476 results about "Register data" patented technology

The invention discloses a distributed trusted virtual human identity authentication system and method based on a block chain, and the system comprises a distributed digital identity system which is used for obtaining user entity identity information registration data, verifying the identity of a user entity, and carrying out the digital identity creation of a virtual human corresponding to a current user entity, generating a distributed digital identity of the target virtual person, and supporting query verification and authorization management of the digital identity of the virtual person; the virtual human digital identity registration system is used for registering a distributed digital identity of a target virtual human corresponding to the current user according to target digital identity registration information obtained when the virtual human digital identity is created; and the digital certificate authentication center is used for responding to the digital identity certificate request of the target virtual person and respectively sending a target digital identity certificate corresponding to the identity of the target virtual person to the distributed digital identity system and the virtual person digital identity registration system, so that the problems of virtual person identity determination and right confirmation are effectively solved.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for decentralized data control and access management. For example, a data owner may perform a subscription procedure to obtain verification credentials and an index (e.g., address, identifier) to public data control and access information. The data owner may perform a registration procedure to register ownership of data using the public data control and access information. The public data control and access information may include a public key. The public key is paired with a private trapdoor key to form a key pair. The data owner and a data consumer may perform an access procedure to grant access to registered data. For example, the registration procedure may verify collisions between a token hash, a data hash, and a data owner hash based on use of the key pair.

The invention discloses an OBD tamper-proof two-way verification method, which comprises the steps of obtaining OBD equipment data and vehicle sensor data, registering to a cloud end based on the OBD equipment data, obtaining registration data, obtaining key data and non-key data according to the vehicle sensor data, symmetrically encrypting the key data by using a session key in the registration data, and verifying the key data and the non-key data. Performing approximate homomorphic encryption on the non-key data, obtaining a double-entropy source dynamic salt value according to the time entropy of the ciphertext and the OBD equipment operation entropy, reversely reconstructing the dynamic salt value by the cloud according to the timestamp and the registration data, verifying the ciphertext structure by using the dynamic salt value and generating a random challenge containing a salt value check code, and sending the random challenge to the cloud; the equipment verification result and the challenge value are signed and then transmitted back, the OBD equipment carries out reverse verification on the salt value according to the signature and the equipment verification result, and the cloud generates an authority token based on the reverse verification result. According to the method, the data authenticity and integrity of the diagnostic equipment are guaranteed through packet encryption, dynamic salt value generation and bidirectional identity verification of transmission data.

A network device may establish an interface with a unified data management (UDM) device, and may utilize the interface to register with the UDM device and to provide, to the UDM device, registration data identifying an association between the network device and a user equipment (UE). The network device may provide policy data to a network data analytics function (NWDAF) that identifies the network device based on the registration data, and may receive, from the NWDAF, analytics calculated based on the policy data. The network device may perform one or more actions based on the analytics.

The invention discloses a logistics express management method and system based on a traceability technology, and relates to the technical field of logistics management, and the method comprises the steps: building a multi-layer distributed traceability data structure; generating a combined traceability identification code; associating the combined traceability identification code with the logistics package, and registering related data to a corresponding hierarchy of the multi-layer distributed traceability data structure; obtaining and verifying logistics process node data; based on the logistics risk model and the early warning rule, performing risk assessment in combination with the registered data, and generating a risk assessment result; when a logistics query request is received, generating a logistics traceability report according to the combined traceability identification code in the request; and analyzing a logistics abnormal mode based on the logistics tracing report, and updating the logistics risk model and the early warning rule. According to the invention, a set of complete logistics traceability anti-counterfeiting technical scheme is established by constructing a multi-layer distributed traceability data structure and combining physical characteristic dynamic verification and a distributed consensus mechanism.

The invention discloses a data exchange method and device for a trusted data space and a medium. The method comprises the following steps: establishing a verifiable registry and a distributed digital steward of a trusted data space; registering a data space main body ID for each main body of the trusted data space, and signing and issuing an identity certificate for each main body based on the data space main body ID; according to the identity credentials and the private keys of all the main bodies, identity mutual recognition among all the main bodies is achieved, and an incidence relation is established; writing metadata required by the data provider or the data developer to publish data into a verifiable registry, and establishing a data space data ID of the metadata based on the data space main body ID of the data publisher and the metadata; connection is established among distributed digital housekeepers, an end-to-end encryption connection pipeline is formed, and encryption data exchange is completed based on a connection channel.

