29 results about "DataFlash" patented technology

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.

The application discloses a kind of based on the post-investment risk early warning and exit decision auxiliary method and system of private equity investment project of stream data processing, belong to artificial intelligence and financial technology field.This method accesses multiple-source heterogeneous post-investment data in real time through distributed stream data framework, extracts static, dynamic and event trigger features after preprocessing using sliding window mechanism;Risk scoring fusion is carried out based on time series anomaly detection and gradient boosting tree model, risk classification and real-time early warning are realized;Quantitative exit decision scheme is generated by combining risk level and constraint condition through multi-objective optimization algorithm.The system includes multi-source data processing, real-time feature engineering, dynamic risk early warning and exit decision auxiliary module, can realize post-investment risk whole cycle monitoring and intelligent auxiliary decision of exit scheme, improve post-investment management efficiency, reduce investment risk.

The application discloses a kind of based on perception account's vehicle-mounted memory method, system, equipment and storage medium, belongs to intelligent cabin interaction technical field.The method responds to received user voice instruction, determines and the user identity for the user identity of the unique identification user of memory function associated with the user;The semantic analysis of voice instruction is carried out and initial memory data framework containing to-be-filled field is generated;According to the workflow corresponding to the semantic type of voice instruction, a plurality of basic service interfaces for executing single basic data operation are sequentially called;Each interface return data is filled into the field corresponding to initial memory data framework, to form complete memory data;After the complete memory data is associated with user identity identification, it is uploaded to server end.The application considers user identity identification and privacy security, realizes memory function and business logic decoupling, effectively improves system scalability and interaction convenience.

The application provides a data processing method and device, electronic equipment and storage medium. The original heterogeneous IT alarm text is received, and when it is determined that the original heterogeneous IT alarm text does not have a structured rule, target privacy information of a non-IT technology dimension is located from the original heterogeneous IT alarm text, the target privacy information is replaced with a mask constant that is invariant in a global state, a desensitization intermediate state text is output, a constant template representing an IT event type and an implicit key-value pair representing a dynamic parameter value are extracted from the desensitization intermediate state text, a structured data framework is determined according to the constant template, a standard slot corresponding to the dynamic parameter type under the structured data framework is determined according to a preset semantic mapping table, a parameter value corresponding to the dynamic parameter type is filled into the standard slot, a structured data file is obtained, heterogeneous data originally in a complex discrete state is reconstructed into structure-aligned data, and a semantically consistent basic observation atlas input is provided for intelligent analysis of a back end.

The state association database construction method and device, the storage medium and the computer device provided by the application, when constructing the database, first start the time synchronization control and cumulative error correction function of the multi-source data acquisition system, and monitor the target user through the system to ensure the synchronization and accuracy of multi-source data acquisition; if a collection event that meets the event triggering rule occurs in the monitoring process, the system automatically collects multi-modal data in the preset collection window, and performs association feature mapping and cognitive label matching on the data to form a multi-element data group with a clear data framework, meeting the fine-grained modeling needs of dynamic mapping of music-induced emotions and cognitive states; after the system monitoring ends, the collected data groups are subjected to data quality verification and model adaptation verification, and after the verification is passed, they are stored in the preset multi-layer structure database in layers, and the state association database formed in this way has high reliability and usability.

The invention relates to the technical field of standard substances, in particular to a standard substance uniformity evaluation method, device and equipment based on restrictive maximum likelihood estimation, a storage medium and a computer program product. According to the method, uniformity research design is determined based on the number, batch and test conditions of standard substances; obtaining measurement data of the randomly extracted standard substance, and constructing a corresponding linear mixing effect model according to the uniformity research design and the measurement data; outlier testing is carried out on the measured data, and a data frame matched with the linear mixed effect model is generated based on a testing result; and parameter fitting is carried out on the data frame based on a restrictive maximum likelihood estimation algorithm to obtain a target evaluation result, so that the accuracy of standard substance uniformity evaluation is improved.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.

