56results about How to "Reduce communication" patented technology

The invention belongs to the technical field of data privacy protection, and discloses a privacy protection federated learning security aggregation method for medical data. Firstly, before a medical institution uploads medical data of the medical institution, model parameters are disturbed by using a randomly generated secret, and then the secret is shared by using a secret sharing mechanism, so that the problem of offline caused by heterogeneity of the medical institution in federal learning is solved; secondly, encrypting secret fragments received by the medical institution from other medical institutions by adopting a homomorphic encryption technology to ensure data security, and finally, generating homomorphic encryption related parameters through a decryption server and decrypting the encrypted secret fragments uploaded by each medical institution to ensure that the model parameters which cannot be decrypted by the aggregation server, so that the security of the data is ensured. The problem that a malicious server may snoop privacy data is solved. According to the method disclosed by the invention, safe aggregation in a multi-key environment oriented to medical data is realized, and the problems of user privacy disclosure and malicious servers in a federated learning aggregation process are effectively resisted.

The invention belongs to the field of artificial intelligence and finance, and relates to a recommended verbal skill generation method, which comprises the steps of dividing different customer groups based on customer features extracted from historical underwriting data and historical service records, generating customer group portrait tags, obtaining conversation audio data of target customers, and generating a recommendation verbal skill generation result. Matching a target customer group and a target group portrait label of a target customer, preprocessing call audio data, performing voice recognition to obtain text data, obtaining an insurance wish result according to the text data and target customer characteristics, and retrieving a target service verbal skill according to an intention category obtained according to the text data and the target group portrait label; and generating a verbal skill suggestion result according to the target customer features and the target service verbal skill through a verbal skill recommendation model. The invention further provides a recommended verbal skill generation device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and historical underwriting data and historical service records can be stored in a block chain. According to the invention, personalized service verbal skills can be provided.

The invention relates to a multi-unmanned aerial vehicle auxiliary sensing integrated trajectory planning and resource allocation method, which comprises the following steps that a sensing integrated system comprising a plurality of unmanned aerial vehicles, a plurality of ground nodes and a plurality of mobile terminals is established, sensing integrated signals emitted by the unmanned aerial vehicles are received and reflected by the mobile terminals, and the sensing integrated signals are transmitted to the unmanned aerial vehicles; the reflected communication and inductance integrated signal is received and processed by a ground node; constructing a Cramer-Rao bound model of the mobile terminal at the target position of the mobile terminal according to the path loss of the flux-inductance integrated signal; establishing a joint optimization problem based on set constraint conditions by taking minimization of the maximum Cramer-Rao bound of all the mobile terminals at the target positions as a target; and solving the joint optimization problem to obtain the moving track and the transmitting power of the unmanned aerial vehicle and the corresponding ground node. According to the method, perception performance optimization under the constraint of communication performance is realized, and communication and calculation burden of data fusion is reduced on the premise of ensuring the perception performance.

The invention provides a fuzzy privacy set intersection method and system, a medium and electronic equipment, and the method comprises the steps: carrying out the encryption processing of an initial data set X through a homomorphic encryption algorithm, obtaining first data, and obtaining a processed data structure D through a defined space Hash algorithm; the receiver performs homomorphic addition or scalar multiplication operation processing on the first data by using own data Y, and performs confusion processing by using a random number R to obtain second data; after the sender carries out Augment algorithm processing on the random number, a Hash algorithm is carried out to obtain a corresponding Hash value, and the Hash value is recorded as third data to be sent to the sender; and the sender decrypts the second data, processes the second data through an Augment algorithm, executes a PSI protocol with the receiver to obtain fourth data, and compares the third data with the fourth data to obtain intersection data. According to the method, an addition homomorphic technology is adopted for a novel application scene of intersection of the fuzzy privacy set, and compared with a full homomorphic technology in the prior art, the time consumption is less, and the communication is small.

