250 results about "Conversion coefficients" patented technology

The invention belongs to the cross technical field of rehabilitation engineering and neural engineering, and relates to a multi-modal signal fused fine exercise rehabilitation evaluation, regulation and control method and system, and each evaluation comprises the following steps: collecting a pressure distribution signal, a surface electromyogram signal and an electroencephalogram signal of a hand fine exercise; performing preprocessing, feature extraction and normalization processing on the three signals to obtain a pressure feature value, a surface myoelectricity feature value and an electroencephalogram feature value; calculating a conversion coefficient of a current rehabilitation stage based on the number of days that the fine motor function of the patient is damaged, and calculating weights of a pressure characteristic value, a surface myoelectricity characteristic value and an electroencephalogram characteristic value based on the conversion coefficient; performing weighted summation on the pressure characteristic value, the surface myoelectricity characteristic value and the electroencephalogram characteristic value to obtain an evaluation score; rehabilitation training parameters are regulated based on the assessment score and the number of days of impaired patient's fine motor function. According to the method, the limitation of traditional single-mode physiological signal evaluation can be broken through, and the comprehensiveness, the accuracy and the personalized adaptation capability of rehabilitation evaluation can be improved.

The invention discloses a self-constraint magnetic anomaly physical property inversion method and system based on correlation coefficients, and relates to the field of geophysical data inversion interpretation, and the method comprises the steps: carrying out the grid processing of actual measurement data, and obtaining actual measurement two-dimensional data D; dividing the underground space into uniform grid units; correlation imaging calculation is carried out on the actually measured data, and a correlation imaging coefficient matrix C is calculated; obtaining a conversion coefficient matrix K according to the prior geological data, and calculating an inversion initial model M0 according to the conversion coefficient matrix K and the related imaging coefficient matrix C; and performing physical property inversion calculation on the inversion initial model M0 by using a conjugate gradient algorithm to obtain inversion magnetic information of the underground space. According to the method, the observation data correlation coefficient matrix is introduced as a self-constraint condition, and the fitting degree and roughness of the conjugate gradient inversion model are self-constrained through the correlation coefficient matrix, so that the multiplicity of solutions of the inversion result can be reduced, the stability of the inversion result can be enhanced, and the resolution of the inversion result can be improved.

The invention provides a building structure deformation measurement method, system and device, and relates to the technical field of building structure deformation measurement. The measuring method comprises the following steps: acquiring a laser point physical coordinate, an included angle between a laser emission direction and a world coordinate system and a building image; after the building image is preprocessed, laser point pixel coordinates are extracted; after the relative coordinates of the object surface laser points are calculated, solving a homography transformation matrix, carrying out perspective correction on the building image to obtain an orthographic projection image, and solving a conversion coefficient between pixels and an actual distance; inputting the preprocessed building image into a pre-trained semantic segmentation model to obtain a beam body segmentation mask and a beam body edge curve; and the actual span of the beam body is obtained through conversion of the conversion coefficient. According to the scheme, three-dimensional movement is achieved through the electric driving platform, the positioning position of the laser point can be adjusted according to the size and position of the building structure, buildings of different heights and angles are adapted, and the limitation that only building structures of specific types or sizes can be measured in the prior art is solved.

The invention provides a diagnosis method and system suitable for magnet current in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: setting a target voltage range, and finally outputting the mutual inductance coefficient, total number of turns and sectional area parameters of a coil; utilizing an electromagnetic induction conversion algorithm to generate an original measurement signal; an original measurement signal is input into an integrator through a shielded wire to obtain a proportional voltage which is strictly proportional to the current, and the proportional voltage is transmitted to a data acquisition interface; performing analog-to-digital conversion on the proportional voltage received by the acquisition interface to generate a discrete sequence, calculating a conversion coefficient by combining a target mutual inductance coefficient and a fixed time constant, and finally restoring a digital current signal; and inputting the digital current signal to an upper computer to realize dynamic waveform display, and outputting key boundary parameters to a plasma experiment module. The method has the advantages that the method can adapt to complex changes of magnet current, and enough measurement precision and response speed can be provided in a low-parameter experiment.

