43500 results about "Operating system" patented technology

An apparatus comprises a memory and a processor communicatively coupled to one another. The memory may be configured to store a data lake and multiple existing spectrum administration service (SAS) configuration commands. The processor may be configured to perform first SAS operations in accordance with the existing SAS configuration commands, collect multiple channel parameters from one or more communication channels configured to provide connectivity between user equipment and a core network, store the channel parameters in the data lake, monitor the channel parameters in the data lake, and generate optimized SAS configuration commands based at least in part upon the channel parameters. Further, the processor is configured to compare the optimized SAS configuration commands to the existing SAS configuration commands and perform second SAS operations in accordance with the optimized SAS configuration commands.

The invention provides a block chain data management method and system, and relates to the technical field of block chains, and the method comprises the steps: receiving and preprocessing an electronic file; encrypting the archive by using a public key and calculating a hash value; packaging the encrypted file and the hash value into a block chain transaction and broadcasting the block chain transaction; acquiring block information and safely storing the private key; verifying the integrity of the electronic file; recording a full life cycle operation log; the log is stored in an on-chain and off-chain combined mode; auditing the electronic file; and realizing access authority automatic management based on the intelligent contract. According to the method, the security, traceability and management efficiency of the electronic archives are improved.

The invention relates to the technical field of operation and maintenance management and control, and discloses an intelligent building remote operation and maintenance management and control system based on a large model and a cloud edge collaborative architecture, and the system comprises a configuration subsystem which is used for carrying out the reverse proxy and persistent connection configuration of edge gateway equipment in an intelligent building, and obtaining a TLS encryption bidirectional communication channel; the construction subsystem is used for constructing a cloud-edge-end three-layer cooperative computing architecture; the conversion subsystem is used for performing unified semantic abstraction and conversion on the heterogeneous protocol data to obtain semantic data in a standard JSON (JavaScript Object Notation) format; the rule processing subsystem is used for performing rule processing through a near-end decision engine of the edge gateway to obtain a local intelligent response result; the multi-dimensional analysis subsystem is used for carrying out multi-dimensional analysis through a cloud large model engine to obtain an equipment health score, a fault prediction result and an energy optimization strategy, seamless fusion and interoperation of heterogeneous system data are achieved through the system, and then global optimization and linkage control of the intelligent building are achieved.

The invention is an AI-driven blockchain platform for automated trade management, featuring smart contract customization, cross-chain interoperability, and quantum-resistant security. It tokenizes legal rights, obligations, and asset ownership as NFTs on the blockchain for transparency. The platform adapts contracts in real-time based on market data, compliance, and IoT-monitored trade conditions. It includes automated cryptocurrency payments with privacy controls, a decentralized dispute resolution system, and modules for modular automation and risk management. The platform supports dynamic compliance adjustments and ethical trade metrics, enhancing international trade operations through AI-driven matchmaking and behavioral analytics for partner vetting. By integrating advanced cryptographic techniques and IoT data, the platform ensures secure, efficient, and adaptable trade processes across multiple blockchain networks, optimizing workflows and safeguarding transactions against future technological threats.

A smart ring charging system comprises a charging source integrated into an object, the object configured to be held by a user wearing a smart ring. The smart ring may include a ring-shaped housing and a power source disposed within or at the ring-shaped housing and configured to receive energy from the charging source while the user is wearing the smart ring and holding the object. A controller may be disposed within or at the ring-shaped housing, or at the object with the charger and configured to estimate a charging rate at which the power source receives the energy from the charging source. The system may further include one or more indicators configured to indicate the charging rate.

Systems, methods, and computer-readable storage media to protect non-fungible tokens (NFTs) using a protection architecture. One method includes receiving an NFT, authenticating the NFT including authenticating or verifying the NFT using a key and authenticating the link of the NFT, and protecting the NFT including generating a public-private key pair, encapsulating the NFT within a control structure, updating an NFT account in an overlay ledger, generating and storing a cold storage object in a cold storage ledger, and broadcasting the NFT to a blockchain storage.

