114 results about "Retargeting" patented technology

The invention relates to the technical field of power monitoring system network security and real-time micropatch hot deployment, and discloses a power disaster recovery system-oriented micropatch non-inductive deployment engine, a resource scheduling method, a system, equipment and a medium, and the method comprises the steps: capturing system events through a kernel eBPF probe, and carrying out feature extraction and model reasoning; generating and transmitting an encrypted scheduling token; loading and verifying a patch fragment by a patch agent, inserting a jump instruction through a kernel interface to redirect an execution stream, and maintaining multi-kernel cache consistency; fusing multi-source telemetry data to carry out fusing judgment, realizing network isolation and calling a key service to cancel a key; and collecting runtime indexes and performing trend prediction, triggering a recovery or rollback operation according to a result, and storing an operation result and data through a block chain. According to the method, through combination of deep fusion of multi-source heterogeneous data, dynamic reasoning of a knowledge graph and strategy optimization of reinforcement learning, efficient perception and defense of a complex attack scene of a digital power grid are realized.

The invention discloses an SRv6 computing power network path optimization method and system based on multi-dimensional dynamic scoring, and belongs to the technical field of communication networks, and the method comprises the steps: building a multi-dimensional dynamic scoring system of load scoring, delay scoring and service priority scoring through collecting node loads, link congestion, geographic distances, topology hops and service types in real time; the method comprises the following steps: dynamically selecting an optimal path based on a DMPSC-T table (including a LastUpdate Time / ExpireTime timestamp mechanism); and when a better path is detected, an End.Redit instruction newly defined by SRv6 is utilized to trigger SID dynamic replacement: an Endpoint node directly replaces a target SID in a SegmentList, and a transfer node generates an ACL rule through a PBR to realize redirection. According to the invention, millisecond-level path switching can be realized, the service quality of high-priority business is effectively improved, and the global scheduling efficiency of network resources is optimized.

Systems and methods receive input(s) for identifying a user profile, transmit identifier data identifying the user profile, and display an initial GUI depicting information associated with the user profile. Prompt data is received to initiate generation of GUI(s) that include customized prompt(s) that identify opportunity-based development actions. Based on receiving the prompt data, the GUI that includes at least one prompt of the customized prompt(s) is dynamically generated and displayed via a user interface of a user device, where the at least one prompt of the customized prompt(s) provides transfer information for redirecting a third-party to one or more locations for effectuating an opportunity-based development action.

The invention discloses a hybrid application running environment simulation method and device, equipment and a storage medium, and relates to the technical field of development and debugging, and the method comprises the following steps: obtaining a preset uniform resource locator matching rule and software interface configuration information; intercepting and redirecting a target webpage script development language resource request according to the uniform resource locator matching rule and the software interface configuration information to obtain a combined script; injecting the combined script into a current hypertext markup language page so as to mount a bridge object in a global action range of the hypertext markup language page; and simulating a hybrid application running environment according to the bridge object. Through proxy forwarding and bridge object injection, a running environment similar to the hybrid application is constructed in the PC browser, and the development and debugging efficiency and flexibility are improved.

The invention relates to the field of electric digital data processing and artificial intelligence session systems, and discloses a dynamic intention recognition and multi-agent seamless switching session system and method based on a large language model, and the system comprises an LLM central routing module, an agent session state management module and a cross-platform agent adapter pool. The intelligent agent session state management module defines a main context heap in a physical memory and manages a memory address of a private context block, the LLM central routing module maintains an active context pointer, and session switching is achieved by redirecting the pointer to a target memory address. Therefore, the problems of system delay and resources caused by high-frequency I / O (input / output) are avoided.

