Abstract: Disclosed is an oil-containing fiber-polymer self-lubricating composite material. The composite material includes a resin matrix and an oil-containing fiber dispersed in the resin matrix, wherein a mass ratio of the resin matrix to the oil-containing fiber is in the range of 100:(1-10); the resin matrix is a photocurable resin or a thermosetting resin; the oil-containing fiber comprises a natural fiber and a lubricating oil adsorbed in the natural fiber.

Abstract: System, methods, and other embodiments described herein relate to training a model to stylize low-light images for improved perception. In one embodiment, a method includes encoding, by a style model, an input image to identify first content information. The method also includes decoding, by the style model, the first content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes training the style model according to computed losses between the input image and the synthetic image.

Abstract: A semiconductor device has shielding to prevent transmission and/or reception of EMI and/or RFI radiation. The semiconductor device comprises a substrate including grounded contact pads around a periphery of the substrate, exposed at one or more edges of the substrate. A bump made of gold or other non-oxidizing conductive material may be formed on the contact pads, for example using ultrasonic welding to remove an oxidation layer between the contact pads and the conductive bumps. The conductive bumps electrically couple to a conductive coating applied around the periphery of the semiconductor device.

Abstract: System, methods, and other embodiments described herein relate to training a prediction system for improving depth perception in low-light. In one embodiment, a method includes computing, in a first training stage, losses associated with predicting a depth map for a synthetic image of a low-light scene, wherein the losses include a pose loss, a flow loss, and a supervised loss. The method also includes adjusting, according to the losses, a style model and a depth model. The method also includes training, in a second training stage, the depth model using a synthetic representation of a low-light image. The method also includes providing the depth model.

Abstract: System, methods, and other embodiments described herein relate to improving depth prediction for objects within a low-light image using a style model. In one embodiment, a method includes encoding, by a style model, an input image to identify content information. The method also includes decoding, by the style model, the content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes providing the synthetic image to a depth model.

Abstract: A visual positioning method and a mobile machine using the same are provided. The method includes: extracting a plurality of corner feature points corresponding to a current image; determining whether a distance between each pair of the plurality of corner feature points is less than a first preset threshold; if yes, determining whether a grayscale value of each of the plurality of corner feature points with the distance less than the first preset threshold is within a second preset threshold range; if yes, obtaining cluster set(s) of the corner feature points; screening a plurality of valid feature points from the cluster set(s); determining a positioning reliability based on a ratio of amount of the valid feature points to an amount of the plurality of corner feature points; and if the positioning reliability is within a preset range, performing a visual positioning based on the positioning reliability.

Abstract: The driving method includes: inputting a first scanning signal to each of the first touch electrodes at a same time, and receiving a first sensing signal of each of the second touch electrodes to determine a suspected column according to the first sensing signal; inputting a second scanning signal to each of the second touch electrodes at a same time, and receiving a second sensing signal of each of the first touch electrodes to determine a suspected row according to the second sensing signal; determining a suspected touch region according to the suspected column and the suspected row; and sequentially inputting a third scanning signal row by row to each of the first touch electrodes in the suspected touch region, and receiving a third sensing signal of each of the second touch electrodes in the suspected touch region to determine a touch position according to the third sensing signal.

Abstract: A self-monitoring method of a display and a display are disclosed. The self-monitoring method of a display includes: inputting a first image test signal including a predetermined image test signal; acquiring a display parameter of the predetermined image test signal; dividing at least one frame of image outputted into a plurality of areas, in which the plurality of areas of the image include a predetermined area and a remaining area; acquiring a first display parameter of the predetermined area; comparing the display parameter of the predetermined image test signal with the first display parameter, determining whether or not an image displayed by the display is matched with the first image test signal to acquire a first match result; and determining whether or not display abnormality presents in the display based on the first match result. The method can determine whether or not display abnormality presents in the display.

Abstract: A data backup method includes querying a first block of a first blockchain for unused transaction output information based on a first condition being met, the first block including each block of all blocks included in the first blockchain; generating transaction information according to the unused transaction output information obtained based on the querying, the transaction information indicating a transaction operation based on an account address to which the unused transaction output information belongs; recording the transaction information in a second block and releasing the second block, and recording the second block on which a consensus is reached on a second blockchain; and backing up the first blockchain into a storage system, and deleting the first blockchain. Counterpart apparatus, terminal, server, and/or non-transitory computer-readable medium are also contemplated.

