• 제목/요약/키워드: Industry Convergence

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광고홍보학과 융합교육 혁신을 위한 학계와 업계의 팀티칭 교수법에 관한 연구 (A Study on The Teaching Method of Team Teaching in Academia and Industry for The Innovation of Advertising and Public Relations Department Convergence Education)

  • 한상필;최윤슬
    • 한국융합학회논문지
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    • 제12권11호
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    • pp.235-245
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    • 2021
  • 4차 산업혁명시대를 맞이하여 과거보다 복잡해진 광고홍보산업 생태계의 복합적인 문제들이 제기되면서, 융합교육의 필요성과 중요성이 요구되고 있다. 본 연구는 학계와 업계의 팀티칭 교수법을 통한 융합교육과 관련된 문헌연구와 광고홍보 학계와 산업계 전문가를 대상으로 한 심층인터뷰를 실시하여 융합교육 활성화를 위한 팀티칭 교수법의 유용성과 실행방안을 연구하였다. 연구결과, 광고홍보학과 교과과정에서 학계와 업계가 공동으로 참여하는 팀티칭 방법의 도입은 적절하며, 학계와 업계의 두 명 이상의 교육자가 공동으로 교육 프로그램을 진행하는 팀티칭은 이론과 실무를 융합한 문제해결 능력 역량을 갖춘 학생 양성에 목적을 두고 있는 의미 있는 교육방법이 될 것으로 나타났다. 본 연구는 광고홍보학과 팀티칭 교육의 탐색적 연구로 새로운 산학 협동 모델을 제안하였으며, 향후 학계와 업계에서 지속적인 연구가 필요할 것으로 기대된다.

융합 R&D 기획을 위한 글로벌 연구개발 과제 정보 체계 활용: 해안 침수 관련 융합 R&D 탐색을 중심으로 (Research on utilizing global R&D funding database to plan convergence R&D project: Exploring convergence R&D related to the coastal inundation)

  • 허요섭;심위;서성호;강현무;강종석
    • 한국산업융합학회 논문집
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    • 제22권5호
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    • pp.475-481
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    • 2019
  • The paradigm of convergence R&D is shifting from the convergence of technologies to the convergence of solutions to solve the complex problems of scientific and social development. On the other hand, it is prevalent that there is a lack of convergence in our research field. Although Korea has invested heavily in fusion research and development, Korea has mainly focused on the application and development of technology, so failed to plan convergence R&D in line with the new paradigm. Therefore, in this study, we searched for convergence R&D area that is being done to solve social problems, and tried to make use of data-driven objective methods. For this purpose, we used the investment information of global R&D projects that had no retrospective properties and derived the convergence R&D area related to coastal flooding.

스타트업 데이터 기반의 시장융합 다이내믹스 분석: 한국을 중심으로 (A Study on Market Convergence Dynamics Based on Startup Data: Focusing on Korea)

  • 송지훈
    • 한국산업융합학회 논문집
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    • 제25권4_2호
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    • pp.627-636
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    • 2022
  • Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

Hybrid SPR 접합을 적용한 이종소재 인장전단에 관한 연구 (Investigating the Tensile-Shear of Dissimilar Materials Joined Using the Hybrid SPR Technique)

  • 유관종;최두복;김재열
    • 한국기계가공학회지
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    • 제19권9호
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    • pp.33-39
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    • 2020
  • Self-piercing rivets are often used in the automotive industry, among other industries, as mechanical components to join multiple materials such as aluminum alloys. Self-piercing rivets have a strong sealing property, although there is considerable scope for their performance improvement. In this study, to enhance the performance of self-piercing rivets, the hybrid self-piercing riveting (SPR) technique, using the existing SPR and structural adhesive, was proposed. Moreover, heterogeneous material specimens subjected to the hybrid SPR technique were manufactured and tested. The joint strength of the test pieces of different materials was evaluated through finite element analyses.

