336 results about "Statistical processing" patented technology

The invention provides a tunnel construction monitoring analysis method and system based on AI video monitoring, and relates to the technical field of artificial intelligence. A tunnel construction original video stream data set is acquired through a multi-view video acquisition device, and a spatio-temporal feature sequence is generated through spatio-temporal feature fusion processing; the spatiotemporal feature unit comprises a pixel region movement track, a personnel wearing identifier and a construction equipment contour feature, then extracting dynamic features of the spatiotemporal feature sequence to obtain a dynamic spatiotemporal feature set, and executing construction personnel statistical processing based on the dynamic spatiotemporal feature set; generating a hole entering personnel quantity statistical result, a personnel distribution statistical result of each construction part and a personnel identity matching result, performing work efficiency comparative analysis according to the personnel statistical result and a preset construction progress plan, and generating a construction progress deviation index and resource allocation optimization strategy; and when the progress deviation index exceeds the first threshold value, early warning is triggered, and a strategy is output to the management terminal, so that effective monitoring and management of tunnel construction are realized.

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 discloses a while-drilling azimuth electromagnetic wave logging information real-time inversion method, and relates to the technical field of oil exploration and development, and the method comprises the steps: building various horizontal stratum models, carrying out logging forward modeling, and obtaining a response signal library; based on the response signal library, designing a while-drilling azimuth electromagnetic wave logging inversion model; inputting logging information, and automatically processing the information by using a zoom fidelity method; a neural network algorithm is introduced, a stratigraphic model integration multi-initial-value strategy is established, and initial value optimization is carried out for actual logging information; on the basis of a regularization gradient optimization algorithm and the initial value, upper / lower interface positions and resistivity distribution of the instrument are extracted in real time; and carrying out statistical processing on multiple groups of inversion results to obtain a final stratum model and the credibility of each inversion parameter. According to the method, the problems that while-drilling electromagnetic wave logging information is significant in difference, the target function changes severely and the minimum values are multiple can be solved, and a constraint and optimization method is provided for inversion initial value selection.

The invention relates to the technical field of chip data analysis, in particular to a commercial password capability detection method and system for an FPGA chip, and the method comprises the following steps: carrying out the statistical processing of the collected random data based on the random data collected in real time in a secret key generation process, calculating the entropy value of an information bit according to the probability distribution, and generating an entropy value distribution result. According to the method, statistical processing and probability distribution analysis are carried out through random voltage fluctuation, clock jitter, thermal noise and other data which are collected in real time, real-time safety protection in a commercial password environment is further achieved by dynamically adjusting the entropy value and the insertion frequency and position of an interference signal, and the real-time safety protection of the commercial password environment is achieved by detecting the entropy value fluctuation characteristic in a specified time period. Insertion parameters of potential interference signals can be effectively identified, and key signal characteristics such as power consumption and electromagnetic radiation are covered by optimizing the intensity and time sequence distribution of the interference signals, so that information in a commercial secret operation period is more difficult to obtain through side channel analysis.

The embodiment of the invention provides a big data bucket query method and device, electronic equipment and a storage medium, and belongs to the technical field of digital medical treatment. The method comprises the steps that query information is obtained, and the query information comprises an index name, user data and a query condition; when the query condition is discrete query, performing statistical processing on the user data to obtain a dimension value of an index name; when the dimension value is greater than a preset dimension threshold value, performing bucket dividing processing on the query condition, and updating the query condition; generating bucket query statements according to the query conditions, and sending the bucket query statements to a database; and receiving a data query result returned by the database. According to the embodiment of the invention, the bucket query statements meeting the dimension threshold can be automatically generated according to different query conditions and dimension values thereof, the reference value of a big data query result is improved, the situation that data statistics is too dispersed is avoided, and the accuracy and timeliness of data query are improved.

The invention relates to the technical field of chip statistical counting, and discloses a statistical counting chip and a statistical counting method, and the chip comprises a statistical module which comprises at least one statistical unit, and each statistical unit comprises a preset number of counters; the cache module is used for storing the statistical count value of each counter; and the statistical processing module is used for sequentially polling each counter, reading the counting value of the current counter when polling the current counter, obtaining the statistical counting value corresponding to the current counter from the cache module, and writing the sum of the statistical counting value and the counting value back to the cache module after calculating the sum of the statistical counting value and the counting value so as to update the statistical counting value of the current counter. And the counting value in the current counter is reset. Through a counter + ram resource hybrid statistics architecture, resource consumption caused by counter resources with large bit width can be greatly reduced, statistical performance is not lost, EDA layout and wiring are facilitated, and a large number of statistical counting time sequences are easier to converge.

