186 results about "DataFlash" patented technology

The invention provides a financial statement generation method and system based on cloud computing, and the method comprises the steps: collecting multi-source data of an internal business system of an enterprise through a centralized data integration platform based on a cloud computing environment, carrying out the classified storage, and constructing a data set; verifying the data set, and obtaining key index fields related to financial statement generation in the verified data set; performing grouping calculation on the key index fields by adopting a data aggregation algorithm to form a financial data summarization result; dynamically mapping the financial data summarization result by adopting a report generation engine, and matching with a preset financial report template to obtain a report data framework; and performing secondary verification and encryption on the report data framework to obtain a final financial report. According to the technical scheme, automation, real-time performance and unmanned performance of financial statement generation are realized through full-link innovation of edge intelligent acquisition, streaming processing, incremental aggregation and zero-trust security.

Disclosed herein is a method performed by a station (STA) in a wireless network to access a non-primary channel. The method includes determining a maximum supportable bandwidth of a primary transmission opportunity (TXOP) established in a primary channel, responsive to a determination that the maximum supportable bandwidth of the primary TXOP is smaller than a maximum supportable bandwidth of the STA, establishing a secondary TXOP in the non-primary channel, and transmitting a data frame to a second STA during the secondary TXOP in the non-primary channel.

A method includes receiving instructions to perform order-dependent DataFrame operation on data. In response to receiving the instructions, the framework analyzes the instructions to identify the order-dependent DataFrame operation, and generates an executable query corresponding to the identified order-dependent DataFrame operation. The framework executes the generated executable query on the data stored in the first database in the cloud data platform, creates a row position column that generates for each row a unique integer identifier, reproducible across multiple sessions and / or queries for the same underlying data to make the data accessible via positional indexing, and assigns each row of the first database a unique row index value based on the row position column and the row position column order. The framework orders a result from performing the order-dependent DataFrame operation based on the unique row index value assigned to each row of the first database, and returns the ordered result to the user.

A data pipeline validation system and method configured to partially automate testing of data pipelines in a distributed computing environment. The system includes a data pipeline analytic device equipped with various modules, such as a query generation module, data frame comparison module, and metadata management module. The query generation module employs natural language processing techniques to analyze configuration entries and dynamically generate SQL queries tailored to specific test cases. The data frame comparison module compares the results of different test cases using distributed collections, enabling parallel processing and efficient result comparison. The metadata management module captures and stores relevant metadata for traceability and auditing purposes. The system facilitates comprehensive validation of data pipelines, enabling organizations to ensure the accuracy, reliability, and integrity of data.

Systems and methods are described for batch materialization of an incremental change data capture (CDC) changeset with full row changes. The primary keys are extracted from the incremental CDC changeset and an indication of the extracted primary keys are broadcast to a plurality of executors. The primary keys may be added to Bloom filter or a plurality of Bloom filters that are broadcast to the executors. Each executor filters a baseline data table based on the extracted primary keys to generate a baseline match dataframe with all primary keys matching the extracted primary keys, and a baseline unmatched dataframe with all primary keys not matching the extracted primary keys. Each executor receives full row changes from a partitioned incremental CDC changeset and combines the changes with the baseline unmatched dataframe to produce a final changed baseline data table.

Embodiments of this application provide a communication method and apparatus. The method includes: A first device (for example, a terminal device or a network device) determines that a first data frame is lost. The first device discards a first data packet received from an upper layer, where the first data packet is a part of or all data packets in a second data frame, the second data frame is located after the first data frame, and the second data frame is associated with the first data frame. According to the method disclosed in this application, a data frame transmission failure is identified, and proactive discarding of a data packet in a subsequent data frame associated with the lost data frame is triggered, to avoid a waste of air interface resources and transmission resources, reduce execution of unnecessary decoding operations, and reduce power consumption of the device while improving resource utilization.

The invention proposes a transmitter arranged to transmit a sequence of physical layer frames at a physical layer symbol rate, said sequence being filtered with a transmit filter, and comprising adaptive coding and modulation means arranged to determine a modulation and coding for transmitting data, whereby the transmitter maps the data in frames using said modulation and coding and inserts encoded and modulated data frames into the sequence. The transmitter further inserts prior to said filtering with the transmit filter, fill frames modulated (and encoded) with a first fill modulation (and coding), said first fill modulation (and coding) selected from a set of fill modulations (and codings) comprising at least one fill modulation (and coding) with a modulation order higher than QPSK.

