53 results about "Identity mapping" patented technology

The invention relates to a data updating method and device, electronic equipment and a computer program product, relates to the technical field of communication, and can be applied to a dynamic data updating scene of a network function. The method comprises the following steps: receiving a network function dynamic data updating notification sent by a unified data storage function UDR, and updating a local network function group identifier and user identity mapping relation table; the network function dynamic data update notification is generated by a unified data storage function UDR when a change in the dynamic data is detected. According to the invention, after the unified data storage function UDR detects that the dynamic data is changed, the notification is sent to the consumer of the UDR, so that the consumer of the UDR updates the local network function group identifier and user identity mapping relation table, and dynamic data updating is realized.

The invention discloses a real scene image defogging method based on large kernel convolution and physical perception fusion, and relates to the field of image defogging, and the method comprises the following steps: building a defogging model which comprises a large kernel strip convolution module and a double-flow physical perception fusion convolution network; collecting a training data set; a multi-scale physical defogging network is trained; defogging the real scene image; a large-kernel stripe convolution module in the convolution network adopts a multi-branch structure design, and the multi-branch structure comprises a local branch, a global branch and an identity mapping branch; the local branches are used for extracting fine-grained textures; the global branch is used for modeling structural features in horizontal and vertical directions; the identity mapping branches are used for transmitting original features. According to the method, multi-branch collaboration and direction perception are set in large-kernel strip convolution, so that the combined modeling capability of the network to local textures and long-distance directivity features is improved, and the adaptability to complex non-uniform haze is enhanced.

The invention relates to a multi-tenant unified storage routing table item compression method and system based on identification mapping. The method comprises the following steps: in a routing table entry insertion stage, dynamically distributing a minimum available reduce ID for each new tenant, and ensuring that an IP prefix space of the new tenant is not overlapped with a tenant using the same reduce ID; in the lookup stage, a message VNI is firstly converted into a reduce ID through a mapping table realized based on an RAM, then the reduce ID and a destination IP are used as a joint key to look up the TCAM, and by constructing a mapping relation from the VNI to the reduce ID, the table item bit width of the TCAM is remarkably reduced on the premise of ensuring the routing correctness. The method is suitable for an IPv4 / IPv6 multi-tenant environment, the hardware area and power consumption can be effectively reduced especially in an FPGA or ASIC high-performance data plane, and meanwhile the line speed forwarding capacity is kept.

This invention relates to a driving method and system for improving the compatibility of network interface cards (NICs) and optical modules, comprising: acquiring optical module identity data, NIC identity data, and an identity mapping table; the optical module identity data includes an optical module manufacturer's equipment identifier and an optical module manufacturer's name; if the optical module manufacturer's equipment identifier is a first identifier, a first information table is generated based on the NIC identity data and the identity mapping table; new optical module identity data is obtained based on the NIC identity data and the first information table, and the new optical module identity data is sent to the NIC's receive buffer; the NIC chip reads the new optical module identity data from the NIC's receive buffer. This invention generates a first information table, selects new optical module identity data compatible with the NIC from the first information table, and sends the new optical module identity data to the NIC chip. This enables data transmission between the optical module and the NIC when the NIC and optical module cannot connect or data transmission is unstable, thereby improving the compatibility of the NIC and optical module.

The application discloses a conference audio processing method and device and a storage medium thereof, and belongs to the technical field of audio. The conference audio processing method comprises the following steps: acquiring current orientation information in multiple groups of conference audio signals collected by different collection channels; matching the current orientation information with a preset orientation-identity mapping table; and if the matching is successful, taking a target identity corresponding to the current orientation information in the orientation-identity mapping table as a speaker identity of the conference audio signal. The application solves the technical problem that the process of identifying a speaker by using a voiceprint in the prior art is complicated.

The present disclosure is directed to a managed cloud-based FIDO authenticator implemented with a distributed switchboard system. The disclosed switchboard implementation enables proxy automation and management of FIDO-related service, including registration and / or access operations, between FIDO service requesting and relying parties. The described process is based on generation of a single pre-validated and personalized identity token, based on validation, tokenization and identity mapping of an identification record associated with a FIDO service-requesting entity (SRE). The generated FIDO identity token can be used as a validity signature for streamlined resolution of identity for generation of FIDO access credentials. The managed FIDO authenticator further provides a FIDO credential management and recovery features for user and / or client applications reliant upon FIDO-authenticated services. The distributed switchboard implementation further enables implementation of a federated FIDO services for a distributed application whereby various FIDO-reliant application components can perform their own FIDO authentication via the distributed switchboard.

