Abstract: The present disclosure provides a point cloud encoding method and system, a point cloud decoding method and system, a point cloud encoder, and a point cloud decoder. A prediction mode of attribute information of a current point is determined through geometric information of a point in a point cloud, so that a determination process of the prediction mode is decoupled from a reconstruction process of the attribute information of the point in the point cloud, the two processes can be performed in parallel, and thus the efficiency of encoding and decoding is improved.

Abstract: Disclosed is a system for teaching art courses based on smart cloud technology, including: a teaching management subsystem, designed for providing online teaching function of art courses as well as student user management function for teachers; a smart learning subsystem, designed with online learning function and course management function for each student user; a resource management subsystem, designed to provide art course resources for the teaching management subsystem and the smart learning subsystem, as well as course management function for art course resources; and a background management subsystem, used to provide system management functions for system administrators.

Abstract: The present disclosure relates to an intelligent prevention passage control system for an electronic device, which comprises a detection device for an electronic device, a traffic control device integrated with the detection device for the electronic device, an industrial control host, a server, an access controller and a management terminal inside the traffic control device. The present disclosure can more accurately judge violations by scoring violations, and can make the system more intelligent by accurately judging violations, thus realizing no manual attendance, solving the problems of personnel recruitment, shift attendance and personnel management, and saving a lot of labor cost. At the same time, the system can avoid the hidden dangers caused by human feelings, sense of responsibility and inertia brought by manual prevention, and ensure the consistent, accurate and reliable standards of detection work.

Abstract: A display panel and a manufacturing method thereof, and an alignment method are provided. The display panel includes a display substrate and a cover plate connected through an optical adhesive layer. The display substrate includes a plurality of light emitting elements, a pixel defining layer, and an encapsulation layer; the encapsulation layer includes a first inorganic encapsulation layer, a first organic encapsulation layer, and a second inorganic encapsulation layer; the display panel includes a display region and a frame region including a cutting region and a dam glue region where a dam glue is located; at least one of the plurality of cover plate alignment marks is between the dam glue and the display region and is overlapped with the second inorganic encapsulation layer, and at least one of the plurality of cover plate alignment marks is between the dam glue and the cutting region.

Abstract: An HTAP database based on a consensus algorithm is provided. The HTAP database comprises a row-column hybrid store distributed storage system and a distributed SQL execution engine. The row-column hybrid store distributed storage system includes a row store bank and a column store bank, where data stored in the column store bank is a subset of data stored by the row store. The distributed SQL execution engine is used to receive transactional and/or analytical requests sent by a client, and to access the row store bank while executing the transactional requests and access the column store bank while executing the analytical requests, thus ensuring the isolation of the transactional and analytical requests to achieve load isolation, ensuring freshness and consistency of the data, and also ensuring high scalability and availability of the system.

Abstract: A method for magnetic resonance imaging (MRI) may include obtaining imaging signals related to a region of interest (ROI) of a subject. The method may also include selecting a portion of the imaging signals as auxiliary signals associated with at least one temporal dimension of the ROI. The method may also include generating at least one target image associated with the at least one temporal dimension of the ROI based on the imaging signals and the auxiliary signals.

Abstract: The present disclosure provides a display device and a method for manufacturing the same. The display device includes a display substrate; a first cover plate on a side of the display substrate; at least one support layer on a side of the first cover plate distal to the display substrate. The support layer includes a support structure and a second cover plate. The second cover plate is on a side of the first cover plate distal to the display substrate, and the support structure is configured to support the second cover plate.

Abstract: Embodiments of the present disclosure provide methods and apparatus for tuning a plurality of beams. A method performed at a network node may comprise: determining (S101) a respective coverage requirement for a plurality of beams; determining (S102) a respective coverage area for the plurality of beams, based on the determined coverage requirement; determining (S103) a power requirement for the plurality of beams, based at least on the determined coverage area; and tuning (S104) at least one of the plurality of the beams, based at least on the determined power requirement. The energy efficiency and the network capacity may be improved, while the shape of each beam could be adaptively refactored.

Abstract: A point cloud decoding method comprises: parsing a bitstream of a point cloud to obtain reconstructed information of position information of a target point in the point cloud; obtaining predicted values of attribute information of the target point according to the reconstruction information of the position information of the target point; parsing the bitstream to obtain residual values of the attribute information of the target point; obtaining initial reconstructed values of the attribute information of the target point according to the predicted values and the residual values of the attribute information of the target point; filtering the initial reconstructed values of the attribute information of the target point by using a Kalman filtering algorithm, to obtain final reconstructed values of the attribute information of the target point; and obtaining a decoded point cloud according to the final reconstructed values of the attribute information of the target point.

Abstract: A point cloud encoding method comprises: processing position information of a target point in a point cloud to obtain reconstruction information of the position information of the target point; obtaining an initial predicted value of attribute information of the target point according to the reconstruction information of the position information of the target point; filtering the initial predicted value of the attribute information of the target point using a Kalman filter algorithm to obtain a final predicted value of the attribute information of the target point; processing the attribute information of the target point in the point cloud to obtain a real value of the attribute information of the target point; obtaining a residual value of the attribute information of the target point according to the final predicted value and the real value of the attribute information of the target point; and encoding the residual value of the attribute information of the target point to obtain a bitstream.

