The effects of re-scattering on the supra-thermal electron (STE) produced in moderate laser fields are analytically considered (laser intensity is up to ) with a simple model. The electron kinetic energy distribution...The effects of re-scattering on the supra-thermal electron (STE) produced in moderate laser fields are analytically considered (laser intensity is up to ) with a simple model. The electron kinetic energy distribution given by the model is consistent to that given by the particle-in-cell simulation. Based on this fact, it is shown that the scattering of electron in intense laser by the ion in plasma plays an important role in the generation of STE in a moderate laser field.展开更多
Using the forearm test, the prickle of 26 commercially available light-weight worsted woven wool fabrics and 7 other fiber fabrics were studied under (24±1)℃ temperature and (65±5)% RH conditions. The surfa...Using the forearm test, the prickle of 26 commercially available light-weight worsted woven wool fabrics and 7 other fiber fabrics were studied under (24±1)℃ temperature and (65±5)% RH conditions. The surface fiber diameter of part of the wool fabrics was measured using a microscope. It was found that most of the light-weight worsted woven wool fabrics gave a prickle sensation under the above conditions. The prickle sensation was significantly correlated with the mean fiber diameter of the surface hairiness. It was also found that the prickle of the light-weight worsted woven wool fabrics was significantly correlated with the number of surface fibers which were coarser than 26 μm diameter.展开更多
Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method...Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.展开更多
文摘The effects of re-scattering on the supra-thermal electron (STE) produced in moderate laser fields are analytically considered (laser intensity is up to ) with a simple model. The electron kinetic energy distribution given by the model is consistent to that given by the particle-in-cell simulation. Based on this fact, it is shown that the scattering of electron in intense laser by the ion in plasma plays an important role in the generation of STE in a moderate laser field.
文摘Using the forearm test, the prickle of 26 commercially available light-weight worsted woven wool fabrics and 7 other fiber fabrics were studied under (24±1)℃ temperature and (65±5)% RH conditions. The surface fiber diameter of part of the wool fabrics was measured using a microscope. It was found that most of the light-weight worsted woven wool fabrics gave a prickle sensation under the above conditions. The prickle sensation was significantly correlated with the mean fiber diameter of the surface hairiness. It was also found that the prickle of the light-weight worsted woven wool fabrics was significantly correlated with the number of surface fibers which were coarser than 26 μm diameter.
文摘Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.