The invention belongs to the technical field of complex system design and model-based system engineering, and particularly relates to an MBSE-based automobile automatic driving system modeling method. The specific process of the method comprises the first step of subsystem-level demand analysis, the second step of subsystem-level functional architecture analysis, the third step of component-level functional analysis, the fourth step of component-level logic architecture design, the fifth step of subsystem-level logic architecture design, the sixth step of component-level physical architecture design and the seventh step of subsystem-level physical architecture design. The method supports full-process modeling of the automatic driving system, and ensures the consistency and integrity of the model on each level.

A virtual network resource allocation method in a multi-server scene is based on a network communication system of a virtual network and a physical network, resources needed by virtual nodes comprise computing power, memory and storage, and the demand of a virtual link is bandwidth; the physical network is composed of physical nodes and physical links, and the core of virtual network resource mapping is that virtual nodes and links are reasonably distributed to the physical nodes and the links; in a multi-server environment, communication among virtual nodes can cross a plurality of physical servers, so that the number and efficiency of cross-host links become the key to influence the system performance; a mapping algorithm based on the adaptation degree is adopted; judging whether the physical node can meet the requirement of the virtual node or not by calculating the adaptation degree between the virtual node and the physical node; the adaptation degree is calculated according to resource requirements of the virtual nodes and available resources of the physical nodes, and only the physical nodes with the adaptation degree reaching a set threshold value are regarded as effective mapping targets.

The invention is applied to the technical field of software development, and particularly discloses an Android system mobile device positioning real-time acquisition implementation method, which comprises the following steps: step 1, acquiring current longitude and latitude information of a device based on a bottom layer GPS module of the device; step 2, using a native Android development tool to combine related function modules with modules officially provided by Uniapp, and uniformly packaging to generate an AAR plug-in; and step 3, using a Uniapp tool to carry out integration with the generated AAR plug-in. According to the Android system mobile device positioning real-time acquisition implementation method, initial longitude and latitude information of a device is obtained for positioning information of the mobile device based on a positioning chip of the device, and the longitude and latitude information obtained by the positioning chip of the device is used as a basis to be compared with positioning information obtained by an Android native AAR plug-in for calibration, so that the accuracy of positioning of the mobile device is improved. Therefore, the real-time and accurate positioning information of the mobile equipment is obtained.

The present invention relates to a multi-agent hierarchical game coordination method and device for an integrated energy microgrid group, including: creating multi-agent deep reinforcement learning parameters; creating an operator master agent; creating a multi-energy microgrid slave agent for each of the multi-energy microgrids in the integrated energy system; based on the multi-agent deep reinforcement learning parameters, the operator master agent and the multi-energy microgrid slave agent, using an improved multi-agent deep determination policy gradient MADDPG algorithm to perform reinforcement learning training on a pre-created neural network to obtain a multi-agent hierarchical game coordination model. The present invention realizes the combination of centralized management and distributed control of each unit in the integrated energy system, enhances the coordinated scheduling of the integrated energy system, increases the reliability of operation, and reduces the communication and computing burden of the system. The present invention also relates to a device and a storage medium.

The invention relates to the technical field of power system automation, and discloses a cooperative control method, system and device for inverters in a power distribution area and a medium, and the method comprises the steps: carrying out the identity authentication of the inverters in the power distribution area through constructing a distributed authentication platform, and constructing a logic neighbor network of the inverters; determining the operation capability of the inverter according to the physical constraint and power operation data of the inverter, and constructing a multi-time scale coordination framework according to the real-time demand of the power distribution area to determine a bidding strategy set of the inverter; constructing a transformer area clearing model considering the safety of the power distribution transformer area, and solving the transformer area clearing model according to the logical neighbor network and a distributed optimization algorithm to obtain a power control instruction of an inverter; the distributed authentication platform monitors the operation state of the power grid in the power distribution area, and when the risk is triggered, a security check algorithm is started to correct the power control instruction, and a power correction instruction is obtained to control the inverter to execute; and under the condition of considering the safety and the cost, the refined cooperation of the district level is realized.

