15 results about "Time response" patented technology

This allows operators to respond to users with minimal waiting time. [Solution] The information processing system (10) comprises a central control unit (12), an operator terminal (16), a user terminal (18), and an automated response device (20). Prior to the operator of the operator terminal responding to the user of the user terminal, the automated response device automatically responds to the user for a predetermined period of time. The automated response device sequentially asks the user questions about several items that need to be confirmed and obtains answers from the user. When it obtains answers from the user, it decides whether to include an icebreaker in the next question based on the remaining time and the number of items that need to be confirmed. If there is sufficient time remaining, the next question, which includes an icebreaker, is sent to the user terminal.

The invention discloses a business processing time prediction method and device, a storage medium and electronic equipment, and relates to the technical field of information, the method comprises the steps of firstly obtaining dynamic feature data and static feature data, the dynamic feature data comprising processing equipment information and processing object information of a to-be-processed task; constructing a time prediction model according to the integrated learning model and the time sequence analysis model, and inputting the dynamic and static feature data into the time prediction model to obtain prediction processing time; and determining the target prediction time of the to-be-processed task according to the M prediction processing times. According to the method, dynamic and static feature data are comprehensively covered through dynamic and static multi-source data fusion, and the time prediction model can analyze the dynamic feature data based on the time sequence and can perform model optimization in real time according to the integrated learning model, so that the service processing time is predicted more accurately, and the service processing efficiency is improved. The prediction precision of the service processing time is improved, and the real-time response capability is enhanced.

This specification provides one or more embodiments of a data query method, apparatus, electronic device, and storage medium. The method includes: during a data query of queried data based on the compilation result of a data query language, in response to the end of a data query for the current data unit, obtaining a first query time for the current data unit, and swapping the order of a first predicate and a second predicate in the compilation result of the data query language, wherein the queried data includes multiple data units; in response to the end of a data query for the next data unit, obtaining a second query time for the next data unit; in response to the first query time being greater than or equal to the second query time, retaining the order of the first predicate and the second predicate in the compilation result; and in response to the first query time being less than the second query time, restoring the order of the first predicate and the second predicate in the compilation result of the data query language.

This disclosure relates to method and system for generating near real-time responses to user queries. The method may include generating, via a Large Language Model (LLM), a set of predicted queries and a corresponding set of predicted responses, based on historical data or a real-time input user query associated with a user account, using a customized knowledge graph; creating a set of predicted query embeddings and a set of predicted response embeddings, using an embedding model; comparing a subsequently received real-time input user query with each of the set of predicted queries through a similarity analysis; and upon successful comparison of at least one of the set of predicted queries, generating in near real-time, via the LLM, a response to the real-time input user query based on the set of predicted response embeddings of each of corresponding predicted responses using the customized knowledge graph.

This invention discloses a method and device for cybersecurity protection, aiming to solve the problems of slow response, complex operation, reliance on professional personnel, and susceptibility to errors in traditional manual network protection. This invention allows users to input attacking and victim IPs through a front-end web interface. The back-end server, based on a pre-set, full-scenario communication rule library, automatically identifies network regions and generates blocking or unblocking scripts adapted to different vendors' devices, executing protection policies in seconds via the SSH protocol. This invention introduces a whitelist mechanism to avoid mistakenly blocking critical business IPs and provides a graphical user interface, enabling non-professional personnel to participate efficiently in security handling. This invention achieves 24 / 7 automated, precise, and low-barrier-to-entry network security defense, significantly improving financial institutions' real-time response capabilities to high-frequency network attacks and constructing an autonomous and controllable intelligent network protection system.

The application provides a log regulation method, medium, product and equipment of a database cluster. The method comprises: in a plurality of backup databases of the database cluster, each backup database receives pre-written logs of a corresponding master database through leaf nodes of a self-paired heap; a backup database with the fastest playback progress is determined as a feedback backup database in the plurality of backup databases; in the case that all the pre-written logs received by the leaf nodes of the feedback backup database are special logs and the duration reaches a preset time threshold, idle control information is sent from the feedback backup database to the master database; the master database enters a business idle state in response to the idle control information and stops the generation and transmission of special logs. Through this method, a unified and coordinated idle feedback mechanism can be established in the multi-backup database cluster, the problems of signal redundancy, conflict and master misjudgment caused by independent feedback of multiple backup databases are solved from the root, the real-time response capability of the system is enhanced, and more efficient log transmission and application processes are realized.

This application relates to the field of machine learning, and more specifically, to a forgetting method and apparatus for recommendation systems based on differential privacy contrastive learning. The method includes: obtaining an original interaction graph, a forgetting user initiating a forgetting request, and a user's privacy sensitivity label based on user-item interaction data; performing knowledge transfer on a student model using a teacher model; predicting user preferences for items using both the teacher and student models, obtaining a loss value based on the preference results, and optimizing the student model based on the loss value; obtaining a perturbation interaction graph based on the privacy sensitivity label and the original interaction graph; and fine-tuning the model parameters of the student model based on the forgotten user and the perturbation interaction graph to obtain a student model optimized for forgetting, which is then used in the recommendation system to recommend items to users. This method addresses the difficulty of achieving complete and realistic forgetting of user data in existing recommendation systems, achieving a balance between recommendation accuracy and real-time response efficiency.