The invention discloses a monitoring method and a monitoring kit for the service life of medical consumables, and relates to the technical field of monitoring of the service life of the medical consumables. According to the method, the current environment information is obtained, the conversion coefficient is obtained according to the environment information, the preset use loss coefficient corresponding to the current operation type is obtained, and the estimated medical consumable use time of the current operation type is obtained; according to the estimated medical consumable use time, the conversion coefficient and the use loss coefficient, the estimated life loss is calculated and obtained, and under the cooperation of the conversion coefficient and the use loss coefficient, the influence of different environments and different operation types on the medical consumables is eliminated; according to the method, a numerical value with high precision can be obtained when the remaining service life of the medical consumables is calculated, so that a user can accurately obtain the remaining service life of the medical consumables after the operation is finished, the situation that the service life of the medical consumables is used up in the operation process is avoided, and waste of the medical consumables is reduced.

A decoder decodes, from a bitstream, transformed coefficients representing displacements of vertices of a three-dimensional mesh. The decoder selects, for a transformed coefficient of the transformed coefficients, a first transformed coefficient and a second transformed coefficient from the transformed coefficients and that are associated with the transformed coefficient. The first transformed coefficient is at a first level of detail (LOD) and the second transformed coefficient is at a second LOD, with the first and second LODs being lower than an LOD of the transformed coefficient. The first transformed coefficient is updated according to a first update weight based on the first LOD. The second transformed coefficient is updated according to a second update weight based on the second LOD. The decoder inverse transforms, based on the updated first transformed coefficient and the updated second transformed coefficient, the transformed coefficient to reconstruct the displacements.

This disclosure provides a video decoding apparatus and method for transform coefficient sign prediction on a video decoder side. The method may include: receiving, by a decoder, a bitstream comprising encoded data of transform coefficients of a transform block of a video frame; determining, by the decoder, multiple regions in the transform block, where the multiple regions include a sign prediction area for performing the sign prediction and at least one other region; parsing the bitstream, by the decoder, to obtain signs of transform coefficients associated with the multiple regions of the transform block according to a region-based order used to signal the signs of the transform coefficients; estimating, by the decoder, original signs for a set of candidate transform coefficients associated with the sign prediction area of the transform block; and updating the transform coefficients associated with the sign prediction area based on the estimated original signs.

The invention relates to the technical field of price monitoring, in particular to a building material multi-source price anomaly detection method, which comprises the following steps: firstly, uniformly metering and pricing calibers, learning a conversion coefficient, and constructing a replaceable relation graph; multi-source distribution is aligned through optimal transmission, residual errors and shadow prices are obtained based on structure invariants and variational inequality, and abnormal evidences are formed through hypergraph propagation and persistent coherence; generating a valence band reference in combination with a convex hull method and distribution robust optimization under the equilibrium clearing of graph regularization; a feasible set is defined by price bands and constraints, a weighted maximum satisfactory model is constructed to position a minimum default set, a minimum correction suggestion is generated by using vector optimal transmission and packet sparsity, and an executable closed loop is realized through satisfactory model theory verification.

An information processing method performed by an information processing unit includes obtaining descriptors related to a material, converting the obtained descriptors into correlativity-reduced descriptors in which correlativity therebetween is reduced by using conversion coefficients, calculating importance of the correlativity-reduced descriptors, identifying important descriptors from the descriptors on a basis of the conversion coefficients used for conversion into the correlativity-reduced descriptors having high importance, generating a learned model by machine learning using the important descriptors and a characteristic value of the material as learning data, and estimating a characteristic value of a different material different from the material by using the learned model.

The embodiment of the invention provides a decoding method, and the method comprises the steps: decoding a code stream at a decoding end, and determining a prediction mode parameter; when the prediction mode parameter indicates that the intra-frame prediction value is determined by using the MIP, decoding the code stream, and determining the MIP parameter of the current block; decoding the code stream, and determining a transformation coefficient and an LFNST index sequence number of the current block; when the LFNST index sequence number indicates that the current block uses the LFNST, determining a mapping mode of an LFNST transform set according to the MIP parameter; according to the mapping mode of the LFNST transform set, one LFNST transform kernel candidate set is selected from the multiple LFNST transform kernel candidate sets, and an LFNST transform kernel used by the current block is determined from the selected LFNST transform kernel candidate set; and performing conversion processing on the conversion coefficient by using the LFNST conversion kernel.