The invention relates to a controller, a control method, a control system and a vehicle, belongs to the technical field of vehicles, and aims to solve the technical problem of low reliability of a compressor and heater controller in the field of vehicle thermal management. The controller comprises a processor, a first power supply circuit, a first control circuit and a second control circuit. The first control circuit is coupled to the first power supply circuit and the processor, and is also used for being coupled to the heating circuit. The second control circuit is coupled to the first power supply circuit and the processor, and is also used for being coupled to the refrigeration circuit. The processor is configured to respond to a received control instruction, convert a first voltage input by the first power supply circuit into a second voltage used for driving the heating circuit to work through the first control circuit, and / or respond to the received control instruction, and drive the heating circuit to work through the second control circuit. And the third voltage input by the first power supply circuit is converted into a fourth voltage for driving the refrigeration circuit to work through the second control circuit.

The application relates to the technical field of Internet of Things data processing, and discloses a local reasoning and abnormality detection method for a wireless sensor network, which comprises the following steps: constructing a hypergraph model according to a sensor node set in the sensor network and corresponding association relations, and defining an energy function; applying a sensitivity constraint to the potential function, so that the potential function satisfies a bounded difference condition; determining a constraint range of coupling strength and a truncation order m; performing local deterministic approximate reasoning to obtain a conditional edge probability of a target sensor node; calculating an abnormality score of the target sensor node, and performing abnormality detection. In the wireless sensor network, a hypergraph Gibbs model with a sensitivity constraint is constructed, and based on strong spatial mixing ensured by theory, the application realizes the probability reasoning of a deterministic error bound only by relying on a limited-step local communication, so that the explainable abnormality detection and positioning are completed on a resource-limited edge device.

The invention provides an information processing method and device and related equipment, which are applied to a network function virtualization platform, the platform comprises a plurality of network elements, each network element comprises a fast path FP module and a distributed slow path DSP module, and the method comprises the following steps: receiving request information at a first network element in the plurality of network elements, acquiring session information corresponding to the request information based on a DSP (Digital Signal Processor) module of the first network element under the condition that the first network element receives the request information and the session information corresponding to the request information is not queried in a fast forwarding table of the first network element; and the FP module of the first network element forwards message information corresponding to the request information based on session information corresponding to the request information. The forwarding paths in the data transmission process are reduced, the information forwarding efficiency is improved, and the network connection delay is reduced.

A terminal according to one aspect of the present disclosure includes a receiving section that receives one or more configurations for radio link monitoring, and a control section that monitors, on the basis of the one or more configurations, a plurality of reference signals corresponding to a plurality of respective communication points in a same carrier. According to one aspect of the present disclosure, it is possible to appropriately perform radio link / beam-related processing for a plurality of communication points.

The embodiment of the present invention provides a transaction information processing method, device and electronic device based on blockchain, and the method applied to the initiating node in the blockchain includes: receiving a transaction proposal; confirming the proposal type of the transaction proposal according to local account data; and sending the transaction proposal to the sorting node in the blockchain when confirming that the proposal type of the transaction proposal is a verifiable transaction. The solution of the present invention can improve the processing performance of blockchain for transaction information.

The invention discloses a supply chain optimization method for beer preparation in advance. Comprising the following steps: calling related parameters configured by a system page as data input; calculating the net demand of the warehouse; calculating to-be-produced capacity of a factory; calculating a capacity gap, summarizing the to-be-produced capacity of each product to a supplier factory and a production line type, and respectively calculating capacity data of the factory and the production line type; production scheduling is simulated, and the forward moving amount is calculated; calculating the maximum stock quantity; sorting a stock order; sequentially distributing according to the sequence; the result is corrected, and the advance stock quantity is output. According to the method, the optimal supplier is found for the demand, the productivity resources are uniformly distributed, cross-district communication is reduced, and the manual compiling time is saved. And meanwhile, by accurately calculating the forward moving amount, accurate planning of stock preparation is realized, the order satisfaction rate is improved with a lower stock water level, the cost is saved, and the warehouse pressure is reduced. And the stock quantity of a single product is limited in a maximum stock quantity mode, so that the stock overstock risk caused by factors such as market fluctuation is reduced.

