200 results about "Statistical processing" patented technology

The invention relates to an electric hand drill wear state prediction and health management system, which belongs to the technical field of intelligent fault diagnosis and predictive maintenance of industrial equipment, and comprises a data acquisition and preprocessing unit used for acquiring and processing a multi-modal physical signal to generate a standardized data frame; the multi-domain feature transformation unit is used for receiving the standardized data frame and transforming the standardized data frame into a health feature vector and a load feature vector; the dynamic health baseline construction unit is used for reconstructing and generating a dynamic health baseline through a depth generation model according to the time sequence of the health feature vector and the load feature vector; and the residual error sequence generation and statistical monitoring unit is used for calculating the distance between the health feature vector and the dynamic health baseline, generating a residual error sequence, and performing statistical processing on the residual error sequence to obtain a statistical magnitude. According to the invention, the interference of working condition change on health state assessment is eliminated, and pure and reliable data input is provided for subsequent accurate monitoring.

The invention relates to the field of satellite ground station electromagnetic environment monitoring, in particular to a full-band satellite ground station electromagnetic environment monitoring system. Comprising a monitoring and direction-finding subsystem and an information processing subsystem, and an omnidirectional real-time monitoring device and a directional high-sensitivity monitoring device receive interference signals through corresponding monitoring antennas and direction-finding antennas and send the received interference signals to corresponding radio frequency receivers. The radio frequency receiver antenna processes the received signal, outputs an intermediate frequency signal, and sends the intermediate frequency signal to a corresponding signal processing unit; the signal processing unit is used for sampling an input signal, then carrying out down-conversion, filtering and extraction preprocessing operation according to a specified frequency, carrying out analysis and monitoring direction finding on preprocessed data, and transmitting monitoring direction finding data to the information processing subsystem; and the information processing subsystem receives monitoring results of the ground stations and performs fusion statistical processing. The method is suitable for satellite ground station electromagnetic environment monitoring.

The present invention obtains a rider-assistance system, a data structure, and a control method capable of improving safety of a straddle-type vehicle.In a rider-assistance system 1, the data structure, and the control method according to the present invention, an execution section of the rider-assistance system 1 executes rider-assistance operation to assist with driving by a rider. Furthermore, a generation section of the rider-assistance system 1 generates travel guide information on a curved road by subjecting a data set, which includes turning travel information of each of plural straddle-type vehicles 10 on the curved road acquired by each of the vehicles, to statistical processing. Before the straddle-type vehicle 10 enters the curved road, the execution section executes the rider-assistance operation on the basis of the travel guide information that is generated by the generation section.

The invention relates to the technical field of chips, and provides a clock duty ratio calibration method and device, a medium and a program product, and the method comprises the steps: obtaining a plurality of intermediate control values used for representing a duty ratio state through executing a scanning process for multiple times; the at least one intermediate control value is a control value recorded when the duty ratio detection signal is subjected to final state transition in one scanning process; performing statistical processing on the plurality of intermediate control values to generate a final duty ratio control signal; the clock duty cycle is calibrated based on the final duty cycle control signal. According to the invention, the problems of poor anti-interference capability, misjudgment caused by the influence of a circuit environment and low single comparison precision in the prior art are solved, the clock duty ratio distortion caused by the mismatch of a duty ratio detection circuit and environmental noise is avoided, and the bit error rate is effectively reduced.

The invention relates to the technical field of life cycle management, in particular to a spinning machine life cycle management system based on a big data model, which comprises a signal analysis module, a pass division module, a state recognition module, a cycle modeling module and a cycle optimization module. According to the method, spinning pressure signals and time sequences are synchronously collected and subjected to peak-valley scanning, pressure fluctuation data are formed, details of the machining process are continuously depicted, pass boundary judgment and section statistical processing are combined, pressure change rules are structurally presented, continuous fluctuation section combination is promoted through consistency verification, and the machining precision is improved. A clear mark is obtained for an implicit operation state, a state transition relation is deduced based on cross-pass occurrence frequency and continuous characteristics, an equipment behavior evolution path tends to be clear, a life cycle result is converted from static recording to dynamic analysis, and after deviation distribution verification and grading adjustment are synchronously introduced, a pressure abnormity trend can be identified in time. The maintenance rhythm and the real working condition are kept coordinated, and the management judgment basis is more coherent.

