152 results about "Aggregate data" patented technology

The invention relates to the technical field of intelligent traffic, in particular to a traffic abnormal event dynamic detection method and system based on trajectory analysis, and the method comprises the steps: receiving original space-time trajectory data; preprocessing the original spatio-temporal trajectory data, and mapping the original spatio-temporal trajectory data to a road section sequence of a road network through a map matching algorithm; constructing a behavior model based on the track sequence after map matching, learning the track sequence of the normal behavior mode on the road section, and establishing an observation emission model and a state transition matrix; in the online stage, the log-likelihood value of an observation sequence and / or the similarity between the observation sequence and a normal behavior pattern cluster are / is calculated for a real-time track in a set sliding window, and when the log-likelihood value and / or the similarity exceed a set threshold value, the track is marked as abnormal; performing time-space aggregation on abnormal trajectories of the same road section or intersection in unit time according to single vehicle abnormality judgment, and triggering group abnormal event alarm when aggregation data exceed a preset value.

The embodiment of the invention provides a railway vehicle-mounted sensing system data acquisition system and method based on multi-source triggering, and the system comprises a satellite communication system which is used for obtaining the current position information of a train in real time; the vehicle-mounted ATO system is used for acquiring current state information and running condition information of the train; the ground trackside sensing unit is used for sensing the ground trackside environment through sensing equipment deployed along the railway and acquiring ground trackside environment sensing information; the vehicle-mounted sensing system is used for sensing a headroom area in front of running of a train through a vehicle-mounted sensor, acquiring sensing information of the headroom area in front of running, acquiring information of the satellite communication system, the vehicle-mounted ATO system and the ground trackside sensing unit, and sending the information to the data acquisition cloud platform; and the data acquisition cloud platform is used for acquiring the information sent by the vehicle-mounted sensing system, performing data summarization, and issuing data acquisition triggering information to each train according to data acquisition requirements based on the summarized data.

Techniques for optimized aggregation of a data source are described. A server device receives a request from a data source for aggregating thereof and compares each of a set of hardware metrics corresponding to hardware configuration of the server device with a corresponding threshold hardware metric. The server device is classified as a small-configuration device or a high-configuration device and complete aggregation of the data source or partial aggregation of the data source is allowed based on the classification. A set of utilized hardware metrics of the server device that corresponds to hardware resources of the server device that is being utilized is determined. One or more operations corresponding to the transmission of data of the data source that is to be performed by the server device is blocked if at least one of the set of utilized hardware metrics is higher than a corresponding threshold operational soft limit.

The invention discloses a safety early warning method, device and equipment, and the method comprises the steps: a lightweight model carries out the function abnormality detection according to a fusion result, and transmits a function abnormality detection result and collection data to a cloud server through a network transmission layer; the cloud server summarizes the collection data and the anomaly detection results sent by the edge nodes to obtain summarized data; and the cloud server carries out overall anomaly detection according to the summarized data through a deployed detection model, and carries out safety early warning according to an overall anomaly detection result. According to the method, initial anomaly detection is carried out by deploying a lightweight model at an edge node, and real-time response is carried out according to detection data, so that an industrial scene with a high real-time requirement is met, and multi-dimensional sensor data can be effectively fused to improve the accuracy of monitoring and early warning; the collected data and the detection result of each edge node are summarized through the cloud server so as to carry out anomaly detection on the whole, thereby improving the comprehensiveness and the accuracy of safety early warning.

The invention discloses a safety production performance evidence storage verification method based on ZKP and multi-dimensional verification. The method comprises the steps of daily data aggregation and commitment generation, zero knowledge proof generation, optimistic summarization and batch uplink, data availability guarantee, time trigger automatic presumption and multi-dimensional verification execution. According to the method, zero-knowledge proof, optimistic summary, data availability sampling, Vickers tree and other frontier cryptography and block chain capacity expansion technologies are fused, and the method has the advantages of low cost, high efficiency and verifiability.

