56 results about "Information measure" patented technology

A system for extracting glacier boundaries using multiparametric analysis, consisting of: a data acquisition module configured to acquire Synthetic Aperture Radar (SAR) data of a glacial region; a data processing unit configured to process the SAR data to generate coherence images and backscatter intensity maps, to extract terrain parameters including slope and curvature information from a digital elevation model (DEM), to apply thresholds to the coherence images, backscatter intensity maps, and terrain parameters, to generate a multi-band stack comprising the thresholded coherence images, the thresholded backscatter intensity maps, the thresholded slope information, and the curvature information, and a principal component analysis module configured to standardize the multi-band stack, calculate a covariance matrix from the standardized data, calculate eigenvalues and eigenvectors of the covariance matrix, and transform the original data into a principal component space with reduced dimensionality; a texture feature extraction module configured to calculate first- and second-order statistics from the output of the principal component analysis; generating a texture feature set comprising at least one of the following: sum average, entropy, difference entropy, sum entropy, variance, difference variance, inverse difference moment, contrast, correlation, information measures of correlation, and maximum correlation coefficient; a connected component segmentation module configured to: convert the set of textural features into a binary format that distinguishes glacier ice from the background; group spatially connected pixels of similar intensity into segments; extract a vector shape file corresponding to the glacier boundary; an output generation module configured to generate a glacier boundary delineation output; and a user interface having a display configured to display the output generated by the output generation module.

The invention relates to the technical field of vehicle calibration, in particular to an information data management system for vehicle calibration. A measurement noise covariance matrix is optimized by fusing data acquired by a visual sensor and a millimeter wave radar and introducing the size, the volume and the dispersity of an obstacle as well as the illumination condition and the shielding condition in image data, so that the position of the obstacle is determined, and the sensor calibration deviation is judged in a real-time environment; when calibration is needed, angular points in the image data are extracted through an angular point detection algorithm, extraction of feature points in the image data is accurately optimized by introducing the angular points, and calibration of the visual sensor and the millimeter-wave radar is achieved by combining distance and angle information measured by the millimeter-wave radar.

The invention discloses a target point positioning method and device and scanning equipment, and belongs to the field of three-dimensional scanning. The method comprises the following steps: acquiring a target point set; the target point set comprises target points measured in a plurality of observation frames and coordinate information, and the coordinate information comprises global coordinates and image coordinates in the binocular camera; determining an error function based on the image coordinate of the target point in the binocular camera, and optimizing the error function to update the global coordinate of the target point; identifying the same target points in the target point set based on the updated global coordinates, and performing duplicate removal processing on the target point set based on the same target points to obtain a new target point set; and returning to the first step to continue the execution until an iteration termination condition is met, and obtaining a final target point set. According to the method, binocular measurement data fusion is combined, the three-dimensional coordinates of the target points are iteratively optimized, and repeated target points are eliminated, so that the measurement precision is improved, and the layering phenomenon is reduced.

The invention provides a photoelectric tracking control method based on inertial information assistance. The photoelectric tracking control method comprises the following steps: S1, obtaining a projection vector of a target in a target surface system and a projection vector of the target in a target geographical system; s2, performing time synchronization on the miss distance and the measured angle by taking inertial navigation as a reference, and predicting a projection vector under a geographical system to obtain an elevation angle and an azimuth angle of a carrier system at the current moment; s3, performing time alignment of the measurement data and space alignment of the coordinate system and the measurement data, and correcting the angle measurement data; s4, carrying out updating frequency improvement and prediction on the target vector position by using carrier operation information measured by the inertial measurement unit, providing target indication data to form control parameters and guide information, controlling the detection head to turn to the target position according to the guide information, and after guiding to turn in place, returning to the target position. A given target is guided, captured and tracked, miss distance and a tracking state are returned in real time, a position closed loop of target tracking can be realized, and the tracking performance and stability of a system are improved.

