Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Junhai Guo"'
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1573 (2023)
The shape of corn seeds not being spherical affects their mobility. This study focuses on modeling the typically shaped corn seeds and calibrating the coefficient of rolling friction for different shape types to improve simulation reliability. By ana
Externí odkaz:
https://doaj.org/article/e0813f23acaa40ec92ed45a6a68b8543
Publikováno v:
Agriculture, Vol 12, Iss 10, p 1567 (2022)
In the dry areas of Northwest China, cavity planters with vertical insertions are used for seeding on film. Due to the uncertain mechanism between cavity planters and maize seeds and soil, research on the cavity planter has been slow. Several theoret
Externí odkaz:
https://doaj.org/article/de11b94c18f14112b4c80d13108ec93a
Autor:
Yuhuan Sun1 sunyuhuan620105@163.com, Junhai Guo2 553591864@qq.com, Linrong Shi1 shilr@gsau.edu.cn
Publikováno v:
International Journal of Agricultural & Biological Engineering. Aug2024, Vol. 17 Issue 4, p116-127. 12p.
Publikováno v:
IET Radar, Sonar & Navigation. 9:1162-1170
Inverse synthetic aperture radar (ISAR) imaging plays an important role in aerial target identification. However, traditional ISAR methods are based on rigid body dynamics, which cannot depict micro-moving parts, such as the rotating propellers of an
Autor:
José Roberto Jardim, Christopher B. Cooper, Bartolome R. Celli, Robert A. Wise, S Kesten, Daniel Legg, Junhai Guo
Publikováno v:
Chest. 144:490-497
Background: Disease progression in COPD is associated with a decline in exercise performance over time. We assessed whether tiotropium might mitigate this by determining its effect on treadmill endurance time (ET) over 2 years. Methods: This was a ra
Publikováno v:
2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Inverse synthetic aperture radar (ISAR) imaging is a useful method of target identification in radar detection. However, rapidly rotating parts, such as propellers and blades on aircrafts, cannot be focused by conventional imaging algorithm. In this
Publikováno v:
Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things.
Deep Belief Network is an algorithm among deep learning. It is an effective method of solving the problems from neural network with deep layers, such as low velocity and the overfitting phenomenon in learning. In this paper, we will introduce how to
Publikováno v:
Industrial & Engineering Chemistry Research. 46:600-607
Single industrial adsorbent pellets of zeolites 5A and 13X were mounted with a polymer capable of withstanding high temperatures. Adsorbents were characterized by mercury-porosimetry and low-temper...
Publikováno v:
2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP).
This paper presents a new target tracking method. The presented method which named marginalized cubature Kalman filter is based on standard cubature Kalman filter and marginalized moment estimator. The marginalized moment estimator uses sigma-points
Publikováno v:
2014 IEEE International Conference on Control Science and Systems Engineering.
Micro motion is a common phenomenon in radar detection. Although In ISAR imaging, micro-motion parts attached to target always have an impact on the quantity of the image. In this passage we put forward a method to remove the effect of micro-Doppler