Abstract: A method for improving estimation of leaf area index in an early growth stage of wheat based on red-edge bands of Sentinel-2 satellite images includes the following steps: acquiring field background spectrum and wheat canopy spectrum information by means of Sentinel-2; respectively acquiring a “straw-soil” spectrum and a “wheat-straw-soil” spectrum, and calculating slopes of red-edge areas of the “straw-soil” spectrum and the “wheat-straw-soil” spectrum; calculating a tangent function SATF corrected by a background adjustment coefficient ?; constructing a wheat LAI estimation model based on a spectral variable SATFNIR-RE2; performing preliminary screening on the LAI estimation model using cross validation; and then testing the screened model with independent data.

Abstract: Disclosed are a method and device for recognizing a video. One specific embodiment of the method comprises: obtaining a video to be identified; inputting said video to a pre-trained local and global representation propagation LGD model to obtain the category of said video, wherein the LGD model learns a spatial-temporal representation in said video based on diffusion between local and global representations. According to this embodiment, the spatial-temporal representation in the video is learned based on diffusion between the local and global representations.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: The present invention relates to the fields of microorgan-isms, feed, food and ecological restoration, in particular to a strain for degrading deoxynivalenol (DON) and the use thereof. The strain has the deposit number CCTCC No. M 2020565. The strain can grow by means of taking the toxic compound DON as a sole carbon source, and convert the DON into chemical components for itself. The reaction process is irreversible, the reaction conditions are moderate, and secondary pollu-tion cannot be caused. The strain provided in the present invention can be used for preparing a biological detoxification preparation for DON. The strain provided in the present invention can be used for degrading DON in feed and food raw materials, primary processing products, deep processing products and related processing byproducts. The strain provided in the present invention can be applied to various ecosystems such as soil or bodies of water polluted by DON to achieve the purposes of DON degradation and ecological restoration.

Abstract: The present application provides a preparation method for a core-shell structured tungsten/gadolinium oxide functional fiber for X and ? ray protection, comprising: first preparing a core-shell structured tungsten/gadolinium oxide powder; preparing a W@Gd2O3/PP blended melt from the powder; and preparing a W@Gd2O3/PP composite fiber from the blended melt. The core-shell structured tungsten/gadolinium oxide functional fiber prepared by the method can play a role in synergistic protection in the aspect of radiation protection, eliminate a weak protection area, and effectively absorb secondary radiation generated by radiation. Secondly, the prepared functional fiber has the characteristics of no lead and light weight, and has good application prospects in the aspect of X and ? ray radiation protection.

Abstract: A mobile robot map construction method and apparatus, and a computer device and a storage medium. The mobile robot map construction method comprises: acquiring the number of floors and current floor information (S202); acquiring point cloud data of an environment around the current location by means of a laser radar, acquiring image data of the environment around the current location by means of a camera, and constructing an environment map according to the point cloud data and the image data and labeling a glass location (S204); determining whether there is an area to be detected in the environment map, and if there is an area to be detected, detecting said area according to a pre-set rule (S206); and if there is no area to be detected, moving to the nearest elevator in an obstacle avoidance mode according to an elevator location marked on the environment map, and taking the elevator to an undetected floor until environment map construction of all undetected floors is completed (S208).

Abstract: The invention provides a laser processing system having the function of optical diffraction tomography, comprising: an integrated imaging optical path and a processing optical path; the imaging optical path is used to perform optical diffraction tomography on the device to be processed; the processing optical path is used for processing the device to be processed. Moreover, the specific optical path structure is introduced. During the processing of the device to be processed, the laser processing system can also perform real-time imaging of the device to be processed without shifting the device to be processed. That is to say, the laser processing and imaging processing of the device to be processed can be realized at the same time in a laser processing system.

Abstract: By the abovementioned technical solutions, the present disclosure provides optimizing a vector autoregressive model conforming to structural constraints of sparsity and acyclicity. A regularization term is introduced to the model to impose the sparsity structural constraint such that most off-diagonal coefficients of an autoregressive coefficient matrix are forced to zero values. One or more penalty terms are introduced to the model to impose the acyclicity structural constraint such that coefficients of the main diagonal are not causally self-related. The resulting model is then reformulated for computation as an augmented Lagrangian function, and further computed for different parameters in alternating iterations to make the computations tractable and within magnitude and precision limits of digital computers.

Abstract: A method for identifying an individual of an oplegnathus punctatus based on a convolutional neural network is provided. Target initial positioning involves three continuous convolutional layers and an average pooling layer. A region of feature interest point is obtained, a hyperparameter candidate box is set to obtain a region, thereby obtaining an approximate position of a target object. II_Net backbone convolutional neural network includes six convolutional layers and four pooling layers, which includes a LeakyReLU activation function used as an activation function of the first convolutional layer, convolutional network layers of Alexnet and parameter data, and a maximum pooling layer of an overlapped pooling structure. Fully connected layers use a genetic algorithm to improve data transmission between layers. With the established model, identification of the individual of the oplegnathus punctatus is performed by using test data.

Abstract: Time series decomposition method and system are provided. Time series data including at least a seasonality component is received. A noise removal filter may be applied to the time series data. Furthermore, a trend component and the seasonality component are extracted from the time series data. A residual component may subsequently be extracted from the time series data based on the trend component and the seasonality component. Anomaly detection may then be performed on the trend component or the residual component to determine whether an anomaly exists in the time series data.