An information processing device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: generating, based on inference target data include a detection target object, aggregate data smaller than the inference target data; and applying the aggregate data to a trained model to infer a first region that is a region of the detection target object in the aggregate data, generating packed data that is data packed with the first region or a region of the inference target data, applying the packed data to a trained model to infer a second region that is a region of the detection target object that is included, and inferring the detection target object in the inference target data based on the second region.

The invention relates to the technical field of vehicle part strength simulation analysis verification, and discloses a strength load processing method and system based on a virtual test field, and the system comprises a model construction module, a data configuration module, a simulation execution module, a load processing core module, and a finite element interface module. The method comprises the following steps: constructing a virtual test field pavement model and a multi-body dynamic model; calling a programming tool to process the file; further converting the sub-working-condition load into a standardized load header file required by finite element strength analysis, and finally driving a finite element solver to execute batch working condition calculation and output stress-strain summarized data of the parts. According to the method, intelligent normalization processing of load data, dynamic coverage of critical working conditions and multi-system seamless integration are achieved, the efficiency and precision of component strength verification are improved, the development period is shortened, and a unified comparability reference is provided for fatigue life evaluation.

The invention provides a periodic statistical data metering method and device, equipment, a medium and a program product. Relates to the technical field of computers. The method comprises the following steps: for each subject, acquiring configuration parameters configured by a user for each subject feature from a data system, and recording the configuration parameters in an accessible space; accessing the accessible space to determine a subject source corresponding to the subject and a corresponding statistical deadline, querying a target data value corresponding to the periodic statistical data from the subject source, and determining statistical results of the corresponding target data values under different statistical deadlines based on the target data value and the corresponding statistical deadline; and determining a metering result of the periodic statistical data based on the statistical results of the target data values under different statistical deadlines and pre-counted summarized data. According to the scheme, efficient and accurate periodic statistical data metering can be realized under the condition that the configuration parameters are consistent with the metering range and the rules are consistent, and the reliability of the periodic statistical data is evaluated.

This disclosure relates to knowledge generation and implementation. A knowledge graph system comprises at least one processor, at least one database communicatively connected to the at least one processor, and a memory storing executable instructions. When executed, the instructions cause the at least one processor to aggregate data associated with a plurality of entities, the aggregated data reflecting one or more relationships between two or more of the plurality of entities. Attribute data identifying loan amounts, property values, and appraisal sources may be extracted from the aggregated data. A knowledge graph data structure may be generated having a plurality of subject notes corresponding to the extracted attribute information. Statistical distributions of attributes associated with one or more appraisal sources may be generated and an anomaly in a first statistical distribution may be detected based on a comparison of the first statistical distribution with a second statistical distribution.

A control circuit determines a first period of time during which a jet turbine engine-powered aircraft was operating, then aggregates data from a plurality of data sources including an Aircraft Condition Monitoring System and an Electronic Engine Control that corresponds to that first period of time to provide aggregated data, and then determines whether the aggregated data meets a standard for quantitative sufficiency. By one approach, determining whether the aggregated data meets a standard for quantitative sufficiency can comprise determining whether the aggregated data meets a standard for quantitative sufficiency as a function of assessing the intermittency of data from at least some of the plurality of data sources. Assessing that intermittency of data from at least some of the plurality of data sources can comprise comparing received data to corresponding intermittency signatures.

The application discloses a data privacy protection method and a detection method for a privacy-enhanced semi-blind digital fingerprint, combines a differential privacy technology and a digital fingerprint technology, embeds carefully designed noise into specific positions of a numerical aggregate data set, can realize fingerprint embedding and noise interference operation on carrier data in one step, and ensures protection of private information in the carrier data set and tracking function on traitors.

