• Title/Summary/Keyword: 그린효과

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Quantification of triterpenes in Centella asiatica cultivated in a smart farm, and their effect on keratinocyte activation (스마트팜 재배 병풀의 triterpenes 정량 및 각질형성세포 활성화 효과)

  • Jin Hong Park;Seong Min Jo;Da Hee Lee;Youngmin Park;Hwan Bong Chang;Tae Jin Kang;Kiman Lee
    • Food Science and Preservation
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    • v.30 no.3
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    • pp.483-491
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    • 2023
  • This study aimed to compare the bioactive compounds in Centella asiatica (C. asiatica) cultivated in a smart farm and a field and their effects on human keratinocyte cells. C. asiatica was collected in Jeju-do, Korea, and cultured in a smart farm and a field. The main bioactive compounds in the two differentially cultured C. asiatica were identified, and their activation in keratinocytes were assessed. Amplification and sequencing of the internal transcribed spacer (ITS) DNA in the nucleus and psbA-H DNA in the chloroplast were performed for species analysis. A comparison of DNA of plants reported in the NCBI GenBank was performed. The ITS DNA and psbA-H DNA sequences of C. asiatica cultivated in a smart farm and a field were consistent with No. MH768338.1 and No. JQ425422.1, respectively. Analysis of the triterpenes was performed using high performance liquid chromatography (HPLC) and as a result, C. asiatica cultured in a smart farm had more triterpenes than those cultured in a field. The effects of C. asiatica grown in a smart farm on cell proliferation and scratch recovery in HaCaT cells were greater than those grown in a field. These results suggest that C. asiatica cultivated in a smart farm can be effectively utilized as a health functional food.

A Location-based Green Home Service using a Smart Phone (스마트폰을 활용한 위치 기반 그린 홈 서비스)

  • Choi, Jin-Yeop;Jeon, Byoung-Chan;Lee, Sang-Jeong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.89-97
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    • 2012
  • In recent years, efficient energy management technologies are required, as environmental problems have emerged worldwide. In response to this, smart home services focused on efficient energy management technology seems to be emerging. And the integration of technology of user-oriented real-time energy monitoring and control systems is required. In this paper, we present a location-based green home service using smart phones for efficient energy management in a house. We design a green home network system to apply the green home service, and implement an integrated gateway system which connects and controls each appliance in a house. We develop appliance control services and indoor location services on smart phones, and determine whether user's occupancy of each room by measuring the location according to the variation of signal strength. In order to evaluate the performance of the energy savings, we have set up the scenarios of energy usage pattern and have compared the energy variation resulting from the application of the indoor location services with smart meters. A comparison of energy usage demonstrated that the energy saving of a house with the proposed location-based green home service was down up to 30%.

Strategic GSCM of the Multinational Enterprises and its impact on the Market Performance (다국적기업의 전략적 그린 SCM 구축과 시장성과에 관한 실증적 연구)

  • Kim, Gil-Sung
    • International Area Studies Review
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    • v.15 no.3
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    • pp.513-532
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    • 2011
  • Green supply chain management(GSCM) has emerged as a key approach for firms seeking to become sustainable environmentally. GSCM is a system in which the firm takes life cycle responsibility of the products through material recycling, environment-friendly production, and reverse logistics in addition to the classical operations in a supply chain. This paper endeavors to identify the relationship between the GSCM practice implementation and firms' performance among a sample of Korean manufacturing firms. Based on a literature review, eight hypotheses are put forward. First of all, a factor analysis was conducted to derive groupings of GSCM practice from the survey data which included 54 responses. Then, the first regression was conducted to examine the link between GSCM practice implementation and firms' financial performance. The result shows that green purchasing and green production are significant. The second regression was conducted to examine the impact of GSCM practice implementation on the firms' competitiveness. The result reveals that green purchasing, green production, and reverse logistics are positively signifiant.

A study on the rainfall-runoff reduction efficiency on each design rainfall for the green infrastructure-baesd stormwater management (그린인프라 기반 빗물 관리를 위한 설계강우량별 강우-유출저감 효율성 분석 연구)

  • Kim, Byungsung;Kim, Jaemoon;Lee, Sangjin
    • Journal of Korea Water Resources Association
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    • v.55 no.8
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    • pp.613-621
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    • 2022
  • Due to the global climate change, the rainfall volume and frequency on the Korean Peninsula are predicted to increase at the end of the 21st century. In addition, impervious surface areas have increased due to rapid urbanization which has caused the urban water cycle to deteriorate. Green Infrastructure (GI) researches have been conducted to improve the water cycle soundness; the efficiency of this technique has been verified through various studies. However, there are still no suitable GI design guidelines for this aspect. Therefore, the rainfall scenarios are set up for each percentile (60, 70, 80, 90) based on the volume and frequency analysis using 10-year rainfall data (Busan Meteorological Station). After determining the GI areas for each scenario, the runoff reduction characteristics are analyzed based on Storm Water Management Model (SWMM) 10-year rainfall-runoff-simulations. The total runoff reduction efficiency for each GI areas are computed to have a range of 13.1~52.1%. As a results of the quantitative analysis, the design rainfall for GI is classified into the 80~85 percentile in the study site.

