Abstract: System and method are described for copying and pasting files and folders between a client and a virtual desktop via clipboard redirection. A virtual desktop session can be established by the client on the virtual desktop. The user can copy a file or folder to the virtual desktop clipboard and a path corresponding to the file or folder can be stored in the virtual desktop clipboard in a path list. When the user ungrabs the agent or switches focus out of the virtual desktop to the client, the path list can be transferred to the client device and set into the client clipboard. Subsequently, a request can be received in the client device to paste the copied file or folder to a target location in the client device. In response to the request, the client device can retrieve the contents of the copied file or folder from the agent and the contents can be placed in the target location to complete the paste operation.

Abstract: The invention discloses a flame-retardant semi-aromatic polyamide derived from the following monomers: a diacid monomer A: where A1 is terephthalic acid or terephthalic acid and other diacid, terephthalic acid accounts for 50 to 100 mol % of A1, and A2 is [(6-oxido-6H-dibenzo-(c,e)(1,2)-oxaphosphorin-6-ketone)-methyl]-butanedioic acid, A1+A2=100 mol %, A1=90 to 99 mol %, A2=1 to 10 mol %; and diamine monomer B: one or more of diamine monomers containing 4 to 36 carbon atoms. In the present invention, by an in situ polymerization, a specific flame-retardant monomer [(6-oxido-6H-dibenzo-(c,e)(1,2)-oxaphosphorin-6-ketone)-methyl]-butanedioic acid is copolymerized in a semi-aromatic polyamide chain segment, excellent mechanical properties and low water absorption can be obtained.

Abstract: An electrochemical device includes a first electrode assembly, a second electrode assembly, and a packaging shell. The first electrode assembly and the second electrode assembly B are each located in a separate cavity in the packaging shell. Two opposite-polarity tabs of the first electrode assembly and the second electrode assembly are connected in the packaging shell. The connected two opposite-polarity tabs comprise a first tab extending out of the packaging shell. Such design of extending the tabs and the design of ion insulation between the hermetic cavities improve the charge and discharge performance and the product quality of the electrochemical device.

Abstract: The present disclosure relates to a method and apparatus for association detection for a human face and a human hand, an electronic apparatus and a storage medium. The method comprises: acquiring a first image, the first image being an image of a human object; performing feature extraction on the first image to obtain a first feature map of multiple dimensions; performing a feature fusion processing on the first feature map of multiple dimensions to obtain a second feature map of multiple dimensions, the dimensions of the second feature map corresponding to the dimensions of the first feature map in a one-to-one manner; detecting, on the basis of the obtained second feature map of multiple dimensions, a human face position and a human hand position associated with the same human object in the first image. The embodiment of the present disclosure enables easy and convenient association detection for human face and human hand.

Abstract: A method for cell winding and a system for cell winding are provided. The method includes feeding materials, preparing winding, embossing, and winding. The feeding materials is carried out to obtain a separator, a cathode electrode, and an anode electrode, where the cathode electrode satisfies that: after pre-winding, a first cathode tab of the cathode electrode and a second cathode tab of the cathode electrode are arranged with a surplus misalignment. A starting end of the separator, a starting end of the cathode electrode, and a starting end of the anode electrode are fixed to a winding device. The cathode electrode is embossed by a rolling device, such that the first cathode tab is aligned with the second cathode tab after winding. The embossing is configured to enable the surplus misalignment between the first cathode tab and the second cathode tab after the winding to be zero.

Abstract: The present invention provides a PA10T molding composite material that can be used to produce LED display light source reflection supports. The width of the crystallization peak at half maximum ?T1/2 is adjusted to be 3-10° C., the whiteness is adjusted to be less than 26, and the 460 nm light source reflectivity is adjusted to be less than 6.5%, such that the PA 10T molding composite material has the advantages of low blue light, high contrast, and high gray scale, and can satisfy requirements for a packaging process and long-term reliability, and can be used as a packaging product to manufacture high-contrast LED display light source refection supports applicable in multiple scenarios.

Abstract: Disclosed is a furan diacid-based polyamide resin, which is derived from the following repeating units: (A) 2,5-furandicarboxylic acid, (B) 1,4-cyclohexanedicarboxylic acid, and (C) 1,10-decanediamine, where based on the total molar percentage of the diacid units, (A) accounts for 5-45 mol % of the diacid units.

Abstract: The present invention discloses a furan diacid-based polyamide, which is derived from the following repeating units: (A) 2,5-furandicarboxylic acid, (B) 1,4-cyclohexanedicarboxylic acid, and (C) 1,5-pentanediamine, where based on the total molar percentage of the diacid units, (A) accounts for 10-45 mol % of the diacid units. The furan diacid-based polyamide of the present invention has a melting point of 291-335° C.

