Abstract: The present disclosure discloses a method and system for reconstructing data and a scanning device. The method includes: collecting a plurality of sets of image sequences different in brightness level at the same position on a to-be-scanned object; and performing image fusion and three-dimensional reconstruction based on the plurality of sets of image sequences different in brightness level to generate three-dimensional data of the to-be-scanned object.

Abstract: A thermocouple sensor and a production method therefor, wherein the thermocouple sensor has a thermocouple body and a stainless steel pipe, wiring metal ends are arranged at both ends of the thermocouple body, there is an opening at one end of the stainless steel pipe and a pore at another end, the thermocouple body inserts into the stainless steel pipe from the opening, and one of the wiring metal ends passes through the pore and is welded with the stainless steel pipe at the pore. The stainless steel pipe is directly changed from a heat transfer component into a heat sensing component, so that after the stainless steel pipe is in contact with the heat, the heat is not required to be transferred to a heat conducting medium and subsequently to the thermocouple.

Abstract: The disclosure provides a connection and separation device driven by memory alloy wires, including an active end and a passive end. The active end includes a housing, an outer sleeve, fixed sheets, compression springs, a rotating sleeve, a base, memory alloy wires, guide wheels, a lock pin, a limiting sleeve I and a limiting sleeve II. The passive end includes a screw rod, a loading nut, a separation element and an adaptor. The upper end of the screw rod is provided with a threaded section matched with the loading nut, and the lower end of the screw rod is provided with multi-layer oblique protrusions. The multi-layer oblique protrusions extend into the upper part of an accommodating space formed by the limiting sleeve I and the limiting sleeve II.

Abstract: This application provides a communication method and a device. The method includes: sending, by a terminal device to a network device, a random access preamble, receiving, by the terminal device, a random access response (RAR) from the network device, wherein the RAR indicates a first resource, and sending, by the terminal device, downlink channel quality indication information to the network device, wherein the downlink channel quality indication information is carried in a Message 3 on the first resource, and the downlink channel quality indication information is used to indicate downlink channel quality.

Abstract: A method and apparatus for acquiring digital oral cavity data and a tooth scanner control system. The method includes: an oral cavity scanning request is received; scanning data of a target object is acquired based on the oral cavity scanning request, wherein the scanning data includes scanning data of a target scanning rod installed on the target object; the scanning data of the target scanning rod is matched with standard data of the target scanning rod; and the matched standard data of the target scanning rod is utilized for replacing the scanning data of the target scanning rod in the scanning data, and the digital oral cavity data of the target object is obtained.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the execution of the operations of a neural network. One of the methods includes obtaining data representing a graph characterizing a plurality of operations of a neural network, wherein each node of the graph characterizes an operation of the neural network and each edge of the graph characterizes data dependency between the operations; processing the data representing the graph using a graph embedding neural network to generate an embedding of the graph; and processing the embedding of the graph using a policy neural network to generate a task output, wherein the task output comprises, for each of the plurality of operations of the neural network, a respective decision for a particular optimization task.

Abstract: The disclosure discloses a method and device for generating a digital model. The method includes: acquiring integrated point cloud data of a measured object based on at least one set of measured object images of the measured object; performing mesh processing on the integrated point cloud data with at least two different resolutions so as to obtain at least two mesh models of the measured object; and integrating the at least two mesh models so as to generate an integrated mesh model with multiple resolutions.

Abstract: A computer-implemented method comprising: outputting questions to a user via one or more user devices, and receiving back responses to some of the questions from the user via one or more user devices; over time, controlling the outputting of the questions so as to output the questions under circumstances of different values for each of one or more items of metadata, wherein the one or more items of metadata comprise one or more physical conditions of the user; monitoring whether or not the user responds when the question is output with the different metadata values; training the machine learning algorithm to learn a value of each of the items of metadata which optimizes a reward function, and based thereon selecting a circumstance when the user is exhibiting a particular physical condition to output subsequent questions.

Abstract: A simulation of an autonomous driving vehicle (ADV) includes capturing first data that includes a control command output by an autonomous vehicle controller of the ADV, and capturing second data that includes the control command being implemented at a control unit of the ADV. The control command, for example, a steering command, a braking command, or a throttle command, is implemented by the ADV to affect movement of the ADV. A latency model is determined based on comparing the first data with the second data, where the latency model defines time delay and/or amplitude difference between the first data and the second data. The latency model is applied in a virtual driving environment.

Abstract: A multi-cell battery powered device can include at least one power input, a first power converter coupled between the power input and a battery bus, a second power converter coupled between the battery bus and a system load of the electronic device, a plurality of cells, and a plurality of primary battery protection switches. The primary battery protection switches can be selectively operable to couple the plurality of cells in: (1) a parallel configuration in which the cells are coupled to the battery bus so as to charge or discharge in parallel, (2) a series configuration in which the cells are coupled to the battery bus so as to charge or discharge in series, and (3) an isolated configuration in which at least one of the plurality of cells is coupled to the battery bus and at least one of the plurality of cells is disconnected from the battery bus.