This invention discloses a unified image anomaly detection method based on pseudo-anomalies and contrastive learning. The method constructs a dual-teacher model containing teacher and student networks with identical structures. During training, a twin data flow strategy is employed: on the one hand, the original normal image data flow is preserved; on the other hand, multi-scale simplex noise and external textures are fused to generate pseudo-anomaly images and pixel-level masks, forming a pseudo-anomaly data flow. The network is segmented at the deep feature output end according to the data flow direction, calculating the spatial contrast loss to ensure the fidelity of normal feature reconstruction, the anomaly boundary loss guided by the mask to push away anomalous features, and the global class-aware contrast loss to separate multi-class semantics. This invention overcomes the identity mapping bottleneck of traditional unsupervised networks in multi-class unified scenarios, solves the feature confusion problem, and achieves high-precision multi-class unified anomaly detection without class priors.

A method of using a computing device executing to interrelate two or more corpuses of dissimilar data that includes receiving input data from each of two or more corpuses of dissimilar data. The computing device computes a pass for each of the input data into two or more encoder-decoder models. The computing device further obtains a prediction of an identity mapping for each of different domains of knowledge from each of the two or more encoder-decoder models. The computing device additionally computes a distribution distance metric as an output from each of a low-dimensional embedding vector representation from each of the two or more encoder-decoder models. The computing device still further computes a function based on each of the predictions from each of the two or more encoder-decoder models and the distribution distance metrics. The computing device additionally updates the two or more encoder-decoder models.

The invention belongs to the technical field of near-infrared spectrum calibration transfer, and particularly relates to a CycleGAN-based non-standard near-infrared spectrum calibration transfer method and a CycleGAN-based non-standard near-infrared spectrum calibration transfer system. Obtaining a non-standard spectrum of a near-infrared spectrometer serving as source equipment, naming the non-standard spectrum as a source domain spectrum, inputting the source domain spectrum into the trained calibration transfer model, and converting the source domain spectrum into a spectrum with target domain spectrum distribution characteristics; the calibration transfer model is constructed based on the CycleGAN, and the identity mapping loss used by a generator in the CycleGAN is optimized for representing the difference between the source domain spectrum and the output of the source domain spectrum input to the generator mapping the target domain spectrum to the source domain. And the difference between the target domain spectrum and the output of the target domain spectrum input to a generator mapping the source domain spectrum to the target domain, and the weight corresponding to the identity mapping loss is a positive number at the initial stage of training and is set to be 0 after the initial stage of training. According to the invention, unnecessary distortion of the spectrum shape structure in the calibration transfer process can be effectively inhibited.

The application discloses a construction site material RFID tracking and BIM collaborative management system, and particularly relates to the field of building engineering digital management, and is used for solving the problems of label and component correspondence invalidation caused by replacement and splitting operation, evidence chain rupture, progress annotation bifurcation and acceptance voucher deviation, and is used for realizing full-link traceability and collaborative consistency of materials from entry to installation through the following steps: identity mapping module is used for correcting events and establishing one-to-one correspondence between label keys and model keys; evolution sealing module is used for detecting changes, generating new instances and constructing parent-child pedigree redirection events; cause-effect chain module is used for organizing read-write events into monotonic sequences and promoting states; mutual evidence adjudication module is used for fusing identity chain and space path evidence to calculate decision coefficients and trigger backtracking correction; and iterative archiving module is used for summarizing checking results, optimizing rules and solidifying snapshots.

This invention relates to the fields of cloud computing and identity authentication security technology, and discloses a method and system for cross-domain intelligent identity authentication in a cloud environment. The method includes: collecting and preprocessing heterogeneous identity data from multiple cloud platforms to obtain a standardized identity dataset; constructing a unified identity semantic model based on the standardized identity dataset and generating feature embedding vectors; performing identity mapping transformation on the feature embedding vectors using a deep neural network to obtain mapped identity feature vectors; performing multi-factor adaptive trust assessment by combining the mapped identity feature vectors with real-time behavioral data to obtain dynamic trust assessment results; generating an adaptive security token based on the dynamic trust assessment results; and converting the adaptive security token into the protocol format required by the target system. This invention can solve the problems of heterogeneity and dynamic trust assessment in cross-domain identity authentication in a cloud environment, providing an effective solution for cloud computing security.