The invention discloses a database tuning method and device based on quantum computing, a medium and equipment, and the method comprises the steps: obtaining the value range of a plurality of database parameters, and setting a tuning target; based on the value range, mapping the database parameters into an initial superposition state of the quantum bits, and inputting the initial superposition state into the quantum strategy network; carrying out training optimization on built-in parameters in the quantum strategy network based on an adjustment and optimization target in combination with database state information measured in real time in a training process; and after training is finished, measuring and decoding an output quantum state of the quantum strategy network to obtain optimized database parameter configuration. According to the method, an excellent performance optimization effect can be achieved without depending on a high-quality sample, and the parameter optimization efficiency is greatly improved.

The invention discloses a low-temperature liquid flowmeter calibration method, device and equipment, a medium and a product, relates to the technical field of calibration, and aims to solve the problem of low efficiency and accuracy when a flowmeter is calibrated. The low-temperature fluid flowmeter calibration method is applied to control equipment in a low-temperature fluid flowmeter calibration system. The calibration system for the low-temperature fluid flowmeter further comprises a first acquisition device, a standard meter, a second acquisition device and a temperature transmitter. The low-temperature fluid flowmeter calibration method comprises the steps that under the condition that second flow information and fluid temperature meet calibration conditions, multiple groups of accumulated mass flows are obtained; one group of accumulated mass flow comprises one piece of first flow information and one piece of second flow information measured in the same acquisition time period; different groups of accumulated mass flows correspond to different mass flow points; and according to the multiple groups of accumulated mass flow rates, determining an error value corresponding to each mass flow rate point of the to-be-calibrated flow meter so as to calibrate the to-be-calibrated flow meter.

The invention relates to the technical field of product reliability evaluation, in particular to a product reliability evaluation method and system based on multi-information measurement fusion. The method comprises the following steps: acquiring an unknown parameter of life distribution adapted to an evidence source, generating a parameter interval for the unknown parameter, and generating basic probability distribution associated with the parameter interval based on the evidence source; calculating correlation coefficients between the evidence sources based on the basic probability distribution, and generating importance weights according to a plurality of correlation coefficients of the evidence sources and other evidence sources; calculating the information entropy of the evidence source, and obtaining a credibility weight through normalization based on the information entropy; carrying out normalization on an operation result of the importance weight and the credibility weight to obtain an evidence weight; taking the evidence weight as a weight coefficient of basic probability distribution, and obtaining comprehensive probability distribution through evidence fusion; and carrying out parameter estimation on unknown parameters based on comprehensive probability distribution, and substituting an estimation result into a reliability function to carry out reliability evaluation, so that reliability evaluation under fault-free data is realized.

The invention relates to a marine environment information measuring system and method based on multi-source data fusion. The system is characterized in that a seawater monitoring system is used for monitoring and collecting seawater pressure, temperature, salinity, sound velocity and seawater transparency data; the hydrological monitoring subsystem is used for detecting and collecting flow velocity and flow direction data of seawater; the atmospheric monitoring system is used for monitoring atmospheric visibility data in real time, measuring and recording air temperature, humidity, air pressure, wind speed, wind direction and rainfall data of monitoring points of the monitoring platform in real time, acquiring influences of the monitoring points on sea surface atmospheric meteorological data and acquiring position data of observation points; the data transmission and processing system performs marine surveying and mapping data inspection on the monitoring data through a robust M estimation inspection method, and accurately locates and eliminates abnormal values in the data; and data parameters are corrected to obtain hydrological monitoring data correctly reflecting the measuring points. According to the invention, marine environment monitoring information can be comprehensively presented from different dimensions.