The application discloses a kind of cloud desktop peripheral redirection automatic test method and terminal, by the mode of script, automatically obtain the peripheral equipment that local has accessed and automatically obtain the peripheral equipment information list of cloud desktop inside peripheral redirection;Get the peripheral equipment information after peripheral redirection in cloud desktop, then three kinds of information are compared, when comparing consistent, the simulation use test of peripheral equipment is carried out.Therefore, through the script automatic test can reduce manpower investment, improve test efficiency, and using script can guarantee the consistency and repeatability of test, through the quality of script can determine the quality of test, the task of repeatability is automated, improve accuracy, test efficiency and the enthusiasm of test personnel, conducive to the test maintenance of later period and does not need to occupy larger storage space.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may compare an external list of ping pong handovers or redirections that is maintained by an access point, and an internal list of ping pong handovers or redirections that is maintained by the UE. The UE may identify a ping pong detection criterion, for a handover or redirection between a first network node and a second network node, based, at least in part, on the external list, the internal list, both the external list and the internal list, or neither of the external list nor the internal list indicating a previous ping pong handover or redirection between the first network node and the second network node. Numerous other aspects are described.

System and Method for Limiting Access to a Resource. This description relates to a computer device comprising: a memory device configured to store a software application; a processing device connected to the memory device and configured to execute the software application; and one or more resources that can be called by the execution of code in the software application, wherein the memory device, or an additional memory device, is configured to store a redirection table (411) indicating, based on one or both of a calling address and a called address of a call to one of the resources, an alternative address to which the call is to be forwarded, the computer device further comprising software or hardware for intercepting a call from the software application and redirecting the call based on the redirection table (411). Figure for the abstract: Fig. 4

The invention discloses an SCADA (supervisory control and data acquisition) system interface point rerouting method, system, equipment, medium and product, and relates to the field of SCADA systems, the method comprises the following steps: in each HMI (human machine interface) of an SCADA system, respectively receiving a pre-configured variable redirection script for binding two preset logic point identifiers, the picture logic point identifier is directly associated with the picture element in the current HMI interface and is not directly associated with the physical equipment monitored by the SCADA system, and the equipment logic point identifier is opposite; when a trigger instruction for the variable redirection script of any HMI interface is received, after it is detected that the logic point identifier of the current picture is bound with the logic point identifiers of other devices, the binding relation is unbound; and binding the unbound current picture logic point identifier and the unbound current equipment logic point identifier so as to complete redirection of the picture elements and the physical equipment in the HMI interface. The expansibility of the system is improved.

The invention provides a robot dynamic interaction skill learning method and system based on a monocular video, and relates to the technical field of robot control and computer vision crossing. According to the method, the end-to-end, high-fidelity and high-robustness imitation learning ability of the physical robot for executing the dynamic interaction task from monocular vision observation is realized. According to the method, the objective function is optimized, so that the reconstruction result is ensured not only to be consistent with the video visually, but also to be reasonable and achievable physically, and the reconstruction result which is highly consistent physically provides high-quality input for action redirection. In the action redirection process, space-time constraints for interactive contact events are introduced, and it is ensured that the generated robot reference joint trajectory meets physical executable conditions at key interactive moments. Finally, a gap from simulation to reality is reduced by learning a training control strategy, and end-to-end simulation learning from monocular vision observation to physical robot execution is realized.

Live streaming processing method and device. Embodiments of the present application provide a live streaming processing method, device, computer equipment, computer readable storage medium and computer program product, and belong to the field of network live streaming. The method comprises: obtaining freeze state information and bottom-up source information corresponding to a target live stream; determining whether to perform rollback processing on the target live stream based on the freeze state information; in the case of determining to perform rollback processing on the target live stream, determining a target rollback address according to the effectiveness of the bottom-up source information, wherein when the bottom-up source information is available, the target rollback address is a bottom-up playback address; when the bottom-up source information is unavailable, the target rollback address is a redirection service address; and returning a redirection result corresponding to the target rollback address. The technical solution of the embodiments of the present application can improve the responsiveness of playback processing in abnormal scenarios and improve the stability of playback resource acquisition.

The invention discloses a software and hardware collaborative RDMA atomic operation acceleration method, which comprises the following steps: dynamically collecting and reporting atomic operation target address popularity through a client, and dynamically formulating a table locking slot scheduling strategy by a server in combination with a CPU load according to the popularity so as to realize a fine-grained unloading decision; the client carries out real-time scheduling according to a strategy; a low-heat slot is executed by a network card hardware atomic instruction, and a high-heat slot is redirected to an RPC to be processed by a server CPU; the switching process depends on a client side consensus and a global consensus; and the RPC thread of the server side verifies the strategy identifier and the consensus state before execution, and rejects an inconsistent request. According to the method, performance optimization of RDMA atomic operation is realized through heat perception, dynamic scheduling, network card and CPU collaborative execution and a two-stage consensus mechanism.