A system for evaluating the performance of an educational institution, which includes: a data acquisition circuit configured to receive and preprocess input data streams representing institutional metrics in a variety of dimensions, including academic parameters, teaching quality parameters, social context parameters, and economic parameters; a KPI calculation unit operatively coupled to the data acquisition circuit, the KPI calculation unit comprising a plurality of processors and memory components configured to extract and calculate predefined Key Performance Indicators (KPIs) based on dimension-specific rule sets; a statistical processing unit comprising at least one statistical processor embedded in the hardware and configured to perform correlation analyses, multivariate regressions, and principal component analyses for the calculated KPIs; an efficiency modeling unit implemented as a programmable logic module and configured to perform a data envelopment analysis (DEA) to assess the relative efficiency in converting institutional resources into academic and operational outcomes; a composite assessment unit with hardware logic to apply a weighted linear aggregation across the dimension-specific KPI values ​​to generate a final institutional performance index; and a visualization output interface embedded in a graphical rendering circuit and configured to display multidimensional performance counters and system alerts on a dashboard interface.

To perform statistical processing on vital sign data up to now suitable for the characteristics of a target biological individual, to thereby allowing determination of a daily value considering the difference and tendency of data due to the characteristics (body weight, sexuality, past illness and the like) of the individual.SOLUTION: A biological information management system performs: a BS step of continuously or intermittently acquiring vital sign data of a target biological individual by using a sensor directly attached to the biological individual or / and a fixedly installed sensor, and storing the data in a server; an ND step of, by using a processor, extracting data in a resting state satisfying a predetermined setting condition from the stored vital sign data, and performing statistical processing on a data group of the target biological individual in the resting state over a predetermined period as daily value data; and a PN step of displaying real-time display of the current or latest vital sign data for every target biological individual, and the daily value data over the predetermined period or longer, in parallel or in a superimposed state.SELECTED DRAWING: Figure 18

An event data recording section 240 records event data related to an activity executed by a plurality of players. A play time acquisition section 212 acquires play times of the plurality of players for a task from event data indicating start of the task included in the activity and event data indicating end of the task included in the activity, the event data being recorded in the event data recording section 240. A statistical processing section 220 sorts each of the players into any one of a plurality of classes according to a skill value of the player and determines, on a basis of the play times of the plurality of players in each class, a representative value for the play times in each class for the task. The statistical processing section 220 aggregates representative values for each class to determine the representative value for the play times in each class for the activity.

The present invention belongs to the technical field of intelligent vehicle interaction and relates to a steering wheel hands-off detection method and system, and a vehicle. According to the solution, a detection torque of a steering wheel for hands-off detection is obtained during intelligent driving, and the detection torque is compared with a calibration torque to obtain a steering wheel hands-off detection result, wherein the calibration torque is obtained by means of collecting steering wheel torques under the condition that the hands of a driver have been off the steering wheel during the intelligent driving process of a vehicle and performing statistical processing on the steering wheel torques. Since mechanical friction forces of steering systems of different vehicles are different, when torques generated by the mechanical friction forces are superimposed on a steering wheel torque sensor, it is difficult for the same set of software algorithms to be adapted to different vehicles, and thus after mass production, the recognition accuracy of different vehicles is uneven. The present application solves such problem, and improves the accuracy of hands-off detection.

We provide the system. [Solution] A means of receiving voice instructions from a user and converting them into text using speech recognition technology, A means for generating an information gathering task based on the converted text and distributing it to an information sharing device, A means of collecting input from an information sharing device and analyzing the data through statistical processing, Means for providing analysis results to users, An information processing system that includes this.

