Abstract: The present disclosure relates to a curvature-based signal segmentation method for solar-blind ultraviolet (UV) photodetectors, including the steps of: collecting solar-blind UV radiation using solar-blind UV photodetectors according to a preset sampling time and generating the same into sampled signals; performing noise reduction on the sampled signals to generate filtered signals using a fractional calculus digital filter; calculating estimated curvatures of the filtered signals using a method of circle fitting by discrete points, and numerically optimizing the estimated curvatures using an exponential function to obtain curvature vectors of the filtered signals; and calculating weight coefficients and weighting the filtered signals using a moving average filter function and a binarization method according to the curvature vectors.

Abstract: A method for extracting a wear particle feature signal based on segmentation entropy is provided, including obtaining a raw signal to be processed by performing real-time data acquisition using a lubricating oil wear particle monitoring system; obtaining a preprocessed signal by performing low-pass filtering and harmonic interference suppression on the raw signal to be processed; dividing the preprocessed signal into a plurality of time domain sequence segments with a sliding window; calculating segmentation entropy corresponding to each time domain sequence segment, normalizing a segmentation entropy set to obtain normalized segmentation entropy; obtaining an adaptive threshold through curve fitting based on empirical cumulative distribution of normalized segmentation entropy, obtaining a plurality of non-zero discrete time domain signal segments by segmenting the preprocessed signal by the adaptive threshold; and obtaining final extraction results of the wear particle feature signal by excluding residual no

Abstract: The present disclosure relates to the technical field of marine fish cultivation and breeding, and in particular to an industrialized cultivation method for a Cephalopholissonnerati fry. The method includes: a step of sequentially performing food acclimation and nutrient enrichment on a Cephalopholissonnerati parent fish under conditions of 25-29° C. of water temperature and running water, to obtain the parent fish with mature gonad development, and other steps.

Abstract: A method for displaying and detecting temperature field distribution of a fluid surface applies a stimulus-responsive compound to high-resolution and high-precision imaging of a temperature field of a fluid for the first time. Under physical or chemical stimulation, an imaging developer visualizes the temperature field distribution of the fluid surface. The method for displaying and detecting temperature field distribution of the fluid surface includes dissolving or dispersing an imaging reagent in a fluid, stimulating the fluid surface to change a color or a fluorescence of the imaging reagent, collecting images of a generated color or a generated fluorescence to obtain a temperature field distribution diagram of the fluid surface.

Abstract: The present disclosure relates to the technical field of marine fish cultivation and breeding, and in particular to an industrialized cultivation method for a cephalopholissonnerati fry. The method includes: a step of sequentially performing food acclimation and nutrient enrichment on a cephalopholissonnerati parent fish under conditions of 25-29° C. of water temperature and running water, to obtain the parent fish with mature gonad development, and other steps.

Abstract: The present disclosure relates to a curvature-based signal segmentation method for solar-blind ultraviolet (UV) photodetectors, including the steps of: collecting solar-blind UV radiation using solar-blind UV photodetectors according to a preset sampling time and generating the same into sampled signals; performing noise reduction on the sampled signals to generate filtered signals using a fractional calculus digital filter; calculating estimated curvatures of the filtered signals using a method of circle fitting by discrete points, and numerically optimizing the estimated curvatures using an exponential function to obtain curvature vectors of the filtered signals; and calculating weight coefficients and weighting the filtered signals using a moving average filter function and a binarization method according to the curvature vectors.

Abstract: An FPGA-based USB3.0/3.1 control system, including: a USB control module including a USB3.0 control module and/or a USB3.1 control module; a PCS logic module connected to the USB control module via a PIPE interface; an FPGA Serdes serial communication module connected to the PCS logic module; and an external daughter card module connected to the FPGA Serdes serial communication module, wherein the PCS logic module, the FPGA Serdes serial communication module and the external daughter card module are connected in sequence to achieve a port physical layer function for testing the USB 3.0 control module and the USB 3.1 control module. The control system solves the cumbersome problems of incomplete emulation verification, test mode limitations, and unchangeable hardware functions in the prior art.

Abstract: An optical driving apparatus, including: a fixed member; a driven member that is movable with respect to the fixed member; and a guiding member that restricts the driven member from moving in a predetermined direction with respect to the fixed member, wherein the guiding member has: a first groove in a V-shaped cross-sectional shape, which is formed on any one of the fixed member or the driven member; a first convex portion fitting into the first groove, which is formed on another of the fixed member or the driven member; and a plurality of microspheres interposed in a gap between the first groove and the first convex portion and disposed in a longitudinal direction of the first groove and in a direction perpendicular to the longitudinal direction to generate rolling friction.

