106 results about "Data allocation" patented technology

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

Techniques pertaining to data allocation for joint data communication and sensing in mobile communications are described. An apparatus (e.g., a user equipment (UE) ) generates a plurality of orthogonal frequency-division multiplexing (OFDM) symbols carrying data. The apparatus then transmits the plurality of OFDM symbols to: (a) communicate the data; and (b) perform mono-static sensing based on the plurality of OFDM symbols. A constraint is applied to at least one OFDM symbol of the plurality of OFDM symbols.

The application relates to a vehicle data processing method and device, a vehicle and an electronic device. The method comprises the following steps: acquiring a data file of a vehicle; reading all binary files in the data file in parallel through multiple reading threads to obtain data of each binary file and write the data into a memory; distributing the data of each binary file to a parsing thread pool; parsing the corresponding data by the parsing thread pool to obtain multiple structured data; performing time alignment on the multiple structured data to obtain combined frame data; and serializing the combined frame data into a playable file. According to the application, the data is read through multiple threads, and the data is parsed in parallel through multiple parsing thread pools, so that different types of data are uniformly processed, the efficiency of obtaining the playable file is improved, and thus the problem of low efficiency of obtaining the playable file according to the vehicle data is solved.

Embodiments of the present specification provide a data processing method and device, the method comprising: obtaining multi-modal data, performing semantic recognition on the multi-modal data by a multi-modal data processing model to obtain semantic text data, and assigning data labels to the semantic text data based on a preset label system; receiving a natural language query, determining at least one search label corresponding to the natural language query based on the preset label system; comparing the at least one search label with data labels corresponding to a plurality of semantic text data to obtain a label comparison result; in the case that the label comparison result is a matching success, determining target semantic text data, and taking target multi-modal data corresponding to the target semantic text data as a search result corresponding to the natural language query; and constructing a complete search link from to-be-queried data to multi-modal data output, which not only improves the accuracy and response speed of the search, but also significantly improves the actual availability of the search result.

The present invention describes apparatus / methods for enhanced data protection by determining the required level of data protection for a data source, determining at least a first data-generating device, and assigning protection scheme settings and parameters to the data generated by at least the first device. In one example, a data stream from a data-generating device that is designated as confidential / protected (e.g., a device that could potentially leak confidential information) is protected from reconstruction from unprotected data streams from one or more other data-generating devices that could be used to provide useful input to a virtual sensor of that confidential / protected sensor.

The embodiments of this application relate to the field of data processing technology, specifically to a financial data processing method, apparatus, computer equipment, and storage medium. The main steps of the aforementioned method include: storing reference data sequences in vector form in a distributed database; for each moment in each reference data sequence, associating and storing the sequence elements of the current moment with those of the previous moment in a wide table to generate fused data records, and dividing them into multiple data shards according to the time dimension; allocating target data to multiple computing nodes, calculating the differences between the target data and each data shard in parallel to obtain a difference array; and determining the reference result of the target data in each reference data sequence based on the minimum difference value in each difference array, used to quantify the valuation status of the object to be evaluated. Through the above method, the processing efficiency of massive amounts of financial data can be significantly improved, meeting the timeliness requirements of high-frequency trading in data processing.

A method for generating location data including receiving and outputting first location data. The method further includes receiving a response and validating the first piece of location data based on the response. The method further includes cleaning the first location data. The method further includes querying a first repository to select second location data and a third location data. The method further includes assigning the cleaned first location data a first rank, the second location data a second rank, and the third location data a third rank. The method further includes merging the cleaned first location data and the second piece of location data to generate first merged location data. The method further includes merging the first merged location data and the third location data to generate second merged location data. The method further includes storing the second merged location data in the first repository.

The application discloses a data management method and system suitable for IMR, wherein when a bottom track is updated, data of an effective top track is actively migrated to other free tracks; in the MFML data update strategy, a zigzag four-stage data management scheme is adopted, in the first stage, data of the bottom track is updated; in the second stage, the MFML strategy is adopted to update data of the bottom track; in the third stage and the fourth stage, data distribution and bottom track data update are continuously performed according to the mode of the second stage, and data management is realized. The application can make the MFML update strategy better play the performance in the four-stage data management scheme, and can also relieve the performance decline problem caused by the too high top track occupation amount of the multi-stage distribution scheme.

