Abstract: The present invention relates to the technical field of maglev transportation, specifically revealing a method and apparatus for measuring magnetic field intensity in high-temperature superconducting maglev transportation systems.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: An orthodontic self-ligating bracket system with an open auxiliary groove, and a self-ligating bracket. The system includes brackets, wherein each bracket includes a main groove and auxiliary groove, and an elastic baffle plate is between the main and auxiliary grooves; the brackets include first, second and third brackets. The first bracket is arranged on an incisor, the second bracket is arranged on a canine, the third bracket is arranged on a premolar, and the elastic baffle plates of the first bracket, the second bracket and the third bracket are ingeniously arranged, such that an arch wire of the bracket system generates different orthodontic forces at the positions corresponding to different brackets.

Abstract: An orthodontic self-ligating bracket system with an open auxiliary groove, and a self-ligating bracket. The system includes brackets, wherein each bracket includes a main groove and auxiliary groove, and an elastic baffle plate is between the main and auxiliary grooves; the brackets include first, second and third brackets. The first bracket is arranged on an incisor, the second bracket is arranged on a canine, the third bracket is arranged on a premolar, and the elastic baffle plates of the first bracket, the second bracket and the third bracket are ingeniously arranged, such that an arch wire of the bracket system generates different orthodontic forces at the positions corresponding to different brackets.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: This disclosure provides high-definition maps and their generation and usage methods and systems. In an implementation, a high-definition map comprises: a plurality of map elements, wherein each of the plurality of map elements comprises an ID corresponding to the map element, wherein at least one of the plurality of map elements comprises general data and sensitive data, the general data comprises data disclosable according to law, wherein the sensitive data comprises data not disclosable according to the law, and wherein general data and sensitive data in a same map element have a same identifier ID.

Abstract: In an image recognition method, a terminal determines, based on first positioning information, target object information corresponding to building information in a to-be-recognized image in desensitized map data. The desensitized map data does not include a sensitive building. Then, when the terminal determines that the target object information does not include the building information, the terminal determines that the map data does not include the building information. In this case, the terminal determines to recognize the building information as a sensitive building. In other words, the terminal may recognize, by using the desensitized map data, building information corresponding to a sensitive building in the to-be-recognized image.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: Embodiments are generally directed to dynamically dividing activations and kernels for improving memory efficiency. An embodiment of a method in a compute engine performing machine learning comprises: receiving, by a convolutional layer of a convolutional neural network (CNN) implemented on the compute engine, a plurality of activation groups contained in an input data, wherein the convolutional layer includes one or more kernel groups and the one or more kernel groups each include a plurality of kernels; determining a plurality of memory efficiency metrics based on the number of activation groups of the plurality of activation groups and the number of kernels of the plurality of kernels; selecting a first optimal number of activation groups and a second optimal number of kernels that are associated with an optimal memory efficiency metric in the plurality of memory efficiency metrics; and performing a convolutional operation on the input data based on the first optimal number and the second optimal number.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: This invention provides a network element data access processing method and a network management system. In the network management system, a virtual network element is disposed between a network management server and at least one network element device; the virtual network element stores backup data of service data in one or more network element devices; the network management server implements access of service data in a network element device by accessing backup data that is of the service data in the network element device and stored in the virtual network element, so as to implement that the network management server accesses the service data in the network element device without relying on an interface of the network element device any longer, thereby improving access efficiency of accessing the service data by the network management server.

Abstract: According to an alarm correlation analysis method, apparatus, and system, alarm analysis rules are grouped according to a certain policy; each alarm analysis rule group is correlated with one analysis engine, and the analysis engine performs, according to an alarm analysis rule in the alarm analysis rule group corresponding to the analysis engine, correlation analysis for an alarm that has a correlation with the alarm analysis rule group, so that multiple analysis engines implement concurrent analysis on a large quantity of alarms, thereby fully utilizing a multi-core resource, and improving efficiency of alarm correlation analysis.

Abstract: According to an alarm correlation analysis method, apparatus, and system, alarm analysis rules are grouped according to a certain policy; each alarm analysis rule group is correlated with one analysis engine, and the analysis engine performs, according to an alarm analysis rule in the alarm analysis rule group corresponding to the analysis engine, correlation analysis for an alarm that has a correlation with the alarm analysis rule group, so that multiple analysis engines implement concurrent analysis on a large quantity of alarms, thereby fully utilizing a multi-core resource, and improving efficiency of alarm correlation analysis.

Abstract: A frame (10) for an electrical fan includes a bracket (20) and a bearing support (30) located at the center of the bracket. The bearing support includes a metal tube (50) and a plastic body (40) connecting with the metal tube. The metal tube defines at least one connecting hole (52) in a wall thereof. The plastic body includes an inner portion (42) located inside the metal tube, an outer portion (44) located outside the metal tube, and a connecting portion (46) located in the connecting hole and integrally connecting the inner and the outer portions of the plastic body. The inner portion is used for engaging with two bearings (60) for rotatably connecting with a rotor shaft of the electrical fan.

Abstract: A method for selectively connecting a multi-mode mobile phone with a mobile communication network or a wireless network is constructed among a mobile communication network, a wireless network and a multi-mode mobile phone, wherein the multi-mode mobile phone includes a first number corresponding to the mobile communication network, a second number corresponding to the wireless network, and a switching connection software. The multi-mode mobile phone can use the switching connection software to automatically connect the multi-mode mobile phone to the wireless network or the mobile communication network to maintain a better communication quality.

Abstract: A frame (10) for an electrical fan includes a bracket (20) and a bearing support (30) located at the center of the bracket. The bearing support includes a metal tube (50) and a plastic body (40) connecting with the metal tube. The metal tube defines at least one connecting hole (52) in a wall thereof. The plastic body includes an inner portion (42) located inside the metal tube, an outer portion (44) located outside the metal tube, and a connecting portion (46) located in the connecting hole and integrally connecting the inner and the outer portions of the plastic body. The inner portion is used for engaging with two bearings (60) for rotatably connecting with a rotor shaft of the electrical fan.