|
|
|
|
|
Jing Li, Jin Fu and Nan Zou
The underwater channel is bilateral, heterogeneous, uncertain, and exhibits multipath transmission, sound line curvature, etc. These properties complicate the structure of the received pulse, causing great challenges in direct signal identification for r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuanghu Qiao, Baojian Song, Yunsheng Fan and Guofeng Wang
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To addre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuezhu Lin, Shihan Chao, Dongming Yan, Lili Guo, Yue Liu and Lijuan Li
The proposed multi-sensor data fusion method utilizes the self-attention mechanism in CNN-SA networks to enhance data integrity and accuracy, and it has potential applications in various fields where accurate and reliable multi-sensor data fusion is requ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shanying Lin, Jialu Xu, Shengnan Liu, Muk Chen Ong and Wenhua Li
The gas?liquid two-phase flow patterns of subsea jumpers are identified in this work using a multi-sensor information fusion technique, simultaneously collecting vibration signals and electrical capacitance tomography of stratified flow, slug flow, annul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Li, Bo Zhao, Jizhong Wang, Yanjun Li and Yanwei Yuan
Accurate yield estimation before the wheat harvest is very important for precision management, maintaining grain market stability, and ensuring national food security. In this study, to further improve the accuracy of winter wheat yield estimation, machi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingqing Huang, Di Wu, Hao Huang, Yan Zhang and Yan Han
Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN...
ver más
|
|
|
|
|
|
|
|
|
|
|
Agnes A. R. Broer, Rinze Benedictus and Dimitrios Zarouchas
With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved. Yet its application is still not often seen in o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Priti Girohi and Ashutosh Bhardwaj
Interferometry Synthetic Aperture Radar (InSAR) is an advanced remote sensing technique for studying the earth?s surface topography and deformations; it is used to generate high-quality Digital Elevation Models (DEMs). DEMs are a crucial and primary inpu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuan Fu, Yu Liu and Yan Yang
To address the problem of the low recognition rate of time-frequency domain methods gearbox fault identification, a method featuring decision-level fusion of DS evidence theory and GA-BP algorithm was proposed in the present study. Firstly, the fault dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yawen Kong, Dapeng Tian and Yutang Wang
Optoelectronic platform is an important payload in the field of aerospace and widely used in geographic mapping, measurement, and positioning. In order to obtain high-precision attitude measurement, gyro and accelerometer are applied in the feedback loop...
ver más
|
|
|
|
|
|