53 results about "Logic network" patented technology

The invention discloses a power failure and recovery logic-based power supply fault diagnosis method for a low-voltage power distribution network, which belongs to the technical field of power supply fault diagnosis and comprises the following steps of: converting a user unstructured power failure complaint into a standardized event tag by utilizing a natural language processing technology, synchronously aligning an ammeter power failure pulse and a branch switch action record, and performing power failure diagnosis; constructing a multi-dimensional space-time event sequence; a fault propagation logic network is established through power supply unit topology division, a fault diffusion path is deduced according to a power failure time sequence difference of adjacent units and a failure state of a protection device, and an initial fault point is reversely positioned. And meanwhile, the fault association probability between the units is dynamically corrected, and a weighted candidate fault chain is generated. And through multiple verification mechanisms, the fault propagation tree is reversely corrected. And finally, calculating the confidence coefficient, and screening out the fault chain with the optimal time-space consistency. The problems of multi-source information splitting, space-time correlation weakening and insufficient verification reliability in low-voltage power distribution network fault positioning are solved.

The invention discloses an air-sea cross-domain network slice configuration and response method based on a CTC8180 chip, and belongs to the technical field of air-sea cross-domain communication and network slicing, and the method comprises the steps: S1, configuring and parallelly accessing NETCONF and CLI paths, and converting a configuration instruction into a CTC8180 chip call instruction; s2, creating a resource pool, a logic port, a binding interface and a VRF strategy based on a FlexE technology; s3, finishing forwarding and mapping configuration of a slicing strategy by combining SRv6 path programming, service level mapping and gport identification slice identification; s4, performance monitoring, data acquisition and fault detection are carried out through three protocols; s5, closed-loop control is formed through resource dynamic adjustment, path switching, strategy linkage and the like; and S6, multi-chip compatibility and stable adaptive deployment are realized through the steps of integrating S1 to S5. The invention provides a specific implementation method for constructing logic network slicing capability on high-performance forwarding hardware for air-sea cross-domain specific requirements, and provides reliable communication guarantee for high-dynamic heterogeneous services.

The invention relates to the technical field of CAM intelligent programming, and discloses a CAM programming algorithm and system based on a generative artificial intelligence large model. The algorithm comprises the steps of analyzing a CAD document, fusing geometric features, tolerances and material information through a generative artificial intelligence large model, and generating a structured semantic skeleton. Then, the semantic skeleton is matched with a process knowledge base, a preliminary processing instruction cluster is generated, and a dynamic processing graph with a node dependency relationship is constructed; secondly, receiving an editing intention of a user for the graph, analyzing the intention by using a generative artificial intelligence model, and automatically reconstructing node logic and connection of the graph to form a corrected processing logic network; and finally, before execution, simulating a network execution process by using a generative artificial intelligence model, and identifying potential logic and resource conflict nodes. According to the invention, intelligent conversion from design to processing instructions, and intent-driven process chain dynamic optimization and conflict pre-verification are realized.

The invention relates to an intelligent document review method, device and equipment and a medium, and the method comprises the steps: carrying out the structural element extraction and logic relation labeling of a legal document, and constructing a demonstration logic network model; based on legal argumentation rules, automatically detecting argumentation chain breaking points and semantic contradiction nodes, and quantifying conclusion reliability strength; and accurately positioning the position of the conflict original text and generating a natural language report capable of executing the repair suggestion. According to the method, the defects that in the prior art, deep logic breakage cannot be systematically recognized, argumentation reliability quantitative evaluation is lacked, and conflict positioning is fuzzy are overcome, automatic and interpretable review of the hidden logic conflict of the legal document is achieved, and the logic preciseness review efficiency of the judgment document is remarkably improved.

Some aspects utilize an iterative process to synthesis a logic network within an ASIC using lookup table (LUT) optimization techniques. The logic network may be represented by an And-Inverter graph (AIG), as described in more detail below. On each iteration, the current AIG representation of the logic network is mapped to a network of k-LUTs. A k-LUT is a lookup table that can represent any function of k variables. This network may then be improved using LUT optimization techniques. The improved network of k-LUTs is decomposed into a trial AIG representation, which may be further improved for example by applying Boolean-based optimization techniques. The current AIG representation may then be updated in accordance with the quality of the trial AIG representation produced by the current iteration. The final AIG representation from the iterations is synthesized to a netlist of standard cells.

