• 대한지역사회영양학회지
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• 제27권5호
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• pp.373-386
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• 2022

Objectives: This study examined the perception of the vegan trend of millennials and their future needs. Methods: This study was conducted online from June 21, 2021, to July 15, 2021, targeting 425 adult men and women born between 1980 and 2000. The contents of the survey were divided into four categories: general information, awareness of vegetables, awareness of vegan trends, and future needs for vegan trends. Results: Most respondents recognized the importance of eating vegetables and perceived vegetarianism and veganism as a lifestyle. Regarding the perception of the vegan trend, the highest response rate was 'The vegan trend is to be satisfied with my life regardless of other people', while the lowest response rate was 'The vegan trend is only a temporary fad'. The reasons for purchasing vegan products with high response rates were 'interest in the earth and environment', 'protection of animal rights', and 'thinking about health'. The type of vegan product wanted in the future was delicious food, and convenience level was in the order of 'completely cooked', 'half-cooked', and 'pre-processed'. Among the sustainable vegetarian types that millennials responded, 'semi-vegetarian', which can consume most animal products excluding red meat, showed the highest response rate. Conclusions: The positive perceptions about vegetables are expected to increase. Efforts should be made to develop convenient meals using vegetables and provide reasonable prices to expand vegetable intake.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.314-314
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• 2023

Extreme climate events can have a large impact on human life by hampering social, environmental, and economic development. Global circulation models (GCMs) are the widely used numerical models to understand the anticipated future climate change. However, different GCMs can project different future climates due to structural differences, varying initial boundary conditions and assumptions about the physical phenomena. The multi-model ensemble (MME) approach can improve the uncertainties associated with the different GCM outcomes. In this study, a comprehensive rating metric was used to select the best-performing GCMs out of 11 CMIP5 and 13 CMIP6 GCMs, according to their skills in terms of four temporal and five spatial performance indices, in replicating the 21 extreme climate indices during the baseline (1975-2017) in South Korea. The MME data were derived by averaging the simulations from all selected GCMs and three top-ranked GCMs. The random forest (RF) algorithm was also used to derive the MME data from the three top-ranked GCMs. The RF-derived MME data of the three top-ranked GCMs showed the highest performance in simulating the baseline extreme climate which was subsequently used to project the future extreme climate indices under both the representative concentration pathway (RCP) and the socioeconomic concentration pathway scenarios (SSP). The extreme cold and warming indices had declining and increasing trends, respectively, and most extreme precipitation indices had increasing trends over the period 2031-2100. Compared to all scenarios, RCP8.5 showed drastic changes in future extreme climate indices. The coasts in the east, south and west had stronger warming than the rest of the country, while mountain areas in the north experienced more extreme cold. While extreme cold climatology gradually declined from north to south, extreme warming climatology continuously grew from coastal to inland and northern mountainous regions. The results showed that the socially, environmentally and agriculturally important regions of South Korea were at increased risk of facing the detrimental impacts of extreme climatology.

• Asian Journal of Innovation and Policy
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• 제10권3호
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• pp.380-403
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• 2021

Recently, smart factories have gained significant importance since the development of the fourth industrial revolution and the rise of global industrial competition. Therefore, the industries' survival to meet the global market trends requires accurate technological planning. Although, different works are available to investigate forecasting technologies and their influence on the smart factory. However, little significant work is available yet on the analysis of technological trends concerning the smart factory, which is the core focus herein. This work was performed to analyze the technological trends of the smart factory, followed by a detailed investigation of recent research hotspots/frontiers in the field. A well-known topic modeling technique, namely Latent Dirichlet Allocation (LDA), was employed for this study described above. The technological trends were further strengthened with the in-depth analysis of a smart factory-based case study. The findings produced the technological trends which possess significant potential in determining the technological strategies. Moreover, the results of this work may be helpful for researchers and enterprises in forecasting and planning future technological evolution.

• 한국전자거래학회지
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• 제19권3호
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• pp.51-64
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• 2014

기업은 생존을 위해 수많은 정보 속에서 빠르게 상황을 인식하고 미래를 예측하기 위해 정량데이터 분석뿐만 아니라 비정형데이터 분석에 대한 관심이 높아지고 있으나, 철강산업에서는 아직 활발하게 활용되지는 못하고 있다. 이에 본 연구에서는 글로벌 철강회사인 P사(社)의 사례를 중심으로 텍스트 마이닝을 이용한 산업트렌드 분석을 시도해 경쟁사 전략, 관심국가의 시장변화, 해외사업장 여론 등을 파악 하는데 기여할 수 있다는 가능성을 발견하였다. 사례 분석은 철강산업을 10개의 카테고리로 분류하고 각각 10개의 주제를 선정하여 분석을 시도하고, 이중 의미 있는 변화를 발견하면 심층 분석하는 형태로 진행하였다. 이번 P사(社)의 사례를 통해 텍스트 마이닝을 통한 산업트렌드 분석이 더 의미 있기 위해서는 목적을 명확히 하고, 관련 키워드를 체계화한다면 경쟁사 전략 파악, 리스크관리, 정량데이터 예측 보정 등 많은 부분에 기여할 수 있을 것으로 기대한다.