Based on demographic information of the area being analyzed, the system estimates the distribution of people with user-specified attributes at a given location within that area. [Solution] The human flow information estimation device 2000' includes a calculation device 2100 that performs human flow information analysis based on predetermined demographic information, which includes the number of people located in each of a plurality of predetermined area meshes and information on the attributes of those people. The human flow information estimation unit 2103 identifies a set of unit sub-regions that cover the area to be analyzed without overlapping each other, and based on demographic information and predetermined lifestyle information, it distributes the number of people from the demographic information to the unit sub-regions at predetermined time intervals, based on the type of place and the size of the place corresponding to the classification of people's behavior in each area mesh, and estimates aggregated data for each unit sub-region. Based on the aggregated data, the human flow information estimation unit 2103 calculates a human absorption capacity value, which is the ratio of the number of people with the analyzed attributes for each unit sub-region to a predetermined value.

A system is provided.SOLUTION: The system includes means for receiving communication with the customer as voice data, means for converting the received voice data into text data using a voice recognition technology, means for analyzing the converted text data using a natural language processing technology and generating a summary of a matter, means for automatically counting the number of matters related to a specific keyword or phrase and generating aggregation data, and means for automatically creating a material for a report based on the generated aggregation data.SELECTED DRAWING: Figure 1

Example implementations relate to deduplication operations in a storage system. An example includes receiving a set of data units to be stored in persistent storage of a deduplication storage system, and recording the arrival order of the set of data units in a manifest. The example also includes, in response to determining that an average unit size of the set of data units is smaller than a minimum size threshold, identifying a first data unit that is smaller than the minimum size threshold. The example also includes generating an aggregated data unit including the first data unit and a second data unit, and, in response to determining that the size of the aggregated data unit is larger than a target size threshold, replacing, in the manifest, the first data unit and the second data unit with the aggregated data unit.

The present disclosure provides a system (108) and a method (300) for base grid creation for analyzing geographical locations The system (108) generates a base grid where an aggregation of data, specifically on international mobile subscriber identity (IMSI) levels provides a real time health status of each IMSI within the base grid. The system (108) generates IMSI level identification and plotting where a real time issue with a specific user may be identified. The system (108) summarizes data at different levels of aggregation and reduces a number of data points to be processed and displayed. The system (108) improves performance and scalability, allowing users to analyze and visualize large volumes of data efficiently.

The embodiment of the specification discloses a data aggregation method, device and medium for industry identification data, the method comprising: receiving a plurality of industry identification data and a data aggregation request for the plurality of industry identification data, wherein the industry identification data comprises node identification, identification registration data and identification analysis data of the industry identification data; generating a plurality of data aggregation sub-tasks according to the data aggregation request, judging whether there is a dependency relationship between the plurality of data aggregation sub-tasks; if it is determined that there is a dependency relationship between the plurality of data aggregation sub-tasks, generating an operation relationship between the data aggregation sub-tasks according to the dependency relationship between the data aggregation sub-tasks; aggregating the industry identification data to be aggregated in the plurality of data aggregation sub-tasks to generate aggregation sub-data corresponding to the plurality of data aggregation sub-tasks; and according to the operation relationship between the plurality of data aggregation sub-tasks, operating each aggregation sub-data to obtain aggregation data corresponding to the plurality of industry identification data.

A control circuit determines a first time period during which a jet turbine engine driven aircraft operates, and then aggregates data corresponding to the first time period from a plurality of data sources including an aircraft condition monitoring system and electronic engine control to provide aggregated data, and then determining whether the aggregated data satisfies a quantitative sufficiency criterion. By a method, determining whether aggregated data satisfies a quantitative sufficiency criterion may include determining whether the aggregated data satisfies the quantitative sufficiency criterion based on evaluating intermittency of data from at least some of the plurality of data sources. Evaluating the intermittency of data from at least some of the plurality of data sources may include comparing the received data to corresponding intermittency characteristics.

