• Korean Institute of Interior Design Journal
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• no.37
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• pp.3-11
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• 2003

The study Is Intended to investigate and analyze the system and practice that have been applied to Interior Architecture, comparing with a number of similar foreign cases, in an attempt to seek the way toward its development as well as to come up with the solution for enhancing the competitiveness, thereby making a recommendation on how to create the desirable work environment of Interior Architecture down the road. The conclusion and recommendation we have made is highlighted as follow. Among the practical or procedural challenges in the process of improving work environment of Interior Architecture, development of current national technical qualification system in a way of further detailing the categories of Ki-sul-sa(highest engineer grade) or Ki-neung-jang(highest technician grade) as part of measures aimed at gradual approaching for improvement of design fees and rates or supervision fees will be very crucial, that calls for close coordination with the Ministry of Labor and Human Resources Development Service of Korea. In a bid to upgrade the Interior Architecture to become the part of knowledge-based industry, amendment to Korean Standard Industrial Classification along with Standard Classification of Occupations and Academic Classification will be essential, and moreover with the attitude of reflection and self-improvement, the endeavors to be able to deal with the revision of existing laws and regulations in a consistent way and manner, by forming a joint committee among the three Interior Architecture-related organizations(KOSID, ICC, KlID), will be more than important.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.3
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• pp.345-352
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• 2014

Objectives: This study is aimed to describe the current situation about urinary biomarker N-methylformamide(NMF) for workers exposed to N,N-dimethylformamide(DMF) according to industrial classification. Materials: Special health examination records of the workers who had undergone urinary biological monitoring in 2013 were collected. The numbers and percentage of workers, whose urinary NMF values were above the limit of detection(LOD) and above the biological exposure index(BEI) were calculated. Health relatedness with DMF as judged by their doctors was also described. All description was classified according to the $9^{th}$ Korean Standard Industrial Classification(KSIC). Results: It appeared that most workers exposed to DMF belong to manufacturing section(80.7%). The geometric mean(GM) values of urinary NMF were 6.25 mg/L, 3.54, and 3.86 for the manufacturing section, professional, scientific and technical activities section, and for the construction section respectively. In detail, it seemed that division of textiles(except apparel) (GM 7.51 mg/L), division of leather, luggage and footwear(11.59 mg/L), and division of rubber and plastic products(6.89 mg/L) were highly exposed to DMF with a high percentage of workers with urinary NMF values above BEI. This was probably due to the effect of skin absorption that the division of leather, luggage and footwear showed the highest urine NMF GM. Conclusions: It seemed that workers in manufacture industries such as textile, leather, luggage, footwear, rubber and plastic products were highly exposed to DMF. So, efforts should be focused on those industries in order to effectively diminish worker's exposure. Further studies to compare DMF air-monitoring with bio-monitoring according to industrial classification should be considered.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.189-202
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• 2017

Objectives : This study aims to present a new classification system using evaluation standards to ensure the safety of transport ventilators used in Korea. Due to the rapid advancement of technology, various types of ventilators have been developed and as the range of application increases, so does demand. With quick access to information and a growing economy, the technology used in Korean hospitals is equivalent to that of other countries; however, regulatory and safety consciousness are still lagging in Korea. Methods : Based on researching overseas cases, reference data and standards for improving the current system in Korea are proposed. Results : According to the review of transport ventilator use in Korea, it was found that concerns about safety is due to the absence of a standardized classification system for evaluating the safety and effectiveness of transport ventilators. Conclusions : In order to improve the safety of patients and the quality of medical care, it is essential to establish guidelines and assessment standards guaranteeing the safety of transport ventilators in Korea. Clear definitions and classifications for devices must precede the application of such standards. In addition, effective evaluation standards should be developed in order to resolve problems and improve upon the current system through continuous validation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.55-69
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• 2020

The Internet cyber space has become more important as it enters the intelligent information society of the 4th Industrial Revolution beyond the information age through the development of ICT, the expansion of personalized services through mobile and SNS, the development of IoT, big data, and artificial intelligence. The Internet has formed a new paradigm in human civilization, but it has focused only on the efficiency of its functions. Therefore, various side effects such as information divide, cyber terrorism, cyber violence, hacking, and personal information leakage are emerging. In this situation, facing the intelligent information society can lead to an uncontrollable chaos. Therefore, this study classifies the cyber dysfunction of intelligent information society and analyzes social cognition, suggests cyber dysfunction standard of intelligent information society, and examines the seriousness of dysfunction, and suggests technical research directions for future technologies and services. The dysfunctional classification of the intelligent information society was classified into five areas of cyber crime and terrorism, infringement of rights, intelligent information usage culture, intelligent information reliability, and social problems by FGI methodology. Based on the classification, the social perception of current and future cyber dysfunction severity was surveyed and it showed female is more sensitive than male about the dysfunction. A GAP analysis confirmed social awareness that the future society would be more serious about AI and cyber crime

