399 results about "Register data" patented technology

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.

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 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 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 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 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.

The invention relates to the technical field of network security, in particular to a routing anomaly detection method and device of an autonomous system and electronic equipment. Determining a traffic behavior data set of each AS node based on the routing data and the Netflow traffic statistical data of each AS node in a preset time window; constructing a spatial-temporal feature sequence based on the registration data and the traffic behavior data set of each AS node in a preset time window; performing spatial enhancement processing on the spatial-temporal feature sequence by using a structured correlation model to generate a spatially optimized spatial-temporal feature sequence, the structured correlation model being generated according to the topological relationship among the AS nodes; performing time feature extraction on the spatially optimized spatial-temporal feature sequence to obtain a spatial-temporal feature abstract matrix of each AS node in a preset time window; and performing anomaly judgment on the spatial-temporal feature abstract matrix to obtain a detection result of each AS node route. The accuracy of AS routing anomaly identification is enhanced, and the false alarm rate is effectively reduced.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for delivering stored objects for XR applications. A processor transmits, to an object library, a query for supported forms of enroll data of an avatar of a second user, where the first device is associated with a first user and a second device is associated with the second user. The processor receives, from the object library and based on the query, a list of the supported forms of the enroll data. The processor transmits, to the second device, an identifier of a supported form in the list of the supported forms. The processor performs an avatar call with the second device based on the transmitted identifier of the supported form.

The present disclosure provides a decentralized data mixing (DDM), a cryptographic scheme for non-interactive data mixing. The DDM scheme enables blockchain users to commit to specific data, and subsequently, utilize the encrypted version of this previously registered data across various blockchain applications without association to the original address that logged the data. DDM offers the following features: (i) no double redemption: a malicious user cannot redeem and use the same data twice; (ii) theft prevention: a malicious user cannot use data that is not registered by him; (iii) non-slanderabilty: a malicious user cannot prevent an honest user from using her data; and (iv) unlinkability: a malicious user cannot link a tainted data from an honest user to the corresponding mixed data.

Techniques are disclosed for provisioning a data exchange account to a user device. The user device can transmit a request for account provisioning data for a user account with a third-party service provider and then receive encrypted account provisioning data and an ephemeral public encryption key. The user device can then transmit device registration data to a server configured to decrypt the encrypted account provisioning data and register the user device with the third-party service provider. The user device can receive an encrypted data exchange account identifier and decrypting the encrypted data exchange account identifier.

The invention relates to an execution method and device of an SIMT instruction, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that an SIMT instruction is received, and hardware resources are applied for input data and output data indicated by the SIMT instruction; respectively mapping the input data and the output data to corresponding hardware resources to obtain an input register data structure and an output register data structure, and establishing a corresponding relationship between the input register data structure and the output register data structure; and executing the SIMT instruction based on the corresponding relationship between the input register data structure and the output register data structure. By adopting the method, the performance of the SIMT operator can be improved.

The invention discloses a security authentication method for supply chain management, and the method comprises the steps: carrying out the data verification based on the main body type of a user in response to a user registration application, thereby executing the registration operation, generating a unique recommendation code for the user, and carrying out verification code verification; according to the verification code verification result, based on the subject type of the user, selecting a corresponding signing mode to carry out signing verification, and according to the signing verification result, carrying out data encryption storage on the user information; and obtaining a risk score corresponding to the user through a preset risk assessment model according to the transaction data and the credit data of the user, and executing abnormal behavior early warning in combination with the transaction data. According to the method, registration data is verified based on user main body type differentiation, a unique recommendation code is generated, a verification code is verified, user information is encrypted and stored after a corresponding contract signing mode is selected for verification, scores are calculated through a dynamic risk model in combination with transaction and credit data, credit extension adjustment and abnormal early warning are linked, and the supply chain financial bad debt rate is reduced.

Method(s), apparatus, system(s) and platform(s) are provided for operating a personal data management component (PDMC) and provisioning / operating a personal database server (PDS) for a user in a personal database management (PDM) platform. The PDM platform comprising the PDMC communicatively coupled to a plurality of PDSs provisioned for one or more of a plurality of users. Each PDS configured for storing and exchanging personal data controlled by said corresponding user. The PDM platform communicates over a communication network with a plurality of applications. Each application is configured for providing an application service requiring access to personal data of one or more of the plurality of user(s). Provisioning a PDS for a user includes: receiving a request for creating a PDS for a user of the plurality of users; creating a PDS for the user based on scalable computing infrastructure, where the PDS is configured for a user to control automatic storage and exchange of personal data of the user with one or more of the applications; registering data representative of the user and PDS of the user; providing a PDS identifier to the user for enabling an application to store and access personal data in the PDS of the user based on personal data access control information of the application.