뿌리산업 작업장내 총휘발성유기화합물류(TVOC) 실시간 노출감시체계 구축과 농도 분석 (Real-time TVOC Monitoring System and Measurement Analysis in Workplaces of Root Industry)

  • 박종혁;김범수;강지욱;한수희;김경준
    • 한국산업보건학회지
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    • 제32권4호
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    • pp.425-434
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    • 2022
  • Objectives: This study analyzes TVOC concentrations in root industry workplaces in order to prevent probable occupational disease among workers. Root industry includes all the infrastructure of manufacturing, such as casting and molding. Methods: Real-time TVOC sensors were deployed in three root industry workplaces. We measured TVOC concentrations with these sensors and analyzed the results using a data-analysis tool developed with Python 3.9. Results: During the study period, the mean of the TVOC concentrations remained in an acceptable range, 0.30, 2.15, and 1.63 ppm across three workplaces. However, TVOC concentrations increased significantly at specific times, with respective maximum values of 4.98, 28.35, and 26.65 ppm for the three workplaces. Moreover, the analysis of hourly TVOC concentrations showed that during working hours or night shifts TVOC concentrations increased significantly to higher than twice the daily mean values. These results were scrutinized through classical decomposition results and autocorrelation indices, where seasonal graphs of the corresponding classical decomposition results showed that TVOC concentrations increased at a specific time. Trend graphs showed that TVOC concentrations vary by day. Conclusions: Deploying a real-time TVOC sensor should be considered to reflect irregularly high TVOC concentrations in workplaces in the root industry. It is expected that the real-time TVOC sensor with the presented data analysis methodology can eradicate probable occupational diseases caused by detrimental gases.

Depression in family members of a patient with asthma: The Korean national health and nutrition examination survey 2007-2012

  • Lee, Kyoung Won;Kim, Hyekyeong;Choi, Jung Mi
    • 보건교육건강증진학회지
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    • 제33권2호
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    • pp.47-55
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    • 2016
  • Objectives: We investigated whether the rate of depressive symptom is higher among family members of asthmatic patient compared to people who had no asthmatic family member. Methods: This study used data from the fourth and fifth Korea National Health and Nutrition Examination Survey (2007-2012). In this cross-sectional study, 15,987 men (mean age 46.4) and 20,906 women (mean age 47.4) were included. To compare the rate of depressive symptoms in individuals who had a family member with asthma and those who did not have, we analyzed data using survey logistic regression. Results: Diagnosed depression was reported by 3.0% of the study population, by 4.2% of asthmatic patient's family member, and by 3.0% of individuals who did not have a family member with asthma. Family members of asthmatic patient increased odds of diagnosed depression compared with those who did not had an asthmatic family member (odds ratio = 1.56, p = 0.008). Conclusions: To prevent depression among family members of asthmatic patient, health education for entire family of asthmatic patient need to be considered. Also, government and policy makers should give more attention to caregivers who had a family member with asthma.

딥 러닝과 마르코프 랜덤필드를 이용한 동영상 내 그림자 검출 (Moving Shadow Detection using Deep Learning and Markov Random Field)

  • 이종택;강현우;임길택
    • 한국멀티미디어학회논문지
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    • 제18권12호
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    • pp.1432-1438
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    • 2015
  • We present a methodology to detect moving shadows in video sequences, which is considered as a challenging and critical problem in the most visual surveillance systems since 1980s. While most previous moving shadow detection methods used hand-crafted features such as chromaticity, physical properties, geometry, or combination thereof, our method can automatically learn features to classify whether image segments are shadow or foreground by using a deep learning architecture. Furthermore, applying Markov Random Field enables our system to refine our shadow detection results to improve its performance. Our algorithm is applied to five different challenging datasets of moving shadow detection, and its performance is comparable to that of state-of-the-art approaches.