Assessment of Microbial Decomposition in Soil Organic Matter Accumulation with Depth in Golf Greens (골프장 그린에서 토심별 토양 유기물 집적에 대한 미생물 분해성 평가)

  • Huh, Keun-Young;Kim, In-Hea;Deurer, Markus
    • Journal of the Korean Institute of Landscape Architecture
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    • v.37 no.4
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    • pp.64-71
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    • 2009
  • Excessive soil organic matter (SOM) is detrimental to turfgrass quality when used intensively in sand-based root zones, thereby affecting the sustainability of turfgrass systems. As part of a major project examining the sustainable management of SOM on golf greens, microbial decomposition on soil organic matter accumulation with depth was assessed and the effect of soil air-condition improvement and Ca fertilization was investigated by soil microbial respiration (SMR). Three soil samples from three depths(0~5, 5~10, and 10~15cm) of 5 year and 30 year old green were analyzed for SOM content. In 30 year old green, SMR and dehydrogenase activity(DHA) were analyzed to assess the soil microbial decomposition with depth. It was then divided into 4 plots: untreated as a control, dolomite-treated, 0~5cm deep section-removed, and 0~5 cm deep section-removed+dolomite-treated. After treatment, three soil samples were taken at 1, 2 and 4 weeks by the above-mentioned method, and analyzed for SMR to better understand SOM decomposition. SOM accumulation in the 0~5cm depth of golf greens can be controlled by intensive cultivation such as coring, but below 5cm is more difficult as the results showed that SOM content below 5cm increased over time. Soil microbial decomposition of organic matter will be necessary to reduce SOM accumulation, but SMR below 5cm was low and wasn't significantly altered by increasing exposure to air and fertilizing with Ca. As a result, aeration treatments such as coring and Ca fertilization might not be effective at improving soil microbial decomposition below 5cm depth in aged greens.

Design of Urban Area by Low Impact Development and Effect Analysis for Stormwater Management (도시유역의 LID 설계와 우수관리 효과)

  • Lee, Sangjin;Kang, Taeuk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.142-142
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    • 2015
  • 저영향개발 기법은 유역개발에 따른 수문 및 환경적 영향을 최소화하기 위해 자연상태를 가급적 보존하고 불투수 면적을 최대한 줄이며, 우수발생 지점에서부터 소규모로 우수를 관리하는 분산식 우수배제 방식을 지향한다. 본 연구의 목적은 이러한 저영향개발 기법을 이용한 도시유역의 우수관리에 관한 효과를 기술적, 경제적 관점에서 정량적으로 평가하는 것이다. 이를 위해 기존 개발 방식으로 계획된 송산 그린시티 동측지구에 저영향개발 기법을 적용하였고, 결과를 기존 개발 방식과 비교하여 저영향개발 기법의 효과를 분석하였다. 대상유역에 대하여 저영향개발 기법을 적용하기 위해 분산식 우수배제 방식을 도입하였고(그림 1), 식생수로와 인공습지 등의 저영향개발 요소기술을 적용하였다(그림 2). 연구에서는 SWMM을 이용하여 저영향개발 기법과 기존 개발 방식에 의한 우수관리를 각각 모의하였고, 모의 결과를 홍수, 물순환, 비점오염 저감의 관점에서 비교 검토하였다(그림 3과 4). 또한, 개략 공사비 산정을 통해 기존 개발 방식 대비 저영향개발 기술의 경제적 효과를 분석하였다. 그 결과, 저영향개발 기법을 적용할 경우, 상대적으로 저 비용으로도 기존 개발 방식에 의한 우수관리보다 더 높은 효과를 달성할 수 있는 것으로 분석되었다.