The invention discloses a motor temperature control method, system and device, and relates to the technical field of digital signal processing, and the method comprises the steps: receiving a cooling liquid request signal; the current temperature of the motor, the working state of the motor, the outflow temperature of cooling liquid and the target temperature of the motor are obtained, the flow of the cooling liquid is obtained based on the first calculation model, and the target valve opening degree is obtained based on the second calculation model; obtaining an initial current conversion coefficient, and obtaining first power driving operation time based on the prediction model; driving the operation time according to the first power to generate current for controlling opening of a plurality of electromagnetic valves, and acquiring actual valve opening degrees of the electromagnetic valves; obtaining an opening difference value, obtaining a correction index, correcting the initial current conversion coefficient according to the correction index, and generating a corrected current conversion coefficient; second power driving operation time is obtained based on the prediction model, and current for controlling the electromagnetic valve to be opened is generated according to the second power driving operation time. The method has the advantages of accurate control, stability, reliability and continuous correction and optimization.

The invention belongs to the technical field of aircraft structure corrosion tests, and particularly relates to a test room environment acceleration spectrum equivalent determination method based on a corrosion simulation result, which can obtain an equivalent conversion coefficient for calculating the corrosion resistance of a test piece by only carrying out fewer part corrosion tests, has higher precision, can shorten the test period and reduce the test cost, and is suitable for large-scale popularization and application. And the method has relatively high economical efficiency.

An image decoding method includes a step of deriving a modified transform coefficient, wherein the step of deriving the modified transform coefficient includes the steps of: deriving a first variable indicating whether the transform coefficient exists in an area excluding a DC location of the current block; parsing an LFNST index based on the derivation result; and deriving the modified transform coefficient based on the LFNST index and an LFNST matrix, and based on the fact that the current block is divided into a plurality of sub-partition blocks, the LFNST index can be parsed without deriving the first variable.

The invention discloses a multi-modal sample data synthesis and labeling integration method and device, equipment and a storage medium, and relates to the technical field of information extraction. The method comprises the following steps: firstly, grouping a collected sample data set, calculating a reasoning confidence average value, a standard deviation and a multi-modal large model false detection rate of each group of first sample data, and determining a target group according to the reasoning confidence average value and the standard deviation; and generating a target sample feature part in combination with the grouping condition of the target group and the grouping noise, and combining the feature part and the first actual label part into target sample data after model prediction and rechecking. Meanwhile, according to the target grouping demand number, the target sample generation number and the conversion coefficient, the supplementary collection number is determined, a supplementary collection data set is obtained, and after merging, image and context features of incremental samples are extracted and coded and fused. And finally, inputting the fusion code into the model, and optimizing the model by directly using the loss value or the corrected loss value according to whether the fusion code is a collection type, thereby effectively filling the weak region of the sample and improving the performance of the model.

The invention discloses a method and a system for measuring a time average velocity field of a combustion chamber of a scramjet engine, and belongs to the technical field of average velocity field measurement. The method comprises the following steps: establishing a measurement system, matching the number of exposure frames of a high-speed camera with the number of cavities of a laser, collecting a time sequence image for pre-processing, obtaining the pre-processed time sequence image, dividing the time sequence image into grid slices for cross-correlation calculation, and obtaining a time sequence speed according to a space and pixel conversion coefficient; constructing a velocity model according to a Gaussian mixture model algorithm, and obtaining a probability matrix of a data point belonging to a correct velocity vector according to an expectation maximization algorithm; and calculating to obtain a time average velocity field according to the correct velocity vector and the error velocity vector judgment condition. The method effectively improves the efficiency and accuracy of measuring the distribution of the time average velocity field, and can be used for measuring the time average velocity field.

