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Relevant bibliographies by topics / Long term prediction of vessel motion

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Journal articles

Academic literature on the topic 'Long term prediction of vessel motion'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Long term prediction of vessel motion"

1

Miller, Paul H. "Fatigue Prediction Verification of Fiberglass Hulls." Marine Technology and SNAME News 38, no. 04 (2001): 278–92. http://dx.doi.org/10.5957/mt1.2001.38.4.278.

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The growing use of marine composite materials has led to many technical challenges and one is predicting lifetime durability. This analysis step has a large uncertainty due to the lack of data from in-service composite vessels. Analytical models based on classical lamination theory, finite-element analysis, ship motions, probability and wind and wave mechanicswere used in this project to predict hull laminate strains, and fatigue tests were used to determine S-N residual stiffness properties of coupons. These predictions and test data were compared against two cored fiberglass sisterships havi

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2

Siniuta, K. O. "SHIP HANDLING IN CASE OF DISTURBANCE DURING SEQUENTIAL CALCULATION AND OBSERVATION OF SHIP MOTION." Shipping & Navigation 32, no. 2 (2021): 88–94. http://dx.doi.org/10.31653/2306-5761.32.2021.88-94.

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Controllability is an important maritime quality that determines the efficiency of ship handling. When developing course control systems, it is necessary to take into account the operational characteristics of the vessel, as well as external factors affecting it. The complexity of ship handling, as an object of handling, arises due to the continuous influence of various factors that affect the controllability of the ship. The environmental conditions in which the course management task has to be solved are diverse - stormy weather, ice conditions, shallow water, tides, restricted waters(conges

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3

Konon, N. M. "ANALYTICAL MODELLING OF SEAKEEPING QUALITIES OF CONTAINER VESSEL." Shipping & Navigation 30, no. 1 (2020): 78–87. http://dx.doi.org/10.31653/2306-5761.30.2020.78-87.

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The design of ships or any other floating systems intended to operate on or close to the surface of the sea is controlled to a large extent by what is usually referred to as seakeeping, or, in more common terminology, safety at sea. This is a primary consideration and criteria, which has to be fully met. Safety of a ship naturally includes the crew, cargo and the hull itself. Seakeeping is, indeed, a generalized term and reflects the ship's capability to survive all hazards at sea such as collision, grounding, fire, as well as heavy-weather effects related to the environment in general and wav

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4

Li, Xingyang, Kaiqiang Wu, and Haijing Deng. "Blood Pressure Monitoring Based on Carbonized Lens Cleaning Paper-Based Flexible Strain Sensor." Science of Advanced Materials 13, no. 9 (2021): 1789–96. http://dx.doi.org/10.1166/sam.2021.4070.

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Blood pressure (BP) is an important indicator for measuring human health, especially continuous BP, which can indirectly reflect the operating conditions of the heart and blood vessels. The increase in wearable devices has promoted the development of high-performance flexible strain sensors that can monitor various physiological signals and human motion signals. In this work, we used carbonized non-woven lens cleaning paper as the sensitive element to prepare a wide working range (0–100% strain) and high sensitivity (sensitivity in the range of 0–60% is 32, sensitivity in the range of 60–100%

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5

Wiegand, T., Xiaozheng Zhang, and B. Girod. "Long-term memory motion-compensated prediction." IEEE Transactions on Circuits and Systems for Video Technology 9, no. 1 (1999): 70–84. http://dx.doi.org/10.1109/76.744276.

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6

Tang, Gang, Jinman Lei, Chentong Shao, Xiong Hu, Weidong Cao, and Shaoyang Men. "Short-Term Prediction in Vessel Heave Motion Based on Improved LSTM Model." IEEE Access 9 (2021): 58067–78. http://dx.doi.org/10.1109/access.2021.3072420.

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7

Kim, Jonghee, Chanho Jung, Dokeun Kang, and Chang Jin Lee. "A New Vessel Path Prediction Method using Long Short-term Memory." Transactions of The Korean Institute of Electrical Engineers 69, no. 7 (2020): 1131–34. http://dx.doi.org/10.5370/kiee.2020.69.7.1131.

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8

Su, Xiaoqing, Lintao Liu, Hsu Houtse, and Guocheng Wang. "Long-term polar motion prediction using normal time–frequency transform." Journal of Geodesy 88, no. 2 (2013): 145–55. http://dx.doi.org/10.1007/s00190-013-0675-7.

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9

Liu, Chao, Shuai Guo, Yuan Feng, Feng Hong, Haiguang Huang, and Zhongwen Guo. "L-VTP: Long-Term Vessel Trajectory Prediction Based on Multi-Source Data Analysis." Sensors 19, no. 20 (2019): 4365. http://dx.doi.org/10.3390/s19204365.

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With the rapid development of marine IoT (Internet of Things), ocean MDTN (Mobile Delay Tolerant Network) has become a research hot spot. Long-term trajectory prediction is a key issue in MDTN. There are no long-term fine-grained trajectory prediction methods proposed for ocean vessels because a vessel’s mobility pattern lacks map topology support and can be easily influenced by the fish moratorium, sunshine duration, etc. A traditional on-land trajectory prediction algorithm cannot be directly utilized in this field because trajectory characteristics of ocean vessels are far different from th

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10

Zhang, Minglong, Liang Huang, Yuanqiao Wen, Jinfen Zhang, Yamin Huang, and Man Zhu. "Short-Term Trajectory Prediction of Maritime Vessel Using k-Nearest Neighbor Points." Journal of Marine Science and Engineering 10, no. 12 (2022): 1939. http://dx.doi.org/10.3390/jmse10121939.

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The prediction of ship location has become an increasingly popular research hotspot in the field of maritime transportation engineering, which benefits maritime safety supervision and security. Existing methods of ship location prediction based on motion characteristics have a large uncertainty and cannot guarantee trajectory prediction accuracy of the target ship. An improved method of location prediction using k-nearest neighbor (KNN) is proposed in this paper. An expanded circle area of the latest point of the target ship is first generated to find the reference points with similar movement

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