Abstract: The present invention discloses a highly reliable implantable device of an implantable biological sensor. Before use, the fixed seat cannot move relative to the slidable seat, achieving reliable transportation. In use, the lower end face of the slidable seat is pressed against the skin; the lower end face of the first snap-fit protrusion squeezes the upper end face of the vertical snap-fit plate; the first snap-fit protrusion is gradually away from the support of the vertical snap-fit plate, whereby the inside vertical face of the vertical snap-fit plate pushes the first snap-fit protrusion inward, and the fixed seat moves downward relative to the slidable seat, achieving good controllability.

Abstract: A method and an apparatus for calibrating a sensor are provided, and relate to the field of sensor technologies. The sensor is one of at least one sensor disposed on a vehicle. The method may include: identifying at least one traffic participant in an environment in which the vehicle is located; obtaining a first data set associated with the at least one traffic participant, where the first data set includes standardized data of the at least one traffic participant; determining a driving status of the vehicle; and if the vehicle does not shake, performing intrinsic parameter calibration on the sensor based on the first data set; or if the vehicle shakes, performing joint calibration on an extrinsic parameter of the at least one sensor of the vehicle based on the first data set.

Abstract: A training method comprising performing policy training based on a system resource parameter and an acceleration package set for an application, where the acceleration package set includes at least one acceleration package; and outputting a configuration policy after performing policy training, where the configuration policy is used to perform performance optimization on an application set, and the application set includes at least one application.

Abstract: This application discloses example service optimization methods and apparatuses, example storage medium, and example computer program products, and pertains to the field of virtualization technologies. One example method includes obtaining performance data of a physical machine, where the performance data includes performance data of at least one dimension of any virtual environment running on the physical machine. Based on the obtained performance data and a type of the virtual environment by using an identification model, a type of a service running in the virtual environment is identified. The corresponding service based on the identified service type is optimized.

Abstract: The on-demand formation of Lewis base molecules for fabricating efficient and stable formamidinium lead iodide (FAPbI3)-based perovskite solar cells (PSCs). Semicarbazide hydrochloride (SECl) is incorporated as an additive in the perovskite precursor, which deprotonates to form semicarbazide (SE) molecules when needed to stabilize the intermediate ???? phase. SE molecules protonate again to form SECl salt when they must be removed rapidly to accelerate the transition from the intermediate ???? phase to the photovoltaic ???? phase, leading to high film quality and homogeneous vertical distributions of A-site cations.

Abstract: A loudspeaker structure with a reflecting cone may include an active loudspeaker unit and a reflecting cone, wherein the active loudspeaker unit comprises a bracket, a cone, an active cone dangling edge and a faying surface, the reflecting cone comprises a reflecting counterweight surface and a reflecting cone dangling edge, the reflecting cone dangling edge is arranged around the edge of the reflecting counterweight surface, and the faying surface is arranged around the reflecting cone dangling edge and fixed with the reflecting cone dangling edge. In the present application, the bracket and the faying surface of the active loudspeaker unit are expanded to surround the reflecting cone in the faying surface, and the reflecting cone is supported by the faying surface of the active loudspeaker unit, so the reflecting cone of this product does not need the bracket.

Abstract: A loudspeaker structure with a reflecting cone may include an active loudspeaker unit and a reflecting cone, wherein the active loudspeaker unit comprises a bracket, a cone, an active cone dangling edge and a faying surface, the reflecting cone comprises a reflecting counterweight surface and a reflecting cone dangling edge, the reflecting cone dangling edge is arranged around the edge of the reflecting counterweight surface, and the faying surface is arranged around the reflecting cone dangling edge and fixed with the reflecting cone dangling edge. In the present application, the bracket and the faying surface of the active loudspeaker unit are expanded to surround the reflecting cone in the faying surface, and the reflecting cone is supported by the faying surface of the active loudspeaker unit, so the reflecting cone of this product does not need the bracket.

Abstract: Vehicle control is provided, including: obtaining vehicle information of a target vehicle and environmental information of a reference environment in which the target vehicle is located; obtaining a target matrix based on the vehicle information and the environmental information; splitting the target matrix to obtain a plurality of sub-matrices; and obtaining target driving control information of the target vehicle based on matrix elements in the sub-matrices and driving control information of a surrounding vehicle of the target vehicle.

