903 results about "Data exchange" patented technology

A federated distributed computational system enables secure oncological therapy optimization through robotic integration. The system establishes a distributed graph architecture with secure communication channels connecting computational nodes, implementing encryption protocols for cross-institutional data exchange. Each node contains processing capabilities for fluorescence-guided imaging, uncertainty quantification, and expert knowledge integration while maintaining hierarchical knowledge graphs of oncological biomarkers, interventions, and outcomes. The system coordinates domain-specific knowledge through token-space communication and implements an advanced robotic integration system for surgical interventions using spatiotemporal tumor mapping, multi-modal fluorescence imaging, surgical robot coordination, and space-time stabilized mesh management. Key capabilities include wavelength-specific multi-modal fluorescence detection, combined epistemic and aleatoric uncertainty estimation, tensor-based data integration with adaptive dimensionality control, and light cone search for adaptive treatment optimization—all while maintaining strict privacy controls.

The various embodiments herein provide a system and method for networked digital twins with autonomous collaborative decision-making. The system comprises a Digital Twin Engine for real-time data acquisition, model synthesis, and simulation, an AI Module for advanced data analysis, an autonomous collaborative decision-making module for optimized decision-making, a communication layer for secure data exchange, and supporting modules for coordination, storage, security, and user interaction. The method for generating and deploying digital twins comprises data collection, transmission, preprocessing, model synthesis, simulation, validation, and deployment. The method for networking and collaboration comprises AI-based data processing, complex event processing, autonomous decision-making, task distribution, decision communication, real-time monitoring, and continuous improvement. This system enhances operational efficiency, scalability, and security, reducing the need for human intervention and providing a comprehensive management solution for complex systems.

The invention belongs to the technical field of communication, and particularly relates to an NFC (Near Field Communication) encrypted IMS (IP Multimedia Subsystem) server security data exchange method, which comprises the following steps of: in response to a near field communication connection event, acquiring an original service data message of service equipment to be opened and physical environment data monitored when the event occurs, forming a seed data set, executing Hash operation to generate an initial data fingerprint, and sending the initial data fingerprint to a server; and generating a symmetric session key through a key derivation algorithm by combining a device identifier in the original service data message, so as to encrypt the original service data message, packaging an encrypted data packet and the initial data fingerprint into a transmission data packet, sending the transmission data packet to an IMS server, reconstructing the session key by the server based on expected service parameters stored locally, and sending the session key to the IMS server. According to the method, decryption verification of the encrypted data packet is carried out, and service opening is executed after the verification is passed, so that deep binding of an encryption process and data integrity verification is realized, and the security of data exchange and the system processing efficiency are improved.

The invention relates to an optical data network (10-1) for connecting a plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). The optical data network (10-1) comprises: i) the plurality of data network nodes (N1-1, N2-1, N3-1, N4-1), the data (99) comprising data packets (99p), wherein each data network node (N1-1, N2-1, N3-1, N4-1) is provided with a network interface (Nl); and ii) a data connection network (100-1) comprising at least one data switch (SW) and a plurality of optical connections (50) for allowing establishment of data links (DL1, DL2) between pairs of said plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). At least one of the at least one data switch (SW) is a smart data switch (SSW) comprising at least one packet switch (PS, EPS) and at least one circuit switch (CS, OCS), At least two network interfaces are smart network interfaces (SN, SNC) comprising a data classifier (25) configured for classifying the data packets (99p) into at least two traffic classes including first traffic class (D1) and a second traffic class (D2) in accordance with a classification scheme. The smart data switch (SSW) and the network interfaces (SN, SNC) are configured to route the data packets (99p) of the first traffic class (D1) to the packet switch (PS, EPS) and to route the data packets (99p) of the second traffic class (D2) to the circuit switch (CS, OCS).

