• 제목/요약/키워드: Green Data Center

검색결과 310건 처리시간 0.036초

냉·난방도일에 따른 건물에너지 사용량 보정기법 개발 (The Development of the Calibration Method of Building Energy Consumption by HDDm and CDDm)

  • 김동일;이병호
    • 한국태양에너지학회 논문집
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    • 제38권6호
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    • pp.15-26
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    • 2018
  • It is difficult to check the exact building energy consumption reduction such as when green remodeling of buildings, because it is due to outdoor air temperature over the years. And in Korea although Big Data of building energy consumption is collected and managed through "The Information System of the Building Energy and Greenhouse Gases" it is underutilized because of non calibration of outdoor air temperature change. Therefore, this study aims to develope calibration method of building energy consumption by outdoor air temperature according to micro climates, and building use types. As a result of analysis, Regression equations of Building energy consumption and $HDD_m/CDD_m$ are derived and calibration method is developed by Regression coefficient.

Purchase Intention of Green Products Following an Environmentally Friendly Marketing Campaign: Results of a Survey of Instagram Followers of InnisfreeIndonesia

  • Dewi, Wayan Weda Asmara;Avicenna, Fitria;Meideline, Maria Magdalena
    • Asian Journal for Public Opinion Research
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    • 제8권2호
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    • pp.160-177
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    • 2020
  • In Indonesia, concern about environmental protection is increasing. Thus, companies not only adjust their products but also create promotion strategies with environmentally friendly messages, called green marketing. This study identifies the effect of green marketing on purchase intentions. A quantitative method with an explanatory design was conducted. Data was gathered online. In this study, the population was @InnisfreeIndonesia Instagram followers. Thus, a direct message with the survey invitation was sent to randomly selected Instagram followers. Additional followers were invited daily for about a month until 100 responses were collected. The majority of respondents were Indonesian females, age 21-25. The results show that green products partially influence purchase intentions. Once consumers consider environmental friendly issues before buying a skin care product, they may identify whether the product is toxic-free, environmentally friendly, and holds a certification that identifies it as such. Thus, potential consumers tend to seek information to set expectations about the product they want to buy, prioritize them over other products, and to refer the product to others.

대구.경북지역 중학생의 녹색식생활에 대한 지식, 행동 및 교육내용 요구도 분석 (Analysis on knowledge, behaviors, and educational content need regarding green dietary life among middle school students in Daegu and Gyeongbuk region)

  • 윤재선;김효정;김미라
    • 한국가정과교육학회지
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    • 제25권4호
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    • pp.13-27
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    • 2013
  • 본 연구는 녹색식생활 교육 프로그램 개발 및 효과적인 시행에 필요한 기초 자료를 얻기 위하여 대구 경북 지역에 있는 중학생 246명을 대상으로 설문조사하여 녹색식생활에 대한 지식, 행동 수준 및 이에 영향을 미치는 요인을 살펴보고 녹색식생활에 대한 교육내용 요구도를 분석하였다. 본 연구자료는 SPSS Windows V.21.0 프로그램을 이용하여 분석되었다. 조사대상자의 녹색식생활에 대한 지식 정답률과 녹색식생활에 대한 행동 수준은 높지 않았으며, 각 영역별 수준을 살펴보면 녹색식생활에 대한 지식에서는 건강, 환경 순이었고, 녹색식생활에 대한 행동은 건강, 환경, 배려 순으로 나타났다. 중회귀분석 결과 녹색식생활에 대한 지식에 영향을 미치는 유의한 변수는 학년이었고, 녹색식생활에 대한 행동에 영향을 미치는 변수는 월평균 용돈(6만~9만원 미만), 가정형편(중), 녹색식생활에 대한 지식이었다. 녹색식생활에 대한 교육내용 요구도에서는 정상체중을 유지하는 방법에 대한 점수가 가장 높았고 그 다음으로는 쓰레기 분리수거 방법, 환경오염을 막기 위한 방법, 건강에 유익한 식품과 식단, 우리나라의 전통 음식 순이었다. 녹색식생활에 대한 지식이 녹색식생활에 대한 행동에 정적으로 영향을 미치는 것으로 나타나서 중학생들의 녹색식생활 행동 수준을 높이기 위해서는 녹색식생활에 대한 지식을 높이도록 교육이 실시될 필요가 있는 것으로 나타났다. 또한 녹색식생활에 대한 교육내용 요구도가 모든 항목에서 대체로 높게 나타났으므로 학교에서는 학생들의 교육적 요구에 부응하는 교육내용을 개발해야 할 것으로 보인다.

