By David Jin; Helen Zhang; X J Zhao

ISBN-10: 3038139831

ISBN-13: 9783038139836

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Knowledge Acquisition. 199-220. D. Li: The Development of Remote-Sensing Related Standards at FGDC, OGC, and ISO TC 211. 643-647. com Keywords: Argon Oxygen refining; ferroalloy; End-point control Abstract. In this article, we studied Ferroalloy Smelting process, we made use of AOD furnace to smell Ferroalloy. For AOD furnace high temperature, and more dust, AOD furnace mechanism model nonlinear, and uncertainty, and strong coupled features, Aiming at these features we designed argon oxygen refining ferroally’s end_point forecast and end_point control tactics which based on online detection.

Related work In recent years, many researchers have dedicated to improve data retrieval performance in consideration of semantic characteristics. For example, WANG presented a semantic high-level retrieval algorithm and a semantic relevance feedback algorithm, which effectively depict data’s high-level semantic [2]. [3] puts forward a new method of extracting objects spatial relationships semantics to narrow down the semantic gap problem in data retrieval. Nevertheless, methods proposed above do not aim at remote sensing domain.

Control system modeling. the general scheme of the close-loop feedback control system is promoted as Fig. 3[4],[5]. Fig. J. Zhao 39 The electromagnet driving circuit of MR dampers is consist of the damper coils and the current driver based on the pulse-width modulation (PWM) technology[6]. The amount of Fτ can be controlled by the operating current, activated by PWM signal. The damping force and the velocity transducer signals, converted by A/D, as well as the reference signal are input to the DSP controller, by which control algorithm is carried out and the PWM signal with a certain duty cycle is output to activate the drive circuit and the optimal damping force is achieved [6].

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Advanced research on intelligent systems and mechanical engineering : selected, peer reviewed papers from the 2012 2nd International Conference on Intelligent Materials and Mechanical Engineering (MEE2012), December 22-23, 2012, Yichang, China by David Jin; Helen Zhang; X J Zhao


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