The invention relates to a method for correcting an output value of cold atom interference measurement equipment under a motion condition. The method comprises the following steps: acquiring attitude information of an inertial navigation system and acceleration information measured by a triaxial accelerometer; calculating # imgabs0 and # imgabs1 # on the basis of the attitude information and the acceleration information to represent a unit vector of a rotating shaft z axis of the cold atom interference measurement equipment in an initial state, omega represents a real-time rotating speed of the cold atom interference measurement equipment, delta v represents a speed difference between an atom and an accelerometer, and delta r'represents a position vector from the atom to the accelerometer; compensating the output value of the cold atom interference measurement equipment by using the values of a1 and a2; the environmental adaptability of the cold atom interference measurement equipment can be remarkably improved under the condition of no stable platform and no vibration isolation device, so that the cold atom interference measurement equipment outputs a correct measurement value in a complex rotation and vibration coexistence measurement environment.

The invention discloses a tower footing type millimeter wave clearance radar monitoring method and system and computer equipment, and relates to the field of wind power. The millimeter wave radar sensor is used for being installed at the position of a wind tower base, establishing a radar view field coordinate system based on the radar sensor installation position and a radar view field, and extracting and recognizing point cloud data of tower drum blades in the target direction. According to the position of the point cloud data and the position relation of the radar sensor relative to the tower, the radial distance of the target point cloud relative to the tower is calculated, and the maximum clearance value of the blade is calculated; and generating target measurement information based on the blade pose information measured by the radar sensor at the current moment and the maximum clearance value, and sending the target measurement information to fan main control equipment. According to the scheme, the coordinate system is established and the blade clearance value is calculated through the millimeter wave radar sensor mounted at the wind tower base, so that the problems of difficulty in high-altitude mounting and maintenance, failure in monitoring in severe weather and unstable measurement reference are solved, and the method has the advantages of improving the monitoring reliability, reducing the maintenance cost and improving the measurement precision.

This technology provides a method for predicting weather information about the location of a moving object at the time of its passage. [Solution] The prediction system comprises weather information measured at each of a plurality of measurement points, a database that records information on the date and time and location of the measurement of the weather information, and a weather information prediction unit that, when a moving object moves along a predetermined path, predicts the weather information for the date and time the moving object will pass through each waypoint at each waypoint, based on the weather information recorded in the database of the measurement points located near the waypoint.

The system accurately detects signs of abnormality occurring in individual pieces of equipment 3 based on whether the equipment is maintained in a harmonious state, and further accurately detects signs of abnormality occurring in a group of equipment including a plurality of pieces of equipment 3 based on whether the group of equipment is maintained in a harmonious state. [Solution] The system comprises a first communication unit 11c that receives status information measured by at least one sensor 5 installed in a specified facility 3, and a first control unit 11a that derives reference status information that represents the status information during a specified period in the past, stores the reference status information in a memory unit 11b or a server memory unit 30b, and generates current status information that represents the status information after the specified period in the past, and the first control unit 11a determines the status of the facility 3 based on the generated current status information and the stored reference status information.

An impact determination system according to the present invention includes: a memory configured to store instructions; and one or more processors configured to execute the instructions to: acquire a predicted surface layer state of a structure after an event, the predicted surface layer state being sensor information related to a surface of the structure on a ground surface and having been predicted based on pre-event sensor information measured before the event related to a ground of the structure; acquire post-event sensor information measured after the event; determine a post-event surface layer state of the structure based on the post-event sensor information; and determine an impact of the event on the structure based on the predicted surface layer state and the post-event surface layer state.

The present invention discloses a three-dimensional CT / PET image registration method based on mutual information and L-BFGS optimization, which belongs to the technical field of calculation, inference or counting. The registration method of the present invention is a two-stage cascade process of rigid coarse registration and B-spline elastic fine registration. It utilizes the precision advantage of mutual information measurement and noise reduction preprocessing to solve the problem of lack of precision of traditional multimodal image registration methods due to data modality and grayscale differences. It also adopts L-BFGS to improve the optimization algorithm, which greatly reduces the number of iterative calculations in traditional registration, gives full play to the speed advantage of the second-order convergence optimization algorithm, and greatly reduces the registration time. In summary, the registration method of the present invention shows high precision and speed advantages in the three-dimensional CT / PET multimodal image registration problem.

