Abstract: This application provides a video processing method and apparatus. The method includes: adding, by a server, perception attribute information of an object and spatial location information of the object to a video bitstream or a video file, and encapsulating the video bitstream or the video file, where the perception attribute information is used to indicate a property presented when the object is perceived by a user; and obtaining, by a terminal device, the video bitstream or the video file that carries the perception attribute information of the object and the spatial location information of the object, and performing perception rendering on a perception attribute of the object based on behavior of the user, the perception attribute information of the object and the spatial location information of the object.

Abstract: Disclosed is a grinding wheel for online measurement of a grinding force, including a grinding wheel part with a grinding wheel base, CBN abrasive sheets and grinding wheel cover plate, and an acquisition part with tangential, axial, radial strain gauges and a signal unit for signal acquisition and transmission. A concave side end face of the grinding wheel base is provided with a signal unit mounting groove, the grinding wheel cover plate is sealed with the concave side end face, and the CBN block abrasive sheets are bonded on an outer circumferential surface of the grinding wheel base; the tangential, axial and radial strain gauges are respectively arranged on the outer circumferential surface along tangential and axial directions and in the signal unit mounting groove along radial direction; signal output ends of the tangential, axial and radial strain gauges are respectively connected with an input end of the signal unit.

Abstract: Disclosed is a grinding wheel for online measurement of a grinding force, including a grinding wheel part with a grinding wheel base, CBN abrasive sheets and grinding wheel cover plate, and an acquisition part with tangential, axial, radial strain gauges and a signal unit for signal acquisition and transmission. A concave side end face of the grinding wheel base is provided with a signal unit mounting groove, the grinding wheel cover plate is sealed with the concave side end face, and the CBN block abrasive sheets are bonded on an outer circumferential surface of the grinding wheel base; the tangential, axial and radial strain gauges are respectively arranged on the outer circumferential surface along tangential and axial directions and in the signal unit mounting groove along radial direction; signal output ends of the tangential, axial and radial strain gauges are respectively connected with an input end of the signal unit.

Abstract: A method for measuring geometric errors of a numerical control turntable based on a four-station laser tracer system includes: establishing a self-calibration coordinate system and calibrating positions of tracking interferometers; respectively placing each of target lenses at three non-coplanar points that are above the numerical control turntable and keep certain distances from the numerical control turntable, controlling the numerical control turntable to rotate at a certain angular interval ?j, and based on positions of the tracking interferometers being known after calibration, solving coordinates of each of measurement points in the self-calibration coordinate system using a non-linear least square method; establishing a turntable coordinate system; perform a conversion between the turntable coordinate system and the self-calibration coordinate system; separating six geometric errors of the numerical control turntable using spatial position errors of the three points at a same position and using the lin

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.

Abstract: This application provides a user attention detection method and system. The method includes: collecting an electroencephalogram signal of a user from an ear side by using an ear-side wearing apparatus (1100); when it is determined that the ear-side wearing apparatus (1100) can collect electroencephalogram signals from both a left ear canal and a right ear canal of the user, performing differential processing on the electroencephalogram signals from the left ear canal and the right ear canal of the user to obtain an electroencephalogram signal; and detecting an attention type of the user based on the electroencephalogram signal. According to the method and the system, the electroencephalogram signals of the user can be obtained from the ear canals more conveniently and quickly, and an attention status of the user can be detected anytime and anywhere.

Abstract: The invention relates to an image processing apparatus for extracting a feature from an image of a scene. The apparatus may comprises processing circuitry configured, in response to a feature extraction event, to extract a feature from first image data representing a first image of a scene, wherein the feature extraction event is based on second image data representing a second image of the scene. The image processing apparatus may include an event driven sensor and the second image may include may include a positive/negative amount of the intensity change and the location of the intensity change. Moreover, the invention relates to a corresponding image processing method.

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.

Abstract: A polishing device for optical elements includes: a tool shank (1), and a polishing disc base; wherein the tool shank (1) is connected to the polishing disc base and is mounted on a tool shaft of a numerical-controlled processing device; wherein a polishing film (3) is stuck on the polishing disc base; the polishing disc base is a profiling polishing disc base (7), a cylinder polishing disc base (2), a profiling polishing disc base (12) or a spherical polishing disc base (8); wherein the tool shank (1) is independent and universal, thereby reducing the processing cost of the polishing device. A polishing method for optical elements is based on the shapes mentioned above of the polishing disc base, including steps of: fixing a polishing disc connecting rod (11); sticking a polishing film (3); trimming the polishing film (3); and polishing an unprocessed work piece (6).

