• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.201-215
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• 2015

Recently advanced security threats have increasingly occurred, and the necessity and importance of Information Security has been growing with the advent of the era of convergence beyond information-oriented age. Most domestic studies in the field of occupational classification of Information Security have only focused on technology-oriented occupations. Relatively little research has been carried out on the occupational classification in the view of convergence environment. Therefore, in this paper we gave a definition of Information Security occupations, classified them and draw required capabilities by occupations in order to design the occupational classification system of Information Security and the required capabilities for future convergence environment by analyzing the previous studies. We also reclassified the occupational classification and required capabilities by occupations, and verified the validity of them based on National Initiative for Cybersecurity Education's the occupational classification system of Information Security considering the future convertgence environment. It is expected that the results of this study will be employed as base data for manpower demand and supply and improvement of working conditions in the future convergence environments. In the future study we will build standardized instruction methods which provide occupational capabilities by using the required capabilities by occupations.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.338-357
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• 2015

The purpose of this study is to present an objective basis for the entry point of a knowledge-based economy, that is used by quantitative analysis to serve as 'The Result of Wage Structure Survey' and 'Sample Design for Survey Report on Labor Conditions by Employment Type' of the Ministry of Employment & Labor. Entry criteria for a knowledge-based society, through the definition of a Bell and Toffler, was defined by the number of information workers more than the number of physical workers, and the information workers were classified by knowledge workers. To redefine the definition of Porat's typology of information workers, Korea Standard Classification of Occupation is classified by the job of knowledge, service, industry and agriculture. The result of the analysis is appeared the entry point of a knowledge-based economy by workers structural changes and annual wage structure changes has identified empirically-year 1980 the United States more than 20 years later in 2000. In addition, the economic contribution of knowledge occupation was confirmed to be the biggest by measuring the economic contribution of occupation classification in the knowledge society.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.1
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• pp.21-31
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• 2024

This study provides the underlying data on the inclusion of medical technologists in the category of medical personnel. Medical personnel are defined in the Medical Service Act as physicians, dentists, oriental medicine doctors, midwives, and nurses. In the act, medical technologists shall be classified into clinical laboratory technologists (clinical pathology technologists in the Korean language), radiological technologists, physical therapists, occupational therapists, dental technologists, and dental hygienists. Although South Korea's medical personnel do not include medical technologists, Japan and Taiwan define them as medical personnel. Various standard occupational classification such as International Standard Classification of Occupations 2008, Korean Standard Classification of Occupations 2017, Japan Standard Occupational Classification 2009, Taiwan Standard Occupational Classification 2010, and USA Standard Occupational Classification 2018 were compared. The education system for medical health technologists was explained to include 4-year university and 3-year junior college programs. The roles of medical technologists in medical practice, therapy, and medical assistance were outlined. These basic materials incorporate the need for discussions about the meaning of including medical technologists in the type of medical personnel. These discussions will contribute to the legalization of medical technologists' professionality with regard to their inclusion in the type of medical personnel.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.169-179
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• 2005

Standard industry and occupation code are usually assigned manually in Korean census. The manual coding is very labor intensive and expensive task. Furthermore, inconsistent coding is resulted from the ability of human experts and their working environments. This paper proposes an automatic code classification system which converts natural language responses on survey questionnaires into corresponding numeric codes by using manually constructed rule base and example-based machine learning. The system was trained with 400,000 records of which standard codes was assigned. It was evaluated with 10-fold cross validation and was tested with three code sets: population occupation set, industry set, and industry survey set. The proposed system showed 76.63%, 82.24 and 99.68% accuracy for each code set.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.23-30
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• 2021

An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.117-123
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• 2019

The aim of this study was to investigate the priority partner countries for technical vocational education and training (TVET), using the cluster analysis. The partner countries were prioritized for finance supports and knowledge sharing. We had also redesigned the TVET assistance process as well as reflected the needs of recipient countries for TVET. Especially, by redesigning the methodological support process, we also increased the effectiveness and efficiency of TVET official development assistance. In research method, potential 24 priority partner countries have been designated by the international development cooperation committee and selection criteria of international cooperation agencies and banks. Then, we conducted the cluster analysis, using three main variables: economic factor, labor market factor, education factor. In results, we clustered four and three types of the priority partner countries for TVET. In future, we suggested the new approach for selecting the priority partner countries in terms of employment and labor as well as non-designated partner countries, which will need to cooperate for TVET.

• 월간산업보건
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• s.374
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• pp.58-64
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• 2019

<2019 한국직업전망>이 발표되었다. 대표직업 196개 중 향후 10년간 수요가 증가할 것으로 보이는 19개 직업에 '산업안전 및 위험관리원'이 포함되었다. 고용정보원 홈페이지에 들어가 상세내용을 살펴보면 오랜 시간 연구, 분석한 자료임을 알 수 있다. <2019 한국직업전망>에서 다른 안전 관련 직종은 없었고 '산업안전 및 위험관리원'만 찾아볼 수 있었다. 산업안전 및 위험관리원은 앞으로 10년동안 1만 명 정도 그 수요가 더 늘어날 것으로 예상한다. 해당 분야는 '한국고용정보원 > 직업정보 > 한국직업전망 > 산업안전 및 위험관리원'으로 분류돼 있다. 그 주요 내용을 소개한다.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.341-347
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• 2020

This study was conducted to identify the oral function problems of workers according to Korean Standard Classification of Occupations (KSCO) and to provide evidentiary material to promote them to revise the Occupational Safety and Health Act so that workers can benefit from the collective oral healthcare project. For the research materials, it was used the 7th raw data (1st and 2nd) of National Health and Nutrition Examination Survey. It was examined the problems of chewing and speaking for the workers over 19 years old by KSCO. The connection between the types of workers and the problems of chewing and speaking has been confirmed (p<0.05). In order to improve the workers' oral healthcare, the collective oral healthcare project should be implemented. Therefore, the Occupational Safety and Health Act should be revised to hire professional health care manager with expertise, who will be host of the collective oral healthcare project.

• Journal of vocational education research
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• v.33 no.3
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• pp.57-81
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• 2014

The purpose of this study is to identify the latent classes depending on trajectories of intrinsic and extrinsic work values amongst college students and to test the effects of gender, socioeconomic status, academic achievement and career maturity on determining the latent classes. The results indicated that intrinsic and extrinsic work values, respectively, have two types of latent classes. The latent classes were defined as a increasing group(29.4%) and a slight decreasing group(70.8%) in intrinsic work values, a slight decreasing group(18.1%) and a increasing group(81.9%) in extrinsic work values. It was also found that the higher academic achievement levels were more likely to belong to the increasing group in intrinsic work values, male college students were more likely to belong to the increasing group in extrinsic work values, and the higher socioeconomic status were more likely to belong to the increasing group in extrinsic work values. The findings of this study can enrich future research into career counseling and education of college students and provide basic data for the strategies and intervention of career counseling. Both the implications and limitations of this study were also discussed, along with suggestions for future research.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.203-210
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• 2019

This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.