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, in which the first image test signal includes playing signals of at least two frames of test image that are played in turn by switching; acquiring a display parameter of the predetermined image test signal; dividing at least two frames of image outputted into a plurality of areas, in which the areas include a predetermined area and a remaining area; acquiring a first display parameter of the predetermined area; determining whether or not an image displayed 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: This application discloses a blockchain-based data processing method performed by a computer device. The method includes: in response to a selection operation of media elements associated with a target object, acquiring a target media element combination based on the selected media elements; in response to a virtual resource creation operation for the target media element combination, generating target combined media data corresponding to the target media element combination; and transmitting a virtual resource creation request for the target combined media data to a blockchain network, wherein the blockchain network creates a target on-chain virtual resource corresponding to the target combined media data after determining that the target combined media data passes duplicate check and verification, and an ownership right of the target on-chain virtual resource belonging to the target object.

Abstract: A method for electing a representative node device is performed at a blockchain system, including: obtaining voting transaction data from the node devices, the voting transaction data being used for voting for one or more node devices of the blockchain system as representative node devices; generating and storing the voting transaction data into a target blockchain of the blockchain system when a plurality of node devices of the blockchain system verify the voting transaction data by consensus; and when a quantity of blocks in the target blockchain generated using the voting transaction data reaches a preset quantity, determining an election result according to quantities of votes of the node devices determined from the voting transaction data, the election result identifying a plurality of representative node devices in the blockchain system being configured to generate new blocks for the target blockchain and perform verification on the new blocks by consensus.

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: The present disclosure discloses a client device having a digital signature. The client device includes processing circuitry configured to send a message to be stored in nodes after the nodes reach a consensus on the message. The message includes the digital signature of the client device. The processing circuitry obtains results from a subset of the nodes that receive the message. The results have respective digital signatures of the subset of the nodes. The nodes are in a first consensus mode for reaching the consensus on the message. After verifying the digital signatures, the processing circuitry determines whether one or more of the nodes has malfunctioned based on the results. Based on a determination that the one or more of the nodes has malfunctioned, the processing circuitry triggers the nodes to switch from the first consensus mode to a second consensus mode for reaching the consensus on the message.

Abstract: The present invention provides an STPA method and apparatus for accurate identification of a loss scenario. The method comprises: defining the purpose of the analysis, comprising identifying of a loss; modeling a system state machine using a finite state machine; identifying an unsafe control action using the identified loss and the modeled system state machine. The method according to the present invention achieves accurate and efficient identification of loss scenarios of a complex system using state machines and model checking techniques.

Abstract: A method of matching objects in collaborative perception messages is provided. The method includes obtaining a first collaborative perception message (CPM) message from a first node, obtaining a second CPM from a second node, calculating an adaptive threshold based on uncertainty of the first CPM and uncertainty of the second CPM, calculating scores for pairs of objects, each of the pairs of objects including one object in the first CPM and one object in the second CPM, filtering out one or more pairs whose score is greater than the adaptive threshold to obtain a filtered matrix; and implementing a fusion algorithm on the filtered matrix to obtain correspondence identification among objects.

Abstract: A type of cat litter and its preparation method are provided. The content of this cat litter is calculated according to parts by mass and includes the following components: 100 parts of plant fiber waste, 1-7 parts of bacteriostat, 1-34 parts of deodorant, 1-27 parts of agent, 1-47 parts of binder, 1-94 parts of water-absorbing agent and 20-80 parts of water, wherein the bacteriostatic agent includes a mesoporous solid base.

Abstract: This application provides a paper pulp, a method for producing paper pulp, and a paper pulp product. The method for producing paper pulp includes: crushing bamboo shoot shells to obtain crushed materials; mixing the crushed materials with cooking, cooking the mixture to obtain slurry; washing the slurry to obtain waste liquid and washed slurry; purifying the washed slurry to obtain the paper pulp.

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: The disclosure includes embodiments for adaptive sensor data sharing by a connected vehicle. A method includes calculating, by a processor of an ego vehicle, a view angle overlap between a first sensor of the ego vehicle and a second sensor of a roadway device, wherein the view angle overlap is an amount of sensor view overlap shared by first sensor and the second sensor. The method includes determining an amount of ego sensor data to share with the roadway device based on the view angle overlap. The method includes building a sharing message that includes the amount of ego sensor data in a payload of the sharing message. The method includes transmitting, by a communication unit of the ego vehicle, the sharing message to the roadway device.

Abstract: The disclosure includes embodiments for a location data correction service for connected vehicles. A method includes receiving, by an operation center via a serverless ad-hoc vehicular network, a first wireless message that includes legacy location data that describes a geographic location of a legacy vehicle. The method includes causing a rich sensor set included in the operation center to record sensor data describing the geographic locations of objects in a roadway environment. The method includes determining correction data that describes a variance between the geographic location of the legacy vehicle as described by the sensor data and the legacy location data. The method includes transmitting a second wireless message to the legacy vehicle, wherein the second wireless message includes the correction data so that the legacy vehicle receives a benefit by correcting the legacy location data to minimize the variance.

