Nielsen方程Mei对称性导致的一种新型守恒量

研究完整系统Nielsen方程Mei对称性导致的一种新型守恒量.在群的无限小变换下,由Nielsen方程Mei对称性的定义和判据,得到完整系统Nielsen方程Mei对称性导致的新型结构方程和新型守恒量.举例说明结果的应用. 关键词： Nielsen方程 Mei对称性 新型结构方程 新型守恒量     

弱非完整系统Mei对称性导致的新型精确和近似守恒量

研究弱非完整系统Lagrange方程的Mei对称性导致的一种结构方程和新型精确以及近似守恒量. 首先建立系统的Lagrange方程. 其次在群的无限小变换下, 给出了弱非完整系统及其一次近似系统Mei对称性的定义和判据, 然后得到了Mei对称性导致的新型结构方程、 新型精确和近似守恒量的表达式. 最后, 举例研究系统的精确新型守恒量和近似新型守恒量问题. 关键词： 弱非完整系统 Mei对称性 新型结构方程 新型守恒量     

强激光束在柱面镜空间滤波器中的传输特性

为了解决空间滤波器滤波针孔堵孔问题,提出了一种新型柱面镜空间滤波器,新型柱面镜空间滤波器由柱面镜和狭缝构成。利用线性传输理论,对高功率激光束在新型柱面镜空间滤波器中的传输特性进行了数值模拟。结果表明:新型柱面镜空间滤波器的焦斑面积比传统滤波器大,而焦斑功率密度较小;新型柱面镜空间滤波器的滤波效果与传统滤波器相同,近场均匀性也相同。因此新型柱面镜空间滤波器能够抑制空间滤波器堵孔效应,可以缩短空间滤波器系统透镜焦距,从而提高功率装置的整体性价比。由此,采用新型柱面镜空间滤波器替换传统球面镜空间滤波器具有可行性。     

一种新型双势和周期势模型的构造及其精确解

提出了一种构造并精确求解新型势函数的方法.采用这种方法.讨论了一维二次型函数的通解,将这种二次型函数分段连接构造出一种新型一维双势阱模型和新型一维周期势模型,在此基础上得出了这两种新型势模型的精确解.     

新型可变光衰减器的温度特性研究

介绍一种新型光衰减器的工作原理、结构及温度特性.实验中采用在线温度特性测试法得到了新型光衰减器的插入损耗随温度变化的特性曲线.提出通过改进工艺的办法来优化新型光衰减器结构和提高光衰减器温度稳定性的方案.     

旋转条件下热驱动换热效果比较研究

本文在涡轮叶片新型超级冷却技术机理研究的基础上,设计了旋转条件下带冷却通道的新型超级冷却与涡轮叶片粗糙肋强化冷却对比实验。主要研究了旋转条件下带冷却通道的新型超级冷却换热规律,对比研究了粗糙肋强化冷却换热效果,通过对两种冷却技术换热效果的对比分析,结果表明:基于热驱动理论的新型超级冷却技术具有较好的换热效果。     

新型碳材料在钙钛矿太阳电池中的应用研究进展

新型碳材料如石墨烯及其氧化物、碳纳米管、富勒烯及石墨炔等因其优异的热学、力学、电学、光学性能成为了钙钛矿太阳电池研究的又一亮点. 本文总结了新型碳材料在钙钛矿太阳电池对电极、电子传输材料及空穴传输材料中的研究进展, 新型碳材料的引入有效地提高了钙钛矿电池的性能, 为下一步新型碳材料的应用开发以及钙钛矿电池器件的研究提供了新的思路.     

新型相干结构光场产生研究进展(特邀)

新型相干结构光场由于其在许多领域具有独特的优势,受到越来越多学者的关注.本文回顾了新型相干结构光场构建基础理论,从均匀和非均匀相干结构分类出发,以几种典型的新型相干结构光场为例,重点介绍了其光束模型构建和新奇传输特性,总结归纳了 目前主流的包括泽尼克定理法和模式分解法在内的新型相干结构光场实验产生方法,并讨论了不同方法...     

制冰方式的研究

文中提出一种新型的浸润式动态制冰方式,并利用数值模拟的方法对新型制冰方式和传统滑落式制冰方式进行了对比研究。结果表明,在制冰时间相等的条件下,新型制冰方式的制冰量提高了约19%。在制冰量相等的条件下,制冰周期平均缩短了10分钟,蓄冰周期平均缩短了约2.3小时。此外,新型制冰机组采用的脱冰方式可以减小冷凝器的换热面积。     

研究原子碰撞动力学的新型“动量显微镜”

研究原子碰撞动力学的新型“动量显微镜”￥中国科学院物理研究所＠冯宝华研究原子碰撞动力学的新型“动量显微镜”一种新型的“显微镜”可以对原子分裂过程中的产物的相关运动进行观测．普通的显微镜一般显示的是一个物体的空间结构，而这种新型显微镜对在基本原子反应中产生的...     