The invention discloses a logistics full-process optimization method based on multimodal transport digital development, and belongs to the field of logistics, the logistics full-process optimization method based on multimodal transport digital development comprises the following steps: formulating a unified data exchange standard, and defining a standardized digital format for each type of documents; on the basis of a unified data exchange standard, a unique digital main document which runs through the whole transportation process is created for goods transported each time, and the digital main document serves as a unique digital certificate of the ownership of the goods and a transportation contract; the method has the beneficial effects that a trusted data closed loop capable of automatically circulating, checking and responding to exceptions is constructed by formulating a unified data exchange standard, creating a digital main document running through the whole process, constructing a cloud collaboration platform and embedding an intelligent rule engine; therefore, a traditional mode of multimodal transport depending on manual coordination is converted into an efficient, automatic and transparent digital operation mode.

The invention relates to the technical field of fire-fighting simulation, and discloses a fire-fighting fire dynamic simulation system based on multi-physics field coupling. The system collects temperature field distribution data, smoke concentration gradient data, airflow velocity field data and building structure heat conduction parameters of a fire scene; establishing a bidirectional coupling model of a temperature field and a smoke diffusion field, realizing dynamic correction of a smoke convection effect by a temperature gradient through real-time data exchange, constructing a correlation model of an airflow velocity field and a heat conduction parameter of a building structure, and adjusting a velocity field vortex coefficient according to heat flow intensity; integrating the bidirectional coupling model and the correlation model to form a multi-physical field joint calculation framework, and propelling a simulation process by adopting a discrete time slicing mode; and outputting a three-dimensional dynamic simulation map including a temperature field evolution track, a smoke diffusion path and an airflow disturbance range. The system can accurately restore the fire scene multi-physics field synergistic effect process, and provides effective support for fire rescue decision and building fire protection design.

The invention discloses a high-speed data processing and exchanging method and system based on Zynq UltraScale + MPSoCs, and belongs to the technical field of data processing.The method comprises the steps that nanosecond-level synchronous pulses are generated through a PL end of Zynq, initial multi-modal data are collected, the transmission rate and integrity are analyzed through a double-SERDES controller of the PL end, and a dynamic data processing matrix is constructed; pL and PS end data flow distribution is simulated and optimized through a preset multi-data granularity scale, and an exchange instruction set is generated; in combination with an on-chip bus topology, a first data exchange path is formed through DMA-OCM interaction and hardware accelerator adaptation, and a second data exchange path is obtained by adjusting sub-channel allocation and bus priority; and the operation state parameters of the second data exchange path are written back to the data frame state attribute bar corresponding to the dynamic data processing matrix in real time, so that efficient processing and dynamic optimization of the multi-modal data are realized, and the system stability and the transmission efficiency are improved.

The invention relates to the technical field of multi-agent collaboration, in particular to a multi-agent collaboration method and system based on shared memory data exchange, and the method comprises the steps: creating and initializing a shared data area which is mapped and accessed by a plurality of agent processes in a physical memory; constructing an annular buffer structure on the shared data area, and realizing a lock-free read-write pointer propulsion mechanism based on atomic operation and a memory barrier so as to support a plurality of intelligent agents to perform data read-write concurrently; asynchronous notification of data updating is carried out between agent processes through a lightweight event notification mechanism; and each agent performs autonomous decision making and task scheduling based on the shared data so as to realize distributed collaboration. A data block version control and verification mechanism is introduced into the annular buffer structure, and when it is detected that the agents are abnormal, resources of the abnormal agents are automatically recycled, and a data consistency recovery process is triggered. Multiple times of data copying between a kernel mode and a user mode are eliminated, and communication delay is reduced.

The invention relates to the technical field of computers, discloses a heterogeneous computing low-delay communication method and system, and aims to solve the problem of high delay caused by high communication protocol overhead, lack of dynamic scheduling collaboration, memory migration redundancy and non-uniform cross-node communication abstraction in existing heterogeneous computing. The method comprises the following steps: receiving a task scheduling request and analyzing a task dependency graph; tasks are dynamically allocated based on node loads and link states; rDMA, NVLink or PCIe straight-through protocols are adaptively selected according to node types to establish communication channels; zero-copy data exchange is realized through a shared memory mapping buffer area; hardware timestamps are utilized to synchronize feedback delays with PTP to optimize scheduling. The system comprises a heterogeneous computing node cluster, a unified communication scheduling controller, a low-delay communication protocol stack, a shared memory mapping buffer area and a communication delay sensing task distributor. According to the scheme, the communication delay is remarkably reduced, and the throughput and the task execution efficiency are improved.