According to the state association database construction method and device, the storage medium and the computer equipment provided by the invention, when the database is constructed, the time synchronization control and accumulative error correction functions of the multi-source data acquisition system are firstly started, and low-power-consumption monitoring is performed on the target user through the system, so that the synchronism and accuracy of multi-source data acquisition are ensured; if an acquisition event meeting an event triggering rule occurs in the monitoring process, triggering a system to automatically acquire multi-modal data in a preset acquisition window, and performing associated feature mapping and cognitive tag matching on the data to form a multivariate data set with a clear data framework; the fine-grained modeling requirement of dynamic mapping of music-induced emotion and cognitive state is met; after system monitoring is finished, data quality verification and model adaptation verification are conducted on all the collected data sets, the data sets are stored in a preset multi-layer structure database in a layered mode after verification is passed, and therefore the formed state association database has high reliability and usability.

The invention relates to the technical field of spectrum detection equipment, and provides a linear array spectrum integrated assembly and a preparation method thereof, and the linear array spectrum integrated assembly comprises a microlens array layer, a linear gradual filter layer, a detector layer, a signal processing layer and a frame which are sequentially arranged along the incident light direction; the signal processing layer is fixed on the frame, and the microlens array layer is arranged on one side, far away from the detector layer, of the linear gradual filter layer; the micro lens array layer is used for converging incident light; the linear gradual filter layer is used for carrying out linear light splitting of 900 nm to 1700 nm on the converged incident light; the detector layer is used for converting the light signals after light splitting into electric signals; the signal processing layer is used for receiving the electric signal and preprocessing spectral data in real time; the frame is used for supporting and installing the signal processing layer, the detector layer, the linear gradual filter layer and the micro-lens array layer, thereby realizing an integrated packaging structure. According to the invention, miniaturization and high stability of spectrum detection at the wave band of 900nm-1700nm are realized.

The invention provides a current grounding fault direction judgment system and method, and relates to the technical field of fault recognition, and the method comprises the steps: integrating the feature codes of a fault region into a data set through a region module, marking region characters, transmitting the data set to a matching module, and carrying out the recognition of a current grounding fault. After the processing center receives the characters transmitted by the area module, the processing center enables the historical data block to integrate the historical fault data corresponding to the characters and the feature codes into a fault set according to the characters, enables the historical database to transmit the fault set to the matching module, and the matching module carries out data matching on the data set and the fault set. Through the system, the feature code of the fault area only needs to be compared with the fault set in the corresponding area in the historical data frame and does not need to be compared with all the fault sets in the historical data frame, the data comparison process is simplified, the fault data comparison efficiency is improved, and the fault point of line segment current grounding can be quickly positioned.

The embodiment of the invention provides a backup recovery method, electronic equipment, a storage medium and a program product. The feasibility of the recovery demand is ensured by clearly staying in a recoverable time period determined on the basis of historical total backup and incremental logs; the first full-amount backup with the backup ending time smaller than or equal to the target time and the minimum difference value is matched, the log interval is determined based on the target time and the global transaction identifier of the first full-amount backup, the corresponding incremental logs are screened, and the integrity and relevance of the incremental logs are ensured through the precise positioning mode; core data support is provided for subsequent accurate recovery; on the basis of the precise positioning, the first full-amount backup is recovered, the screened incremental log is played back, the full-amount backup constructs a basic data framework before the target time point, the incremental log supplements all data changes from the end of the full-amount backup to the target time point, and precise backup recovery of the target time point specified by the user is achieved.

A frame for a foldable and disposable air filter media is disclosed. The frame has a frame base and a frame cover having a size to overlap the air filter media. The frame cover is attached to the frame base by hinges allowing movement of the frame cover between an open position and a closed latched position. The closed frame holds the air filter media between the frame base and frame cover when in the closed position. The frame base includes an air flow monitoring system with an air pressure differential sensor to determine when the filter needs to be replaced. The frame also has capability to hold additional sensors for monitoring environmental conditions. A processor and memory enable collection and storage of sensed data. A communication module on the frame communicates air filter media change requirement to external devices including hand-held devices or a cloud server.

In a method for decoding point cloud media, point cloud media data including a plurality of point cloud samples encapsulated in one or more tracks is received. A compression unit of a point cloud sample in the plurality of point cloud samples is obtained. A media file data box of the point cloud sample includes type information that indicates a type of the compression unit. The type of the compression unit is one of a geometry header indicating a parameter set of geometry information, an attribute header indicating a parameter set of attribute information, a geometry slice indicating point cloud slice data of the geometry information, and an attribute slice indicating point cloud slice data of the attribute information. Whether the compression unit is to be decoded is determined according to the type information. The compression unit is decoded to obtain point cloud data based on the determination.