The invention discloses a railway construction simulation model generation method based on full-line design parameters, and relates to the technical field of model simulation. Line track geometric parameters, geological exploration data, bridge and tunnel structure parameters, construction mechanical performance indexes and environment constraint conditions are collected, a multi-source heterogeneous database is constructed, and a simulation model is generated; the method comprises the following steps: constructing full-line design parameters after space coordinate unification and data cleaning, establishing a space-time dependency relationship of construction elements based on a railway line segmentation topological structure, generating an initial construction logic network, and optimizing the construction logic network according to construction efficiency, a resource scheduling rule and a dynamic constraint condition, so as to obtain a construction result; parallel construction events in the railway construction process are defined, full-line design parameters and a construction logic network are mapped into a three-dimensional visual simulation model of railway construction through a parametric modeling engine, real-time railway construction data are introduced, the construction delay probability of railway construction is predicted, and the construction delay probability of railway construction is calculated. And determining whether to carry out construction process adjustment and construction resource redistribution.

The present disclosure provides a method for training an interpretable differentiable logic network (DLN) for classification tasks. The method includes initializing a DLN and iteratively training the DLN by alternating between two phases for a predetermined number of iterations. In a first phase, neuron functionality parameters are learned while fixing neuron connections such that a link between any two neurons is either 0 or 1. In a second phase, neuron connection parameters are learned while fixing neuron functionalities such that each neuron performs only one discrete logic operation among all possible operations. The DLN comprises a ThresholdLayer to convert continuous inputs to binary values, at least one LogicLayer to perform binary logic operations, and a SumLayer to aggregate outputs for classification.

The invention relates to the technical field of robot intelligent interaction and control, and discloses an accompanying robot control method and system. The method comprises the steps of constructing a dynamically evolved narrative logic network, and generating narrative development path bundles of a plurality of time windows in the future through probability deduction. The potential user intention is analyzed for each path, and intention-behavior mapping is established and instantiated into an executable behavior spectrum. During operation, the dynamic matching degree is calculated through real-time feedback, and an adjoint degree attenuation monitoring mechanism is set; and when the matching degree is continuously lower than a threshold value, backtracking and reconstruction of the narrative path are triggered, so that the network jumps to a new development node. According to the method, the robot can perform active prediction and dynamic narrative adjustment on the interaction plot, so that the continuity, the initiative and the situation adaptability of long-term accompanying interaction are enhanced.

The invention belongs to the technical field of integrated circuit design automation, and discloses an FPGA process mapping method and system based on bias learning, and the method comprises the steps: S1, carrying out the KLUT input lookup table mapping of an input logic network, and obtaining initial mapping; s2, on the basis of the initial mapping, constructing a dependency graph, and obtaining a dependency relationship between a cut set of each node and a leaf node of the cut set; s3, initializing an increment table based on a dependency relationship between the cut set of each node and a leaf node thereof, and calculating an area increment of each candidate cut set of each node relative to the current optimal cut set; s4, based on the area increment of each candidate cut set of each node relative to the current optimal cut set, executing multiple rounds of offset learning iterative optimization; and S5, learning experience from the local optimal solution of the current round, recovering a global optimal solution, and outputting a result.

The invention relates to the technical field of network security and information, in particular to an Agent surveying and mapping method and system for isolating network blind area asset discovery, and the method comprises the steps: deploying an Agent at a terminal, collecting local data including an ARP cache, a network connection table, a hardware fingerprint and a behavior portrait, and encrypting and uploading the local data. The main control center performs asset deduplication and identity verification based on hardware fingerprints, processes connection data by using a time window alignment and session continuity analysis algorithm to solve association ambiguity caused by time sequence dislocation and temporary connection, and establishes a cross-Agent connection relationship with high confidence. And finally fusing the connection relation and behavior portrait data, and incorporating the data into unmanaged assets found by a link layer to synthesize a global asset topology of a cross-logic network segment. According to the method, the coverage rate, the identification accuracy and the real-time performance of asset discovery in a complex isolation network environment are improved, and meanwhile, the interference risk of a scanning process on a service network is eliminated.