A system and method for efficient natural language processing combines large and small language models with a thought caching architecture. The system includes a router that directs prompts either to a large language model for thought generation or to a thought cache containing previously generated thoughts. When using the large model, generated thoughts are combined with the original prompt and routed through a smaller language model to produce responses. The thought cache stores reasoning patterns that can be retrieved and reused, eliminating the need to regenerate similar thoughts for related prompts. The system supports both local and cloud-based caching, enabling personal and enterprise-wide thought storage and retrieval. This architecture reduces computational overhead while maintaining reasoning capabilities, effectively extends context windows beyond traditional limits, and enables efficient scaling across different deployment scenarios. The system can operate with reduced resources by leveraging cached thoughts without requiring constant access to the large model.

The invention relates to the technical field of block chains, and discloses a supply chain tracing method and system based on a block chain, and the method comprises the steps: carrying out the collection and feature learning of the product identification information and transaction records of a supply chain node, and obtaining a supply chain transaction feature vector; based on the supply chain transaction feature vector, executing intelligent contract verification strategy confirmation and weighted voting verification on a transaction group to obtain a consensus confirmation block; extracting transaction data from the consensus confirmation block, constructing a double-Hash Merkle tree structure and generating supply chain traceability features; and executing a commodity tracing contract, a quality verification contract and a responsibility judgment contract according to the supply chain tracing characteristics, and generating an execution log and a visual tracing report, thereby reducing the number of verification nodes and network communication overhead while ensuring the block verification reliability, improving the consensus efficiency, and improving the objectivity and efficiency of the tracing process.

A system for improving data integrity through blockchain-based smart contracts, consisting of: a data input module configured to receive transaction data from at least one external source; a hashing unit coupled with the data input module and configured to generate a cryptographic hash of the transaction data; a smart contract execution engine that is operationally connected to the hashing unit and configured to execute predefined conditions associated with the transaction data, wherein the smart contract execution engine is configured to trigger automated processes based on compliance with these predefined conditions; a blockchain node interface in communication with a blockchain network, configured to validate and record the hashed transaction data, with the blockchain node interface transmitting validated data entries to be appended to a decentralized ledger; a verification module configured to check the integrity and authenticity of the attached data within the blockchain network; and A data retrieval unit with an interface to the blockchain network, configured to allow authorized users to access and retrieve validated transaction data from the decentralized ledger, with permissions governed by the terms of the smart contract.

To increase interest in a game.SOLUTION: A game machine can execute a rainbow light-emitting performance in which light-emitting means emits light in a specific light-emitting color, execute a first specific notification when a specific value reaches a first value, execute a second specific notification when a specific value reaches a second value, execute a specific rainbow light-emitting performance while a suggestion performance is executed during the execution of a specific variation performance, continue the specific rainbow light-emitting performance when the first specific notification is executed while the specific rainbow light-emitting performance is executed, and restrict the specific rainbow light-emitting performance when the second specific notification is executed while the specific rainbow light-emitting performance is executed.SELECTED DRAWING: Figure 371

In general, techniques are described for deploying and managing a virtual router having Data Plane Development Kit (DPDK) functionality to a computing device. In an example, a method includes creating, by a container orchestration platform executing on a computing device, a virtual router custom resource instance of a virtual router custom resource definition, the virtual router custom resource instance for a virtual router to execute on the computing device; based on configuration data for the virtual router custom resource instance, by the container orchestration platform, modifying the virtual router custom resource instance with the configuration data and deploying a first virtual computing instance comprising a virtual router configured according to the modified virtual router custom resource instance; and executing, by the computing device, the virtual router to process a packet.

A microprocessor includes execution units that execute macro-operations (MOPs), a decode unit that decodes architectural instructions into MOPs, an instruction fetch unit (IFU) having an instruction cache that caches architectural instructions and a macro-operation cache (MOC) that caches MOPs into which the architectural instructions are decoded. A prediction unit (PRU) predicts a series of fetch blocks (FBs) in a program instruction stream to be fetched by the IFU from the MOC if hit or from the instruction cache otherwise. A branch target buffer (BTB) caches information about previously fetched and decoded FBs. A counter of each BTB entry is incremented when the entry predicts the associated FB is present again. For each FB in the series, the PRU indicates whether the counter has exceeded a threshold for use deciding whether to allocate the MOPs into the MOC in response to an instance of decoding the instructions into the MOPs.

