A reinterpretation of the well-known formula of the 'mass-velocity relation' is exactlyderived from a new viewpoint with new concepts, such as the finiteness of the transmitting velocityof force (TVF), effecti...A reinterpretation of the well-known formula of the 'mass-velocity relation' is exactlyderived from a new viewpoint with new concepts, such as the finiteness of the transmitting velocityof force (TVF), effective action, and the coupled effect of the TVF for two EM fields, etc. Then, atrue meaning hidden in the Lorentz factor is exploited : i.e., when a charged particle is moving at aspeed v under an EM field, the effective action exerted on it by the field varies inversely with thespeed ratio β= v / U, where U is the TVF, which probably is equal to the propagation velocity ofEM field. The actual reduction of the effective action gives a false impression of mass gain.Accordingly, it is a major mistake in orientation to ascribe the (genuine) electrodynamics of movingbodies to any observation, or to any motion of an observer, while disregarding the facts of mutualaction.展开更多
最小二乘逆时偏移(least-squares reverse time migration,LSRTM)具有更高的成像分辨率、振幅保真性及均衡性等优势。然而,目前的LSRTM算法大多基于水平地表假设,在面对复杂地形时无法很好地适应剧烈的起伏地表。基于二阶常密度声波方程...最小二乘逆时偏移(least-squares reverse time migration,LSRTM)具有更高的成像分辨率、振幅保真性及均衡性等优势。然而,目前的LSRTM算法大多基于水平地表假设,在面对复杂地形时无法很好地适应剧烈的起伏地表。基于二阶常密度声波方程的LSRTM算法忽略了密度变化对振幅的影响,很难在变密度介质中取得保真的成像结果。为此,从一阶速度-应力方程出发,在曲线坐标系下推导相应的扰动方程和伴随方程,并通过伴随状态法给出梯度更新公式,最终实现基于贴体网格的起伏地表LSRTM算法。模型试算验证了算法的有效性和对复杂地表的适应性。结果表明,提出的算法能够消除起伏地表的影响、压制低频噪声、恢复高频成分、均衡成像振幅,实现地下变密度介质的高分辨率和高保真度成像。展开更多
Walking is the most basic and essential part of the activities of daily living. To enable the elderly and non-ambulatory gait-impaired patients, the repetitive practice of this task, a novel gait training robot(GTR) w...Walking is the most basic and essential part of the activities of daily living. To enable the elderly and non-ambulatory gait-impaired patients, the repetitive practice of this task, a novel gait training robot(GTR) was designed followed the end-effector principle, and an active partial body weight support(PBWS) system was introduced to facilitate successful gait training. For successful establishment of a walking gait on the GTR with PBWS, the motion laws of the GTR were planned to enable the phase distribution relationships of the cycle step, and the center of gravity(COG) trajectory of the human body during gait training on the GTR was measured. A coordinated control strategy was proposed based on the impedance control principle. A robotic prototype was developed as a platform for evaluating the design concepts and control strategies. Preliminary gait training with a healthy subject was implemented by the robotic-assisted gait training system and the experimental results are encouraging.展开更多
文摘A reinterpretation of the well-known formula of the 'mass-velocity relation' is exactlyderived from a new viewpoint with new concepts, such as the finiteness of the transmitting velocityof force (TVF), effective action, and the coupled effect of the TVF for two EM fields, etc. Then, atrue meaning hidden in the Lorentz factor is exploited : i.e., when a charged particle is moving at aspeed v under an EM field, the effective action exerted on it by the field varies inversely with thespeed ratio β= v / U, where U is the TVF, which probably is equal to the propagation velocity ofEM field. The actual reduction of the effective action gives a false impression of mass gain.Accordingly, it is a major mistake in orientation to ascribe the (genuine) electrodynamics of movingbodies to any observation, or to any motion of an observer, while disregarding the facts of mutualaction.
文摘最小二乘逆时偏移(least-squares reverse time migration,LSRTM)具有更高的成像分辨率、振幅保真性及均衡性等优势。然而,目前的LSRTM算法大多基于水平地表假设,在面对复杂地形时无法很好地适应剧烈的起伏地表。基于二阶常密度声波方程的LSRTM算法忽略了密度变化对振幅的影响,很难在变密度介质中取得保真的成像结果。为此,从一阶速度-应力方程出发,在曲线坐标系下推导相应的扰动方程和伴随方程,并通过伴随状态法给出梯度更新公式,最终实现基于贴体网格的起伏地表LSRTM算法。模型试算验证了算法的有效性和对复杂地表的适应性。结果表明,提出的算法能够消除起伏地表的影响、压制低频噪声、恢复高频成分、均衡成像振幅,实现地下变密度介质的高分辨率和高保真度成像。
基金Project(61175128) supported by the National Natural Science Foundation of ChinaProject(2008AA040203) supported by the National High Technology Research and Development Program of China
文摘Walking is the most basic and essential part of the activities of daily living. To enable the elderly and non-ambulatory gait-impaired patients, the repetitive practice of this task, a novel gait training robot(GTR) was designed followed the end-effector principle, and an active partial body weight support(PBWS) system was introduced to facilitate successful gait training. For successful establishment of a walking gait on the GTR with PBWS, the motion laws of the GTR were planned to enable the phase distribution relationships of the cycle step, and the center of gravity(COG) trajectory of the human body during gait training on the GTR was measured. A coordinated control strategy was proposed based on the impedance control principle. A robotic prototype was developed as a platform for evaluating the design concepts and control strategies. Preliminary gait training with a healthy subject was implemented by the robotic-assisted gait training system and the experimental results are encouraging.