The invention relates to the technical field of transmission resource allocation, in particular to a dynamic allocation device and method for network slice resources, and the method comprises the steps: collecting the data of the network slice resources, carrying out the preprocessing of the data, and calculating the transmission blocking degree of a virtual logic network through the transmission rate and the transmission queue length of the network slice resources; calculating the congestion increase of the network slice resources by using the transmission queue length of the network slice resources; and according to the transmission obstruction degree of the virtual logic network and the congestion increase performance of all network slice resources in the virtual logic network, the transmission load supplement amount of the virtual logic network is calculated, the reserved resource amount is allocated, and the additional resource allocation amount of each virtual logic network is obtained. The invention aims to improve the accuracy of network slice resource allocation and ensure that the resource allocation better meets service requirements.

The invention discloses an embedded single-network-port multi-IP communication device, and a dynamic configuration method, a data transmission method and a fault recovery method of the communication device. The communication device comprises an embedded microprocessing system, a storage system, a man-machine interaction interface, a network input and output interface and a double-logic network interface virtualized in core control software, and the network input and output interface is a single physical Ethernet interface. And the dual-logic network interface comprises a fixed interface and a dynamic interface which share the same physical network port. The method provided by the invention adopts the communication device. Parallel communication of double logic IP addresses is realized through the single physical network port, the hardware cost and the integration level are optimized, the flexibility and the real-time performance of network configuration are improved, the reliability and the maintainability of the system are enhanced, and the resource utilization rate is improved.

The invention relates to the technical field of communication, and discloses a virtual network state connection tracking method and device, equipment and a medium, and the method comprises the steps: determining logic network information; arranging a logic flow table according to the logic network information through the central translation component to obtain a target logic flow table; mapping the connection tracking submission action in the target logic flow table into corresponding physical action information in the physical flow table through the local controller; a local controller configures a connection tracking state space for a local host to submit a connection tracking submission action for all target routing port information according to a constructed context table, and updates a forwarding path of a physical flow table. And enabling the flow to quote the corresponding connection tracking state space according to the updated physical flow table and execute the physical action information for forwarding. According to the technical scheme provided by the invention, the consistency of connection tracking state identification can be ensured during cross-host flow processing in the OVN distributed virtual network control system, so that a security guarantee is provided.

A disclosed technique includes based on a clock pattern, determining an enable configuration for setting enable signals for one or more multi-cycle paths of a hardware logic network; controlling a selector to set the enable configuration for the one or more multi-cycle paths; and executing testing operations for the hardware logic network with the one or more multi-cycle paths enabled according to the enable configuration.

The invention provides a low-energy-consumption green building intelligent operation method based on multi-environment perception and cooperative control, and relates to the technical field of building intellectualization, and the method comprises the steps: constructing a feature vector fusing an environment state and an equipment operation state, generating a candidate cooperative control strategy through a random forest model, and carrying out the cooperative control of the candidate cooperative control strategy; building load and photovoltaic supply are respectively predicted based on the two-way prediction logic network, and expected net energy consumption corresponding to each control strategy is calculated; a constraint optimization mechanism is constructed in combination with the dynamic energy consumption reference curve, an optimal control strategy meeting the daily energy consumption limit value is screened and converted into an equipment execution instruction, and multi-equipment cooperative regulation and control are achieved; after control is executed, on-line correction is carried out on a prediction model based on actual measurement data, positive and negative marking is carried out on a control sample according to whether actual energy consumption is superior to a dynamic energy consumption standard or not, and the method is used for self-adaptive updating of a random forest model, so that the building energy efficiency and the accuracy of a control decision are continuously improved on the premise that energy consumption constraints are guaranteed.

The invention relates to the field of artificial intelligence, knowledge maps and science and engineering logical reasoning, and provides a strict triple construction and reasoning method based on a science and engineering knowledge point logical network. The method comprises the steps of knowledge point input and unique identifier generation, logic connection line (triple) construction, Fog aggregation and hierarchical division, bridge cross-layer logic generation and hierarchical reasoning based on lowest common superior fog (LCAF). The system realizes multi-layer aggregation and dynamic adaptive adjustment of knowledge points through fog, establishes a cross-domain logic path through a bridge, and generates a verifiable optimal logic chain in combination with a graph theory algorithm. The method can be widely applied to the fields of scientific research knowledge modeling, artificial intelligence training, educational reasoning and interdisciplinary knowledge visualization, and has the advantages of being rigorous in structure, traceable in reasoning, high in expandability and the like.