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.

A navigation method using a plurality of pseudo-measurements obtained from satellite signals, the method implementing a Kalman filter bank having a main filter calculating a main navigation solution from the pseudo-measurements originating from satellites, and sub-filters each calculating a secondary navigation solution, and at least one innovation of the pseudo-measurements for each non-excluded satellite and a cross-innovation. An indicator is determined from the sensitivity of the cross-innovation to the innovations of the non-excluded pseudo-measurements. A corresponding navigation system and to a vehicle equipped with same are also provided.

The invention is suitable for the technical field of data processing, and provides an education evaluation report generation method and system, and the system comprises a data management module which is used for obtaining the data of evaluation indexes in each evaluation item in an evaluation report, and obtaining the index data; the index management module is used for adjusting the evaluation index and the weight thereof, and performing statistical processing on the index data according to the evaluation index and the weight thereof to obtain statistical data; the template management module is used for filling the index data into a Prompt template and inputting the filled Prompt template into a large language model, and the large language model analyzes facts reflected by the index data based on cue words in the Prompt template to obtain analysis content; and the report generation module is used for integrating the analysis content and the statistical data into an evaluation report template to obtain a target evaluation report. The large language model is used for deep data analysis, the evaluation report is generated, the report generation time is remarkably shortened, and manual errors and subjective deviations are reduced.

A data analysis device (1) comprises: an acquisition unit (110) for acquiring target data, which is unstructured data pertaining to a product, and quality information indicating the quality of the product; a feature amount vector extraction unit (140) for inputting target data to each of a plurality of neural network models for analyzing unstructured data, extracting a plurality of feature maps calculated by a plurality of intermediate layers included respectively in the plurality of neural network models, and using the plurality of extracted feature maps to generate a quality map indicating the quality of the product represented in the unstructured data; and an integration unit (150) for generating an integrated map by performing statistical processing on a plurality of quality maps, including said quality map.

The invention belongs to the technical field of laser communication, and particularly relates to a flexible and configurable laser communication terminal test system and method. The system comprises a calculation module used for controlling a test flow, checking a system state and a test result, and carrying out comparative analysis, statistical processing and local storage on test data; the clock module is used for internal and external clock switching and frequency multiplication output; the interface module is used for low-speed data communication, sending out an OC pulse signal at the same time, completing power-on, power-off and reset operation of the laser communication terminal, and providing dynamic and static 1PPS signals; the digital module is used for performing high-speed data processing, completing coding and modulation of a laser inter-satellite link signal transmission frame, and demodulation and decoding of a laser inter-satellite link signal information frame and a ranging frame, and sending the decoded data to the calculation module for subsequent analysis; and the optical module is used for providing a laser light source and completing mutual conversion between light and an electric signal and light emitting and receiving functions of multiple modulation modes.

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.

An information processing device includes: a first feature value extracting unit extracting a feature value of input data; a first probability calculating unit performing inference on the input data based on the feature value, and calculates a probability to classify the input data into each of a first number of classes; and a first classification unit classifying the input data into at least one of the first number of classes based on the probability. The first classification unit rearranges the input data so that the probability is in ascending or descending order, extracts a label having a maximum probability from the rearranged input data, compares the label having the maximum probability with a correct answer label, stores a class in which the labels coincide with each other, stores a class in which the labels do not coincide with each other, and statistically processes the stored classes.

The embodiment of the invention provides a method for dynamically determining a concentration change high-value threshold value and a pollutant high-value concentration threshold value. The concentration change high-value threshold value determination method comprises the following steps: performing difference processing of adjacent pollutant concentrations on a historical pollutant concentration sequence to obtain a difference concentration sequence, and extracting a time interval difference concentration sequence; performing mathematical statistical processing on the time interval difference concentration sequence, and determining a target time interval statistical mean value and a target time interval statistical standard deviation; determining a first concentration change high value threshold value based on the target time period statistical mean value and the target time period statistical standard deviation; a trusted concentration change high threshold for the same target period is determined based on the first concentration change high threshold. By adopting the scheme of the embodiment of the invention, the corresponding concentration change high value threshold value can be obtained for each target time period, so that the concentration change high value threshold value for the specific time period is matched with the time period characteristic and the time period characteristic for the specific time period, and the abnormal high value in the corresponding time period can be better identified.

Reference data which is measurement values obtained by measuring reference workpieces satisfying an inspection standard is acquired. Averaged data is calculated by performing statistical processing on the reference data. It is determined whether an inspection workpiece satisfies the inspection standard by comparing a determination value set in accordance with the inspection standard with a deviation degree between the averaged data and measurement data which is measurement values obtained by measuring the inspection workpiece.

