• 한국약용작물학회:학술대회논문집
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• 한국약용작물학회 2007년도 춘계학술발표회
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• pp.209-210
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• 2007

• 한국전산구조공학회논문집
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• 제34권5호
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• pp.327-337
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• 2021

본 연구는 인공지능 연구개발과정에 많은 인적자원이 필요함을 인지하고 현 개발방식 고려할 사항에 대해 논의한다. 결론적으로 인공지능 개발의 효율성 향상을 위해서는 소수의 관리자와 많은 일반작업자들의 분업화가 이루어져야 가능하며, 이는 마치 일종의 경공업의 형태와 유사하다고 생각된다. 따라서 본 연구진은 컴퓨터라는 기계장치로 데이터라는 디지털 자원을 다루어 생산의 효율성을 높이는 인공지능 개발과정을 4차산업시대의 디지털 경공업이라고 명명한다. 이전 산업혁명시대에서 경험한 것과 마찬가지로 인적자원을 효율적으로 배분화하고 활용한다면 디지털 경공업은 2차산업혁명 못 지 않는 발전을 기대할 수 있을 것이며, 이를 위한 인력양성이 시급하다고 판단된다.

• Preventive Nutrition and Food Science
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• 제18권4호
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• pp.242-248
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• 2013

In recent years, manufacturers of animal-based foods with health claims have encountered difficulties in the labeling of their products because of a lack of regulation on defining the functionality of animal-based foods. Therefore, this study was conducted to establish the basic requirements for the development of a definition for functional animal-based foods by investigating consumer and industry awareness. Survey data were collected from 114 industry representatives and 1,100 consumers. The questions of the survey included items on production status and future production plans, functionality labeling, promotion plans, establishment of definition, the role of the government, consumer perception, and selection of products. The results show that both industry representatives and consumers believe that legislation and the provision of scientific evidence should be improved for the development of a functional animal-based foods market. The results obtained from this study will contribute to consumer trust by supplying correct information and can be utilized in the industry as basic data for the development of functional animal-based food products.

• 한국산업융합학회 논문집
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• 제23권3호
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• pp.403-410
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• 2020

Continuous industrial development has led to a better quality of life for everyone, even further accelerating industrial growth. Industrial development, however, has also caused environmental degradation, which is posing a serious threat to humanity. It has also encouraged the indiscriminate use of limited resources, causing resource depletion. Efficient resource management based on resource circulation is critical to saving resources. Resource circulation methods are as follows: reducing the use of resources in the manufacturing process, recycling used or reprocessed products and reusing used resources without being reprocessed, remanufacturing with end-of-life products with disassembled parts. Furthermore, remanufacturing process including cleaning, inspection, repairing, and reassembling facilitate performance level as well as new typical products. It is noteworthy that the remanufacturing of machine tools can significantly save resources because their structural parts are substantially large in size. Machine tools have served as a foundation for the manufacturing industry, which has driven Korea's industrial development. Nevertheless, a few research has been reported for remanufacturing technology with used machine tools. Relevant research of developing a remanufacturing process chart and method is prerequisite for saving the resource and environments.

• 수산경영론집
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• 제36권1호
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• pp.27-49
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• 2005

This paper represents a critical review of current the relationship between aquaculture and the environment, focusing on the development of marine aquaculture for conservation of resources and environment in Korea. Aquaculture has grown rapidly during the past few decades in Korea. This expansion was possibly because of the growing demand for aquatic products and the failure of the capture fishery to keep pace with the demand. Nevertheless, the aquaculture industry must counter criticisms about adverse environmental effects and lack of sustainability. The productivity of Korean aquaculture is decreasing by environmental pollution, is suffering difficulty because competitive power of the aquaculture industry is weak, external effects of aquiculture is giving negative effects to coastal fishery. Therefore, aquaculture must improve as environmentally sound aquaculture for fisheries sustainability, and intensive aquaculture of high density must convert by low input sustainable aquaculture. Finally, the aquaculture system of Korea has to change to aquaculture for conservation of non - renewable resources and environment, it may contribute to development of Korean fisheries.

• 디지털융복합연구
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• 제10권4호
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• pp.297-308
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• 2012

본 연구는 녹색건강사업 인재양성센터에서 추후 의료 관광업계 종사자가 될 인재교육을 받고 있는 학생그룹(106명)과 녹색건강산업 시장의 수요예측을 위해서 강원도 의료기관 및 관광관련업체에 종사하는 그룹(84명)을 대상으로 하여 2010.11.5 -11. 19까지 설문조사 및 심층인터뷰를 실시하였다. 녹색건강산업이라는 새로운 산업에 대한 생소한 용어에 대해서도 인지도가 낮으므로 지자체의 특성에 따른 의료관광산업에 대한 용어의 정의 및 핵심사업의 구체적인 정보를 공유할 수 있는 시스템 구축이 필요하다. 따라서 녹색건강산업 핵심인력을 1단계로 대학 중심으로 양성할 필요성이 있고, 2단계로, 기존 전문인력 대상으로 의료관광 특화인력을 재교육하여 양성할 수 있도록 정책적 지원도 활성화 되어야 한다.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2009년도 추계학술대회
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• pp.125-144
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• 2009

Korean logistics industry have been focused on transportation business. However, with the expansion of the electronic commerce and on-line shopping, delivery service is now dramatically growing. Despite the expansion of logistics market, the domestic logistics industry have significant structural problems such as low productivity comparing with the advanced countries, relatively high cost and shortage of human resources and lack of professionalism of people in the industry. Logistics companies reallocate employees, use subcontractors, expand consignment and training the employees to overcome the labor shortages but it has some limits. In recognition of the importance of labor in the logistics industry, financial support and investment have increased. Logistics companies tend to hire consultants, set up logistics department or R&D center in order to establish highly productive logistics process and system so it is viewed that there will be considerable demands of human resources in the logistics industry. This study indicates implications and development direction of human resources in the logistics industry by looking into prospect and characteristic of the industry, employment status, training programs and qualification requirements.

• 한국축산식품학회:학술대회논문집
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• 한국축산식품학회 2001년도 정기총회 및 제27차 춘계학술발표회
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• pp.13-15
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• 2001

• 원자력산업
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• 제3권4호통권14호
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• pp.39-53
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• 1983

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.177-195
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• 2021

The purpose of this study is to examine the trouble of recruitment and research and development of ICT SMEs. Recently, many ICT SMEs have emerged for selling products and services using the technology of the 4th industrial revolution. However, SMEs have relatively deficient resources compared to large companies, the difficulty of maintenance or growth of human resources and intangible resources. This research methodology organized the four stages of the analysis process. The first analysis is the association rules for human resource recruitment. The second analysis is the difficulty of hiring jobs and experienced workers by each stage of company growth. The third analysis is a regression analysis of the trouble of R&D activity. The last analysis is an analysis of association rules on the difficulties of management activities by company growth. As the research result, the first analysis has shown a difference in favored human resources by the ICT industry. The second analysis also showed factor differences in job recruitment difficulties for each stage of corporate growth. In the third analysis, the operation of research institutes in ICT SMEs is influenced by industry type, corporate certification, corporate growth stage, self-technology development, joint technology development, technology transfer, and commercialization. As the last analysis, ICT SMEs showed factor differences in difficulties in management activities by stage of corporate growth. This study contributed empirically emphasizing the troubling phenomenon of human resources and R&D necessary for the growth of ICT SMEs. As a theoretical implication, this research contributed to the research-area expansion of management information using big-data technologies. In particular, this research practically suggests the differentiated direction of recruitment and R&D by ICT SMEs based on industry and each stage of company growth through the association rules of big data.