Abstract: A video processing method and device and an apparatus are provided. The method includes: obtaining a video captured by a photographing device; dividing the video into a plurality of regions based on information associated with a global motion state between frames of the video, wherein the plurality of regions includes a region of interest (ROI) and a non-region of interest (non-ROI); and performing different image processing on the ROI and the non-ROI to achieve different levels of clarity for the ROI and the non-ROI. Present disclosure can effectively save transmission resource usage while ensuring the user's subjective visual experience.

Abstract: The invention provides systems and methods for a vehicle-based cloud computing system (VCCS) for autonomous driving. This VCCS builds world models based on a series of complex scenario data to optimize sensing, prediction, planning, decision making, and control for autonomous driving. The VCCS can execute vehicle control algorithms, train general AI models, and make inferences to optimize autonomous driving. Specifically, it dynamically adjusts driving strategies based on long tail scenarios including but not limited to weather, work zone information, and traffic status, ensuring safe and efficient vehicle operation. Additionally, the VCCS can gather supplementary data from (a) a roadside unit (RSU) network, (b) another OBU, (c) a cloud platform, (d) a traffic control center/traffic control unit (TCC/TCU), and (e) a traffic operations center (TOC), thereby further improving control and efficiency in complex driving environments.

Abstract: This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.

Abstract: The application describes methods for making a deuterated dextromethorphan of Formula (I), deuterated dextromethorphan produced by these methods, and pharmaceutically acceptable salts thereof.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains queries from sources via a query interface. The program code analyzes the queries to obtain attributes of the queries. The program code applies a trained classifier to the attributes to classify the queries into finite categories based on a predicted usage of a given resource type exceeding a pre-determined threshold and an anticipated execution duration for each query. The program code determines, based on the finite categories of the one or more queries and resource configurations of resources comprising the database service, which resource of the resources can efficiently execute each query of the one or more queries. The program code schedules each query of the one or more queries for execution by the determined resources.

Abstract: A multi-mode switching simulation training system based on a real centralized traffic control (CTC) system, including a center platform and a plurality of student platforms connected to the center platform through a network, where the center platform includes a first management module and a first training system connected to the first management module; each student platform includes a second management module and a second training system connected to the second management module; and the first management module is configured to control the start and stop of the first training system, and the second management module is configured to control the start and stop of the second training system, so as to switch a training mode of the multi-mode switching simulation system. The present invention can achieve the purposes of individual training for dispatchers, individual training for attendants, joint training for the dispatchers and the attendants, and skills competition.

Abstract: A method for estimating a pose of a humanoid robot includes: processing obtained pose parameters of a waist of the humanoid robot and plantar motion parameters of the humanoid robot to obtain the measured pose parameters of a center point of the waist of the humanoid robot; calculating predicted pose parameters of the center point of the waist according to the obtained pose parameters of the waist; and fusing the measured pose parameters and the predicted pose parameters to obtain estimated pose parameters of the center point of the waist.

Abstract: A receiving structure providing real-time information as to the materials constituting its contents includes a box body, a first side plate, and a second side plate. The box body, the first side plate, and the second side plate forming a receiving space, and the receiving space receives materials. A discharge port is formed between the second side plate and the first side plate, the discharge port is in communication with the receiving space, and the discharge port is configured to take out the material. A material checking unit is provided on the first side plate, the material checking unit detects and enables real time identification of the materials in the receiving structure.

Abstract: Embodiments of the present application provide a tissue boundary determination apparatus and method. The tissue boundary determination method includes acquiring multiple slice images of multiple positions of a tissue to be examined, determining, with regard to at least one first selected slice image of the multiple slice images, a tissue boundary on the first selected slice image, and determining, according to the tissue boundary on the first selected slice image, tissue boundaries on a predetermined number of other slice images adjacent to the first selected slice image. Therefore, an accurate tissue (such as malignant tumor) boundary may be acquired efficiently so as to provide a reference basis for analysis on internal and external tissue of a tumor.

Abstract: The present application relates to a sodium-ion battery and an electrical apparatus including the same. The sodium-ion battery includes a positive electrode sheet, a separator, and a negative electrode current collector, wherein the separator is disposed between the positive electrode sheet and the negative electrode current collector, a surface of the negative electrode current collector is provided with a protective layer capable of allowing sodium-ions to pass freely, a material of the protective layer mainly includes a polymer material, there is an accommodation area between the protective layer and the negative electrode current collector, and the accommodation area has a sodium metal layer formed on the surface of the negative electrode current collector. The sodium-ion battery can effectively improve the inhibition of sodium dendrites, reduce side reactions between sodium metal and an electrolyte solution, and improve the cycle performance of the sodium-ion battery.