An optical input / output device (1) includes: a multicore fiber (10) including transmitting cores (11) and receiving cores (12); first transmitting optical fibers (21), first receiving optical fibers (22), a fan-in / fan-out device (30) that optically couples a core of each of the first transmitting optical fibers (21) and the transmitting core (11) and optically couples a core of each of the first receiving optical fibers (22) and the receiving core (12), and a transmission / reception connector (40) including connector ports that optically couple the cores of the first transmitting optical fibers (21) and transmission ports (101) of a transceiver (100) and optically couples the cores of the first receiving optical fibers (22) and reception ports (102) of the transceiver (100).

The present application relates to the technical field of park energy data management, and particularly relates to a zero-carbon smart park comprehensive energy method and system based on big data, wherein the method comprises the following steps: S1, generating a carbon equity unit record; S2, establishing a corresponding source summary for each carbon equity unit; S3, writing the identification information corresponding to the transferred carbon equity unit into the restriction identification set corresponding to the first node; S4, generating a merged source summary; inheriting the source summary before splitting; S5, performing backflow risk verification based on the source summary attached to the to-be-transferred carbon equity unit and the identification information in the restriction identification set; S6, using the registration result for comprehensive energy scheduling and carbon accounting; the method effectively avoids the loss of source information and the risk of repeated offsetting caused by merging and splitting, and facilitates linkage with comprehensive energy scheduling and carbon accounting, thereby improving the real-time performance, implementability and system autonomy of zero-carbon smart park carbon equity management.

The invention relates to the technical field of nuclear power overhaul, and aims to solve the problems of low working efficiency of low-water-level work order preparation personnel and lack of process management and control in a work order preparation stage. The invention provides a nuclear power overhaul low-low water level preparation stage management and control system, and the system comprises a data obtaining module which is used for obtaining work order data; the data processing module is used for acquiring a low-water-level work order; and the process management and control module is used for calculating work order preparation deviation, comparing the current work order state of the work order with the rated work order state required by the power plant management instruction, and if the current work order state falls behind the work order state required by the power plant, considering that deviation exists and triggering reminding. According to the invention, the preparation condition of the low-water-level project can be displayed in all directions, especially the preparation deviation is reminded, and the working efficiency of the low-water-level work order preparation personnel is greatly improved. And overhaul management personnel can promote the progress of low-water-level preparation according to the overall deviation of low-water-level project preparation.

This invention relates to the field of enterprise digital management technology, and particularly to an enterprise digital operation management method and system. The method includes: acquiring business activity data, extracting the interaction strength between business activities, and clustering multiple business activities into multiple intelligent agents; extracting technical metadata from the target system's data dictionary and interface documents, constructing a metadata knowledge graph using the technical metadata, and providing data interfaces for the intelligent agents using the data knowledge graph; based on the data interfaces, each intelligent agent uses a probability prediction model to generate a probability distribution of future external variables, and makes individual decisions based on the probability distribution; determining whether there is shared resource coupling in the individual decisions of two intelligent agents, and if so, introducing a collaborative mechanism to correct their independent decisions through shadow prices so that the individual decisions reach global optimality.

The invention relates to the field of power grid optimization, and provides a Nash equilibrium-based decentralized reactive power optimization method for an alternating current / direct current hybrid power distribution area, which comprises the following steps of: S1, dividing the alternating current / direct current hybrid power distribution area into a plurality of independent optimized areas; s2, constructing a target function and related constraints of each region to form a decentralized voltage reactive power optimization model; s3, independently solving the decentralized voltage reactive power optimization model of each region by adopting a Nash equilibrium algorithm to obtain an optimal solution of each region; and S4, according to the Nash equilibrium solution of the reactive power optimization model obtained in the step S3, distributing reactive power output of distributed energy sources and reactive power sources in the alternating current and direct current hybrid power distribution area, and realizing the minimum active power loss of the alternating current and direct current hybrid power distribution area. According to the method, the reactive power source share in the distribution area is optimized, so that the utilization efficiency of reactive power sources such as distributed renewable energy sources and capacitors is improved, and the privacy security of users in each area is reliably protected.