Abstract: Various embodiments a method and apparatus for unmanned driving behavior decision-making and model training, and an electronic device. The method includes: acquiring sample data, wherein the sample data includes a sample image; extracting a sample feature vector corresponding to the sample data, wherein a feature vector of the sample image is extracted by manifold dimension reduction; and based on the sample feature vector, training by semi-supervised learning to obtain a target decision-making model, wherein the target decision-making model is used for decision-making classification.

Abstract: The present invention discloses a highly reliable implantable device of an implantable biological sensor. Before use, the fixed seat cannot move relative to the slidable seat, achieving reliable transportation. In use, the lower end face of the slidable seat is pressed against the skin; the lower end face of the first snap-fit protrusion squeezes the upper end face of the vertical snap-fit plate; the first snap-fit protrusion is gradually away from the support of the vertical snap-fit plate, whereby the inside vertical face of the vertical snap-fit plate pushes the first snap-fit protrusion inward, and the fixed seat moves downward relative to the slidable seat, achieving good controllability.

Abstract: Vehicle control is provided, including: obtaining vehicle information of a target vehicle and environmental information of a reference environment in which the target vehicle is located; obtaining a target matrix based on the vehicle information and the environmental information; splitting the target matrix to obtain a plurality of sub-matrices; and obtaining target driving control information of the target vehicle based on matrix elements in the sub-matrices and driving control information of a surrounding vehicle of the target vehicle.

Abstract: This application provides a method and apparatus for unmanned driving behavior decision-making and model training, and an electronic device. The method includes: acquiring sample data, wherein the sample data includes a sample image; extracting a sample feature vector corresponding to the sample data, wherein a feature vector of the sample image is extracted by manifold dimension reduction; and based on the sample feature vector, training by semi-supervised learning to obtain a target decision-making model, wherein the target decision-making model is used for decision-making classification.

Abstract: Embodiments of the present disclosure provide a model generation method, including: constructing a training sample set including a sample image, where feature information of the sample image is line information and optical flow information; and learning the training sample set to generate a recognition model that uses line information and optical flow information of an image as input.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing a video frame. A specific embodiment of the method includes: receiving a video frame set; selecting a video frame from the video frame set, and performing following processing: creating a pixel buffer object newly; reading pixel data of the selected video frame from a frame buffer corresponding to a central processing unit, and writing the read pixel data into the newly created pixel buffer object; storing the written pixel buffer object into a pixel buffer object queue; determining whether an unselected video frame is present in the video frame set; and storing the video frame set in response to determining no unselected video frame being present in the video frame set.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing a video frame. A specific embodiment of the method includes: receiving a video frame set; selecting a video frame from the video frame set, and performing following processing: creating a pixel buffer object newly; reading pixel data of the selected video frame from a frame buffer corresponding to a central processing unit, and writing the read pixel data into the newly created pixel buffer object; storing the written pixel buffer object into a pixel buffer object queue; determining whether an unselected video frame is present in the video frame set; and storing the video frame set in response to determining no unselected video frame being present in the video frame set.

Abstract: Provided are a method, a device, a server, and a client device for video processing. The method includes: obtaining, according to the page address of a first video page, page source code of the first video page and video processing rules corresponding to the first video page, the first video page corresponding to the first video; obtaining from the page source code, according to the page source code of the first video page and the video processing rules corresponding to the first video page, video playback information of the first video. The method obtains, by using preset video processing rules, video playback information from a video playback page and associated with a video. Further, video can be played directly without entering a video playback page.

Abstract: A method and device for clearing an application process, and a mobile terminal are provided. The method for clearing an application process includes: clearing the application process; obtaining a restart interval of the application process; and clearing the application process continuously according to the restart interval, until the restart interval is greater than a predetermined time.

Abstract: Disclosed are an information pushing method and a client. The method is applied in the client, and the client collects use habit information of a user. The method comprises: detecting whether an information pushing trigger condition is satisfied, and if yes, obtaining current battery power information and current time information of the client; generating first prompt information matched with a current state of the user according to the usage habit information, the current battery power information and the current time information; and pushing the first prompt information.