This disclosure provides systems, methods, and devices that support end of burst (EOB) mediated energy transitioning. In a first aspect, a method of wireless communication includes detecting an EOB indication. The EOB indication indicates an end of a communicated data frame. The method further includes, in response to detecting the EOB indication, transitioning from an active state at a user equipment (UE) to a low energy state at the UE during a next phase of discontinuous communication.

The invention relates to a secure starting method based on HSM secure hardware support, which comprises a self-updating step and a secure starting step: copying a code of a Bootloader, re-partitioning and positioning the code to a code interval used by an App, retaining a basic CodeFlash erasing function, deleting an interaction part between a main core and an HSM, and named as Bootloader 2 carrying code; a Bootloader module is newly added to a starting code in the Bootloader, the Bootloader code needing to be re-burnt into the ECU after repairing is compiled to generate hex, a hex file is subjected to specified address setting and file refreshing, and a self-updating refreshing file is obtained through merging; the ECU receives a refreshing instruction issued by a refreshing tool, writes an App effective mark into a CODE FLASH, obtains a hash1 at the same time, stores the hash1 into a special DataFlash of an HSM, calls the HSM to carry out hash calculation to obtain a hash2 if the App is judged to be effective, reads the hash1 through the HSM to carry out comparison, runs the App if the hash1 is consistent, and stays at the Bootloader to only retain a refreshing function and protect software attacks of hackers and also can safely upgrade Bootloader and App codes if the hackers are consistent.

The invention belongs to the technical field of security monitoring, and particularly relates to a multi-sensor fusion security monitoring method and system, which realizes time alignment of data by starting a data synchronization process and dynamically adjusting the data flow rate of each sensor, and effectively solves the real-time challenge caused by the time delay difference of the sensor data. According to the method, the real-time performance of the system and the consistency of data processing are improved, the consistency and reliability of data are enhanced by constructing a unified data framework and executing an exception detection process, and the situations of data loss and inconsistency are reduced; besides, anomaly detection is carried out by utilizing a unified data framework, potential risks can be identified more accurately, and corresponding early warning signals are activated in time, so that the early warning response capability of the system is optimized; in conclusion, the overall performance and reliability of the multi-sensor fusion safety monitoring system are remarkably improved.

The embodiment of the invention provides a big data framework compiling method and device, equipment and a storage medium. The method comprises the following steps: establishing a compiling environment mirror image for the big data framework through a container technology to obtain a containerized big data framework compiling environment; receiving a construction task submitted by a user, and distributing the construction task to a corresponding target node in the big data framework compiling environment according to a preset task scheduling rule; wherein the construction task at least comprises a compiling task; and controlling the target node to execute the construction task by using a preset script so as to compile the big data framework to obtain a compilation result. The embodiment of the invention aims at improving the compiling efficiency and accuracy of the big data framework.

A method includes a processing module obtaining touch data at a touch data rate. The method further includes the processing module obtaining video data at a refresh rate, wherein the touch data rate is greater than the refresh rate. For a frame of the video data, the method further includes the processing module determining a touch movement trend based on the touch data. The method further includes the processing module determining a position offset for a graphical representation of the touch data based on the touch movement trend. When the position offset exceeds an offset threshold, the method further includes the processing module adjusting position of the graphical representation of the touch data within the frame of video data based on the position offset to produce an adjusted frame of video data.

The present application discloses a method, system, and computer system for providing a dataframe as a service. The method includes (a) receiving, from a client system, one or more hints identifying parameters for source data; (b) executing a plan for a source dataframe including determining whether accessing the source data for the source dataframe is permitted based at least in part on one or more security policies, wherein the plan is based at least in part on the one or more hints; (c) receiving from the client system a business logic pertaining to a transformation to be applied to the source dataframe; and (d) providing to the client system information pertaining to an execution result obtained based at least in part on the business logic.

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.

