23 results about "Statistical function" patented technology

Systems and methods are disclosed to implement a distributed query execution system that performs statistical operations on specified time windows over time-based datasets. In embodiments, the query system splits a statistical function into a set of parallel accumulator tasks that correspond to different portions of the dataset and / or function time windows. The accumulator tasks are executed in parallel by individual accumulator nodes to generate individual statistical result structures. The structures are then combined by an aggregator node to produce an aggregate result structure that indicates the results of the statistical function over the time windows. In embodiments, the accumulator and aggregator tasks are implemented and executed using a programmable task execution framework that allows developers to define custom accumulator and aggregator tasks. Advantageously, the query system allows queries with time-windowed statistical functions to be parallelized across a group of worker nodes and scaled to very large datasets.

The application discloses a kind of industrial control system vulnerability evaluation methods, comprising: constructing several minimum check units for industrial control system vulnerability evaluation, each minimum check unit is configured evaluation function and the core check item of industrial control system, and the statistical function and weight parameter are configured for each core check item;Each minimum check unit is executed, and the check result of minimum check unit is evaluated by evaluation function, and the evaluation score corresponding to each minimum check unit is obtained;According to the statistical function corresponding to each core check item, the evaluation score of corresponding minimum check unit is processed, and the statistical score of each core check item is obtained, and the vulnerability score is calculated according to the statistical score of each core check item and weight parameter, and then the vulnerability of industrial control system is evaluated according to the vulnerability score, which can evaluate the vulnerability of industrial control system.

A method for deriving shared secret information between a first device (A) and a second device (B) is disclosed. The method comprises the following steps: acquiring a data set DA by equipment A; and obtaining, by the device B, a data set DB. Then, for respective N subsets DAi and DBi (i = 1, 2,..., N; ngt; the method comprises the steps of: determining, by a device A, a first value VAi = MA (DAi) based on DAi, where MA comprises an entropy reduction function and / or a statistical function; determining, by the device B, a second value VBi = MB (DBi based on DBi, where MB comprises an entropy reduction function and / or a statistical function; and exchanging one or more messages between the device A and the device B to determine whether a condition based on the first value VAi and the second value VBi is satisfied. The method further comprises obtaining, by the device A, a simplified data set DA'based on the subsets DAi satisfying the condition; and obtaining, by the device B, a simplified dataset DB 'based on the subsets DBi satisfying the condition. The method may further comprise repeating the steps of determining, exchanging and obtaining the simplified dataset one or more times until one or more termination criteria are satisfied, where the dataset used in one iteration comprises the simplified dataset obtained in the previous iteration.

The application discloses an interpretable heart sound anomaly recognition method and system based on a fractional domain Fourier transform, which comprises preprocessing, feature extraction, model establishment and model interpretation. The preprocessing comprises shearing, downsampling, filtering, amplitude normalization, heart cycle segmentation, frame segmentation and windowing in sequence; the feature extraction is configured to firstly perform fractional domain Fourier transform on the preprocessed heart sound, then extract frame-level Shannon entropy features of one-dimensional fractional domain heart sound signals, and calculate 13 statistical functions on the frame-level features as final features; the model establishment selects an XGBoost classifier; and the model interpretation selects a SHAP (SHapley Additive exPlanation) interpretation model. The application is easy to realize, simple in method, low in feature dimension, fast in model fitting, and has model prediction interpretability.

The application discloses a UAV detection method for a tree barrier in a distribution network and a related device. Based on the idea of statistical function parameter estimation, two-dimensional point cloud data collected by a single laser radar is merged into three-dimensional point cloud data. On the basis of the three-dimensional point cloud data, an improved DBSCAN clustering algorithm is used to achieve high-precision clustering effect. The number of nearest neighbor point clouds of the DBSCAN clustering algorithm does not need to be manually set, the manual trial and error cost is reduced, tree barrier misjudgment is reduced, and tree barrier detection accuracy is improved. Thus, the technical problems of the prior art, such as the need for manual selection of the number of nearest neighbor point clouds, the inability to adaptively adjust parameters to data, low tree barrier detection accuracy, and low efficiency, are solved.

