Structure and Standard Classification (항공안전데이터 구조 분석 및 표준 분류체계에 관한 연구)

  • Kim, Jun Hwan;Lim, Jae Jin;Lee, Jang Ryong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.4
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    • pp.89-101
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    • 2020
  • In order to enhance the safety of the international aviation industry, the International Civil Aviation Organization has recommended establishing an operational foundation for systematic and integrated collection, storage, analysis and sharing of aviation safety data. Accordingly, the Korea aviation industry also needs to comprehensively manage the safety data which generated and collected by various stakeholders related to aviation safety, and through this, it is necessary to previously identify and remove hazards that may cause accident. For more effective data management and utilization, a standard structure should be established to enable integrated management and sharing of safety data. Therefore, this study aims to propose the framework about how to manage and integrate the aviation safety data for big data-based aviation safety management and shared platform.

A Study on the Calculation of Standard Data for Energy Use Plan of Industry Complex (산업단지 에너지사용계획을 위한 표준데이터 산정 연구)

  • Suh, Kwang-Soo
    • 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.

Integrated Code Classification System for Work Sections in Standard Method of Measurement and Construction Standard Specifications (수량산출기준 및 공사시방서의 공종분류코드 통합기준 연구)

  • Kang Leen-Seok;Kwak Joong-Min
    • Korean Journal of Construction Engineering and Management
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    • v.2 no.4 s.8
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    • pp.80-91
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    • 2001
  • Considering that the classified items in the work section level can have an applicability when those items are being used to cost and specification information with consistency, the work section classification code should be applied as an Integrated code system. Our construction industry is using three work section classification systems for civil engineering projects, such as integrated construction information classification system, standard method of measurement and guide of project specification. And each standard construction specification is also using different work section classification systems. This study suggests a methodology to integrate the code systems in construction specifications with civil engineering standard method of measurement. And the methodology suggested in this study was applied to a web-based prototype system with practical specification codes.

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Analysis of the Domestic Construction Industry Classification System through an Overseas Construction Industry Case Study (해외 건설산업의 사례에 의한 국내 건설 업종 분류체계의 비교 분석)

  • Kim, Jeong-wook;Kim, Gyu-yong;Choi, Min-soo;Nam, Jeong-soo;Lee, Sang-soo
    • 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.

A sampling design for e-learning industry status survey on the business demand sector (이러닝수요부문 사업체실태조사를 위한 표본설계)

  • Kim, Hea-Jung;Kwak, Hwa-Ryun
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.701-712
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    • 2013
  • The e-learning industry status survey statistic provides information about the actual conditions of supply and demand of the e-learning industries. NIPA (National IT Industry Promotion Agency) has published the annual report of the survey results since 2004. Due to the 9th version of the KSIC (Korean standard industrial classification) revised in 2008, a refinement of the sampling design for the survey becomes necessary, especially that for the business demand sector. This article, based on the 9th revision of the KSIC, constructs a stratification of the target population used for the e-learning industry status survey on the business demand sector. Classification of strata in the business population is based on the industrial type and employment scale of business. Under the stratified population, we design a sampling scheme by using the power allocation method that enables us to satisfy a target coefficient of variation of each industrial stratum. In order to secure an accurate survey results based on the proposed sampling design, we consider the problem of calculating the design weights, derivation of parameter estimators, and formulas of their standard errors.