Abstract: A video information periodic broadcasting method includes segmenting video information with an equal duration to obtain video segments Si of each time series, where i is the segment serial number of the video segments. The video segments Si are connected in series in an order of ascending the segment serial numbers. Segmenting each video segment Si with an equal duration to obtain video sub-segments Si,j of each time series, where the number of the video sub-segments Si,j of each time series is equal to the segment serial number of the video segments corresponding to the same time series, j is the sub-segment serial numbers of all the video sub-segments of the video segment. The video sub-segments Si,j are connected in series in an order of ascending the sub-segment serial numbers to form the video segment Si. Transmitting the video sub-segments through multiple periodic broadcasting channels with an equal bandwidth.

Abstract: A rigid-flexible coupling gripper, includes: a support unit; a rigid gripper unit and a flexible gripper unit connected to the support unit, wherein the rigid gripper unit and the flexible gripper unit are connected in parallel; the rigid gripper unit includes a sector gear connected to the support unit and a rigid gripper connected to the sector gear and capable of moving driven by the sector gear; a motor drive unit connected to the rigid gripper unit and including a motor and a partial gear including a toothed portion and a non-toothed portion, wherein the motor is connected to the partial gear for driving the partial gear to rotate; the sector gear is configured for being meshed with the toothed portion of the partial gear; and a pneumatic drive unit connected to the flexible gripper unit for driving the flexible gripper unit into a bending deformation.

Abstract: Disclosed is an image descattering method based on iterative optimization of an atmospheric transmission matrix, including steps: S1, constructing a descattering model based on the atmospheric transmission matrix; S2, estimating a forward scattering coefficient q corresponding to a foggy day image B; S3, based on a depth map T of the foggy day image B and the forward scattering coefficient q obtained in the step S2, estimating an initial atmospheric transmission matrix A; and S4, substituting the estimated initial atmospheric transmission matrix A into the descattering model in the step S1, and performing iterative update under a constraint condition, until a value of the descattering model satisfies a convergence condition, to obtain an optimal atmospheric transmission matrix A* and an optimal descattered image X*. The image descattering method based on the iterative optimization of the atmospheric transmission matrix provided by the present application is based on the atmospheric transmission matrix.

Abstract: Present disclosure discloses a method for recovering phosphorus and iron, and use thereof. The method comprises the following steps of: S1: mixing iron salt and phosphorus-containing sewage according to the amount of the phosphorus-containing sewage to obtain a mixture, the concentration of the iron salt in the obtained mixture being 4 mg/L to 25 mg/L, fermenting the mixture at 20° C. to 60° C. for 2 days to 10 days, taking a fermentation supernatant, and removing the impurities; and S2: oxidizing the fermentation supernatant subjected to impurity removal in an acidic system. The present disclosure provides the method for recovering phosphorus and iron, which realizes high efficient recycling of phosphorus resources in sludge.

Abstract: Present disclosure discloses a method for recovering phosphorus and iron, and use thereof. The method comprises the following steps of: S1: mixing iron salt and phosphorus-containing sewage according to the amount of the phosphorus-containing sewage to obtain a mixture, the concentration of the iron salt in the obtained mixture being 4 mg/L to 25 mg/L, fermenting the mixture at 20° C. to 60° C. for 2 days to 10 days, taking a fermentation supernatant, and removing the impurities; and S2: oxidizing the fermentation supernatant subjected to impurity removal in an acidic system. The present 10 disclosure provides the method for recovering phosphorus and iron, which realizes high efficient recycling of phosphorus resources in sludge.

Abstract: A high-resolution spectral image fast acquisition apparatus comprises an illumination source, an objective lens, a beam splitter, a single shot spectral image acquisition assembly and a reference image acquisition assembly, wherein the objective lens is used to align a sample to be measured; the illumination source is used to project an illumination light onto the sample to be measured so that the sample to be measured is amplified by the objective lens; wherein one part of amplified light enters the single shot spectral image acquisition assembly so as to acquire a low-resolution spectral cube of the sample to be measured, and another part of the amplified light enters the reference image acquisition assembly to acquire a high-resolution spectral cube. The apparatus enables rapid access to high-resolution spectral images, thereby speeding up the process of using spectral images for medical diagnosis.

Abstract: The present invention provides a ranging method based on laser-line scanning imaging to effectively suppress interference of extreme weather on imaging. The method includes the following steps: acquiring priori reference images for a fixed laser-line scanning system, including respectively placing reference whiteboards at different distances, projecting line laser beams to the whiteboards, and acquiring the reference images by using a camera; placing a laser-line scanning device in a real scene, causing the laser-line scanning device to respectively emit line lasers at different angles, and acquiring an image at each scanning angle by using a camera; and performing fusion calculation on the acquired scanning image in the real scene and the priori reference images by using a ranging algorithm based on laser-line scanning, and extracting distance information of a surrounding object, to implement environment perception.

Abstract: A video information periodic broadcasting method includes segmenting video information with an equal duration to obtain video segments Si of each time series, where i is the segment serial number of the video segments. The video segments Si are connected in series in an order of ascending the segment serial numbers. Segmenting each video segment Si with an equal duration to obtain video sub-segments Si,j of each time series, where the number of the video sub-segments Si,j of each time series is equal to the segment serial number of the video segments corresponding to the same time series, j is the sub-segment serial numbers of all the video sub-segments of the video segment. The video sub-segments Si,j are connected in series in an order of ascending the sub-segment serial numbers to form the video segment Si. Transmitting the video sub-segments through multiple periodic broadcasting channels with an equal bandwidth.