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인체의 동작의도 판별을 위한 퍼지 C-평균 클러스터링 기반의 근전도 신호처리 알고리즘 (Movement Intention Detection of Human Body Based on Electromyographic Signal Analysis Using Fuzzy C-Means Clustering Algorithm)

  • 박기원;황건용
    • 한국멀티미디어학회논문지
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    • 제19권1호
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    • pp.68-79
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    • 2016
  • Electromyographic (EMG) signals have been widely used as motion commands of prosthetic arms. Although EMG signals contain meaningful information including the movement intentions of human body, it is difficult to predict the subject's motion by analyzing EMG signals in real-time due to the difficulties in extracting motion information from the signals including a lot of noises inherently. In this paper, four Ag/AgCl electrodes are placed on the surface of the subject's major muscles which are in charge of four upper arm movements (wrist flexion, wrist extension, ulnar deviation, finger flexion) to measure EMG signals corresponding to the movements. The measured signals are sampled using DAQ module and clustered sequentially. The Fuzzy C-Means (FCMs) method calculates the center values of the clustered data group. The fuzzy system designed to detect the upper arm movement intention utilizing the center values as input signals shows about 90% success in classifying the movement intentions.

Streaming Gas Clouds associated with the Circumnuclear Disk (CND) of our Galactic Center

  • Minh, Young Chol
    • 천문학회보
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    • 제40권1호
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    • pp.41.3-41.3
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    • 2015
  • The supermassive black hole (SMBH) of our Galactic Center is surrounded by the circumnuclear disk (CND) in the radii of about 2-3 pc. New data from the Submillimeter Array and Green Bank Telescope clearly reveal the irregular and clumpy structures of the CND and its surroundings which may be a dynamically evolving integrated system. The CND seems to be the convergence of the various gas streamers inflowing, shaped mostly via local disturbances associated with, rather than a quasi-stationary stable structure.

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한국의 그린 비즈니스/IT 실태분석을 통한 추진전략 우선순위 도출에 관한 연구 (Development of Korean Green Business/IT Strategies Based on Priority Analysis)

  • 김재경;최주철;최일영
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.191-204
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    • 2010
  • Recently, the CO2 emission and energy consumption have become critical global issues to decide the future of nations. Especially, the spread of IT products and the increased use of internet and web applications result in the energy consumption and CO2 emission of IT industry though information technologies drive global economic growth. EU, the United States, Japan and other developed countries are using IT related environmental regulations such as WEEE(Waste Electrical and Electronic Equipment), RoHS(Restriction of the use of Certain Hazardous Substance), REACH(Registration, Evaluation, Authorization and Restriction of CHemicals) and EuP(Energy using Product), and have established systematic green business/IT strategies to enhance the competitiveness of IT industry. For example, the Japan government proposed the "Green IT initiative" for being compatible with economic growth and environmental protection. Not only energy saving technologies but energy saving systems have been developed for accomplishing sustainable development. Korea's CO2 emission and energy consumption continuously have grown at comparatively high rates. They are related to its industrial structure depending on high energy-consuming industries such as iron and steel Industry, automotive industry, shipbuilding industry, semiconductor industry, and so on. In particular, export proportion of IT manufacturing is quite high in Korea. For example, the global market share of the semiconductor such as DRAM was about 80% in 2008. Accordingly, Korea needs to establish a systematic strategy to respond to the global environmental regulations and to maintain competitiveness in the IT industry. However, green competitiveness of Korea ranked 11th among 15 major countries and R&D budget for green technology is not large enough to develop energy-saving technologies for infrastructure and value chain of low-carbon society though that grows at high rates. Moreover, there are no concrete action plans in Korea. This research aims to deduce the priorities of the Korean green business/IT strategies to use multi attribute weighted average method. We selected a panel of 19 experts who work at the green business related firms such as HP, IBM, Fujitsu and so on, and selected six assessment indices such as the urgency of the technology development, the technology gap between Korea and the developed countries, the effect of import substitution, the spillover effect of technology, the market growth, and the export potential of the package or stand-alone products by existing literature review. We submitted questionnaires at approximately weekly intervals to them for priorities of the green business/IT strategies. The strategies broadly classify as follows. The first strategy which consists of the green business/IT policy and standardization, process and performance management and IT industry and legislative alignment relates to government's role in the green economy. The second strategy relates to IT to support environment sustainability such as the travel and ways of working management, printer output and recycling, intelligent building, printer rationalization and collaboration and connectivity. The last strategy relates to green IT systems, services and usage such as the data center consolidation and energy management, hardware recycle decommission, server and storage virtualization, device power management, and service supplier management. All the questionnaires were assessed via a five-point Likert scale ranging from "very little" to "very large." Our findings show that the IT to support environment sustainability is prior to the other strategies. In detail, the green business /IT policy and standardization is the most important in the government's role. The strategies of intelligent building and the travel and ways of working management are prior to the others for supporting environment sustainability. Finally, the strategies for the data center consolidation and energy management and server and storage virtualization have the huge influence for green IT systems, services and usage This research results the following implications. The amount of energy consumption and CO2 emissions of IT equipment including electrical business equipment will need to be clearly indicated in order to manage the effect of green business/IT strategy. And it is necessary to develop tools that measure the performance of green business/IT by each step. Additionally, intelligent building could grow up in energy-saving, growth of low carbon and related industries together. It is necessary to expand the affect of virtualization though adjusting and controlling the relationship between the management teams.