Abstract: A system and method for dynamically visualize and modify user authority and security resource edge based on access behaviors in a cloud computing environment. The method provides a new access control perspective to ensure the credibility of database object usage patterns, build clearer and explicit security data consumption mode for data usage requests, and guide tenants to have a more comprehensive understanding and concise use. Processing components and method are configured to gather data and analytics including collecting data resource and database object usage tagging both resources and users with security level by machine learning and building an access model for each role. The method uses graph modeling with created, trained access patterns for users protected resources and produces in-memory implicit sub-groups for users with similar access requirements and limits their resource accesses according to their history behaviors.

Abstract: Method for determining parameter of a passive impedance adapter applicable to VSC-HVDC, including: S1. obtaining VSC-HVDC impedance and VSC-HVDC impedance curve X(f) based on VSC-HVDC impedance; S2. estimating upper limit value of the main capacitor in the passive impedance adapter; S3. calculating adapter parameter curve Xadapter(f); S4. determining value of the main capacitor and varying value of the main resistor until min[X(f)?Xadapter(f)] is maximized; determining whether min[X(f)?Xadapter(f)]>k holds; S5. If min[X(f)?Xadapter(f)]>k does not hold, increasing the value of the main capacitor and performing steps S2-S4 until min[X(f)?Xadapter(f)]>k holds when the value of the main capacitor is within the range of the value of the main capacitor, storing the parameters in an available parameter set; S6. reducing the value of the main capacitor, and storing the parameters when min[X(f)?Xadapter(f)]>k holds in the available parameter set; S7.

Abstract: Embodiments analyze an incoming query for a database, train a query model using machine learning based on the analyzing of the incoming query, determine a model result based on the trained query model; extract a similar information query based on the model result, generate a recommendation for query tuning and a visual impact of the recommendation for the query tuning based on the extracting of the similar information query, and output the recommendation for the query turning and the visual impact of the recommendation for the query tuning.

Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.

Abstract: This application relates to a sodium-ion battery and an electric apparatus containing the same. The sodium-ion battery includes a positive electrode plate, a separator, and a negative electrode current collector. The separator is disposed between the positive electrode plate and the negative electrode current collector. A coating is provided on a surface of the negative electrode current collector, the coating includes a carbon material, and the carbon material includes carbon nanotubes. The sodium-ion battery can effectively enhance the suppression of sodium dendrites and improve the cycling performance. In addition, it is unnecessary to additionally provide a negative electrode active material layer, reducing the costs of the sodium-ion battery and improving the energy density of the sodium-ion battery.

Abstract: A gasifier for converting a carbonaceous feedstock to produce syngas comprising a cone section and a throat section; wherein the throat section comprises a throat refractory material having an inside surface and a substantially cylindrical cooling element having an inner face and an outer face in a radial direction, and a top face and a bottom face in the vertical direction, wherein the inner, outer, top, and bottom faces define a cooling cavity; and wherein the cooling element is in thermal contact with the throat refractory material on the inner face, the top face, and the outer face.

Abstract: The present disclosure relates to a collector, a cell sorting device, and a method for cell collection. The collector comprises: a housing which is internally provided with a mixing chamber and a loading chamber and which is provided with a filling hole in communication with the mixing chamber; a microfluidic chip arranged in the housing; and a collection vessel detachably connected to the housing. A target cell solution separated by the microfluidic chip can flow into the collection vessel. An inlet of the microfluidic chip, the loading chamber, and the collection vessel are selectively in communication with the mixing chamber through a communicating structure, respectively.

Abstract: Embodiments of the present disclosure provide a network node and a method performed by the network node and a storage medium, relating to a field of artificial intelligence. A method performed by a network node may comprise: detecting an overshooting cell; determining an adjustment step corresponding to the overshooting cell based on a coverage situation of the overshooting cell; and adjusting a coverage range of the overshooting cell based on the determined adjustment step. The method performed by the network node may be performed using an artificial intelligence model.

Abstract: This application provides a laser detection method and device, applied to LiDAR. The LiDAR includes a first emitting unit, and the laser detection method includes: obtaining a random variable; determining a plurality of first emission times according to the random variable; and controlling the first emitting unit to emit a laser signal at the plurality of first emission times.