Method for initially providing an at least partially data-based aging state model (4) for an electrical energy storage device (3), comprising the following steps: - Providing (S1) a number of energy storage devices (3) on a test bench (1) for measurement depending on a respective load profile, wherein the load profiles are different and characterize a time course of at least one load-bearing operating parameter for the energy storage device (3); - Operating (S2) the number of energy storage devices (3) with their respective assigned load profiles and recording operating parameter profiles over time; - At each given evaluation time, determine (S4) an aging state of a subset of the energy storage devices (3) as a label and generate a training data set with the operating parameter profiles and the determined label for each energy storage device (3) of the subset of energy storage devices (3); - Selecting (S6) the subset of energy storage devices (3) with their respective assigned load profiles depending on an optimization procedure that considers total costs (C J ) a measurement of the energy storage (3) on the test bench (1) and of a total information measure (Info J ) the measurement of the energy storage (3) depends.

There is provided a first user equipment comprising: means for measuring first measurement information related to the first user equipment using a first measurement type; means for receiving, from a second user equipment co-located with the first user equipment, second measurement information measured on the basis of a second measurement type; and means for performing measurement aggregation based on aggregation of the first measurement information and the second measurement information.

The application provides a multi-dimensional information measuring system and method of a light field. The multi-dimensional information measuring system of the light field comprises a regulating device, which is used for adjusting an illumination state of a light field to obtain an initial light field; a scene simulation device, which comprises a simulation medium and a target object, receives the initial light field, and makes the initial light field pass through the target object and the simulation medium and exit to obtain a to-be-measured light field; and a multi-dimensional detection device, which receives the to-be-measured light field and detects information of the to-be-measured light field. The scene simulation device simulates multiple scenes, and the system can detect multi-dimensional light field information of multiple environmental variables.

To improve accuracy in determining whether or not a user who performs an operation related to a financial transaction is suspected of being involved in a crime or trying to perform other actions to be restricted, as compared with a case where a change in biological information before and after a warning is presented is not used.SOLUTION: The moving image acquisition unit 111 acquires moving image data obtained by photographing the face of the user. The biological information measurement unit 112 measures biological information based on the moving image data. The reception unit 114 receives an operation of the user for a procedure related to a financial transaction from the operation unit 14. When the condition is satisfied, the presentation unit 115 causes the display unit 15 to present a warning. The biological information acquisition unit 116 acquires biological information measured before and after the date and time when the warning is presented. The determination unit 117 determines whether the change from the first biological information to the second biological information satisfies the determination condition.SELECTED DRAWING: Figure 11

This invention relates to the field of computer technology, specifically to a method and apparatus for irony recognition based on multi-scale information measurement, comprising the following steps: S1 constructing a text irony dataset; S2 generating multi-scale feature extraction and matrices; S3 performing conditional measure calculation and optimal scale selection; S4 performing multi-scale feature fusion; and S5 performing Transformer model recognition. This invention addresses problems in existing irony recognition methods, such as incomplete feature capture, deficiencies in multi-scale analysis, simplification of feature fusion, and poor robustness, by deeply integrating multi-scale information measurement theory with text data.

The present invention discloses a method and system for compensating the rotation accuracy of a turntable, comprising: determining an origin correction period as #imgabs0#; obtaining characterization information measured from a stationary position on the side of a turntable when the turntable rotates; when the characterization information changes, calculating the actual rotation speed of the turntable based on a time parameter and the origin; compensation correction, which includes: obtaining control parameters of the turntable; identifying and searching a preset database, and calling a set rotation speed #imgabs2# that matches the control parameters; if manually entered information is identified, indicating that the current processing accuracy requirement is a number of turns accuracy type, then: when the set rotation speed #imgabs3#> When the actual speed #imgabs4# is reached, the additional rotation amounts #imgabs5# and #imgabs6# are calculated; the additional times #imgabs7# and #imgabs8# are calculated; and the downtime matching the control parameters is updated using #imgabs9#. When the set speed #imgabs10# is less than the actual speed #imgabs11#, the reduction amounts #imgabs12# and #imgabs13# are calculated; the reduction times #imgabs14# and #imgabs15# are calculated; and the downtime matching the control parameters is updated using #imgabs16#. This application improves the control accuracy of the rotary table.

