135results about How to "Troubleshoot inaccurate technical issues" patented technology

The invention discloses a Gamma curve correction method of a display device and the display device. The method comprises steps as follows: a standard Gamma curve is determined according to the display device; multiple test gray values are selected from the standard Gamma curve, and multiple types of target luminance corresponding to the multiple test gray values are obtained; an input gray value of the display device is adjusted to enable the display luminance of the display device to be equal to multiple types of target luminance, and multiple test corrected gray values are obtained; the test corrected gray values are corresponding input gray values when the display luminance of the display device is equal to the target luminance; a correlation between the input gray values and the corrected gray values of the display device is generated according to the multiple test gray values and the multiple test corrected gray values; the input gray values of the display device are adjusted to the corrected gray values. The inaccurate preset Gamma curve of the display device is corrected, and the quality of an output image of the display device is effectively improved.

The embodiment of the invention provides a recommendation information acquisition method, device, system, server and storage medium. A business server generates a search request and sends the same toa search server for a search image associated with the provided business information; the search server extracts global image characteristic and multiple region object characteristics of the search image so as to form the search image characteristic, the similarity search is performed on a candidate image so as to obtain a corresponding candidate recommendation set and feed back to the business server to store. Visibly, since the image characteristic is not affected by an artificial factor, the technical problem that a search result is inaccurate since the similarity search is performed basedon an image label is solved; and the evidence for performing the similarity further comprises the region object characteristics of the search image, and the accuracy of the searched recommendation information is improved.

The invention provides a method and device for measuring and calculating the underground organic matter porosity degree. The method includes the steps that multiple well points are selected in a research region, and a relation curve between the organic carbon recovery coefficient and the organic matter thermal evolution degree of the research region is obtained; the organic matter thermal evolution degrees of all the selected well points are obtained, and the following operations are conducted on all the well points: the original organic carbon weight percentage content of all the well points is calculated, the maximum organic matter porosity degree of the well points is calculated, the observation organic matter porosity degree of the well points is worked out, weighted averaging is conducted on the maximum organic matter porosity degree and the observation organic matter porosity degree of the well points, and the average organic matter porosity degree of the well points is worked out. By means of the method and device for measuring and calculating the underground organic matter porosity degree, the technical problem that in the prior art, measurement and calculation of the organic matter porosity degree are inaccurate in measuring and calculating result is solved, and the accuracy of the measuring and calculating result is improved.

The invention provides a method and device of determining low frequency wave impedance, wherein the method comprises: obtaining a logging low frequency wave impedance model and an earthquake data low frequency wave impedance model; comparing and analyzing two models according to frequency ranges to obtain a compensation coefficient and perform compensation; and fusing models of different frequency ranges to obtain a fused low frequency wave impedance model. According to the embodiment of the invention, a finally obtained low frequency wave impedance model with logging and earthquake information fully combines well boring, geology and earthquake information, and accordingly has a higher transverse resolution. The method solves the technical problem of inaccuracy of a low frequency wave impedance model built by the prior art, effectively improves the accuracy of the low frequency wave impedance model, and further improves the lithology prediction accuracy of the wave impedance inversion technology.

The embodiment of the invention provides a determination method and device of the horizontal well productivity under volume fracturing. The determination method comprises the steps that the geologicalcharacteristic parameters of a target area in which a horizontal well is located under volume fracturing are obtained; the target area is divided into a first seepage area, a second seepage area anda third seepage area; a production cycle is divided into a first production stage, a second production stage and a third production stage; the horizontal well productivity of different production stages is determined separately according to the geological characteristic parameters and the seepage characteristics of different seepage areas at different production stages, and according to the scheme, the influence of complex fracture network structures and reservoir pores on seepage under volume fracturing is taken into account, and the target area is divided into the multiple seepage areas according to the specific structural characteristics; and then according to the seepage characteristics of different seepage areas at different production stages, the horizontal well productivity of different production stages is determined separately, so that the technical problem of determining the horizontal well productivity by existing methods is inaccurate is solved.

The invention discloses a method and a device for processing GPS positioning data. The method comprises steps: multiple position points of a target object acquired by a GPS terminal are acquired; the multiple position points are selected according to a preset selection rule, and the position points obtained through selection serve as effective position points to be added to a trusted list; the average speed of each effective position point in the trusted list is calculated; whether the average speed is a first preset speed is judged; if the average speed is the first preset speed, the average value of position parameters of all effective position points is acquired, and according to the average value of position parameters, a trusted position point is determined; if the average speed is not the first preset speed, the differences between the speeds of all effective position points and the average speed are acquired, and the effective position point corresponding to the speed with the minimal difference with the average speed serves as the trusted position point; and the trusted position point is reported. The technical problem of an inaccurate positioning result by a vehicle-mounted or handheld GPS terminal can be solved.

