Thinking and Prospect of Power Chip Specificity

Ma, Fuqi; Li, Min; Xiang, Dong; Wang, Bo; Zhou, Yinyu; Li, Jincan; Feng, Lin; Mohamed, Mohamed A.

doi:10.1155/2021/1512629

Cited by 3 publications

(1 citation statement)

References 51 publications

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“…(4) According to the method and technology proposed in this paper, with the embedded chip of NVIDIA nano [10] at the edge end, typical personnel operation scenes can be detected. Such as the start and end time of pre-shift meetings, power inspection, and pulling the disconnector during the switching operation of the personnel of a power supply company.…”

Section: Introductionmentioning

confidence: 99%

Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network

Feng¹,

Wang²,

Ma³

et al. 2023

Computer Systems Science and Engineering

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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.

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Section: Introductionmentioning

confidence: 99%

Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network

Feng¹,

Wang²,

Ma³

et al. 2023

Computer Systems Science and Engineering

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Collaborative Innovation Strategy of Supply Chain in the Context of MCU Domestic Substitution : A Differential Game Analysis

Wang

Wen

et al. 2023

Comput Econ

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The domestic substitution of the IC (the Integrated Circuit) industry improves economic efficiency and is significant in ensuring national security, which has gradually become an essential strategy for countries worldwide. Based on the background of domestic substitution of integrated circuits, we select a typical component Micro Controller Unit) as the research object, construct a three-level supply chain game model under different scenarios in a dynamic architecture, and analyze the game problem of collaborative innovation of the MCU supply chain. We fully consider the impact of factors such as time, cost and the innovation and collaborative innovation efforts of various supply chain members on the level of domestic substitution. Moreover, we put forward a two-part pricing + cost-sharing contract to achieve supply chain coordination. We found that: (1) Collaborative innovation of the supply chain in the centralized decision-making scenario achieves the highest level, followed by the cost-sharing scenario; (2) The two-part pricing + cost-sharing contract can help achieve supply chain coordination; (3) The trend of the MCU domestic substitution level with manufacturing cost is U-shaped, which means the increase of manufacturing cost may have a positive impact on the process of domestic substitution.

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Performance analysis of the global maximum power point tracking based on spider monkey optimization for PV system

Husain,

Pingale,

Bakar Khan

et al. 2023

Renewable Energy Focus

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Thinking and Prospect of Power Chip Specificity

Cited by 3 publications

References 51 publications

Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network

Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network

Collaborative Innovation Strategy of Supply Chain in the Context of MCU Domestic Substitution : A Differential Game Analysis

Performance analysis of the global maximum power point tracking based on spider monkey optimization for PV system

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