28032 results about "Operating system" patented technology

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.

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.

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 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.

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 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 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.

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

A data collection system is disclosed to be communicatively coupled to a data platform configured to perform security monitoring of a compute environment. A sub-kernel component of the data collection system may collect sub-kernel data accessible from a sub-kernel space below an operating system of a compute resource in the compute environment. The data collection system may manipulate the collected sub-kernel data to prepare the sub-kernel data to be used by the data platform in performing the security monitoring of the compute environment. The data collection system may then communicate the manipulated sub-kernel data to the data platform. Corresponding methods, systems, and products for compute environment security monitoring using data collected from a sub-kernel space are also disclosed.

A consumer-operated kiosk can include an inspection area configured to receive a first device from a user. The kiosk can include an imaging device configured to image the first device when the first device is positioned within the inspection area. In some embodiments, the kiosk includes a vending apparatus configured to store a plurality of second electronic devices for purchase. The kiosk can include one or more release mechanisms configured to directly release any one of the second electronic devices from the vending apparatus. The kiosk includes one or more processors operably connected to the inspection area, the imaging device, the vending apparatus, and the one or more release mechanisms. The one or more processors can be configured to cause the imaging device to capture one or more images of the first electronic device, facilitate purchase of the first electronic device based at least in part on the one or more captured images of the first electronic device, receive a request to vend a selected phone from among the phones in the vending apparatus, and / or cause the one or more release mechanisms to release the selected phone directly from the vending apparatus into a vending bay of the kiosk.

The invention provides a PCIe resource dynamic configuration method and device, and relates to the technical field of computer hardware resource management. The method comprises the following steps of: establishing communication connection with the pluggable equipment through an expansion interface, and reading equipment identification information pre-stored in a characteristic value storage module of the pluggable equipment by utilizing an I2C (Inter-Integrated Circuit) interface; identifying mainboard PCIe resource allocation parameters and the equipment identification information; displaying configurable PCIe resource parameters on a system configuration interface, and providing configuration options which can be operated by a user; according to the device identification information and a configuration option selected by a user, a pre-stored PCIe configuration mapping table is inquired, a corresponding PCIe resource configuration instruction is generated, and the PCIe configuration mapping table comprises the device identification information and the corresponding relation between the configuration option and the PCIe resource configuration instruction; and configuring PCIe resource allocation of the mainboard according to the PCIe resource allocation instruction.

A tokenization system / platform / method for minting asset-class backed tokens on a distributed ledger is described herein. A tokenization system / platform receives a token configuration indicating multiple revenue-generating assets of different types and a minting party. The platform configures smart contracts to manage revenue associated with revenue-generating assets, including a first function to mint asset-class backed tokens backed by the plurality of assets and a second function to computationally apportion and distribute revenue among blockchain addresses of token owners. After deploying the configured smart contracts on the distributed ledger, the platform initiates blockchain transactions to invoke the smart contract functions, including a first transaction that mints tokens and assigns them to purchasing users' blockchain addresses, and one or more second transactions that distribute cryptocurrency corresponding to revenue among token owners. The system / platform / method may provide for fractional ownership and management of different types of revenue-generating assets and / or portfolios of revenue-generating assets.

A deployment orchestrator is provided that manages package deployments at different hierarchical levels. Each hierarchical level is associated with a particular type of resource object. The deployment orchestrator creates different of resource objects, each associated with a different hierarchical level and updates instances of the different resource objects based on information related to a package that is to be deployed. The deployment orchestrator performs processing associated with deploying the package at the hierarchical level based on information stored in the instances of the resource objects associated with the hierarchical level e.g., information related to a package that is to be deployed.

The invention provides a task processing method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of cloud terminals, agents, large models, natural language processing, deep learning and the like. According to the specific implementation scheme, a target task is received through an intelligent agent service, and a target application needed for executing the target task is determined; calling a task scheduling service through a model context protocol (MCP) service so as to select a target cloud terminal through the task scheduling service; and controlling a target application in the target cloud terminal through the cloud terminal control service to execute the target task.

Techniques are disclosed relating to a multi-agent search client. In an example method, a search agent application receives a query. The search agent application determines, using a search agent, one or more agents to each execute a portion of the query. The search agent application outputs, to a domain agent, a portion of the query. The search agent application determines, using the domain agent, an execution step based on the portion of the query and information about an executor. The executor generates instructions based on the execution step that are configured to generate a response to the execution step and outputs a command to execute the instructions. The executor then outputs, to the first domain agent, the response to the execution step. The search agent application outputs, using the search agent, a response to the query based on the response to the execution step.

The invention provides a cache management method, a cache management device, a computer storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of receiving a reasoning task request and distributing the reasoning task request to a target storage page; key value cache information of the first round of reasoning task is stored in a hard disk cache, and when the second round of reasoning task is executed, key value cache information generated before the second round of reasoning task is preloaded layer by layer from the hard disk cache; when the last round of reasoning task is received, storing first target key value cache information correspondingly generated by the last round of reasoning task into the matched target physical block; and performing hybrid grouping compression on key cache information and value cache information in the first target key value cache information to obtain second target key value cache information after quantization compression. According to the invention, triple balance of video memory-calculation performance-precision can be realized.

