32 results about "Time line" patented technology

Methods, systems, and devices for wireless communication are described. A first network node may transmit, to a second network node, first information that is indicative of a bandwidth capability of the first network node and a first random access message. The second network node may transmit a second random access message in response to the first random access message and via a quantity of physical resource blocks (PRBs). The second random access message may indicate a time period for transmission, by the first network node, of a third random access message responsive to the second random access message. The time period may be based on a threshold time period associated with the bandwidth capability of the first network node, and the threshold time period may be based on the quantity of PRBs via which the second random access message is transmitted.

The application discloses a CLLC resonant converter soft-start method, device, equipment and medium. The method comprises the following steps: a time domain model of a converter under PWM control is established, and a nonlinear mapping relationship between a voltage gain and a duty cycle is obtained by solving; the gain is set to increase linearly with time, and a nonlinear curve of the duty cycle changing with time is back calculated; finally, two-stage control is executed: in the first stage, the duty cycle is increased to a set maximum value according to the nonlinear curve every cycle under fixed high frequency, so that the output voltage linearly rises; in the second stage, the duty cycle remains unchanged, and the switching frequency is gradually reduced to the resonant frequency. The application can completely eliminate the current peak at the starting moment, shorten the forward starting time to one-tenth of the traditional time, realize smooth establishment of the output voltage without overshoot, and effectively reduce the high-frequency requirement of the device and the system cost.

Implementations described herein relate to methods, systems, and computer-readable media for metaverse event sequencing. A method may include receiving a request to cue a scene associated with a metaverse place from a user device, the scene associated with a master timeline of events, wherein each event of the master timeline of events is associated with a respective time point on the master timeline, and wherein the request includes a first cue point. The method may also include retrieving scene data associated with the scene, identifying a set of events with time points that are at or after the first cue point, transitioning the master timeline to the first cue point, recreating the set of events based upon a current point in the master timeline after the transitioning and in a sequence based on the master timeline, and providing the recreated events for display at the user device.

The present application relates to a kind of double-coated brake disc ultra-high speed laser cladding process method, comprising the following steps: according to brake disc surface area, the calculation formula of total energy output value of cladding efficiency, determine the total energy output value under the binding force qualified threshold;Set control factor, deduce the coupling formula of power, powder feed rate, efficiency and thickness;Using double-layer time-lapse cladding, establish radius time line speed kinematics model, accurately describe the second layer linear velocity variation law;Determine the compensation factor of second layer cladding, obtain the real-time compensation formula of power, powder feed rate changes with linear velocity in second layer cladding process.The present application is around the technical goal of high efficiency and high quality collaborative optimization, systematic design is carried out in process modeling, parameter coupling and dynamic control, on the premise of ensuring coating bond strength, forming quality and substrate deformation controllable, realize efficiency maximization, with stronger implementability and replicability, be conducive to standardization, large-scale development.

The application is a kind of webGL-based three-dimensional model action quick configuration method, first imports the 3D model made in the scene, selects the data information of the selected model by mouse point picking, adds to the animation queue, and can displace, scale, rotate and other operations on the model data in different dimensions, sets the model animation parameters of multiple groups with different interval time periods, forms a group of animation sequences, and the animation simultaneously meets the conditions of single-step playing, pausing, continuing playing, cyclic playing and adjusting the timeline pointer on the time scale to start playing. The application can be widely applied to various 3D scenes, is simple to operate, has strong universality and high flexibility.

A method for wireless communication performed by a user equipment (UE) includes receiving an LP grant for scheduling a low-priority (LP) uplink transmission in a time slot. The LP uplink transmission may overlap with a set of high-priority (HP) uplink transmissions in the time slot. The method further includes determining an uplink shared channel preparation time, variable depending on subcarrier spacing (SCS) configuration and UE processing time capability, based on the overlap of the LP uplink transmission with the HP uplink transmission set. The method further includes determining a time period up to the expected transmission time of each corresponding HP uplink transmission in the HP uplink transmission set scheduled based on the corresponding HP grant, the time period varying depending on the uplink shared channel preparation time and the time duration corresponding to a reported UE capability. The method further includes canceling the LP uplink transmission before its symbols overlap with the earliest HP uplink transmission in the HP uplink transmission set.

