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data compensation based on the additional feature information for collaborative interactive operation with optical human motion capture system

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第6期9卷 234-251页

作者： Xiangyang Li Rui Wang Zhe Xu Lei Pan Zhili Zhang Xi’an Research Institute of High Technology 710025 Xi’an P.R.China

As the effective capture region of optical motion capture system is limited by quantity,installation mode,resolution and focus of infrared cameras,the reflective markers on certain body parts(such as wrists,elbows,etc.)of multi-actual trainees may be obscured when they perform the collaborative interactive *** address this issue,motion data compensation method based on the additional feature information provided by the electromagnetic spatial position tracking equipment is proposed in this *** main working principle and detailed realization process of the proposed method are introduced step by step,and the practical implementation is presented to illustrate its validity and *** results show that the missing capture data and motion information of relevant obscured markers on arms can be retrieved with the proposed method,which can avoid the simulation motions of corresponding virtual operators being interrupted and deformed during the collaborative interactive operation process performed by multiactual trainees with optical human motion capture system in a limited capture range.

关键词： data compensation additional feature information collaborative interactive operation human motion capture reflective markers.

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data cleaning method for the process of acid production with flue gas based on improved random forest

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Chinese Journal of Chemical Engineering 2023年第7期59卷 72-84页

作者： Xiaoli Li Minghua Liu Kang Wang Zhiqiang Liu Guihai Li Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital CommunityMinistry of EducationBeijing 100124China Guixi Smelter Jiangxi Copper Co.LtdGuixi 335400China Beijing RTlink Technology Co. LtdBeijing 100102China

Acid production with flue gas is a complex nonlinear process with multiple variables and strong *** operation data is an important basis for state monitoring,optimal control,and fault ***,the operating environment of acid production with flue gas is complex and there is much *** data obtained by the detection equipment is seriously polluted and prone to abnormal phenomena such as data loss and ***,to solve the problem of abnormal data in the process of acid production with flue gas,a data cleaning method based on improved random forest is ***,an outlier data recognition model based on isolation forest is designed to identify and eliminate the outliers in the ***,an improved random forest regression model is *** algorithm is used to optimize the hyperparameters of the random forest regression *** the optimal parameter combination is found in the search space and the trend of data is ***,the improved random forest data cleaning method is used to compensate for the missing data after eliminating abnormal data and the data cleaning is *** show that the proposed method can accurately eliminate and compensate for the abnormal data in the process of acid production with flue *** method improves the accuracy of compensation for missing *** the data after cleaning,a more accurate model can be established,which is significant to the subsequent temperature *** conversion rate of SO_(2) can be further improved,thereby improving the yield of sulfuric acid and economic benefits.

关键词： Acid production data cleaning Isolation forest Random forest data compensation

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