• Title/Summary/Keyword: ETA(Estimated Time of Arrival)

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Study on Trajectory Prediction Accuracy Analysis Method for Performance Improvement of a Trajectory Prediction Module of Arrival Manager (도착관리시스템 궤적 예측 모듈의 성능 개선을 위한 궤적 예측 정확도 분석 방법 연구)

  • Oh, Eun-Mi;Kim, Hyounkyoung;Eun, Yeonju;Jeon, Daekeun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.3
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    • pp.28-34
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    • 2015
  • An analysis method of trajectory prediction has been suggested and the developed trajectory prediction module, which is an important functional component of the Arrival Manager (AMAN) of Jeju airport, has been tested by applying the suggested method. The objective of this method is to improve prediction performance of the trajectory prediction module. The trajectory prediction module predicts the trajectories based on the real-time track data and flight plans. Therefore, the suggested analysis method includes the simulation framework which is based on real-time playback, recording, and graphic display systems for testing. Besides, the definition of time error, which is a important index for the time based scheduling system, such as AMAN, is included in the suggested analysis method. An example of arrival time prediction accuracy improvement through the suggested analysis method has also been presented.

Basic Research of Optimum Routing Assessment System for Safe and Efficient Voyage (운항 안전 및 효율성 향상을 위한 최적 항로 평가 시스템 기본 연구)

  • Lee, Jin-Ho;Choi, Kyong-Soon;Park, Gun-Il;Kim, Mun-Sung;Bang, Chang-Seon
    • Journal of the Society of Naval Architects of Korea
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    • v.42 no.1 s.139
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    • pp.57-63
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    • 2005
  • This paper introduces basic research of optimum routing assessment system as voyage support purpose which can obtain safe and efficient route. In view point of safety, the prediction of ship motion should be evaluated in the condition of rough weather This part includes general seakeeping estimation based on 3 dimensional panel method and parametric roil prediction. For increasing voyage efficiency, ETA(Estimated Time of Arrival) and fuel consumption should be calculated considering speed reduction and power increase due to wave effects based on added resistance calculation and ship performance characteristics. Basically, the weather forecast is assumed to be prepared previously to operate this system. The idea of these factors in this system will be helpful to escape from dangerous voyage situation by wave conditions and to make optimum route planning based on ETA and fuel consumption.

Improvement of Telematics Technology Utilizing Logistics Information (물류정보를 활용한 텔레매틱스 기술 개선방안)

  • Byeon, Eui-Seok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.38-44
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    • 2009
  • Recently, automobile industry expands from mechatronics area through intelligent information area, and the telematics technology is one of the greatest developing points. The telematics is utilizing the on-board-unit of vehicle's communication system, and it provides necessary information and value-added service to vehicles as well as drivers. Most of the telematics offers the solution of searching a route or generates an optimal path. This paper investigates telematics with the logistics point of view, such as freight location tracking, vehicle emergency information, etc. The telematics is a core technology of automobile industry, and it becomes new business paradigm of IP(information provider). Especially, ETA(estimated arrival time) of freight and distribution tracing information are critical issues in the logistics industry. The successful integration with telematics is introduced in the paper.

실시간 기상/항해 정보를 이용한 최적 항로 지원 시스템 개발

  • Jeong, Se-Yong;Yang, Jin-Ho;An, Gyeong-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.10a
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    • pp.39-41
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    • 2014
  • 최근 유가인상, 운임하락, 온실가스규제 등의 복합적인 요인으로 선박의 운항 효율 관리를 위한 직 간접적인 방법이 개발되고 있으며, 실제로 이를 지원하는 시스템의 탑재사례가 늘고 있다. 본 논문에서는 이러한 경제운항지원시스템들 중에서 실시간 기상정보와 그에 기초한 선박의 부가저항을 고려한 최적의 추천경로를 제공하는 최적 항로 지원 시스템에 대해 기술하고자 한다. 본 시스템은 주어진 ETA (Estimated Time of Arrival) 범위 내에서, 기상예보를 바탕으로 연비관점에서의 최적의 경로 및 엔진출력을 제안하며, 추천경로 및 실제운항경로 사이의 효율비교와 함께 항해정보분석까지 가능한 것을 특징으로 한다. 이러한 시스템은 선박의 연료절감과 함께 운항경로 전반에 대한 포괄적인 이해에 도움을 줄 것으로 기대한다.

