为了准确预测船舶交通流量,构建一种利用特定数据集进行船舶交通流量预测的深度学习模型。选定海域横断面,统计规定时间段内穿越该海域横断面的船舶AIS数据,将这些数据筛选后作为数据集。选取GRU(gate recurrent unit)模型最佳结构和参...为了准确预测船舶交通流量,构建一种利用特定数据集进行船舶交通流量预测的深度学习模型。选定海域横断面,统计规定时间段内穿越该海域横断面的船舶AIS数据,将这些数据筛选后作为数据集。选取GRU(gate recurrent unit)模型最佳结构和参数,对一天内的船舶流量进行预测,并选取LSTM(long short term memory)循环神经网络模型和SAES栈式编码器预测模型作为实验对照组模型,在合理参数范围内对不同参数组合进行实验。实验结果表明,与LSTM模型和SAES(stacked auto-encoders)模型相比,GRU模型预测精度更高,能适应数据规律性较弱的船舶交通流量预测的要求。展开更多
为提高船舶航迹预测精度,利用灰狼优化(grey wolf optimization,GWO)算法求出支持向量回归(support vector regression,SVR)模型的最优参数,构建基于GWO-SVR的船舶航迹预测模型。选取福建漳州古雷港水域某船航迹的AIS数据。将该模型与...为提高船舶航迹预测精度,利用灰狼优化(grey wolf optimization,GWO)算法求出支持向量回归(support vector regression,SVR)模型的最优参数,构建基于GWO-SVR的船舶航迹预测模型。选取福建漳州古雷港水域某船航迹的AIS数据。将该模型与其他模型的预测结果进行比较。实验结果表明,与SVR、灰狼优化最小二乘支持向量机和粒子群优化最小二乘支持向量机等3种模型相比,GWO-SVR模型的预测精度分别提升2.61%、10.93%和0.22%,预测误差分别降低0.022、0.303和0.172。本文方法提高了船舶航迹预测精度,可为海事监管人员及时作出正确决策和保障航行安全提供支持。展开更多
为了解决船舶电大尺寸目标计算速度慢、内存需求量大、仿真周期长等问题,利用大面元物理光学(large element physical optics,LE-PO)算法,通过计算机仿真,建立油船、散货船两种船舶的三维模型,分析总结输入不同极化方式、不同频率、不...为了解决船舶电大尺寸目标计算速度慢、内存需求量大、仿真周期长等问题,利用大面元物理光学(large element physical optics,LE-PO)算法,通过计算机仿真,建立油船、散货船两种船舶的三维模型,分析总结输入不同极化方式、不同频率、不同入射角以及不同船首向对RCS(radar cross section)的影响。研究结果表明,大面元物理光学法(LE-PO)可完成船舶电大尺寸目标的电磁分析计算,可为油船、散货船的目标识别提供理论参考依据。展开更多
Navigation is the only way to develop and utilize marine resources,while the promotion of seafarers1 quality is the basic force of navigation,so navigation simulator plays an important role in modern navigation educat...Navigation is the only way to develop and utilize marine resources,while the promotion of seafarers1 quality is the basic force of navigation,so navigation simulator plays an important role in modern navigation education.The simulation research on the operation of the union purchase is important to improve the special operation training of the actual cargo handling of the union purchase.On the basis of the Cartesian coordinate system transformation algorithm,the algorithm model of the union purchase operation is constructed.On the basis of three-dimensional(3D)rendering engine technology of open scene graph(OSG),the algorithm model of finding the space coordinates of the cargo point is established.The model of catenary equation is used to optimize the scene appearance of the cargo wire.By combination of QT channel signal mechanism and OSG,the simulation interaction of the union purchase operating system is realized.By acquiring the 3D coordinate values of each point,we fit the trajectories of each point in the operation and compare the trajectories.The results show that the model has high interactivity and small error.The comparison of the states of the cargo wire before and after optimization shows that the optimized wire is more realistic and the high fidelity meets the needs of operational training and simulation systems.展开更多
文摘为了准确预测船舶交通流量,构建一种利用特定数据集进行船舶交通流量预测的深度学习模型。选定海域横断面,统计规定时间段内穿越该海域横断面的船舶AIS数据,将这些数据筛选后作为数据集。选取GRU(gate recurrent unit)模型最佳结构和参数,对一天内的船舶流量进行预测,并选取LSTM(long short term memory)循环神经网络模型和SAES栈式编码器预测模型作为实验对照组模型,在合理参数范围内对不同参数组合进行实验。实验结果表明,与LSTM模型和SAES(stacked auto-encoders)模型相比,GRU模型预测精度更高,能适应数据规律性较弱的船舶交通流量预测的要求。
文摘为提高船舶航迹预测精度,利用灰狼优化(grey wolf optimization,GWO)算法求出支持向量回归(support vector regression,SVR)模型的最优参数,构建基于GWO-SVR的船舶航迹预测模型。选取福建漳州古雷港水域某船航迹的AIS数据。将该模型与其他模型的预测结果进行比较。实验结果表明,与SVR、灰狼优化最小二乘支持向量机和粒子群优化最小二乘支持向量机等3种模型相比,GWO-SVR模型的预测精度分别提升2.61%、10.93%和0.22%,预测误差分别降低0.022、0.303和0.172。本文方法提高了船舶航迹预测精度,可为海事监管人员及时作出正确决策和保障航行安全提供支持。
基金the National Natural Science Foundation of China(No.51579114)the Natural Science Foundation of Fujian Province(No.2018J01485)the Project of Young and Middle-Aged Teacher Education of Fujian Province(No.JAT170309)。
文摘Navigation is the only way to develop and utilize marine resources,while the promotion of seafarers1 quality is the basic force of navigation,so navigation simulator plays an important role in modern navigation education.The simulation research on the operation of the union purchase is important to improve the special operation training of the actual cargo handling of the union purchase.On the basis of the Cartesian coordinate system transformation algorithm,the algorithm model of the union purchase operation is constructed.On the basis of three-dimensional(3D)rendering engine technology of open scene graph(OSG),the algorithm model of finding the space coordinates of the cargo point is established.The model of catenary equation is used to optimize the scene appearance of the cargo wire.By combination of QT channel signal mechanism and OSG,the simulation interaction of the union purchase operating system is realized.By acquiring the 3D coordinate values of each point,we fit the trajectories of each point in the operation and compare the trajectories.The results show that the model has high interactivity and small error.The comparison of the states of the cargo wire before and after optimization shows that the optimized wire is more realistic and the high fidelity meets the needs of operational training and simulation systems.
