87 results about "Response time" patented technology

This invention belongs to the field of intelligent push notifications, and particularly relates to an intelligent push notification method and system for confined space operation approval processes. The method includes: obtaining the identifier of the pending approval node and the associated set of approval parameters for the target operation application; mapping and formatting the operation application information according to the mandatory approval field requirements to generate a dedicated approval form for each node; refreshing the real-time approval task cache with the dedicated form when a push notification is detected; collecting the approver's running status feedback value, matching it with the permission list to obtain the permission verification result, and comparing it with the timeliness threshold to obtain the timeliness detection result; if the permission verification is successful and the timeout has not occurred, and if the task is completed and the information is complete, generating a push priority based on the next node approver's permission level and historical response time, and simultaneously pushing it to their APP and PC terminals and updating the records; otherwise, generating an approval timeout reminder and pushing it to relevant parties and marking it as abnormal. This invention achieves dynamic tracking and intelligent push notifications, improving the timeliness and traceability of approvals.

This application provides a method, apparatus, device, medium, and program product for determining timeout, relating to the field of electronic equipment technology, and is used to improve the stability and resource utilization efficiency of distributed systems. The specific technical solution is as follows: Obtain call data from the most recent N calls to a distributed service; the call data includes: call response time, call result, percentage of active threads in the thread pool, and call frequency load; N is a positive integer; determine a real-time load coefficient based on the percentage of active threads in the thread pool and the call frequency load; determine a response time fluctuation coefficient based on the standard deviation and average value of the call response time; determine a timeout failure rate based on the number of timeout failures in the call results; and determine the timeout time corresponding to the distributed service based on the real-time load coefficient, response time fluctuation coefficient, and timeout failure rate. This application is applied to scenarios involving determining the timeout time of distributed services.

This disclosure provides a processing method, apparatus, computer device, and storage medium for an input method application. The method acquires interaction smoothness optimization instructions for the input method application; collects input event response time and page rendering time within a target acquisition period; performs application stuttering detection on the input method application based on the input event response time and page rendering time, obtaining stuttering detection results; when the stuttering detection results indicate that the input method application experiences stuttering, acquires hardware configuration data and load information of the target terminal; determines multiple target optimization operations from multiple smoothness optimization operations based on the hardware configuration data and load information; and modifies the settings of the input method application based on the multiple target optimization operations. This method can improve the detection efficiency of application pages. This method can improve the stuttering problem of input method applications.

This invention discloses a memory-based behavioral adversarial interactive identity verification method and apparatus based on a metaverse. The method involves: acquiring first behavioral information from user feedback based on received interactive information during the interaction process; determining a difficulty weight index for each interactive message received by the user in historical interactions and its historical average response time; constructing a memory tree for each user based on the difficulty weight index; building an adversarial model; obtaining second behavioral information through the adversarial model's feedback of interactive information; performing conditional loop-based adversarial verification based on the first and second behavioral information to obtain a verification result; determining the order of interactive information by combining the memory tree and the previous verification result during the adversarial verification process; obtaining a comprehensive verification score based on all verification results and the difficulty weight index; and determining the user's identity verification result based on the comprehensive verification score, thus making the identity verification result more accurate and objective.

This invention relates to the field of intelligent testing technology for power equipment, specifically an AI-based performance testing device for power safety tools. The device includes: collecting performance state sequences of the tools, identifying inflection points in operation response time to divide monitoring intervals, and automatically identifying specific testing environments requiring focused analysis by comparing the distribution of abnormal events. For each key environment, the device calculates the dynamic similarity of the tool's physical parameter sequences and generates a sensitivity vector by combining it with historical data, then corrects this using statistical features to obtain a comprehensive evaluation vector. A hierarchical cascaded network is constructed based on the comprehensive evaluation vectors of all tools, and appropriate performance testing programs are dynamically allocated based on the network structure. This invention achieves intelligent identification of testing environments and dynamic optimization allocation of testing programs, improving the targeting of testing and resource utilization efficiency.