An apparatus comprises a memory communicatively coupled to a processor. The memory is configured to store network interchange parameters and user profiles. The processor is configured to receive a data exchange request triggered by a user device. Further, the processor is configured to request, to a decentralized network, a token indicating that a user profile associated with the user device is entitled to access an entitlement, determine whether a data exchange network is available to exchange data in accordance with the network interchange parameters, identify a second data exchange network that is available in accordance with second network interchange parameters in response to determine that the data exchange network is unavailable, and request a data exchange output from the second data exchange network via the token. The processor is configured to receive the data exchange output from the second data exchange network.

The invention discloses a distributed data use control method and system based on a DID and a verifiable credential, a storage medium and an electronic device, and the method comprises the steps: carrying out the identity verification of a data user based on a DID, carrying out the authentication of the identity through a verifiable credential issued by an authority, and carrying out the verification of the identity through the verifiable credential; the privacy information range is controlled by adopting a selective disclosure mechanism; generating data authorization information based on the verifiable certificate, establishing an encrypted point-to-point data transmission channel in combination with the DID identifiers of the authorizer and the authorized person, and executing encrypted transmission and encrypted storage of data; and verifying the identity of a data user based on a DID signature mechanism, carrying out tamper-proof verification on a use strategy in the authorization certificate, and carrying out compliance judgment on an authorization range, strategy content and a decryption condition. According to the method provided by the invention, identity credibility right confirmation in a distributed environment is realized, the security and compliance of data exchange are improved, and security autonomy and verifiable control in a data use stage are realized.

The invention discloses a traffic incident detector system based on a domestic intelligent DSP and a detection method. The system comprises a video acquisition unit, a data exchange and storage unit, an intelligent processing core and a communication interaction unit. The intelligent processing core adopts a heterogeneous SoC chip integrating a multi-core DSP, an NPU and an FFT hardware acceleration module, the FFT module is responsible for video frame frequency domain enhancement, the NPU runs a deep learning model to carry out target detection, and the multi-core DSP executes multi-target parallel tracking and event judgment. And the data exchange and storage unit supports direct carrying of data among the modules through a unified physical address space and a DMA mechanism. The method comprises the following steps: carrying out NPU target detection on a video subjected to environment self-adaptive preprocessing; a multi-core DSP is used for tracking a target in parallel and judging an event; and finally, alarm information is generated and reported. Through heterogeneous hardware division and software and hardware cooperation, high-real-time and high-precision edge analysis is realized, and the detection reliability is improved.

Techniques for exchanging data between a host device and a computing device in a cloud computing environment using a protocol are discussed herein. The protocol can, for example, define a schema for identifying and / or tracking data packets associated with one or more events at the host device. The techniques can include assigning information to the data packets that enable recovery of a data packet and / or arranging the data packets regardless of whether data packets are received out of order. The protocol can improve reliability of data exchanges and perform synchronization in less time and using fewer computational resources (than not implementing the techniques).

The invention provides an MCM-GPU-oriented resource storage optimization method, device and equipment, and the method comprises the steps: carrying out the static analysis of an operator-level data flow diagram of a calculation task in a compiling stage, and extracting the data dependence relation and life cycle characteristics of each operator; generating a storage optimization scheme based on the data dependency relationship and life cycle characteristics of each operator; in the operation stage, task and data collaborative allocation is carried out according to a data prefetching strategy and a data replacement strategy, task and data collaborative allocation and the calculation task are executed in parallel, and a data flow diagram and an operator dependency relationship of the task are analyzed by utilizing a compiling period; in combination with the data locality characteristics of the MCM-GPU multi-level storage architecture and the concurrency requirements of different modules for data access, an appropriate GPU module is selected to carry out data optimization management, so that frequent data exchange between a GPU and a CPU is reduced, and the performance potential of the MCM-GPU architecture in a super-large-scale task is brought into full play.