The invention relates to the field of data processing, in particular to a method and a system for caching and calling out multi-level advertisement data. The method comprises the following steps: setting a scheduling frequency according to a customer level, generating a monitoring task, and distributing the monitoring task to a message queue theme corresponding to the customer level; pulling the original multi-level data, and performing splitting and concurrent processing on the pulled original multi-level data; constructing a cross-hierarchy index, and storing the split data and the cross-hierarchy index into a cache; when rule checking is executed, checking the validity of the cache: if the cache is valid, directly obtaining required data through the cross-level index or the identity mapping cache; if the cache fails, triggering a data synchronization process to obtain required data; performing condition judgment; and when the condition is met, calling an advertisement platform interface to execute the operation according to the operation data level and sending a notification. By adopting the method provided by the invention, the response speed of multi-level data monitoring can be effectively improved.

This invention belongs to the technical field of cross-e-commerce platform information processing, specifically involving an AI-based method and system for joint prediction and recommendation of cross-platform e-commerce user behavior. The method collects user behavior data from different e-commerce platforms and converts the raw behavior into unified event records. Based on anonymized identity mapping information, cross-platform aggregation is performed, and behavioral fragment units are generated. Event density, category overlap, cross-platform jump time interval, search click consistency, time difference between adding to cart and placing an order, and platform switching frequency are extracted to generate migration trigger tags. The behavioral fragment units and migration trigger tags are then input into a dual-channel sequence prediction network, which outputs click probability, add-to-cart probability, and purchase probability, forming a recommended content list. This list is incrementally updated based on actual response behavior. This scheme can uniformly represent and jointly predict continuous behavior across platforms.

The invention discloses a machine abnormity detection method and abnormal machine detection equipment. The anomaly detection method comprises the steps of obtaining working parameters of a machine; the working parameters are input into a preset trained detection model to be processed, a processing result is output, and output of the trained detection model is at least determined by a residual function, an identical mapping, a first dynamic weight related to the residual function and a second dynamic weight related to the identical mapping; and judging whether the machine is an abnormal machine according to the processing result.

The application relates to a multi-tenant uniform storage routing table item compression method and system based on identification mapping. The method comprises the following steps: in a routing table item insertion stage, a minimum available reduceID is dynamically allocated for each new tenant, and it is ensured that the IP prefix space of the tenant is not overlapped with a tenant using the same reduceID; in a lookup stage, a message VNI is converted into a reduceID through a mapping table based on RAM, and then reduceID+destination IP is used as a joint key to query a TCAM, and the mapping relationship between the VNI and the reduceID is constructed, so that the bit width of the TCAM table item is significantly reduced under the premise of ensuring routing correctness. The application is suitable for an IPv4 / IPv6 multi-tenant environment, and can effectively reduce the hardware area and power consumption in a FPGA or ASIC high-performance data plane, while maintaining the line-speed forwarding capability.

The application relates to the technical field of communication, and provides a packet loss processing method, device, equipment, medium and product. The method comprises the following steps: obtaining a total sequence number of a to-be-sent data packet, determining a container identifier and a container internal sequence number according to the total sequence number, and encapsulating the container identifier, the container internal sequence number and a path switching identifier for the to-be-sent data packet to obtain a first data packet; and sending the first data packet, so that a network switching device forwards the first data packet to a receiving end device based on the container identifier and the path switching identifier. The container identifier and the container internal sequence number are uniquely determined by the total sequence number, thereby establishing a constant identity mapping for each data packet, which can be used for accurate retransmission of the corresponding data packet; the existence of the path switching identifier enables the sending end to continuously use the original packet loss determination rule without the need of re-computing or maintaining a dynamic mapping table, thereby reducing retransmission delay and computation cost and ensuring the consistency of packet loss determination logic before and after path switching and the accuracy of retransmission.

The application discloses a kind of based on multiple confidence medical data missing value batch repair method, the method includes: using attribute weight updates sample confidence, missing sample set is introduced into model training;Using sample confidence optimization loss function, fill the missing value of data set;The sample confidence is calculated according to the attribute relationship between samples, according to the data attribute to be predicted and the number of missing values in sample, different confidence is given to sample;The influence degree of sample in model training process is adjusted by dynamic selection of confidence.Optimize model architecture, so that the network can fill the missing value of multidimensional data in batches at a time, can also eliminate the identity mapping problem of network transfer function, and enhance the intercorrelation between nodes.The application improves the utilization of data, improves the filling accuracy and filling efficiency of data.