The invention provides a water conservancy data analysis method adaptive to multiple protocols, and aims to solve the problem of water conservancy data analysis of different protocols. The system firstly receives to-be-analyzed water conservancy data from multiple protocols. The data comprises protocol data which can work on a specific physical layer and adopt a function code mode to agree register data access read-write. The system identifies the specific protocol type corresponding to the data by analyzing the specific field in the to-be-analyzed data, and determines the working mode according to the characteristics of the protocol. And once the protocol type is identified, the system calls a preset protocol analyzer and analyzes the data according to the specific characteristics of the protocol type, and the analyzed result data is output, uploaded and stored to the data server module for subsequent use and analysis. The method can efficiently adapt to multiple protocols, realizes automatic analysis of water conservancy data of different protocols, and is suitable for intelligent data processing requirements of the water conservancy industry.

The invention discloses an embedded image decoding display system based on an ARM, and relates to the technical field of computers, and the system comprises a dynamic sensing module which is used for monitoring the CPU occupancy rate, the cache hit rate and the memory bandwidth utilization rate of an ARM processor in real time, establishing a three-dimensional resource vector containing a dynamic weight coefficient, and calculating a threshold boundary; the adaptive decoding engine comprises an optimization unit which is used for reconstructing a bit stream processing channel and a register data exchange mechanism based on an SIMD expansion instruction of an ARMv8.2 instruction set; the prediction unit is used for predicting instruction-level hotspot distribution of the decoding task by adopting a TinyLSTM model and generating an instruction transmitting strategy; the hardware optimization module is used for executing a heterogeneous collaboration strategy of the NEON coprocessor and the MaliGPU, and the heterogeneous collaboration strategy comprises the following steps: dividing DCT / IDCT (discrete cosine transform / inverse discrete cosine transform) calculation granularity; determining a mixing precision conversion assembly line of the GPU shader according to the color gamut of the display equipment; and the display driving module is used for implementing a decoding parameter dynamic confusion algorithm in the security domain and forming a tamper-proof closed loop with the optimization unit.

The invention relates to a data analysis technology, and discloses a personalized commodity recommendation method and system based on multi-modal data fusion, and the method comprises the steps: recognizing registration data in account data of a user and personal information of the user, and judging whether the user is a new user or not according to the registration data; if the user is a new user, generating a random commodity list based on the personal information of the user, obtaining browsing data of the user on the random commodity list, generating a first recommended commodity according to the browsing data, and displaying the first recommended commodity to the user; otherwise, generating a second recommended commodity according to the historical purchase data of the user, identifying multi-dimensional score data of a plurality of suppliers corresponding to the second recommended commodity, generating a multi-dimensional score weight of the multi-dimensional score data according to the historical evaluation data of the user, generating a comprehensive score of each supplier according to the multi-dimensional score weight and the multi-dimensional score data, and confirming the highest-score supplier according to the comprehensive score, and recommending a second recommended commodity of the highest-score supplier to the user. The commodity recommendation accuracy can be improved.

The invention relates to the technical field of hepatitis diagnosis and treatment management, and discloses a block chain-based hepatitis patient full-period management method. The method comprises the following steps: creating a patient identity chain in a block chain network, and storing patient registration data and initial diagnosis information; full-cycle diagnosis and treatment data of a patient are obtained and divided into clinical examination, iconography, medication records and life sign monitoring data. Performing multi-dimensional cleaning on the clinical examination data to generate a standardized data set; inputting the iconography data into a pre-trained hepatitis feature extraction model, and outputting a liver injury feature set; verifying the integrity of the medication record, and generating a non-tampering medication time sequence chain; comparing the life sign monitoring data with preset health reference parameters to generate a sign deviation coefficient set; according to the method, data safety and traceability are guaranteed through the block chain, diagnosis and treatment data quality is improved through multi-dimensional data processing, patient privacy is protected, and reliable support is provided for full-period management of hepatitis patients.

The invention relates to a multi-spectral image and laser point cloud data-based registration fusion method, which comprises the following steps of: converting a registered data source, and recovering three-dimensional information from an image sequence by using a multi-view geometric principle, so that the registration of a three-dimensional laser point and a two-dimensional image is converted into a space registration problem of two three-dimensional point sets; the problem that the feature difference between a three-dimensional laser point cloud and a two-dimensional optical image is large is solved.