相对论性电子在行波磁场中的自发辐射

相对论性电子在周期性磁场中的运动将产生自发辐射,这是产生自由电子激光的基础。本采用行波磁场作为周期性磁场,通过讨论可以看出,当电子通过这种磁场时将产生自发辐射,说明该磁场能作为自由电子激光器的摆动器。     

Effect of Body Weight-supported Walking on Exercise Capacity and Walking Speed in Patients with Knee Osteoarthritis: A Randomized Controlled Trial

Objective: To compare the effect of body-weight-supported treadmill training (BWSTT) and full-body-weight treadmill training (FBWTT) on patients with knee osteoarthritis (OA). Methods: Design was Randomized controlled trial. Patients with knee osteoarthritis (n = 30; mean age, 76.0±7.5 y) were randomly assigned to BWSTT or FBWTT group. All patients performed 20 min walking exercise twice a week for 6 weeks under the supervision of the therapist. Main measures were 10-meter walking test (10MWT), functional reach test (FRT), timed get up and go test (TUG), one-leg standing test, 6-minute walking test (6MWT), the parameters set on the treadmill, MOS Short-Form 36-Item Health Survey (SF36), Japanese Knee Osteoarthritis Measure (JKOM). Results: Twenty-five patients (10 men, 15 women; mean age, 76.5 ± 8.0 y) completed the experiment. Exercise capacity, indicated by the heart rate, was similar in both groups. After 3 weeks of BWSTT, the patients performed significantly better in the 10-m and 6-min walking tests. This was not the case with FBWTT even after 6 weeks training. Pain levels assessed were significantly improved after 3 weeks of BWSTT and 6 weeks of FBWTT. There were no significant improvements in either group assessed by the FRT, one-leg standing time test, TUG, or SF -36 questionnaire. Conclusions: BWSTT enhanced exercise capacity in terms of walking speed and pain reduction after 3 weeks; however, there was no significant improvement in patients'' functional abilities or quality of life.     

Pedestrian choice behavior analysis and simulation of vertical walking facilities in transfer station

Considering the interlayer height, luggage, the difference between queuing pedestrians, and walking speed, the pedestrian choice model of vertical walking facilities is established based on a support vector machine. This model is verified with the pedestrian flow data of Changchun light-rail transfer station and Beijing Xizhimen transfer station. Adding the pedestrian choice model of vertical walking facilities into the pedestrian simulation model which is based on cellular automata, the pedestrian choice behavior is simulated. In the simulation, the effects of the dynamic influence factors are analyzed. To reduce the conflicts between pedestrians in opposite directions, the layout of vertical walking facilities is improved. The simulations indicate that the improved layout of vertical walking facilities can improve the efficiency of pedestrians passing.     

Reciprocal contribution analysis of the left and right hips while walking

The physical posture of even healthy university students is easy to collapse when walking with textbooks and other heavy loads during university attendance. Consequently, they may experience lower-back pain or knee pain. However, the resulting burden of this stress to the left and right lower-back has not previously been quantitatively analyzed.In this study, we employed a Relative Power Contribution (RPC) analysis approach to quantitatively investigate and compare the reciprocal contribution between the left and right lower-backs while walking with a bag and without a bag. Quantitative data were collected by two accelerometers installed on the subjects.Results for the subjects walking with and without a bag indicated that the contribution of the left and right lower-backs decreased by up to 21% (p<0.05). Some disorder occurs in the feedback relations of the movement in both lower-backs and as a result, it was understood to cause much discomfort in these areas.This analysis reveals the quantitative relations of left and right lower-backs, which are difficult to discern from the original data. The results can be useful for preventive healthcare for lower-back and knee pains.     

Optimal Frequency and Amplitude of Vertical Viewpoint Oscillation for Improving Vection Strength and Reducing Neural Constrains on Gait

Inducing self-motion illusions referred as vection are critical for improving the sensation of walking in virtual environments (VE). Adding viewpoint oscillations to a constant forward velocity in VE is effective for improving vection strength under static conditions. However, the effects of oscillation frequency and amplitude on vection strength under treadmill walking conditions are still unclear. Besides, due to the visuomotor entrainment mechanism, these visual oscillations would affect gait patterns and be detrimental for achieving natural walking if not properly designed. This study was aimed at determining the optimal frequency and amplitude of vertical viewpoint oscillations for improving vection strength and reducing gait constraints. Seven subjects walked on a treadmill while watching a visual scene. The visual scene presented a constant forward velocity equal to the treadmill velocity with different vertical viewpoint oscillations added. Five oscillation patterns with different combinations of frequency and amplitude were tested. Subjects gave verbal ratings of vection strength. The mediolateral (M-L) center of pressure (CoP) complexity was calculated to indicate gait constraints. After the experiment, subjects were asked to give the best and the worst oscillation pattern based on their walking experience. The oscillation frequency and amplitude had strong positive correlations with vection strength. The M-L CoP complexity was reduced under oscillations with low frequency. The medium oscillation amplitude had greater M-L CoP complexity than the small and large amplitude. Besides, subjects preferred those oscillation patterns with large gait complexity. We suggested that the oscillation amplitude with largest M-L CoP complexity should first be chosen to reduce gait constraints. Then, increasing the oscillation frequency to improve vection strength until individual preference or the boundary of motion sickness. These findings provide important guidelines to promote the sensation of natural walking in VE.     

