Abstract: An example method of virtualizing a hardware accelerator in a host cluster of a virtualized computing system includes: commanding, at an initiator host in the host cluster, a programmable expansion bus device to reconfigure as a virtual accelerator based on specifications of a hardware accelerator in a target host of the host cluster; executing, in the programmable expansion bus device, software to emulate the virtual accelerator as connected to an expansion bus of the initiator host; receiving, at the programmable expansion bus device, compute tasks from an application executing in the initiator host; and sending, to the target host, the compute tasks for processing by the hardware accelerator.

Abstract: An identity certificate may be issued to a blockchain node. The issuance may include issuing a first identity certificate to a first terminal and receiving a second identity certificate issuance request that is from the first terminal. A second identity certificate may be issued to the first terminal, and a third identity certificate issuance request is received from the second terminal. A third identity certificate is issued to the second terminal, so that the second terminal forwards the third identity certificate to the third terminal.

Abstract: Sessions in progress are seamlessly moved between devices of a software platform. Proximity-based session handovers are performed between devices of the software platform utilizing non-penetrating signals. The non-penetrating signals are detected by mobile devices. The non-penetrating signals include a frequency signature. The frequency signature is associated with a stationary device. A request to handover a session in progress from the mobile device to the stationary device is transmitted based on the detection of a non-penetrating signal. A handover of the session in progress from the mobile device to the stationary device is performed such that the session in progress is continued at the stationary device without interruption.

Abstract: The present disclosure relates to systems and methods for capture actions of users participating within a virtual conference and conveying those actions to participants of the virtual conference. The systems and methods include connecting to at least one wearable device, connecting to a virtual conference device connected to a virtual conference hosted by a virtual conference provider, receiving sensor data from the at least one wearable device, identifying one or more expressions based on the sensor data, and transmitting the identified one or more expressions to the virtual conference device to be provided to the virtual conference provider for conveyance within the virtual conference.

Abstract: Dynamic tracking methods for an in-vivo three-dimensional key point and an in-vivo three-dimensional curve can include mapping a first local region to a first local point cloud and mapping a second local region to a second local point cloud according to a mapping relation between an endoscopic image and the point clouds; determining a first three-dimensional key point of a first two-dimensional key point on the first local point cloud, and acquiring a second three-dimensional key point on the second local point cloud through a coordinate transformation; and mapping the second three-dimensional key point back to the second local region, so as to acquire a second two-dimensional key point from a next image; and acquiring two-dimensional coordinates of a tracked key point by minimizing a preset optimization function in combination with an initial two-dimensional key point, and finally acquiring corresponding three-dimensional coordinates.

Abstract: The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Abstract: Disclosed is a method for preparing iron phosphate and by-product fertilizer using ammonium phosphate. The granulation device for by-product fertilizer production comprises a housing having accommodation space which is divided from top to bottom into a granulation chamber, a material-screening chamber and a temporary material-storing chamber; a blowing component provided between the granulation chamber and the material-screening chamber; and a vibrating screen which is able to vertically reciprocated provided between the material-screening chamber and the temporary material-storing chamber which is connected to a discharge pipe, wherein the upper end of the housing is provided with a detachable cover having multiple spraying devices for spraying the molten material into the housing and connected to an exhaust pipe.

Abstract: The present application provides a model training method and apparatus, and a prediction method and apparatus, and it relates to fields of artificial intelligence, deep learning, image processing, and autonomous driving. The model training method includes: inputting a first sample image of sample images into a depth information prediction model, and acquiring depth information of the first sample image; acquiring inter-image posture information based on a second sample image of the sample images and the first sample image; acquiring a projection image corresponding to the first sample image, at least according to the inter-image posture information and the depth information; and acquiring a loss function by determining a function for calculating a similarity between the second sample image and the projection image, and training the depth information prediction model using the loss function.

Abstract: A radar point cloud data processing method and device, an apparatus, and storage medium are provided, which are related to technical fields of radar point cloud, automatic driving, and deep learning. An implementation includes: determining a target location area where a target object is located by utilizing a target detection box in the radar point cloud data; removing each point of the target object in the target location area from the radar point cloud data; and adding an object model to the target location area. By applying embodiments of the present disclosure, richer radar point cloud data may be obtained by removing the target object from the radar point cloud data and adding the needed three-dimensional model to the target location area in the radar point cloud data.

Abstract: A method for generating simulated point cloud data, a device, and a storage medium includes: acquiring at least one frame of point cloud data collected by a road collecting device in an actual environment without a dynamic obstacle as static scene point cloud data; setting, least one dynamic obstacle in a coordinate system matching the static scene point cloud data; simulating in the coordinate system, a plurality of simulated scanning lights emitted by a virtual scanner located at an origin of the coordinate system; updating the static scene point cloud data according to intersections of the plurality of simulated scanning lights and the at least one dynamic obstacle to obtain the simulated point cloud data comprising point cloud data of the dynamic obstacle; and at least one of adding a set noise to the simulated point cloud data, and, deleting point cloud data corresponding to the dynamic obstacle according to a set ratio.