The application discloses a mine harmful gas disaster identification and early warning method based on multi-modal intelligent fusion, relates to the technical field of intelligent early warning, and comprises the following steps: unfolding gas concentration signals, wind speed signals, voiceprint signals and image signals collected by a mine monitoring system on the same time line, writing the signals into a continuous time chain according to a sampling time sequence, and generating a unified time anchor; based on the unified time anchor, projecting and processing the voiceprint signals along the time chain in a mine roadway space, distinguishing direct components and reflected components of the voiceprint signals according to propagation paths, and generating a reflected fingerprint band. The application realizes intelligent disaster early warning by time synchronization fusion of multi-source monitoring signals and alignment of voiceprint images, accurately identifies a gas injection path and a source point, eliminates reflection interference, realizes intelligent disaster early warning, and keeps ventilation actions and sound fields coordinated by rearranging air doors based on a false multi-source list and reverse time traction, thereby stabilizing an air flow structure and improving mine safety control capability.

Disclosed is a differential space-time trellis code system and method without using channel information. A transmitter used in the differential space-time trellis code system comprises a space-time encoder for space-time encoding input symbols; and at least one transmitting antenna. The space-time encoder space-time encodes the input symbols without using channel information, and the encoded input symbols are transmitted to a receiver through the transmitting antenna.

The application discloses a line dance target tracking detection method and system based on image processing. The method comprises the following steps: collecting the use environment data and use time of the line, generating a reference feature map by using a static reference image, and generating real-time frame features of each frame by using real-time line images. The position and amplitude of the line dance are determined by combining the two, and the dance frequency and the position of the antinode point are calculated. Based on the above data, the real-time dance detection risk coefficient is determined, and the trained model is used to predict the fault occurrence time according to the environment, use time, dance amplitude and frequency. Finally, the line tracking detection report is generated according to the real-time dance detection risk coefficient and the predicted fault time. Through the method of the application, intelligent prediction of the line fault occurrence condition is realized, the safety and reliability of the power system are greatly improved, and the power failure accidents caused by line faults are reduced.

This disclosure relates to a video processing method, apparatus, electronic device, and storage medium. The method includes displaying text data to be processed corresponding to a video to be processed, which includes media video and media audio, wherein there is a first mapping relationship between text timecode information corresponding to the text data to be processed and first timeline information corresponding to the media video, and a second mapping relationship between the text timecode information and second timeline information corresponding to the media audio, and in response to a first trigger operation on target text data among the text data to be processed, the method determines a target video segment corresponding to the target text data from the media video based on the first mapping relationship, determines a target audio segment corresponding to the target text data from the media audio based on the second mapping relationship, and performs processing corresponding to the target text data, target video segment, and target audio segment based on the first trigger operation.

The application discloses a cause-of-death chain auxiliary inference method and device, and the method comprises the following steps: acquiring a death investigation record text; generating an ICD coding list associated with a current death event based on a time line according to the death investigation record text; determining a cause-of-death chain compilation rule, a cause-of-death chain compilation case and each cause-of-death chain and its probability related to the current death event according to the ICD coding list; and determining the cause-of-death chain and the root cause of the current death event by using a Prompt prompt large language model in combination with the cause-of-death chain compilation rule, the cause-of-death chain compilation case and the cause-of-death chain and its probability. According to the application, the cause-of-death information extraction and the auxiliary inference of the cause-of-death chain can be intelligently and automatically completed, and the accuracy and efficiency of the cause-of-death monitoring work are improved.

Systems and methods are provided for lineage-based analysis of network issues. For example, the system can identify groups or clusters of devices that share common features or are experiencing common connection issues. Using the clusters, the system may create a timeline or “lineage” of the events that these clusters are experiencing. The system can generate an assessment of the clusters in incremental analysis over a time series of data (e.g., 5-minute datasets) that show events experienced by the devices in each cluster. The analysis over time may help determine whether the clusters / issues belong to an ongoing / persistent issue or a new issue that needs to be addressed. The system may initiate an action for the new lineage and restrict actions for the persistent lineages.

This invention relates to the field of robotic process automation (RPA) technology. It discloses a method for probing variable scope and timeline availability in a non-compiled state. To address the high performance overhead and poor real-time performance of existing compilation-dependent variable debugging methods, this invention parses the code structure to generate node paths containing sequence and scope hierarchy information for each execution point. It also constructs first and second mapping tables to record variable creation / modification points and reference points, respectively. Through algorithms such as node path merging, diffusion, and matching, it achieves variable scope determination, reference availability verification, and differentiation of variable creation or overriding types without compilation. Furthermore, a low-complexity cross-validation algorithm ensures the legality of global variables. This invention significantly reduces the performance overhead of variable verification, improves the real-time performance and efficiency of debugging, and provides a lightweight, high-precision variable probing solution for the development of RPA and other automation programs.