The agricultural condition integrated monitoring device comprises an electric pickup truck serving as a vehicle-mounted platform, an upper-layer mounting plate is mounted at the top of a cargo compartment of the electric pickup truck, an unmanned aerial vehicle cabin is arranged on the rear portion of the upper end face of the upper-layer mounting plate, and an insect condition station is arranged on the front portion of the upper end face of the upper-layer mounting plate; a vehicle-mounted holder ball machine is installed on the top of the insect situation station, a wind direction sensor, a wind speed sensor, a photosynthetically active radiation sensor and an illuminance sensor are installed on the top of a cockpit of the electric pickup truck through corresponding profile supports, and a server square cabin is arranged between the lower end face of an upper-layer installation plate and the interior of a cargo compartment and used for data exchange, transmission and storage among multiple devices. And carrying out real-time calculation processing and fusion analysis on the multi-source data. The unmanned aerial vehicle cabin, the four-condition monitoring equipment and the edge computing or server module are uniformly integrated on the vehicle-mounted platform, so that the cooperative operation of the vehicle-mounted intelligent unmanned aerial vehicle cabin and the unmanned vehicle-mounted platform and the high-performance data processing and remote management are facilitated.

The present invention relates to the field of computers and the field of hydraulic structures. Disclosed is an integrated rockfill dam deformation analysis method based on the integration of multiple professional models, the method comprising the following step: S1, using a parameter back-analysis method to establish a constitutive model for rockfill materials. Further disclosed is a rockfill dam deformation analysis system based on the integration of multiple professional models, the system comprising a parameter back-analysis module, which is used for establishing a constitutive model for rockfill materials. Moreover, further disclosed is a rockfill dam deformation analysis device based on the integration of multiple professional models, the device comprising a cluster management host, which is responsible for resource allocation and management of an entire device network. Using containerized WebSocket technology greatly simplifies real-time data exchange and communication between containers; moreover, in a complex data processing flow, an output of step S1 can immediately serve as an input of step S2, and an output of step S2 can immediately serve as an input of step S3; and the "single communication, persistent connection" advantage based on the WebSocket technology reduces the communication load of servers.

Disclosed examples determine a first time corresponding to a start of a window for a data exchange; determine a second time corresponding to a data packet sent during the window; calculate link performance data based on the first time and the second time; and transmit the link performance data to a network configuration entity.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention relates to the technical field of high-performance computing, and provides an inter-thread data sharing method, electronic equipment, a storage medium and a program product.The method comprises the steps that a plurality of threads in a thread block are divided into at least one cooperative thread group, and the threads in each cooperative thread group are from at least two different thread bundle groups; when a write operation of a first thread in any cooperative thread group is received, writing target data into a shared register resource associated with any cooperative thread group; and when a read operation of a second thread in any cooperative thread group for the target data is received, executing a synchronous operation, and reading the target data from the shared register resource after the execution is completed. According to the method, the cooperative thread group spanning different thread beam groups is constructed, and the shared register resources are utilized for data exchange, so that efficient data sharing is directly carried out among the threads spanning the thread beam groups through the register, and the method has the advantages of low delay, high bandwidth and capability of remarkably improving parallel computing performance.

The invention discloses a software and hardware cooperation system and method for satellite network routing simulation, and mainly solves the problem that an existing simulation scheme is difficult to consider high fidelity of protocol behaviors and high performance of data forwarding in a high dynamic satellite network. The system comprises a software control plane unit, a hardware data plane unit, a satellite network simulation upper computer and a switch, and the switch is bidirectionally connected with the software control plane unit, the hardware data plane unit, the satellite network simulation upper computer and the switch and serves as a data exchange platform of the system. The satellite network simulation upper computer is used for system configuration management, operation state monitoring and result visualization; the software control plane is used for executing simulation calculation and routing decision of a satellite network routing protocol and generating a standardized forwarding table item; and the hardware data plane unit performs high-speed and deterministic table lookup forwarding according to the standardized forwarding table item, and simulates a satellite resource constraint environment. According to the method, the integrity of protocol simulation details is guaranteed, meanwhile, high-efficiency forwarding performance and non-interruption updating in a high-dynamic environment are achieved, and the method can be used for routing protocol verification, network performance testing and satellite-borne algorithm evaluation of large-scale low-orbit satellite constellations.