A method is performed by a vehicle system for handling configuration of a vehicle. The vehicle system obtains a request for a service to be provided on-board the vehicle. The vehicle system compares a current configuration with a required configuration of network capabilities that the vehicle is required to have to be capable of hosting the service. The network capabilities comprise one or more containers and / or one or more logical networks connecting containers to one another and / or to one or more offboard resources. When a result of the comparing indicates that the current configuration is different than the required configuration, the vehicle system triggers the vehicle to reconfigure its current configuration of network capabilities such that the vehicle comprises the required configuration of the network capabilities and is thereby capable of hosting the service.

The invention relates to a knowledge graph reasoning method oriented to information with time information, and belongs to the field of knowledge graph reasoning. The method comprises the following steps: initializing acquired intelligence with time information, vectorizing a head entity and a tail entity in a fact by utilizing embedded learning, and capturing a time dependency relationship of a timestamp sequence to generate high-dimensional time; using a scoring function to score unknown facts in the knowledge graph and then converting the unknown facts into approximate posterior probabilities of the unknown facts; generating a Markov logic network by using a time logic rule mined from the knowledge graph, and establishing a known and unknown fact joint probability distribution model for solving an unknown fact probability; and iteratively solving the joint probability distribution model by using variation reasoning and taking the approximate posterior probability of the unknown fact as initial input, and predicting the unknown fact. According to the method, stable prediction under the sparse sample condition is realized, and the method has relatively high information extrapolation capability.

A disclosed technique includes based on a clock pattern, determining an enable configuration for setting enable signals for one or more multi-cycle paths of a hardware logic network, setting the enable configuration for the one or more multi-cycle paths, and executing testing operations for the hardware logic network with the one or more multi-cycle paths enabled according to the enable configuration.

The application discloses a complex action recognition method and device based on a learnable Markov logic network, comprising: using a policy network to automatically learn a set of logic rules corresponding to each action from training data; cutting a video to be detected into a plurality of video clips, and calculating a confidence score for a <action participant, visual relationship, object> triple in each video clip; inputting the set of logic rules and the confidence scores of all triples in a video clip into an improved Markov logic network to obtain the occurrence probability of each action in the video clip; and obtaining an action recognition result of the video to be detected according to the occurrence probability. The application does not need to rely on the definition of a domain expert, has significant interpretability and good compatibility and efficiency, and can not only recognize the category of an action, but also locate the position of the action in a video clip.

The application is a reel screen motion simulation method, device, equipment and storage medium. One, import the reel screen 3D model into Deltagen software; two, topological subdivision is carried out on the reel screen 3D model; three, check the surface normal direction of the reel screen 3D model; four, classify the reel screen components; five, give the material to the reel screen components; six, calculate the material UV of the components; seven, make the motion simulation process of the motion components, set the key frame for the limit position of the reel screen respectively; eight, set the transparent attribute for the material change component; adjust the reel screen animation to two limit positions, adjust and record the UV parameter at each place; nine, design the program in the logical network editor, match the animation state at the limit position with the corresponding material UV state; ten, the reel screen motion simulation is completed, trigger the model display. The application can observe the effect of motion simulation in real time and modify at any time, and improves the efficiency and quality of motion simulation.

The invention provides a distributed intelligent data management system and method based on cloud computing, and relates to the technical field of intelligent communication. The method comprises the following steps: performing time slice segmentation and snapshot mapping analysis processing on a user terminal interaction signaling data stream to obtain an accurate and continuous signaling track data set; constructing an electronic fence logic network containing a parent region grid and a child hotspot grid, calculating a user terminal signal residence confidence coefficient, and screening out a target user terminal meeting a deep residence condition; calling target user terminal interaction information, executing rule mutual exclusion verification of the reverse sliding time window, and generating a service release instruction; and calling the cloud structured data template to render content in real time, and scheduling and issuing a personalized service message data packet. According to the invention, accurate identification of user behaviors and safe and efficient pushing of personalized information are realized, and service accuracy and user experience are remarkably improved.

A method for generating a logic-based evaluation result for an automated subsumption of a life situation, in particular under applicable legal norms. The steps may include: providing data documenting the facts of the case, the data comprising at least textual, pictorial, natural and / or other evidence; processing the provided data by a machine learning model to extract relevant information from the data and to present it in a structured form; matching the structured information with legal norms and / or requirements by a logic network that draws logical conclusions based on the extracted information and the legal requirements; assessment of the life situation by subsuming the extracted information under the applicable legal norms based on the results of the logic network; and output of an assessment result that includes an assignment of the life situation to the legal norms.

