Significant effects of Tai Chi have been found in improving aerobic endurance and psychosocial well-being among coronary heart disease patients. Tai Chi could be a cost-effective and safe exercise option in cardiac rehabilitation. However, the effect of Tai Chi on cardiovascular disease risk reduction has not been amply investigated among coronary heart disease patients. Caution is also warranted in view of a small number of studies for this meta-analysis and potential heterogeneity in differences in the varied designs of Tai Chi intervention.

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A robotic arm control system based on LabVIEW and FPGA is presented in this paper. It is built with USB camera, PC, FPGA development board and 4-DOF robotic arm. In a way with high performance-price ratio and strong expandability, the system achieves a series of functions: capturing and processing images, identifying the target, planning the path, driving the actuators, and finally, grasping the target. Users can not only monitor the situation of the workbench, but also real-timely grasp the object in the area.

The 6-DOF parallel platform has a strong carrying capacity, good structural stability. But it also has problems such as high cost, complexity of controlling and so on. The traditional process of forward solutions for 6-DOF parallel platform is complex and there is no fixed formula for solving this kind of nonlinear problems. The commonly used method is numerical analysis method which is solving slowly and has a large amount of calculation. Although neural networks and fuzzy control can be very good at nonlinear mapping, its calculating speed will affect real-time control and simulation results. Therefore, this paper based on existing neural network calculation method, proposing a new method for calculating the best number of neural network’s hidden layer’s nodes and the bubbling contraction algorithms for the 6-DOF platform forward solutions. From two perspectives can this paper improved control performance on the 6-DOF platform, and finally this paper gives its Matlab and Simulink simulation model design for further research.

This streetlight monitoring system is aimed at preventing unnecessary energy wastage by applying the GSM (Global System for Mobile Communications) technology. This system consists of two parts: the monitoring centre and the terminal nodes. The Siemens TC35 GSM module is used to send and receive short messages and it is installed in the monitoring centre and each streetlight. ATmega168 is used to determine whether or not it is necessary for the streetlights to be turned on, and then it executes commands from the control centre. When the sky is bright enough for drivers, the streetlights will automatically turn off. Also, if some streetlights are broken down, the TC35 GSM module will send an alarm short message to the monitoring centre and maintenance personnel will repair the lights as soon as possible. Thus, maintenance personnel will no longer have to make time-consuming visits to check up on the function status of every streetlight. All information is presented in the monitoring computer which is programmed in LabVIEW. The workman can easily turn on or off any streetlight by clicking on the screen.