The invention discloses a traceable data conversion method and system based on declarative rules, and relates to the technical field of data processing. The method comprises the following steps: acquiring a conversion rule file written by adopting a PTL (Program Transfer Language), and defining a mapping relationship between a target data column and a source data field in a declarative manner; analyzing the rule file to generate an operation instruction set, and processing the source data line by line based on the instruction set to generate a target data file; and meanwhile, outputting the traceability metadata, and recording the corresponding relationship between the target data and the source fields and the rule statements in a machine readable form. Flexible and accurate conversion between various data sources and target formats is achieved, complexity of manual operation and script development is avoided, data processing efficiency and reliability are improved, a complete traceable mechanism is established, transparency and compliance of the data exchange process are enhanced, the method is suitable for conversion of various formats such as Excel, databases, XML and JSON, and the method has wide application prospects. The method has universality and application prospects.

The invention provides a desktop-level hardware-in-the-loop test system building method, device and equipment, and relates to the technical field of hardware-in-the-loop simulation, and the method comprises the steps: configuring a vehicle network simulation and vehicle dynamics model in an upper computer with a CAN development environment and vehicle dynamics simulation software, a real-time data channel between the two is established through a full duplex transmission protocol; a driver instruction is generated through the driving control panel, and a vehicle state signal is generated through vehicle dynamics software; the wheel speed in the vehicle state signal is converted into a physical excitation signal, and a wheel cylinder pressure signal returned by the controller is collected; the pressure signal is fed back to the vehicle dynamics model to form a closed loop, a test scene is executed, and the desktop-level hardware-in-loop test of the brake controller is completed. By using vehicle dynamics simulation software, the test confidence coefficient is improved; data exchange is carried out by utilizing an FDX protocol of a CAN development environment, and complexity and potential risks of self-development of a communication interface are avoided.

The disclosed embodiments include computer-implemented systems and processes that provision, in real-time, targeted digital content associated with an initiated data exchange based on structured messaging data. For example, an apparatus may receive a message associated with a real-time payment requested from a first counterparty by a second counterparty. The message may include elements of message data disposed within corresponding message fields, and based on at least the elements of message data, the apparatus may generate product data characterizing a product available to the first counterparty and transmit first notification data including digital content associated with the available product and with the data exchange to a first device operable by the first counterparty. Based on response data generated by the first device, the apparatus may perform operations that provision the available product to the first counterparty in accordance with the product data.

The invention discloses a general data exchange system based on a configurable label structure, which relates to the technical field of data processing and information integration, and comprises a parameter module used for establishing an identity authentication mechanism of two exchange parties; the business document module is used for establishing a data structure definition based on a preset exchange demand; the receipt logic module is used for carrying out logic analysis and code decoupling on the data structure definition, generating a marked language script code and an execution instruction, constructing an execution matrix and realizing mapping between a database physical field and a memory logic variable; and the standard adaptation module is used for comparing and checking the content of the generated data and feeding back a checking result to the parameter module to correct the exchange rule and parameter configuration. A more intelligent logic separation strategy is implemented through structural insight, data reading, writing and transmission are cooperatively controlled, complete decoupling of service logic and program codes is achieved through a nested tag structure, and flexibility, universality and maintenance efficiency of data exchange are optimized.

A search engine of a data exchange may receive a query comprising a set of search terms, retrieve a plurality of data listings based on the search terms of the query, compare a first embedding generated by a large language model (LLM) from the search query to second embeddings generated by the LLM for each of the plurality of data listings to determine a respective relevance for each of the plurality of data listings to the search query, and rank the plurality of data listings based on the respective relevance for each of the plurality of data listings to the search query.

