48results about How to "Solve technical problems with large errors" patented technology

The invention discloses a method and a device for classifying users according to search log data of a server. The method comprises the following steps: acquiring a query terms used by each of N users during searching from the search log data of the server and b access webpages which are searched according to each query term and are accessed by the users; performing segmentation processing on each query term and the b access webpages which correspond to each query term respectively to obtain c keywords which correspond to each query term; calculating the weights of the c keywords according to the occurrence times of the c keywords in each query term and the b access webpages; establishing a user behavior vector for each user according to the c keywords which correspond to each query term and the weights of the c keywords; calculating the similarity among the user behavior vectors of the N users; classifying the N users according to the calculated similarity.

The invention discloses a two-dimensional code-based positioning method, which relates to the field of map information acquisition. The method includes the steps of: obtaining a captured environment image; Determining a two-dimensional code image in the environmental image according to the environmental image; Analyzing the two-dimensional code image to obtain map coordinates corresponding to fourvertices of the two-dimensional code in a map coordinate system; Acquiring a camera coordinate system of an image pickup apparatus for photographing the environmental image, and determining corresponding image pickup coordinates of the four vertices in the camera coordinate system; According to the map coordinates and the camera coordinates, obtaining the relative pose to the two-dimensional code. The invention also provides a positioning device and a storage medium based on the two-dimensional code, which can more accurately calculate the relative position and posture of the AGV equipment and the two-dimensional code, thereby realizing the positioning of the AGV equipment with higher accuracy.

The invention provides a hyperbolic embedding method for a complex network. The hyperbolic embedding method comprises the following steps: mapping a graph formed by the complex network to a hyperbolicspace with the curvature of -1 based on a Poincare disk model; obtaining a hyperbolic graph embedded in the complex network; wherein the hyperbolic graph comprises node coordinates of each node and aconnection probability between the nodes; and estimating node coordinates in the hyperbolic graph through a logarithm maximum likelihood method according to the degree and weight among the nodes in the complex network and the connection property of each node in the hyperbolic graph, and further obtaining the network after the complex network is embedded into the hyperbolic space according to theoriginal connection relationship of each node. According to the method, more network information can be reserved, errors are reduced, and the information analysis accuracy is improved.

The invention discloses a positioning method for an automatic guiding trolley, which is suitable for the automatic guiding trolley configured with camera shooting equipment, relates to the field of map information acquisition, and comprises the following steps of: obtaining an environment image according to a shooting result of the camera shooting equipment; Performing two-dimensional code detection on the environment image; When the two-dimensional code image is not detected in the environment image, performing two-dimensional code detection on the next frame of environment image; When a two-dimensional code image is detected in the environment image, obtaining map coordinates and camera shooting coordinates of four vertexes of the two-dimensional code image; And according to the map coordinates and the camera shooting coordinates, calculating a conversion relation between the camera shooting coordinates and the map coordinates so as to obtain a relative pose of the automatic guided vehicle and the two-dimensional code. The embodiment of the invention further provides a positioning device of the automatic guide trolley, the relative pose of the automatic guide trolley and the two-dimensional code can be calculated more accurately and efficiently, and therefore higher-precision positioning of the automatic guide trolley is achieved.

The present application discloses a phase detecting method and device, a computer device, and a computer readable storage medium. The method comprises the steps of: obtaining a Hall signal value inducted by a Hall sensor in a three-phase motor, and obtaining a counter electromotive force value of a set A phase relative to a set B phase in the three-phase motor when the current Hall signal value isjumped to an adjacent Hall signal value each time, wherein the counter electromotive force value is detected and obtained when the three-phase motor is in a rotation state under the drive of the external force; and according to the corresponding counter electromotive force value when the current Hall signal value is jumped to the adjacent Hall signal value each time, calculating an electrical angle value corresponding each counter electromotive force value so as to obtain a corresponding relation of A, B and C phases, the Hall signal value of each jump and each electrical angle value. The technical problem is solved that the detection result of the phase detection method large in error in the prior art.