The invention discloses a firmware code coverage rate statistical method and electronic equipment, and relates to the technical field of program detection.The firmware code coverage rate statistical method comprises the steps that in response to a first script construction command, an automatic script is called to insert a stake point code in a firmware code file, and the stake point code comprises a file index, a statistical function and a macro definition, a first array created by the macro definition records a code line number and execution times, and a second array created by the macro definition records a file index, a line number limit value and a first array address; when the firmware code file is operated, a statistical function is called when the stake point position is executed, the statistical function counts executed codes in the firmware code file according to the first array and the second array, and the firmware coverage rate is calculated by combining the executed codes and the total code of the firmware code file; the problem that the operation performance is affected due to the fact that a large amount of storage and memory are occupied in the prior art is solved, and the technical effects that firmware resource occupation is reduced, and the firmware operation performance is not affected are achieved.

The invention discloses an intelligent socket integrated with electric energy recording and counting functions and an operation method thereof, and relates to the technical field of intelligent electric appliances. The intelligent socket comprises a sensor unit, a data processing and executing unit and a storage unit. The method comprises the steps that a sensor unit collects voltage and current waveform data and generates original sampling data with a timestamp; the data processing and executing unit preprocesses and extracts features, and standardized data is generated through fusion; then, identifying load types by adopting an edge lightweight classification method, dynamically updating an energy consumption mode in combination with a federal incremental learning strategy, generating an energy consumption statistical result and an anomaly detection result, outputting an energy-saving prompt and a corresponding safety protection signal, summarizing the energy-saving prompt and the corresponding safety protection signal into a comprehensive judgment result, and executing corresponding operation; and the storage unit generates a periodic energy consumption statistical report and an operation log. According to the invention, electric energy can be accurately recorded and counted, energy-saving and safe operation can be executed in a targeted manner, and diversified power utilization management requirements of users are met.

The invention relates to a message unloading path troubleshooting method, which is applied to a network card. The network card comprises a system on chip and a hardware field programmable gate array; a data processing software program runs in the system on chip; a first statistical function is arranged in a message interaction interface of the data processing software program and the hardware field programmable gate array; a second statistical function is arranged in a flow table unloading cache interface of the system on chip; the method comprises the steps of obtaining first software and hardware interaction data obtained based on statistics of a first statistical function; acquiring software flow table unloading data obtained based on statistics of the second statistical function; comparing the first software and hardware interaction data with second software and hardware interaction data in a hardware field programmable gate array to obtain a first comparison result; comparing the software flow table unloading data with hardware flow table unloading data in the hardware field programmable gate array to obtain a second comparison result; and determining an abnormal node from the message unloading path based on the first comparison result and the second comparison result. By adopting the method, the troubleshooting efficiency can be improved.

The invention provides an object storage monitoring method, and belongs to the technical field of monitoring storage, and the method comprises the steps: 1, obtaining a monitoring demand of a storage system, and obtaining a corresponding distributed monitoring tool; 2, configuring a proper monitoring rule based on an actual storage service scene according to a distributed monitoring tool, and detecting a plurality of statistical functions of the file system in real time; 3, acquiring real-time performance data of the storage system according to the plurality of statistical functions, and monitoring the working state of the storage system in real time; 4, determining the health condition of object storage according to the working state, and obtaining the abnormity and potential reasons of the storage system; and step 5, carrying out object storage early warning notification according to the abnormity and the potential reasons, and realizing object storage monitoring. The problems that real-time data of a storage system cannot be obtained, the reliability of object storage is reduced, meanwhile, the health condition of object storage cannot be accurately checked, and the real-time monitoring and abnormal condition coping capacity of maintenance personnel on the stored data is reduced are solved.

The invention belongs to the field of database maintenance, and discloses a method and a related system for rapid data statistics of industrial time series data, which realize standardization and structuring of statistical logic by analyzing a customer data statistical request, extracting a tag name and a statistical task. Semantic differences of different databases in the aspects of statistical functions, aggregation rules, time window definitions and the like are avoided, and statistical tasks can be executed in a unified logic model. According to the method, the statistical task is divided into a plurality of time periods according to the time region, so that the system can independently execute statistical operation in different time windows. The sectional calculation not only improves the parallel calculation efficiency, but also avoids the deviation caused by different time index precisions of the bottom layer of the database, and effectively ensures the consistency and comparability of statistical results.

The state determining device (1) has: a data obtaining section (100) that obtains predetermined physical quantity-related data as data representing a state related to an injection molding machine (4); a characteristic quantity calculating section (110) that calculates a characteristic quantity representing a characteristic of the state of the injection molding machine (4) from the physical quantity-related data; a statistical data calculating section (120) that calculates a statistical quantity as statistical data in accordance with a statistical condition that includes at least a statistical function for calculating a predetermined statistical quantity from a predetermined characteristic quantity; and a state determining section (140) that determines the state of the injection molding machine (4) from variations in a plurality of successive statistical data.