Abstract: Input time series data of a particular time length may be received, and pre-processed to obtain processed time series data. The processed time series data may then be decomposed into a plurality of pieces of time series data of the particular time length at different levels, and a detection of whether a piece of time series data at a particular level includes a periodic component candidate in a frequency domain may be performed. In response to detecting that the piece of time series data at the particular level includes the periodic component candidate in the frequency domain, a validation may be performed to determine whether the periodic component candidate in the piece of time series data at the particular level is a true periodic component of the input time series data in a time domain.

Abstract: By the abovementioned technical solutions, the present disclosure provides optimizing a vector autoregressive model conforming to structural constraints of sparsity and acyclicity. A regularization term is introduced to the model to impose the sparsity structural constraint such that most off-diagonal coefficients of an autoregressive coefficient matrix are forced to zero values. One or more penalty terms are introduced to the model to impose the acyclicity structural constraint such that coefficients of the main diagonal are not causally self-related. The resulting model is then reformulated for computation as an augmented Lagrangian function, and further computed for different parameters in alternating iterations to make the computations tractable and within magnitude and precision limits of digital computers.

Abstract: Time series decomposition method and system are provided. Time series data including at least a seasonality component is received. A noise removal filter may be applied to the time series data. Furthermore, a trend component and the seasonality component are extracted from the time series data. A residual component may subsequently be extracted from the time series data based on the trend component and the seasonality component. Anomaly detection may then be performed on the trend component or the residual component to determine whether an anomaly exists in the time series data.

Abstract: Input time series data of a particular time length may be received, and pre-processed to obtain processed time series data. The processed time series data may then be decomposed into a plurality of pieces of time series data of the particular time length at different levels, and a detection of whether a piece of time series data at a particular level includes a periodic component candidate in a frequency domain may be performed. In response to detecting that the piece of time series data at the particular level includes the periodic component candidate in the frequency domain, a validation may be performed to determine whether the periodic component candidate in the piece of time series data at the particular level is a true periodic component of the input time series data in a time domain.

Abstract: An electrical connector includes: an insulative housing comprising a base portion defining a rearward surface and a tongue portion extending forwardly from the base portion; plural conductive terminals affixed to the insulative housing and each having a contacting portion exposed to the top and bottom surfaces of the tongue portion, a fixing portion embedded in the base portion, and a soldering portion extending backwardly out of the base portion; a shielding plate affixed to the insulative housing; a shielding shell covering the insulative housing and defining a sol space with the rearward surface of the base portion; and a waterproof sheet; wherein the base portion further comprises a stepped portion in the sol space, the waterproof sheet is formed by solidification of liquid insulative material flowing from the stepped portion to the rearward surface, and the waterproof sheet encloses the stepped portion.

Abstract: An electrical connector includes: an upper and lower terminal modules each including plural terminals; a metallic plate secured between the upper and lower modules; a metallic bracket accommodating the secured metallic plate and upper and lower terminal modules; and an insulative body insert-molding the metallic bracket with the secured metallic plate and upper and lower terminal modules to form a tongue exposing the terminals of each of the upper and lower terminal modules. The metallic bracket contacts the metallic plate and borders the tongue.

Abstract: An electrical connector includes: an insulative housing comprising a base portion and a tongue portion extending forwardly from the base portion; a number of upper and low terminals mounted in the insulative housing and exposed to an upper surface and a lower surface of the tongue portion, the upper terminals and the lower terminals being equal in number, both the upper terminals and the lower terminals comprising five intermediate terminals arranged centrally in succession and one grounding terminal spaced from the five intermediate terminals by two terminal positions, each of the five intermediate terminals having a reserved space for not arranging a terminal, the five intermediate terminals comprising an auxiliary terminal; and a shielding plate disposed between the upper terminals and the lower terminals.

Abstract: An electrical connector for mounting on a printed circuit board includes an insulative housing having an upper contact module and a lower contact module. A row of upper contacts are retained in the upper contact module and a row of lower contacts are retained in the lower contact module. The row of upper contacts and the row of lower contacts includes plural conductive contacts and a pair of grounding contacts located at opposite sides of the conductive contacts. Each conductive contact is covered by matching surfaces of the upper contact module and the lower contact module, and each grounding contact is exposed on the matching surfaces of the upper contact module and the lower contact module. A shielding plate contacts the pair of grounding contacts in an up-to-down direction.

Abstract: An electrical connector includes an insulative housing, a number of conductive contacts affixed to the insulative housing, a middle shielding plate affixed to the insulative housing, a shielding shell enclosing the insulative housing for forming a mating room; and an outer metal shell enclosing the shielding shell. The insulative housing has a base portion and a tongue portion extending forwardly from the base portion. The electrical connector further includes a sealer with an o-ring at a front end thereof. The sealer is insert-molded with the shielding shell for forming a waterproof structure enclosing the insulative housing. A front end of the outer metal shell resists the sealer. The outer metal shell encloses the sealer, making the sealer attach to shielding shell firmly. The sealer achieves a good waterproof effect.

Abstract: An electrical connector includes: an insulative housing having a base portion and a tongue portion extending forwardly from the base portion; a number of terminals retained in the insulative housing; a shielding shell attached to the insulative housing to form a receiving space; a metal shell for mounting on a printed circuit board, the metal shell being affixed to the shielding shell; and an insulative shell insert-molded with the metal shell and enclosing the shielding shell.