The invention discloses a distributed video coding-based adaptive correlation noise model construction system and a distributed video coding-based adaptive correlation noise model construction method, which belong to the technical field of distributed video coding. The system comprises a DC coefficient tape correlation noise (DCN) mean value calculation module, an original information-assisted residual error processing module, a judgment module and a mode establishment module. A coder transmits a DC coefficient mean value of an original Wyner-Ziv frame to a decoder; and the decoder constructsmodels of a DC coefficient tape correlation noise area and an AC coefficient tape correlation noise area respectively, and dynamically regulates the models mainly by utilizing the positioning and parameter calculation of an original information assistance model provided by the coder in combination with the motion conditions of an image so as to realize adaptive model construction. By the system and the method, the main technical problems of low accuracy and low flexibility of the prior art are solved, the correlation noise model is more accurate on the basis of not increasing the coding complexity and a transmission code rate, and the rate-distortion performance of the whole system is improved; and the system and the method can be used for a distributed video communication system.

The invention provides a chromatography precision detecting method and device. The method comprises that a target detection image which comprises at least two chromatography marks is collected, and each chromatography mark is formed by jet printing by nozzles of different ink colors; the offset of each chromatography mark relative to the reference chromatography mark is determined; and the chromatography precision is determined according to the offset. The chromatography precision of the chromatography marks is determined according to the offset, and thus, the technical problem that the detection method in the prior art is large in error is solved.

The present application discloses a method, an apparatus and a device for acquiring a process model. The method comprises: obtaining a process model of a process object according to a process responsetrend curve input by the process object in a unit step response; using an inertial combined filter to approximate a sliding window filter in the process model to obtain a new process model of the process object; and taking the new process model as a target process model of the process object. According to the technical scheme of the present application, the technical problem that the existing process model obtained by using the Z-N rule has a large error is solved.

The invention discloses a chess playing difficulty grade processing method and a processing device. The method comprises the following steps: recording a chess playing process of a chess player in a human-machine chess playing process in accordance with a preset chess playing difficulty grade; in accordance with the recorded chess playing process, judging whether a chess playing level of the chessplayer adapts to the preset chess playing difficulty grade, so that a judging result is obtained; and offering the judging result as an evidence for setting chess playing difficulty grades of human-machine chess playing in the next turn. With the application of the method and the device provided by the invention, the technical problem in related technologies that a relatively high error is causedsince the chess playing difficulty grades of a robot are adjusted by manpower judgment of a chess player is solved.

The invention relates to a machine arm correction method and device, a controller of a machine arm and a computer readable storage medium. The method comprises the following steps of acquiring a firstcalibration coordinate, a second calibration coordinate, a third calibration coordinate and a fourth calibration coordinate, located on a first calibration point, a second calibration point, a thirdcalibration point and a fourth calibration point respectively, of the machine arm, wherein the first calibration point, the second calibration point, the third calibration point and the fourth calibration point are located on corners of a square calibration plate; obtaining a first calibration distance between the first calibration point and the second calibration point and a second calibration distance between the first calibration point and the fourth calibration point; and taking the first calibration distance, the second calibration distance, the first calibration coordinate, the second calibration coordinate, the third calibration coordinate and the fourth calibration coordinate as measurement parameters for correcting the machine arm. According to the scheme, the machine arm is corrected through the calibration plate, and the correction accuracy of the machine arm is improved.

The invention discloses a method and device for detecting the transient temperature of an overhead conductor, and the method comprises the steps of setting a metal ball body in the same air environment as the overhead conductor, enabling the metal ball body to be in a transient temperature rise state during the short-time overload operation of the overhead conductor, and obtaining the temperatureof the metal ball body at intervals of preset time; based on the transient heat balance equation of the metal spheres, obtaining Reynolds numbers of the metal spheres through calculation according tothe temperatures of the metal spheres, and setting the average value of the Reynolds numbers of the metal spheres as the Reynolds number of the overhead conductor; converting the transient heat balance equation of the overhead conductor according to the Reynolds number of the overhead conductor to obtain a transient temperature prediction function of the overhead conductor; and substituting the preset time into the transient temperature prediction function to calculate the transient temperature of the overhead conductor in the preset time period, so that the technical problem of relatively large errors in transient temperature detection of the overhead conductor under short-time overload operation due to inaccurate measurement of the ambient wind speed in the prior art is solved.

The invention discloses an acquisition method and device of a mobile phone response startup time point, and solves the technical problem of big errors in a traditional mobile phone response performance test. The method comprises the following steps: starting a pointer function of a mobile phone to cause the screen of the mobile phone to display the parameter of a pointer function; receiving the image information of the screen of the mobile phone; executing a simulation clicking operation on a mobile phone setting application; on the basis of the image information, identifying whether digital information in a set area is changed or not; and if the digital information in the set area is changed, recording a change moment as the startup time point of the mobile phone response performance test. After the mobile phone starts the pointer function, the response parameter of touch is displayed on the screen, the parameter is under digital change, and an application startup time point is determined through the change of identification digits on the basis of image processing and identifying ways. Since the change of digital information is completely synchronous with the instruction operation of the mobile phone, and a determined startup time point is accurate.