Abstract: A loudspeaker system includes a loudspeaker base and a loudspeaker peripheral that is independent of the loudspeaker base. The loudspeaker peripheral is shaped as a role figure. The loudspeaker base and the loudspeaker peripheral connect through a contact connection or a non-contact connection, and provide personalized voice data corresponding to the role figure when connected.

Abstract: Sessions in progress are seamlessly moved between devices of a software platform. Proximity-based session handovers are performed between devices of the software platform utilizing short range signals. The short range signals include a frequency signature. The frequency signature is associated with a vehicle. A handover a session in progress from a mobile device to the vehicle is performed based on the detection of a short range signal.

Abstract: Sessions in progress are seamlessly moved between devices of a software platform. Proximity-based session handovers are performed between devices of the software platform utilizing non-penetrating signals. The non-penetrating signals are detected by mobile devices. The non-penetrating signals include a frequency signature. The frequency signature is associated with a stationary device. A request to handover a session in progress from the mobile device to the stationary device is transmitted based on the detection of a non-penetrating signal. A handover of the session in progress from the mobile device to the stationary device is performed such that the session in progress is continued at the stationary device without interruption.

Abstract: The method for improving measurement accuracy of a measurement system includes: emitting, by a light-emitting unit, at least one light signal to penetrate a human tissue; receiving, by a photoelectric conversion unit, the at least one light signal emitted by the light-emitting unit after penetrating the human tissue, and converting the at least one light signal into an electrical signal; converting, by a analog-to-digital conversion unit, the electrical signal into a digital signal; optimizing, by a signal-to-noise ratio optimization module, a signal-to-noise ratio of the digital signal by establishing at least one of a plurality of logic strategies; adjusting, by the driving adjustment unit, an magnitude of a driving current of the light-emitting unit base on the adjustment coefficient; and performing, by an algorithm processing unit, a physiological parameter conversion and calculation based on the digital signal processed by the at least one logic strategy.

Abstract: A finger clip type oximetry device adaptive to thick and thin fingers comprises a housing, an upper finger pad, a lower finger pad, a light emitting device and a receiver provided and a rotating mechanism. Wall surfaces of the upper and lower finger pads enclose an accommodating cavity. An opening is formed in one end of the accommodating cavity. An arc-shaped first contact surface is provided in an area of the lower finger pad in the accommodating cavity in contact with the pulp of the finger, and an arc-shaped second contact surface is provided in an area of the upper finger pad in the accommodating cavity in contact with the finger back. A first concave surface and second concave surfaces are provided along a transverse direction of the finger. The bending degree of the first concave surface is greater than that of the second concave surfaces.

Abstract: A method and system for simulating a distribution of obstacles are provided. The method includes: acquiring a plurality of point clouds of a plurality of frames, wherein each point cloud includes a plurality of original obstacles; acquiring real labeling data of an acquisition vehicle, and obtaining data of a simulation position of the acquisition vehicle based on the real labeling data and a movement rule of the acquisition vehicle; determining the number of obstacles to be simulated based on the data of the simulation position of the acquisition vehicle; selecting the determined number of obstacles to be simulated, from a range with the simulation position of the acquisition vehicle as a center, wherein the range is less than or equal to a maximum scanning range of the vehicle; and acquiring real labeling data of the selected obstacles, and obtaining a position distribution of the selected obstacles.

Abstract: Embodiments of an obstacle distribution simulation method, device and terminal based on a probability graph are provided. The method can include: acquiring a plurality of point clouds of a plurality of frames; acquiring real labeling data of an acquisition vehicle at vehicle labeled positions, and acquiring data of a simulation position of the acquisition vehicle; determining the number of obstacles to be simulated at a position to be simulated; extracting real labeling data of the obstacles, and constructing a labeling data set; dividing the labeling data set into a plurality of grids and calculating occurrence probabilities of the plurality of obstacles; selecting the determined number of obstacles to be simulated according to the occurrence probabilities; and acquiring a position distribution of the selected obstacles to be simulated for the position to be simulated based on the real labeling data of the selected obstacles to be simulated.

Abstract: A loudspeaker system includes a loudspeaker base and a loudspeaker peripheral that is independent of the loudspeaker base. The loudspeaker peripheral is shaped as a role figure. The loudspeaker base and the loudspeaker peripheral connect through a contact connection or a non-contact connection, and provide personalized voice data corresponding to the role figure when connected.

Abstract: A loudspeaker system includes a loudspeaker base and a loudspeaker peripheral that is independent of the loudspeaker base. The loudspeaker peripheral is shaped as a role figure. The loudspeaker base and the loudspeaker peripheral connect through a contact connection or a non-contact connection, and provide personalized voice data corresponding to the role figure when connected.

Abstract: A simulation data augmentation method, a simulation data augmentation device and a simulation data augmentation terminal are provided according to embodiments of the present application. The method includes: acquiring a point cloud based on a plurality of frames, wherein the point cloud includes a plurality of obstacles labeled with real labeling data; dividing the point cloud into a plurality of preset regions, wherein each of the preset regions includes at least one obstacle; and adjusting the obstacle based on the real labeling data of the obstacle in the preset regions to obtain simulation data.