The invention relates to the technical field of network management, in particular to a switch voltage intelligent monitoring and abnormity regulation and control method and system, and the method comprises the following steps: reading port current and power supply voltage register conversion power consumption, writing the port current and power supply voltage register conversion power consumption into a port meter, comparing the port meter with rated power, and reading input / output and mainboard interface voltage according to an identifier; and positioning continuous periodic voltage change drop nodes, and determining a propagation node sequence by combining sampling time. According to the invention, by reading data conversion of a port current register and a port power supply voltage register and according to a power consumption accumulation result, power supply state judgment is associated with port load change, node voltage change is compared and identified by combining a continuous sampling period, and a voltage drop node is identified by combining a working voltage reference value. And a voltage propagation node sequence is obtained according to the sampling time, and the initial position of the power supply path is identified and is combined with the input voltage of the redundant power supply for register state writing, so that a voltage change source has a path association judgment basis.

The invention discloses a supermarket cash register data real-time processing and privacy protection method based on edge computing. According to the invention, through edge node localization training and a gradient parameter sharing mechanism, the data transmission pressure of a central node is obviously reduced, the convergence speed of a global model is effectively improved through a dynamic weighted aggregation algorithm, the iteration period of a transaction risk control model is greatly shortened, and the response delay of a system to abnormal transactions is controlled at an extremely low level; a high-concurrency transaction scene can be efficiently processed, the real-time detection capability and the system stability are enhanced, a differential encryption strategy is implemented for data with different sensitivities by a hierarchical privacy protection architecture, the unpredictability of a core data key is ensured by quantum random number encryption, a dynamic differential privacy algorithm automatically adapts to data distribution characteristics when noise is added, and the real-time detection capability and the system stability are improved. A hardware security module is combined with a threshold secret sharing mechanism, and a multi-layer protection system is constructed from a physical layer to a protocol layer, so that the risk of data leakage is effectively reduced, and meanwhile, the compliance requirements of related laws and regulations are met.

A method implemented in a communication network between a compact core system and a central core network system for registration and session management comprises transmitting, by a compact access and mobility management function (AMF) at the compact core system, a registration request to the central core network system, in which the registration request comprises data associated with the compact core system, and completing, by a central AMF at the central core network system, a registration of the compact core system by adding the data associated with the compact core system at a registration data store in the central core network system, and establishing, using a user plane function (UPF) at the compact core system, a connection between the compact AMF and a central AMF at the central core network system over a network slice.

The invention provides an automatic testing method and system for a stepping servo driver and a medium. The method comprises the steps of automatically generating a unique number and binding a record, sending a data packet, detecting external network communication, collecting first fault information, collecting bus data, detecting a board card state, collecting second fault information, docking driver module ports, and respectively performing automatic polling detection and internal communication detection. Collecting third and fourth fault information; reading preset synchronous register data; carrying out synchronous state detection and collecting fifth fault information; reading back motor data to carry out performance detection on a motor and collecting sixth fault information; therefore, through a full-process automatic dynamic analysis technology, IO self-closed-loop testing and centralized data management, data transmission and cooperative work are realized, the testing efficiency and accuracy of the servo driver are improved, and automatic testing is realized.

The embodiment of the invention discloses a chip debugging method, which comprises the following steps that: after a chip is electrified, when the voltage of a DP pin is detected to meet a first preset condition, the chip enters a debugging mode, and the DP pin establishes a relation with a plurality of groups of registers; the register writes a to-be-burnt signal with a preset sequence through a DP pin, and burning information in the to-be-burnt signal is associated with the register group number; when the register receives a burning instruction, the chip enters a burning mode, the DP pin establishes connection with the memory, the burning instruction is a first-class register trigger signal, and the first-class register trigger signal comprises register address information and register data; and in the burning mode, when the burning enable signal is valid, burning the burning information in one group of registers to the memory, then the burning enable signal is invalid, and the burning enable signal is in the valid stage again until the burning is finished. Through the implementation of the embodiment, chip pin resources can be reduced, and the chip debugging speed is improved.

The application relates to the technical field of servers and discloses a method for acquiring network card information, a server board card, equipment and a medium, the method for acquiring network card information comprises the following steps: outputting a clock signal and a data loading enable signal to a network card through a complex programmable logic device, and reading a data signal sent by the network card by using the clock signal and the loading enable signal; processing the data signal sent by the network card through the complex programmable logic device, generating internal register data, and transmitting the internal register data to a baseboard management controller; and updating a log file based on the internal register data through the baseboard management controller; wherein the log file stores the data signal sent by the network card. The application enriches the read data signal sent by the network card, increases the flexibility and practicality of network card management, and reduces the difficulty of network card problem processing.