Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: A packet processing method and system, and a network device are disclosed, and belong to the field of network technologies. A first network device sends a first packet to a second network device through a first tunnel, and sends a second packet to a third network device through a second tunnel. The second network device forwards the first packet to the third network device through a third tunnel. The third network device processes the first packet and the second packet. The first network device is located at a first site. The second network device and the third network device are located at a second site. The first site and the second site are connected through a wide area network. Wide area network multipath transmission may be implemented in a multi-gateway scenario.

Abstract: A biosensing platform for in-situ sampling and target detection based on upconversion luminescence, including: an upconversion luminescent paper-based microfluidic device, an upconversion luminescent biosensor, and a portable detection device based on smartphone imaging. The upconversion luminescent paper-based microfluidic device is configured to sample a to-be-detected substance in situ. The upconversion luminescent biosensor is configured to allow a target to specifically recognize the to-be-detected substance. The portable detection device is configured to detect a content of the to-be-detected substance. The upconversion luminescent biosensor is prepared as follows. (S1) An upconversion nanoparticle seed is prepared. (S2) Core-shell upconversion nanoparticles are prepared. (S3) Core-shell-shell upconversion nanoparticles (UCNPs) are prepared. (S4) The UCNPs is subjected to hydrophilic modification. (S5) The hydrophilically-modified UCNPs are modified with DNA.

Abstract: A system is described for redirecting multimedia in a collaborative session on a virtual desktop. The virtual desktop session can be established, and collaborator virtual desktop clients can be connected in a collaborative session where each collaborator can view the desktop GUI in their respective virtual desktop client. A request can be received to play media in a media player in the virtual desktop. The media stream can be intercepted in the virtual desktop before it is rendered in the media player and conveyed to each collaborator's client over a separate virtual channel established between the virtual desktop and each collaborator. The data stream can then be rendered in a client media player by each collaborator's client.

Abstract: The disclosure provides a method for universal naming convention (UNC) path redirection between a local desktop and a remote desktop. The method generally includes selecting, by a client device in an internal network, via an application running on a remote desktop in an external network, to open a UNC path for a resource located in the internal network. A firewall restricts the external network to access the resource located in the internal network. The method generally includes receiving, at the client device, from the remote desktop, via a virtual channel between the external network and the client device in the internal network, a message indicating to open the UNC path. The method generally includes opening, by the client device, via a local application of the client device, the UNC path to access the resource located in the internal network.

Abstract: The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.

Abstract: The present application relates to a permeability evaluation method for hydrate-bearing sediment, including a complex conductivity spectrum obtaining step, a hydrate saturation calculating step based on the spectrum, a formation factor calculating step based on Archie's first law or from the complex conductivity real part, imaginary part and a conductivity of pore water; and a permeability calculating step based on relaxation time, hydrate saturation, hydrate occurrence mode correction factor and formation factor, or based on the polarization amplitude, hydrate saturation, occurrence mode correction factor and formation factor, or based on the CEC, hydrate saturation and occurrence mode correction factor, or based on the pore radius, fractal dimension, hydrate saturation and occurrence mode correction factor.

Abstract: A handwriting recognition method and apparatus, and an electronic device and a storage medium are provided. The method includes: acquiring a text image containing handwritten text; inputting the text image into a convolutional neural network, and extracting a CNN feature and a HOG feature of the text image; and extracting the handwritten text in text image according to the CNN feature and the HOG feature.

Abstract: The present disclosure provides herein anti-CD4 antibodies or antigen-binding fragments thereof, isolated polynucleotides encoding the same, pharmaceutical compositions comprising the same, and the uses thereof.

Abstract: The present disclosure provides an image processing method, device and apparatus, and a computer-readable storage medium. The image processing method includes: obtaining an image and detecting multiple targets in the image; obtaining categories of multiple detected targets and first parameters of a detection frame corresponding to each detected target, and ranking all detected targets according to the first parameters in a descending order to obtain a dataset; obtaining a target with a highest first parameter in the dataset as a first detected target, and detecting whether the first parameter of a first detection frame corresponding to the first detected target satisfies a preset category condition of a category to which the first detected target belongs; detecting whether the first detection frame corresponding to the first detected target overlaps with a detection frame corresponding to a respective one of the plurality of detected targets except the first detected target.

Abstract: The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.

Abstract: A non-transitory computer-readable storage medium, a trace detection device, and a device and method for training a trace detection model are described, relating to the technical field of machine learning. The training method comprises obtaining a sample image and a sample tag of the sample image; performing line segment detection on the sample image, and obtaining a line segment edge feature of the sample image; generating a training feature according to the line segment edge feature; and training a classification model according to the sample tag and the training feature to obtain a trace detection model (S140).

Abstract: A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed.

Abstract: The present disclosure provides an age recognition method, a non-transitory computer-readable storage medium, and an electronic device. The method includes extracting feature points of a face in an image, preprocessing the image to extract global features of the face, extracting local features of the face based on the feature points, determining an age feature of the face according to the global features and the local features, and inputting the age feature into a pre-trained age recognition model to obtain an age value corresponding to the face in the image.

Abstract: Provided in the present application is a manufacturing method for a flexible photovoltaic assembly comprising: 1) connecting cells in series to form a cell string; 2) connecting the cell strings in series and/or in parallel to form a cell layer, wherein a gap is present between adjacent cell strings; 3) sequentially stacking a front panel material layer, a front packaging material layer, the cell layer, a back packaging material layer, and a back panel material layer, and performing lamination to obtain a laminated member; 4) performing punching on the laminated member to remove the material layers that are located in the gap to obtain a photovoltaic assembly, the photovoltaic assembly comprising photovoltaic assembly units, and the photovoltaic assembly units are electrically connected by the electrical connection material; and 5) sequentially stacking a composite material layer, the photovoltaic assembly, a flexible substrate layer, performing lamination to obtain a flexible photovoltaic assembly.

Abstract: A resin matrix composite used as anti-ablation coating material and its preparation method is provided. The resin matrix composite is a mixture of yttria-stabilized zirconia (YSZ), a resin, Cu, and SiO2. The mixture is uniform and include spherical particles or spherical aggregates. A method for preparing a resin matrix composite for anti-ablation coating includes mixing YSZ, a resin, Cu, and SiO2 to obtain a mixed powder and performing spray granulation of the mixed powder to obtain a resin matrix composite including spherical particles or spherical agglomerates.

Abstract: The present disclosure provides a line segment detection method, apparatus, device, and a computer-readable storage medium. Said method includes: extracting image features of an image to be processed, the image features including an image gradient angle and an image gradient amplitude; determining a plurality of seed points based on the extracted image features; for each seed point of the plurality of seed points, determining a current connected region of respective seed point according to a region growth rule, wherein the region growth rule needs to satisfy both a gradient amplitude growth rule and a gradient angle growth rule simultaneously; and performing line segment fitting on line segments within the current connected region of respective seed point.

Abstract: The present disclosure provides herein anti-CD4 antibodies or antigen-binding fragments thereof, isolated polynucleotides encoding the same, pharmaceutical compositions comprising the same, and the uses thereof.

Abstract: The present invention provides an age recognition method, a computer program and an electronic device. The method comprises: acquiring a face image to be recognized; extracting face characteristic points in the face image to be recognized, and characteristic point coordinates of the face characteristic points in the face image to be recognized; extracting face global features from the face image to be recognized according to the characteristic point coordinates; extracting face local features from the face image to be recognized according to the face characteristic points; and determining an age recognition result corresponding to the face image to be recognized according to the face global features, the face local features and an age recognition model obtained by pre-training.

Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.