Methods and systems for registering a management controller of a data processing system with a server and an orchestrator are disclosed. To do so, a key pair may be generated by the management controller and a private key of the key pair may be kept secret by the management controller. Previously established trust between a trusted platform module of the data processing system and a manufacturer of the data processing system may be leveraged to register the management controller with the server. Hardware resources of the data processing system may register a public key of the key pair with the server and may request registration of the management controller with the orchestrator. The management controller may obtain a challenge from an internet of things hub associated with the orchestrator and may respond to the challenge, via an out of band communication channel, to complete the registration of the management controller.

Arrangements for account linking and dynamic device selection are provided. Registration data including one or more user accounts and / or payment devices may be received. A request to process a transaction may be received via a first device. User data may be retrieved to identify other devices. One or more external entities may provide user profile data including raw customer data and encrypted authentication data. A hash of the encrypted authentication data may be generated and stored. The system may dynamically generate a rendering displaying one or more payment devices available for selection. A second payment device may be selected and authentication data associated with the second payment device received. A hash of the authentication data may be generated and compared to the stored hash of the encrypted authentication data. If the hashes match, the transaction may be processed. If there is not a match, the transaction may be denied.

The invention discloses a fault detection method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that enhanced error report register data and machine inspection architecture register data from a server are received, the enhanced error report register data and the machine inspection architecture register data are sent when the server detects that the graphics processing unit has uncorrectable errors and the number of times of correctable errors reaches a preset threshold value; under the condition that the enhanced error report register data and the machine check architecture register data are valid, determining whether the graphics processing unit is in a healthy state according to the machine check architecture register data; if not, the fault type and the fault position of the graphic processing unit are determined according to at least one of the processing core information and the memory information included in the enhanced error report register data, so that specific internal equipment with faults of the graphic processing unit can be accurately positioned.

The invention relates to the technical field of cloud computing, and discloses a virtual machine migration method and system, computer equipment and a storage medium, and the method comprises the steps that a source node receives a migration instruction of a target virtual machine, and obtains an address information table of the target virtual machine; acquiring a shared memory address according to the source memory address in the address information table; updating an address information table according to the source memory address and the shared memory address, and migrating memory data of the target virtual machine to a shared memory resource pool from the target virtual machine; acquiring register data of the target virtual machine; sending the updated address information table and the register data of the target virtual machine to the destination node; and stopping running the target virtual machine. The destination node migrates memory data of the target virtual machine from the shared memory resource pool to the destination node according to the shared memory address; and running the target virtual machine according to the register data of the target virtual machine and the memory data of the target virtual machine. In the process of migrating the virtual machine, the service of the virtual machine does not need to be interrupted.

The invention discloses a welding seam segment detection method and system based on welding seam life prediction, and relates to the field related to data detection.The method comprises the steps that a welding seam segment rule is defined, heterogeneous data of different detection devices are collected and obtained for registration, a registration data set is obtained, feature extraction is conducted on the registration data set according to the welding seam segment rule, and a welding seam segment detection result is obtained; according to the method, a feature framework is constructed, a weld joint life prediction model is constructed according to the feature framework, a plurality of residual life prediction results are obtained, segmentation priority ranking is performed on weld joints, and a detection decision report is generated, so that the technical problems of non-uniform segmentation standards, low life prediction precision and difficulty in multi-source data integration caused by isomerism of weld joint detection data are solved; the technical effects that the prediction accuracy is improved by unifying segmentation rules and fusing physical and data models, the priority detection report is generated, and efficient maintenance and accident risk prevention and control are achieved are achieved.

The invention relates to a satellite navigation baseband processing device optimized by a coprocessor. A core processing part of the device adopts a realization framework of a main processor and a coprocessor; the coprocessor is used for scheduling hardware acceleration computing resources in real time under exchange control of the main processor, and completing high-real-time processing tasks such as signal capture and tracking loop processing of satellite navigation; an instruction set and an external interface of the coprocessor are subjected to targeted optimization, the bus bit width and the internal storage width of the coprocessor are expanded, and the in-situ width of an ALU and a register of the coprocessor is reserved; performing bus data access and storage by adopting an external port access instruction and an internal memory access instruction which are matched with the expanded bus according to the expansion state; and performing access and storage of single register data by adopting a bus write enable, an access instruction and a storage instruction which are matched with the expanded internal storage width. According to the invention, the function load of the main processor is effectively reduced, and the implementation cost of the baseband processing device is reduced.