Methods, systems, and devices for managing a data processing system that provides computer implemented services are disclosed. To provide the computer implemented services, a system may include hardware components in a chassis of the data processing system. A liquid cooling system may dissipate heat generated by the hardware components. The liquid cooling system may include a cooling path adapted to direct a liquid through at least a portion of the chassis. To extract a portion of the liquid in the chassis that escaped from the cooling path and into an interior of the chassis, the system may further include a liquid collection system. This liquid collection system may include an aggregation component adapted to direct the portion of the liquid to a liquid redirection component, and the liquid redirection component adapted to flow the portion of the liquid at least out from under the chassis.

The invention relates to the technical field of universal parallel computing clusters and multi-tenant management, in particular to a load balancing system, method and device for a multi-tenant scheme in a universal parallel computing cluster and a medium. The system comprises cluster nodes, wherein each cluster node comprises one or more CPUs, a node mapping table and a device redirection layer; the global mapping layer / load balancing layer is used for creating a parallel processor pool, selecting a target processor and maintaining an equipment state table, a scheduling feedback table and a strategy table; and the parallel processor pool is used for performing abstraction management on the general parallel processors in the cluster, and issuing, monitoring, recording and releasing of the application programs are executed by the equipment scheduler. Fine-grained calling and high utilization rate of the parallel processor are realized, and the scheduling capability and utilization efficiency of the parallel processor are improved.

Message processing is described, in which each of first and second computer systems have a message operator configured to process messages to manage a data structure having a state determined via the processing. The message operator of the first computer system is configured to reroute unprocessed messages to the message operator of the second computer system such that the message operator of the second computer system establishes an order of an input message stream and a current state of the data structure arising from the input message stream. The message operator of the second computer system is configured to, once the current state is established, send the messages of the input message stream to the message operator of the first computer system in accordance with the established order such that the current state of data structure is recreated by the message operator of the first computer system.

An action redirection method includes: segmenting a target character based on semantics of different parts of the target character, to obtain a plurality of first body segments related to the target character; modeling each first body segment based on a first coordinate system marked on the first body segment, to obtain a plurality of first geometric models, where one first geometric model represents a shape of one body segment; performing collision detection on the plurality of first geometric models; and when first geometric models collide with each other, adjusting a distance between the first geometric models that collide with each other, and adjusting an action sequence of the target character based on an adjusted distance. Thus, a coordinate system is constructed for a body segment of the target character, and a geometric model is output through modeling, so that accurate geometric expressing of the body segment is implemented.

One or more techniques and / or computing devices are provided for managing an arbitrary set of storage items using a granset. For example, a storage controller may host a plurality of storage items and / or logical unit numbers (LUNs). A subset of the storage items are grouped into a consistency group. A granset is created for tracking, managing, and / or providing access to the storage items within the consistency group. For example, the granset comprises application programming interfaces (APIs) and / or properties used to provide certain levels of access to the storage items (e.g., read access, write access, no access), redirect operations to access either data of an active file system or to a snapshot, fence certain operations (e.g., rename and delete operations), and / or other properties that apply to each storage item within the consistency group. Thus, the granset provides a persistent on-disk layout used to manage an arbitrary set of storage items.

The invention provides a dynamic DAST scanning method and system and a readable storage medium, and belongs to the field of network security and software engineering automation, and the method comprises the steps: automatically triggering a scanning task when a Developops process runs to a sec security node, and obtaining an interface or URL list; the method comprises the following steps of: processing script rendering, event triggering and redirection by adopting a dynamic crawler acquisition entrance which takes Scrapy as a core and is combined with Pyppeteer, and reducing acquisition failure caused by forbidding through strategies such as a proxy pool, a User-Agent, a Referer and session maintenance; after fingerprint identification and port scanning are carried out on the collected URL, tasks are distributed to xray passive scanning and AWVS active scanning by utilizing Celery scheduling; and after field extraction and format unification are carried out on different engine results, the results are written into MongoDB and duplicate removal is carried out, a customized scanning report is generated and returned to a Developops process to serve as sec node output, and therefore automatic safety scanning and early warning repairing are achieved in the development full life cycle.

