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公开(公告)号：US11694431B2
公开(公告)日：2023-07-04
申请号：US17479120
申请日：2021-09-20
IPC分类号： G06N7/01 , G06V20/00 , G06F17/16 , G06T7/246 , H02J3/38 , G06V20/40 , G06F18/213 , G06V10/764 , G06V10/77
CPC分类号： G06V20/00 , G06F17/16 , G06F18/213 , G06N7/01 , G06T7/246 , G06V10/764 , G06V10/7715 , G06V20/38 , G06V20/41 , G06V20/46 , H02J3/38 , H02J3/381 , H02J2300/22
摘要： Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.
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公开(公告)号：US20220004772A1
公开(公告)日：2022-01-06
申请号：US17479120
申请日：2021-09-20
摘要： Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.
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公开(公告)号：US11132551B2
公开(公告)日：2021-09-28
申请号：US16441939
申请日：2019-06-14
摘要： Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.
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4.发明申请公开(公告)号：US20190384983A1
公开(公告)日：2019-12-19
申请号：US16441939
申请日：2019-06-14
摘要： Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.
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5.发明申请公开(公告)号：US20180197046A1
公开(公告)日：2018-07-12
申请号：US15869780
申请日：2018-01-12
CPC分类号： G06K9/6255 , G06K9/20 , G06K9/4628 , G06K9/6231 , G06K9/6268 , G06K9/627 , G06N3/0445 , G06N3/0454 , G06N3/0472 , G06N3/08 , G06N3/084
摘要： The disclosure relates to an image recognition algorithm implemented by a hardware control system which operates directly on data from a compressed sensing camera. A computationally expensive image reconstruction step can be avoided, allowing faster operation and reducing the computing requirements of the system. The method may implement an algorithm that can operate at speeds comparable to an equivalent approach operating on a conventional camera's output. In addition, at high compression ratios, the algorithm can outperform approaches in which an image is first reconstructed and then classified.
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公开(公告)号：US11481881B2
公开(公告)日：2022-10-25
申请号：US16901961
申请日：2020-06-15
摘要： Various embodiments of systems and methods for adaptive video subsampling for energy-efficient object detection are disclosed herein.
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公开(公告)号：US20210012472A1
公开(公告)日：2021-01-14
申请号：US16901961
申请日：2020-06-15
摘要： Various embodiments of systems and methods for adaptive video subsampling for energy-efficient object detection are disclosed herein.
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8.发明授权公开(公告)号：US10387751B2
公开(公告)日：2019-08-20
申请号：US15869780
申请日：2018-01-12
摘要： The disclosure relates to an image recognition algorithm implemented by a hardware control system which operates directly on data from a compressed sensing camera. A computationally expensive image reconstruction step can be avoided, allowing faster operation and reducing the computing requirements of the system. The method may implement an algorithm that can operate at speeds comparable to an equivalent approach operating on a conventional camera's output. In addition, at high compression ratios, the algorithm can outperform approaches in which an image is first reconstructed and then classified.
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公开(公告)号：US11765609B2
公开(公告)日：2023-09-19
申请号：US17345652
申请日：2021-06-11
摘要： A system estimates spectral radius and leverages local updates from neighboring nodes in a wireless network to iteratively update state values of each node in the network and estimate a spectral radius of the network with guaranteed convergence. A method associated with the system method is a distributed method that efficiently converges to an invertible function of the spectral radius based only on local communications of the network for digital communication models in the presence and/or absence of packet loss, as opposed to conventional centralized methods.
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公开(公告)号：US11621668B2
公开(公告)日：2023-04-04
申请号：US16868050
申请日：2020-05-06
摘要： Solar array fault detection, classification, and localization using deep neural nets is provided. A fault-identifying neural network uses a cyber-physical system (CPS) approach to fault detection in photovoltaic (PV) arrays. Customized neural network algorithms are deployed in feedforward neural networks for fault detection and identification from monitoring devices that sense data and actuate each individual module in a PV array. This approach improves efficiency by detecting and classifying a wide variety of faults and commonly occurring conditions (e.g., eight faults/conditions concurrently) that affect power output in utility scale PV arrays.
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