A method for managing a plurality of imaging devices in a vehicle includes determining that a change of data security mode is indicated for frames of image data transmitted over a first data communication link, determining whether a sensor management system has sufficient processing capacity to support the change of data security mode, increasing the processing capacity of the sensor management system by modifying data security settings for at least one other data communication link when the processing capacity of the sensor management system is insufficient to support the change of data security mode, and initiating the change of data security mode when the sensor management system has sufficient processing capacity to support the change of data security mode. The change of data security mode may include a change from an application-based to a link-based data security mode or a change from the link-based to the application-based data security mode.

Gateway software is initialized responsive to receipt of a data frame to a first vehicle bus of a plurality of vehicle buses, the data frame configured to be routed to a second vehicle bus of the plurality of vehicle buses. During completion of the initialization of the gateway software, a WUP generator is used to send a WUP along the second vehicle bus. Responsive to the completion of the initialization of the gateway software, the gateway software is used to route the data frame over the second vehicle bus.

Systems and methods are described for batch materialization of an incremental change data capture (CDC) changeset. The primary keys are extracted from the incremental CDC changeset and an indication of the extracted primary keys are broadcast to a plurality of executors. The primary keys may be added to Bloom filter or a plurality of Bloom filters that are broadcast to the executors. Each executor filters a baseline data table based on the extracted primary keys to generate a baseline match dataframe with all primary keys matching the extracted primary keys, and a baseline unmatched dataframe with all primary keys not matching the extracted primary keys. Each executor receives a partitioned incremental CDC changeset and combines the changes with the baseline match dataframe to produce a final changed baseline data table.

There is provided a method for merging data frames performed by a data frame merge device for a vehicle network system. The method comprises receiving a plurality of control data frames from a lower level of the vehicle network system; and merging the plurality of control data frames for a preset standby time in a traffic section in which the plurality of the control data frames are not transmitted to a higher level of the vehicle network system.

This disclosure describes systems, methods, and devices related to secure MAC header. A device may generate a frame comprising a secure medium access control (MAC) header. The device may cause to send the frame to one or more STAs. In particular, the device may include processing circuitry coupled to storage, where the processing circuitry is configured to generate a frame comprising a MAC header that includes one or more unencrypted fields and one or more encrypted fields. The frame may be one of a management frame or a data frame and the one or more unencrypted fields may include an address 3 (A3) field. The processing circuitry may also be configured to instruct to send the frame to one or more stations (STAs).

The present technology relates to a wireless communication device and a method, in which packets can be efficiently relayed with low latency.The wireless communication device performs direct relay transmission in which a pseudo data frame, in which a packet of a data signal transmitted from a first another wireless communication device is set as another information, is generated, information based on each received packet for which error detection is performed is overwritten on each pseudo data frame to generate a data frame, and the data frame is sequentially output, and performs control to transmit the sequentially output data frames to a second another wireless communication device. The present technology can be applied to a wireless communication system.

A decoding method, a memory storage device, and a memory control circuit unit are provided. The decoding method is described below. A read command sequence is transmitted, the read command sequence instructs to read a first physical unit, and the first physical unit belongs to a physical unit group. A first single-frame decoding is performed on a first data frame read from the first physical unit. First error evaluation information corresponding to the physical unit group is obtained in response to the first single-frame decoding being failed and a default condition not being satisfied. This default condition is used for triggering the multi-frame decoding on the physical unit group. A second single-frame decoding is performed on the first data frame according to the first error evaluation information.

The application discloses a kind of security startup methods based on HSM security hardware support, including self-update step and security startup step: the code of Bootloader is copied a copy and repartition locates code to the code interval used by App, retains the erasing code flash function, and the main core and HSM interaction part are deleted, and it is called Bootloader2 carrying code;Boot manager module is added in the startup code in Bootloader, and the Bootloader code that needs to be re-burned into ECU after repair is compiled to generate hex, the hex file is set to refresh file with specified address, and self-update refresh file is obtained by merging;Bootloader2 and updated Bootloader' are formed;ECU receives the refresh instruction issued by refresh tool, writes App valid flag to CODE FLASH, simultaneously obtains hash1, stores hash1 in the special DataFlash of HSM, judges App valid, then calls HSM to calculate hash and obtains hash2, compares by reading hash1 through HSM, consistent, then runs App, otherwise, stay in Bootloader and only retain refresh function, protect against software attack of hacker, and can safely upgrade Bootloader and App code.