The invention discloses a spacecraft adaptive sliding mode saturation formation control method and system based on SE (3), and belongs to the technical field of spacecraft control. The method comprises the following main processes: modeling a system model by utilizing SE (3), and describing the attitude and orbit of a spacecraft; performing error design based on attitude dynamics to obtain a configuration error function; designing a self-adaptive sliding mode saturation controller based on kinematics and dynamics models of a rigid body dynamics system of SE (3) in combination with a configuration error function; a periodic event triggering strategy is provided, and the control rate of the spacecraft is periodically updated. According to the method, event trigger control and periodic sampling data control are combined through the self-adaptive sliding mode saturation controller, the Zeno phenomenon is avoided so as to reduce resource consumption, the unified lower bound of interaction time is deduced, high-precision control of the spacecraft during on-orbit task execution is guaranteed, and the method has the advantages of being simple in structure and convenient to operate. And meanwhile, the formation collision phenomenon is also avoided.

The invention relates to an automatic power generation control method and equipment based on a base station standby battery virtual power plant. The automatic power generation control method comprises the following steps: S1, acquiring a real-time state vector of each 5G base station; s2, adopting a frequency modulation signal conversion method based on virtual clearing to obtain a unified control signal in a virtual power plant of the standby battery of the base station, and specifically, obtaining an AGC frequency modulation signal, and calculating the total response power of the VPP; constructing virtual bidding vectors of the 5G base stations, and aggregating the virtual bidding vectors into a stepped virtual bidding curve; the intersection point of the virtual bidding curve and the total response power is solved, and a unified control signal in the B3VPP is obtained; and S3, converting a unified control signal in the B3VPP into the actual response power of each 5G base station standby battery through a response algorithm, adjusting the charging and discharging states of each standby battery, and coordinating and controlling automatic power generation. Compared with the prior art, accurate response of the B3VPP to the AGC frequency modulation signal is realized through a distributed control mechanism, and the standby power demand of communication equipment in each base station is guaranteed.

Embodiments of this application disclose a method for reducing a peak-to-average power ratio PAPR, and a communication apparatus, and are applied to a transmitting system including a power amplifier. In the method, a reserved resource may be determined based on a first unscheduled resource in transmission bandwidth and / or a second unscheduled resource in guard bandwidth, and a fixed reserved resource in a conventional technology does not need to be used. Therefore, flexibility of determining the reserved resource can be improved, and flexibility of reducing a peak-to-average power ratio PAPR in a frequency domain resource reservation TR manner can further be improved.

The application provides a log information-based system simulation method and device, equipment and a storage medium, wherein the method comprises the following steps: printing the request interface and parameters of an application system and a response result into the system log of the application system with matched labels; acquiring the interface list and state requirements of the application system and acquiring the system log of the application system; extracting data from the system log, extracting request data and response data, and forming a data pair; constructing a third-party simulation system based on an MLP regression model, and training the MLP regression model by using the data pair as the input parameter of the MLP regression model. The log information-based system simulation method provided by the application can generate a reliable simulation system by analyzing the application system log without detailed interface documents and instruction manuals, which is beneficial to reducing communication problems and cooperation costs and improving the development and test work efficiency.

The invention provides a universal operation mistake and omission prevention method and device which are applied to a product operation line, the product operation line comprises a plurality of operation devices, and each operation device is provided with a switching value sensor. The method comprises the following steps: pre-executing corresponding operation equipment based on a standard execution sequence in an operation presetting stage; obtaining a standard state set corresponding to the standard execution sequence according to whether the operation equipment operates or not to obtain a standard signal value of a switching value sensor corresponding to each operation equipment; in the operation detection stage, operation signal values of switching value sensors corresponding to all operation devices are obtained, and an operation state set is obtained; and comparing the operation state set with the standard state set, and judging whether the current operation execution sequence is wrong or not. Whether the corresponding operation equipment operates or not can be judged only according to the on-off state of the switching value sensor, the operation state of the operation equipment can be obtained without detecting other parameters, and the production cost is reduced.