The present application provides a vulnerability detection method, comprising: acquiring a target branch of a target API in a detected code; generating a test case of the target API on the basis of proof information of a vulnerability API, wherein the test case of the target API is used for testing whether the target API has a vulnerability; determining an original seed for performing fuzz testing on the target branch of the target API; inputting the original seed into the test case of the target API; testing the target branch by means of the test case into which the original seed is inputted; screening for a seed on the basis of a test result; mutating the screened seed, and then inputting the mutated seed into the test case of the target API; and performing the next round of testing on the target branch by means of the test case into which the mutated seed is inputted so as to detect the vulnerability in the detected code. According to the method, saturation fuzz testing is performed on a specific branch (i.e., the target branch) of a specific API in a detected code, thereby achieving the objective of triggering the vulnerability quickly, realizing efficient fuzz testing for a vulnerability discovery scenario, and improving the vulnerability discovery efficiency.

The invention discloses a code generation method and device based on LLM multi-agent cooperation and computer equipment. The method comprises the following steps: acquiring a user programming demand; analyzing the user programming demand based on LLM and decomposing a programming task to generate a task tree; selecting a to-be-allocated sub-task from the task tree, and evaluating the matching degree of an intelligent agent in an intelligent agent pool and the to-be-allocated sub-task based on LLM to generate a task allocation instruction; sending the task allocation instruction to a corresponding target agent, so that the target agent executes the to-be-allocated sub-task, and feeding back an execution result; and outputting the execution result. By implementing the method provided by the invention, the programming efficiency and quality can be improved, the resource allocation can be optimized, and the efficient development of complex requirements and large projects can be supported.

The invention provides a task scheduling method and system based on multi-agent collaboration, and the method comprises the steps: firstly receiving an externally input target task demand text, carrying out the structural analysis processing, obtaining a task element set, calling a task planning module of a main agent to carry out the planning disassembly of the task element set, generating a sub-task sequence set, and carrying out the calculation of the sub-task sequence set; the sub-task units are in one-to-one correspondence with preset professional agent types, the sub-task units are allocated to matched professional agents for execution according to professional attribute identifiers of the sub-task units, a sub-task execution instruction is generated, and each professional agent executes sub-task operation based on the instruction, generates a sub-task execution result set and feeds back the sub-task execution result set to the main agent; and finally, the main agent performs multi-source data integration processing on the sub-task execution result set to generate a final task result file meeting task output requirements, so that task scheduling efficiency, quality and flexibility can be improved, and complex task requirements are met.

The invention discloses a task processing method and device, equipment, a storage medium and a product, and relates to the technical field of artificial intelligence, and the method comprises the steps: responding to a to-be-executed task input by a user, inputting the to-be-executed task and a preset cue word into a large language model, and obtaining a task analysis result output by the large language model; distributing each sub-task corresponding to the to-be-executed task to a corresponding service agent based on the task analysis result; a technical agent corresponding to the subtask is scheduled through the service agent to execute the subtask, and subtask execution results are summarized; and determining a task execution result corresponding to the to-be-executed task based on the sub-task execution result. Compared with the mode that an existing automatic robot can only execute the set task according to the fixed processing flow, the method has the advantages that the to-be-executed task can be fully understood, the to-be-executed task can be split, the to-be-executed task is executed in a graded mode through the corresponding service agent scheduling technology agent, human intervention can be reduced, and the user satisfaction degree can be improved.