The invention discloses an instruction conversion context switching optimization method based on stack frame hierarchical compression, which comprises the following steps of: loading and executing an executable file in a dynamic instruction conversion mode, and establishing a storage instruction set and a recovery instruction set containing a context switching complete process for context switching related instructions; constructing a register group according to the association degree of registers in the storage instruction set so as to realize the combined storage of register data by adopting a continuous memory space in the ARM architecture, and carrying out hierarchical compression on push data according to a function call hierarchical structure, recovery of the register data and the stack pressing data is achieved in the recovery instruction set according to the mapping relation table and the incidence relation table recorded in the storage process, the flexibility of processing a complex nested structure and a data type is improved, and correct execution of a program is ensured.

The invention provides a transverse registration error model construction method, a model, a control method and a printer, and the method comprises the steps: building a coiled material elastic curve relation through a beam theoretical equation according to motion control parameters and material mechanical coupling parameters of a coiled material and a printing roller of a roll-to-roll printer; determining a general solution coefficient of a fourth-order differential equation of an elastic curve of the coiled material according to a given boundary condition of the coiled material between an upstream printing roller and a downstream printing roller to obtain an equation of curvature at the downstream roller; the transverse speed and the transverse acceleration of the coiled material are combined with the curvature equation of the printing roller, and the relation between the printing roller and the transverse displacement of the reel base material is obtained; and combining the relation between the transverse displacement of the printing roller and the transverse displacement of the reel base material with the transverse registration error equation of the printing roller to obtain a final transverse registration error model. According to the registration data output by the transverse registration error model, the upstream disturbance is compensated through the feed-forward controller, the registration precision of roll-to-roll printing is remarkably improved, the production cost is reduced, and the production efficiency is improved.

The invention relates to an optimization method and device for protocol calculation in a thread bundle, computer equipment and a readable storage medium. The method comprises the steps of generating n-1 shuffle instructions for n columns of data in source data; the (n-1) shuffle instructions are executed in parallel to obtain (n-1) thread register data, n is an integer larger than 3, the (n-1) shuffle instructions are used for indicating all threads in the same group to conduct data exchange, and all the threads in the same group correspond to the same row in the source data; and executing protocol calculation based on the source data and the n-1 thread register data to obtain a corresponding protocol calculation result. By adopting the method, the calculation efficiency of the protocol calculation in the thread bundle can be improved.

To provide a fixed asset management device, etc., that can improve the listability of items missed during correction when confirming correction requests by enabling the display of whether items that should be corrected as a set with items corrected in the correction request have been corrected.SOLUTION: In one embodiment, the input values of each data item are compared between the first registration data and the second registration data to detect modified data items whose input values were changed in the second registration data (step S11), a set of configuration values associated with a key value that matches an input value of a key item in the second set of registration data is collated with the set of input values associated with a combination of related data items in the data items of the second set of registration data (step S12), a screen requesting confirmation containing the detection result from step S11 and the matching result from step S12 is displayed (step S13).SELECTED DRAWING: Figure 1

Disclosed herein is a system to validate Short Messaging Services (SMS) template data to register in a validation database. The system receives SMS template data, comprising an SMS template and a header and associated with an entity, processes the SMS template data to determine template parameters and identifies relevant regulatory guidelines based on the template parameters. The system determines regulatory compliance status of the SMS template data based on the relevant regulatory guidelines, presence of malicious elements and determines entity scores based on historical registration data of the entity. The system further validates the SMS template data to register in the validation database based on the regulatory compliance, presence of malicious elements and the entity scores. Upon successful validation, the system automatically updates a validation database with the SMS template data and the entity may send a plurality of SMSs to a plurality of individuals using the SMS template data.

The present application relates to the technical field of computers. Provided are methods and apparatuses for handling a non-recoverable system fault, and an electronic device and a non-transitory readable storage medium. A method is applied to a BMC, and comprises: collecting register data of a processor after a fault check signal is detected, wherein the fault check signal is sent to a BMC by an on-chip controller upon detecting that a flag bit of a fault isolation register is set; analyzing the register data to obtain positioning information of a faulty device; and triggering a warm reboot of a system, wherein during the warm reboot of the system, the positioning information is used for instructing a host BIOS to disable the corresponding faulty device on the basis of the positioning information. In the present application, after a non-recoverable system fault is detected, out-of-band collection and analysis are performed on the register data of the processor by means of the BMC, and the processes of data collection and analysis do not occupy processor resources, thereby greatly reducing the workload of the processor, ensuring the processing performance requirements of the processor for a real user service, and improving the stability of a server system.