The present invention provides a simulation deduction method, device and equipment for an OPM model, including: obtaining an OPM model to be deduced; parsing the OPM model to merge and select the objects and the association relationships between the objects contained in the OPM model to obtain the object association relationship; wherein the objects include objects and processes; generating an executable simulation deduction code based on the object association relationship, loading and running the simulation deduction code, to obtain the loading and running process of the simulation deduction code and / or the simulation deduction result corresponding to the OPM model. The present invention can realize the dynamic simulation deduction of the OPM model, improve the comprehensibility of the model, and thus help reduce the cost of multiple people communicating and understanding the model.

The invention belongs to the technical field of blockchain security, and discloses an industrial Internet of Things anonymous responsibility-traceable data editing method and system based on a blockchain. The method comprises the following steps: generating a chameleon Hash trap door by a trusted mechanism, splitting the chameleon Hash trap door into shares by using threshold secret sharing, distributing the shares to verifier nodes, and initializing a dynamic accumulator; the owner encrypts the production data and formulates a modification strategy, and generates a hash value and an initial voucher by using chameleon hash and uploads the hash value and the initial voucher to a chain; the modifier initiates a request containing zero-knowledge proof, after verification is passed, the verifier node generates partial vouchers by using the trap door share, and the modifier aggregates the partial vouchers into a one-time voucher to complete editing; and the trusted mechanism decrypts the identity of the malicious modifier, moves the malicious modifier out of the dynamic accumulator and updates the revocation list. According to the method, trap door leakage is prevented through a threshold sharing mechanism, zero knowledge proof and a dynamic accumulator are combined, and effective tracking and permission revocation of malicious behaviors are realized while identity privacy of a modifier is guaranteed.

The invention provides a processing method, device and system for a distributed graph data structure, the method is applied to a target process in a distributed system, the distributed system further comprises other processes communicating with the target process, one edge in the graph data structure is distributed to one process in the distributed system, and in the ith iteration, one edge is distributed to one process in the distributed system. The method comprises the steps that sub-graphs propagated by all processes in the distributed system are obtained, edge positioning is conducted on edges in any sub-graph in the obtained sub-graphs, a target edge is obtained, edge positioning results of the same sub-graph under different processes are the same, edge positioning results of different sub-graphs under the same process are different, and the target edge is obtained. And if the target edge is not the edge allocated to the target process, the target process does not need to process any sub-graph, any sub-graph is constructed by the process allocated with the target edge, and the sub-graph constructed by the ith round of iteration is propagated.

The invention discloses a trusted cross-organization process mining method and system based on a block chain, and the method comprises the steps: filtering an original event log, and obtaining an interaction event log; private and public process models are mined by using the original and interactive event logs; the public process model after block chain smart contract verification is linked and synchronized among the nodes; any organization submits the merging operation as a transaction to a block chain, and the block chain is driven by a smart contract to fuse the public process model of each collaborative organization into a global public process model and synchronize the global public process model; any organization submits the simplified operation as a transaction to a block chain, the block chain is driven by a smart contract, and public process model fragments related to the own side and the own side related collaborative organization are obtained and synchronized according to global public model simplification; and integrating the public process model fragment and the own private process model under a block chain to generate a cross-organization collaboration process model from a local organization perspective. According to the invention, mining and optimization of cross-organization business processes are facilitated.

This disclosure relates to a method, apparatus, device, and medium for dynamic multi-environment publishing of WeChat Mini Programs. The method includes: obtaining a configuration file set and a private key certificate; packaging and compressing the configuration file set and private key certificate; sending them to the object storage server corresponding to the WeChat Mini Program platform; responding to receiving the target code to be uploaded on the code hosting platform; retrieving the target WeChat Mini Program parameter set corresponding to the target code from the object storage server; modifying the target configuration file corresponding to the target WeChat Mini Program parameter set according to the target code; and transmitting the target configuration file to the WeChat Mini Program publishing script according to the target private key corresponding to the target configuration file, so that the WeChat Mini Program publishing script publishes the Mini Program source code in the target configuration file to the WeChat Mini Program platform; and receiving the upload notification result sent by the WeChat Mini Program publishing script. This automates the code upload process, reducing the manual cost of code transmission in multiple environments.