• Title/Summary/Keyword: 물 소비

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Effects of Biodiesel Fuel on Characteristics of Specific Fuel Consumption and Exhaust Emissions in DI Diesel Engine - Using Rape Oil - (직접분사식 디젤기관에서 연료소비율 및 배기배출물 특성에 미치는 바이오디젤유의 영향 - 유채유를 중심으로 -)

  • Lim, Jae-Keun;Choi, Soon-Youl;Kim, Suk-Joon;Cho, Sang-Gon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.14 no.1
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    • pp.83-87
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    • 2008
  • We have a lot of interest in alternative fuels to provide energy independence from oil producing country and to reduce exhaust emissions for air pollution prevention. Biodiesel, which can be generated from natural renewable sources such as new or used vegetable oils or animal fats, may be used as fuel without change of engine structure in diesel engine of compression ignition engine. In this paper, the test results on specific fuel consumption and exhaust emissions of neat diesel oil and biodiesel blends(10 vol.% biodiesel and 20 vol.% biodiesel) were presented using four stroke, direct injection diesel engine. Especially this biodisel was produced from rape oil at our laboratory by ourselves. This study showed that specific fuel consumption and NOx emission were slightly increased, on the other hand CO emission and Soot were tolerably decreased more in the case of biodiesel blends than neat diesel oil.

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GHG emissions data extraction and analysis of the power consumption of the lighting installation in the building using a BIM (BIM을 활용한 건축조명의 소비전력에 따른 온실가스 배출량 데이터 추출 및 분석)

  • Lim, Myoung-Su;Su, Kang-jin;Oh, Min-Hwan
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1446-1449
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    • 2015
  • 본 논문에서는 BIM TOOL 중 하나인 AUTODESK사의 Revit Softwere를 활용하여 건축물에서 필수적으로 사용하고 있는 전기 설비 중 조명설비를 대상으로 전력소비에 따라 발생하는 온실가스인 이산화탄소($CO_2$), 메탄($CH_4$), 아산화질소($N_2O$) 배출량을 추정하여 건축물 에너지절감의 필요성을 강조하고 증명하고자 한다. BIM을 적용 할 수 있는 설계, 시공, 유지보수 외에 사용자의 전력소비에 따른 배출량을 연계한 데이터를 추출하여 온실가스 감축을 위한 전력절감의 TOOL 활용과 국가 정책, 제도 및 지침에 적극 활용되기를 기대한다.

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'축산물의소비촉진등에관한법률'에 대한 법제처 해석 결과

  • Korea Chicken Council
    • Monthly Korean Chicken
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    • s.137
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    • pp.66-69
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    • 2006
  • 최근 자조금 시행을 위한 자조활동자금관리위원회 구성과 관련 육계자조금대의원회(의장 이홍재)에서 법제처에 '축산물의 소비촉진 등에 관한 법률' 해석을 요청함에 따라 법제처에서는 '관리위원 위촉' '감사 위촉' '대의원 개의 정족수' '대의원회 운영규정 제.개정시 대의원회 심의.의결 여부' 등에 대해 심의위원회를 열어 아래와 같이 결과를 통보했다.

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An Analysis of the Comparison for a Trend on the Interior Lighting Design of High-rise Office Buildings Between Overseas and Domestic (국내.외 초고층 오피스건축물의 조명설계 경향 비교 분식)

  • Jeong, Keun-Young;Hong, Seong-Kwon;Chol, An-Seop;Lee, Jeong-Ho;Mistrick, Richard
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.2
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    • pp.42-50
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    • 2008
  • There are many plans of the high-rise buildings these days in domestic and will be constructed from now on. It is required to develop energy saving techniques immediately because the high-rise buildings consume a lot of energy. The most effective energy savings method is the application of the efficient lighting designs and fixtures. The purpose of this study is to analyze a trend of lighting design, fixture and control system between overseas and domestic. It can be used the guide line for the high-rise buildings in domestic application.

Broadcast Content Recommender System based on User's Viewing History (사용자 소비이력기반 방송 콘텐츠 추천 시스템)

  • Oh, Soo-Young;Oh, Yeon-Hee;Han, Sung-Hee;Kim, Hee-Jung
    • Journal of Broadcast Engineering
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    • v.17 no.1
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    • pp.129-139
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    • 2012
  • This paper introduces a recommender system that is to recommend broadcast content. Our recommender system uses user's viewing history for personalized recommendations. Broadcast contents has unique characteristics as compared with books, musics and movies. There are two types of broadcast content, a series program and an episode program. The series program is comprised of several programs that deal with the same topic or story. Meanwhile, the episode program covers a variety of topics. Each program of those has different topic in general. Therefore, our recommender system recommends TV programs to users according to the type of broadcast content. The recommendations in this system are based on user's viewing history that is used to calculate content similarity between contents. Content similarity is calculated by exploiting collaborative filtering algorithm. Our recommender system uses java sparse array structure and performs memory-based processing. And then the results of processing are stored as an index structure. Our recommender system provides recommendation items through OPEN APIs that utilize the HTTP Protocol. Finally, this paper introduces the implementation of our recommender system and our web demo.