The application discloses a network load expansion planning method and system based on network resilience recovery degree, and the method comprises the following steps: constructing a network configuration scheme with optimal network resilience, and obtaining a mapping relationship between logical network edges and physical network edges in the network configuration scheme; arranging each physical network edge in the network configuration scheme in descending order according to the number of mapped logical network edges, screening out N physical network edges with the largest number of mapped logical network edges as expansion candidate physical network edges; under the constraint of the length of the new optical cable that can be added, selecting the candidate physical network edges with more mapped logical network edges for backup to obtain an expanded network configuration scheme. The application is applied to the field of network load configuration and expansion, and the part of the physical network edges with the largest number of mapped logical network edges are backed up and expanded, so that the best attack scheme of the rational opponent can be effectively coped with, and the availability and performance stability of the network service can be effectively ensured.

The invention discloses a service data downloading control system based on equipment attributes. The service data downloading control system comprises the following steps: acquiring equipment fingerprint information of terminal equipment and performing credibility verification to generate an equipment attribute judgment result; routing the access traffic to a corresponding logic network channel through a traffic scheduling strategy based on an equipment attribute judgment result, and allocating a unique network exit address; configuring an access control list taking a network exit address as a judgment basis at the gateway; and filtering and controlling the access request of the service data interface in real time according to the access control list, and only responding to the white list address set request. According to the method and the device, the data downloading behaviors of terminal equipment with different attributes are finely and differentially controlled, the safety protection level of enterprise business data when external equipment is accessed is effectively improved, and meanwhile, the normal data acquisition requirement of legal equipment is considered.

The invention relates to the technical field of industrial production digital management and data processing, in particular to a full-process digital management system for a power distribution switch equipment production order, which comprises an order data panorama construction module, an order data processing module and an order data processing module, the order logic path deduction module is used for constructing a resource-constraint-free logic network and deducing an ideal milestone plan axis; the order fulfillment risk simulation module is used for injecting interference factors to simulate and generate a theoretical delay plan axis; the performance deviation characteristic comparison module is used for calculating a real deviation vector and a theoretical risk deviation vector; the delay attribution management and decision module is used for calculating a vector form similarity and outputting a supply chain collaborative early warning or working hour quota revision instruction according to a threshold value; according to the invention, reasonable time consumption and abnormal lag are effectively stripped, and the production decision accuracy is improved.

The invention provides a fingerprint quality evaluation method and device, related equipment, a medium and a program product, relates to the technical field of communication, and aims to solve the problem of relatively low efficiency of a fingerprint acquisition system in related technologies. The method is applied to a terminal, and comprises the following steps: sending a fingerprint verification request to an access and mobility management function (AMF) network element, the fingerprint verification request carrying fingerprint acquisition technology information supported by the terminal; the fingerprint verification request is used for the AMF to request to allocate a storage space address from a radio access network (RAN) and to request fingerprint quality evaluation model information from a personality authentication function logic network element (AKMPF); receiving a fingerprint verification response sent by the RAN, wherein the fingerprint verification response carries a first storage space address and a first sample collection parameter; performing fingerprint collection based on the first sample collection parameter to obtain a first fingerprint sample; and sending the first fingerprint sample to the RAN based on the first storage space address. The efficiency of the fingerprint acquisition system can be improved.

The invention discloses a forwarding path determination method, electronic equipment and a readable storage medium, and belongs to the technical field of network communication. The method comprises the following steps: acquiring service flow information of each target service flow, wherein the target service flow is a service flow corresponding to a target service flow category in a target logic network; determining at least one candidate forwarding path corresponding to each target service flow from the target logic network through a network calculation algorithm and a traditional path search algorithm based on the service flow information corresponding to each target service flow; and determining a target forwarding path for forwarding each target service flow from at least one candidate forwarding path corresponding to each target service flow according to the network calculation algorithm and the service flow information corresponding to each target service flow.

The invention discloses a real estate auditing business partitioning system and method based on a snakelike algorithm model, and the system comprises a task correlation analysis module which is used for analyzing the internal correlation attributes of auditing business pieces, constructing a task logic network, and guaranteeing that correlation tasks are processed by the same working group; the dynamic rule engine module is used for configuring a partition business rule; and the snakelike partition processing module is used for executing partition according to a snakelike line according to a partition service rule. According to the method, the full-automatic distribution and delivery process is adopted, the labor cost is saved, the distribution number of workers can be dynamically balanced, and it is ensured that monthly / annual performance goals are collaboratively achieved.