This invention presents a comprehensive platform designed for the generation, management, and execution of intercompany agreements through an automated, blockchain-based system. It employs AI and NLP technologies to assist in drafting customized agreements, taking into account international laws and corporate policies. The platform converts these agreements into immutable, transparent smart contracts deployed on a blockchain network, serving as a single source of truth. It ensures real-time compliance, automatic enforcement, and efficient dispute resolution by continuously monitoring contract performance. This integration streamlines financial processes, enhances regulatory compliance, and increases operational efficiency in managing complex intercompany relationships.

The invention discloses a process scheduling method and device based on an NUMA framework, electronic equipment and a storage medium, and relates to the technical field of computer systems.The process scheduling method comprises the steps that in the process running process, comprehensive performance scores of all NUMA nodes are calculated by obtaining performance index data corresponding to all the NUMA nodes respectively, and the performance index data of all the NUMA nodes are obtained; the target NUMA node is selected based on the comprehensive performance score to be bound with the execution core of the current running process, and the required memory page is pre-allocated for the current running process in the local memory area of the target NUMA node, so that the current running process can access the local memory of the bound NUMA node, the probability that the process accesses the memory across the NUMA node is reduced, and the memory access efficiency is improved. Therefore, the technical problem that the memory access delay is remarkably increased due to the fact that the process frequently accesses the memory across the NUMA nodes can be solved, and the technical effects of shortening the memory access delay and improving the system performance are achieved.

Technologies for configuring flexible hardware-accelerated rules in a Service Function Chaining (SFC) architecture are described. A DPU includes an acceleration hardware engine to provide a single accelerated data plane, and a processing device that generates a first virtual bridge and a second virtual bridge. The first virtual bridge is controlled by a first network service hosted on the DPU and has a first set of one or more network rules. The second virtual bridge has a second set of one or more user-defined network rules. The processing device generates a combined set of network rules based on the first set of one or more network rules and the second set of one or more user-defined network rules. The acceleration hardware engine processes network traffic data in the single accelerated data plane using the combined set of network rules.

The invention discloses a BMC intrusion protection method and device, a BMC and computer equipment. The method is applied to the BMC in the computer equipment. The BMC comprises a service module and a security detection module which are in communication isolation, and storage media accessed by the service module and the security detection module are isolated. The business module is used for providing a management function for parts in the computer equipment, and the security detection module is used for implementing security detection on the BMC. The method comprises the steps that the security detection module obtains data stored in the storage medium associated with the service module, analyzes the security situation of the data sensing service module, and obtains a security detection result. And when the security detection result indicates that the BMC suffers from the APT attack, restarting the BMC in a degraded starting mode. Through a deep defense scheme, namely on the basis of defense, intrusion detection capability is added to the BMC, a dynamic defense chain of defense, detection, degradation and recovery is formed, the APT attack resisting capability of the BMC is improved, and the BMC is ensured to be safe and credible.

Detecting package execution for threat assessments, including: receiving, from an agent on a host of a cloud deployment, data describing one or more active packages installed on the host, wherein each of the one or more active packages are identified by the agent from a plurality of packages in response to detecting a corresponding file open event; and generating a threat assessment for the host describing which of the one or more active packages have any known vulnerabilities.

Techniques are described herein for system for preserving memories and experiences through a Non-Fungible Token (NFT) engine. An example system includes one or more memories storing a set of computer-readable instructions including the NFT engine and one or more processors interfacing with the one or more memories. The one or more processors are configured to execute the set of computer-readable instructions to cause the system to: receive data of a user from a time period, and execute the NFT engine to: analyze the data to classify a memory experienced by the user during the time period based on a memory threshold, generate, for display to the user, an NFT based on the memory, and mint the NFT corresponding to the memory to a blockchain, wherein a portion of the data associated with the memory is linked to the NFT.

One aspect of the instant disclosure may provide a system and method for processing scatter-gather direct memory access (S-G DMA) instructions. During operation, the system may receive an S-G DMA instruction associated with a message and gather instruction context for the S-G DMA instruction. An S-G DMA processor may process the S-G DMA instruction based on the gathered instruction context and determine whether there exists a pending S-G DMA instruction associated with the message. In response to the presence of the pending S-G DMA instruction, the system stores the instruction context in a hot context cache at an address corresponding to the pending S-G DMA instruction. In response to the absence of the pending S-G DMA instruction, the system stores the instruction context in a cold context cache.

A system for dynamic asset addition management is disclosed. The system includes a communication interface and processor(s). The processor(s) is / are configured to obtain data associated with task(s) being performed by a set of assets, wherein the set of assets comprises a plurality of drones and the plurality of drones is at least semi-autonomous; determine to modify the set of assets based at least in part on the data associated with the task(s), including: 1) determining one or more capabilities associated with remaining task(s); and 2) determining a modification to the set of assets based at least in part on (i) the one or more capabilities associated with the remaining task(s), and (ii) one or more drone capabilities respectively associated with the set of assets; and communicate, via the communication interface, an instruction to at least one drone, the instruction indicating the modification to the set of assets.