33results about How to "Avoid less accurate" patented technology

The invention discloses a positioning and navigation system and method of a robot and relates to the technical field of robots, aiming at solving the problem that the orientation judgment accuracy isrelatively low when a UWB (Ultra Wideband) technology is used for positioning and navigating the robot. The system comprises a plurality of labels, a base station, an electronic compass, a gyroscope and a controller. The method comprises the following steps: calculating a position coordinate of each label in real time and judging whether position coordinate data of each label is reliable or not; if so, determining a relation between a mounting position of each label and the orientation of the robot and combining the position coordinate of each label to determine an orientation angle of the robot; if not, judging whether detection data of the electronic compass is reliable or not; if the detection data is reliable, calculating according to the detection data of the electronic compass and determining the orientation angle of the robot; initializing the detection data of the gyroscope to be 0; when the detection data is not reliable, determining the orientation angle of the robot according to the detection data of the gyroscope. The positioning and navigation system and method of the robot can be applied to a positioning and navigation process of the robot.

The invention discloses a homologous determination method and device for malicious files. The method and device are used for solving the problem of the lower accuracy of the homologous determination result in the prior art. The method comprises the steps that based on the characteristic behavior data information of each malicious file in the first class specified dimension, the category of each malicious file is obtained, and whether the malicious file in the corresponding category is the homologous malicious file or not is determined based on the characteristic behavior data information of each malicious file of each category in the second class specified dimension. Through the fusion analysis of the characteristic behavior data information in the multiple dimensions, the homologous malicious file is accurately judged and the accuracy of the homologous determination result is effectively improved. Moreover, after the determination of the category of the various malicious files, the homologous determination of the category of the various malicious files is conducted, so that the calculated amount of the homologous determination is decreased and the accuracy of the homologous determination result is further improved.

The embodiment of the invention provides a battery management unit test method and system; the test method comprises the following steps: responding to a test command, obtaining a target test case ofa battery management system BMS, obtaining a test script corresponding to the target test case, wherein the test script contains simulation signal information; forming a simulation signal according tothe simulation signal information; outputting the simulation signal to the BMS, obtaining state information of the BMS after the simulation signal is inputted; obtaining the BMS test result accordingto the state information. The test method and system can solve the problems that an existing method enables test personnel to manually simulate the simulation signal, thus causing manpower wastes andlow testing efficiency.

The invention provides an image classification method and device, computer equipment and a storage medium, and belongs to the technical field of image processing. The method comprises the following steps: inputting a target image into an image classification model, classifying the target image based on the image classification model, and outputting a plurality of first confidence coefficients; determining second confidence coefficients of at least two object types corresponding to the at least two image clusters according to the first confidence coefficients of the at least two image clustersmeeting the target condition; and determining at least one object type corresponding to the target image according to the second confidence coefficients of the at least two object types. The technicalscheme is adopted, the problem that the accuracy is low due to the fact that the confidence that the target image belongs to the object type is directly output is avoided, the second confidence of the at least two object types is determined according to the first confidence of the at least two image clusters meeting the target condition, and then the at least one object type is determined, so that the accuracy of the at least one object type is high.

The invention discloses a building positioning method, device and equipment and a computer readable storage medium, and the method comprises the steps: collecting the basic position data of a full user, and obtaining the rough position data of the full user based on the basic position data; obtaining static state data when the user state of the total user in the rough position data is a static state, and associating the static state data with a preset building user sample to obtain a learning sample set; performing model training on all ECIs in the learning sample set to obtain a building positioning decision model corresponding to each ECI; and determining a target building positioning decision model corresponding to a target user in the total users based on each building positioning decision model, and inputting the basic position data of the target user into the target building positioning decision model for training to obtain a building positioning result of the target user. Therefore, the accuracy of positioning the user to the building is improved.

The invention discloses a building positioning method, device, equipment and computer-readable storage medium. The building positioning method of the invention includes: collecting basic position data of all users, obtaining rough position data of all users based on the basic position data; obtaining rough positions Static state data when the user status of all users in the data is in a static state, correlating the static state data with preset building user samples to obtain a learning sample set; performing model training on all ECIs in the learning sample set to obtain The building positioning decision model corresponding to each of the ECIs; determine the target building positioning decision model corresponding to the target user in the total number of users based on each of the building positioning decision models, and input the basic location data of the target user to the target building The positioning decision model is trained to obtain the building positioning result of the target user. Thereby, the accuracy of the user's positioning to the building is improved.

The present invention relates to the technical field of image processing, and discloses a text paragraph structure restoration method, device, equipment and computer storage medium. The method includes: identifying a target picture, and determining all texts in the target picture based on the recognition result of the recognition. The text box and the text box position of each of the text boxes; sorting each of the text boxes according to the position of each of the text boxes, and inputting the text features of each of the text boxes to the preset based on the sorting result of the sorting The deep learning model is trained; based on the training results of the training, the text boxes are merged to obtain all the text paragraphs corresponding to the target picture. The invention improves the accuracy of text paragraph structure restoration.

The present invention provides a device testing method, device and electronic device. A server simulates an abnormal data link corresponding to a data link abnormality identifier, and buries the data link based on the buried point data and a preset standard corresponding to the data link abnormality identifier. The comparison results of the point data are obtained to obtain the data buried point test results. That is, when simulating a data link abnormality scenario, the present invention verifies whether the data embedding method is normal by whether the result fed back by the server is the preset standard data corresponding to the data link abnormality identifier. Since the present invention directly performs the data burying test under the abnormal data link scenario, the problem of low accuracy of the data burying test caused by the abnormal data link can be avoided.