Abstract: Systems and methods are provided to implement cooperative traffic congestion detection, and enhance the accuracy of detection of traffic congestion for enhanced routing and maneuvering vehicles along a travel route. A vehicle is configured to receive vehicle data from an ad-hoc network of a plurality of vehicles that are communicatively connected (and proximately located). A subset of the plurality of vehicles can be sensor-rich vehicles that are equipped with ranging sensors (e.g., cameras, LIDAR, radar, ultrasonic sensors), which enables real-time detection of the multiple traffic parameters, such as the presence of other vehicles, vehicle speed, vehicle movement, traffic, and the like, within the vicinity along the route.

Abstract: Disclosed is Lactobacillus helveticus ZJUIDS12 for treating alcoholic liver disease and application thereof, belonging to food microorganisms. The Lactobacillus helveticus ZJUIDS12 has a strain preservation number of CGMCC NO. 23997. Moreover, disclosed is an application of the Lactobacillus helveticus ZJUIDS12 in preparing products for treating liver injury.

Abstract: A second blockchain system receives a first consensus message from a first blockchain system, the first blockchain system includes first nodes that provide services to at least a first account, and the second blockchain system includes second nodes that provide services to at least a second account. The first consensus message indicates a first plurality of the first nodes reaches a consensus for transferring a resource from the first account to the second account. The second blockchain system transfers the resource in the task to the second account. The transferring includes that a node in the second nodes adds the resource to the second account and generates a fourth block that records a completion of a transfer event. A second consensus message is transmitted from the second blockchain system to the first blockchain system in response to a second plurality of the second nodes completing the transfer event.

Abstract: A method for measuring a distance is provided. The method includes receiving a fine time measurement (FTM) message, extracting channel state information (CSI) from the FTM message, determining with a channel condition classifier a probability that the FTM message is multi-path based on the corresponding CSI, and discarding the FTM message in response to the probability that the FTM message is multi-path is above a threshold level of probability.

Abstract: Systems and methods are provided for utilizing sensor data from sensors of different modalities and from different vehicles to generate a combined image of an environment. Sensor data, such as a point cloud, generated by a LiDAR sensor on a first vehicle may be combined with sensor data, such as image data, generated by a camera on a second vehicle. The point cloud and image data may be combined to provide benefits over either data individually and processed to provide an improved image of the environment of the first and second vehicles. Either vehicle can perform this processing when receiving the sensor data from the other vehicle. An external system can also do the processing when receiving the sensor data from both vehicles. The improved image can then be used by one or both of the vehicles to improve, for example, automated travel through or obstacle identification in the environment.

Abstract: A system for quantitative parameter mapping using magnetic resonance (MR) image includes an input for receiving a plurality of weighted MR images of a subject and a corresponding at least one imaging parameter for the plurality of weighted MR images, and a quantitative parameter mapping neural network coupled to the input and configured to estimate at least one tissue parameter and generate at least one quantitative map for the at least one tissue parameter based on the plurality of weighted MR images of the subject and the corresponding at least one imaging parameter. The quantitative parameter mapping neural network can be trained using a set of training data utilizing at least one confounder for the quantification of the at least one tissue parameter. The system can further include a display coupled to the quantitative parameter mapping neural network to display the at least one quantitative map.

Abstract: Systems and methods for distributed cooperative localization in a connected vehicular platform are disclosed herein. At a first sensor-rich vehicle, one embodiment receives, from a second sensor-rich vehicle via direct vehicle-to-vehicle (V2V) communication, an estimated location of the first sensor-rich vehicle and an associated confidence level; estimates a location of the second sensor-rich vehicle based on first sensor data and assigns a confidence level to the estimated location; transmits to the second sensor-rich vehicle via direct V2V communication, the estimated location of the second sensor-rich vehicle and the assigned confidence level; accepts, based on communication between the first and second sensor-rich vehicles and predetermined acceptance criteria, an assignment to perform localization for a legacy vehicle; estimates a location of the legacy vehicle based on second sensor data; and transmits, to the legacy vehicle, the estimated location of the legacy vehicle.

Abstract: The present disclosure provides a robot mapping method as well as a robot and a computer readable storage medium using the same. The method includes: detecting a marker with identification information capable of being identified by the robot in a current scene; determining whether the detected marker meets a preset condition; and mapping the current scene based on the marker, if the detected marker meets the preset condition. The robot mapping method can not only map the current scene, but also effectively reduce the difficulty of loops and the number of false loops.