• 경영과학
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• 제28권3호
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• pp.143-159
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• 2011

Recently, the level of uncertainty in R&D investment for an enterprise has increased due to technological development and industrial changes. Accordingly it is necessary for an enterprise to forecast the future or foresight the future technologies. But, the fact that the methodology used in predicting future technology is suitable for large project makes enterprise difficult to forecast the future technologies or trends. Thus, this study seeks for available methodology for future technology foresight from enterprise standpoint. The methodology proposed in this research is based on the scenario model, especially focused on the customer needs and future society change.

• 한국산학기술학회논문지
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• 제22권1호
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• pp.214-220
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• 2021

소형 무인 지상 차량은 폭발물 제거 작전, 대테러 작전, 화재 진화 및 소방정찰, 재해·재난지역 정찰 및 접적 지역 감시 등의 위험한 임무를 수행하기 위해 사용되고 있다. 기술 선도국인 미국, 영국, 프랑스, 독일, 이스라엘 등에서는 군사 분야뿐만 아니라 민간 분야에서 활용하기 위해 다양한 무인 지상 차량을 개발하여 운용하고 있다. 개발된 체계는 실 운용 과정에서 수집된 데이터와 연관된 추가 요구사항을 기반으로 더욱 업그레이드되고 있으며, 향후 소형 무인 지상 차량 개발에 있어 기술 선도국의 개발 동향은 중요한 지표로 활용될 수 있다. 본 연구에서는 기술 선도국에서 운용 중인 소형 무인 지상 차량의 개발 동향 및 임무를 분석하였다. 군사 및 민간 분야에서 다양한 임무를 수행하고 있는 소형 무인 지상 차량을 대상으로 체계에 적용된 정찰 능력, 특수기능 등의 능력과 다양한 임무 형태에 따른 체계 운용 목적을 분석하였다. 기술 선도국의 소형 무인 지상 차량 개발 동향을 토대로 향후 군사 및 민간 분야에서 소형 무인 지상 차량 개발에 필요한 기능 및 설계 특성에 대해 논한다.

• 산업융합연구
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• 제22권1호
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• pp.65-73
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• 2024

본 논문은 조직유효성에 대한 최근 20여년간의 주요 연구 동향을 파악하는데 있다. 이에 Elsevier에서 제공하는 해외 학술 데이터베이스인 SCOPUS를 활용하여 최근 24년간(2000~2023) 조직유효성의 연구 동향을 파악하였다. 빈도 분석결과, organizational 2,789건, effectiveness 2,714건, management 850건, performance 689건, organizations 632건, leadership 597건 순으로 나타났다. 트랜드 분석 결과. effectiveness와 organizational은 꾸준하게 연구가 진행되고 있으나, leadership, management의 트랜드는 최근 들어서는 다소 감소하고 있는 것으로 나타났다. LDA 분석 결과 effectiveness와 organizational이 중요한 토픽으로 나타났는데, 이는 현재와 같이 미래를 예측하기 어려울 때 사전에 예측하는 능력이 중요하다는 것을 보여주고 있다. 본 연구결과는 기업에서 전략적인 차원으로 조직의 운영방안을 수립하고 이를 통해 조직의 유효성을 높이는데 있어 지침으로 활용이 가능할 것으로 보인다.

• 한국IT서비스학회지
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• 제6권3호
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• pp.179-193
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• 2007

Mobile Internet Service has been accelerated in ubiquitous computing environment. The purpose of this study is to suggest the patterns of mobile internet services based upon the current and future environments. The types of mobile internet service are explicated on the basis of current and future usage. A two-dimensional framework using level of timeliness and service purpose is utilized for classifying mobile internet service. Future trends of mobile internet service are carefully suggested.

• 대한인간공학회지
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• 제31권1호
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• pp.131-135
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• 2012

Objective: The aim of this study is to gain an overview of the ergonomic research trends in the shipbuilding industry. Background: The number of ergonomic studies on the shipbuilding industry has increased significantly in recent years. Method: Various ergonomic papers on the shipbuilding industry have been reviewed to find ergonomic research trends. Results: The tendency observed in these studies shows that the work-related musculoskeletal disorders(WMSDs) is the most important research subject in the shipbuilding industry. Conclusion: The previous studies, focused on the physical aspects of the work, are now replaced by studies such as organizational and psychophysical studies. Application: These results can be used to provide baseline information for ergonomic research in the shipbuilding industry.

• 한국실내디자인학회논문집
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• 제17호
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• pp.173-180
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• 1998

The aim of the study was to grasp the current trends and to predict the future trends of space composition characteristics by analyzing floorplans drawn by housewives as their ideal apartments. The content analysis method was used for this study. This research used data from a competition held in 1993 by a housing construction company. Among 3,102 floorplans collected 12,232 were selected by Proportional Stratified Sampling Method. The major findings are as follows; 1) Some major features were interpreted as current trends; respondents wanted new rooms that could accomodate various functions separated the private spaces from public trends; they wanted to expand the verandah both visually and actually put importance on the number of bathrooms and have the space for outdoor living and leisure activities.