2481 results about "Lookup table" patented technology

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention discloses an error compensation inductance sensor calibration method and system, and the method comprises the steps: controlling a macro-micro composite driving platform to drive a moving part provided with a to-be-calibrated inductance sensor, and enabling the moving part to carry out the continuous displacement movement relative to a fixed standard target surface; measuring the actual displacement of the moving part to obtain a standard displacement sequence; the actual output voltage of the inductive sensor to be calibrated in the movement process is synchronously collected, and an actual measurement value sequence is formed; solving measurement deviation, generating a measurement deviation sequence, and dividing the sequence into not less than three compensation intervals according to a displacement range; a compensation value lookup table is established in each compensation interval, and calibration parameters used for correcting zero offset, gain drift and nonlinear characteristics are generated. Displacement measurement and sensor output synchronous acquisition are combined, zero offset, gain drift and non-linear errors can be corrected in a targeted mode, and compensation fineness and adaptability are improved.

The invention relates to the technical field of intelligent control, in particular to a numerical control lathe cutting precision optimization method and system for metal part machining, and the method comprises the steps: constructing a multi-mode key feature set with aligned timestamps; the initial compensation amount in the cutting feeding direction is obtained from the tool compensation lookup table; searching a corresponding historical cutting state from the processing state matrix, and inputting the key temperature distribution gradient of the cutter side, the key vibration absolute peak value of the lathe spindle and the corresponding historical cutting state into a weight coefficient model to obtain a temperature compensation weight and a vibration compensation weight of the current cutting state; calculating a dynamic correction factor, and correcting the initial compensation amount in the cutting feeding direction through the dynamic correction factor to obtain a cutting feeding direction compensation amount with a timestamp; the compensation rate of the cutting feeding direction compensation amount and the target feeding displacement under the same timestamp is calculated; and the cutting precision is optimized according to the comparison result of the compensation rate and the cutting key feeding relative deviation rate. And the requirements of high precision, low cost and fast response are met.

A system for generating a projection structure using a graphical user interface, wherein the system comprises: a display device configured to display a graphical user interface (GUI); a computing device comprising a memory; and a processor, wherein the memory contains instructions configuring the processor to: receive a plurality of datasets, wherein each dataset comprises a plurality of parameters; generate a first projection structure as a function of the datasets; display the first projection structure through the GUI; receive natural language query data corresponding to the first projection structure using a chatbot interface; generate response data as a function of the query data; map, as a function of a look-up table, each categorization to a database entry index; obtain response data from the database; adjust the parameters as a function of the response data; generate a second projection structure; and display it in the GUI.

The invention discloses a diversified recommendation method based on a graph neural network and reinforcement learning. The method comprises the following steps of: preprocessing collected data containing users and things to form a data set, and dividing the data set into a training set, a test set and a verification set: mapping the users and things in the data of the training set to a dense vector space through a lookup table of an embedded layer, and selecting the data of the users and things through a facility site selection method; iteratively screening an object with the highest dependency from the vector representation embedded by the embedding layer, and constructing a diversified neighborhood subset of each user; on the basis of the constructed neighborhood subset, performing secondary neighbor selection by using an A3C algorithm, dynamically adjusting a recommendation strategy through continuous interaction between the user and the environment, capturing and adapting to the change of user interest, and performing secondary neighbor selection; inputting a selection result of the secondary neighbor selection module into a graph neural network model for processing, and training the model; and verifying the trained model by using the verification set, and performing model performance evaluation through the test set. The diversity and adaptability of recommendation can be improved.

The invention discloses a data output method and device based on fixed-point number extraction and a storage medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the calculation and normalization processing of a non-zero positive number of an input value through a precision formula, and generating a valid number corresponding to the non-zero positive number; querying in a compression lookup table according to a compression index corresponding to the effective number to obtain a reciprocal square root approximate value corresponding to the effective number; performing iterative optimization, index parity adjustment, remainder feedback correction and boundary specialization processing on the basis of a reciprocal square root approximate value corresponding to the effective number to generate an effective result; and carrying out reverse normalization processing on the effective result, generating a fixed point number corresponding to the effective result, and outputting the fixed point number. According to the invention, through conversion between the fixed-point number form and the effective number form, the technical problem of distributed environment amplification errors in a fixed-point number extraction algorithm in related technologies is solved, and the performance and accuracy of fixed-point number extraction are improved.