The application belongs to the technical field of teaching practical training scene simulation control, and specifically discloses a teaching practical training scene simulation control method based on PLC technology, which comprises the following steps: constructing a fault mode library containing low, medium and high levels, randomly distributing faults from the low fault level, loading a simulation scene, collecting fault identification response time and adjustment operation sequence, verifying diagnosis accuracy and evaluating fault recovery degree after executing the sequence, generating a practical operation qualification degree according to different conditions, then judging promotion and dynamically adjusting the fault level according to the qualification degree, and generating a student comprehensive ability evaluation report based on the qualification degrees in the previous iterations; the application constructs a fault mode library containing low, medium and high fault levels based on historical power operation data, and dynamically adjusts the fault level to be distributed subsequently according to the practical operation qualification degree, thereby overcoming the defects of static preset fault situations, and realizing a personalized and gradual skill upgrading path.

This invention provides a GPU resource allocation method, apparatus, electronic device, and storage medium. The method includes: in response to an inference task request, determining an execution server among several servers to execute the inference task request; wherein multiple service models of inference services awaiting GPU allocation are deployed in the memory of the several servers, each server deploys a GPU management unit for allocating GPUs to the inference service, and the execution server deploys a target inference service required for executing the inference task; and allocating GPUs to the target inference service through the GPU management unit. This method avoids latency caused by thread start-up and shutdown by pre-deploying the service models of the inference service in the server's memory, placing them in a state of being started but awaiting activation. The method of this invention can significantly reduce the response time of inference services, providing a better user experience.

The application provides a webpage data acquisition method and device, an electronic device and a storage medium. The method comprises the following steps: in response to an operation instruction of a user on a webpage interface, determining whether response data corresponding to the operation instruction is stored in a local cache; when the local cache has the response data, acquiring and displaying the response data; when the local cache does not have the response data, constructing an AJAX asynchronous request message to acquire the response data from a server and display the response data. In this way, the server load can be reduced, the waiting response time can be avoided, the webpage loading speed can be improved, and the user experience can be improved.

This analysis device comprises a communication unit for communicating with a display device, and a sensor for acquiring an image displayed on the display device, wherein: a plurality of response times respectively corresponding to times at which a plurality of first gray values are changed to a plurality of second gray values are recognized on the basis of first and second images acquired by the sensor; information corresponding to correction of an overdrive table of the display device is recognized on the basis of the difference between the plurality of response times and a reference response time, and the overdrive table of the display device is corrected by controlling the communication unit to transmit the recognized information to the display device. Each of the first and second images includes a plurality of gray values, and the gray values of the first and second images are different from each other.

This disclosure relates to reducing response times in conversational AI systems and applications. In various examples, response times (e.g., latency) associated with conversational artificial intelligence (AI) systems can be shortened by sharing partial results between modules or components of the conversational AI system. For example, rather than waiting for an ASR system to convert a user utterance into textual data, a system described in this disclosure can obtain a candidate prefix for the utterance from the ASR system and use a language model to predict the complete utterance based on the candidate prefix and generate a response to the predicted utterance. As more information is obtained (e.g., the remaining portion of the utterance), the language model can update the predicted utterance and / or the response. Additionally, in some cases, a system of this disclosure can begin forwarding a response to a text-to-speech (TTS) system before the language model completes generating the response.

The application discloses a kind of black light factory-oriented equipment response time test system and method, including test fixture, mechanical arm and controller;Controller is used to send control instruction to test fixture;Test fixture is used to when receiving control instruction, according to pre-compiled test case, test signal is sent to all devices to be tested in black light factory to carry out equipment response time test, and test report is sent to controller;Equipment response time test includes stop function response time test and special function response time test;Mechanical arm is used to when receiving reset instruction, to the stop signal and special signal generated by current device to be tested reset;Controller is also used to calculate stop function response time and special function response time according to test report.The application realizes the full automation operation of response time test in black light factory environment, eliminates artificial frequent wiring and reset operation, reduces artificial test cost, improves test efficiency and accuracy.

This application discloses a video playback method, device, and storage medium, relating to the field of video processing technology. The disclosed video playback method includes: responding to a video playback command and playing a target video on a target page within a preset video response time, wherein the preset video response time is 300ms to 600ms. This application can shorten the display latency of the first screen of video in smart home scenarios.