Abstract: A method for quickly converting organic waste into energy, including the following steps of S1, performing anaerobic fermentation on organic waste to convert macromolecular organic matter in the organic waste into soluble small molecular organic matter to obtain fermentation liquid; S2, performing solid-liquid separation on the fermentation liquid to obtain a solid-phase part and a liquid-phase part, respectively; and S3, disposing or reusing the solid-phase part as residues, and enabling the liquid-phase part to enter a flow-catalyzed fuel cell to convert organic matter in the liquid-phase part into electrical energy. The present application can quickly and efficiently convert the organic waste into electrical energy.

Abstract: A video distribution method and apparatus and an electronic device, where the video distribution method includes: obtaining a popularity of each video program, wherein the popularity is a preference degree of a user group for a video program within a statistic time period; and determining, according the popularity of each video program, to distribute a video content of the video program through repeating broadcasting channels or by means of broadcasting on demand.

Abstract: Disclosed is an image descattering method based on iterative optimization of an atmospheric transmission matrix, including steps: S1, constructing a descattering model based on the atmospheric transmission matrix; S2, estimating a forward scattering coefficient q corresponding to a foggy day image B; S3, based on a depth map T of the foggy day image B and the forward scattering coefficient q obtained in the step S2, estimating an initial atmospheric transmission matrix A; and S4, substituting the estimated initial atmospheric transmission matrix A into the descattering model in the step S1, and performing iterative update under a constraint condition, until a value of the descattering model satisfies a convergence condition, to obtain an optimal atmospheric transmission matrix A* and an optimal descattered image X*. The image descattering method based on the iterative optimization of the atmospheric transmission matrix provided by the present application is based on the atmospheric transmission matrix.

Abstract: A method for monitoring chatter in a machining process includes the following steps: collecting an original signal related to chatter in the machining process; for the original signal, obtaining a signal segment for calculation and analysis by updating data points in a sliding window with a set step-length, where the step-length refers to a number of data points updated every time in the sliding window, and is not greater than the size of the sliding window; calculating fractal dimensions of the signal segments in the sliding window by using a fractal algorithm; and comparing the calculated fractal dimension with an identification threshold to determine whether chatter occurs in the machining process. The measured signal does not need to be preprocessed by using the method, which can greatly improve calculation efficiency and can ensure accuracy of chatter identification.

Abstract: A implicit structured light decoding method, a computer equipment and a computer-readable storage medium. The method includes: traversing an image captured by a camera to acquire a grayscale value of each pixel point and an ideal neighborhood grayscale distribution; extracting and outputting an updated output image according to the grayscale value of each pixel point and the ideal neighborhood grayscale distribution and in combination with a preset output image; classifying stripe central points in the updated output image into different stripes; determining a correspondence between stripes in the updated output image and stripes in a structured light image according to the different stripes; and decoding all stripe central points by using triangulation method in combination with the correspondence between the extracted stripes and the projected stripe pattern. This solution can efficiently and robustly decode the implicit stripe-based structured light on a basis of ensuring precision.

Abstract: A video blind denoising method based on deep learning, a computer device and a computer-readable storage medium. The method includes: taking a video sequence from a video to be denoised, taking the middle frame in the video sequence as a noisy reference frame, performing an optical flow estimation on the image corresponding to the noisy reference frame and each other frame in the video sequence, to obtain optical flow fields; transforming, according to the optical flow fields, the image corresponding to each other frame in the video sequence to the noisy reference frame for registration respectively, to obtain multi-frame noisy registration images; taking the multi-frame noisy registration images as an input of a convolutional neural network, taking the noisy reference frame as the reference image, performing iterative training and denoising by using the noise2noise training principle, to obtain the denoised image. This solution may achieve the blind denoising of a video.

Abstract: A non-invasive scattering imaging method beyond a memory effect range based on connected component optimization, including: calculating an autocorrelation image of collected speckle information, and obtaining an autocorrelation graph according to the autocorrelation image; obtaining a reconstruction result according to the autocorrelation graph, and optimizing the reconstruction result; calculating and normalizing autocorrelation of the optimized reconstruction result, to calculate initial autocorrelation of an object; obtaining a reconstruction result according to the autocorrelation of the object obtained in the previous step, calculating autocorrelation of an optimized reconstruction result by using a connected component and performing normalization, and using the autocorrelation graph to calculate autocorrelation of another object; and repeating the preceding steps of calculating autocorrelation of the two objects until a predetermined loop count is reached, and then using a phase recovery algorithm and t

Abstract: An offshore wind-solar-aquaculture integrated floater is provided, including vertical-axis wind turbine systems, solar photovoltaic panels, and a cube aquaculture cage. Four vertical-axis wind turbine systems are respectively rigidly connected to four corners of the cage; solar photovoltaic panels and a living and working quarter are located on cage deck; and side frames of the cage are equipped with tensile nets, the bottom frame of cage is equipped with a bottom net, and columns of the cage are equipped with lifting rails. This floater has good stability, sea-keeping performance and high strength. Utilizations of offshore wind and solar energy above the cage are high and they complement each other in power generation. This disclosure manages to exploit ocean resources to an unprecedentedly large extent, while resolving the issue of combing power generation with marine aquaculture in moderate and deep seas.

Abstract: The present invention provides a ranging method based on laser-line scanning imaging to effectively suppress interference of extreme weather on imaging. The method includes the following steps: acquiring priori reference images for a fixed laser-line scanning system, including respectively placing reference whiteboards at different distances, projecting line laser beams to the whiteboards, and acquiring the reference images by using a camera; placing a laser-line scanning device in a real scene, causing the laser-line scanning device to respectively emit line lasers at different angles, and acquiring an image at each scanning angle by using a camera; and performing fusion calculation on the acquired scanning image in the real scene and the priori reference images by using a ranging algorithm based on laser-line scanning, and extracting distance information of a surrounding object, to implement environment perception.