The application provides an offline model optimization method, device, equipment, storage medium and program product, and relates to the technical field of data processing. The offline model optimization method constructs weight distribution feature statistical results through each weight channel corresponding to each network layer in the to-be-optimized offline model, calculates the channel importance index and the target channel quantization factor corresponding to each weight channel based on the same data framework, realizes deep linkage and cooperation of weight quantization and channel pruning, further performs channel pruning and weight quantization optimization processing on the to-be-optimized offline model based on the channel importance index and the target channel quantization factor corresponding to each weight channel, can reduce the decision mismatch caused by the separation design of weight quantization and channel pruning, reduce the risk of deleting key weight channels by mistake, improve the adaptability of the reserved weight channels to low-precision representation, and significantly reduce the model precision loss, the model parameter quantity, the reasoning time consumption and the calculation amount without retraining.

This invention relates to the field of big data analytics, and more particularly to a method for optimizing the recycling process of waste lithium batteries based on big data analytics. The method includes: constructing a three-dimensional process game feature space to grasp information at each stage of the recycling process, mapping operational parameters and state variables within it to provide a data framework for subsequent analysis; constructing a dynamic process knowledge graph to present implicit dependencies between process nodes, clarifying the efficiency transmission strength and game balance coefficients, providing key basis for process optimization; efficiently identifying key process nodes through counterfactual efficiency perturbation simulation, generating counterfactual adjustment paths for operational parameters, and providing adjustment directions for actual operation; ensuring the accuracy and standardization of operational parameter adjustments by extracting correction amounts based on the adjustment paths and formulating adjustment instructions; and dynamically updating the dynamic process knowledge graph through counterfactual path deviation coupling analysis to improve the stability and efficiency of the recycling process.

To efficiently verify a control logic including a large number of logic elements without requiring an environment in which a dedicated application is installed.SOLUTION: The present disclosure relates to a control logic analysis device for analyzing a control logic for performing automatic control of plant equipment. The control logic analysis apparatus obtains binary data corresponding to the control logic, and converts the binary data into natural language data by performing decoding processing on the binary data. Based on the converted natural language data, a data frame in which logic element information on logic elements included in the control logic is listed is created.SELECTED DRAWING: Figure 3

The present application relates to the technical field of spectral detection equipment, and provides a linear array spectrum integrated assembly and a preparation method thereof, which comprises: a microlens array layer, a linear gradient filter layer, a detector layer, a signal processing layer and a frame arranged in sequence along incident light; the signal processing layer is fixed to the frame, and the microlens array layer is arranged on the side of the linear gradient filter layer away from the detector layer; the microlens array layer is used for converging incident light; the linear gradient filter layer is used for linearly splitting the converged incident light in the 900nm-1700nm band; the detector layer is used for converting the split light signal into an electrical signal; the signal processing layer is used for receiving the electrical signal and real-time preprocessing spectral data; and the frame is used for supporting and mounting the signal processing layer, the detector layer, the linear gradient filter layer and the microlens array layer, so as to realize an integrated packaging structure. The present application realizes miniaturization and high stability of 900nm-1700nm band spectral detection.

Data processing code in machine learning pipelines is primarily done using data frame APIs provided by Pandas and similar libraries. Though, these libraries are easy to use, their temporal performance is worse than similar code written using NumPy or other high-performance libraries. Embodiments herein provide a system and method for acceleration of slower data processing code in machine learning pipelines by automatically generating an accelerated data processing code. Initially, a code is received and pre-processed based on a predefined format to get a standardized code. Further, system identifies code statements having operations that to be performed on a data frame, and an ordered list of data frame columns to generate a filtered dictionary code. Further, a data processing representation is generated using filtering dictionary code and ordered list of data frame columns. Finally, an accelerated data processing code is recommended based on the data processing representation.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.

The application discloses a communication method, a terminal and a network side device, and belongs to the technical field of communication. The communication method of the application embodiment comprises the following steps: a first network element performs data operation in an artificial intelligence (AI) related process based on a data framework.