According to the data-driven electricity-to-water coefficient composite model and the prediction method provided by the invention, the spatial interpolation model, the neural network model and the regionalization prediction model are operated in parallel and are subjected to comparative analysis to form the composite model, so that the composite model can adapt to different characteristics of data, the prediction precision and generalization ability are remarkably improved, and the prediction efficiency is improved. The method is suitable for estimating the water conversion coefficient by electricity in different scenes. Wherein the EPC-STIN model (neural network class) and the regional prediction model are innovative architectures of converting electricity into water prediction models. Besides, a plurality of evaluation indexes are adopted, and the prediction result of the composite model is comprehensively evaluated through a comprehensive evaluation system, so that the prediction model with the optimal accuracy is output for different data sets, and it is ensured that a comprehensive score can reflect the balanced performance of the model in multiple aspects such as error accuracy and prediction interval reliability. And the scientificity of model selection is improved. Therefore, compared with the prior art, a more comprehensive evaluation basis is provided for electricity-to-water coefficient prediction, a user is helped to scientifically quantify the uncertainty of a prediction result, and the credibility of decision making is improved.

The present invention relates to an automatic optimization search calculation method for a converted heat supply load based on a load conversion coefficient method. The automatic optimization search calculation method comprises: acquiring data on the basis of a unit design heat supply working condition diagram, and fitting a relationship formula; on the basis of the relationship formula, calculating the difference in the power-generation power of a heat supply extraction steam flow rate at a specific main steam flow rate; on the basis of the difference, calculating a converted heat supply extraction steam load; designing an automatic optimization search loop for the converted heat supply load, determining target loads on the basis of requirements, and setting an optimal comprehensive valve position under different target loads; and using a PID controller to adjust an actual valve position, so as to obtain a correction coefficient of the converted heat supply load for when the actual valve position is the same as the optimal comprehensive valve position, so as to obtain an optimal converted heat supply load. The present invention solves the problems of the calculation of a converted heat supply load under a heat supply working condition of a heat supply unit being inaccurate and it not being possible to adapt to a full-load working condition, further solves the problem of coordinated control of the heat supply working condition being poor, and improves the safe and stable operation of the heat supply unit.

A method of decoding video data comprises updating a coefficient statistic value based on one or more transform coefficients of a transform block (TB), wherein updating the coefficient statistic value comprises, for each respective transform coefficient of the one or more transform coefficients of the TB: performing a derivation process to determine a temporary value, wherein the derivation process is determined based at least in part on which encoding procedure of a plurality of encoding procedures is used to encode the respective transform coefficient, the plurality of encoding procedures including a context-based procedure for encoding the respective transform coefficient and encoding the respective transform coefficient as an absolute value; and setting the coefficient statistic value as an average of the coefficient statistic value and the temporary value; determining a history value based on the coefficient statistic value; determining a Rice parameter for a specific transform coefficient of the TB.

The invention provides a wafer film thickness calibration library construction method, a measurement method and polishing equipment, and the construction method comprises the steps: obtaining a film thickness reflectivity library suitable for a single-layer film environment, and enabling the reflectivity value to periodically change along with the change of the thickness value; acquiring an electric signal # imgabs0 # and an electric signal # imgabs1 # corresponding to the light intensity of reflected light of the single-wavelength light beam by two wafer films with known different thicknesses; acquiring an electric signal # imgabs2 # and an electric signal # imgabs3 # corresponding to the light intensity of the reflected light of the single-wavelength light beam by the two wafer films in the multi-layer film environment; determining a conversion coefficient according to the electric signal # imgabs4 #, the electric signal # imgabs5 #, the electric signal # imgabs6 # and the electric signal # imgabs7 #; and converting the film thickness reflectivity library into a database suitable for a multilayer film environment by using the conversion coefficient.

The present application discloses a joint calibration method, a joint calibration control device, an electronic device and a medium. The joint calibration method includes: controlling a turntable to drive smart glasses and a multi-degree-of-freedom device to synchronously perform posture transformation motions in each degree of freedom, and collecting the first inertial measurement unit data of the smart glasses and the second inertial measurement unit data of the multi-degree-of-freedom device through a data acquisition component when performing posture transformation motions in each degree of freedom; obtaining the first coordinate system conversion coefficient between the world coordinate system where the smart glasses are located and the local coordinate system where the multi-degree-of-freedom device is located in each degree of freedom according to the first inertial measurement unit data and the second inertial measurement unit data; fusing and calibrating multiple first coordinate system conversion coefficients corresponding to all degrees of freedom through a fusion algorithm model to obtain joint calibration data. According to the joint calibration method, the smart glasses and the multi-degree-of-freedom device can be jointly calibrated in coordinate system.