The invention discloses a total transaction query method and device, a product and a storage medium. The method comprises the following steps: in response to a plurality of accounts selected and queried by a user and query conditions for the plurality of accounts, analyzing respective categories of the plurality of accounts to obtain a unique identifier and an account attribute of each account; on the basis of the account attribute of each account, obtaining intraday transaction details and historical transaction details of each account; combining the intraday transaction details and the historical transaction details of each account into corresponding complete transaction details; performing standardized operation on the complete transaction details corresponding to each account based on a query time period in the query condition to obtain account dimension data of each account; generating account summary data of the plurality of accounts according to the account dimension data of each account; and outputting the account dimension data and the account summary data of each account based on the account attribute and the query condition of each account. According to the method and the device, the efficiency of total transaction query of multiple accounts can be improved.

A parameter estimation section 106 is configured to perform estimation, for aggregate data in which values are associated with respective regions obtained by subdividing a space and for a Gaussian process model that expresses a plurality of aggregate data of differing partition granularity. The estimation is performed based on the Gaussian process model including a spatial scale parameter of a correlation function between regions of the aggregate data and including a noise variance parameter of the correlation function, by estimating the spatial scale parameter and the noise variance parameter so as to maximize a function expressing values of the aggregate data by area integrals of a Gaussian process. A high resolution data computation section111 is configured to perform computation in the Gaussian process model including the estimated spatial scale parameter and noise variance parameter by computing high resolution data in which the resolution of the subject aggregate data is enhanced by taking area integrals of the values of the aggregate data subject to enhancement, by computation for each region obtained by subdividing the space at the granularity indicated by the target partition.

This invention provides a web-based input support system and program that allows users to easily input data into a web-based application form based on an overview of the completed application form on the web screen. [Solution] The web screen input support system and program involves a web screen input support server 1 reading the basic data of the application form on the web screen, the input data for the input fields of the application form, and the attached files or linked information attached to the application into a generating AI 3 to generate summary data for the web screen. The inputter terminal 4 searches through the generated summary data, and the generating AI 3 learns from the input data previously entered in the application form for the selected summary data. The system then generates the optimal input data for the inputter and sets it in the application form on the web screen of the web screen providing server 2.

We provide the system. [Solution] A means for collecting user email data, A means of collecting user project management data, A means of collecting user document management data, A means of analyzing and summarizing each collected data using natural language processing, A means of organizing summarized data by category, A system that includes means for displaying organized data as a user interface.

The invention relates to an automatic driving perception data processing method, device and system and a vehicle, and the method comprises the steps: obtaining a data file of at least one automatic driving task, and recording perception annotation data and perception image data in the data file; based on the data file of the at least one automatic driving task, dictionary data of the at least one automatic driving task is established, and the dictionary data indicates summarized data feature values of the corresponding automatic driving tasks; based on the dictionary data and the data file, a report file is generated, the report file comprises at least one task record, and the task records are in one-to-one correspondence with the automatic driving tasks. The dictionary data is established for the data file, the summarized data type of each automatic driving task can be quickly obtained, the report file is generated by utilizing the dictionary data and the data file, the data of different files can be summarized into the report file in a unified format according to the automatic driving tasks, the data summarizing efficiency can be improved, and the data summarizing efficiency is improved. And the report error rate is reduced.

This application relates to the field of data management technology and discloses a data generation method, apparatus, device, and storage medium based on a data warehouse. The method includes: acquiring an original data table from a data warehouse and determining atomic indicators based on the original data table; acquiring target indicators and associated data dimensions of the atomic indicators under target constraints; determining indicator fields and dimension fields based on the target indicators and the data dimensions; summarizing the original data table based on the indicator fields and the dimension fields to obtain a summarized data table; and aggregating the summarized data table based on the dimension fields to generate a target data table. This application can effectively improve data processing efficiency and flexibility, achieve automated and efficient data development, and reduce data development costs.

An AI-driven blockchain protocol provides systems / methods for managing tokenized assets via autonomous operational Risk-Aware Agents (RAAs). Distinct from prior art automating simple events, the protocol actively coordinates, incentivizes, and manages the RAAs' on-chain lifecycle and operational / financial performance metrics using an Agent Coordination Contract / Module. Verifiable on-chain incentives link RAA operational performance, tracked by said metrics, to risk / return outcomes, thereby underwriting operational execution. An AI engine analyzes aggregated data including RAA metrics, recommending adjustments to RAA incentives and / or metric targets managed by the protocol. RAAs execute operations driven by these incentives, using a protocol-native stablecoin for reward / penalty settlement. A continuous feedback loop enables optimization. This verifiable autonomous operational management provides a foundation for stablecoin-based leverage against the assets, addressing illiquidity. The system comprises interconnected contracts, processor, engine, and RAAs under protocol governance.