The application discloses a degeneracy structure inspired brain-like continuous learning method and device, comprising: constructing a reparameterization block RepCLBlock containing multiple functionally complementary parallel branches; and replacing the basic building block of the existing architecture to obtain a continuous learning network model RepCLNet; learning and training the model; and converting the trained model into a single-path standard convolution network for efficient inference through a structure reparameterization technology; the application replaces the basic building block of the existing architecture to obtain the RepCLNet model by constructing a heterogeneous RepCLBlock containing a core convolution branch, a composite feature extraction branch and an identity mapping branch, and converts the RepCLNet model into a single-path network through reparameterization, thereby simulating biological neural degeneracy to fundamentally relieve catastrophic forgetting, improving the learning of new knowledge of the model while retaining the stability of old knowledge, and improving the performance of the model without increasing any inference cost.

The invention discloses an access method, device and equipment for a supply chain digital financing platform and a storage medium, and relates to the technical field of digital information transmission and network communication, and the method comprises the steps: firstly executing dynamic field mapping for a non-standard service request sent by an institution according to a preset template, and generating standard format data; extracting characteristic values in a handshake stage of a transport layer security protocol, injecting the characteristic values into an access control list of the message-oriented middleware, and constructing an identity mapping relation; then, socket and message middleware channels are synchronously opened based on the access token, and a dual-channel coupling architecture is obtained; taking the service serial number as an index, and matching the synchronous signaling and the asynchronous message in a preset time window to obtain logic binding data; and finally, pushing binding data to the platform, and completing service access according to a receipt synchronization mechanism system state. According to the invention, safe and efficient access of the supply chain financing service and the digital financing platform can be realized on the premise of not transforming the existing service system of the financial institution.

The application relates to the technical field of computers and discloses an implementation method and device of a reentrant lock, which comprises the following steps: performing a preset identity mapping detection operation on a first task triggering a lock request to obtain a detection result; when the detection result indicates that the first task is a new task, based on a preset double-lock architecture, a preset atomic operation is performed to control the first task to acquire a master lock; when the master lock is successfully acquired, the first task is controlled to acquire an operation lock, and based on the current scene of the first task, the first task performs a resource access control operation through the master lock and a state management operation through the operation lock; and when the master lock is not successfully acquired, the first task is added to a preset waiting queue. It can be seen that the application can provide a new access control mode, which is beneficial to ensuring that a task can safely access a shared resource.

This invention discloses a fault diagnosis method based on orthogonal spatial heterogeneous mapping under imperfect information conditions, relating to the field of fault diagnosis technology for key components of power systems. A hierarchical fusion multidimensional fault feature extraction network based on a cross-domain attention mechanism is proposed to extract features from a complete dataset of fault cases, forming a multidimensional feature vector encoder. For incomplete and missing data, an enhanced orthogonal spatial heterogeneous network embedding multidimensional feature vectors is proposed. By introducing a multidimensional feature vector encoder and an identity mapping residual block, and by integrating fault feature frequencies and a generative adversarial reconstruction loss function, the data reconstruction process is optimized, enhancing data integrity. For missing and incorrect labels, a label self-correction strategy based on spatial differentiation is proposed. This strategy not only considers spatial information feature matching between different fault types and different sensors but also proposes spatially differentiated feature frequency projection, thereby improving the accuracy of data labels.

This application discloses a quantum circuit and quantum system for a quantum residual neural network used to process target data, belonging to the field of quantum computing technology. The target data includes at least one feature data arranged according to position. The quantum circuit includes: a first qubit and a second qubit for encoding and evolving each feature data; a first quantum logic gate and a second quantum logic gate acting on the first qubit for performing an identity mapping operation on the feature data; and a third quantum logic gate acting on the second qubit and entangled with the first qubit between the first and second quantum logic gates. The third quantum logic gate includes an encoding module for encoding the feature data and parameterized training logic gates located before and after the encoding module for realizing residuals. The encoding module includes the encoding logic gate and entanglement gates located before and after the encoding logic gate, and the entanglement gates realize the entanglement of the first qubit and the second qubit. The second qubit corresponding to one feature data at an adjacent position is the first qubit corresponding to another feature data. By applying this application, the importance of features can be distinguished, thereby focusing on key information.