The application discloses a signal processing combination performance verification system based on DSP communication test, relates to the real-time test technical field of a digital signal processor, and specifically comprises: a homomorphism copying module, a slot injection module and a performance judgment module; the dynamic configuration parameters of a current DSP operation core are captured in real time through hardware sniffing of a bus, and the dynamic configuration parameters are mirrored to shadow registers; a peek unit is used to identify the bubble period of a pipeline through prediction logic; at the moment when the main computing unit is in a waiting period, the operation of the shadow register group is enabled by hardware, a preset characteristic test vector is input into a computing engine, and a shadow operation is completed; the real-time data flow of a main path and the reference data flow of a shadow path are compared in time domain and frequency domain by a hardware comparison array, the second derivative of a response time delay is calculated, a comprehensive performance factor is output, online verification of the combination performance of a DSP signal processing is realized, fault types can be accurately distinguished, and the reliability and maintainability of the system are improved.

The embodiment of the invention discloses a performance root cause positioning method and device for a micro-service system, a medium and a product, and relates to the technical field of micro-services. The method comprises the following steps: in response to an abnormal instruction of a service performance index of a front-end entry service, determining a candidate service set which is in the same service calling link as the front-end entry service, and obtaining a response time sequence of each candidate service in a preset time window; determining a baseline value, converting the original response time into a normalized relative change rate, and determining a service subset having fluctuation similarity with the front-end entry service; performing timing causal analysis on the service subset to determine a timing causal score; and determining a comprehensive root cause score based on the fluctuation similarity, the influence weight and the time sequence causal score, determining a root cause service with the highest confidence coefficient according to the comprehensive root cause score, and outputting a root cause report. According to the scheme of the invention, when the performance of the front-end entry service is abnormal, the root cause service is automatically identified, and the fault positioning efficiency is improved.

The application discloses a GPU storage access time delay optimization method and system based on deep learning, comprising the following steps: firstly, obtaining a storage access request sequence generated by a GPU computing task, constructing a storage address access heat map and a storage address step mode code, and inputting the storage address access heat map and the storage address step mode code into a storage time delay prediction network to identify a high time delay sensitive request segment; then, scheduling and rearranging the request sequence according to the identification result, adjusting the execution order of a request unit in the high time delay segment, changing the storage channel concurrent pressure distribution, and finally executing an access operation according to the reordered column by a GPU storage controller, so as to reduce the storage response time delay and improve the GPU memory access efficiency.

This invention discloses a smart community management method and system based on a 3D scene. The invention relates to the field of smart community management and includes the following steps: S1: Dynamic twin construction of the 3D scene, creating a dynamic 3D scene synchronized with the physical community in seconds, rather than a static model, ensuring accurate implementation of management actions; S2: Triggered perception and linkage of the 3D scene; S3: Dynamic resource scheduling optimization of the 3D scene, dynamically adjusting the community management resource configuration based on the real-time status of the 3D scene; S4: Iterative optimization of the 3D scene management effect. This invention's smart community management method and system based on a 3D scene, through dynamic twin modeling and scene-linked perception and early warning, constructs a synchronization system between the physical community and the 3D scene, replacing the manual inspection trigger mode. Abnormal situations can be automatically located, instructions generated, and synchronously fed back, thus significantly shortening the early warning and response time and improving technical linkage.

This invention discloses an adaptive control method for stamping die process parameters, relating to the field of stamping process control technology. The method includes: generating synchronous process parameter data based on multi-point displacement sensor data, pressure sensor data, and temperature sensor data within the stamping cycle through timestamp alignment processing; calculating process parameter rate values ​​based on the synchronous process parameter data; calculating instruction response time based on the process parameter rate values ​​and the instruction issuance and response times in the actuator instruction log; and generating timing deviation data by matching the instruction response time with the process parameter rate values. This invention achieves adaptive compensation of the control instruction sending timing for actual execution delay by associating the process parameter rate values, timing deviation data, and execution lag through a correlation model and dynamically updating the correction compensation parameters in the control instruction compensation function.

In various examples, response times (e.g., latencies) associated with conversational artificial intelligence (AI) systems may be reduced by sharing partial results between modules or components of the conversational AI systems. For example, instead of waiting for an automatic speech recognition (ASR) system to finish converting a user utterance into text data, the systems of the present disclosure may obtain candidate prefixes for the utterance from the ASR system and use a language model to predict the complete utterance based on the candidate prefixes, as well as to generate responses to the predicted utterances. As additional information is obtained (e.g., remaining portions of the utterance), the language model may update the predicted utterance and / or the response. Additionally, in some instances the systems of the present disclosure may begin forwarding the response to a Text-To-Speech (TTS) system before the language model finishes generating the response.