This application discloses a personalized cold start method and apparatus for recommending items. The method includes: acquiring a new set of items within a specified time period; acquiring a dataset of users' historical click behavior; grouping the new set of items according to item categories, placing items under different categories into their respective sets, and assembling them into a Map; statistically processing the user's click behavior dataset to obtain the number of actions for each user in each category, generating a user category preference dataset; preparing two recommendation lists for each user: a category-personalized item list and a completely random item list; merging the two lists calculated for each user and randomly shuffling them to obtain the user's final recommendation list; and recommending items to the user based on the recommendation list. This application comprehensively considers new item exploration strategies and personalization strategies, while simultaneously addressing two different recommendation objectives. Furthermore, this application also solves the problem of a two-sided cold start.

Provided are an information processing device, an information processing method, a program, and an information processing system, by which formulation of a preferable survey plan for each analysis area in a survey target region is realized. The information processing device acquires map information in which a geographical position and a shape are represented, acquires feature meta-information pertaining to each of one or more features, acquires an aerial image of a survey target region, derives a degree of damage for each of the one or more features on the basis of the map information, the feature meta-information, and the aerial image, statistically processes the degree of damage derived for each of the one or more features included in an analysis area, derives representative information representing the analysis area, and causes the analysis area to be displayed in association with the representative information.

Provided is a method for objectively evaluating the exercise habits and motor function of a subject in a simple and accurate manner. The present invention is characterized by comprising: a measurement step for measuring the RNA expression level of any one of Hif1, PHD3, GLUT1, GLUT3, and MCT4 in leukocytes in a peripheral blood sample of the subject; a cutoff value setting step for creating a receiver operating characteristic (ROC) curve and setting a predetermined cutoff value; and an evaluation step for statistically processing, by a chi-squared test, a boundary for evaluating the presence or absence of an exercise habit, and comparing the RNA expression level of the subject as measured in the measurement step and the cutoff value set in the cutoff value setting step, thereby evaluating the presence or absence of the exercise habit of the subject.

A biological information display device (1, 200) capable of calculating and displaying a statistical value from measurement results of biological information for a plurality of time points, the biological information display device comprising: a display unit (40); an operating unit (41) for receiving an instruction from a user; a storage unit (43) for storing the measurement results of the biological information for the plurality of time points as first measurement results; and a specification control unit (104) for controlling to specify a second measurement result to be used in the calculation of the statistical value from the first measurement results, wherein the specification control unit (104) comprises a specification processing section (116) for specifying the second measurement result based on an instruction received from the operation unit (41) when result information about the first measurement results is displayed, further comprising a first calculation unit (106) for calculating the statistical value with the specified second measurement result, and the display unit (40) displays the calculated statistical value, wherein the specification processing section (116) specifies the measurement result other than the specified measurement result as the second measurement result when the received instruction indicates the specification of data to be eliminated from the first measurement results, and wherein the specification processing section (116) specifies the specified measurement result as the second measurement result when the received instruction indicates the specification of data for calculation from the first measurement results.

The invention provides a method, a device and a system for rapidly analyzing components of direct coal liquefaction oil based on a near infrared spectrogram, the method comprises the following steps: acquiring sample data of the direct coal liquefaction oil, the sample data of the direct coal liquefaction oil comprises near infrared spectrum data of the direct coal liquefaction oil and detailed composition data of sample oil; according to sample data of the direct coal liquefaction oil and a ResNet-34 neural network algorithm, the near infrared spectrum of the liquefied oil with known composition is subjected to statistical treatment, the relationship between the liquefied oil composition and a spectrogram is obtained, then the near infrared spectrum spectrogram of an unknown oil product is identified to predict the composition, and a direct coal liquefaction oil component prediction model is established. The prediction model is at least used for component prediction of the direct coal liquefaction oil; the direct coal liquefaction oil in the production process is analyzed according to the prediction model obtained through training, online analysis can be rapidly and accurately conducted on the direct coal liquefaction oil, and the method can solve the technical problems that in the direct coal liquefaction oil production process, analysis is difficult, and the analysis period is long relative to the production period.