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.1
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• pp.82-90
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• 2012

Objectives: This study was performed to provide workplaces with political guidelines that apply international CMRs (Carcinogens, Mutagens, Reproductive toxins) information to Public Notice of TLVs (Threshold Limit Values). We analyzed information supply status about CMRs of international agencies and compared substances for which TLVs are set in KMoEL (Ministry of Employment and Labor in Korea). Methods: We referred to the reliable literature about classification criteria of CMRs corresponding to UN GHS (Globally Harmonized System of classification and Labeling of chemicals) and Public Notice No. 2009-68 'Standard for Classification, Labeling of Chemical Substance and Material Safety Data Sheet' in KMoEL. The classification system of CMRs in professional organizations (IARC, NTP, ACGIH, EU ECHA, KMoEL, etc.) was investigated through the internet and literature. Conclusions: 191 chemical substances among total 650 substances with TLVs are classified as carcinogens. Also, 43 substances classified as mutagens, and 44 as reproductive toxicants. These results suggest that the information of CMRs in Public Notice of TLV will be reorganized to 191 carcinogens, 43 mutagens, and 44 reproductive toxicants.

• 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.

• 대한공업교육학회지
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• v.39 no.1
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• pp.143-163
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• 2014

This study developed a National Competency Standard(NCS) regarding the casino operations management based on the manual for developing National Competency Standard of 13 years and a revised classification system chart of the National Competency Standard. For the research method, this study developed a national competency standard of relevant jobs after going through review, consultation, modification, supplementation, and reporting procedures 10 times with development experts of the National Competency Standard, the industrial setting professionals, education and training experts, qualification(job analysis) experts, facilitators, and a working group of job verification committee based on the phased range and DACUM procedure of study. The major development results of this study are as follows. First, this study selected and defined duties based on the revised classification system chart of the National Competency Standard, then drew and developed total 8 ability units based on the applicable duties. Secondly, based on the developed ability units, total 27 ability unit factors were deduced and developed. Thirdly, a standard system by ability unit factor was developed based on the level of the national competency standard and revised classification system chart, then this study deduced and developed a supra-domain of the standard system by competency units using the standard tranquility value by these competency unit factors. Based on such development contents and guidelines for the national competency standard ability unit classification number, this study deduced and developed category numbers by relevant competency unit. Fourthly, total 27 relevant performance standard by competency units and knowledge, skill, and attitude were deduced and developed. Fifthly, this study deduced and developed a scope of application, work situation, evaluation guide, core competency, and development history in reference to the total 8 relevant competency units based on the duties.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.516-518
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• 2020

통계청에서는 지역별고용조사, 인구총조사 등 다양한 조사를 실시하고 있다. 이러한 조사에서는 응답자의 사업체명, 사업체가 주로 하는 일, 응딥자가 한 일, 부서 및 직책 정보 등을 조사해서 조사되어진 자료를 토대로 한국 표준 산업분류 형태로 코드를 부여해 주고 있다. 각 조사에서는 자연어 형태로 입력을 받아서 자료처리 기간에 코딩작업을 하는 조사가 있고 조사원이 입력을 하면서 자동코딩시스템을 이용해서 산업분류 코드를 입력하는 방식도 있다. 본 연구에서는 전자의 방법을 자동화하는 것에 초점을 두었다. 딥러닝 알고리즘을 이용해서 기존에 코드부여가 완료된 자료를 가지고 실험을 해본 결과 조사된 모든 항목을 사용했을 때에는 CNN이 81.36%로 가장 좋은 성능을 보였고, 항목을 2가지로 (사업체가 주로 하는 일/응딥자가 한 일) 줄였을 경우 전체적으로 더 좋은 성능을 보였다. 그 중에 CNN-LSTM이 85.91%로 가장 좋은 성능을 보였다.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.388-390
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• 2006

본 논문은 수동 코드 분류 규칙과 예제기반의 자동 학습을 이용하는 한국어 표준 산업/직업 코드 자동분류 시스템을 제안한다. 제안된 시스템은 산업과 직업에 대하여 설명하는 자연어를 입력받아 해당 산업/직업 분류 코드를 생성하는 시스템으로 수작업으로 구축된 규칙을 적용한 후 규칙이 적용되지 않는 레코드는 예제 기반의 학습을 이용한 자동 분류 시스템에 의해서 해당 코드를 할당한다.