Abstract: The present invention relates to a method for preparing a thermoelectric thick film. The method includes: determining a brittle-to-ductile transition temperature of a thermoelectric material; rolling the blocky thermoelectric material within a temperature range above the brittle-to-ductile transition temperature and below a melting point; parameters of the rolling being as follows: a linear speed of rollers is 0.01 mm/s to 10 mm/s, preferably 0.1 mm/s to 5 mm/s, and an amount of pressing each time of the rollers is controlled at 0.0005 mm to 0.1 mm, preferably 0.001 mm to 0.05 mm; repeating the rolling until a thermoelectric thick film with a specified thickness is obtained; and annealing the obtained thermoelectric thick film; a temperature of the annealing being 100° C. to 800° C., preferably 300° C. to 500° C., and a duration of the annealing being 10 to 500 hours, preferably 100 to 300 hours.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot encountering an unexpected obstacle traversing an area in which the robot is performing an area coverage task. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: The present disclosure provides a display panel and a display device. The display panel includes a substrate, a plurality of pixel units is arranged at a side of the substrate, each pixel unit includes a first electrode layer, a first light-emitting layer, a second electrode layer, a second light-emitting layer, a third electrode layer, a third light-emitting layer and a fourth electrode layer laminated one on another, the first light-emitting layer, the second light-emitting layer, and the third light-emitting layer emit light in different colors, and two vertically adjacent light-emitting layers share one electrode layer.

Abstract: A computer-implemented method for transforming a neural radiance field model is described. A plurality of inputs are provided to a neural radiance field (NeRF) model that represents a 3-dimensional space having a subject, wherein each input of the plurality of inputs includes a location and a view direction and corresponds to respective colors of voxels that represent the 3-dimensional space. A spectral analysis is performed on a plurality of outputs of the NeRF model based on the plurality of inputs, wherein the plurality of outputs include the respective colors of the voxels. Frequency components of the spectral analysis that represent colors for at least some of the voxels are extracted. A sparse volume data structure that represents the 3-dimensional space and the respective colors for the at least some of the voxels is generated.

Abstract: Embodiments of the present disclosure provide an end-cloud collaborative media data processing method and apparatus, a device and a storage medium, where the method includes: calling a target processing flow in response to a first operation triggering a target functionality, where the target processing flow includes a local algorithm node and a remote algorithm node, and the target functionality is used for adding a special effect to media data to be processed; executing, based on the target processing flow, a corresponding local algorithm node and remote algorithm node to obtain first processing data output by the local algorithm node and second processing data output by the remote algorithm node; and generating third processing data through the first processing data and/or the second processing data.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot performing an area coverage task of an unexplored area. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

Abstract: Embodiments of the present disclosure provide an end-cloud collaborative media data processing method and apparatus, a device and a storage medium, where the method includes: calling a target processing flow in response to a first operation triggering a target functionality, where the target processing flow includes a local algorithm node and a remote algorithm node, and the target functionality is used for adding a special effect to media data to be processed; executing, based on the target processing flow, a corresponding local algorithm node and remote algorithm node to obtain first processing data output by the local algorithm node and second processing data output by the remote algorithm node; and generating third processing data through the first processing data and/or the second processing data.

Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object. The object may be associated with a location. One or more pre-stored files may be determined based on the location. The one or more pre-stored files may each correspond to one or more objects proximate to the location. Each of the one or more pre-stored files may comprise data indicative of a corresponding object. The object may be recognized based on comparing the features extracted from the image with data comprised in the one or more pre-stored files. An asset item may be received in response to recognizing the object.

Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object and captured by a camera. The object may be associated with a location. The location may be determined based on information indicating a position where the camera is located. The object may be recognized based at least in part on the features extracted from the image. An asset item may be displayed in response to recognizing the object.

Abstract: Disclosed herein are systems and methods for predicting risk of late age-related macular degeneration (AMD). The method may include receiving one or more color fundus photograph (CFP) images from both eyes of a patient, classifying each CFP image, and predicting the risk of late AMD by estimating a time to late AMD. Classifying each CFP image may include extract one or more deep features for macular drusen and pigmentary abnormalities in each CFP image, grading the drusen and pigmentary abnormalities and/or detecting the presence of RPD in each CFP image. Predicting the risk of late AMD may include estimating a time to late AMD using a Cox proportional hazard model using the presence of RPD, the one or more deep features, and/or the graded drusen and pigmentary abnormalities.

Abstract: An embodiment of the invention provides a method and apparatus for partitioning an electronic fence, relating to the technical field of computers. The method in the embodiment of the invention comprises: partitioning a coordinate system of a planimetric map, and taking one vertex of each partition in the same direction as a base point; generalizing, according to a predetermined rule, a station to the base point corresponding to the partition where the station is located; mapping, according to the predetermined rule, a vehicle position to the base point corresponding to the partition where the vehicle position is located, wherein all the stations included in the base point are stations where a vehicle may appear; and acquiring electronic fence information of the stations where the vehicle may appear, and comparing vehicle position information with the electronic fence information of the stations where the vehicle may appear so as to determine whether the vehicle enters or leaves the stations.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot encountering an unexpected obstacle traversing an area in which the robot is performing an area coverage task. The sensory data are gathered from an operational camera and one or more auxiliary sensors.