녹차의 카테킨류 분석법 개선 (Improvement of analytical method for catechins in green tea)

  • 나효환;백순옥;한상빈;복진영
    • Applied Biological Chemistry
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    • 제35권4호
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    • pp.276-280
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    • 1992
  • HPLC에 의한 카테킨류 5성분의 정량분석법을 검토한 결과, 종래의 이동상을 acetonitril, acetic acid 및 methanol 수용액에서 acetontrile, N,N-dimethyl formamide, ethyl acetate의 0.06% 인산수용액으로 전환하였을 때 컬럼에서의 용출시간을 45분에서 28분으로 줄일 수 있었으며, 특히 (-)-epigallocatechin-3-gallate(EGCG)나 (-)-epicatechin gallate(ECG)의 peak를 종래의 넓은 형태에서 예리한 chromatogram을 얻으므로써 분석값의 오차를 최소화 할 수 있었고 머므름시간$(0.32{\sim}3.97%)$이나 peak 면적$(1.61{\sim}7.02%)$의 변동계수도 신뢰할 수 있는 값을 얻었다. 또한 시판되고 있는 수종의 녹차류와 홍차 및 대만산 오룡차를 분석한 결과 녹차류의 카테킨 함량은 $120.3{\sim}153.7\;mg/g$ 이었고 홍차는 녹차류의 1/4수준 이었다.

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울산광역시(蔚山廣域市) 공원(公園)·녹지(綠地) 및 도시경관(都市景觀)의 주민평가(住民評價) (A Study on the Residents' Evaluation of Open Spaces and Cityscape in Ulsan City)

  • 성백진;이재근;최종희
    • 한국환경복원기술학회지
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    • 제6권3호
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    • pp.46-55
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    • 2003
  • This study aims to evaluate the Ulsan city residents' perception and satisfaction with open spaces and cityscape after consideration in the side of getting primary data for the city open spaces policy and Green Plan for Ulsan city. In this study, low data was gathered by questionnaires survey with stratified random sampling method. Questionnaires were designed by several sets of variables such as behavioral patterns, satisfactions for open spaces and user's demographic variables. Data were analyzed by descriptive statistics, cross-tabulation and regression analysis. The main results of this study can be summarized as follows : 1. In overage the residents were slightly satisfied with park open spaces. There were good and poor park open spaces. in the perceptions of citizens as follows : 'nearby mountain and open spaces', 'rail side green area' were high satisfactory, and 'riverside', 'green qualities' were low in satisfaction. 2. In overage the residents were slightly satisfied with cityscape. There were good and poor cityscape in the perceptions of citizens as follows : 'nearby forest in and open spaces', 'night scape of an urban center' were high satisfactory, and 'streetscape', 'appearances of high-rise buildings' were low in satisfaction. 3. As a results of regression analysis predictable variables for satisfaction with Park and Open spaces were : 'open spaces by the public', 'open spaces by neighbor', 'grande open spaces', 'open spaces of residence'. 4. As a results of regression analysis predictable variables for satisfaction with cityscape were : 'Central Business District(C.B.D) and nearby mountain and open spaces', 'residence and streetscape', 'riverside and park green open spaces'.

A Study on Surface Temperature Patterns in the Tokyo Metropolitan Area Using ASTER Data

  • Fukui, Yuko
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1457-1459
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    • 2003
  • This study reports the surface temperature pattern of the Tokyo Metropolitan area using the ASTER surface temperature product. The product is an image processed by applying temperature-emissivity separation to atmospheric corrected infrared thermal radiance of the land surface, then converted to surface temperature by using Planck's function. Daytime and nighttime observation in a cold season and a warm season were used in this study. As a result, 1) contrast between urban and suburban, 2) extraction of heating area in urban, 3) measurement of cooling effect of green space were achieved.

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CONSTRUCTING DAILY 8KM NDVI DATASET FROM 1982 TO 2000 OVER EURASIA

  • Suzuki Rikie;Kondoh Akihiko
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.18-21
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    • 2005
  • The impact of the interannual climatic variability on the vegetation sensitively appears in the timing of phenological events such as green-up, mature, and senescence. Therefore, an accurate and temporally high-resolution NDVI dataset will be required for analysis on the interannual variability of the climate-vegetation relationship. We constructed a daily 8km NDVI dataset over Eurasia based on the 8km tiled data of Pathfinder A VHRR Land (PAL) Global daily product. Cloud contamination was successfully reduced by Temporal Window Operation (TWO), which is a method to find optimized upper envelop line of the NDVI seasonal change. Based on the daily NDVI time series from 1982 to 2000, an accurate (daily) interannual change of the phenological events will be analyzed.

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