A testing method and system for use with a battery management unit: in response to a test command, acquiring a target test case of a battery management system (BMS) (S101); then acquiring a test script corresponding to the target test case, the test script comprising simulation signal information (S102); thereafter, generating a simulation signal according to the simulation signal information (S103); then outputting the simulation signal to the BMS (S104); acquiring state information of the BMS after input of the simulation signal (S105); thereby obtaining a test result of the BMS according to the state information (S106). Therefore, the testing method and system for use with a battery management unit may solve the problem in the existing technology of wasted labor and low test efficiency which are caused by means of testing personnel manually simulating a simulation signal.

The invention discloses a positioning and navigation system and method of a robot and relates to the technical field of robots, aiming at solving the problem that the orientation judgment accuracy isrelatively low when a UWB (Ultra Wideband) technology is used for positioning and navigating the robot. The system comprises a plurality of labels, a base station, an electronic compass, a gyroscope and a controller. The method comprises the following steps: calculating a position coordinate of each label in real time and judging whether position coordinate data of each label is reliable or not; if so, determining a relation between a mounting position of each label and the orientation of the robot and combining the position coordinate of each label to determine an orientation angle of the robot; if not, judging whether detection data of the electronic compass is reliable or not; if the detection data is reliable, calculating according to the detection data of the electronic compass and determining the orientation angle of the robot; initializing the detection data of the gyroscope to be 0; when the detection data is not reliable, determining the orientation angle of the robot according to the detection data of the gyroscope. The positioning and navigation system and method of the robot can be applied to a positioning and navigation process of the robot.

The invention discloses a homologous determination method and device for malicious files. The method and device are used for solving the problem of the lower accuracy of the homologous determination result in the prior art. The method comprises the steps that based on the characteristic behavior data information of each malicious file in the first class specified dimension, the category of each malicious file is obtained, and whether the malicious file in the corresponding category is the homologous malicious file or not is determined based on the characteristic behavior data information of each malicious file of each category in the second class specified dimension. Through the fusion analysis of the characteristic behavior data information in the multiple dimensions, the homologous malicious file is accurately judged and the accuracy of the homologous determination result is effectively improved. Moreover, after the determination of the category of the various malicious files, the homologous determination of the category of the various malicious files is conducted, so that the calculated amount of the homologous determination is decreased and the accuracy of the homologous determination result is further improved.

The invention relates to the technical field of financial science and technology, and discloses a data processing method, which comprises the following steps of: acquiring initial data of a pluralityof clients in a system data source according to an input data requirement, and performing data analysis processing on each initial data to obtain a plurality of index attribute data of each client; performing customer grouping processing on each customer according to a preset clustering model to obtain a customer group corresponding to each customer, and determining a group type of each customer group according to each index attribute data; and determining a target customer group corresponding to the data demand according to each group type, performing linear regression operation on the targetcustomer group based on a preset linear regression equation, and determining a target customer corresponding to the data demand according to an operation result of the linear regression operation. The invention further discloses a data processing device and equipment and a computer storage medium. According to the invention, the accuracy of screening target customers is improved.

An embodiment of the present application provides a depth-of-field camera module, including a camera lens, a TOF sensor, an RGB sensor, a laser emitter, and an optical path conversion structure. The laser transmitter is used to emit infrared laser to the camera lens. The camera lens is used to transmit the infrared laser to the target object; receive the reflected light reflected by the target object and transmit the reflected light to the optical path conversion structure. Reflected light includes infrared laser light reflected by the target object and ambient light. The optical path conversion structure is used to divide at least part of the reflected light into first target light and second target light; emit the first target light to the TOF sensor and emit the second target light to the RGB sensor. The TOF sensor is used to obtain the depth information of the target object from the infrared laser in the first target light. The RGB sensor is used to obtain the RGB information of the target object from the ambient light of the second target light. This application can avoid the problem of low accuracy of the depth-of-field camera module due to the dual-camera structure.

The application provides an image classification method, device, computer equipment and storage medium, belonging to the technical field of image processing. The method includes: inputting a target image into an image classification model, classifying the target image based on the image classification model, and outputting a plurality of first confidence levels; determining at least two Second confidence levels of the at least two object types corresponding to the image cluster; according to the second confidence levels of the at least two object types, at least one object type corresponding to the target image is determined. The above technical solution avoids the problem of low accuracy caused by directly outputting the confidence that the target image belongs to the object type, and determines the second confidence of at least two object types through the first confidence of at least two image clusters that meet the target conditions. Confidence, and then determine at least one object type, so that the accuracy of the at least one object type is relatively high.

The invention discloses a method and equipment for determining a transmission line standard device and calibration equipment. The method comprises the steps of determining a to-be-calibrated band of to-be-calibrated equipment; selecting a first frequency in the to-be-calibrated band, and calculating a channel combine corresponding to the first frequency; determining the thickness of the transmission line standard device corresponding to the to-be-calibrated band according to a set phase change interval and the channel combine corresponding to the first frequency; and determining the transmission line standard device according to the thickness. The thickness of the transmission line standard device is determined according to the set phase change interval and the channel combine corresponding to the first frequency included in the to-be-calibrated band, and the transmission line standard device is determined based on the determined thickness, so that the thickness of the determined transmission line standard device is obviously increased, and the problem of low accuracy of calibration on a vector network analyzer with a TRL (Transistor Resistor Logic) method due to deformation of the transmission line standard device can be effectively solved.