The invention discloses a cinema seat online selecting method and device. The method comprises the following steps: acquiring the viewing information of a viewing object and the seating information of a screening hall, wherein the screening hall comprises a first area and a second area, wherein the first area is the area between the row of the absolute center of the screening hall and the projection screen, and the second area is the area outside the first area of the screening hall; determining the center seats of the screening hall according to the seat information, wherein the center seats are in the second area and are aligned with the center of the projection screen; determining whether the center seats are selected or not; if the center seats are not selected, selecting one or more seats at least including the center seats according to the viewing information; and if the center seats are selected, selecting one or more seats around the center seats according to the viewing information. The technical problem that the system cannot accurately automatically select seats is solved.

The invention discloses a page lazy loading method and device, a storage medium and a processor. The method comprises: determining that a page is updated, searching a to-be-rendered page component required for updating the page from the at least one page component, and loading the to-be-rendered page component to the page for rendering to obtain an updated page. The technical problem that in the prior art, in the process of rendering a page through lazy loading, displayed content is inaccurate due to anchor point positioning is solved.

The invention discloses a cloths customized method, an image shooting device and a control system, and can be applied to clothes including coats, shirts and female underwear. The clothes customized method at the image shooting device side comprises that the image shooting device collects whole-body images in different angles; M body characteristic sizes are identified from the collected whole-body images, and M corresponding body portion sizes are obtained on the basis of the M body characteristic sizes and the present body characteristic proportion; and the M body portion sizes are led out to a customized production device, and according to the M body portion sizes, the customized production device generates a customized production control parameter which matches all the M body portion sizes. According to the invention, the technical problem that characteristic size data measured by a present measuring manner is inaccurate is solved effectively, and the obtained body portion sizes are more accurate.

The embodiment of the invention provides a problem classification method and system based on a multi-attention mechanism and a storage medium, and belongs to the technical field of problem classification. The problem classification method comprises the steps of obtaining a to-be-classified text; converting the text into a corresponding word vector sequence by adopting a word2vec model; forming a word vector matrix based on a questionnaire attention mechanism according to the word vector sequence; performing part-of-speech tagging and encoding on the text by adopting a preset tagging set to form a part-of-speech vector sequence; respectively calculating the coefficient of each vector in the word vector sequence by adopting a formula (1); standardizing each coefficient by adopting a formula(2); determining a word vector matrix of a part-of-speech attention mechanism by adopting a formula (3); performing convolution operation on the two word vector matrixes to form a combined matrix; andinputting the combined matrix into LSTM to obtain a feature matrix with time sequence features, then obtaining feature vectors by using a self-attention mechanism, and determining the category of thetext according to the feature vectors.

The present invention discloses a method and system for testing an AUTOSAR software component. The method comprises: creating an input and output analog module in test software; providing, by the input and output analog module, an input signal to the AUTOSAR software component to be tested in a real-time operation environment; receiving, by the input output analog module, a feedback signal generated by the AUTOSAR software component to be tested according to the input signal; and acquiring a test result of the AUTOSAR software component to be tested, by detecting whether the feedback signal meets a preset condition. The test method and the test system provided by the present invention solve the technical problem that in the prior art, inaccurate test results are caused because different test software needs to be set up in a testing scheme for the AUTOSAR software component in different test stages.

The invention is applicable to the field of data processing and provides a sitting posture correcting method and system. The method comprises steps as follows: acquiring head posture information and upper body posture information of a user; comparing the head posture information with a preset head posture threshold and comparing the upper body posture information with a preset upper body posture threshold; judging whether the sitting posture of the user is incorrect or not according to a comparison result, and if the sitting posture of the user is incorrect, correcting the sitting posture of the user. The sitting posture correcting method and system can acquire the posture information of the user accurately so as to correct the sitting posture of the user according to the posture information.

The invention discloses a conveying chain rotating platform rotation control method and a rotation control device, which are applied in the field of steel coil conveying control. The conveying chain rotating platform rotation control method comprises the steps of receiving a rotation angle value fed back by a rotary encoder arranged on a rotary motor; after operating the rotary motor at a first rotary speed, judging the received rotation angle value to be within a preset switchover range; controlling the rotary motor to operate at a second rotary speed switched from the first rotary speed, wherein the second rotary speed is less than the first rotary speed; and after operating the rotary motor at the second rotary speed, controlling the rotary motor to stop operating switched from the second rotary speed if monitoring a starting signal of a target limit switch arranged on a rotating platform or judging the received rotary angle value is equal to a target angle value. The conveying chain rotating platform rotation control method and the rotation control device provided by the invention solve the technical problem that the rotating platform cannot rotate to a target stop position accurately, so that the rotating platform can quickly and accurately rotate to the target stop position.