The invention provides a cross-platform content compatibility method and system based on a virtual shooting LED display screen. The method comprises the following steps: processing an irrelevant data content stream of a content stream of a heterogeneous content source to generate an intermediate data stream; constructing a virtual logic display space according to the resolution parameter of the intermediate data stream and the curvature data of the physical screen database; performing dynamic resource allocation based on the control point grid of the virtual logic display space, and generating a rendering task queue; loading a three-dimensional lookup table to perform forward color gamut conversion according to the rendering task queue and a physical screen color configuration file, and adjusting HSL offset according to collected real-time chroma data to generate frame cache data; and determining a delay compensation value based on the frame buffer data and the PTP clock signal, and inserting a corresponding time offset in an output queue through the delay compensation value to generate a multi-screen output signal. According to the scheme, the rendering accuracy, the color consistency and the display stability in the virtual shooting scene can be remarkably improved.

The invention relates to the technical field of caching, in particular to a data processing method and device, equipment and a medium, and the method comprises the steps: obtaining a first virtual index and a first physical identifier of a data access request; according to the first virtual index and the first physical identifier, determining whether the request data is hit in the first-level cache; determining whether the same identifier exists in a lookup table according to the first physical identifier, wherein each register in the lookup table stores a uniquely corresponding physical identifier, a virtual index, a cache way number and a significant bit; if the request data are not hit and exist, accessing the corresponding request data from the first-level cache according to the second virtual index and the cache path number in the lookup table; if the first virtual index is not hit and does not exist, sequentially adjusting alias bits of the first virtual index; and accessing the data based on the physical identifier corresponding to each cache path number corresponding to the third virtual index obtained by adjustment in the first-level cache and the first physical identifier. The data access efficiency can be improved.

The invention discloses a multi-objective optimization method and system for dual active bridge circuit expansion phase shift modulation, and the method comprises the steps: calculating a voltage matching ratio, and determining an external phase shift angle ratio based on a difference value between an output voltage and an output voltage reference value; according to the voltage matching ratio and the external phase shift angle ratio, obtaining an internal phase shift angle ratio of the primary side full bridge through an offline lookup table; calculating the maximum transmission power of the dual-active bridge converter, and determining a current working mode from the six preset working modes based on the size relationship between the inner phase shift angle ratio and the outer phase shift angle ratio; generating an optimal modulation strategy through a multi-objective optimization algorithm by taking the current effective value and the current peak value as optimization objectives and combining the voltage matching ratio and the periodic parameters of the current working mode; and generating a trigger signal of each switch tube of the dual-active bridge converter. Through six-mode working area division, complete differential algorithm boundary constraint and off-line-on-line collaborative optimization, the contradiction between the current stress and the soft switching range of the converter under extended phase shift modulation is solved.

The invention relates to the technical field of SAR (Synthetic Aperture Radar) image processing, and particularly discloses an SAR image terrain radiation correction method considering overlay and shadow regions, which comprises the following steps: acquiring an SAR image, a DEM (Digital Elevation Model) image and a source file in a research region; carrying out multi-view processing on the original SAR image, resampling the DEM image, and carrying out radiometric calibration; geometric positioning is carried out according to the RD model by adopting an indirect positioning method, lookup tables A and B are generated, and images are registered; detecting pixels of the overlay area and the shadow area; calculating an effective scattering area corresponding to each SAR pixel; and performing radiation correction according to the effective scattering area, repairing a back scattering coefficient value of the shadow area, and finally performing geometric correction. According to the method, the topographic effect caused by an SAR imaging mechanism and topographic relief is eliminated to a certain extent, the radiation correction effect of an area with large topographic relief is improved, and the corrected product can be widely applied to the fields of ground feature inversion and classification, deformation detection, target detection and the like.