Embodiments described herein provide for a healthcare ecosystem of computing devices participating as nodes of a distributed ledger (e.g., blockchain). The distributed ledger includes NFTs representing corresponding patients, where the initial NET behaves logically as a token scaffold that represents a “digital twin” of the particular patient. The initial patient token represents personal profile data of patient personal data for the patient. The nodes may generate new data and / or new sub-tokens (or other blockchain entry type) representing new data, which the nodes associate with the token scaffold. The sub-tokens contain data for representing physical or digital specimens, health data, and data derived from the health data (e.g., cell lines, organoids, other model systems). As the nodes generate and associate new sub-tokens to the patient's token scaffold over time, the token scaffold graphs and facilitates integration of patient-specific data and evolves into a robust electronic health record (EHR) and digital twin.

This application provides a service widget display method, an electronic device, and a storage medium. The method includes: receiving a first operation of a user in a first state; displaying a first service widget in response to the first operation, where the first service widget includes a first target service; receiving a second operation of the user in a second state; and displaying a second service widget in response to the second operation, where the second service widget includes a second target service; and the first target service is different from the second target service, and one or more of the following information of the electronic device in the first state and the second state are different: a current location and current time of the electronic device.

The invention discloses a customizable AI agent management platform for enterprise demands and a management method thereof, and relates to the technical field of artificial intelligence, and the platform comprises a demand acquisition module, a demand analysis module, an application scene decomposition module, an AI agent deployment module and a monitoring feedback module. Collecting enterprise demand description data for preprocessing, extracting demand elements, converting the demand elements into execution tasks, and constructing an execution task sequence; decomposing the execution task sequence based on the application scene, and constructing a sub-task execution chain adaptive to the demand application scene; constructing an agent recommendation model, selecting a model from the pre-training model library according to the subtask execution chain, and configuring an AI Agent for deploying an application scene; and evaluating the operation effect according to the execution result of the AI Agent, and carrying out optimization and improvement. The AI Agent is flexibly configured according to enterprise requirements, multi-scene application is supported, the threshold of using the AI technology by an enterprise is lowered, and the application effect of the AI technology in actual business is improved.

The invention belongs to the technical field of Linux kernel schedulers, and particularly relates to a Linux kernel scheduler parameter optimization system and method.The Linux kernel scheduler parameter optimization system comprises a data collection module, a large model training and optimization module, a kernel scheduler module, a code generation and verification module, a small model training module and a small model reasoning module; the large model is responsible for periodically providing a visual angle of global optimization, generating an initial weight and a scheduler prototype of the small model, extracting a rule from long-term accumulated data, and ensuring that an optimization strategy has a global visual field. Meanwhile, the small model serves as a local adapter to process the dynamic scheduling requirement of a kernel mode in real time. The layered optimization mechanism can balance short-term adaptability and long-term performance improvement.

A multi-cloud overlay network for supporting communications between a first public cloud network and a second public cloud network. The overlay network features a management virtual private network, which includes a network load balancing (NLB) component and a controller registered as a target on a port of the NLB component. The overlay network further includes one or more spoke or transit gateways and a multi-cloud access virtual private cloud (VPC) operating within the first public cloud network, and a remote cloud load balancer component operating the second public cloud network. The remote cloud load balancer component is communicatively coupled between the multi-cloud access VPC and one or more remote spoke or transit gateways. The multi-cloud access VPC includes a VPC endpoint that is assigned a private IP address and communicatively coupled to the NLB component and a virtual private network (VPN) gateway communicatively coupled to a private transport.

The invention provides a personnel monitoring method and system based on an intelligent door lock and a storage medium. The method comprises the following steps: in response to a first operation or a second operation, capturing a first face image by a first intelligent door lock, determining that the first face image is a preset category member corresponding to the first intelligent door lock, starting a personnel monitoring function, and recording and sending a first monitoring message to a door lock management platform; if the first intelligent door lock does not capture the first face image within a preset time after the personnel monitoring function is started, a second monitoring message is sent to a door lock management platform; and sending a second monitoring message to a first family member APP associated with the first intelligent door lock ID according to the door lock management platform. Compared with the prior art, the door lock is used for judging the going-out and leaving records of the preset type of personnel based on the personnel monitoring method of the intelligent door lock, so that real-time monitoring is facilitated; through cooperation between the door locks, cooperative attention between the door locks is realized.

