Abstract: The present application relates to a method for vehicle hinge point calibration, comprising: acquiring a raw image of a first portion and a second portion hinged to one another of a vehicle; adjusting, stitching and cropping the raw image to obtain respective independent surround-view images of the first portion and the second portion; and at least on the basis of the independent surround-view images of the first portion and the second portion, calculating the angle of rotation and the corresponding translation vector between the first and second portions, and thus calculating the coordinates of the respective hinge points of the first and second portions. Further comprised in the present application are an apparatus for vehicle hinge point calibration, a computer device, and a computer-readable storage medium.

Abstract: The present disclosure relates to a high-precision automatic weighing device for powder samples, including a three-dimensional moving track and a working area, wherein the three-dimensional moving track includes a horizontal length track, a vertical track and a horizontal width track, the vertical track being slidingly connected to the horizontal length track, the horizontal width track being slidingly connected to the vertical track; the horizontal length track is arranged on one side of the working area, and a cleaning area, a sample storage area and a weighing area are provided in sequence along the horizontal length track within the working area; a series of slideways are connected to a mechanical claw for grabbing a sample tube in the sample storage area, a fine-tuning sample releasing mechanism to release samples in trace amounts, a sample head clamping part for mounting or dismounting of a sample head, and a sample loosening pestle.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server for database search and knowledge mining. The server may learn different table's semantics, relationships, and usage by parsing historical query logs and analyzing tables' metadata (e.g., table descriptions). The analytic server may generate a graph database based on the table relationships obtained from the parsing. The graph database may be a relationship graph where tables are the nodes and edges represent the relationships among tables. When the server receives a query, the server extract semantics of the query, and return a set of tables that are semantically similar to the query. The set of tables may be a list of tables whose semantic similarities with the query satisfies a threshold. The analytic server may further generate a graph including the list of tables to show the relationships of these tables.

Abstract: The present application relates to a method for vehicle hinge point calibration, comprising: acquiring a raw image of a first portion and a second portion hinged to one another of a vehicle; adjusting, stitching and cropping the raw image to obtain respective independent surround-view images of the first portion and the second portion; and at least on the basis of the independent surround-view images of the first portion and the second portion, calculating the angle of rotation and the corresponding translation vector between the first and second portions, and thus calculating the coordinates of the respective hinge points of the first and second portions. Further comprised in the present application are an apparatus for vehicle hinge point calibration, a computer device, and a computer-readable storage medium.

Abstract: A method for handling an exception or interrupt in a heterogeneous instruction set architecture is provided. A physical host to which the method is applied can support two instruction set architectures. When a secondary architecture virtual machine triggers an exception or interrupt, a virtual machine monitor may translate code of the exception or interrupt in a secondary instruction set architecture into code of the exception or interrupt in a primary instruction set architecture. The virtual machine monitor) may identify the code of the exception or interrupt in the primary instruction set architecture. The virtual machine monitor identifies, based on the translated code, a type of the exception or interrupt triggered by the secondary architecture virtual machine, to handle the exception or interrupt.

Abstract: Embodiments of this application disclose a translation lookaside buffer maintenance method and a related device. The method is applied to an electronic device, the electronic device includes a plurality of physical central processing units (CPUs), a first process is run on the electronic device, the first process currently includes M first threads, the M first threads are currently being respectively run on M physical CPUs of the plurality of physical CPUs, and M is an integer greater than or equal to 1. The method includes: determining a physical CPU range S1 currently corresponding to the first process, where the physical CPU range S1 includes the M physical CPUs on which the first threads in the first process are currently being run; and updating, based on page table information maintained by the first process, translation lookaside buffer TLB information maintained by all physical CPUs in the physical CPU range S1.

Abstract: Provided are a determination method and apparatus of a main shaft bearing state, an electronic device, and a storage medium. The method includes the following steps: Bearing swing data of a target main shaft bearing at multiple moments within a preset time period are acquired; at least one current data period and current-period bearing swing data in each current data period are determined according to the multiple pieces of bearing swing data; a first abrupt change value and a second abrupt change value are determined according to the current-period bearing swing data in each current data period; and a main shaft bearing state of the target main shaft bearing is determined according to the first abrupt change value and the second abrupt change value.