A system includes a processor that executes computer executable components stored in a memory. The computer executable components can comprise an analysis component that analyzes a policy document. The computer executable components further comprise a policy dataframe component that generates a policy dataframe corresponding to attributes of the analyzed policy document. The computer executable components further comprise an enforcement component that determines a set of tasks to be performed in order to ensure compliance with the policy document.

The invention relates to a data processing method and device, equipment, a medium and a product. The method comprises the steps of obtaining task description data of a to-be-processed task; determining a target component adapter corresponding to the to-be-processed task according to the task description data; wherein the data architectures supported by the component adapters corresponding to different tasks are different; according to the target component adapter, performing data analysis on the task description data to obtain task synchronization configuration and task operation configuration of the to-be-processed task; according to the task synchronization configuration, determining a target storage path of a target component package corresponding to the to-be-processed task; and according to the task operation configuration and the target storage path of the target component package, generating a target job package of the to-be-processed task. By adopting the method, cooperative work of different data frameworks can be realized.

In some implementations, a system may receive policy data that defines one or more controls and a set of variable definitions associated with the one or more controls in a tabular format. The system may generate a two-dimensional dataframe in which each row corresponds to a policy rule, of the set of policy rules. The system may create a system-generated script that includes a sequence of commands based on the two-dimensional dataframe, wherein each command in the sequence of commands is generated from a row of the two-dimensional dataframe using string manipulations based on information in each column associated with the respective row and the set of variable definitions associated with the one or more controls. The system may execute the system-generated script to generate an output that indicates whether input data subject to the set of policy rules complies with the one or more controls.

A video data processing method includes generating, based on a spliced texture map and depth map, an encoded video bitstream of a free-view video based on multiple images collected by an ith camera in a camera array. The method further includes obtaining boundary metadata information indicating a scene boundary of the free-view video, and adding the boundary metadata information to a file encapsulation data box, to obtain an extended data box. The method further includes performing encapsulation on the encoded video bitstream and the extended data box to obtain a video media file of the free-view video including the boundary metadata information. The method further includes delivering the video media file to a video client, enabling the video client to determine that the ith camera is a boundary camera, and to render video content in the scene boundary indicated by the boundary metadata information.

Systems, methods, and storage media for creating an entity-oriented data fabric (EODF) for a protected environment (PE) are described, the system configured to identify a plurality of entities associated with the PE; obtain first data associated with at least one entity from the PE; identify a relationship with at least one other entity for each of the entities; create a plurality of objects, where each of the plurality of objects is associated with one or more entities and a portion of the first data; store first information related to the entities, first data, relationships, and the objects; create the EODF for the PE, the EODF comprises a data framework for providing a unified view of the plurality of entities and relationships, the EODF facilitates discovery of compromised entities or entities vulnerable to being compromised; and providing a visualization for displaying the first information on a user interface.

The invention discloses a multi-modal sensing assembly part tolerance and stress online detection method and system, and the method comprises the steps: S10, achieving the global positioning and feature recognition of an assembly part through two-dimensional vision, and extracting a key edge point and a reference surface; s20, the three-dimensional point cloud sensor scans the target area, a high-precision geometric model is constructed, and form and location tolerance parameters are calculated through fitting and error analysis; s30, the thermal imaging sensor synchronously collects temperature field data in the assembly process, and assembly stress distribution is estimated in combination with a thermodynamic model; and S40, fusing the data of the three types of sensors through time synchronization and space registration to form a unified detection data framework. According to the invention, high-precision positioning, measurement and diagnosis are realized through multi-source information fusion.

A co-processor comprises a plurality of processing circuits, a finite-state machine (FSM), a first memory, and a second memory. The first memory is configured to store control data, and the second memory comprises a memory area for storing a chain frame specifying a sequence of one or more processing operations, wherein the data associated with each processing operation comprise a code indicating one of the processing circuits and a configuration data frame comprising configuration data to be used for the processing operation. Specifically, the FSM is configured to determine whether the processing chain should be processed based on the control data, determine the code associated with a given processing operation indicated by a frame pointer, and enable the respective processing circuit. Conversely, the enabled processing circuit is configured to read the respective configuration data frame, and execute the respective processing operation.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.