The invention discloses a data management system and method based on distributed cloud storage, and relates to the technical field of distributed cloud storage, and the system comprises an access log collection module, a node state monitoring module, a data thermal evaluation module, a redundancy strategy decision module and a storage execution scheduling module. A fragmentation access behavior is recorded through an access log acquisition module, a node state monitoring module acquires a node resource state in real time, and a data thermal evaluation module constructs a three-dimensional thermal model based on an access frequency, a network hop count and a storage cost to calculate a thermal value and supports dynamic weight adjustment; the redundancy strategy decision module divides the fragments into high frequency, medium frequency and low frequency according to the thermodynamic value, and single copy + local cache, erasure code storage and dynamic adjustment strategies are adopted respectively; the storage execution scheduling module executes fragmentation operation and optimizes reading node selection, and data access efficiency is improved through load awareness and a bandwidth-delay joint model; according to the invention, dynamic balance between data access efficiency and storage cost is realized.

According to the instruction processing system, method and device provided by the invention, the instructions can be efficiently and smoothly distributed and run through the at least one processing module of the processor, and different instruction distribution logics are adopted based on different types of business processing instructions through two-stage instruction distribution, so that the service processing efficiency is improved. The business processing instructions are stored in the target storage area and then scheduled to the instruction execution module, so that quick distribution and hardware support of different types of business processing instructions are realized, the instruction distribution efficiency is greatly improved, complex calculation tasks can be flexibly and efficiently processed, instruction scheduling can be performed according to the priorities of the business processing instructions, and the service processing efficiency is improved. The key business operation is ensured to be responded and processed in time, and the overall performance and the operation efficiency of the database processor are effectively improved. The technical effect of flexibly and efficiently processing the database acceleration task is achieved.

Techniques for cache management for reducing latency in LLM inferencing are described. In some embodiments, a system caches encoded data of portions of a prompt so that the encoded data is available for use by the LLM across dialog turns of a dialog session. Within a dialog session, a portion of the LLM prompt may be the same across dialog turns, and instead of recomputing the attention / encodings for such portions, the cached encodings can be used by the LLM during processing. In some embodiments, user inputs for the dialog session may be routed to the same LLM container and encoded data for the dialog session may be stored at the same cache associated with the LLM. In some embodiments, the system enables asynchronous prompt encoding while performing ASR processing.

The present application relates to the field of e-government technology, and discloses an e-government privacy and security protection system based on blockchain technology, including a blockchain layer, a data storage layer, a smart contract layer, a user layer, a privacy computing module, a dynamic authorization and trust scoring module, a revocable access permission module, a data tampering detection and reporting module, a decentralized identity management module, and an on-chain audit module; the blockchain layer is used to record and store data and transactions generated in the e-government process; the data storage layer is used to store encrypted sensitive data, and store the corresponding hash value and index on the blockchain. The computing task allocation is dynamically adjusted through the automatic coordination mechanism of the smart contract to ensure computing efficiency and data privacy. At the same time, the on-chain audit tool immediately verifies the compliance of the results and generates reliable decision-making recommendations, thereby providing reliable decision support and avoiding data leakage risks.

The invention discloses a data read-write request processing method, electronic equipment, a storage medium and a program product, and relates to the technical field of redundant arrays of independent disks, and the data read-write request processing method comprises the following steps: if the category of a data read-write request is a random read request, if target data corresponding to the random read request does not exist in a target cache, executing the random read request; the random read request is directly issued to a corresponding redundant array of independent disks for processing, and pre-read processing is not carried out; if the category of the data read-write request is the random write request, the random write request is stored by using the random write cache and the random write backup cache, and when the proportion of the random read-write request is less than the preset proportion threshold, the random write request is issued to the corresponding redundant array of independent disks for processing, and the random write request does not need to be merged; and the number of the random write requests issued in a centralized manner is reduced, the technical problem that the performance of the storage system is reduced by a mode of processing the random read-write requests in related technologies is solved, and the technical effect of improving the performance of the storage system is achieved.