Abstract: The present invention provides a semi-aromatic polyamide molding composite material that can be used for producing an LED display screen light source reflection support. Generally, by selecting a semi-aromatic polyamide resin having a specific repeating unit, and enabling the crystallization peak width at half maximum ?T1/2 to be 4-11° C., the whiteness to be less than 26.5, the reflectivity under a 460 nm light source to be less than 6% etc., the semi-aromatic polyamide molding composite material has the advantages of reduced blue light, high contrast ratio and high gray scale, and can meet requirements for the packaging process and long-term reliability. The package product can be used for manufacturing high-contrast LED display screen light source refection supports for use in multiple environments.

Abstract: A system and method for adaptive color assignments to image labels during annotation of datasets includes preparing a dataset for image labeling by an annotator by: leveraging a global color analyzer to perform a global color distribution of a plurality of images to identify one or more overall colors present in the plurality of images, and a local color analyzer to perform a local color distribution for each image to identify one or more colors present in an area of interest of the image, and selecting a plurality of candidate colors to be used as image labels by the annotator, based on an output of the global color analyzer and an output of the local color analyzer.

Abstract: A battery shell includes a first housing. The first housing is configured to be formed by winding a sheet around a first axis. The sheet includes a first end portion and a second end portion. The first housing includes a first sidewall. The first sidewall includes a first flat portion, a first bent portion, and the first end portion. The first sidewall further includes a second flat portion and the second end portion. A wall face of the first flat portion facing away from the first axis is a first wall face. A wall face of the second flat portion facing away from the first axis is a second wall face. As viewed along a thickness direction perpendicular to the second flat portion, a distance between the first wall face and the second wall face is less than a thickness of the second flat portion.

Abstract: Detecting fine-grained similarity in image includes determining a core area of a search image by generating an image salient map from a plurality of layers of the search image and determining a connected area based on the image salient map. Feature descriptors are generated from the core area of the search image. A plurality of capsule vectors are generated from different ones of a plurality of keypoints of the feature descriptors. Capsule vectors of the search image are compared with capsule vectors of each image of the dataset to generate a top-K matrix. Similarity scores for the top-K matrix are calculated. One or more image of the dataset having fine-grained similarity with the search image are selected based a bundled similarity score for each image of the dataset. The bundled similarity score is a summation of the similarity scores of the image.

Abstract: A computer-implemented method includes receiving a viewer request for playing a video summary of a video, wherein the viewer request includes a length of the video summary, generating the video summary of the viewer-requested length comprising a set of frames selected from the video based on audience reviews of the video, and playing a video stream of the video summary.

Abstract: A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining video data; dividing the video data into a plurality of video fragments based, at least in part, on page detection; extracting one or more elements from each of the plurality of video fragments; determining element type data for each of the one or more extracted elements; generating element style data for the one or more extracted elements; determining page flow for the plurality of video fragments; and generating one or more pages based, at least in part, on the one or more elements extracted from the plurality of video fragments, the element type data, the element style data, and the page flow.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate abnormal document self-discovery. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an object detection component that can generate a knowledge graph with vectors corresponding with nodes representative of a page layout of a document. Additionally, the computer executable components can comprise an evaluation component that can compare the vectors to identify whether an edge is present between corresponding vectors of the knowledge graph; an encoder component that can re-code the knowledge graph; and a comparison component that can compare a structure of the knowledge graph with one or more other knowledge graphs corresponding to one or more other documents to determine if the document is abnormal.

Abstract: An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Abstract: Detecting fine-grained similarity in image includes determining a core area of a search image by generating an image salient map from a plurality of layers of the search image and determining a connected area based on the image salient map. Feature descriptors are generated from the core area of the search image. A plurality of capsule vectors are generated from different ones of a plurality of keypoints of the feature descriptors. Capsule vectors of the search image are compared with capsule vectors of each image of the dataset to generate a top-K matrix. Similarity scores for the top-K matrix are calculated. One or more image of the dataset having fine-grained similarity with the search image are selected based a bundled similarity score for each image of the dataset. The bundled similarity score is a summation of the similarity scores of the image.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to detecting a closed ring in a three-dimensional (3D) point cloud via cycle basis. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a filtering component that can filter a first undirected graph of a three-dimensional (3D) point cloud, by eliminating one or more edges of the first undirected graph that are longer than an adaptive threshold, wherein filtering the first undirected graph can produce a second undirected graph; and a detection component that can detect a minimum cycle basis of the second undirected graph to determine a cycle path that can traverse an irregular annular shape that is represented by the 3D point cloud.

Abstract: A user input in a source language is received. A set of contextual data is received. The user input is encoded into a user input feature vector. The set of contextual data is encoded into a context feature vector. The user input feature vector and the context feature vector are used to generate a fusion vector. An adaptive neural network is trained to identify a second context feature vector, based on the fusion vector. A second user input in the source language is received for translation into a target language. The adaptive neural network is used to determine, based on the second context feature vector, a second user input feature vector. The second user input feature vector is decoded, based on the source language and the target language, into a target language output. A user is notified of the target language output.