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A Freeze-drying Formulation and Target Specificity of Double-stranded RNA-expressing Bacteria to Control Insect Pests (Double-stranded RNA 발현 세균의 동결건조 제형화와 적용 대상 해충 선택성)

  • Kim, Eunseong;Kim, Yonggyun
    • Korean journal of applied entomology
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    • v.55 no.2
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    • pp.81-89
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    • 2016
  • Double-stranded RNA (dsRNA) has been applied to control insect pests by its suppressive activity against specific target genes. Integrin is a heterodimer (${\alpha}$ and ${\beta}$) transmembrane protein and plays a critical role in cell-to-cell or cell-to-extracellular matrix interactions in eukaryotes. Suppression of ${\beta}$ subunit integrin gene expression by its specific dsRNA (= dsINT) induces significant mortality against target insects. Furthermore, a recombinant bacterium expressing dsINT is potent to kill target insects. However, it is necessary to develop a formulation technique of the dsRNA-expressing bacteria to apply the bacterial insecticide against field populations. This study formulated the recombinant bacteria by freeze-drying and tested its control efficacy against target insects. The formulation maintained significant insecticidal activity against last instar larvae of Spodoptera exigua. While a commercial Bacillus thuringiensis (Bt) insecticide exhibited only about 60% insecticidal activity against S. exigua last instar, an addition of the dsINT-expressing bacterial formulation significantly enhanced the Bt insecticidal activity. The dsINT-expressing bacterial formulation exhibited relative selectivity to target insects depending on sequence similarity. These results indicate that a freeze-dried form of dsRNA-expressing bacteria keeps its insecticidal activity.

Automatic Algorithms of Rebar Quantity Take-Off of Green Frame by Composite Precast Concrete Members (합성 PC부재에 의한 그린 프레임의 철근물량 산출 자동화 알고리즘)

  • Lee, Sung-Ho;Kim, Seon-Hyung;Lee, Goon-Jae;Kim, Sun-Kuk;Joo, Jin-Kyu
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.1
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    • pp.118-128
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    • 2012
  • As the bearing wall structure, which has been widely applied to domestic apartment buildings since the 1980s, cause many problems during remodeling of buildings, the government encourages constructors to adopt flat plate or rahmen structure through legal incentives. In line with such a trend, the green frame, an eco-friendly rahmen structure that has removed the shortcomings of previous structures, was developed to enhance structural safety, constructability, and eco-friendliness. The construction of green frame can reduce the labor cost and facilitate the composition of iron bars to reduce rebar loss through calculating the quality and establishing the bar bending schedule automatically on the precast concrete member data collected over the design phase. Therefore, the purpose of this study is to develop the algorithm to automate the calculation of iron bar volume for the green frame designed on composite precast concrete members. Automated algorithm to calculate concrete structural design information and design information. Practices through the application site should prove efficacy. The database established by the developed algorithm will automate the establishment of iron bar processing map and bar cutting list and the calculation of optimal composition and order volume to minimize the rebar loss. This will also reduce the expenses on management staff and overall construction cost through the minimization of rebar loss.

Development of Anti-aging from Natural Materials by Inhibition of UV Stimulating (자외선 자극에 의한 피부노화 억제 천연물 소재 개발)

  • Dang, Su-Min
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.251-257
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    • 2021
  • ln this study, natural extracts extracted from cypress sapiens, a natural material, were investigated as materials that could protect skin aging caused by ultraviolet rays, and experiments were conducted on the synthesis of filaggrins that make up the natural moisturizing factor of the skin, the synthesis of pro-colagen, a fibrous protein, which plays an important role in moisturizing the dermis, and elastin, which is an enzyme that decomposes collagen. As a result, cypress ethanol extract (COE) was a dependent inhibitor to collagenase and elastase, inhibiting the synthesis of filaggrin and the expression of MMP-1 for exfoliated cells damaged by ultraviolet rays. Therefore, it is estimated that ethanol extract will have the effect of delaying wrinkles and as a functional cosmetic material that inhibits skin aging convergence. Based on this study, we would like to further study the mechanism of the synthesis of filaggrin on the suppression of expression of MMP, which is the anti-wrinkle effect.

Green Chroma Keying for Robot Performances in Public Places (공공장소에서 로봇 공연용 그린 크로마키 합성)

  • Hwang, Heesoo
    • Journal of the Korea Convergence Society
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    • v.8 no.7
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    • pp.7-13
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    • 2017
  • Robot performances in public places are conducted for the purpose of promoting robot technology and inducing interest in events, exhibitions, and streets instead of dedicated stages. This paper extracts robot images in real time from a robot operation in front of a green chroma key cloth, and synthesizes them on various stage images. A simple and robust method for extracting a foreground robot from a chroma key background without a user's preset is proposed. After increasing the color difference between the background and the foreground, this method automatically removes the background based on the histogram of the difference information, thereby eliminating the need for a user's preset. The simulation shows 98.8% of foreground extraction rate and experimental results demonstrate that the robots can effectively be extracted from the background.