The invention discloses a clustering analysis-combined statistical multi-dimensional data processing system and method, and aims to solve the problems of low quality, poor precision, insufficient value mining and the like of a traditional data processing technology in a multi-dimensional data scene. The system comprises a data acquisition module, a preprocessing module, a clustering analysis module, a statistical processing module, a result output module and a storage module. The method sequentially executes the steps of data acquisition, preprocessing, clustering analysis, statistical processing, result output and storage. In the acquisition stage, data are integrated through a multi-source interface and formats are unified, in the preprocessing stage, abnormal values are removed through the 3 sigma principle, missing values are supplemented through multiple methods, in the clustering stage, the optimal clustering number is determined by depending on a contour coefficient or a Clinski-Harabasz index, in the statistical stage, deep association is mined for all clusters, in the output stage, diversified forms are provided, and in the storage stage, data safety is guaranteed. According to the scheme, data quality and analysis precision are improved, and reliable support is provided for data-driven decision-making of each industry.

The present invention constructs a system for providing time-series data indicating psychological states of learners according to requirements from a data provision destination. This information provision device includes: a storage part for storing time-series data sets which indicate psychological states of learners and are obtained in prescribed time units; a collection part for collecting data sets of items relating to learning activities of the learners and corresponding to the time-series data sets; an extraction part for, when data sets of an item among the data sets of the items relating to the learning activities of the learners are designated by a data provision destination, extracting time-series data sets corresponding to the designated data sets of the item from the plurality of time-series data sets that indicate the psychological states of the learners and that are stored in the storage part; a statistical processing part for statistically processing, in units in which the designated data sets of the item are mutually equal, the time-series data sets extracted by the extraction part; and a provision part for providing, to the data provision destination, information including the statistically processed result.

The present invention calculates an accurate solution in a short time by extracting a partial problem structure from a network optimization problem. A problem solving device according to one embodiment solves a network optimization problem. The problem solving device comprises a processing unit that repeatedly executes first processing, second processing, and third processing. In the first processing, the processing unit classifies each of a plurality of determination variables included in the network optimization problem as a high-impact determination variable or a low-impact determination variable. In the second processing, the processing unit replaces each low-impact determination variable with an estimated value and performs sampling and statistical processing on each high-impact determination variable. In the third processing, the processing unit replaces a determination variable having a strong statistical bias with a value based on the statistical bias on the basis of the results from the sampling and statistical processing.

The application discloses a severe ground spectrum compiling method based on severe fleet damage, which comprises the following steps: inputting the use requirements of an airplane, and outputting the composition and proportion of a mission profile; pre-processing measured load data, wherein the pre-processing comprises filtering and overload standardization; statistically processing the load data to obtain a measured ground overload cumulative overrun number curve family of a taxiing mission section and an overload cyclic peak-valley value of a landing impact mission section; statistically analyzing the damage of a load sequence of each mission profile, taking the damage of each mission profile whose reliability reaches a first preset value as severe damage of each mission profile, and inversely calculating severe ground overload cumulative overrun number curves of the taxiing mission section and each level load of the landing impact mission section corresponding to the severe damage; and compiling a severe ground overload spectrum. The severe spectrum compiled by the method can significantly reduce the test time and can fully expose the use cracks.

The invention discloses a motor stator and rotor magnetostatic multi-dimensional shape and position analysis and evaluation method and device, and the method comprises the steps: fixing a motor stator in a magnetostatic state, employing a four-quadrant orthogonal loading mechanism, manually applying an axial / radial combined load to a rotor, simulating the load of the motor in actual work, fixedly connecting a laser to the output shaft of the rotor, and carrying out the measurement of the output shaft of the rotor. And the laser is used for imaging on the photosensitive imaging plate and drawing the rotating track of the rotor. For the load in each direction, the inclination angle theta i of the stator and the rotor of the motor is calculated according to the laser imaging track; and according to the time difference and the position difference of the laser imaging points before and after the load is applied, the axial offset delta Xi and the radial eccentric distance delta Yi are calculated. The system performs statistical processing on four-direction load data through an adaptive weighting algorithm, and outputs a form and position deviation mean value # imgabs0 # # imgabs1 # to establish a method for evaluating the form and position of the stator and the rotor of the motor. According to the invention, high-precision synchronous detection of the multi-dimensional form and position deviation of the stator and the rotor is creatively realized in a static magnetic state.