The invention provides a calibration method and device for single-line laser radar and a multi-line laser radar, and relates to the technical field of data processing, and the method comprises the steps: obtaining a three-dimensional point cloud image, transmitted by the multi-line laser radar, of a target region; obtaining homogeneous coordinates of a fixed point in the target region sent by thesingle-line laser radar, the homogeneous coordinates being coordinate information obtained by scanning the fixed point by the single-line laser radar; determining the scanning pose of the multi-line laser radar in combination with a three-dimensional point cloud chart, the scanning pose being a scanning pose of the multi-line laser radar when the single-line laser radar scans the fixed point; constructing an overdetermined equation set based on the scanning pose and the homogeneous coordinates; and based on the overdetermined equation set, calculating the calibration results of the single-linelaser radar and the multi-line laser radar. The technical problem that in the prior art, errors of the calibration results of the single-line laser radar and the multi-line laser radar are large is solved.

The invention discloses a pitot tube device for measuring pressure pulsation of a hypersonic wind tunnel, belonging to the field of fluid mechanics. The pitot tube device comprises a main body and a sensor, wherein the sensor is positioned in the hollow inner cavity of the main body, the main body is made of a porous metal material; the porous material is provided with micropore gaps, and can partially absorb disturbance waves such as sound waves, vortex waves and entropy waves without damaging a flow field structure. When the pitot tube device is used for measuring the pressure pulsation of the hypersonic wind tunnel, the main body made of the porous metal material absorbs the flow field disturbance and weakens the reflection oscillation of the flow field disturbance between a shock surface and the front end surface of the pitot tube device, and further improves the accuracy of the hypersonic wind tunnel pressure pulsation measurement. Therefore, the technical problem that when the pitot tube in the prior art is used for measuring the pressure pulsation of the hypersonic wind tunnel, a relatively large error exists is solved.

The invention discloses a modularized risk prediction method and device for a power distribution terminal and storable medium, According to the invention, each working module in the power distributionterminal is used as a prediction object; obtaining operation and maintenance index data according to the obtained operation and maintenance index data; risk probability values of all working modulesof the power distribution terminal are obtained through an entropy weight method, then the overall reliability prediction value of the power distribution terminal is obtained through an upper limit method and a lower limit method according to the risk probability values of all the working modules, and the technical problem that an existing risk prediction method with the overall power distributionterminal as a unit is large in error is solved.

The invention discloses a packaging design method and device of a semiconductor chip. According to the specific implementation scheme, the method comprises the following steps: acquiring original packaging information, wherein the original packaging information comprises bare chip pin information and packaging pin information; deleting the number of the packaging pin in the packaging pin information, and selecting the network name of the packaging pin according to the function requirement; establishing bare chip packaging according to the bare chip pin information, and determining the number and spacing of packaging pins; on the substrate, bare chip pins corresponding to bare chip packaging are connected to pointers through bonding wires, and network names are allocated to the corresponding bonding wires; connecting a pointer to a packaging pin with the same network name according to a combined constraint rule, and generating a system-level packaging file; and extracting the packaging pin distribution diagram from the system-level packaging file, and adding the distribution diagram into the packaging pin information to obtain new packaging information. The requirements of different product performances are met, and errors of chip products obtained through packaging are effectively reduced.

The invention discloses a laser ultrasonic measurement method and system for the elastic constant of a metal additive manufacturing part, and the method comprises the steps: transmitting pulse laser to the surfaces of different elastic structures of the metal additive manufacturing part to generate ultrasonic waves, and obtaining an ultrasonic signal through detection laser to obtain two longitudinal waves and three transverse waves; calculating two corresponding longitudinal wave velocities and three transverse wave velocities, and calculating an elastic constant value of the metal additive manufacturing part based on a solid mechanics theoretical formula. Therefore, non-contact measurement and nondestructive measurement are achieved, and meanwhile, due to the fact that the ultrasonic waves act on the interiors of different microstructures to obtain different wave velocities, the measurement accuracy of the elastic constant of the metal additive manufacturing part is improved.

