In comparison, a broker will have more influence and leverage with the carriers to get accurate updates, fair pricing, and claim resolution in the event of any damage during transit."How do you ship a car internationally? The pain of shipping a vehicle across an international border is enough...
Conclusions from decades of research suggest that there still remain two major challenges in predicting roll motions: As a result, it is necessary to devise new methodology to model ship roll motion which works to address the two limitations. In this paper, the neural-corrector method of Marlan...
from ConvNext block idea in the process of a neck feature pyramid network fusion; the algorithm introduces the WIoU loss function, which compensates for the effect of the small number of pixels of the small target in the process of regression loss computation, so as to improve the network's...
Since the circumferential rotation speed was perpendicular to the forward direction of the ship, it did not contribute to the ship's propulsion. The greater the rotating speed of the water behind the propeller, the greater the loss of efficiency. As can be seen from the comparison in Figure ...
From the comparison of the subfigures, we can see that the performance of RANSAC is good and it can remove the erroneous point pairs effectively. In ship tracking, the main parameters are set as: σp = 0.002◦, σv = 0.01 nm/h2, PD = 0.95, λ f = 10−11, σa = 15, c1...
Comparison of Fine Tuning and Transfer Learning 3.2.2. Comparison of Fine Tuning and Transfer Learning To evaluate the effectiveness of our proposed training method, the constructed ship classTifoiceavtiaolnuamteotdheel ebfafescetdivoenneVsGs oGf1o6uirs ptrraoipnoesdedvitarafiinneintgunminetghoand...
A comparison between calibration data from this study and from a previous measurement campaign during summer 2016 using the same instrument and the same internal hollow-cathode lamp was performed to determine how much the lamp possibly could have aged between calibrations. By comparing the area ...
Firstly, in the CNN model, low-level features extracted from the first convolutional layer are fed into the top layer via layer-by-layer propagation to generate high-level features. However, the low-level features obtained in the first convolution layer may cause some important low-level ...
The comparison is brought to attention in Figure 4 for initial roll angles from ∅0 = 2.5◦ to 20◦, step 2.5◦. The comparison shows that the computed results resembles accurately with the measured data, except for a slight discrepancy in the peak points of roll motion response for ...
The model facilitates the ships behavior research, contributing to the semantic trajectory analysis. Keywords: semantic trajectory; ship behavior; ontology; dynamic Bayesian network 1. Introduction The maritime data from multi-sources has rich meaning in the big data era, especially the meaning of ...