Effects of Early Physical Therapist-supervised Walking on Clinical Outcomes after Liver Resection: Propensity Score Matching Analysis

Objective: The study aimed to demonstrate the significance of early postoperative physical therapy interventions on clinical outcomes by determining the influence of the distance walked under the supervision of a physical therapist in the early postoperative period after liver cancer. Methods: All consecutive patients who underwent surgery for liver cancer between April 2018 and March 2020 were eligible for enrollment in the study. The total walking distance during physical therapy till the third postoperative day was examined. The clinical outcomes comprised duration of postoperative hospital stay, time to independent walking, and occurrence of postoperative complications. For data analysis, the patients were divided into two groups: those who walked more than the median total distance (the long-distance group) and those who walked less than the median distance (the short-distance group). We used propensity score matching to match the background characteristics between the groups. Results: Of the 65 patients who were eligible, 14 patients were included in the two groups each, after matching. The long-distance walking group had a significantly shorter hospital stay (9.0 days vs. 11.0 days, p=0.008) and a shorter time to independent walking (3.5 days vs. 7.5 days, p=0.019) than the short-distance walking group. There were no significant differences in postoperative complications between the two groups (7.1% vs. 42.8%, p=0.08). Conclusion: In the early postoperative period after liver cancer surgery, increasing the walking distance under the supervision of a physical therapist is important for improving clinical outcomes. Further prospective studies are needed to confirm the findings of this study.     

基于异构计算的简单行走模型的吸引区域研究

被动行走机器人由于结构简单、能量利用率高而倍受青睐, 但其很容易跌倒, 因此准确把握最终步态与吸引区域成了关键. 由于面对非光滑系统, 大规模数值计算很难避免, 为此本文先提出基于CPU+GPU异构平台的Poincaré映射算法. 该算法可发挥最新平台计算潜力, 比传统CPU上算法快上百倍. 得益于此, 本文针对双足被动行走的最基本模型, 大规模地选取样点进行计算, 不仅清晰地得出吸引区域的形状轮廓和细节特征, 揭示了其内在分形结构, 还得到系统吸引集和吸引区域随倾角k的变化关系, 发现了新的稳定三周期步态和倍周期分岔混沌现象, 并研究了吸引区域.     

双足模型步行中的倍周期步态和混沌步态现象

被动行走模型只依赖重力可以在斜坡上形成自然的周期步态.当模型参数改变时,步态随之改变.应用胞映射方法与Newton-Raphson迭代结合来获取被动行走模型周期步态的不动点,消除了迭代方法在初值选取上的随机性,并获得了模型的吸引盆.通过对不同参数的模型的仿真,讨论了参数变化对步态的影响.结果表明,转动惯量增大会导致倍周期步态到混沌步态的产生,足半径减小和质心位置降低也会导致分岔的出现. 关键词： 胞映射 双足步行 倍周期 混沌     

基于元胞自动机和复杂网络理论的双向行人流建模

通过设计行人行走倾向性调查实验,分析了行人的行走倾向性特征. 引入前进系数、右倾系数、超越系数以及影响修正系数等对元胞自动机(CA) 基本模型中的转移概率进行修正,建立了考虑行人行走倾向性特征的CA行人仿真模型. 针对该模型中的行人群体,依据k-近邻作用原理,构建行人复杂网络. 通过计算机仿真,揭示了行人流密度、速度和流量的关系以及仿真过程中出现的自组织现象.进一步分析仿真输出的行人流基本参数和行人复杂网络主要特征参数,发现对同一行人流,其平均速度和网络平均路径长度均随着行人流状态的改变而变化.最后, 通过平均路径长度和平均速度的数据拟合,得出两者之间存在着线性负相关关系的结论, 即具有较小网络平均路径长度的行人流具有较高的平均速度.     

消防机器人行走控制系统的设计与实现

近年来火灾事故频发,消防人员的安全问题无法保证,“机器换人”这一理念是处置火灾救援的一个重要手段和发展趋势。本文针对火灾现场的环境复杂性,设计了消防机器人的行走控制方案,通过设计电机驱动系统的硬件电路与针对行走控制系统进行MATLAB模拟仿真,实现并优化了消防机器人的越障及转弯功能。主要对电机驱动部分及整个系统软件流程进行设计。通过测试,验证了行走控制方案的可靠性。