The embodiment of the invention provides a load spectrum compilation method and device of a hybrid gearbox and computer equipment. The hybrid gearbox comprises a plurality of power sources, the power sources comprise a driving motor, an engine and a generator, and the method comprises the steps that filtering processing is conducted on obtained simulation load data of each power source, and filtering data are generated; performing rain flow statistical processing on the filtered data to generate an original load spectrum rain flow matrix graph of the hybrid gearbox; extrapolating the original load spectrum rain flow matrix graph to generate an extrapolated load spectrum rain flow matrix graph of the hybrid gearbox; and processing the cycle index of each torque data of the extrapolated load spectrum rain flow matrix graph to generate a design load spectrum of the hybrid gearbox. According to the technical scheme provided by the embodiment of the invention, by carrying out simulation analysis on each power source and carrying out rain flow statistical processing and extrapolation processing on the simulation load data, the time cost and the working difficulty of obtaining the load spectrum of the hybrid gearbox can be reduced, and the accuracy and the efficiency are improved.

The embodiment of the invention relates to the technical field of instrument data control, and discloses a non-invasive electrode closed-loop feedback stellate ganglion block electrical stimulation device. According to the device, a control module carries out closed-loop control processing on initial stimulation parameters and carries out adjustment processing on stimulation frequency and intensity to obtain an optimal control parameter combination; the acquisition module performs multi-dimensional acquisition processing on the physiological parameters to obtain a monitoring data set and performs threshold judgment processing to obtain a stimulation control instruction; the analysis module performs dynamic analysis processing on the monitoring data in the stimulation process to obtain a parameter adjustment strategy, and performs optimization processing on the stimulation parameters according to the parameter adjustment strategy to obtain steady-state control parameters; and the evaluation module carries out integration analysis processing on the control process data to obtain a working state evaluation index, and carries out classified statistical processing according to the evaluation index to obtain a parameter optimization suggestion. According to the invention, adaptive adjustment of the stimulation parameters and intelligent evaluation of the system operation state are realized.

The present disclosure provides a video coding method, device, electronic equipment, storage medium, program product and method for generating a bitstream, the video coding method comprising: obtaining coding information of a current video frame after mode decision, wherein the current video frame is divided into a plurality of coding tree units, each coding tree unit comprising a plurality of coding units, and the coding information comprising information of preset coding variables of each coding unit; for each coding tree unit, performing the following processing: performing statistical processing on the information of the preset coding variables of each coding unit in the current coding tree unit to obtain a coding information statistical value; determining a quantization parameter increment according to the coding information statistical value and a mapping relationship function, wherein the mapping relationship function is used to specify a mapping relationship between the coding information statistical value and the quantization parameter increment; and encoding the current coding tree unit based on the determined quantization parameter increment. The method can simplify the calculation of the quantization parameter increment and optimize the coding efficiency.

To provide a beverage drinking record system that supports beverage drinking culture of a user.SOLUTION: A beverage drinking record system 10 includes: a user information acquisition unit 28 that acquires user attribute information including a group identifier; a beverage ingestion record reception unit 28a that receives a beverage ingestion record; a storage unit 26 that stores the beverage ingestion record; a statistical processing unit 30a that performs statistical processing on ingestion records of two or more beverages within a predetermined period; an intake quantity output unit 38a that outputs, on the basis of a result of the statistical processing, an ingestion quantity of a predetermined component contained in an ingested drink to a user terminal 16; and a content distribution unit 38 that selects, on the basis of the result of the statistical processing, content information related to the beverage and distributes the selected content information to the user terminal 16. The beverage ingestion record reception unit 28a receives image information 18 photographed by a user at time of ingesting a beverage and / or information regarding emotion of the user.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a data processing method and related equipment, and the method comprises the steps: receiving an audio data packet transmitted by first equipment in a real-time communication process between the first equipment and second equipment; the first delay information included in the audio data packet is used for indicating the delay generated by the audio signal at each transmission processing stage experienced by the first equipment side in the transmission process according to the audio link; performing delay statistical processing according to the audio data packet to obtain second delay information of the audio signal; the second delay information is used for indicating delays generated in each receiving processing stage experienced by the second equipment side in the process of transmitting the audio signal according to the audio link; and integrating the first delay information of the audio signal and the second delay information of the audio signal to obtain a target audio delay. Therefore, the method is not limited by the use scene and the use scale, is high in universality, and can improve the accuracy and comprehensiveness of the delay data.