Disclosed in the present invention are a current lookup table-based permanent magnet synchronous motor wide voltage range control method and a medium. The method comprises: by means of a full-speed domain current calibration method, obtaining a rotating speed-torque two-dimensional lookup table under a rated bus voltage; on the basis of the lookup table, multiplying a given rotating speed with a front-and-rear amplitude limiting voltage ratio to achieve wide voltage range control; and performing friction torque compensation and sampling delay compensation of a three-phase current at different rotating speeds. The present invention takes into account bus voltage fluctuation under the complex working condition of an electric vehicle, and multiplies the given rotating speed with a variable voltage coefficient ku to obtain an input rotating speed of an input current lookup table, such that precise current control of the permanent magnet synchronous motor under different bus voltage working conditions can be achieved, thereby avoiding the complex and tedious process of re-calibration of the current lookup table under different bus voltages; the present invention also takes into account friction torque compensation and phase current sampling delay compensation at different rotating speeds, wherein the friction torque compensation can be achieved by directly adding a friction torque error into a given torque signal in real time.

The invention relates to a color enhancement method and device, equipment and a storage medium, and the method comprises the steps: responding to an original RGB value of a to-be-displayed image of a screen, and detecting the illuminance of the current environment of the screen; a first three-dimensional color lookup table is obtained in response to the situation that the illuminance meets a preset condition, and the first three-dimensional color lookup table is constructed based on an original color gamut of the screen; and performing gamut mapping on the original RGB value based on the first three-dimensional color lookup table to obtain a target RGB value of the to-be-displayed image, the target RGB value being used for the screen to display the to-be-displayed image. According to the invention, the display color of the screen can be enhanced by using a larger color gamut when the illuminance meets the preset condition, the color display precision of the to-be-displayed image can be maintained, the image blurring is avoided, and the user experience can be improved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an uplink message (e.g., a scheduling request) indicating one or more beam directions (e.g., one beam direction, a set of beam directions, a sequence of beam directions), one or more beamwidths (e.g., for the one or more indicated beam directions), an angular area of interest for radar sensing, or a combination thereof. The network entity may then provide, to the UE, a grant of resources for performing the radar sensing on specific radar sensing transmit beams (e.g., that will not interfere with other radar sensing by other UEs, uplink communications form other UEs, sidelink communications by other UEs, etc.). The UE may indicate the directions of the beams with reference to a global coordinate system. The network may configure the UE with lookup tables (LUTs) defining relationships between indices, beam directions and / or beamwidths.

The invention discloses a soil water content inversion method based on improved combination roughness, and relates to the field of remote sensing, and the method comprises the steps: synchronously obtaining a Sentinel-1 radar image and a Sentinel-2 optical image, and extracting different polarization backscattering coefficients, local incident angles and normalized water body indexes through preprocessing; the method comprises the following steps: generating a bare soil simulation backscattering coefficient data set, removing vegetation scattering contribution by using a water cloud model, obtaining a real bare soil backscattering coefficient, constructing a training set and a verification set containing actually measured soil water content, constructing a lookup table based on double models, and calculating the water content of the bare soil by minimizing a root-mean-square error between simulation and the real backscattering coefficient. Global search is carried out in a preset parameter space to determine an optimal earth surface root mean square height and a correlation length, a novel polynomial combination roughness is constructed, a physical correlation between the roughness and a backscattering coefficient is established, a dual-polarization empirical equation set is constructed, and simultaneous solution is carried out after parameters are optimized according to a criterion; according to the method, a more reasonable inversion result of the soil water content in a large range can be obtained.

A method including applying a large language model to a query to generate a query vector. The query vector has a query data structure storing a semantic meaning of the query. The method also includes applying a semantic matching algorithm to both the query vector and a lookup vector. The lookup vector has a lookup data structure storing semantic meanings of entries of a lookup table. The semantic matching algorithm compares the query vector to the lookup vector and returns, as a result of comparing, a found entry in the lookup table. The method also includes looking up, using the found entry in the lookup table, a target entry in the lookup table. The method also includes returning the target entry.