Abstract: Embodiments described in the present application provide a video processing method, device, computer equipment, and storage medium, displaying a video picture of a panoramic video through a user interface, and, in response to a selection operation on the video picture, determining a target object to be photographed in the panoramic video, then, acquiring a target shooting field of view of the target object in the video picture, and in response to the video shooting instruction, performing video recording on the target object based on the target shooting field of view to generate a target planar video. The embodiment of the present application can simplify the steps of obtaining the target planar video from the panoramic video and improve the efficiency of acquiring a target planar video from a panoramic video.

Abstract: A method and system for genomic selection of a non-family and low-heritability variety are provided. The method includes: evaluating a single nucleotide polymorphisms (SNPs) effect size based on a non-equivalent condition of SNPs by correcting a correlation relationship between the SNPs; and breeding the non-family and low-heritability variety based on the SNPs effect size. In the present disclosure, the method for evaluating the SNPs effect size can be used for breeding the non-family and low-heritability variety.

Abstract: A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A USB protocol-based IP infringement identification method for USB devices, including the following steps: S1, connecting an infringement identification device at a peer side of the USB host to be tested; S2, the USB host to be tested entering compliance mode; S3, the infringement identification device sending an X.LFPS file to the USB host to be tested; S4, upon the USB host to be tested receiving the X.LFPS file, the USB host to be tested sending IP copyright information to the infringement identification device; S5, determining whether the USB host to be tested infringes the IP. The infringement identification of the USB device to be tested is performed by using the compliance mode specified in the USB protocol, which is more stable, reliable and can also save costs.

Abstract: An FPGA-based USB3.0/3.1 control system, including: a USB control module including a USB3.0 control module and/or a USB3.1 control module; a PCS logic module connected to the USB control module via a PIPE interface; an FPGA Serdes serial communication module connected to the PCS logic module; and an external daughter card module connected to the FPGA Serdes serial communication module, wherein the PCS logic module, the FPGA Serdes serial communication module and the external daughter card module are connected in sequence to achieve a port physical layer function for testing the USB 3.0 control module and the USB 3.1 control module. The control system solves the cumbersome problems of incomplete emulation verification, test mode limitations, and unchangeable hardware functions in the prior art.

Abstract: A USB protocol-based IP infringement identification method for USB devices, including the following steps: S1, connecting an infringement identification device at a peer side of the USB host to be tested; S2, the USB host to be tested entering compliance mode; S3, the infringement identification device sending an X.LFPS file to the USB host to be tested; S4, upon the USB host to be tested receiving the X.LFPS file, the USB host to be tested sending IP copyright information to the infringement identification device; S5, determining whether the USB host to be tested infringes the IP. The infringement identification of the USB device to be tested is performed by using the compliance mode specified in the USB protocol, which is more stable, reliable and can also save costs.

Abstract: A scramble and descramble hardware implementation method based on data bit width expansion. After expansion, redundant terms are eliminated, and scramble/descramble operation results within the current operation cycle and the value of the shift register after shifting are calculated at once. The present method exhibits advantageous effects with respect to the scramble and descramble polynomial defined by USB3.1 and PCI-Express3.0 protocols, and can obtain a relatively small hardware delay, so that the system can work at a higher frequency.

Abstract: A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A scramble and descramble hardware implementation method based on data bit width expansion. After expansion, redundant terms are eliminated, and scramble/descramble operation results within the current operation cycle and the value of the shift register after shifting are calculated at once. The present method exhibits advantageous effects with respect to the scramble and descramble polynomial defined by USB3.1 and PCI-Express3.0 protocols, and can obtain a relatively small hardware delay, so that the system can work at a higher frequency.

Abstract: A non-spectral computed tomography scanner (102) includes a radiation source (112) configured to emit x-ray radiation, a detector array (114) configured to detect x-ray radiation and generate non-spectral data, and a memory (134) configured to store a spectral image module (130) that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor (126) configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A method for displaying and detecting temperature field distribution of a fluid surface applies a stimulus-responsive compound to high-resolution and high-precision imaging of a temperature field of a fluid for the first time. Under physical or chemical stimulation, an imaging developer visualizes the temperature field distribution of the fluid surface. The method for displaying and detecting temperature field distribution of the fluid surface includes dissolving or dispersing an imaging reagent in a fluid, stimulating the fluid surface to change a color or a fluorescence of the imaging reagent, collecting images of a generated color or a generated fluorescence to obtain a temperature field distribution diagram of the fluid surface.

Abstract: A DHCP server implementation includes transmission of a DHCP packet from a virtual machine executing on a server node to a node agent executing on the server node, generation, by the node agent, of a DHCP response packet based on the DHCP packet and on DHCP information previously stored in a local memory of the server node, and transmission of the DHCP response packet from the node agent to the virtual machine. Neither the DHCP packet transmitted by the virtual machine nor the DHCP response packet are transmitted out of the server node.