To provide a ship information measuring program, a ship information measuring method, and a ship information measuring device that can easily and accurately measure ship information such as a dimension, azimuth, and a position of a ship.SOLUTION: A ship information measuring device causes a computer to execute processes for capturing a predetermined ship with an image acquisition device to acquire a captured image of the predetermined ship; extracting a feature point of the predetermined ship in the captured image based on an output obtained by inputting the acquired captured image into a mechanical learning model extracting a feature point in a ship from an image; acquiring a distance from an image acquisition device to a horizontal plane where the predetermined ship is positioned; acquiring an inclination angle relative to the horizontal plane of the image acquisition device; and specifying ship information of the predetermined ship based on a position, a distance, and an inclination angle of the feature point in the captured image.SELECTED DRAWING: Figure 1

This minimum frequency control device (100) comprises: a measurement information analysis unit (130) that, on the basis of a reference condition, analyzes real-time measurement information to monitor a load pattern, triggers a pull-up event when the load pattern transitions from not conforming to said reference condition to conforming thereto, and triggers a reset event when the load pattern transitions from conforming to said reference condition to not conforming thereto; and a CPU minimum frequency setting unit (140) that, on the basis of the real-time measurement information and CPU characteristic information (300) calculated from measurement information measured in a test in which a CPU load is applied to a control target server (200), inputs a change value of a CPU minimum frequency to the control target server at the timing of each event.

The application discloses a database tuning method and device based on quantum computing, a medium and equipment, the method comprises: obtaining the value range of multiple database parameters, and setting a tuning target; based on the value range, mapping the database parameters into the initial superposition state of the quantum bit, and inputting the initial superposition state into the quantum strategy network; based on the tuning target, and combining the database state information measured in real time in the training process, training and optimizing the built-in parameters in the quantum strategy network; after the training is completed, measuring and decoding the output quantum state of the quantum strategy network to obtain the optimized database parameter configuration. The application can achieve excellent performance optimization effect without relying on high-quality samples, and greatly improves the efficiency of parameter optimization.

The invention provides a track circuit imbalance monitoring data expansion method based on time sequence information measurement and LSTM, and the method comprises the steps: sequentially carrying out the standardization processing, symbolization processing and phase-space reconstruction of a collected track circuit monitoring signal data sample, obtaining a reconstruction vector set, and recognizing all possible modes; calculating the occurrence frequency of each mode in an original data sample, forming a frequency sequence, dividing the frequency sequence into an input sequence and a target sequence according to a preset window size, constructing an LSTM network model, training the LSTM network model by using the input sequence and the target sequence so as to learn a time sequence dynamic change rule of the frequency sequence, and obtaining a time sequence dynamic change rule of the frequency sequence by using the trained LSTM model. Starting from the initial input sequence, subsequent frequency values are generated step by step. The method comprises the following steps: firstly, mapping a collected sample from an original space to a feature space by using improved information measurement, and then gradually expanding and balancing an unbalanced data set so as to generate a generated sample which is highly similar to a real sample and is convenient to use.

The present application relates to the technical field of multi-sensor data fusion, and discloses a method and device for determining a pose, a computer device, a medium and a program product. The method comprises: obtaining first pose information and second pose information at a first time; wherein the first pose information is pose information measured by an odometer, and the second pose information is pose information measured by an inertial measurement unit; determining first target pose information at a target time according to the pose information at the first time and the target time; and determining second target pose information at the target time according to the second pose information; determining a first relative error according to the first target pose information, the first pose information and first target observation pose information; determining a second relative error according to the second target pose information, the second pose information and second target observation pose information; and determining a target pose according to the first relative error, the second relative error and a preset confidence level.