The invention provides a business data processing method and device and a readable storage medium, the business data processing method is used for a server, and the business data processing method comprises the following steps: obtaining a target time window and a business demand sent by a client; determining a plurality of business indexes, business dimension systems and index rules according to business requirements; determining an index configuration library according to the business dimension system and the index rule; determining a target data field and a standardized data source according to the index configuration library and the business data; according to the target time window and the standardized data source, determining a summary index value corresponding to the target time window and a dimension combination corresponding to the summary index value; determining time lattice information of the target time window according to the target time window; and determining summarized data according to the dimension combination and the time lattice information, and sending the summarized data to the client. A configurable dimension system is constructed based on a target time window sent by a client, and bottom layer access logic does not need to be modified.

The application provides an accident cause analysis method, system and device for an automatic driving black box, the method comprising: obtaining an original data segment of a full-link original log from the automatic driving black box, performing anchor processing on the original data segment in a trusted execution environment to obtain each target data segment; calculating each information of each target data segment to obtain each target shard identifier; when a preset boundary condition is detected, generating boundary summary information; storing the obtained ciphertext in multiple off-chain storage nodes to obtain a storage binding record; routing a data transaction package to a target shard; aggregating data transaction packages of each target shard to construct a proof package; and determining a preset judgment feature vector in the data segment based on a preset accident cause prediction rule to obtain an accident cause analysis result for the automatic driving black box. The application can solve the problems of untrustworthy, discontinuous and redundant data collection of the automatic driving black box in a high mobility scenario.

The application discloses a method, system and related equipment for summarizing accounting entry data, the method comprising: when a task is triggered, determining the application source, entity and event classification of the accounting entry data to be summarized; based on the application source, entity and event classification, obtaining a first reference field, a second reference field and a third reference field from a preset summary rule configuration file; based on the first reference field, the second reference field and the third reference field, merging each header data and each line data in the accounting entry data to obtain target summary data, and the index of the target summary data comprises batch index, header index and line index. The application can summarize the accounting entry data based on the summary rule configuration file defined by the user, reduce the total amount of data, and improve the readability of the data through multi-level indexing.

A system for analyzing public spiritual related behaviours and generating recommendations, comprising: a data collection module configured to aggregate data from multiple sources; a preprocessing modu

This application discloses a data processing method, apparatus, and storage medium based on dynamic resource adaptation, relating to the field of data processing technology. The method includes: accessing rule execution result data under different rule development modes through a pre-configured unified data service registration interface; obtaining business source fields and establishing a mapping relationship between them and preset physical storage fields in the database using a dynamic field mapping algorithm. This algorithm allocates target physical fields based on the physical field resource pool status, combined with the business field type and length characteristics, while ensuring the continuity of historical data; initiating a rule trial run early warning process, calling the summary data query service, and intercepting anomalies in the summary record data according to monitoring thresholds; and dynamically generating rule execution task packages based on the data volume when no interception is triggered, calling the detailed data query service to obtain, parse, and display the data. This achieves efficient data adaptation and stable system operation in complex environments.

An electronic device and a method for providing summary data related to an utterance of a user are provided. The method by which an electronic device generates summary data comprises the operations of: acquiring media data related to utterances from a plurality of users; acquiring a text script related to the utterances on the basis of the media data; acquiring text summary data from the text script by using a first artificial intelligence model; identifying a main keyword and a main person related to the text script; acquiring an image of the main person corresponding to text in the text summary data from the media data; and using a second artificial intelligence model to acquire image summary data on the basis of the text summary data and the acquired image.