The invention relates to a register management method and device, electronic equipment and a storage medium. The method comprises the following steps: allocating a shared on-chip storage space for registers of a plurality of processing units in processing equipment; setting a write-in mark corresponding to the register of each processing unit in an array of the processing equipment; in response to execution of the first command, reading register data of the target register from the off-chip storage space, storing the register data in the on-chip storage space, and setting a write-in mark corresponding to the target register in the array to be valid; and in response to execution of the second command, determining an effective target write-in mark from the array, reading register data corresponding to the target write-in mark from the on-chip storage space, and writing the register data into a target register of the processing unit indicated by the target write-in mark. The embodiment of the invention can improve the operation efficiency of the processing equipment.

A peripheral device workspace cloud orchestrator server includes a network interface device to receive detected peripheral device enrollment data describing peripheral device nodes to be registered with the peripheral device workspace cloud orchestrator server and hardware device operational policies describing how the registered peripheral device nodes are to operate. The hardware processor executes computer code of a cloud manageability orchestrator module to create and store, on a peripheral device workspace database, peripheral device workspaces with each of the peripheral device workspaces having a peripheral device workspace identification value, wherein the peripheral device workspaces are defined by a manifest of detected peripheral device nodes operatively coupled to an anchor node information handling system and a physical location of the anchor node information handling system.

A system may include a memory having computer-readable instructions stored thereon, and a processor of a control plane that executes the computer-readable instructions to receive from a database server, over a first connection, a request for credentials, in response to the request for credentials, generate credentials for the database server, transmit the credentials to the database server over a second connection specific to the database server, receive, over the second connection, from the database server, a request for registering the database server, the request for registering the database server comprising the credentials, in response to the request for registering the database server, register the database server with a database management system associated with the control plane.

The invention relates to a data quality inspection method capable of dynamically expanding, which can dynamically add, modify and delete a data quality inspection rule, dynamically store database connection information and the quality inspection rule in a database, and obtain the database connection information and the quality inspection rule from the database in real time when the quality inspection is executed; the execution process of quality inspection is dynamically scheduled according to a frequency defined by a user, and comprises the following steps: realizing a quality inspection rule management system, performing the quality inspection execution process: performing timed task scheduling, acquiring a quality inspection rule, connecting a database, executing data query, executing quality inspection logic and storing a quality inspection result, and performing the quality inspection result processing process: performing anomaly detection, generating a quality inspection report and sending the report. The problem that a traditional data quality inspection system is insufficient in rule expansibility, complex rule support, database type adaptability and exception handling efficiency is solved, and quality monitoring and verification of large-scale and multi-source heterogeneous data are achieved by dynamically registering database links and quality inspection rules and combining complex expression analysis.

A method for providing oracle service of a blockchain network by using zero-knowledge proof includes steps of: (a) in response to feeder terminals registering data feeder transactions, including commitments generated with a commitment key and off-chain data, encrypted data generated by encrypting the off-chain data with a public key and data validation values proving with feeder zero-knowledge proof keys that the commitments are identical to the off-chain data, onto the blockchain network, the aggregator terminal acquiring at least one data feeder transaction therefrom; (b) the aggregator terminal verifying data validation values with its corresponding feeder zero-knowledge proof key, decrypting encrypted data with a private key, generating on-chain data from the decrypted data using a calculator and calculation validation values proving with an aggregator zero-knowledge proof key that the on-chain data is generated from the decrypted data, and registering the on-chain data and the calculation validation values onto the blockchain network.

A method and computing system for providing a non-gambling game are disclosed. A computing system receives individual registration data and determines whether the registration data corresponds to a base or premium tier. A premium tier can be provided if the player previously enrolled in a membership subscription with an entity associated with the provider of the game. Upon receiving a start input, and without any requirement of payment for a wager, the computing system operates the game. Upon detecting a trigger event, such as the end of a turn of the game where a pattern of symbols has become certain, the computing system makes a payout determination. The mode of game operation differs in response to base and premium tier registration data.