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A Study on the Optimum Navigation Route Safety Assessment System using Real Time Weather Forecasting (실시간 기상 정보를 이용한 최적 항로 안전 평가 시스템의 연구)

  • Choi, Kyong-Soon;Park, Myung-Kyu;Lee, Jin-Ho;Park, Gun-Il
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.13 no.2 s.29
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    • pp.133-140
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    • 2007
  • Since early times, captain have been sailing to select the optimum route considering the weather, ship loading status condition and operational scheduling empirically. However, it is rare to find digitalized onboard route support system whereas weather facsimile or wave and swell chart are utilized for the officer, based on captain's experience. In this paper, optimal route safety assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimizea ETA(estimated time of arrival) and fuel consumption that shipping company and captain are requiring to evaluate for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method. Finally, It is assistance measure for ship's optimum navigation route safety planning & assessment.

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Performance Evaluation of Object Detection Deep Learning Model for Paralichthys olivaceus Disease Symptoms Classification (넙치 질병 증상 분류를 위한 객체 탐지 딥러닝 모델 성능 평가)

  • Kyung won Cho;Ran Baik;Jong Ho Jeong;Chan Jin Kim;Han Suk Choi;Seok Won Jung;Hvun Seung Son
    • Smart Media Journal
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    • v.12 no.10
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    • pp.71-84
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    • 2023
  • Paralichthys olivaceus accounts for a large proportion, accounting for more than half of Korea's aquaculture industry. However, about 25-30% of the total breeding volume throughout the year occurs due to diseases, which has a very bad impact on the economic feasibility of fish farms. For the economic growth of Paralichthys olivaceus farms, it is necessary to quickly and accurately diagnose disease symptoms by automating the diagnosis of Paralichthys olivaceus diseases. In this study, we create training data using innovative data collection methods, refining data algorithms, and techniques for partitioning dataset, and compare the Paralichthys olivaceus disease symptom detection performance of four object detection deep learning models(such as YOLOv8, Swin, Vitdet, MvitV2). The experimental findings indicate that the YOLOv8 model demonstrates superiority in terms of average detection rate (mAP) and Estimated Time of Arrival (ETA). If the performance of the AI model proposed in this study is verified, Paralichthys olivaceus farms can diagnose disease symptoms in real time, and it is expected that the productivity of the farm will be greatly improved by rapid preventive measures according to the diagnosis results.

A Study on the Optimum Navigation Route Safety Assessment System using Real Time Weather Forecasting (실시간 기상 정보를 이용한 최적 항로 안전 평가 시스템의 연구)

  • Choi, Kyong-Soon;Park, Myung-Kyu;Lee, Jin-Ho;Park, Gun-Il
    • Proceedings of KOSOMES biannual meeting
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    • 2007.05a
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    • pp.203-210
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    • 2007
  • This paper treats optimal route safety assessment system at seaway based on weather forecasting data through INMARSAT. Since early times, captain have been sailing to select the optimum route considering the weather, ship loading status condition and operational scheduling empirically. However, it is rare to find digitalized onboard route support system whereas weather facsimile or wave and swell chart are utilized for the officer, based on captain's experience. In this paper, optimal route safety assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption that shipping company. and captain are requiring to evaluate for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method Basically, the weather forecast is assumed to be prepared previously in order to operate this system.

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Introduction of Optimum Navigation Route Assessment System based on Weather Forecasting and Seakeeping Prediction (기상 예보 및 내항성능을 고려한 최적 항로 평가 시스템의 도입)

  • Park Geon Il;Choi Kyong Soon;Lee Jin Ho;Kim Mun Sung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.11a
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    • pp.61-70
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    • 2004
  • This paper treats optimal route assessment system at seaway based on weather forecasting and wave measurement through observation. Since early times. captain & officer have been sailing to select the optimum route considering the weather ana ship status condition empirically. However. it is rare to find digitalized onboard route support system whereas weather fax or wave and swell chart are utilized for the officer. based on officer's experience. In this paper, optimal route assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA (estimated time of arrival) ana fuel consumption is evaluated for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method. Basically. the weather forecast is assumed to be prepared previously in order to operate this system.

  • PDF

Introduction of Optimum Navigation Route Assessment System based on Weather Forecasting and Seakeeping Prediction (개상 예보 및 내항성능을 고려한 최적 항로 평가 시스템의 도입)

  • Park Gun-il;Choi Kyong-Soon;Lee Jin-Ho;Kim Mun-Sung
    • Journal of Navigation and Port Research
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    • v.28 no.10 s.96
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    • pp.833-841
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    • 2004
  • This paper treats optimal route assessment system at seaway based on weather forecasting and wave measurement through observation Since early times, captain & officer have been sailing to select the optimum route considering the weather and ship status condition empirically. However, it is rare to find digitalized onboard route support system whereas weather fax or wave and swell chart are utilized for the officer, based on officer's experience. In this paper, optimal route assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption is evaluated for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method. Basically, the weather forecast is assumed to be prepared previously in order to operate this system.