The application discloses a kind of virtual-real fusion three-dimensional engine time axis control method, equipment and medium, the method includes: based on virtual-real fusion scene constructs multidimensional data mapping time axis model, establishes time axis basic framework, forms initial time axis model;Based on initial time axis model, the spatiotemporal alignment processing of real-time heterogeneous data stream and historical data is executed bidirectionally synchronized, and multi-source data is filled to time axis, and complete time axis dataset is constructed;Based on complete time axis dataset, event prediction and analog deduction based on timing deep learning are executed, and future time domain is extended to time axis, and form visual simulation timeline;Based on visual simulation timeline, realize visual interaction and dynamic scene real-time rendering based on event semantics, complete time axis data human-computer interaction output, and feedback interaction instruction to time axis basic framework.The application realizes the full cycle, high accuracy, event level time dimension control to complex virtual-real fusion scene.

The present application belongs to the technical field of pain assessment, and particularly relates to a multi-modal real-time intelligent pain assessment auxiliary system based on deep learning. The system comprises a multi-modal data acquisition device and a two-section consistency reasoning device. The multi-modal data acquisition device synchronously acquires facial video and near-field voice under a unified time reference, cuts the time axis to form a unified time slice sequence, and outputs the aligned unified time slice sequence and anchor point set. The two-section consistency reasoning device, under the constraint of the aligned unified time slice sequence and anchor point set, first performs short window scoring on each time slice to obtain a pain score and uncertainty, confirms the candidate segment on the score timeline, and outputs the real-time pain score, confidence, and start and end time of the confirmed pain segment. The present application improves the assessment stability and reliability while ensuring real-time response, effectively eliminates non-pain interference, and accurately confirms the pain segment by combining the double threshold rule and anchor point neighborhood consistency verification.

The present application relates to the technical field of database management, and particularly relates to a database recoverable time interval acquisition method, medium and equipment, which determines start and end sequence numbers through a current log sequence number and a timeline identifier, avoids calculation deviation of a recoverable interval caused by scanning range error, performs continuity analysis through a file naming sequence and a sequence number, automatically identifies log integrity before recovery, avoids recovery failure caused by log loss, analyzes a timeline history file, checks legality based on a branch point and an associated sequence number, automatically identifies a legal log segment in a timeline branch scene, avoids recovery failure caused by using an incorrect timeline log, calculates a recoverable interval through fusion of continuity state, time mapping, legality result and an archive delay threshold value, can generate an explicit effective time range before recovery, avoids recovery failure caused by blind operation, and dynamically adjusts a termination time to ensure matching with a master node log synchronization state.

This invention provides a method and system for detecting latent faults in broadband networks, addressing the problem that existing technologies cannot assess connection stability. The method includes the following steps: acquiring a user's historical internet session logs, including the online and offline times of each session; constructing a session timeline based on the online and offline times and calculating the time intervals between adjacent sessions; generating feature data characterizing the user's connection stability based on the statistical distribution of the time intervals; and identifying users with abnormal connection stability based on the feature data. The system includes a data acquisition module, a time-series reconstruction module, a feature extraction module, and an anomaly filtering module, used to identify users with abnormal connection stability based on the feature data. This method fills a technical gap in connection stability assessment and can evaluate the connection stability of broadband networks.

1. Name of the designed product: photo album (time line). 2. Use of the designed product: the designed product is used for photo album for collecting photos. 3. Design points of the designed product: the combination of shape and pattern. 4. Picture or photo best indicating the design points: front view.

The application discloses a kind of marine monitoring equipment intelligent maintenance scheduling method, system, equipment and medium, belong to marine monitoring equipment operation and maintenance management technical field, comprising: S1, obtain environmental dynamic time series data and multidimensional operation and maintenance situation data;S2, environmental dynamic time series data and multidimensional operation and maintenance situation data are reconstructed to feature, and comprehensive data cube is obtained;S3, multidimensional weighted calculation is carried out to environmental parameter matrix, and the sea suitability score is obtained;S4, continuous future time point is aggregated and graded screening, and window period list is obtained;S5, space-time constraint matching is carried out to equipment state matrix, and feasible time window set is obtained;S6, by multi-objective path planning model with time window constraint, the minimum navigation mileage, fuel consumption and operation waiting time are solved, and operation instruction table is generated.The application carries out three-line coordination of time line, motion line planning line and economic line feedback, to have safe, efficient, controllable and have self-evolution ability.