The invention discloses a search result processing method and a search result processing device. The method includes acquiring multiple search results which are acquired through search-strategy based searching of a searching system; subjecting each search result to clustering verification to acquire a clustering verification result of each search result; comparing the clustering verification results of the search results, and if differences among the clustering verification results are smaller than a preset threshold, clustering at least any two search results, of which the differences among the clustering verification results are smaller than the preset threshold, to acquire a clustering result set corresponding to a search strategy; outputting at least one search result in the clustering result set to a front end to display. By the search result processing method and the search result processing device, the technical problem of research result inaccuracy caused by high repetitive rate of search results acquired by searching methods in the prior art is solved.

The invention relates to the field of artificial intelligence, and discloses a user physical ability score prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a user sample set containing basic information of a plurality of users, a plurality of physical ability item sample indexes corresponding to each user in a historical evaluation period and physical ability item sample scores corresponding to each physical ability item sample index; generating a user physical performance prediction model by using the user sample set; and inputting the basic information of a target user, the plurality of physical ability item indexes corresponding to the target user in the current evaluation period and the physical ability item score corresponding to each physical ability item index into the user physical ability score prediction model for feature learning to obtain the physical ability score of the target user in the future evaluation period. The technical problem of inaccurate body measurement result caused by incapability of flexibly selecting the user body measurement scheme according to the basic information of the user in the prior art is solved.

The invention provides a thin layer sedimentary microfacies inversion method and apparatus. The method comprises the following steps: selecting multiple wells in a work area, and determining the stratum thickness, the response frequency, the response amplitude and the sedimentary microfacies type of the target stratum of each well among the multiple wells; establishing relations between sedimentary microfacies and the stratum thicknesses, relations between the stratum thicknesses and the response frequencies, relations between the stratum thicknesses and the response amplitude, relations between the sedimentary microfacies and the response frequencies and relations between the sedimentary microfacies and the response amplitude, and according to the determined relations, selecting three fusion frequencies and their respective sedimentary microfacies; and according to the sedimentary microfacies and fusion amplitude scopes which are respectively corresponding to the three fusion frequencies, performing RGB fusion on the three fusion frequencies to obtain a thin layer sedimentary microfacies inversion result. The thin layer sedimentary microfacies inversion method and apparatus provided by the invention solves the technical problem of inaccurate sedimentary microfacies obtained through prediction due to incapability of effectively determining three frequencies of fusion attributes in an RGB fusion technology in the prior art.

The invention discloses a calibration device and method based on trinocular visions system of statistics characteristics. The calibration device of the trinocular vision system based on the statisticscharacteristics is composed of a visible light camera calibration surface and an infrared camera calibration surface; the calibration method of the trinocular vision system based on the statistics characteristics comprises the following steps: simultaneously shooting multiple groups of image sequences by the trinocular vision system with uninocular infrared and binocular visible light from multiple angles; firstly calibrating a binocular visible light camera; and then extracting a quasi-circle communication region in an infrared image by using gray statistics characteristics; and fitting a center point of the quasi-circle communication region according to the statistics characteristics; and replacing a right-eye image chessboard angular point by using the infrared center point, and performing secondary binocular calibration with the left-eye visible light image; and finally accomplishing the collaborative calibration of the trinocular vision system by using the geometric relation. Theprecise calibration of the trinocular vision system is realized, the operation is convenient, and the practical value is high.

The invention provides a method and device for positioning a crash event, a storage medium and an electronic device, and the method comprises the steps: monitoring whether terminal software has a crash event or not; when it is monitored that the terminal software crashes, crashing parameters of the crashing events are obtained, and the crashing parameters comprise event logs, equipment informationand user operation information; and positioning a defect code for triggering the crash event according to the crash parameter. Through the method and the device, the technical problem of inaccurate defect codes of crash events caused by positioning in the prior art is solved.

The invention discloses a video recommendation method and system, a computer program product and a readable storage medium. The method comprises the following steps: acquiring a historical record of watching a video by a user, generating a first video type list according to the historical record of watching the video by the user, and providing the first video type list to the user; and obtaining avideo type selected by the user from the first video type list, and generating a second video type list according to the video type selected by the user; and generating a recommended video accordingto the second video type list and the historical record of watching the video by the user. Therefore, the types of the recommended videos are screened by utilizing subjective selection of the user, and the accuracy of generating the recommended videos is improved. The technical problem of inaccurate video recommendation in the prior art is solved.