This invention discloses a real-time intelligent monitoring processing method and system based on edge computing, comprising the following steps: acquiring edge monitoring data and processing it to obtain an identifiable monitoring video stream; performing segmentation and standardization processing to obtain a standardized candidate video segment set; performing lightweight visual feature extraction to obtain a segment-level visual feature sequence; generating edge inference gating parameters based on the edge monitoring data; obtaining a segment anomaly score sequence based on an edge-gated lightweight anomaly segment localization network; generating a scene adaptive judgment threshold and correcting it to obtain a corrected segment anomaly score sequence; determining the anomaly segment localization result and statistically processing it to obtain anomaly segment statistical features and generate a segment risk level; extracting anomaly video segments from the standardized candidate video segment set and obtaining the intelligent monitoring real-time processing result based on the segment risk level. This invention utilizes edge inference gating to achieve anomaly segment localization, possessing the advantages of low latency, low bandwidth, and high stability.

The application relates to the technical field of region division, and discloses a region division method, system, terminal and storage medium based on edge segmentation and clustering analysis, the method comprising the following steps: obtaining a target building of a target region, performing statistical processing on the grid flow of the target building, performing edge segmentation, and obtaining an initial division result; constructing a boundary buffer zone, performing gradient calculation to obtain gradient data, and performing position correction on boundary nodes of an initial spatial boundary to obtain a division optimization result; performing region clustering processing on the division optimization result according to clustering parameters to obtain a clustering result, and performing screening processing on the clustering result to obtain a target clustering result; and performing smoothing optimization on the boundary of all clustering regions of all levels in the target clustering result to obtain a target division result. Through integrated processing of initial grading, edge correction, density clustering and geometric smoothing, the stability of data statistics and the accuracy of the division result are improved.

The present invention discloses a stress testing method and device based on Jmeter threads, relating to the technical field of stress testing. A specific embodiment of the method includes: determining the direct-connected devices to be simulated by each Jmeter thread, obtaining the attribute information of each direct-connected device and the running information of the sub-devices mounted under each direct-connected device; through multiple Jmeter threads, transmitting the running information of each direct-connected device and the running information of each sub-device to the server for statistical processing; repeating multiple rounds of loops to determine the maximum number of direct-connected devices and the maximum number of sub-devices that the server can accommodate according to the maximum number of running information that the server can statistically process. This embodiment improves and breaks through the original jmeter-mqtt plug-in, upgrading the simulation of an ordinary device by one thread to the simulation of complex direct-connected devices (including sub-devices), ensuring the feasibility of complex business performance testing, and no longer considering device classification.

The difference between a plurality of road surface reflection levels detected by a plurality of object detection apparatuses mounted to a vehicle is calculated, and when the difference exceeds a range of values determined in advance, a control apparatus determines that there is an abnormality in any of the plurality of object detection apparatuses. Accordingly, without causing statistical processing to be complicated, occurrence of an abnormality in the object detection apparatus can be determined less erroneously than before.

The application provides a high duty cycle signal discrimination and suppression method for a wide bandwidth space receiver, comprising the following steps: step 1, background noise statistical processing; step 2, amplitude calculation and peak searching processing; step 3, peak signal space resolution; step 4, single beat statistical quantity generation; step 5, multi-beat statistical quantity generation; step 6, duty cycle calculation and cross-frequency point merging; step 7, high duty cycle signal judgment; and step 8, high duty cycle signal suppression threshold generation and output. The high duty cycle signal discrimination result and the high duty cycle signal suppression threshold generated by the application play a role before the generation of the pulse level detection result, are a beneficial supplement to the traditional background noise statistical threshold and the CFAR threshold, can filter out the high duty cycle signal in the pulse detection stage, can greatly reduce the processing pressure of the subsequent pulse pretreatment and signal sorting, and can improve the interception quality of the receiver to the normal radar pulse signal.