The embodiment of the present application provides a kind of probability bit circuit and the control method of probability bit circuit.It includes at least two probability bits and at least one coupling module, the coupling module is connected between two probability bits;The coupling module includes adjustable response time unit, the adjustable response time unit is used to the output signal of the first probability bit in the two probability bits is time shaping and then input the second probability bit in the two probability bits, or, the output signal of the second probability bit is time shaping and then input the first probability bit.In the premise that additional storage array is not needed, the continuous dynamic adjustable of weight is realized.

The application discloses a shield verification method and device, equipment and a computer storage medium. The method comprises the following steps: in the case of detecting the shield insertion, shield information of a user is acquired, and the shield information comprises the type of the shield; the shield verification mode is determined according to the type of the shield; the information of the user shield and the shield verification mode are sent to a service backend device, so as to acquire a signature template and a signature time from the service backend device; the signature template and the signature time sent by the service backend device are received; a signature request is sent to a shield component server according to the signature template and the signature time, so that the signature result is obtained by the signature of the shield component server. According to the embodiment of the application, when the business scene changes, the shield verification process is not affected, the same code can be used, if other business processes that need to be verified are added, the shield verification process does not need to be rewritten, a set of codes can be directly introduced, the development and maintenance work of the front end is reduced, repeated work is avoided, the research and development cost is saved, and the response time is shortened.

The application discloses an abnormality detection time interval determination method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring a first time interval between a failure of a target unit in a vehicle and a target module where the target unit is located entering a safe state; and determining an abnormality detection time interval corresponding to the target unit according to the first time interval and an abnormality response time interval corresponding to the target unit. According to the method, the inaccuracy of the abnormality detection time interval is reduced, the frequency of the situation that the vehicle triggers the safety mechanism incorrectly and does not trigger the safety mechanism in time is reduced, and the accuracy of the vehicle triggering the safety mechanism is improved.

The application relates to a global distributed computing power resource access method, device, program product and medium, and relates to the technical field of distributed computing. The method comprises the following steps: acquiring application layer response data of a computing power service endpoint, determining a target endpoint and a computing load evaluation value based on the data, and constructing a resource state table in combination with a network quality index, so that double evaluation of endpoint processing load and network transmission quality is realized; further, a candidate endpoint set is screened from the resource state table based on a service type identifier, and a comprehensive score is calculated by comprehensively considering the load evaluation value, the network quality index and a resource charging unit price, so that multidimensional trade-off of service quality and cost factors in the endpoint selection process is realized; finally, a flow type mark of a computing power request is identified, and a transmission strategy is determined according to the mark, so that differentiated transmission processing of different types of computing power requests is realized, and end-to-end response time delay is reduced.

This application discloses a method, apparatus, device, medium, and program product for cross-server access in a virtual world, relating to the field of computer technology. The method includes: establishing cross-server access permissions for a first account to a first server when cross-server occupancy information meets a first occupancy requirement; and sending first display data to the first account when the first account has cross-server access permissions to the first server. When a world entry request is received from the first account, the load status of cross-server accounts on the first server is obtained by acquiring cross-server occupancy information, and a decision is made on whether to allow the first account to cross-server access to the first virtual world managed by the first server by determining whether the load status meets the first occupancy requirement. This prevents the first server from being overloaded with too many cross-server accounts, thereby avoiding problems such as longer response times, downtime, and crashes due to excessive load on the first server, and ensuring the stable operation of the first server.

The application discloses an intelligent voice interaction method and device, a storage medium and an electronic device, and relates to the technical field of smart homes. The method comprises the following steps: starting timing from a response time of a text-to-audio (TTS) request, ending timing when a first TTS audio packet corresponding to voice text is generated, and generating a timing time period based on the response time and a completion time of the first TTS audio packet; sending one or more preheating audio packets to a terminal device within the timing time period, so that the terminal device plays the one or more preheating audio packets; stopping sending the one or more preheating audio packets to the terminal device, obtaining other TTS audio packets that are continuously generated after the completion time, and sending the first TTS audio packet and the other TTS audio packets to the terminal device, so that the terminal device plays the first TTS audio packet and the other TTS audio packets in sequence. By adopting the technical solution, the technical problem of how to improve voice interaction efficiency is solved.