A video processing method is provided to include: maintaining one or more motion candidate tables; performing a conversion between a current video block of a video and a coded representation of the current video block using multiple video processing operations in a sequence using a motion candidate table; and updating the motion candidate table due to completion of a particular processing operation.

Methods, systems, and non-transitory computer readable storage media are disclosed for optimizing computer memory usage for lookup lists in computer memory via probabilistic data structures. For example, the disclosed system generates a probabilistic data structure (e.g., a Bloom filter) to represent data in a lookup list including multi-token items by hashing items of the lookup list to sets of bit values in a bit vector. The disclosed system classifies text content in a digital document by utilizing a maximum number of tokens from multi-token items in the lookup list to select and compare sets of sequential tokens in the digital document to the probabilistic data structure. The disclosed system also iteratively reduces the number of tokens in sets of sequential tokens for subsequent comparisons. Furthermore, in some aspects, the disclosed system causes a computing device to modify a digital document and / or database operations based on the classifications.

An augmented reality device for obtaining three-dimensional (3D) position information of a plurality of hand joints of a user includes a plurality of cameras configured to photograph the user's hand and obtain images; memory storing instructions; and at least one processor; the instructions, when executed, may cause the device to recognize the plurality of hand joints from the images; obtain two-dimensional (2D) joint coordinate values for feature points corresponding to the hand joints; retrieve, from a look up table (LUT), 3D position coordinate values corresponding to distortion model parameters of the cameras, a positional relationship between the cameras, and the 2D joint coordinate values; and output the 3D position information of the plurality of hand joints based on the 3D position coordinate values.

The invention belongs to the technical field of storage and calculation integration, and particularly relates to a low-bit-width and high-energy-efficiency floating point storage and calculation integrated circuit based on a partial pre-alignment framework. The circuit comprises a memory array, a pre-calculation unit, an adder tree, a configurable arithmetic unit and a normalization unit, and supports mixed precision operation of FP8MACFP4 and FP8MACFP8. The method is characterized in that a partial pre-alignment strategy dominated by an activation value is adopted, the maximum index of the activation value is dynamically counted, the mantissa of the maximum index is aligned, and multiple partial pre-alignment intermediate results are pre-calculated and latched for reuse; in combination with a customized lookup table and a multiplexer, a pre-calculation result is directly selected to replace real-time multiplication and displacement; and through the reconfigurable hardware, the FP8MACFP8 high-precision operation is realized by utilizing the FP8MACFP4 unit combination. According to the method, complete online floating point multiplication and addition operation is realized, and excellent energy efficiency ratio and operation speed are obtained while high precision is kept.

The invention provides a control method of storage equipment, the storage equipment and a computer storage medium. The method comprises the following steps: taking data read under initial threshold voltage as original data; symmetrically shifting the initial threshold voltage by taking the initial threshold voltage as a center, and reading data again as bias data; the mutually symmetrical bias data are logically processed, and judgment data are obtained; the original data and the judgment data are combined, a partition array is obtained, the credibility of the partition array is obtained through a lookup table, and the credibility and the accuracy of the judgment data are in positive correlation; the judgment data with high confidence reliability are preferentially judged, and the judgment data are decoded and processed; when decoding processing is started, the number of times of symmetrical offset initial threshold voltage is increased, and data are read again to serve as bias voltage data of the next round; and the step of obtaining the judgment data, the step of obtaining the credibility and the decoding process are cycled until decoding succeeds or the number of symmetric offset times reaches an offset time threshold value.

