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
International Conference
2018.03.25 15:35
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
조회 수 583
첨부 '1' |
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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. |
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Publication Date | 2018-06-14 |
Prev Sung-Jun Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Il-Guk Woo, "Image-based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks", Proceedings of ISOPE 2018, Sapporo, Japan, 2018.06.10-15
Sung-Jun Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Il-Guk Woo, "Image-based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks", Proceedings of ISOPE 2018, Sapporo, Japan, 2018.06.10-15
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