This invention relates to the field of equipment management technology, specifically a method, system, device, and medium for intelligent monitoring of equipment operating status based on multi-dimensional data asynchronous compensation. The method includes receiving and parsing monitoring requests for the operating status of a target device; extracting physical features reflecting fluctuations in the target device's operation; generating a feature fingerprint representing the current operating condition of the target device when the fluctuation rate exceeds a preset device sensitivity threshold; matching the corresponding static device ledger information; calculating the time difference offset between the trigger time of the feature fingerprint and the sampling record time of the target static device ledger and performing asynchronous compensation alignment; and calculating the operating deviation index of the target device. This solves the memory bloat problem caused by full indexing of time-series data, improves data alignment accuracy, and reduces the response time for queries involving tens of thousands of devices to less than 0.8 seconds.

The application relates to the cross field of artificial intelligence and energy information technology, and discloses an energy business large model semantic understanding and application method and system, aiming to solve the problems of weak professional understanding ability, poor system expansibility, high response delay and lack of explainability of general large models in energy scenarios. The method comprises the following steps: receiving a user natural language request through a front-end interface, inputting a DeepSeek large language model after text preprocessing to perform intent recognition and parameter extraction, and realizing accurate semantic analysis in combination with an energy business knowledge graph; and performing task routing according to an intent label and parameter integrity. Through the above scheme, the semantic understanding accuracy is significantly improved to 89.2%, 18 types of business automatic responses are supported, the one-time problem solving rate reaches 83.6%, the end-to-end response time is less than 2.1 seconds, and a continuous optimization closed loop of "use-feedback-evolution" is formed.

This invention belongs to the field of computer storage technology, specifically relating to a cache management method for ensuring access fairness in ZNS-SSDs. The method includes: dividing the onboard DRAM into two categories: a normal area and a privileged area, assigning different permissions to different types of areas; recording I / O request characteristics to identify unfair applications; and rationally allocating and managing unfair applications and other I / O request data, storing them in the normal area and privileged area of ​​the onboard DRAM. This invention ensures access fairness in ZNS-SSDs by partitioning the onboard DRAM and placing data from unfair applications in the privileged area, thus shortening their response time. Furthermore, it dynamically adjusts the capacity of the privileged area based on its usage, alleviating resource idleness caused by an excessively large privileged area. This invention has the advantages of low cost and ease of implementation, while also possessing good scalability and practicality.

The application discloses a real-time task scheduling method and system based on an industrial Internet of Things, and a medium, the method comprising: taking a heterogeneous two-level bitmap structure as a unique carrier of task priority and readiness state, incorporating corresponding heterogeneous two-level bitmap search fixed overhead, and completing provable real-time admission control of a newly-built task through a response time iteration criterion; a ready task that passes the provable real-time admission control completes heterogeneous two-level bitmap search within a limited clock cycle; when the heterogeneous two-level bitmap search identifies mutual exclusion lock competition and priority inversion risk, a deterministic bitmap migration protocol is executed through a processor atomic instruction, the readiness queue is physically migrated at the moment when priority inheritance takes effect through the deterministic bitmap migration protocol, the problem of inheritance taking effect but scheduling lagging is eliminated, and the response certainty of a control task in a resource competition scene is ensured.

This invention relates to the field of response time testing technology for electro-hydraulic proportional valves, and discloses a method and system for testing the response time of electro-hydraulic proportional valves. The method includes: acquiring multi-point pressure, step response, pipeline length, and medium parameters, and unifying the time base to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference and recover sharp peaks; calculating hysteresis offset based on pipeline and medium parameters to perform time delay compensation and obtain an aligned sequence; truncating non-stationary segments to eliminate residual delay deviations; constructing a dynamic response dataset and extracting harmonic frequency domain representations, and reconstructing the pressure sequence by inverse transformation and superimposing compensation factors; calculating the deviation integral, adjusting dynamic compensation parameters and weighting corrections, and outputting an optimized reconstructed response sequence. This method can achieve accurate reconstruction of the true pressure response of the proportional valve, thereby improving the accuracy and reliability of response time testing.