The embodiment of the invention provides a chip with a performance statistics function, a method and electronic equipment, the chip comprises a parallel processor and a performance statistics module, the performance statistics module comprises a parameter configuration unit, a performance statistics unit and a read-out control unit, the parameter configuration unit is used for receiving performance statistics parameters and reading out the performance statistics parameters, and the read-out control unit is used for reading out the performance statistics parameters. The performance statistics parameters are used for indicating identifiers of N calculation units needing performance statistics; the performance statistical unit is used for acquiring N groups of events generated when the N computing units in the parallel processor run on the basis of the performance statistical parameters, and performing statistics to obtain corresponding N groups of performance data; and the read-out control unit is used for transferring the N groups of performance data to an external memory outside the chip. By adopting the chip, the flexibility and the accuracy of performing performance statistics on the parallel processor can be improved.

The present invention discloses an advertisement flow control method, system and medium. The advertisement flow control method comprises the following steps: obtaining a delivery threshold, configuring a statistical function, and setting a first statistical time period; obtaining flow data within the first statistical time period, and obtaining a flow distribution curve based on the statistical function and the flow data; setting a second statistical time period based on the flow distribution curve, and calculating a first flow value within the second statistical time period based on the flow distribution curve; obtaining a second flow value, and calculating a flow control threshold based on the first flow value, the second flow value and the delivery threshold; controlling the online flow value of the advertisement based on the second statistical time period and the flow control threshold; the present invention can control the advertisement flow in real time, and evenly distribute the advertisement flow in each time period of each day, so as to maximize the revenue of online advertisements, reduce the cost of advertisement flow control, and make up for the shortcomings of the prior art.

The method provides for detecting at least one operating parameter of a functional unit of the device and calculating the current value of at least a first statistical function of the operating parameter in a current time window, the current value of the first statistical function defining a first coordinate of a point of current operation of the functional unit. A step is also provided for verifying whether the point of current operation is within a range of permissible values ​​of the first statistical function, the values ​​contained in the range of permissible values ​​corresponding to the correct operation of the functional unit. If the point of current operation is outside the range of permissible values, then determining the position of the point of current operation relative to the range of permissible values ​​and providing a statistical diagnosis of the cause of the deviation of the current value from the range of permissible values ​​based on the position.

The present invention provides an object storage monitoring method, belonging to the field of storage monitoring technology, comprising: step 1: obtaining monitoring requirements of a storage system and obtaining a corresponding distributed monitoring tool; step 2: configuring appropriate monitoring rules based on the distributed monitoring tool and actual storage business scenarios, and detecting multiple statistical functions of the file system in real time; step 3: obtaining real-time performance data of the storage system based on the multiple statistical functions, and monitoring the working status of the storage system in real time; step 4: determining the health of the object storage based on the working status, obtaining abnormalities and potential causes of the storage system; and step 5: issuing object storage early warning notifications based on the abnormalities and potential causes, thereby realizing object storage monitoring. This method solves the problem of being unable to obtain real-time data from the storage system, which reduces the reliability of the object storage, and simultaneously, being unable to accurately check the health of the object storage, which reduces the maintenance personnel's ability to monitor the storage data in real time and respond to abnormal situations.

The invention discloses a high-efficiency disease information management index data eliminating method which comprises the following steps: S1, a statistical template is in an excel workbook form, a statistical method is that an excel table has a statistical function, and the template is composed of a statistical index summary table and a plurality of data source tables; s2, data indexes in the summary sheet are collectively called as first-level indexes; the method is easy and convenient to operate and high in efficiency, the statistical template gathers all statistical functions needing to be used into an excel workbook, the format of exported data of an existing information management system serves as a core, a user only pastes a corresponding excel table to a specified position of the template according to requirements and clicks all refreshes, the template can automatically complete data updating and statistical work, and the statistical efficiency is greatly improved. The statistical workload of the user is greatly reduced and simplified, the statistical time is greatly shortened to 0.5-1 day through feedback after application of the provincial level and 16 cities, and the working efficiency is greatly improved compared with the previous several days or even longer time.