A computing platform may train a machine learning model to detect and analyze threat actor activities. The computing platform may generate dynamic honeynets and deploy the generated dynamic honeynets as adaptive defenses to threat actors in a computing environment. The computing platform may adapt to threat actor activities based on the analyzed behavior of the threat actor and any identified tools used by the threat actor to gain access to the computing system. The computing platform includes a digital twin infrastructure that causes redirection of the threat actor into a specific controlled computing environment including sandboxes through generation and deployment of dynamic honeynets.

The application provides a kind of equipment digital twin dynamic damage assessment method and system based on multi-physical field joint simulation, related to digital twin and computer simulation technical field.The method comprises: constructing the collaborative simulation middleware of mapping multi-physical field digital twin model;Access real-time telemetry data, drive distributed multi-physical field solver node to execute joint simulation deduction;Monitor node interaction message state, identify the target solver node of message interaction exception;Block the original publishing authority of the target solver node and redirect the output pointer to the isolated memory area;Broadcast rollback instruction to the remaining normally operating nodes to backtrack to the nearest steady-state synchronization checkpoint;Load virtual degradation agent process;Bind the virtual degradation agent process to the communication topic channel defined for the target solver node in the interface control file, output degraded substitute data, maintain joint simulation deduction and output evaluation results.The application ensures the continuity of equipment damage cascade assessment deduction.

A verification method for a layout of an integrated circuit performed by a computer device includes comparing a first netlist corresponding to a schematic diagram of the integrated circuit and a second netlist corresponding to a first layout of the integrated circuit, generating a second layout by applying a pre-input retarget rule to the first layout in response to determining that the first netlist and the second netlist correspond to each other, generating a first text file, including coordinate data for each of layers included in the first layout, from the first layout, generating a second text file, including coordinate data for each of layers included in the second layout, from the second layout, and outputting verification information indicating whether a difference between the first layout and the second layout corresponds to pre-stored feature data, based on the first text file and the second text file.

A method may include: an originating system receiving decisioning data from an applicant as part of an application for a product, the originating system redirecting the applicant to a sensitive data capture computer program; the sensitive data capture computer program receiving a unique identifier from the originating system; the sensitive data capture computer program receiving the sensitive data from the applicant, wherein the originating system does not have access to the sensitive data; the sensitive data capture computer program associating the sensitive data with the unique identifier; a matching computer program receiving a decision from the originating system on the application and the unique identifier; the matching computer program receiving the sensitive data and the unique identifier from the sensitive data capture computer program and matching the sensitive data and the decision using the unique identifier; and a compliance reporting program generating a report using the match.

Various embodiments described herein control circuitry of a computing device to invalidate certain data elements associated with a forward conditional branch instruction (FCBI) to prevent computational inefficiencies, such pipeline flush. The data elements that are invalidated may correspond to conditional code associated with an FCBI. To make FCBIs more efficient, certain embodiments continue with a not-taken path that is invalidated if a branch resolves to be taken. This results in efficiencies because either the prediction was correct; or when the wrong path is taken, the wrong path is invalidated, thereby avoiding any resource utilization in redirection. In this manner, the FCBI may be executed more quickly or efficiently because certain data elements, such as the conditional code, are invalidated. Accordingly, certain embodiments improve computational inefficiencies, enhance performance of complex computational workloads with certain branches, and reduce or altogether eliminate pipeline stall and flushing for certain workloads.

The invention relates to the technical field of AI system architecture design, in particular to a method and system for arranging agent design based on visual workflow and a medium. The invention provides a visual workflow arrangement agent design method based on specific nodes and connection lines, solves the problem that an existing framework cannot be flexibly expanded and self-defined, adopts collaborative design of routing nodes, redirection nodes, subgraph nodes and perception and decision nodes, and can be compatible with both a classical mode and a subgraph mode under a unified workflow architecture. The intelligent agent decision-making framework has the complete logic expression ability, the node relation and the data flow direction are directly defined through a visual interface, the visual configuration of nodes and connecting lines is supported, the workflow of the intelligent agent can be constructed and adjusted without complex coding, and the intelligent agent decision-making framework has the complete logic expression ability. The development efficiency and logic adjustment convenience are greatly improved, and the problems of low development efficiency and complex debugging caused by dependence on code or script configuration in the prior art are solved.

