Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nailong Wu"'
Publikováno v:
Sensors, Vol 23, Iss 18, p 7887 (2023)
In this paper, we present a soft and moisturizing film electrode based on bacterial cellulose and Ag/AgCl conductive cloth as a potential replacement for gel electrode patches in electroencephalogram (EEG) recording. The electrode materials are entir
Externí odkaz:
https://doaj.org/article/296ef11792cc42e5acfa2db32d83435b
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 977 (2022)
Path planning is the precondition for Hybrid Autonomous Underwater Vehicles (HAUV) to enter the submerged area to undertake a mission. The influence of ocean currents on HAUV should be further investigated to obtain a time-optimal path. The improved
Externí odkaz:
https://doaj.org/article/e06eb85b416543b78740f43dde61f9fd
Publikováno v:
Complexity, Vol 2021 (2021)
The complex marine environment and the high energy consumption of shipboard equipment pose challenges to the long-term navigation of autonomous unmanned ships. In wave-induced motion, inertial gyro antirolling technology is used to offset the energy
Externí odkaz:
https://doaj.org/article/da8323d906524665af066a81cc26871b
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 4, p 478 (2022)
In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method is integrated into the partial differential equa
Externí odkaz:
https://doaj.org/article/e76c0ad77d684f1dac0dc1abe148fef2
Publikováno v:
Plants, Vol 11, Iss 7, p 937 (2022)
Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main archi
Externí odkaz:
https://doaj.org/article/cbb74b2a81dd43179454611fe97f3217
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 12, p 1420 (2021)
In view of the vulnerability of ocean unmanned sailboats to the large lateral velocities due to wind and waves during navigation, this paper proposes a Gaussian Process Model Predictive Control (GPMPC) method based on data-driven learning technique t
Externí odkaz:
https://doaj.org/article/54e3b16e0b1a440e9ec2b296e0249795
Publikováno v:
Machines, Vol 9, Iss 8, p 144 (2021)
For mechanical compound fault, it is of great significance to employ the vibration signal of a single-channel compound fault to analyze and realize the separation of multiple fault sources, which is essentially the problem of single-channel blind sou
Externí odkaz:
https://doaj.org/article/61c9f1ad8a4a4305bf4d706e19120b7f
Publikováno v:
Machines, Vol 9, Iss 5, p 98 (2021)
The vibration signal of rotating machinery fault is a periodic impact signal and the fault characteristics appear periodically. The shift invariant K-SVD algorithm can solve this problem effectively and is thus suitable for fault feature extraction o
Externí odkaz:
https://doaj.org/article/126af7e4f5ae4652a10eb96f2b17ade3
Publikováno v:
Applied Sciences, Vol 8, Iss 2, p 253 (2018)
The motion of an underwater vehicle is prone to be affected by time-varying model parameters and the actuator limitation in control practice. Adaptive control is an effective method to deal with the general system dynamic uncertainties and disturbanc
Externí odkaz:
https://doaj.org/article/23e6b322a2114557be4711a293b53b30
Publikováno v:
Machines
Volume 9
Issue 8
Machines, Vol 9, Iss 144, p 144 (2021)
Volume 9
Issue 8
Machines, Vol 9, Iss 144, p 144 (2021)
For mechanical compound fault, it is of great significance to employ the vibration signal of a single-channel compound fault to analyze and realize the separation of multiple fault sources, which is essentially the problem of single-channel blind sou