The application discloses an electromagnetic abnormal signal detection method and system, and relates to the technical field of signal detection and identification. The method comprises the following steps: obtaining a target electromagnetic signal; performing feature extraction on the target electromagnetic signal to obtain a signal feature; determining a signal detection result of the target electromagnetic signal according to the signal feature and a signal detection model; the signal detection model comprises an identity mapping module and a convolution layer module connected in sequence; when the signal detection result is that the target electromagnetic signal is a suspicious abnormal signal, performing signal time-frequency domain statistical distribution feature calculation on the target electromagnetic signal, and performing signal identification on the calculation result according to a signal distribution feature map to determine whether the target electromagnetic signal is abnormal; the signal distribution feature map is determined according to signal time-frequency domain statistical distribution feature calculation on a measured electromagnetic signal. The application can improve the applicability and accuracy of abnormal signal detection in a complex environment.

The application discloses a two-dimensional user identity mapping and large-scale license-free access method based on prime number interleaving series spread spectrum, which comprises the following steps: at the user end, sequentially performing cyclic redundancy check addition, data segmentation and GRS coding, modulation and aggregation on original information packets; embedding a prime number interleaver in the two-dimensional user identity into the aggregated frame vector; concatenating and spreading the interleaved symbol vector to form a transmission signal vector; the two-dimensional user identity further comprises a spread spectrum signature, and the spread spectrum signature is an outer layer identity, and the prime number interleaver is an inner layer identity; at the base station, the superimposed signal is divided into multiple spread spectrum segments, and the spread spectrum signature is detected to determine the collision group corresponding to the candidate spread spectrum signature; the prime number interleaver is used to separate the collision users in the collision group, and the user data of the collision users is decoded and verified. The application can improve the fine separation ability of the collision users without increasing the length of the spread spectrum sequence, without expanding the size of the finite field, and without increasing the regulation of the low power consumption and low operation amount of the Internet of Things terminal.

A data protection method and apparatus, and a device. A data storage apparatus provides a confidential storage service, wherein the service is a storage service having better security, and the service is designed to authenticate data access and enforce isolation to prevent data from unauthorized operations such as reading, tampering, or deletion. The service is further responsible for persistently storing confidential data, maintaining data integrity, and performing identity mapping for confidential computing tasks on a data access apparatus. The data storage apparatus obtains a first integrity measurement report, wherein the first integrity measurement report indicates a hardware environment and / or a software environment of the data access apparatus. Upon successfully verifying the data access apparatus on the basis of the first integrity measurement report, the data storage apparatus receives and processes a data access request sent by the data access apparatus. Achieving verification by means of the first integrity measurement report can ensure that data is processed in a relatively secure environment upon transmission to the data access apparatus, thereby effectively ensuring data security.

A kind of monitorable data flow transfer privacy protection method, including initialization phase: establishment center committee, user is registered in blockchain and center committee;Request negotiation phase: user and center committee negotiate service parameters;Agent service stage: user generates data fragment and conversion key, sends to center committee, carries out threshold agent re-encryption service, and the result is broadcasted on blockchain, and user receives own information and decrypts data;Supervision phase: center committee organizes regulatory agency to form consensus, and votes to decide whether to decrypt or not.This method uses ring signature and blockchain broadcast mode to break the link between data sender and data receiver, achieving privacy protection;Threshold agent re-encryption algorithm is used to protect the privacy of data and the mapping relationship between the two parties in the flow transfer process, and the informed consent and supervision power of the flow transfer process are distributed to multiple subjects by secret sharing, realizing fair supervision and access mechanism of seeking the consent of data owner.

Embodiments of the invention provide a data processing method and device, a readable storage medium and a program product. The method comprises the steps of obtaining tree structure data; constructing a memory data structure of a node graph based on a father-child node association relationship in the tree structure data and the data of each node; wherein the memory data structure comprises a node array, a key-identifier mapping table and a child node mapping table, and the node array represents an association relationship between a node identity identifier and node data; the key-identifier mapping table represents an association relationship between a key of the node and an identity identifier of the node; the child node mapping table represents an association relationship between an identifier of a father node and a child node list corresponding to the father node, and the child node list comprises an identity identifier of at least one direct child node; and storing the memory data structure of the node graph. Query efficiency can be improved, and node updating complexity can be reduced.

System for continuous identity verification and access control in cross-company computing infrastructures, comprising an identity acquisition unit, a cross-company identity mapping unit, a device state verification unit, a behavior analysis unit, a context evaluation unit, a dynamic trust value calculation unit, an access decision unit, and a permission adjustment unit, wherein the system is configured to repeatedly acquire technical identity, device, behavior, and context parameters during an ongoing access session, generate a current trust value from them, and automatically adjust access permissions to the current trust value.