Abstract: Provided is a vehicle accident loss assessment risk control method and apparatus. The method can include: acquiring a vehicle accident loss assessment report of a current accident of a vehicle, wherein the vehicle accident loss assessment report includes vehicle information of the vehicle and vehicle loss items related to the current accident of the vehicle; calculating the vehicle loss items in the vehicle accident loss assessment report based on a pre-established risk algorithm model in combination with the vehicle information, and identifying risk items with risks in the vehicle loss items; and intercepting the risk items or prompting the risk items to a user. According to the embodiment, an early warning can be automatically made to a leakage that may occur in the vehicle accident loss assessment based on artificial intelligence, industry big data standardization, big data mining analysis and the like, to realize the risk control and ensure the accuracy of vehicle accident loss assessment.

Abstract: Provided are a target detection method and an image sample generating method and system for deep learning. The image sample generating method includes performing a scenario composition analysis on an item to be detected in a security check place; obtaining a real-shot security check image of a target scenario having a corresponding composition ratio according to the scenario composition analysis; obtaining a target security check image having a label, where the target security check image is captured by a security check device; processing a pixel gray value of an i-th feature layer in the real-shot security check image and a pixel gray value of an i-th feature layer in the target security check image separately; determining images to be fused; normalizing sizes of the images to be fused; fusing the size-normalized images to be fused to form a new sample; and performing the determining the images to be fused.

Abstract: This application discloses a state determining method, which includes obtaining N first detection values corresponding to the N first detection regions and M second detection values corresponding to the M second detection regions. In a case that at least one of the N first detection values is greater than or equal to a first preset value, determining that the earphone is in a non-wearing state. In a case that the N first detection values are less than the first preset value and the M second detection values meet a first preset condition, determining that the earphone is in a non-wearing state. In a wearing state of the earphone, the N first detection regions have a distance from the skin, and the M second detection regions are in contact with the skin.

Abstract: An internet of vehicles communication method includes receiving reported data of a vehicle, sending the reported data to a first regional server in a first cluster, where the reported data includes information about a first location of the vehicle, receiving information about a second location of the vehicle from the first regional server, where the second location is predicted by the first regional server and is about where the vehicle is to arrive, obtaining an identifier or an address of a second distribution device based on the second location when the second location is outside a service region of the first cluster, and sending the identifier or the address of the second distribution device to the vehicle.

Abstract: Disclosed are a container assembly and a food processing system (20) comprising thereof. The container assembly includes a sealable body including a chamber (32), a chamber opening (56) formed in the sealable body, and a vacuum sealing assembly (52) mounted to the sealable body adjacent the chamber opening (56). The vacuum sealing assembly (52) includes a needle valve (60) having a needle valve opening formed therein. The needle valve (60) is movable relative to the chamber opening (56) such that the needle valve opening is movable into and out of the chamber (32). A biasing mechanism (74) is operably coupled to the needle valve (60) to move the needle valve opening out of the chamber (32).

Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment.

Abstract: A container (32) includes a sealable body including a chamber (42), at least one opening formed in the sealable body, and a vacuum sealing assembly (52) mounted to the sealable body adjacent at least one opening. The vacuum sealing assembly (52) includes a valve (60) and a mechanism (70) moveable between a first position that maintains the valve (60) in a sealing engagement with at least one opening and a second position that removes the valve (60) from the sealing engagement or exposes the valve (60) for removal from the sealing engagement.

Abstract: A battery box includes: a bottom plate disposed on a bottom of the battery box; a side plate forming a side portion enclosing the battery box; and a positioning member passing through the bottom plate and the side plate sequentially to maintain a relative positional relationship between the side plate and the bottom plate. According to one embodiment of the present disclosure, the battery box is provided to improve the connection stability between the bottom plate of the battery box and the side plate of the battery box by arranging a positioning member. A relative position of the side plate and the bottom plate is maintained by the connection stability between the bottom plate and the side plate, to improve a stress-bearing capacity of the side plate of the battery box.

Abstract: Examples describe a method performed by an extended reality (XR) device that implements a multi-camera object tracking system. The XR device accesses object tracking data associated with an object in a real-world environment. Based on the object tracking data, the XR device activates a low-power mode of the multi-camera object tracking system. In the low-power mode, a state of the object in the real-world environment is determined by using the multi-camera object tracking system.

Abstract: A method for transferring a gait pattern of a first user to a second user to simulate augmented reality content in a virtual simulation environment is described. In one aspect, the method includes identifying a gait pattern of a first user operating a first visual tracking system in a first physical environment, identifying a trajectory from a second visual tracking system operated by a second user in a second physical environment, the trajectory based on poses of the second visual tracking system over time, modifying the trajectory from the second visual tracking system based on the gait pattern of the first user, applying the modified trajectory in a plurality of virtual environments, and generating simulated ground truth data based on the modified trajectory in the plurality of virtual environments.