Abstract: A computer-implemented method comprising: outputting questions to a user via one or more user devices, and receiving back responses to some of the questions from the user via one or more user devices; over time, controlling the outputting of the questions so as to output the questions under circumstances of different values for each of one or more items of metadata, wherein the one or more items of metadata comprise at least a time and/or a location at which a question was output to the user via the one or more user devices; monitoring whether or not the user responds when the question is output with the different metadata values; training the machine learning algorithm to learn a value of each of the items of metadata which optimizes a reward function, and based thereon selecting a time and/or location at which to output subsequent questions.

Abstract: A deformable electronic device includes a flexible display, one or more sensors, at least one imager, and one or more processors. The one or more sensors detect deformation of the deformable electronic device. The at least one imager, which is disposed beneath the flexible display, captures one or more images of an identifiable marker of the flexible display in response to the one or more sensors detecting the deformation of the deformable electronic device. The one or more processors estimate an amount of the deformation of the deformable electronic device as a function of how far the identifiable marker of the flexible display translates across the at least one imager during the deformation of the deformable electronic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compiler optimizations using a compiler optimization network. One of the methods includes receiving an input program, wherein the input program defines a graph of operation modules, wherein each node in the graph is a respective operation module, and each edge between nodes in the graph represents one operation module receiving the output generated by another operation module. The input program is processed by a compiler optimization network comprising a graph-embedding network that is configured to encode operation features and operation dependencies of the operation modules of the input program into a graph embedding representation and a policy network that is configured to generate an optimization action for each of one or more nodes encoded in the graph embedding representation.

Abstract: A vehicle frame and a vehicle are provided. The vehicle frame includes the vehicle frame includes a frame body and an antenna device, and the frame body includes a plurality of supporting beams fixedly connected and is further provided with a protection part; and the antenna device is mounted on the frame body, and the protection part is disposed outside the antenna device, to block the antenna device from an object in an external environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the execution of the operations of a neural network. One of the methods includes obtaining data representing a graph characterizing a plurality of operations of a neural network, wherein each node of the graph characterizes an operation of the neural network and each edge of the graph characterizes data dependency between the operations; processing the data representing the graph using a graph embedding neural network to generate an embedding of the graph; and processing the embedding of the graph using a policy neural network to generate a task output, wherein the task output comprises, for each of the plurality of operations of the neural network, a respective decision for a particular optimization task.

Abstract: A communication device, method, and computer program product prompt correct face/eye positioning to enable perceived eye-to-eye contact of a user of a video capturing device with camera on a same device side as the viewable display device. A first communication device includes a first display device having a first graphical user interface (GUI). A first image capturing device of the first communication device has a field of view that captures a face of a first user viewing the first GUI. The first image capturing device generates a first image stream of the field of view. A controller of the communication device identifies a look target area of the first GUI proximate to the first image capturing device. The controller presents visual content on the first GUI within the look target area to prompt the first user viewing the first GUI to look towards the look target area.

Abstract: An antenna, an antenna assembly and a wireless communication device are provided. The antenna includes an antenna substrate; and at least one radiation unit disposed on the antenna substrate, each of the at least one radiation unit including: a first radiation branch, and a second radiation branch, where one of the first radiation branch or the second radiation branch is connected to a feeding point, the other of the first radiation branch or the second radiation branch is connected to a ground point, an end part of the first radiation branch bends toward the second radiation branch, and an end part of the second radiation branch is extend in a direction away from the first radiation branch.

Abstract: Disclosed are a labeling method and apparatus for named entity recognition of a legal instrument. The method includes steps: step S1: acquiring a legal text, and transforming the legal text into an index table; step S2: outputting a sentence feature encoding result; step S3: performing training and prediction; step S4: obtaining a set; step S5: obtaining a multi-head score transfer matrix; step S6: obtaining a score transfer matrix corresponding to the legal text; step S7: determining a recognized nested entity; and S8: constructing an entity labeling template by using the recognized nested entity. According to the present disclosure, a user tries to complete recognition of nested entity labeling by changing an input of the BERT model, and a multi-head selection matrix labeling thought of the present disclosure is used to relieve the difficulty in recognizing a long text and a nested entity in an NER task to a larger extent.

Abstract: A method and system for monitoring a rail vehicle are provided. The method includes: a local device acquires current operating data and historical operating data of a rail vehicle from a controller of the rail vehicle, herein the local device, which is connected with the controller, is a portable testing device; the local device obtains fault information according to the current operating data and the historical operating data, herein the fault information includes at least one of a fault code and a fault description; the local device obtains a maintenance plan corresponding to the fault information, herein the maintenance plan is obtained through a remote device or a server side; and the local device maintains the rail vehicle according to the maintenance plan. The disclosure solves a technical problem in the traditional art that a troubleshooting process of a rail vehicle is difficult, and when the rail vehicle has a fault, the fault cannot be solved timely.