The invention relates to a construction method of a wheat powdery mildew illness monitoring model. The construction method comprises the steps of: obtaining winter wheat canopy original spectrum datain the main plane vertical angle and wheat powdery mildew illness index data under the stress of the powdery mildew, selecting a wavelength lambda1 and a wavelength lambda2 from wavebands with determination coefficients R<2> between a canopy spectrum index and a wheat powdery mildew illness index being not smaller than 0.5, and introducing a regulation parameter K and a reflectivity K*Rlambda3 corresponding to a wavelength lambda3 to construct a corrected specific value vegetation index as shown in the description. A wheat powdery mildew illness monitoring method adaptive to a wide angle comprises the steps of: obtaining reflectivity data when light with wavelengths of 744nm, 762nm and 710nm irradiates a winter wheat canopy under the stress of the powdery mildew within an angle range of 0-+30 degrees from the main plane to obtain a corresponding corrected specific value vegetation index as shown in the description. The construction method of a wheat powdery mildew illness monitoring model and the wheat powdery mildew illness monitoring method adaptive to a wide angle allow a wide monitoring angle when the wheat powdery mildew illness is monitored and are wide in applicability.

The invention discloses a project risk analysis system, which comprises a project management module, a risk standard library module, a project analysis module and a user interface; the project management module is used for acquiring project information uploaded by a user side and performing project type classification on the project information according to preset processing logic to generate project information data; the risk standard library module is used for receiving and storing risk standard rules corresponding to different project types; the project analysis module is used for identifying the project information data to obtain the risk standard rule of the corresponding project type, and analyzing and processing the project information data according to the obtained risk standard rule to obtain a risk analysis result; and the user interface is used for displaying the risk analysis result.

The invention provides a novel automobile and an automobile image processing system thereof. The invention relates to the technical field of image processing. The system comprises a plurality of camera modules, data synchronization equipment, data transmission equipment and a data processing platform, each camera module comprises a CMOS sensor, the length direction of each CMOS sensor is the sameas the height direction of a target vehicle, and the width direction of each CMOS sensor is the same as the movement direction of the target vehicle; the plurality of camera modules collect a plurality of initial image signals of the environment where the target vehicle is located in the driving process of the target vehicle; the data synchronization equipment synchronizes the plurality of initialimage signals to obtain synchronous image information; the data transmission equipment sends the synchronous image information to a data processing platform; and the data processing platform processes the synchronous image information based on a preset image processing algorithm to obtain a perception identification result, so that the technical problem of relatively large error of the perceptionidentification result obtained by an existing vehicle image processing system is solved.

The invention discloses a credit risk assessment method and device, electronic equipment and a storage medium. The method comprises the following steps: selecting a plurality of financial indexes for performing credit assessment on a subject to be assessed to obtain an index system; sorting the index system by adopting a random forest algorithm to obtain an index sorting result; adopting a principal component analysis strategy to convert a plurality of screening indexes ranked before a preset numerical threshold in the index ranking result into a plurality of new comprehensive indexes; and on the basis of the plurality of new comprehensive indexes, a pre-constructed logistic regression model is adopted to measure a credit risk index of the to-be-evaluated subject, and the credit risk index is used for determining whether the to-be-evaluated subject is a credit risk subject. According to the invention, the technical problem of large evaluation result error of a credit evaluation strategy adopted by a financial institution in the prior art is solved.

The invention discloses a body temperature detection method, device and equipment and a computer readable storage medium The body temperature detection method is applied to wearable body temperature detection equipment, and the body temperature detection method comprises the following steps: when a body temperature detection operation is executed, determining a first measured body temperature based on the body temperature detection operation; acquiring a second measured body temperature measured last time and a historical average body temperature; and determining a target calculated body temperature based on the first measured body temperature, the second measured body temperature and the historical average body temperature. The first measured body temperature measured at the current moment is calculated and adjusted through the second measured body temperature and the historical average body temperature; and the target calculated body temperature corresponding to the first measured body temperature is adjusted, so that the error of body temperature measurement at the current moment is eliminated as much as possible, the measured body temperature is close to the real body temperature as much as possible, and the error of the body temperature measurement result of the body temperature detection equipment is reduced as much as possible.

The application discloses a method and device for determining a signal, a storage medium, and an electronic device. Wherein, the method includes: obtaining a DC bias signal value obtained by the ADC during calibration sampling; obtaining a normal sampling value obtained by the ADC during normal sampling; subtracting the DC bias signal value from the normal sampling value, Get the AC signal value required for motor control. The present application solves the technical problem that the measured stator current has a relatively large error in the related art.

