L ike their counterparts in many other emerging market economies, Chinese policymakers are facing a complex set of questions related to the desirability and appropriate mode of implementing exchange rate flexibility and capital account liberalization. The Chinese authorities have stated publicly that both exchange rate flexibility and capital account convertibility are their medium-term objectives, but they have resisted recent calls from the international community for an early move toward more flexibility.The issue has come to the fore in the context of discussions about the appropriateness of maintaining the current exchange rate regimewherein the renminbi is effectively linked to the U.S. dollar-given the rapid pace of China's reserve accumulation. Many observers have interpreted this surge in reserve accumulation over the past two years, which has reflected a rapid expansion of China's exports as well as large inflows
Compared with aspheric monofocal IOL, AcrySof ReSTOR IQ multifocal IOLs could provide a functional vision range from near to distance, resulting in high level of spectacle independence and satisfaction among patients with high myopia.
In this paper, feedforward compensation and an internal model control (IMC) PID tuning method to maintain the yarn tension within a micro-boundary range are proposed. The proposed method can be used to improve the quality of products in textile industry. We first develop a mathematical model of the AC servo motor and yarn tension system. Based on the results of the mathematical model, an IMC PID controller is designed to control the microtension of the yarn. The proposed IMC-PID controller can be directly calculated from the time constant and time delay. Feedforward control is used to compensate for the linear velocity of the winding roller. To reduce the lateral vibrations of the yarn, we designed an active roller to nip the moving yarn. The active roller compensates for the variation in the diameter of the unwinding roller. The proposed method effectively improves the dynamics performance and the robustness of the system, and is appropriate for industrial application. Experimental instruments, including a tension sensor, an AC servo motor and a motion controller, equipped with a computer, are used to test the proposed method. The simulation and experimental results show the effectiveness of the proposed controller for the yarn microtension control system.
The automatic recognition of pointers is of great significance for efficiently collecting measurements from industrial instruments. In this paper, an automatic pointer meter recognition system based on line scan vision is developed. A line scan camera is used to capture images of the pointer of a pointer meter. Light-spot centroid algorithm is implemented to determine the centroid position of the pointer. The captured images can record the dynamic movement of the pointer, thereby enabling condition monitoring in industrial processes. Experimental results show that the proposed pointer meter extraction method is robust against interference and that a characteristic segmentation classifier produces more accurate detection results than other approaches.
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