The invention discloses a transaction information processing method and system based on a block chain, and a storage medium. The method comprises the following steps: obtaining first transaction information stored on a second block chain node, and obtaining virtual resource transfer information, wherein the virtual resource transfer information is used for representing the number of target virtualresources, transferred to a second transaction account of the second party, in the first virtual resources; and checking the number of the target virtual resources represented by the virtual resourcetransfer information based on the first transaction information stored on the second block chain node, so as to determine whether the number of the target virtual resources is correct or not. According to the invention, the technical problem of inaccurate data in the account checking process in the prior art is solved.

The invention provides a data recommendation method which is characterized by comprising the following steps: acquiring an identity label of a user; obtaining a user superior record; inputting the user superior record into a pre-trained potential demand generation model, and outputting a potential demand prediction result of a behavior subject, wherein the step of generating the model according tothe potential demand comprises at least one of the following steps: receiving a fixed-area analysis instruction, dividing a label into fixed-area areas, taking a limited label value range as a judgment basis for the fixed-area areas, determining a behavior subject when a user superior record belongs to one of the areas in label division, and matching subordinate records of the same behavior subject in a sample library; and receiving a relative analysis instruction, dividing the labels into relative regions, taking the interval label value range as a judgment standard by the relative regions,determining the behavior subjects when the user superior records meet the relative regions, and matching subordinate records of the same behavior subjects in a sample library.

The invention discloses a prediction data output method and device, a storage medium and electronic equipment, and belongs to the field of artificial intelligence. The method innovatively introduces a coding and decoding structure. The method comprises the following steps: obtaining delivery combination data of a target virtual resource in a plurality of delivery channels, the delivery combination data comprising historical delivery data and return data of the historical delivery data; constructing supervision data based on the putting combination time sequence data; and performing dimension deformation on the supervision data, inputting a sequence into a sequence seq2seq model for training, and predicting and outputting prediction data of the target virtual resource in the future time by adopting the seq2seq model. The technical problem that multi-channel return data cannot be accurately predicted in the prior art is solved, the cross-platform data barrier is solved, and the adaptability and the universality of the prediction model are improved.

The invention discloses a student differentiation method and device. The method comprises the following steps of: obtaining internet data and position information of a plurality of students; obtainingdaily behavior data of the plurality of students according to analysis results for the position information and the internet data; calculating the daily behavior data and performance information of the plurality of students through a clustering algorithm so as to obtain a plurality of clusters; and calculating an average value of the daily behavior data and performance information of each cluster, and differentiating whether each cluster is in a first echelon of student clusters or a latter echelon of student clusters according to the calculation results. According to the method and device, the technical problem that the result of differentiating the first echelon of students and the latter echelon of students by using single performance data is not correct in the prior art is solved.

The invention discloses a liquid level data detection device and method. The device comprises an ultrasonic sensor, a controller and an ultrasonic wave-focusing cover; the ultrasonic wave-focusing cover comprises a curved surface; the controller is connected with the ultrasonic sensor; a concave surface of the curved surface is opposite to the ultrasonic sensor, and the concave surface of the curved surface can emit the ultrasonic wave emitted by the ultrasonic sensor in parallel along a first reflecting beam direction, and the ultrasonic wave entering the concave surface along the first reflecting beam direction can be focused to the ultrasonic sensor. The technical problem that the liquid level data detected in the prior art is inaccurate since the ultrasonic second reflecting wave energy value in the prior art is small is solved, and a technical effect of improving the accuracy of acquiring the accurate liquid level data at the to-be-detected water area is reached.

The invention discloses a forest stand spatial pattern weighting method based on a triangulation network model, and the method comprises the steps: building a Delaunay triangulation network model through employing forest tree plane discrete points, and optimizing the triangulation network model; determining a forest space structure unit by utilizing the optimized triangulation network model; performing distance weighting on the forest space structure unit, converting the forest size attribute into a space attribute, and forming a weighted forest stand space distribution pattern; and quantifying and judging the weighted forest stand spatial distribution pattern. According to the forest stand spatial pattern weighting method based on the triangulation network model, the forest size attributevalues serve as the weights, the forest coordinates are converted in a distance weighting mode, and the generated weighting logic coordinates can visually reflect the strength of the mutual relationbetween the forests. The influence of the forest size difference on forest stand space structure evaluation is fully considered, and the technical problem that the forest stand space structure unit generated without considering the forest size difference in the prior art is inaccurate is solved.