The application provides an activation module for data calculation, an AI processor and a data calculation method. When it is determined that a result calculated by a preceding matrix acceleration module meets an output condition, the output calculation data is stored in a cache unit. A read-write control unit reads the output calculation data from the cache unit and distributes the output calculation data to each calculation unit. Each calculation unit performs a softmax calculation and outputs a target calculation result. In this way, the output calculation data output by the preceding matrix acceleration module can be stored in the cache unit of the activation module. After processing by the read-write control unit and data distribution, the softmax calculation is performed in parallel by at least one calculation unit. The calculation and access of all data are performed in the activation module, reducing the overhead of accessing memory and improving overall calculation performance. The parallel calculation processing scheme can also improve calculation efficiency.

The present invention provides an electronic voting system, terminal device, and program that can prevent double counting while suppressing cost increases. [Solution] The electronic voting system comprises a voting terminal that receives voters' voting operations and records voting data indicating the voting content on an external recording medium, and a tabulation terminal that performs tabulation processing using the voting data recorded on the external recording medium. The voting terminal assigns a unique file name to the voting data to be recorded on the external recording medium, and the tabulation terminal prevents double counting in the tabulation process based on the file name assigned by the voting terminal.

This invention provides a carbon footprint accounting method, system, device, and medium based on optimal allocation, including: acquiring accounting data and a historical score matrix, and determining a factor score set based on the accounting data; acquiring a weight matrix corresponding to all allocation methods, adaptively optimizing the weight matrix based on the accounting data to obtain an optimized weight matrix, and then calculating a comprehensive practicality score corresponding to each allocation method based on the optimized weight matrix and the factor score set; calculating a selection threshold based on the historical score matrix, allocating the accounting data using allocation methods with a comprehensive practicality score greater than the selection threshold, and performing vehicle carbon footprint accounting based on the allocation results. This invention solves the problem in the prior art where it is difficult to determine the most suitable data allocation method to be used in the carbon footprint accounting process, resulting in an inaccurate final carbon footprint accounting structure.

A system for real-time fault detection and isolation in a high-voltage transmission network, the system comprising: a plurality of input terminals configured to be connected to instrument transformers associated with at least one transmission line to receive analog voltage signals and analog current signals corresponding to multiple phases of the transmission line; a signal conditioning unit electrically connected to the plurality of input terminals, the signal conditioning unit comprising an isolation arrangement, a programmable gain arrangement, and an anti-aliasing filter arrangement configured to produce conditioned analog signals;a multi-channel analog-to-digital converter unit that is operationally coupled with the signal conditioning unit and configured to simultaneously sample the processed analog signals at a predetermined sampling rate to generate digitized electrical parameter data; a time synchronization unit configured to assign precise timestamps to the digitized electrical parameter data based on a reference time source;a processing unit operationally coupled with the analog-to-digital converter unit and the time synchronization unit, wherein the processing unit is configured to execute instructions for detecting abnormal electrical states by performing signal preprocessing, extracting characteristic features from the digitized electrical parameter data, comparing the extracted features with predefined operating criteria, classifying a detected fault state based on the extracted features, and determining a fault location along the transmission line; and an isolation control unit operationally coupled with the processing unit, configured to generate control signals for actuating at least one switching device to isolate a faulty section of the transmission network in response to the detected fault state.

Fire alarm device (1) with at least one fire alarm arrangement (2), wherein the at least one fire alarm arrangement (2) comprises at least one fire detector (3) for detecting a fire and at least one processing unit, in particular at least one image processing unit (4), wherein the at least one fire detector (3) and the at least one processing unit, in particular the at least one image processing unit (4), provide data, with a communication device (5), wherein the at least one fire alarm arrangement (2) is connectable or connected to the communication device (5) for transmitting the provided data, wherein the at least one fire alarm assembly (2) and the communication device (5) each have at least one wired bus connection (7), wherein the at least one fire alarm assembly (2) and the communication device (5) can be connected to each other via a wired bus connection (8) by means of the at least one wired bus connection (7), wherein the at least one fire alarm arrangement (2) for transmitting the data additionally has at least one wireless connection port (9), wherein the communication device (5) comprises a further wireless connection port (9), wherein the wireless connection ports (9) of the at least one fire alarm arrangement (2) and the communication device (5) are connectable or connected to each other for the transmission of data via a wireless network unit (10), where the data with a small data size are allocated to the wired bus connection (8) for transmission at low data rates, wherein the data with a large data size is assigned to the wireless network unit (10) for transmission at high data rates, wherein the fire alarm device (1) comprises at least one repeater (11), wherein the wireless transmission of the data between the wireless connection terminals (9) of the communication device (5) and the at least one fire alarm arrangement (2) is carried out indirectly via the at least one repeater (11).

