Skip to content
Extra Form
Abstract This study proposes a model to calculate EEOI (Energy Efficiency Operational Indicator) using only public data without any actual operating data which are measured during ship operation. EEOI is usually calculated using the measured information, but since the information is not available except the ship operator, we propose a model using only public data. The public data is including AIS (Automatic Identification System) data and marine environment data. Since the public data mentioned above have a large capacity, it is difficult to estimate the energy efficiency by existing data processing method. Therefore, in this study, big data technology was studied and applied to utilize the large capacity of public data effectively. The proposed model was applied to the example ship to estimate the ship energy efficiency indicator, and the effectiveness of the model was evaluated by comparing the actual results.
Publication Date 2018-06-14

Sung-Woo Park, Myung-Il Roh, Min-Jae Oh, Seong-Hoon Kim, Won-Joon Lee, In-Il Kim, Chang-Yong Kim, "Estimation Model of Energy Efficiency Operational Indicator Using Public Data Based on Big Data Technology", Proceedings of ISOPE 2018, Sapporo, Japan, pp. 894-897, 2018.06.10-15


  1. 이준범, 노명일, 김기수, 손명조, 한기민, 김대헌, "딥 러닝 기반 해기상 및 소요 마력 예측", 2019년도 한국CDE학회 하계학술발표회, 제주, pp. 235, 2019.08.19-22

    CategoryDomestic Conference
    Read More
  2. 노명일, "스마트 함정의 구현을 위한 설계 기술 연구", 함정기술연구회 하계연구발표회, 진해, 2019.07.18-19

    CategoryDomestic Conference
    Read More
  3. Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE 2019, Penang, Malaysia, pp. 245, 2019.07.07-10

    CategoryInternational Conference
    Read More
  4. Min-Jae Oh, Myung-Il Roh, Young-Soo Seok, and Sung-Jun Lee, "Optimization of a Ship Hull Form using Deep Learning", Proceedings of ACDDE 2019, Penang, Malaysia, 2019.07.07-10

    CategoryInternational Conference
    Read More
  5. Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, Kuk-Jin Kang, Seong-Yeob Jung, "Arctic Sea Route Planning Based on POLARIS Rule", Proceedings of ISOPE 2019, Honolulu, Hawaii, pp. 875-877, 2019.06.16-21

    CategoryInternational Conference
    Read More
  6. Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, Hoon-Kyu Oh, Sang-Ok Lee, "Optimum Layout Design of Wedges of Panel for an LNG Tank Considering Amount of Resin Ropes", Proeedings of ISOPE 2019, Honolulu, Hawaii, pp. 1289-1292, 2019.06.16-21

    CategoryInternational Conference
    Read More
  7. 전도현, 노명일, 오민재, 박성우, 이준범, "빅데이터 및 딥 러닝 기술을 이용한 블록의 설계 진행율 분석", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 332, 2019.05.15-17

    CategoryDomestic Conference
    Read More
  8. 이준범, 노명일, 김기수, 손명조, 한기민, 김대헌, "딥러닝 기법을 이용한 해기상 데이터 예측", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 491, 2019.05.15-17

    CategoryDomestic Conference
    Read More
  9. 이종혁, 노명일, 김진혁, 이성준, 함승호, "선박 운항의 원격 모니터링을 위한 디지털 트윈 플랫폼", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 341, 2019.05.15-17

    CategoryDomestic Conference
    Read More
  10. 이원재, 노명일, 이성준, 석영수, 오민재, "스케일 정규화를 통한 딥러닝 기반의 선박 이미지 인식 정확도 향상 방법 연구", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 340, 2019.05.15-17

    CategoryDomestic Conference
    Read More
Board Pagination Prev 1 ... 11 12 13 14 15 16 17 18 19 20 ... 51 Next
/ 51

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내


이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소