The application discloses a kind of six-layer integrated AI full-stack computing architecture methods of global uniform DAG, this method is refined layer by layer, resource binding and hardware mapping under different granularity by same logic DAG, solve the problem that task semantics is lost in layer-by-layer transmission, high-order dependence is difficult to accurately express, execution state cannot be structured back, abnormal recovery depends on overall retry, checkpoint reference is easy to be suspended, security SLA cannot be conducted across layer.The scheme realizes the lossless transmission of task semantics, dependency relationship, resource constraint, priority, SLA, security policy, exception strategy and global optimization target in six-layer architecture, and the structured back of bottom execution state to top layer, supports the high-concurrency, high-reliability operation of multi-agent system in large-scale, multi-department, multi-business scenario.

The invention discloses a method and a device for performing automatic crawler testing on an applet by using a browser, and relates to the technical field of software testing and data crawling. The method comprises the following steps: acquiring a front-end source code of the applet, converting the front-end source code into a format which can be analyzed and executed by a browser, and redirecting a native API (Application Program Interface) call of the applet to simulation implementation in the browser; when JavaScript used for simulating the core running environment of the applet is injected and executed in the browser instance for running, interactive elements are recognized based on the current page state in the constructed browser simulation environment, interactive operation is executed according to a preset crawler strategy, and page state changes are monitored and iteratively executed till a termination condition is met; and intercepting and recording all network requests and response data through the man-in-the-middle agent, and analyzing and extracting the structured information based on a preset rule. According to the method, efficient and automatic testing and data crawling of the applet in a standard browser environment are achieved, and dependence on a real machine environment is avoided.

The application discloses a data processing method and device, and relates to the technical field of computers. A specific implementation of the method comprises the following steps: receiving a data processing request sent by a requester, wherein the data processing request comprises a callback address; judging whether the data processing request comprises a callback function; if yes, determining a callback parameter value according to parameter information indicated in the callback function, performing redirection processing on the callback address according to the callback function and the callback parameter value; and calling the callback address after the redirection processing to the requester. The implementation increases the autonomous control right of the requester on the callback result, meets the real-time and diversity requirements of the requester, expands the applicable scene of the data processing method, and improves the user experience.

The application discloses a vector library model heterogeneous scheduling method and system facing asymmetric hardware resources, and belongs to the technical field of hardware scheduling. The vector library model heterogeneous scheduling method facing asymmetric hardware resources extracts a computation memory ratio to construct a global asymmetric feature matrix by monitoring physical indexes of nodes in real time, divides the nodes into computation advantage type nodes and capacity advantage type nodes; decouples a vector processing request into reasoning subtasks and retrieval subtasks, and schedules the subtasks to corresponding type nodes based on the global asymmetric feature matrix; for extreme asymmetric nodes, adopts double-buffer asynchronous scheduling based on a three-level storage architecture to completely overlap computation operation and data transfer; monitors resource saturation in real time, and performs subtask cross-node migration and asynchronous compensation computation based on a redirection strategy. The application significantly improves resource utilization and response real-time performance of a heterogeneous cluster under mixed loads of AI reasoning and vector retrieval, reduces transmission delay, and expands model deployment capacity.

The invention provides a request processing method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence and cloud computing, in particular to the technical field of a content delivery network (CDN) and the like. According to the scheme, in response to a received to-be-processed service request sent by a client and the to-be-processed service request is scheduled to a first target edge node, an actual bandwidth and a target bandwidth of the first target edge node in a current time period are obtained; in response to the fact that the actual bandwidth is larger than the target bandwidth, determining a second target edge node from at least one non-overload candidate edge node according to a traffic scheduling strategy which aims at minimizing the scheduling cost and meets the traffic scheduling requirement in the current time period; according to the IP address of the second target edge node, redirecting the to-be-processed service request to the second target edge node, and receiving a first target response generated by the second target edge node in response to the to-be-processed service request; and sending the first target response to the client.