Abstract: Provided are a pyrazole-1(2H)-phthalazinone compound and an application thereof as a PRMT5?MTA complex inhibitor in the preparation of a drug for treating related diseases.

Abstract: An augmented reality (AR) device generates hand annotations for an image depicting a user's hand. The device includes a display, a processor, and a memory storing instructions for performing operations. The device performs a calibration operation to generate a 3-D model of the user's hand based on measurements. The calibration operation prompts the user to mimic the hand gesture presented by the animated virtual representation of a hand to obtain optimal images of the hand for hand pose estimation. A 3-D virtual representation of a hand in a hand pose corresponding with a hand gesture is generated based on the 3-D model. The device presents the 3-D virtual representation of the hand in AR via the display. During presentation, the device detects an input and captures an image of the user's hand positioned to correspond with the 3-D virtual representation. The captured image is stored with corresponding hand annotations based on the 3-D model.

Abstract: A positioning method includes obtaining an estimated extrinsic parameter of a camera and an intrinsic parameter of the camera, where the estimated extrinsic parameter of the camera is obtained based on world coordinates of a plurality of estimation points in a shooting region of the camera, image coordinates of the plurality of estimation points, and the intrinsic parameter of the camera; obtaining image coordinates of a target in an image shot by the camera; and obtaining world coordinates of the target based on the estimated extrinsic parameter of the camera, the intrinsic parameter of the camera, and the image coordinates of the target.

Abstract: A lift pin includes a lift pin body arranged along a lift pin axis having a contact pad, a stem segment, a neck segment, and a span feature. The contact pad is defined at a first end of the lift pin body, the stem segment extends from the contact pad, and the neck segment extends from the stem segment. The span feature is defined at a second end of the lift pin body, is connected to the contact pad by the neck segment and the stem segment, and has a minor and major widths. The minor width is equivalent to a neck diameter defined by the neck segment, the major with is greater than the minor width, and the major width is greater than a stem diameter defined by the stem segment. Lift pin arrangements, semiconductor processing systems, and methods of making semiconductor processing systems are also described.

Abstract: Described is a system for emphasizing XR content based on user intent by gathering interaction data from use of one or more interaction functions by a user, accessing a camera feed of a camera system from the XR device, analyzing a combination of data corresponding to the interaction data and the camera feed using a first machine learning model to identify a priority for individual media content items, and determining that a first subset of media content items are of a higher priority than a second subset of media content items. Then the system displays the media content items on the XR device of the user, the first subset of the media content items displayed differently than the second subset of the media content items based on the identified priority.

Abstract: A method includes: a communication device determines a time offset value based on scheduling and orchestration information and time of arrival, and sends the time offset value to an application network element. The scheduling and orchestration information indicates a scheduling moment, the time of arrival indicates a moment at which a first data packet in a service flow arrives at the communication device, and the time offset value is a difference between the moment at which the first data packet arrives at the communication device and the scheduling moment.

Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment.

Abstract: A method for transferring a gait pattern of a first user to a second user to simulate augmented reality content in a virtual simulation environment is described. In one aspect, the method includes identifying a gait pattern of a first user operating a first visual tracking system in a first physical environment, identifying a trajectory from a second visual tracking system operated by a second user in a second physical environment, the trajectory based on poses of the second visual tracking system over time, modifying the trajectory from the second visual tracking system based on the gait pattern of the first user, applying the modified trajectory in a plurality of virtual environments, and generating simulated ground truth data based on the modified trajectory in the plurality of virtual environments.

Abstract: The present application relates to a detection mechanism and a battery production line. The detection mechanism includes a conveying unit, configured to convey the device to be detected; a first detection unit, configured to detect the temperature of the device to be detected; and a trigger unit, configured to detect the distance between the first detection unit and the device to be detected. When the distance between the first detection unit and the device to be detected is less than a preset distance value, the trigger unit controls the conveying unit to stop conveying. The detection mechanism and the battery production line in the embodiments of the present application can ameliorate the problem of poor universality.

Abstract: Provided is a vehicle accident loss assessment risk control method and apparatus. The method can include: acquiring a vehicle accident loss assessment report of a current accident of a vehicle, wherein the vehicle accident loss assessment report includes vehicle information of the vehicle and vehicle loss items related to the current accident of the vehicle; calculating the vehicle loss items in the vehicle accident loss assessment report based on a pre-established risk algorithm model in combination with the vehicle information, and identifying risk items with risks in the vehicle loss items; and intercepting the risk items or prompting the risk items to a user. According to the embodiment, an early warning can be automatically made to a leakage that may occur in the vehicle accident loss assessment based on artificial intelligence, industry big data standardization, big data mining analysis and the like, to realize the risk control and ensure the accuracy of vehicle accident loss assessment.