This specification relates to the field of database technology, and particularly to data processing methods, computing devices, storage media, and computer program products. The data processing method includes: in response to a data write request for a target data structure, determining the data to be written carried in the data write request; if the data to be written contains first data, allocating a first data storage node outside the target data structure to the first data when the target data structure is not locked, wherein the amount of the first data is greater than a preset data amount threshold; and writing the first data to the first data storage node when the target data structure is not locked, wherein the first data storage node is associated with the target data structure.

In one embodiment, a method may determine collective load data from a plurality of Ethernet Virtual Private Network (EVPN) leaf nodes in a Link Aggregation Group (LAG) within a network. The LAG may include a plurality of physical Ethernet links. The method may distribute the collective load data between the plurality of EVPN leaf nodes in the LAG. The method may determine, using a de-powering algorithm, a sustainability factor for a particular physical Ethernet link of the plurality of physical Ethernet links in in the LAG. The method may determine whether to activate or de-power the particular physical Ethernet link in response to comparing the sustainability factor to a predetermined threshold.

FIELD: network devices.SUBSTANCE: method of priority data transmission over several MPTCP sockets involves the creation by the MPTCP client of two or more MPTCP sockets and the transmission of data over them using the MPTCP protocol. In order to perform priority data transmission over two or more MPTCP sockets, the MPTCP client software algorithm receives data from the first network device, reads and processes information on the priority of the received data, orders the received data in at least one software buffer in accordance with the information on the priority of the received data, and transfers the received data, ordered in accordance with the order of the data in the software buffer, to the MPTCP software algorithm for transmission to the second network device.EFEFCT: assigning priorities to data for transmission and performing priority distributed MPTCP data transmission, including data protected by the VPN protocol over several MPTCP sockets.10 cl, 1 dwg

Embodiments of the present application relate to the technical field of storage, and in particular to a data management method, a storage device and an electronic device. The method comprises: obtaining I / O command data, obtaining a first state vector based on the I / O command data; obtaining storage state data of the storage device; inputting the first state vector and the storage state data into a first reinforcement learning model to obtain a predicted management decision; updating storage management parameters of the storage device based on the predicted management decision; and performing a management operation on the storage device based on the storage management parameters. Embodiments of the present application actively output an optimized management decision from the feature data of the I / O command data and the storage state data of the storage device by the reinforcement learning model, realizing a leap from a traditional technology of "passive response to a fixed threshold" to "active perception-decision". Moreover, the storage management strategy can be specified as needed, and the data allocation logic can be optimized.

A parallel processor assigns data for use by one or more tasks to a shared memory or memories associated with a plurality of compute units. A scheduler or other controller within or otherwise associated with the parallel processor assigns threads or groups of threads, which utilize the assigned data, to compute units as appropriate. Compute units utilize two sets of instructions, one specifying upper bits and one specifying lower bits of a memory address, to specify memory addresses that are larger than a number of bits an individual instruction can specify in a memory address field. Mode setting commands determine when and how lower bits in a memory address field of an instruction will be combined with upper bits in a previous instruction, e.g., through concatenation.

This invention proposes a large-scale language model inference system and method. The large-scale language model inference system includes a first computing unit. The first computing unit is used to set a model file to be inferred and select an inference framework for inferring the large-scale language model based on the model file. The first computing unit detects hardware performance information of multiple dynamic random access memories (DRAMs) and multiple video random access memories (VRAMs) and obtains multiple model loading parameters. The first computing unit allocates model data of the large-scale language model to at least one of the DRAMs and VRAMs based on the hardware performance information and the multiple model loading parameters. The first computing unit operates at least one of the DRAMs and VRAMs to perform inference operations on the large-scale language model based on at least one inference output filtering parameter.

The application discloses a kind of based on space-time fence's car networking geographic information security attack and defense drill method and system, belong to intelligent network connection car and geographic information security technical field.To solve the problem of existing attack and defense scene solidification, static geographic fence no elasticity and encryption resource allocation unreasonable, the application constructs the mixed simulation environment including real hardware and virtualization component, obtains space-time fence data with security level;Data is encrypted using encryption algorithm and data features, encryption algorithm features and node performance features are extracted to form a joint feature vector;Using Bi-LSTM energy consumption prediction model outputs allocation probability, and based on security level constraint decision, force high-security level data to be allocated to high-performance nodes, finally generate analysis report for real environment policy update.The application realizes the significant improvement of geographic information security protection and resource allocation efficiency through the cooperation of dynamic space-time fence, format preservation encryption and intelligent scheduling model.

Computing platforms, methods, and storage media for automated masking of personally identifiable information data are disclosed. Exemplary implementations may: receive input data comprising PII data associated with an input data label; automatically assign a masking process for the PII data based on a comparison of the input data label with stored masking parameters and based on a set of stored masking processes, the set of stored masking processes being mapped to a set of input data labels comprising the input data label associated with the PII data; automatically create and execute one or more masking jobs associated with the masking process; and generate masked PII data based on execution of the one or more masking jobs.