Abstract: The disclosure includes embodiments for vehicular cooperative perception for identifying a subset of connected vehicles from a plurality to aid a pedestrian. In some embodiments, a method includes analyzing pedestrian data to determine a scenario depicted by the pedestrian data and a subset of the connected vehicles from the plurality that have a clearest line of the pedestrian. The method includes identifying a group of conflicted vehicles from the subset whose driving paths conflict with a walking path of the pedestrian. The method includes determining, based on the scenario, digital twin data describing a digital twin simulation that corresponds to the scenario. The method includes determining, based on the digital twin data and the pedestrian data, a group of modified driving paths for the group of conflicted vehicles. The method includes causing the group of conflicted vehicles to travel in accordance with the group of modified driving paths.

Abstract: A method for processing account information in a block chain is provided. A computer device receives identity information and a transfer request, the transfer request requesting to transfer a resource in an account to a target account, the target account being generated by a certificate center. The computer device obtains owner information of the account from the certificate center according to the transfer request. The computer device compares the identity information and the owner information. The computer device transmits an authentication request to the block chain in response to determining that the identity information and the owner information are consistent, the authentication request requesting the block chain to transfer the resource in the account to the target account.

Abstract: Systems and methods for cooperatively managing mixed traffic at an intersection are disclosed herein. One embodiment determines, at an autonomous sensor-rich vehicle, that one or more other vehicles are following in the same lane, the one or more other vehicles including at least one legacy vehicle; communicates with the one or more other vehicles to form a platoon; receives Signal Phase and Timing (SpaT) information from a roadside unit associated with an intersection toward which the platoon is traveling; calculates at the autonomous sensor-rich vehicle, based at least in part on the SPaT information and location information for the platoon, a speed profile and a trajectory for the autonomous sensor-rich vehicle that minimize a delay of the platoon in traversing the intersection while accounting for fuel consumption; and executes the speed profile and the trajectory to control indirectly the one or more other vehicles while the platoon traverses the intersection.

Abstract: Two vehicles—an ego vehicle and an other vehicle—can share sensor data in a streamlined manner. One or more sensors can be configured to acquire first environment data of an external environment of the ego vehicle. A data summary based on second environment data of an external environment of the other vehicle can be received. Whether there is a common region of sensor coverage between the ego vehicle and the other vehicle can be determined. In response to there being a common region, the first environment data that is located within the common region can be identified and the resolution level of the identified first environment data can be reduced. The first environment data that has the reduced resolution level and a remainder of the first environment data excluding the identified first environment data can be transmitted to the other vehicle.

Abstract: A self-monitoring method of a display and a display are disclosed. The self-monitoring method of a display includes: inputting a first image test signal; acquiring a display parameter of the first image test signal; acquiring a first display parameter of at least one frame of image outputted, based on the first image test signal, by the display, in which each frame of image of the at least one frame of image corresponds to a corresponding first display parameter; comparing the display parameter of the first image test signal with the first display parameter, determining whether or not an image displayed by the display is matched with the first image test signal so as to acquire a first match result; and determining whether or not display abnormality presents in the display based on the first match result. The method can determine whether or not display abnormality presents in the display.

Abstract: Cloning and use of an Arachis hypogaea L. flowering habit gene AhFH1 and allelic variants thereof are provided. Through experiments, the Arachis hypogaea L. flowering habit gene AhFH1 and two defunctionalized allelic variants thereof are determined. The defunctionalized allelic variants can cause the change from alternate flowering Arachis hypogaea L. to continuous flowering Arachis hypogaea L. Through overexpression of the gene AhFH1 or supplementary expression of a promoter of the gene itself, a continuous flowering Arachis hypogaea L. variety can be changed into alternate flowering Arachis hypogaea L.; and through knockout or expression suppression of the gene AhFH1, alternate flowering Arachis hypogaea L. can be changed into continuous flowering Arachis hypogaea L. Marker-assisted selection (MAS) breeding is realized for allelic variants of the gene using molecular markers.

Abstract: The present disclosure discloses an information storage method performed at a server.

Abstract: Articles and methods related to passivation layers on alkali metals are generally described.

Abstract: Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.