The invention relates to the technical field of information mining analysis, in particular to an information mining analysis method in an industrial scene, which comprises the following steps of: acquiring each data source, determining a data state according to a data source correlation degree and a mining difficulty coefficient, and determining a strategy analysis mode according to the data state; when the sub-data is extracted and analyzed, a processing mode is determined according to a dangerous sub-data distribution coefficient and a dangerous turbulence value to obtain a sub-data set, and the processing mode is a first extraction mode determined according to a dangerous end radiation coefficient and an in-end sub-data correlation coefficient, or a second extraction mode determined according to a dangerous gathering area category; when the associated source group is selected and analyzed, a clustering mode is determined according to the feature conversion coefficient and the number of the data sources, the data sources in the associated source group are selected according to the data flow anomaly index, and sub-data corresponding to the selected data sources serve as a sub-data set; the data mining efficiency in the industrial production process can be improved.

The present invention relates to the technical field of intelligence mining and analysis, and in particular to an intelligence mining and analysis method in an industrial scenario, comprising: obtaining various data sources, determining data states according to data source correlation and mining difficulty coefficients, and determining a strategy analysis method according to the data states; when performing extraction and analysis on sub-data, determining a processing method according to a dangerous sub-data distribution coefficient and a dangerous turbulence value to obtain a sub-data set, the processing method being to determine a first extraction method according to a dangerous end radiation coefficient and an end-internal sub-data correlation coefficient, or to determine a second extraction method according to a dangerous clustering area category; when performing selection and analysis on an associated source group, determining a clustering method according to a feature conversion coefficient and the number of data sources, and selecting a data source in the associated source group according to a data flow anomaly index, and using the sub-data corresponding to each selected data source as a sub-data set; the present invention can improve data mining efficiency in industrial production processes.

Some embodiments of a method may include: obtaining a point cloud, the point cloud including: a first set of information describing a geometry of the point cloud, and a second set of information describing attributes of the point cloud; performing a geometry encoding process, wherein the geometry encoding process generates a geometry bitstream, and wherein the geometry bitstream includes a pruned octree associated with a first portion of the geometry of the point cloud and a surface model associated with a second portion of the geometry of the point cloud; performing an attribute coding process, wherein the attribute coding process generates a first part of an attribute bitstream, and wherein the first part of attribute bitstream includes transformation coefficients; performing a texture atlas process, the texture atlas process generating a second part of an attribute bitstream, and outputting an output bitstream including the geometry bitstream and the attribute bitstream.

The invention relates to the technical field of oil and gas field development, in particular to a method for judging reasonability of a nuclear magnetic resonance power function relational expression. The invention discloses a rationality judgment method for a nuclear magnetic resonance power function relational expression. The method comprises the following steps: respectively constructing a value interval of a power exponent n and a value interval of a conversion coefficient C; and if the power exponent n value and the conversion coefficient C value obtained by other methods fall into the value interval correspondingly, indicating that the power exponent n value and the conversion coefficient C value obtained by other methods are reasonable, otherwise, indicating that the power exponent n value and the conversion coefficient C value are not reasonable. The method disclosed by the invention has a relatively high application value.

There is disclosed an encoder, a decoder, related methods, and non-transitory storage units storing instructions which, when executed by a computer, cause the computer to perform the methods.At an encoder (300), after a spatial transformation stage (304), there is obtained a spatially transformed version (306) of input image information (302) having multiple bands and, for each band, multiple transform band coefficients. After the generation of precincts (311), each comprising transform coefficients covering a predetermined spatial area of the input image information (302), there is provided a component transformation stage (320, 325), to apply one component transformation (CTr) selected (327) out of a plurality of predetermined component transformations, to each band (102′) of each precinct (311). Hence, there is obtained a spatially transformed and color transformed version (323) of the input image information (302), which is subsequently quantized and entropy encoded.