Lipopolysaccharide로 활성화된 RAW264.7세포에서 염증반응사이토카인 발현에 대한 Epigallocatechin gallate의 억제효능연구 (Suppressive Effects of Epigallocatechin Gallate Pretreatment on the Expression of Inflammatory Cytokines in RAW264.7 Cells Activated by Lipopolysaccharide)

  • 서은지;고준;김지은;고은경;송성화;성지은;박찬규;이현아;김동섭;손홍주;이충열;이희섭;황대연
    • 생명과학회지
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    • 제25권9호
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    • pp.961-969
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    • 2015
  • Epigallocatechin gallate (EGCG)는 녹차(Camellia sinensis, green tea)에 포함되어 있는 대표적인 카테킨(Catechin)으로, 당뇨(diabetes), 신경퇴행성 질환(neurodegenerative disorders), 암(cancer), 심혈관계 질환(cardiovascular disease), 비만(obesity) 등의 다양한 임상질환에 우수한 치료효과를 나타내는 것으로 알려왔다. 본 연구에서는 EGCG가 LPS (Lipopolysaccaride)로 자극된 RAW264.7 세포의 염증억제과정에서 Nitric oxide (NO)관련인자와 사이토카인 발현에 미치는 영향을 분석하기 위해, NO농도, inducible NO synthase (iNOS) 발현량, TNF-α, IL-1β, IL-6, IL-10 사이토카인의 발현량을 분석하였다. 먼저, EGCG (100-400 μM)를 처리한 Raw264.7 세포에서 특이적인 독성이 나타나지 않음을 확인하였으며, 이후 Raw264.7 세포에 4가지 다른 농도(0.1, 0.5, 1.0, 5.0 μg/ml)의 LPS를 처리한 후 MTT분석, NO농도분석, IL-6농도분석을 실시하여, 염증을 유발할 수 있는 최적 LPS 농도를 1 μg/ml로 설정하였다. NO농도를 분석한 결과, LPS를 처리한 그룹이 No그룹에 비하여 급속히 증가하여 63 μmol/l까지 증가하였으나 400 μM EGCG를 처리한 그룹에서만 68.2% 정도 감소하였으며, 동시에 iNOS 발현 양상은 200, 400 μM EGCG/LPS 처리 그룹에서 각각 12.3%, 17.4% 감소하였다. 또한, 감소비율에는 차이가 있었으나, anti-inflammatory 사이토카인(IL-1β, TNF-α)과 pro-inflammatory 사이토카인(IL-10)의 발현은 EGCG/LPS 처리에 따라 유의적으로 감소하였다. 그러나, IL-6단백질과 mRNA 농도는 Vehicle/LPS 처리 그룹과 EGCG/LPS 처리 그룹에서 유의적인 차이를 나타내지 않았다. 따라서, 본 연구의 결과는 EGCG가 LPS의 자극에 의해 활성화된 Raw264.7 세포를 효과적으로 억제하는 효능을 나타냄을 제시하고 있으며, 이러한 과정에 사이토카인들이 서로 다르게 특이적 반응을 중계함을 제시하고 있다.

컨버전스 환경에서의 디지털콘텐츠산업 정책 프레임워크 (A Framework of Policy for Digital Contents Industry under the Convergence Environment)

  • 노시춘;방기천
    • 디지털융복합연구
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    • 제6권1호
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    • pp.35-41
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    • 2008
  • The digital economic environment of next generation, which digital high-technology industry appears to be the economic center of the high degree of industry structure, is expected to be developed as the existing traditional industry is merged with high tech digital one. The developing system of contents policy for digital industry means the policy and vision, and strategic structure which get the mechanism of contents industry structure to work. The promotion organization of digital contents policy is requested to secure the framework of digital contents industry based on cluster, the infra framework of digital infra culture, the infra framework of industry-academic cooperation, and the overall digital contents based on motive policy for the vitality of the youth. The application of digital contents policy may lead to establish the framework of the growth for the every unit of industry with the cluster oriented system.

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