• Proceedings of the Korean Society of Community Living Science Conference
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• 2009.09a
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• pp.95-95
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• 2009

우리나라를 비롯한 동양문화권에서는 천연 약용식물자원의 이용을 통하여 전통적으로 지역 보건향상을 도모해 왔으며 최근 성인병과 난치병 해결을 위한 대체의학에 대한 관심이 증가하면서 약용식물자원을 이용한 건강기능식품 분야가 주목되고 있다. 약용식물자원은 민간에서 약선음식 등에 널리 활용되고 있지만 원료 농산물을 그대로 이용하는 수준으로 광범위한 적용성을 가지는 약선식품용 소재화 기술개발은 약용식물자원의 소비촉진에 크게 기여할 것으로 기대된다. 본 연구에서는 약선식품용 식품소재 개발의 일환으로 약용식물자원의 배합비와 추출물의 제형이 품질특성에 미치는 영향을 조사하였다. 스트레스 경감기능을 보유하는 약용식물자원은 고문헌에 기초하여 선정하였으며 약선원리에 따라 소정의 조건으로 3종(CLP 1, CLP 2, CLP 3) 배합비를 설정하였다. 추출물은 온도를 달리한 열수에 추출하고 유동Ext, 분무건조분말 및 과립으로 제형화 하였고 품질특성은 폴리페놀함량, 용해도, 투과도 및 색도특성을 분석하였다. 약용식물자원 혼합 추출물의 수율은 CLP 2가 65%로 가장 많았으며 1차 추출에서 76%의 수율을 보였고 추출시간대비 수율은 상업적 추출의 경우가 가장 높았다. 유동 Ext의 폴리페놀함량은 CLP 2가 g 당 11~13 mg을 함유하여 가장 많았고 CLP1과 CLP 2는 동등한 수준을 나타냈다. 유동 Ext는 99%의 용해도를 보였으며 투과도는 CLP 3가 52~68%로 가장 낮았으며 추출조건에 따라 색도가 차이가 있었다. 분말형태의 경우 폴리페놀 함량은 분무건조로 제조한 CLIP 2가 15.40mg/g으로 가장 많았다. 부형제로 과립화한 CLP 3가 g당 1.7 mg으로 가장 적었다. 분무건조분말은 98~99%의 용해도를 보였으며 부형제를 사용하여 분무건조하거나 과립화한 시료는 투과도와 명도가 높았으며 적색도와 황색도 및 갈색도가 낮았다. 이상의 결과는 약용식물자원 혼합 추출물은 원료의 조합비와 추출물의 제형은 식품소재화에 따른 품질특성의 영향인자로 작용함을 나타낸다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.21-27
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• 2020

The purpose of this study is to investigate the ecosystem structure underlying the development of artificial intelligence technology and related industries. In addition, the research on the AI business ecosystem based on AI technology and the ways to activate them was discussed. Ecosystems play a role in organically connecting producers, consumers, and decomposers. In the AI ecosystem, we classified the AI service producers, producers of AI services using the produced services, and data and related infrastructure services that are the basis of AI services. Stakeholders in the AI business ecosystem are the government and various private organizations that have a direct or indirect influence on AI service production, consumption, and operation. In Korea, in particular, the government plays a role as the most influential stakeholders. For example, the company contributes to the increase of producers, which are related to human resource development, and plays a catalyst role in the increase of services produced by R & D funding. In this study, the policy for revitalizing the AI business ecosystem includes (1) securing the environment for increasing producers, (2) spreading AI awareness among consumers, (3) securing data exchange and supply infrastructure, and (4) supporting services and related laws. Secure the system. This study is meaningful in that it contributes to and contributes to the construction of domestic AI-based environment and related research.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.1
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• pp.23-28
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• 2004