The invention relates to the technical field of multi-sensor data fusion, and discloses a pose determination method and device, computer equipment, a medium and a program product. The method comprises the following steps: acquiring first pose information and second pose information at a first moment; wherein the first pose information is pose information measured by a speedometer, and the second pose information is pose information measured by an inertial measurement unit; determining first target pose information of the target moment according to the pose information of the first moment and the target moment; determining second target pose information at the target moment according to the second pose information; determining a first relative error according to the first target pose information, the first pose information and the first target observation pose information; determining a second relative error according to the second target pose information, the second pose information and the second target observation pose information; and determining a target pose according to the first relative error, the second relative error and a preset confidence coefficient.

The invention provides a pose determination method of an agricultural vehicle and the agricultural vehicle. The pose determination method comprises the following steps: calibrating the mounting pose of an inertial measurement unit (IMU) of the agricultural vehicle in the agricultural vehicle in advance; performing data fusion on position information and speed information measured by a global navigation satellite system (GNSS) and position information, speed information and attitude information calculated by an inertial navigation algorithm based on data measured by an inertial measurement unit (IMU) based on an extended Kalman filtering algorithm; and determining the pose of the agricultural vehicle based on the fused position information and attitude information of the IMU and the installation attitude. The precision and accuracy of agricultural vehicle pose information measurement are improved, so that the operation efficiency of the agricultural vehicle is improved.

The embodiment of the invention relates to the technical field of oil and gas field development, in particular to an oil reservoir partitioning method, device and equipment, and the method comprises the steps that according to distribution data of multiple development parameters of an oil reservoir, the information measurement weight of each development parameter is calculated; the distribution data comprises data of each development parameter at a plurality of grid points; the information measurement weight comprises the relevancy between each development parameter and the remaining oil distribution; according to the information measurement weight of each development parameter and the distribution data of each development parameter at each grid point of the oil reservoir, calculating development sequence data of each grid point of the oil reservoir; the development sequence data comprises weighted distribution data of each development parameter at the grid points; clustering the development sequence data of the plurality of grid points according to a preset clustering number to obtain a contour coefficient of each clustering number in a plurality of preset clustering numbers; and partitioning the oil reservoir according to a clustering result corresponding to the clustering number with the maximum contour coefficient.

A server of a health prediction system in one example includes a communication unit for performing wireless communication with a collection terminal for collecting user biometric information measured; an artificial intelligence unit which, when characteristic information about at least one measurement apparatus, generates a prediction model for a specific disease, and trains the prediction model on the basis of the collected user biometric information; and a control unit which, when the prediction model is trained, controls the artificial intelligence unit so that a prediction level related to the specific disease is calculated from the trained prediction model, determines a prediction result for the specific disease on the basis of the calculated prediction level and a preset threshold value, and transmits the determined prediction result to the collection terminal.

A computer-implemented method for providing input data points for measuring a technical system is disclosed. The technical system is measured in particular on a test bench according to predefined measurement trajectories in order to obtain measurement data, wherein the measurement data assigns one or more measured variables as labels to an input data point from one or more input variables. The method includes (i) measuring a measurement trajectory by successively controlling the technical system with input data points of the measurement trajectory and identifying the respective one or more measured variables as respective labels, (ii) training or updating a data-based surrogate model, which is designed in particular as a probabilistic regression model, with the labeled input data points, (iii) determining a further measurement trajectory to be measured by optimizing a total information measure of the input data points of the measurement trajectory in the surrogate model, and (iv) measuring the technical system with the determined further measurement trajectory to be measured. The total information measure indicates a sum of the information measures of the individual input data points of the measurement trajectory, wherein the information measure specifies the contribution of the relevant input data point to the further training of the surrogate model.