Predictive dead time generating circuit

    公开(公告)号:US10530258B1

    公开(公告)日:2020-01-07

    申请号:US16392664

    申请日:2019-04-24

    Abstract: A predictive dead time generating circuit includes a dead time detecting module configured to detect a dead time between the switching off of the upper power transistor and the switching on of the lower power transistor, and a dead time between the switching off of the lower power transistor and the switching on of the upper power transistor, and to generate a first detecting signal and a second detecting signal according to the condition of whether the detected dead time reaches an optimal value. The logic control module changes the output of the delay module according to the judgment result of the dead time detecting module, so as to change the dead time between the driving signal of the upper power transistor and the driving signal of the lower power transistor.

    METHOD FOR 3D WAVEFORM MAPPING OF FULL-PARALLEL STRUCTURE

    公开(公告)号:US20190392551A1

    公开(公告)日:2019-12-26

    申请号:US16435465

    申请日:2019-06-08

    Abstract: The present invention provides a method for 3D waveform mapping of full-parallel structure, first, a 3D waveform mapping database is created according to the size of a 3D waveform image, the number of bits of probability value and the ADC's resolution of data acquisition module, then the 3D waveform mapping database is divided into Mt×Ma independent mapping storage areas along the time axis and the amplitude axis, and each independent mapping storage area is assigned a RAM, then RAMs are selected and addresses are calculated based on the sampling values and the structure of created 3D waveform mapping database, finally, parallel mappings are performed simultaneously on the time axis and the amplitude axis according to the selected RAMs and calculated addresses. Thus, the mapping time are shorten, especially in vector mapping mode, several RAMs are used for mapping, so the WCR of DSO is improved.

    Optical-readout synaptic device based on SiOxNy and preparation method thereof

    公开(公告)号:US10475996B2

    公开(公告)日:2019-11-12

    申请号:US15989188

    申请日:2018-05-25

    Abstract: An optical-readout synaptic device based on SiOxNy and a preparation method thereof are provided. The device includes a surface plasmonic waveguide and a memristor; the surface plasmonic waveguide has a vertical three-layer structure that a second metal layer, a SiNx dielectric layer and a first metal layer are successively arranged from top to bottom; the memristor has a vertical four-layer structure that a second electrode layer, a second resistive layer, a first resistive layer and a first electrode layer are successively arranged from top to bottom; the memristor is embedded in the surface plasmonic waveguide; and, the first resistive layer and the second resistive layer of the memristor serve as an optical signal transmission channel that is horizontally connected with the SiNx dielectric layer of the surface plasmonic waveguide. The present invention realizes an optical-readout of synaptic weight and has incomparable advantages over a conventional electrical-readout synaptic device.

    METHOD, DEVICE AND STORAGE MEDIUM FOR EXTRACTING HEIGHT AND DEFORMATION INFORMATION OF HIGH VOLTAGE TRANSMISSION TOWER BY USING SAR TOMOGRAPHY

    公开(公告)号:US20190339381A1

    公开(公告)日:2019-11-07

    申请号:US16169053

    申请日:2018-10-24

    Abstract: A method, a device and a storage medium for extracting height and deformation information of a high voltage transmission tower by using SAR tomography are disclosed. A Spaceborne satellite is used to obtain a plurality of high resolution SAR images of a region having a high voltage transmission tower. The images are then pre-processed via registration, dechirp and phase compensation to obtain observation data. The observation data is then discretized. Then the discretized observation data is resampled by using singular value decomposition, and Akaike information criterion is used to estimate the number of scattering points in the resampled observation data. The obtained number of the scattering points is used to eliminate the singular values in the reconstructed signal. Finally, the sparsity of the observation data is used together with compression sensing to realize signal reconstruction, thereby extracting the height and deformation rate at a position on the high voltage transmission tower.

    SEMICONDUCTOR STRUCTURE, SEMICONDUCTOR ASSEMBLY AND POWER SEMICONDUCTOR DEVICE

    公开(公告)号:US20190305080A1

    公开(公告)日:2019-10-03

    申请号:US15737523

    申请日:2016-08-17

    Abstract: A semiconductor structure, a semiconductor assembly and a power semiconductor device. The semiconductor structure includes: a P-type semiconductor material layer; an N-type semiconductor material layer adjacent to the P-type semiconductor material layer, wherein the N-type semiconductor material layer and the P-type semiconductor material layer together from a PN junction; and a plurality of insulating material layers located outside the PN junction and distributed along the superposition direction of the P-type semiconductor material layer and the N-type semiconductor material layer, wherein the relative dielectric constants of the adjacent insulating material layers are different. The semiconductor structure in the present invention significantly optimizes the distribution of an electric field during the off-state high voltage operation of a device, greatly improves the breakdown voltage of the device, avoids the premature breakdown of the device caused by the concentration effect of the electric field at the edge of the junction.

    METHOD FOR SEPARATING OUT A DEFECT IMAGE FROM A THERMOGRAM SEQUENCE BASED ON FEATURE EXTRACTION AND MULTI-OBJECTIVE OPTIMIZATION

    公开(公告)号:US20190228517A1

    公开(公告)日:2019-07-25

    申请号:US16370136

    申请日:2019-03-29

    Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization. The multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same cluster, but also considers the dissimilarities between the RTTR and the TTRs in other clusters, the RTTR is more representative, which guarantees the accuracy of describing the defect outline.

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