The aim of this study is to assess the anti-irritation activities of mung bean (Phaseolus aureus) extract against various irritants used in cosmetics. For its antidotal activity, mung bean has been used as a medicinal or cosmetic material since ancient times. However, there have been few reports describing the biological activities of these beans and no comprehensive surveys of the constituents. We obtained an ethanolic extract of mung bean and isolated the major constituents, such as vitexin and isovitexin. And we previously reported that the mung bean extract containing vitexin and isovitexin had excellent antioxidant and anti-inflammatory activities. To investigate the mechanisms of anti-inflammatory activity of mung bean extract, we examined the inhibitory effects on histamine release from rat peritoneal mast cells and lipoxygenase activity. Mung bean extract inhibited histamine release in a concentration dependent manner but showed no inhibitory activity in the 5-lipoxygenase assay. And, clinical studies were conducted to evaluate the anti-irritation effects of mung bean extract against various irritants used in cosmetics such as lactic acid, retinol, and preservatives. When 2.0％ of mung bean extract was applied to cosmetic formulae containing each of irritants, it revealed considerable anti-irritation efficacy. Our results of the human patch test with 20 volunteers showed that this extract reduced skin irritations caused by 5.0％ lactic acid, 4000 IU retinol, and 1.0％ preservative mixture by about 60％, 30％, and 50％ respectively. The stinging potential test for assessing subjective irritation also showed that the extract reduced the unpleasant sensations by about 50∼30％. Finally, we performed a double-blind usage test with 30 subjects to compare formulae containing mung bean extract with placebo. From the results of questionnaires for 4 weeks of use, we confirmed the excellent anti-irritation effect of mung bean extract. Conclusively, we could discover new material that had anti-irritation effects and apply this mung bean extract to the final cosmetic products successfully.

• Journal of Navigation and Port Research
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• v.33 no.8
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• pp.563-572
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• 2009

The steel industry, as the national representative strategic industry of our country, has played the motive power for the economic growth of Korea in 1970s as the positive support of the government and the management endeavor of the private were harmonized. However, in case of our country, we have mostly relied on import of the raw materials for the steel industry, and as the weight of the imported raw materials is heavy, the steel industry is the industry whose transport burden is big as it is called 'transport industry'. So, the transport rationalization will be the important task of the steel industry. This study has analyzed the economic efficiency per the transport route (container ship vs bulk ship) of the sea transport related to import/export of the steel scrap on the level acquiring the stable supply of the steel scrap. For this, this study firstly researched the status of domestic/foreign steel industry. And analyzed the world crude steel production volume, steel scrap consumption volume and world steel scrap trading structure. Also, in order to compare the transport logistics expenses between two transport devices, namely, container ship and bulk ship, this study calculated the logistics expenses per ton by using the traffic hours and traffic expenses items as the imported/exported scrap freights of 'D' company.

• Journal of Food Hygiene and Safety
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• v.27 no.4
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• pp.339-348
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• 2012

The purpose of this study is to predict the economic size of foods-for-elderly market, which will be valuable information for establishing related policy and backup system. After setting the scope of related industry, detailed information for current market situation was investigated and a systematic forecast for market changes in the future was performed. Economic growth, changes in consumer expenditure and economic status of the elderly, current subscription of medical insurance and saving for pension were reflected. In addition, a survey toward related firms was completed and changes in aged population and incidence of chronic disease in the elderly were taken into account. Results show that the annual growth rate of the market was predicted to be the minimum 4.54% through the maximum 8.32% from 2010 to 2025 and its market size was forecasted to be the minimum 7,073 ten million won through the maximum 10,976 ten million won. It is expected that the market of foods-for-elderly will grow rapidly with development of foods technology and fast increase of aged population. Especially, growth of health functional foods and foods for special dietary uses for elderly will be distinguished. However, it seems that related firms are on the hedge, watching current trend of the related industry. This may results in insufficient supply against the demand. Therefore, policy for foods-for-elderly should be introduced and systematically administered, including R&D support, standardization and authentication for foods-for-elderly, construction of related database system.