Abstract: The present disclosure relates to a method for generating a panoramic surround view image of a vehicle, comprising: acquiring actual original images of external environment of a first part and a second part of the vehicle hinged to each other; processing the actual original images to obtain respective actual independent surround view images of the first part and the second part; obtaining coordinates of respective hinge points of the first part and the second part; determining matched feature point pairs in the actual independent surround view images of the first part and the second pan; calculating a distance between two points in each matched feature point pair accordingly, and taking matched feature point pairs with the distance less than a preset first threshold as a successfully matched feature point pairs; and taking a rotation angle corresponding to the maximum number of the successfully matched feature point pairs as a candidate rotation angle of the first part relative to the second part.

Abstract: The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized.

Abstract: The present application relates to a method for vehicle hinge point calibration, comprising: acquiring a raw image of a first portion and a second portion hinged to one another of a vehicle; adjusting, stitching and cropping the raw image to obtain respective independent surround-view images of the first portion and the second portion; and at least on the basis of the independent surround-view images of the first portion and the second portion, calculating the angle of rotation and the corresponding translation vector between the first and second portions, and thus calculating the coordinates of the respective hinge points of the first and second portions. Further comprised in the present application are an apparatus for vehicle hinge point calibration, a computer device, and a computer-readable storage medium.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized.

Abstract: A computer device is disclosed. In a virtualization I/O procedure, a redirection apparatus in a processor is used to implement privilege level switching in a synchronization processing procedure, to directly switch from a virtualization privilege level of a VM to a user mode of a host, and perform corresponding exception processing. In an asynchronous processing procedure, an interrupt request may be asynchronously transferred by using a virtual event notification apparatus and an interrupt controller in the processor without passing through a kernel mode of the host. In both of a synchronous processing procedure and the asynchronous processing procedure of the device, overheads generated during switching are reduced, and performance of the computer device is improved.

Abstract: A method for handling an exception or interrupt in a heterogeneous instruction set architecture is provided. A physical host to which the method is applied can support two instruction set architectures. When a secondary architecture virtual machine triggers an exception or interrupt, a virtual machine monitor may translate code of the exception or interrupt in a secondary instruction set architecture into code of the exception or interrupt in a primary instruction set architecture. The virtual machine monitor) may identify the code of the exception or interrupt in the primary instruction set architecture. The virtual machine monitor identifies, based on the translated code, a type of the exception or interrupt triggered by the secondary architecture virtual machine, to handle the exception or interrupt.

Abstract: The present disclosure relates to a method for generating a panoramic surround view image of a vehicle, comprising: acquiring actual original images of external environment of a first part and a second part of the vehicle hinged to each other; processing the actual original images to obtain respective actual independent surround view images of the first part and the second part; obtaining coordinates of respective hinge points of the first part and the second part; determining matched feature point pairs in the actual independent surround view images of the first part and the second pan; calculating a distance between two points in each matched feature point pair accordingly, and taking matched feature point pairs with the distance less than a preset first threshold as a successfully matched feature point pairs; and taking a rotation angle corresponding to the maximum number of the successfully matched feature point pairs as a candidate rotation angle of the first part relative to the second part.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server for database search and knowledge mining. The server may learn different table's semantics, relationships, and usage by parsing historical query logs and analyzing tables' metadata (e.g., table descriptions). The analytic server may generate a graph database based on the table relationships obtained from the parsing. The graph database may be a relationship graph where tables are the nodes and edges represent the relationships among tables. When the server receives a query, the server extract semantics of the query, and return a set of tables that are semantically similar to the query. The set of tables may be a list of tables whose semantic similarities with the query satisfies a threshold. The analytic server may further generate a graph including the list of tables to show the relationships of these tables.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.