The invention provides an urban area-oriented multi-source remote sensing data joint positioning method and system, and the method comprises the steps: obtaining a plurality of optical stereoscopic images and corresponding connection point data, constructing an optical stereoscopic block, and extracting laser elevation control point data and digital surface model data in the range of the optical stereoscopic block; calculating a ground coverage range of a plurality of optical stereoscopic images, mapping the ground coverage range to a grid unit by adopting a grid lookup table, obtaining a laser point accurate image space coordinate by combining the screened laser elevation control point data, and outputting a laser elevation control point set; calculating a laser elevation control point set based on a rational function model and affine transformation, and constructing a multi-source remote sensing data joint adjustment function model; and resolving the multi-source remote sensing data joint adjustment function model to form an observation error equation, performing heuristic search solution on the observation error equation, and outputting an adjustment model parameter result and a final connection point ground coordinate.

The invention belongs to the technical field of remote sensing application, and provides a grassland biomass inversion method based on a radiation transfer model and machine learning, and the method comprises the following steps: obtaining and processing remote sensing data, DEM data and actually measured biomass data of a target region; performing terrain correction by adopting an SCS + C method; performing global sensitivity analysis on input parameters in the PROSAIL model, and calibrating the input parameters according to the global sensitivity analysis; introducing topographic factors into the model, and correcting the solar zenith angle and the observation zenith angle; generating simulated canopy reflectivity data by using the model, and constructing a data set; constructing a lookup table LUT by combining the simulated canopy reflectivity data and the above-ground biomass data, and performing machine learning modeling according to the canopy spectral data set; and verifying the inversion precision, and outputting a grassland above-ground biomass spatial distribution map. According to the inversion method, terrain factors are introduced on the basis of a traditional model, and the adaptability and estimation precision of the model to a complex terrain area are improved by combining a machine learning method.

The invention relates to the field of intelligent control of the production process of a concrete prefabricated part, and discloses a temperature and humidity parameter self-adaptive control method in the demolding process of the concrete prefabricated part, and the method comprises the steps: obtaining an electrical fingerprint signal representing the internal hydration state of concrete and an external environment temperature change rate signal through a pre-embedded sensing unit; the current temperature and humidity parameter tolerance domain boundary is dynamically determined through a preset two-dimensional lookup table based on the double-signal coupling relation, and the environment adjusting equipment is controlled to operate according to the current temperature and humidity parameter tolerance domain boundary. The system can adaptively adjust the control boundary according to the actual state of the component, and the control robustness and the resource utilization efficiency are remarkably improved while the quality is guaranteed.

The invention provides a circuit optimization method, system and device based on model predictive control and a medium, and relates to the technical field of integrated circuit design, and the method comprises the steps: constructing a circuit knowledge graph and a simulation data lookup table according to a circuit design experience document and circuit simulation data; initializing a search feasible region of design points according to the circuit knowledge graph and the simulation data lookup table, and performing multi-point exploration Bayesian optimization to obtain a candidate design point set of the current circuit; and according to the simulation data lookup table, the circuit knowledge graph and the candidate design point set, in combination with a model prediction control framework, executing a reinforcement learning method to obtain an optimal design point of the current circuit, and providing optimal configuration of the current circuit. According to the method, the consumption of simulation computing resources is effectively reduced, the optimization efficiency is improved, and meanwhile, the design is ensured to meet the multi-target performance requirements of gain, power consumption, bandwidth and the like.

The invention discloses a beer sealing cover defect identification method based on image intelligent identification, and relates to the field of image identification, and the method comprises the steps: extracting the brightness distribution, color histogram and edge gradient features of a picture shot by a camera; constructing a precise light type calculation model, and dynamically adjusting brightness transition curves of adjacent partitions; identifying a high-contrast edge in the picture, and dynamically adjusting a brightness decay curve of adjacent partitions according to an edge brightness difference; color calibration is carried out through a three-dimensional color lookup table; and performing defect identification on an actual sealing cover image by using a dual mechanism. The light rays of the light source emitter are regulated and controlled, so that under the contrast condition, a machine and human eyes are easy to identify, the halo diffusion radius is reduced, and color calibration is carried out through the three-dimensional color lookup table, so that the machine and the human eyes are prevented from being influenced by images during identification, and the overall identification accuracy is ensured.