The embodiment of the invention provides a method and device for determining an oil and gas reservoir, and the method comprises the steps: obtaining the converted shear wave seismic data of a target region; determining a shear wave speed frequency dispersion attribute parameter according to the converted shear wave seismic data; and determining the oil and gas reservoir in the target region according to the shear wave speed frequency dispersion attribute parameter. Because the scheme gives consideration to the specific characteristics of the shear wave speed frequency dispersion attribute parameter, the shear wave speed frequency dispersion attribute parameter is determined according to the converted shear wave seismic data, and the oil and gas reservoir in the target region is recognizedthrough the shear wave speed frequency dispersion attribute parameter, thereby preventing a conventional converted shear wave seismic exploration method from damaging converted shear wave seismic amplitude, solving a technical problem that the determining of the oil and gas reservoir through the conventional method is bigger in error, and achieving a technical effect of accurately and efficientlyrecognizing the oil and gas reservoir in the target region.

The invention discloses a method and a device for determining a three-dimensional blood vessel model. The method comprises the following steps: acquiring a plurality of original two-dimensional blood vessel images of a target object and angle information corresponding to each original two-dimensional blood vessel image in the plurality of original two-dimensional blood vessel images; segmenting each original two-dimensional blood vessel image in the plurality of original two-dimensional blood vessel images to obtain a target blood vessel contour of the target object; determining projection position information of at least two light sources based on the angle information corresponding to each original two-dimensional blood vessel image; and controlling the at least two light sources to project linear light beams to the target blood vessel contour according to the projection position information to obtain a blood vessel three-dimensional model corresponding to the target blood vessel contour. According to the invention, a technical problem that a large error exists between a three-dimensional reconstruction image and a real image due to an error caused by an error of an image acquisition device because of direct reading of the shooting angle information of the image during three-dimensional reconstruction of the image in the prior art is solved.

The invention discloses a distributed video coding-based adaptive correlation noise model construction system and a distributed video coding-based adaptive correlation noise model construction method, which belong to the technical field of distributed video coding. The system comprises a DC coefficient tape correlation noise (DCN) mean value calculation module, an original information-assisted residual error processing module, a judgment module and a mode establishment module. A coder transmits a DC coefficient mean value of an original Wyner-Ziv frame to a decoder; and the decoder constructsmodels of a DC coefficient tape correlation noise area and an AC coefficient tape correlation noise area respectively, and dynamically regulates the models mainly by utilizing the positioning and parameter calculation of an original information assistance model provided by the coder in combination with the motion conditions of an image so as to realize adaptive model construction. By the system and the method, the main technical problems of low accuracy and low flexibility of the prior art are solved, the correlation noise model is more accurate on the basis of not increasing the coding complexity and a transmission code rate, and the rate-distortion performance of the whole system is improved; and the system and the method can be used for a distributed video communication system.

The invention discloses a method and a device for classifying users according to search log data of a server. The method comprises the following steps: acquiring a query terms used by each of N users during searching from the search log data of the server and b access webpages which are searched according to each query term and are accessed by the users; performing segmentation processing on each query term and the b access webpages which correspond to each query term respectively to obtain c keywords which correspond to each query term; calculating the weights of the c keywords according to the occurrence times of the c keywords in each query term and the b access webpages; establishing a user behavior vector for each user according to the c keywords which correspond to each query term and the weights of the c keywords; calculating the similarity among the user behavior vectors of the N users; classifying the N users according to the calculated similarity.

The present application discloses a phase detecting method and device, a computer device, and a computer readable storage medium. The method comprises the steps of: obtaining a Hall signal value inducted by a Hall sensor in a three-phase motor, and obtaining a counter electromotive force value of a set A phase relative to a set B phase in the three-phase motor when the current Hall signal value isjumped to an adjacent Hall signal value each time, wherein the counter electromotive force value is detected and obtained when the three-phase motor is in a rotation state under the drive of the external force; and according to the corresponding counter electromotive force value when the current Hall signal value is jumped to the adjacent Hall signal value each time, calculating an electrical angle value corresponding each counter electromotive force value so as to obtain a corresponding relation of A, B and C phases, the Hall signal value of each jump and each electrical angle value. The technical problem is solved that the detection result of the phase detection method large in error in the prior art.