The present application discloses a data transmission method for a content delivery network, and a related apparatus, a device and a storage medium, and can be applied to fields including but not limited to live broadcast, Internet of Vehicles, instant messaging, etc. The method of the present application comprises: receiving a first data frame sequence sent by a source device in a first time window; according to the first data frame sequence, determining data jitter information, the data jitter information being used to describe data frame jitter within the time window; according to the data jitter information, setting a first buffer duration threshold for a data buffer; and if the playback duration corresponding to data frames currently contained in the data buffer is greater than or equal to the first buffer duration threshold, then increasing the transmission rate of the data buffer data frames to a target device. The present application effectively avoids large delays in content streams and better-satisfies the requirements of low-latency video service.

1. Name of the Design Product: Graphical User Interface for Editing Tabular Data of an Electronic Device. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. The electronic device is of conventional design, and the rear view, left view, right view, top view and bottom view are omitted. 6. Use of the Graphical User Interface: The graphical user interface is used to edit and process data in a table through various judgment conditions, complex variables or functions. 7. Human - Machine Interaction Method of the Graphical User Interface: The graphical user interface can interact by clicking, pressing or swiping on the graphical user interface. 8. Description of the Changing States of the Graphical User Interface: The front view is a visual development platform. The left - hand list shows components of various functions. When a component is dragged with the mouse and placed in the blank area, the editing interface of the component will be displayed. For example, click the data table button in the main view to enter the change status diagram 1; click the edit button at the table data editing area in the change status 1 to enter the change status diagram 2; click the "Please select" button on the far left in the change status diagram 2 to enter the change status diagram 3; when clicking any one of the judgment conditions in the change status diagram 3, enter the change status diagram 4; when clicking the second "Please select" button on the left in the change status diagram 4, enter the change status diagram 5; when clicking any variable option button such as a function in the change status diagram 5, enter the change status diagram 6; click the edit function button in the change status diagram 6 to enter the change status diagram 7; click the OK button in the change status diagram 7 to enter the change status diagram 8; click the second button on the right in the change status diagram 8 to enter the change status diagram 9; click any judgment condition button such as ">= " in the change status diagram 9 to enter the change status diagram 10; click the add sibling button in the change status diagram 10 to enter the change status diagram 11. Similar to the operations in the change status diagrams 4 and 5, after selecting the judgment condition and variable type, enter the change status diagram 12. Enter specific content, such as X1, in the third data box from the left in the change status diagram 12; click the add child button in the second row of the change status diagram 12 to enter the change status diagram 13. Similar to the operations in the change status diagrams 4 and 5, after selecting the judgment condition and variable type, enter the change status diagram 14. Enter specific content, such as X1-1, in the third data box from the left in the change status diagram 14; click the add child button in the third row of the change status diagram 14 to enter the change status diagram 15. Similar to the operations in the change status diagrams 4 and 5, after selecting the judgment condition and variable type, enter the change status diagram 16. Enter specific content, such as X2, in the third data box from the left in the change status diagram 16; when clicking the first delete button from top to bottom in the change status diagram 16, enter the change status diagram 17; when clicking the OK button in the change status diagram 17, enter the change status diagram 18.

Embodiments of this application describe a communication method, a first station (STA), a second STA, and an access point (AP). One example method includes: determining, by a first STA, a first basic service set (BSS) color; generating, by the first STA, a data frame when the first station STA and a second STA perform D2D transmission, where the data frame includes the first BSS color; and sending, by the first STA, the data frame to the second STA.

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 present specification (disclosure) may relate to a method and / or a device related to link adaptation (LA) of a wireless local area network (WLAN) system. For example, the method of the present specification may relate to a method for receiving a signal including a quality of service (QoS) data frame and transmitting a signal related to LA on the basis of the received signal. For example, an STA having received the QoS data frame may transmit acknowledgement (ACK) information related to the QoS data frame and LA information related to QoS data. For example, the LA information may include modulation coding scheme (MCS) information. For example, the QoS data frame may have a preconfigured subtype field value on the basis of triggering of transmission of the LA information. For example, the ACK information may include block ACK (BA) information.

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.

Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.