The invention belongs to the technical field of reservoir pore structure characterization, and relates to a nuclear magnetic resonance T2 spectrum pore diameter conversion method based on a least square method and mercury injection data. The method comprises the following steps: interpolating and fitting cumulative distribution frequency of nuclear magnetic resonance about relaxation time to obtain a relationship between the cumulative distribution frequency of the relaxation time and the radius of a mercury injection pore; interpolation and fitting are carried out on the cumulative distribution frequency of the high-pressure mercury injection relative to the pore radius, and the relation between the cumulative distribution frequency of the pore radius and the mercury injection pore radius is obtained; establishing an error function based on the relationship between the cumulative distribution frequency of the relaxation time and the mercury injection pore radius and the relationship between the cumulative distribution frequency of the pore radius and the mercury injection pore radius; establishing a conversion function for converting the cumulative distribution curve of the nuclear magnetic resonance T2 relaxation time into a cumulative distribution curve of a high-pressure mercury injection pore throat radius; and substituting the error function into a conversion function to solve a conversion coefficient in the conversion function, and completing nuclear magnetic resonance T2 spectrum aperture conversion.

The invention is suitable for the field of carbon emission measurement and calculation, and discloses an industrial park enterprise monthly carbon emission non-equipment transformation measurement and calculation method, system, equipment and medium based on a block chain and a CMAR algorithm, and the method comprises the steps: obtaining enterprise historical energy ledger data, and generating an electricity-carbon conversion coefficient sequence; processing the electricity-carbon conversion coefficient sequence through a centralized moving average regression model, and determining a monthly electricity-carbon conversion coefficient; constructing a three-source data channel, and calculating the monthly total carbon emission of the enterprise in combination with a monthly electricity-carbon conversion coefficient; and calculating a current-month actual electricity-carbon conversion coefficient based on the monthly total carbon emission of the enterprise, monitoring the current-month electricity consumption state of the enterprise, triggering a corresponding correction mechanism in a Bayesian online correction and abnormity self-repairing strategy according to a monitoring result, and writing enterprise carbon emission measurement and calculation data and a correction log into a block chain for evidence storage. According to the method, the calculation-storage-certificate integration of the region blocks is used, so that the high efficiency and low error of enterprise carbon emission measurement and calculation are realized.

The invention provides a transformer substation wiring diagram automatic identification method and system, and the method comprises the steps: obtaining the canvas size and primitive coordinate information of a transformer substation wiring diagram in a transformer substation wiring diagram G file, obtaining the canvas size of a transformer substation wiring diagram screenshot, and calculating the size conversion coefficient of the transformer substation wiring diagram and the screenshot based on the canvas size of the transformer substation wiring diagram and the screenshot in the G file; calculating the coordinate information of each primitive in the screenshot based on the conversion coefficient and the primitive coordinate information of the G file transformer substation wiring diagram, marking each primitive in the screenshot, and identifying the information content of each primitive of the transformer substation wiring diagram in the screenshot; and carrying out variable quantity calculation on the current marked screenshot and the marked screenshot at the previous moment to obtain a change value of the primitive in the operation process of the transformer substation. The method supports display of images with various resolutions and various window images, meets the requirements of a mainstream dispatching automation master station system, and is wide in adaptability. In the whole recognition process, only the conversion rate is calculated for the first time, massive calculation is not needed, and the real-time monitoring requirement is met.

The invention belongs to the technical field of nuclear material measurement and analysis, and particularly relates to a neutron detection method for measuring the mass of a nuclear material and a radiation dose field of the nuclear material. According to the embodiment of the invention, the method comprises the steps: carrying out the energy response calculation and calibration of a detector through a parallel beam standard neutron source, and obtaining a calibration factor; performing energy response calculation and calibration on the detector by taking a to-be-measured object as a target object, determining the energy response and fluence-ambient dose equivalent conversion coefficient of the detector in a radiation field of the to-be-measured object, and realizing simultaneous measurement of a neutron counting rate, a fluence rate and an ambient dose equivalent rate; and the requirements of carrying out radiation dose field monitoring while carrying out quantitative analysis on the to-be-detected object in a special scene are met. The technical scheme of the invention can be popularized and applied to fixed-point monitoring of a to-be-detected system with known or measurable nuclear material source item composition and isotope abundance in nuclear facilities, or retention volume analysis and radiation dose measurement before transfer or treatment of some equipment for treating nuclear materials.