The invention provides a simulation method for message deduplication in a VRA mode and a related device, and relates to the technical field of chip verification. The method comprises the steps that whether a first serial number of a current message is larger than a second serial number or not is judged, the second serial number is the maximum serial number of a sent message in a target table item, the target table item is a table item corresponding to a target flow to which the current message belongs in a lookup table, and the table item of the lookup table further comprises a message record corresponding to the flow; the message record is used for indicating that the processing state corresponding to the serial number of the sent message is sent; if yes, calculating to obtain a difference value between the first serial number and the second serial number; according to the size of the acceptable window, the size of the sliding window and the difference value, a target processing mode of the current message is determined, the lookup table is updated, and the target processing mode indicates that the current message is discarded or sent. Therefore, simulation of message sliding window de-duplication in the VRA mode in FERE can be realized, and function verification of the to-be-tested design can be quickly carried out.

Embodiments described herein relate to computational multiplexing and applications thereof. The disclosed method and system for performing multiplexed diagnostic testing include providing a sample comprising nucleic acid units to a plurality of channels of a multichannel device; introducing a unique set of probes and reporter moieties into each of the channels; detecting a first indicator readout from a set of channels, wherein the first indicator readout is generated by interaction of a probe within the unique set with one of the nucleic acid units in the sample; generating a readout code for the sample based at least in part on the first indicator readout detected from the first set of channels; matching the generated readout code against a plurality of readout code entries of a lookup table; and generating a detection result of the multiplexed diagnostic testing for the sample based on the matched readout code.

The invention belongs to the technical field of remote sensing, and relates to a multispectral remote sensing atmospheric correction method based on fusion of a physical model and a neural network, which comprises the following steps: S1, classifying aerosol parameter data obtained based on foundation observation, remote sensing inversion or meteorological model and satellite data fusion inversion by adopting an unsupervised clustering algorithm, extracting a typical aerosol mode with physical representativeness; s2, in combination with the typical aerosol mode, simulating the apparent reflectivity of an observation channel under a plurality of atmospheric states and observation geometric conditions by using a radiation transfer model, generating a lookup table covering a wide parameter space, and constructing a training data set; and S3, constructing a nonlinear regression model, taking the training data set as a training sample, learning a mapping relation among an observation angle, an aerosol condition and surface reflectance, performing atmospheric interference correction on an actual multispectral remote sensing image under a pollution condition, and outputting a surface reflectance result.

The invention relates to a sea small target identification method based on polarization three-dimensional reconstruction, a computer and a ship, and belongs to the field of sea surface small target detection.The sea small target identification method comprises the following steps that S1, light intensity images of a sea surface detection scene in the four polarization directions of 0 degree, 45 degrees, 90 degrees and 135 degrees are collected through polarization imaging equipment, and polarization images are obtained; s2, calculating to obtain a linear polarization degree and a linear polarization angle based on the polarization image; s3, deducing the surface normal direction of the sea surface detection scene by adopting a lookup table method based on the linear polarization angle; s4, deducing the three-dimensional depth of the sea surface detection scene by using a shape polarization SfP technology according to the surface normal direction; s5, according to the three-dimensional depth, gradient values of the sea surface detection scene in the horizontal direction and the vertical direction are obtained through calculation; and S6, according to the gradient value, setting a threshold value of the gradient to distinguish the small target and the sea surface background in the sea surface detection scene, and completing the detection of the sea surface small target. The method is high in detection speed and high in precision.

Certain aspects of the present disclosure provide techniques for identifying a minimal, or at least reduced, set of representative calibration paths in radio frequency (RF) circuits and calibrating other calibration paths based on calibration codes used for the representative calibration paths. An example method generally includes receiving a calibration data set including measurements associated with each calibration path of a plurality of calibration paths in an RF circuit. Based on a clustering model and the calibration data set, a plurality of calibration clusters is generated. From each respective calibration cluster of the plurality of calibration clusters, a respective representative calibration path for is selected for the respective calibration cluster. Generally, calibration codes generated for the representative calibration path are applicable to other calibration paths in the calibration cluster. A lookup table is generated associating a respective calibration path with other calibration paths in each respective calibration cluster.