Abstract: A method for measuring geometric errors of a numerical control turntable based on a four-station laser tracer system includes: establishing a self-calibration coordinate system and calibrating positions of tracking interferometers; respectively placing each of target lenses at three non-coplanar points that are above the numerical control turntable and keep certain distances from the numerical control turntable, controlling the numerical control turntable to rotate at a certain angular interval ?j, and based on positions of the tracking interferometers being known after calibration, solving coordinates of each of measurement points in the self-calibration coordinate system using a non-linear least square method; establishing a turntable coordinate system; perform a conversion between the turntable coordinate system and the self-calibration coordinate system; separating six geometric errors of the numerical control turntable using spatial position errors of the three points at a same position and using the lin

Abstract: This application provides a video processing method and apparatus. The method includes: adding, by a server, perception attribute information of an object and spatial location information of the object to a video bitstream or a video file, and encapsulating the video bitstream or the video file, where the perception attribute information is used to indicate a property presented when the object is perceived by a user; and obtaining, by a terminal device, the video bitstream or the video file that carries the perception attribute information of the object and the spatial location information of the object, and performing perception rendering on a perception attribute of the object based on behavior of the user, the perception attribute information of the object and the spatial location information of the object.

Abstract: A polishing device for optical elements includes: a tool shank (1), and a polishing disc base; wherein the tool shank (1) is connected to the polishing disc base and is mounted on a tool shaft of a numerical-controlled processing device; wherein a polishing film (3) is stuck on the polishing disc base; the polishing disc base is a profiling polishing disc base (7), a cylinder polishing disc base (2), a profiling polishing disc base (12) or a spherical polishing disc base (8); wherein the tool shank (1) is independent and universal, thereby reducing the processing cost of the polishing device. A polishing method for optical elements is based on the shapes mentioned above of the polishing disc base, including steps of: fixing a polishing disc connecting rod (11); sticking a polishing film (3); trimming the polishing film (3); and polishing an unprocessed work piece (6).

Abstract: In one embodiment, a computer determines a grid topology of an electric grid based on one or more electric grid configuration description files, and also determines a network topology of a computer network used to provide communication to grid devices of the electric grid. By assessing whether the network topology is configured to meet one or more communication requirements of the grid topology (e.g., initially and/or through monitoring for grid changes), the computer may trigger a corrective action (e.g., alarm or reconfiguration) in response to the network topology not being configured to meet the one or more communication requirements of the grid topology.

Abstract: A polishing device for optical elements includes: a tool shank (1), and a polishing disc base; wherein the tool shank (1) is connected to the polishing disc base and is mounted on a tool shaft of a numerical-controlled processing device; wherein a polishing film (3) is stuck on the polishing disc base; the polishing disc base is a profiling polishing disc base (7), a cylinder polishing disc base (2), a profiling polishing disc base (12) or a spherical polishing disc base (8); wherein the tool shank (1) is independent and universal, thereby reducing the processing cost of the polishing device. A polishing method for optical elements is based on the shapes mentioned above of the polishing disc base.

Abstract: System, method, and computer program product to capture, at a first network element in a substation network, a first data packet transmitted according to a predefined protocol, compare a MAC address of the first data packet to a MAC address table of at least one of the plurality of network elements, upon determining that the MAC address of the first data packet is defined in the MAC address table as belonging to a first substation power device, identify, from the MAC address table, a first port of a first network element, that the first substation power device is connected to, and retrieve, from a Substation Configuration Language file, a name for the first substation power device based on a logical node name in the first data packet, and generate a visual depiction of a network topology of the plurality of network elements and the first substation power device.

Abstract: Various embodiments relate to methods, apparatuses and computer-readable mediums for organizing data relating to a product. An embodiment relates to a method for generating a modified hierarchy for a product based on data relating to the product. The method includes generating an initial hierarchy for the product, the initial hierarchy comprising a plurality of nodes, each node representing a different product aspect, the plurality of nodes being interconnected in dependence on relationships between different product aspects. The method also includes identifying a product aspect from the data. The method additionally includes determining an optimal position in the initial hierarchy for the identified product aspect by computing an objective function. The method further includes inserting the identified product aspect into the optimal position in the initial hierarchy to generate the modified hierarchy.

Abstract: In one embodiment, a computer determines a grid topology of an electric grid based on one or more electric grid configuration description files, and also determines a network topology of a computer network used to provide communication to grid devices of the electric grid. By assessing whether the network topology is configured to meet one or more communication requirements of the grid topology (e.g., initially and/or through monitoring for grid changes), the computer may trigger a corrective action (e.g., alarm or reconfiguration) in response to the network topology not being configured to meet the one or more communication requirements of the grid topology.

Abstract: Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.

Abstract: Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.