Abstract: A point cloud coding method, including: partitioning a point cloud, and determining a current coding block; determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep corresponding to a level of detail; and upon detecting that the quantization parameter optimization enable identifier is a first value, performing operations for one or more points included in the current coding block.

Abstract: A point cloud encoding method includes the following. For one or more points in the current coding block, an optimal prediction mode is determined by using a RDO mechanism, where a distortion parameter D in the RDO mechanism is determined according to a reconstruction distortion, and a bitrate parameter R in the RDO mechanism is determined according to a bitrate. A prediction value of the one or more points is determined by predicting the one or more points using the optimal prediction mode. A residual of the one or more points is determined according to the prediction value of the one or more points. Encoding bits are determined by encoding according to the optimal prediction mode and the residual, and the encoding bits are signaled into a bitstream.

Abstract: A point cloud encoding method, including: obtaining attribute information about the attributes of a current point in a point cloud; processing the attribute information of the current point to obtain a residual value of the attribute information of the current point; using a target quantization manner, quantizing the residual value of the attribute information of the current point to obtain a quantized residual value of the attribute information of the current point; the target quantization manner comprises at least two of the following quantization manners: a first quantization manner, a second quantization manner, and a third quantization manner.

Abstract: The present disclosure provides a system for MRI. The system may obtain MRI scan data of a subject by directing an MRI scanner to perform an MRI scan on the subject according to a first gradient waveform. The system may also determine a second gradient waveform based on the first gradient waveform and a gradient waveform determination model. The gradient waveform determination model may have been trained according to a machine learning algorithm. The system may further generate a target reconstruction image of the subject based on the second gradient waveform and the MRI scan data.

Abstract: The current document is directed to methods and systems that place and manage workloads across heterogeneous hosts within distributed computer systems. In a disclosed method, the functionality of an existing distributed-computer-management system designed for managing homogeneous hosts is modified and improved for application to distributed-computer systems that include heterogeneous hosts. Much of the functionality needed for managing heterogeneous hosts is obtained by modifying implementation of managed objects employed by host agents without affecting the interface between the distributed-computer-management system and the host agents. In addition, host-selection functionality within the distributed-computer-management system can be extended and improved to consider heterogeneous-host characteristics both for placing workloads across heterogeneous hosts and for live migration of virtual machines among different types of hosts.

Abstract: Example video data transmission methods and apparatus are described. One example method includes receiving a plurality of data packets corresponding to a plurality of video frames by a network device from a server. The network device determines that a transmission phase of one or more data packets corresponding to each video frame in the plurality of video frames, and determines a corresponding priority based on the transmission phase of the one or more data packets corresponding to each video frame. The network device sends, based on the priority of the one or more data packets corresponding to each video frame, the one or more data packets corresponding to each video frame to a terminal device corresponding to each video frame.

Abstract: An optical splitting device is provided, which includes a housing, at least one first optical splitter which is disposed in the housing, a multi-core input optical interface, a multi-core output optical interface, and at least one single-core output optical interface. The multi-core input optical interface, the multi-core output optical interface, and the at least one single-core output optical interface are disposed on an outer wall of the housing, and each first optical splitter includes an input end, a first output end, and at least one second output end. The multi-core input optical interface is connected to an input end of the at least one first optical splitter, the first output end of each first optical splitter is connected to the multi-core output optical interface, and the second output end of each first optical splitter is connected to the single-core output optical interface in a one-to-one correspondence.

Abstract: The disclosure provides use of an efficient, recyclable, green and friendly catalyst to realize a method of hydrogenation of an unsaturated alkene, and a method for preparing biodiesel through the transesterification of soybean oil with ethanol. The method of hydrogenation of the unsaturated alkene comprises performing a hydrogenation reaction of an unsaturated alkene at ambient temperature and atmospheric pressure by using a CO2 and magnetic dual-responsive mesoporous poly(ionic liquid) as a catalyst I, and using n-hexane and water as a solvent, to obtain a corresponding saturated alkane. The method for preparing biodiesel through transesterification of soybean oil with ethanol comprises performing a transesterification reaction of soybean oil with ethanol at a temperature of 25-90° C. and atmospheric pressure by using a CO2 and magnetic dual-responsive mesoporous poly(ionic liquid) as a catalyst II, to obtain the biodiesel.

Abstract: Provided are antibodies that specifically bind to Programmed Death-1 (PD1, Pdcd-1, or CD279) and inhibit PD1-mediated cellular signaling and activities in immune cells, antibodies binding to a set of amino acid residues required for its ligand binding, and uses of these antibodies to treat or diagnose cancer, infectious diseases or other pathological disorders modulated by PD1-mediated functions.

Abstract: In various embodiments immunogenic nanoparticles are provided that are capable of raising an immune response directed against one or more viral proteins and/or protein fragments. In certain embodiments the immunogenic nanoparticles raise an immune response directed against a virus (e.g., SARS-CoV-2 (2019-nCoV), SARS-CoV-2, and MERS-CoV, and the like). In certain embodiments the immunogenic nanoparticles comprise a nanoparticle formed from one or more biocompatible polymer(s), one or more viral proteins or fragments thereof encapsulated within or attached to the biocompatible polymer(s) where the viral protein or fragment thereof comprises an antigen to which an immune response is to be induced by administration of the immunogenic nanoparticle to a mammal and where the immunogenic nanoparticle further comprises an adjuvant (e.g., a STING agonist).