The invention relates to the technical field of data processing, in particular to a data exchange method based on a data medium station. The method comprises the following steps: monitoring earthquake activity in real time, and collecting earthquake related data; data cleaning and preprocessing; formatting the data, and pushing the formatted data to a data middle table; integrating and converting to obtain data to be transmitted, pushing the data to be transmitted to each receiving platform according to a transmission demand, and obtaining an actual transmission result of the corresponding receiving platform; and analyzing the actual transmission result so as to adjust the transmission mode. In the data exchange process, whether the real-time data transmission result is matched with the ideal result or not is judged, if the result deviation exceeds the allowable range, the transmission effect is analyzed according to the real-time data, the data transmission process is optimized, the optimal transmission effect is ensured, and the method is adaptive to the complex network environment; the data integrity and the transmission efficiency are balanced, and the real-time performance and the reliability of seismic data transmission are improved.

The invention discloses an ALU operation fusion processing module and method suitable for a neural network, and the module comprises a control unit which is used for receiving and decoding a machine instruction, managing the execution processes of internal and external circulation and microinstruction circulation, and generating a control signal of each stage of a microinstruction assembly line; the microinstruction buffer area is used for storing a microinstruction sequence pre-generated by the neural network compiler; the register file is used for storing source operands and results of ALU operation; each entry of the register file is composed of a valid bit, a tag bit and a data bit; the ALU computing core adopts an SIMD (Single Instruction Multiple Data) architecture and comprises a plurality of paths of parallel arithmetic logic function units; the Load / Store unit is used for processing data exchange between a register file and a local buffer area; and the data selection interface is used for selecting a data source or a target buffer area according to the storage tag field of the microinstruction. According to the method, the high efficiency and the flexibility of the ALU in the neural network hardware accelerator can be effectively considered.

The invention discloses a bridge self-adaptive rapid dismantling system and method based on digital twin and SPMT module vehicles, and the system comprises construction equipment which is used for cutting and dismantling a bridge structure; the SPMT module vehicle cluster is used for bearing and jacking a bridge structure; the digital twinborn decision-making platform comprises a data acquisition module, a simulation analysis module and a control interaction module, and the data acquisition module is used for acquiring operation state data of a bridge structure and construction equipment in real time; the simulation analysis module is used for carrying out stress analysis on the bridge structure, predicting stress distribution in the cutting, jacking and transportation processes, comparing preset data with a threshold value, triggering a corresponding three-level alarm mechanism if the preset data is greater than the threshold value, and optimizing a moving path of the SPMT module vehicle by adopting a preset dynamic path planning algorithm; and the control interaction module is used for realizing real-time data exchange and interaction control among the digital twinborn decision-making platform, the SPMT module vehicle and the construction equipment. The construction safety level and efficiency can be remarkably improved.

The invention provides a neuromorphic computing system and a neuromorphic computing power extension routing method, the computing system comprises a plurality of neuromorphic computing chips, and each computing chip is integrated with a plurality of computing cores; the hierarchical distributed routing network is used for connecting a plurality of computing chips, and the routing network comprises an on-chip routing layer which is arranged in a single computing chip and is used for realizing local interconnection and data exchange between computing cores; the inter-chip routing layer is bridged among the plurality of computing chips and is used for realizing global interconnection and computing power expansion among the computing chips; the routing control module is coupled with a routing network and is used for dynamically selecting and executing a shortest path routing strategy, a load balancing routing strategy or an event-driven routing strategy according to network state information acquired in real time; and the system resource management module is used for performing pooling management and dynamic scheduling on the computing resources of the computing core and the communication resources of the routing network.

The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that perform homomorphic computations on encrypted third-party data within a distributed computing environment. For example, an apparatus receives a homomorphic public key and encrypted transaction data characterizing an exchange of data from a computing system, and encrypts modelling data associated with a first predictive model, such as a machine learning model or an artificial neural network model, using the homomorphic public key. The apparatus may perform homomorphic computations that apply the first predictive model to the encrypted transaction data in accordance with the encrypted first modelling data, and transmit an encrypted first output of the homomorphic computations to the computing system, which may decrypt the encrypted first output using a homomorphic private key and generate decrypted output data indicative of a predicted likelihood that the data exchange represents fraudulent activity.