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Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network
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作者 Lei Feng Bo Wang +2 位作者 Fuqi Ma Hengrui Ma Mohamed AMohamed 《Computer Systems Science & Engineering》 SCIE EI 2023年第8期1487-1501,共15页
As the scale of the power system continues to expand,the environment for power operations becomes more and more complex.Existing risk management and control methods for power operations can only set the same risk dete... As the scale of the power system continues to expand,the environment for power operations becomes more and more complex.Existing risk management and control methods for power operations can only set the same risk detection standard and conduct the risk detection for any scenario indiscriminately.Therefore,more reliable and accurate security control methods are urgently needed.In order to improve the accuracy and reliability of the operation risk management and control method,this paper proposes a method for identifying the key links in the whole process of electric power operation based on the spatiotemporal hybrid convolutional neural network.To provide early warning and control of targeted risks,first,the video stream is framed adaptively according to the pixel changes in the video stream.Then,the optimized MobileNet is used to extract the feature map of the video stream,which contains both time-series and static spatial scene information.The feature maps are combined and non-linearly mapped to realize the identification of dynamic operating scenes.Finally,training samples and test samples are produced by using the whole process image of a power company in Xinjiang as a case study,and the proposed algorithm is compared with the unimproved MobileNet.The experimental results demonstrated that the method proposed in this paper can accurately identify the type and start and end time of each operation link in the whole process of electric power operation,and has good real-time performance.The average accuracy of the algorithm can reach 87.8%,and the frame rate is 61 frames/s,which is of great significance for improving the reliability and accuracy of security control methods. 展开更多
关键词 Security risk management key links identifications electric power operation spatiotemporal mixing convolution neural network MobileNet network
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Multi-centric Study on Clinical Epidemiology Is the Key Link in Treating Hypertension with Integrative Chinese and Western Medicine
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作者 刘红旭 《Chinese Journal of Integrated Traditional and Western Medicine》 2004年第1期7-8,共2页
General survey ofhypertension has beencarried out in our coun—try for three times.Thelast time was in 1999,with the result showingthat in our country theincidence of hyperten-sion among people over15 years old was11... General survey ofhypertension has beencarried out in our coun—try for three times.Thelast time was in 1999,with the result showingthat in our country theincidence of hyperten-sion among people over15 years old was11.26%.The incidencehas been raised by 25% 展开更多
关键词 Multi-centric Study on Clinical Epidemiology Is the key link in Treating Hypertension with Integrative Chinese and Western Medicine EBM
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