This invention relates to the field of data processing technology, and discloses a method, system, terminal, and storage medium for dynamic slideshow updates based on user instructions and custom templates. The method includes: analyzing the slideshow page to obtain visual prediction boxes and underlying object boxes, and matching them to obtain geometric objects; determining the statistical functions of the geometric objects in a finite function library, and extracting specific parameters from the statistical functions; decomposing and reorganizing the geometric objects to obtain corresponding computational pipelines; extracting keywords from language instructions to determine specific parameters and computational pipelines; and constructing a target slideshow file based on the specific parameters, computational pipelines, and updated data. This invention, by reconstructing the computational logic, achieves a fully automated closed loop of instruction parsing, data recalculation, and rendering generation, enabling end-to-end linked updates of data, charts, and textual conclusions. This ensures that the updated textual summary accurately reflects the trend of the new data and significantly reduces the labor costs of maintaining periodic reports.

Embodiments of the present application provide a chip, a method and an electronic device with performance statistics function. The chip comprises a parallel processor and a performance statistics module. The performance statistics module comprises a parameter configuration unit, a performance statistics unit and a readout control unit. The parameter configuration unit is configured to receive a performance statistics parameter, which is used to indicate the identification of N computing units that need to perform performance statistics. The performance statistics unit is configured to obtain N groups of events generated by the N computing units in the parallel processor based on the performance statistics parameter, and obtain corresponding N groups of performance data by statistics. The readout control unit is configured to store the N groups of performance data to an external memory located outside the chip. The chip can improve the flexibility and accuracy of performance statistics of the parallel processor.

The present invention discloses a method, device and system for pipeline leakage judgment. The method for pipeline leakage judgment includes: obtaining multiple groups of pipeline leakage detection data, calculating the maximum value of the pipeline leakage point area according to the pipeline leakage detection data; determining error terms corresponding to each group of pipeline leakage detection data respectively according to the pipeline leakage detection data; obtaining a pipeline model, generating pipeline leakage detection sample data according to the pipeline model and the error terms; generating an empirical distribution model according to the pipeline leakage detection sample data, resampling the pipeline leakage detection sample data based on the empirical distribution model to generate pipeline leakage detection resampled sample data; generating a pipeline leakage point area statistical value based on the pipeline leakage detection resampled sample data, and generating a pipeline leakage point area statistical function according to the pipeline leakage point area statistical value; determining whether the pipeline leaks according to the maximum value of the pipeline leakage point area and the pipeline leakage point area statistical function.

The invention provides a statistical method and system for structured data in streaming processing and electronic equipment, and relates to the technical field of data processing.The statistical method comprises the steps that the structured data of a streaming processing system are obtained, and a statistical strategy corresponding to the structured data is configured based on the format attribute structure of the structured data; performing statistical conversion on each piece of structured data according to the target statistical function to obtain a statistical conversion result; and on the basis of structures and statistical grading conditions of various types of structured data in the statistical strategy, performing classification and integration processing on each statistical conversion result to obtain a target statistical result. According to the method, the real-time performance of data processing in a streaming system is improved, and the statistical ability of the data is improved.

The invention belongs to the technical field of information security, and provides a key recovery automatic search method and system based on a cryptographic algorithm cycle discriminator, and the technical scheme is that: on the basis of determined discriminator parameters and to-be-guessed key recovery parameters, a built key recovery automatic search model is combined; solving to obtain results of all established head and tail expansion key recovery attacks; wherein the process of the key recovery automatic search model comprises the following steps: respectively defining a variable in each state of each round in tail key recovery and head key recovery expansion, and respectively assigning values to the head and the tail of a period discriminator according to the head and tail features of the period discriminator; constraining state transition problems of differentiator head and tail idle wheel functions, over-branch operation and over-linear layer operation; and performing advantage and disadvantage sorting on all candidate results by combining the parameters of adding the key guessing key and an addition statistical function, and obtaining an optimal scheme of the automatic key recovery attack according to a sorting result. And the adaptability to the key recovery attack is improved.

The invention discloses a voice depression detection system based on deep reinforcement learning. The process comprises the following steps of: firstly, extracting a low-level descriptor from an original voice signal, and obtaining an advanced statistical function through mathematical statistics so as to represent advanced acoustic features of voice; secondly, constructing a two-dimensional acoustic feature sample by using the advanced acoustic features; and then, regarding a voice depression detection problem as a Markov decision problem, defining a state, an action, a self-adaptive reward function and a strategy, and updating a Q network which is composed of 1D convolution and a bidirectional long-short-term memory network and is provided with jump connection according to time sequence difference loss so as to train an intelligent agent capable of automatically performing voice depression detection. According to the method, a Q network with jump connection is embedded in reinforcement learning, so that deep perception of depression characteristics is enhanced; and a self-adaptive reward function is designed, rewards are dynamically adjusted according to the proportion of depression category samples in experience playback, category imbalance is relieved, and the recognition precision of the depression samples is improved.