The present disclosure provides a data processing method, a computing device and a storage medium, the data processing method comprising: generating a task table of a current node, the task table comprising key values and data states of data in a task set to be processed by the current node, the task set comprising data to be processed by the current node; receiving a data processing request sent by a data processing device of the current node, the data processing request comprising a data amount; allocating batch data equal to the data amount and in an initial data state in the task set to the data processing device; and updating the data state of the batch data in the task table according to the processing progress of the data processing device on the first batch data.

This disclosure relates to a multimodal generation method, apparatus, device, medium, and product. The method includes: receiving a user query; wherein the user query contains at least one input data, each input data belonging to a modality; assigning a corresponding encoder to each input data based on the modality to which the input data belongs, and determining the feature vector corresponding to each input data through the encoder; inputting the feature vector into a vector database for retrieval to obtain retrieval results; wherein the vector database corresponds to the modality to which the input data corresponding to the feature vector belongs; and determining a multimodal output result based on the user query and the retrieval results. This disclosure can accurately process multimodal user queries, ensuring independent retrieval and semantic association of information from different modalities, thereby generating multimodal content that is highly accurate, well-coordinated, and better meets the personalized needs of users.

The application discloses a kind of multi-source heterogeneous processing methods of ground observation data, and the application relates to data processing technical field, and the application obtains multi-source heterogeneous ground observation data in real time by data acquisition module, equipment analysis module periodically analyzes the operating state and data transmission quality of observation terminal, extracts the structural difference degree of heterogeneous data, field matching complexity and other core characteristic parameters, dynamically adjusts processing strategy based on comprehensive processing index, solves the problem of poor adaptability of traditional fixed processing rule, insufficient data processing precision, realizes the accurate adaptive processing of heterogeneous data;By calculating the comprehensive processing index, combined with data priority classification, differential resource allocation strategy is developed, more computing resources are allocated to high-priority, high-timeliness data, and low-priority data is simplified processing procedure, which avoids the waste of computing resources, improves data processing efficiency, and ensures that observation data with high real-time requirements can be processed quickly.

The application discloses a task scheduling method, system and computer readable storage medium, the method comprises the following steps: obtaining task data and resource data of an initial node group set through a segmentation service node, and performing segmentation on the initial node group set according to the task data, the resource data and a preset shard set to obtain a segmentation result; obtaining execution parameters of the task data through a scheduling selection service node and middleware, and performing scheduling on the task data according to the execution parameters and the segmentation result through the scheduling selection service node and an execution agent service node. The application distributes task data in the initial node group set to corresponding shards by performing segmentation on the initial node group set, so that the task data can be processed in a distributed manner, the efficiency and accuracy of processing complex task scheduling are improved, and the practicality of task scheduling is improved.

A data processing service receives a data table which includes a plurality of rows of data. The service assigns the plurality of rows of data to a plurality of computing nodes. The computing nodes belongs to a distributed computing system. At each assigned computing node, the service applies a machine learning (ML) model to the assigned rows of data for indexing each row in the data table. The ML model is trained to determine a set of centroids, and each centroid is associated with a centroid ID. For each row of data in the data table, the service receives a centroid ID of one of the plurality of centroids that the respective row of data is assigned to. The service generates an index of the data table with at least the received centroid ID of each of the plurality of row of data in the data table.

A method for processing live streaming data includes assigning one or more data to one or more windows based on group level characteristics of the one or more data, assigning the one or more data to one or more sub-windows based on one or more time stamps, the one or more sub-windows inside the windows, creating a data count for each of the sub-windows, creating a first time series from the data count of each of the sub-windows, comparing the time series to a second time series of data, wherein the second time series of data is previous time series data, identifying presence of one or more anomalies based on the comparison of first time series to the second time series, alerting a user to the presence of anomalies based on a result of the comparison, and modifying the second time series based on the first time series.

The present invention relates to a method, apparatus, system, and computer-readable medium for preventing the propagation of hallucinogenic data in a multi-agent system comprising a memory storage shared by a plurality of agents. A method according to the present invention comprises the steps of receiving a request to store data in a memory storage from an agent, tracing back a source chain included in the requested data to identify the original data, calculating a semantic discrepancy between the requested data and the original data, and determining to store, modify, store, or discard the data based on the semantic discrepancy. The present invention prevents the storage and propagation of hallucinogenic data in a multi-agent environment by assigning a reliability hierarchy based on source chain length to the data stored in the memory storage and performing a weighted search based on semantic similarity and reliability.