The invention discloses a method for identifying rain clutters by a navigation radar, which comprises the following steps of: identifying a large echo region, and filtering radar echoes by using a basic detection curve to obtain a large echo region image; large echo region feature value calculation, including average signal-to-clutter ratio feature value calculation and rectangularity feature value calculation, to obtain a corresponding average signal-to-clutter ratio feature value and rectangularity; according to the method, the rain clutter region is identified by using the average signal-to-clutter ratio characteristic value and the rectangularity according to a set threshold value, if the identified rain clutter region is subjected to subsequent statistical processing, a relatively accurate automatic rain clutter adjustment parameter can be given, and if the rain clutter region is not identified in the current scene, the automatic rain clutter adjustment parameter can be 0. According to the method for identifying the rain clutter through the navigation radar, the rain clutter echo can be correctly identified in the echo received by the radar, and then data support is provided for automatic giving of follow-up rain clutter adjusting parameters.

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.

The invention provides an automobile display screen brightness adjusting system and method and an automobile, and relates to the technical field of automobile display, and the adjusting system comprises a light sensing unit which is used for periodically collecting the forward light intensity and the longitudinal light intensity of the automobile; the processing unit is used for calculating and generating corresponding ambient light intensity according to the forward light intensity and the longitudinal light intensity of the same period, performing statistical processing on all the ambient light intensity, and generating a corresponding brightness adjusting instruction according to a statistical result; and the screen control unit is used for adjusting the display brightness of a plurality of vehicle-mounted screens according to the brightness adjusting instruction. The situation that the screen brightness frequently jumps along with the change of ambient light is reduced, visual fatigue can be reduced, and the safety accident risk is effectively avoided.

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

The invention relates to the technical field of AC power distribution network electrical load prediction, and discloses a big data-based user-side electrical load intelligent prediction system and method, and the system comprises a user-side historical electrical load information acquisition module, a user-side electrical load prediction metering module, and a user-side electrical load prediction result evaluation module. Based on user side target monthly historical electrical load parameters and in combination with numerical analysis, accurate statistical processing of a user side target monthly historical electrical load growth rate and a user side electrical load predicted monthly electrical load growth rate is realized; according to the electrical load growth rate parameter of the electrical load prediction month of the user side and the target single-month historical electrical load parameter of the user side, the electrical load of the electrical load prediction month of the user side is accurately counted, and the precision and accuracy of the electrical load prediction result of the user side are improved.

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.

By statistically processing vital sign data up to now in accordance with the characteristics of the individual subject, it is possible to determine daily values ​​taking into account differences and trends in data due to individual characteristics (weight, sex, medical history, etc.). [Solution] The system includes a BS step in which vital sign data of the target organism is continuously or intermittently acquired using a sensor attached directly to the target organism and / or a fixedly installed sensor, and stored in a server; an ND step in which a processing device extracts resting state data that satisfies predetermined set conditions from the stored vital sign data, and statistically processes a group of data for the target organism's resting state over a predetermined period as daily value data; and a PN step in which current or most recent vital sign data for each target organism is displayed in real time, and daily value data for a period of at least a predetermined period is displayed in parallel or superimposed fashion.

An assist system in one embodiment includes at least one processor. The at least one processor: obtains target data indicating a target user viewpoint movement on a screen displaying target content; refers to a storage unit storing correlation data indicating a correlation between a user viewpoint movement and a user understanding level for content and assist information corresponding to the user understanding level for the content, wherein the correlation data is obtained through statistical processing of a plurality of sets of sample data obtained from a plurality of sample users, each of the plurality of sets of sample data indicating a pair of: a viewpoint movement of a sample user among the plurality of the sample users having visually recognized the sample content; and an understanding level of the sample user for the sample content; estimates a target user understanding level based on the target data and the correlation data; and outputs the assist information corresponding to the target user understanding level estimated.

To enable stable detection of an object where the difference in signal amount is small depending on whether the object is present.SOLUTION: A sensor includes a light receiving unit 4, a correction value calculation unit 8 that performs statistical processing on the amount of light received by the light receiving unit 4 during a period in which the dispersion of the amount of light received by the light receiving unit 4 is below a dispersion threshold value and calculates a correction value for correcting long-term fluctuations in the amount of light received, a correction unit 9 that corrects the amount of light received using the correction value, and a determination unit 7 that detects the presence or approach of an object by comparing the amount of light received corrected by the correction unit 9 with the light receiving amount threshold value.SELECTED DRAWING: Figure 1

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.