18 results about "Information measure" patented technology

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 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.

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.

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 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.

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.

To provide a method for judging the propriety of the continuation of the edging of a slab.SOLUTION: The method for judging the propriety of the continuation of the edging of the slab judges the propriety of the continuation of the edging of the slab. The method includes a reference data acquisition step of acquiring reference data that serves as a reference for a degree of twist of the slab, a position information acquisition step of acquiring position information of the slab at a plurality of points parallel to an upper side or a lower side formed along a width direction of the slab, a prediction information generation step of generating prediction information that predicts a degree of twist of the slab when the edging is continued, based on the reference data and the position information of the plurality of points, and a suitability information generation step of generating suitability information regarding suitability of continuation of the edging of the slab, based on the prediction information. The position information is position information measured during the edging of the slab.SELECTED DRAWING: Figure 1

The invention relates to the technical field of computers, and in particular relates to a multi-scale information measurement-based anti-interference identification method and device, and the method comprises the following steps: S1, constructing a text anti-interference data set; s2, generating a multi-scale feature extraction matrix; s3, carrying out condition measurement calculation and optimal scale screening; s4, performing multi-scale feature fusion; and S5, carrying out Transform model identification. According to the invention, through deep fusion of the multi-scale information measurement theory and the text data, the problems of incomplete feature capture, defects of multi-scale analysis, simplified feature fusion, poor robustness and the like in existing anti-recognition are solved.

A communication method according to one aspect is a communication method in a mobile communication system. The communication method includes a step in which a user equipment or a network node infers the number of beams to be measured, from measurement information measured at the user equipment, using a trained artificial intelligence (AI) / machine learning (ML) model. Here, the measurement information includes at least one of a radio quality measurement value, position information of the user equipment, and movement information of the user equipment.

This method for predicting the quality of an oil product produced by a hydrodesulfurization process comprises the steps of: collecting measurement information measured by a plurality of sensors provided in hydrodesulfurization process equipment; and predicting the quality of the oil product from the collected information by using an artificial intelligence model including a first prediction model that has learned first training data and a second prediction model that has learned second training data.

Reliability of a target is appropriately determined. A target detection device detects a target around a vehicle based on sensor information measured by a plurality of sensors. The device includes: a first sensor; a second sensor; an integration processing unit that integrates detection information of the target of the first sensor and detection information of the target of the second sensor for each cycle; an integration history management unit that manages an integration result of the integration processing unit as an integration history in time series; and a reliability determination unit that determines reliability of a type of the target based on the integration history and the pieces of detection information of the target of the first sensor and the second sensor. The detection information of the target of the first sensor includes type information of the target.

The present application relates to the technical field of vegetation resource investigation and accounting, and discloses a regional vegetation carbon sink monitoring system driven by multi-source data fusion, comprising: dividing accounting units with unique codes and constructing a resource matrix containing satellite spectrum, ground sample characteristics and historical evolution trend vectors; calculating mutual information measure to determine source consistency, and calling historical trend vector logical arbitration when exceeding the threshold; applying a nonlinear attenuation rule to correct the weight coefficient to generate a normalized resource matrix; mapping the normalized data to a volume digitization model, and outputting a report containing conflict processing logs and algorithm basis, the present application establishes a consistency audit and dynamic normalization mechanism, solves the scale effect conflict between heterogeneous sources, ensures that the accounting process maintains logical self-consistency, and provides a digital foundation with audit tracking capability for carbon asset management.