• Food Science and Industry
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• v.53 no.2
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• pp.235-247
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• 2020

Current status of the domestic food industry and major issues are reviewed, and some problems derived from the R&D aspect are analyzed. Particularly, the role of the public sector and the direction of R&D are presented in order to enhance the vitality of the food industry and strengthen the competitiveness of small and medium-sized businesses. At first, the government needs to provide a consistent R&D roadmap through macroscopic coordination, and public institutes and private companies should come up with practical and concrete collaborative measures. It is also necessary to set the investment direction for food R&D in the public sector, taking into account the strategic importance of core technology and the global level difference, targeting on basic research and public platform technology. More efforts to discover agendas focused on food technology and link them to large-scale R&D projects are urgently needed to solve national and social problems through food research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.548-557
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• 2021

The purpose of this study was to determine the statistical usefulness of using atypical text data collected from media that are easy to collect to overcoming limits of the existing data related to economic activities of disabled people. In addition, by performing semantic network analysis, major issues by period that could not be grasped by statistical analysis were also identified. As a result, semantic network analysis revealed that the initiative of the public sector, such as the central and local government bodies, was strongly shown. On the other hand, in the private purchase sector, it was also possible to confirm the consumption revitalization trend and changes in production activities in the recent issue of Covid-19. While the term "priority purchase" had a statistically significant relation with the other two terms "vocational rehabilitation" and "employment for the disabled". For the regression results, while the term "priority purchase" had a statistically significant association with the other two terms "vocational rehabilitation" and "employment for the disabled". Further, some statistical analyses reveal that keyword data taken from media channels can serve as an alternative indicator. Implications for issue detection in the field of welfare economy for the disabled is also discussed.

• Economic and Environmental Geology
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• v.55 no.2
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• pp.149-169
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• 2022

Indonesia coal is widely consumed as a major energy source in Asian countries, such as China, India, and Korea. In the paper, the characteristics of the coal-bearing basin and coal deposits in Indonesia are comprehensively reviewed using the exploration data accumulated through the coal exploration projects supported by Korean government subsidy. Cenozoic coal bearing sedimentary basins in Indonesia extensively contain coal deposits and are most productive in East Asia. Properties of coal deposits are variable depending on stratigraphy, depositional histories and tectonics. Eocene coal deposits tend to have thinner coal thickness and fewer numbers of coal seams, but have been major exploration targets due to higher calorific value and good coal quality. Late Oligocene-Early Miocene coal deposits occur in small scales, but are suitable enough for small to medium-sized coal mines. Miocene-Pliocene coal deposits, which are widely distributed across East Kalimantan and Sumatra, are being actively mined by taking advantage of thick coal thickness and abundant reserves in spite of their lower calorific values. The experience of various exploration informs that we need to have an overall understanding on geological conditions for successful coal exploration. The details on coal-bearing basin and coal deposits in Indonesia provided through the paper will be useful data for up-coming exploration activities by Korean companies.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.214-223
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• 2022

The purpose of this study is to present a new industrial land demand prediction method that can consider external economic factors. The analysis model used ARIMA-X, which can consider exogenous variables. Exogenous variables are composed of macroeconomic variable, Business Survey Index, and Composite Economic Index variables to reflect the economic and industrial structure. And, among the exogenous variables, only variables that precede the supply of industrial land are used for prediction. Variables with precedence in the supply of industrial land were found to be import, private and government consumption expenditure, total capital formation, economic sentiment index, producer's shipment index, machinery for domestic demand and composite leading index. As a result of estimating the ARIMA-X model using these variables, the ARIMA-X(1,1,0) model including only the import was found to be statistically significant. The industrial land demand forecast predicted the industrial land from 2021 to 2030 by reflecting the scenario of change in import. As a result, the future demand for industrial land was predicted to increase by 1.91% annually to 1,030.79 km². As a result of comparing these results with the existing exponential smoothing method, the results of this study were found to be more suitable than the existing models. It is expected to b available as a new industrial land forecasting model.

• Economic Analysis
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• v.27 no.4
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• pp.1-42
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• 2021

The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.