This disclosure relates to the field of charging technology, specifically providing a method, apparatus, electronic device, storage medium, and program product for time synchronization. The method includes: a power supply device sending a time query message to a powered device; in response to receiving a time response message returned by the powered device based on the time query message, obtaining the current time contained in the time response message; and executing a corresponding charging-related task based on the current time. In this way, the power supply device can obtain accurate time from the powered device, and thus execute corresponding charging-related tasks based on the accurate time.

A method for an intent handler. The method includes receiving, at the intent handler, an intent request from an intent owner, where the intent request comprises one or more expectations and one or more parameters including a maximum proposal time parameter, determining a proposal time based on an estimated time to process the intent request, in response to determining that the proposal time is less than or equal to the maximum proposal time parameter, determining the proposal for the intent request based on the one or more expectations, where the one or more expectations define requirements for a service to be delivered and the proposal includes one or more report parameters for an estimated delivery of the service using an autonomous domain, and in response to determining that the proposal time is less than or equal to the maximum proposal time parameter, sending, to the intent owner, the proposal.

The presently disclosed subject matter includes a system and method for decentralized endpoint detection and response (EDR) that enables scalable, relevance-driven security monitoring across large endpoint populations. Each endpoint locally processes security queries and generates a compact Lightweight Local Response (LLR) indicating whether a local result (LR) is relevant. Full LRs are transmitted only when their associated LLRs are confirmed by the system, reducing bandwidth, storage, and processing overhead. A dynamic batch cycle mechanism controls query distribution, allowing some queries to scale broadly while directing others to selected endpoints based on metadata. Query execution continues across batches until a batch termination condition (BTC) is met, followed by evaluation of a query termination condition (QTC) based on real-time response characteristics. This decentralized approach eliminates the need for centralized telemetry aggregation, improves scalability, enhances privacy, and reduces operational costs.

Systems, apparatus, articles of manufacture, and methods are disclosed to synchronize media playback at devices in a multicast environment. Disclosed is a system to synchronize media playback, the system comprising programmable circuitry, and a memory that stores executable instructions that, when executed or instantiated by the programmable circuitry, facilitate performance of operations, comprising transmitting, using a hypertext transfer protocol (HTTP), a first request in a first HTTP message to a first client device and to a second client device, receiving, from the first client device in response to the first request. a first time stamp associated with a first presentation, the first time stamp representing a first playback time within the first presentation, receiving, from the second client device in response to the first request, a second time stamp associated with a second presentation, the second time stamp representing a second playback time within the second presentation, calculating a time difference between the first time stamp and the second time stamp, determining whether the time difference satisfies a threshold, transmitting a second HTTP message to the first client device and the second client device in response to a determination that the time difference fails to satisfy the threshold, the second HTTP message to cause the first client device to pause the first presentation and the second client device to pause the second presentation, transmitting seek instructions in a third HTTP message to the second client device, the seek instructions to cause the second client device to synchronize the second presentation to the first presentation by setting the first and second playback times equal, and transmitting a fourth HTTP message to cause the first client device to resume the first presentation and the second client device to resume the second presentation.

The application discloses a real-time demand response method based on flexible resource adjustable control capability evaluation, comprising the following steps: 1, a new type of distribution system interactive collaborative operation framework considering the participation of demand flexible resources in regulation and control is constructed, wherein a real-time response demand is issued by a distribution network operator, and a production and sales aggregator with multiple flexible resources responds to the task in real time; 2, a flexible resource adjustable control capability evaluation method participating in system collaborative interaction demand is proposed, including the adjustable control capability of multiple flexible resources in time and power; 3, according to the collected adjustable control capability data of the flexible resources, the auxiliary service price of the demand response is designed, and the response task of each aggregator is optimized. The application solves the real-time demand response problem based on multiple models under the new type of distribution system interactive collaborative operation framework, and achieves the purposes of peak load shifting and reducing the overall operation cost of the system.

The application discloses a power task allocation and optimization method and system, and belongs to the technical field of power Internet of Things. The method comprises the following steps: obtaining a calculation task generated by a business terminal; extracting a feature vector T of the calculation task through an edge access point or an edge node controller; periodically broadcasting a resource state vector S of each edge node, and quickly matching the feature vector T of the task with the resource state vector S of a peripheral available edge node based on a fuzzy logic edge node resource state; modeling the feature vector T of the task and the resource state vector S of the peripheral available edge node as a dynamic system, and performing dynamic collaborative task allocation based on an improved gravity search algorithm; and unloading the task to a target edge node for execution according to the allocation result. The application has the effects of real-time response to network and load changes, accurate satisfaction of multi-dimensional quality requirements of power business, and realization of task allocation and optimization with the globally optimal efficiency of edge clusters.