The application provides a kind of experimental procedure time axis arrangement method and system, it is related to experimental procedure management and visual technology field.The method comprises: obtaining the experimental procedure template comprising the start node that cannot be deleted and the sleep step node of user customization, each sleep step node is associated with time interval parameter;Absolute starting date specified by user for experiment instance is received;The time interval parameter of sleep step node is parsed, the experimental procedure template is mapped to calendar time axis, and the date with experimental operation is calculated;It is visualized in the form of time line chart, and different visual style color band rendering is used for the date with / without operation;Label button named with experiment title is generated for each operation date below time line chart, and is connected to corresponding color band by dotted line;Intelligent layout arrangement is carried out according to button name length to avoid overlapping;In response to button click, jump to the experiment execution interface of corresponding date.The application is applied to the field of biochemistry experiment management, can realize the automatic arrangement and intuitive visualization of experimental procedure, greatly improves the efficiency and interactive experience of experiment planning and execution.

This application relates to the field of computer technology and provides a narrative video montage method based on ABRoll, comprising: performing temporal deep semantic analysis on the main video to generate a semantic timeline; dynamically identifying key time points based on the semantic timeline, wherein the key time points are the time points when B-Roll materials are inserted into the main video; for each key time point, matching B-Roll materials from the B-Roll material library in combination with contextual semantics; and inserting the B-Roll materials into the corresponding key time points according to a preset video style template to generate a montage video. This application eliminates the need for creators to manually perform editing tasks such as content analysis, material search, timing, and effect adjustment, thereby improving overall work efficiency.

A non-return-to-zero (NRZ) wired receiver based on adjacent symbol differential decision includes: a feedforward enhanced continuous-time linear equalizer, four parallel time-interleaved sample-and-hold circuits, an adjacent symbol differential decision comparator with embedded positive feedback, and deserialization circuits connected to the four adjacent symbol differential decision comparators respectively. This invention employs a feedforward enhanced continuous-time linear equalizer and an adjacent symbol differential decision comparator with embedded positive feedback. The adjacent symbol differential decision technology avoids the need for high-amplitude equalization of the input signal, significantly reducing system power consumption while suppressing common-mode noise. By introducing feedforward technology into the continuous-time linear equalizer, its equalization strength is improved without significantly increasing power consumption. By introducing positive feedback technology into the comparator, the comparator delay is reduced, enabling NRZ reception at a data transmission rate of 64Gb / s, effectively equalizing 12dB of channel attenuation, while the total power consumption is only 70.4mW.

The application discloses a kind of active intelligent dialogue pushing method and system based on user state perception, belong to computer technology field;The method comprises: obtaining trigger event;According to trigger event and historical interaction data, extract the multi-dimensional state information of user, obtain structured snapshot;According to several structured snapshots, generate action sequence;According to action sequence, search, obtain candidate content;High-score content is screened from candidate content and pushed.The application is based on the user behavior analysis and active dialogue decision mechanism of time sequence state snapshot, by continuously generating the user state snapshot containing multi-dimensional information (demand, emotion, trend), form state timeline, and intelligently identify active dialogue opportunity based on the change mode of state sequence, plan information acquisition action sequence, generate high-quality personalized dialogue content.

This invention provides an optical module, a link optimization method, and a system. The method includes: a microcontroller sending gain values ​​to a continuous-time linear equalizer (LPO) for equalization of an input voltage signal; a time processing module sampling the voltage signal output by the LPO to obtain sampled data; and the microcontroller determining the gain configuration of the LPO based on the sampled data at different gain values. Compared to existing technologies, this invention enables the module to achieve similar power consumption and latency as traditional LPOs while gaining adaptive capabilities previously only available in DSP solutions. It expands the applicable scenarios and deployment flexibility of LPO technology; simultaneously, it keeps link performance consistently near its optimal point, fundamentally avoiding the risk of continuous performance degradation leading to bit errors, and achieving intelligent maintenance of the link state.

This invention provides a railway automatic adjustment device and method based on real-time resource occupancy, comprising: a line operation data processing and analysis module to acquire historical train operation data and on-site basic line data, and to compare and analyze the historical operation data with the on-site basic line data to obtain data analysis results; a line real-time registration module to obtain real-time line routing plan data based on the data analysis results; an operation plan adjustment module to select and issue adjustment commands based on the real-time line routing plan data, and to calculate and analyze the issued adjustment commands to obtain real-time line operation plan adjustment results; and a train protection module to receive the adjustment results and protect the actual train intervals to obtain actual timetable data. This invention can solve the problems of low efficiency, poor real-time performance, and incomplete consideration during train operation adjustments, and improve the real-time performance and comprehensiveness of railway real-time adjustments.

This invention provides a method, apparatus, medium, and terminal equipment for locating medium-voltage grounding faults, relating to the field of power grid fault location technology. The location method includes: obtaining a time-series traveling wave interference signal based on historical raw voltage signals and forming a sample dataset; constructing an interference signal prediction model based on the sample dataset using an evolutionary algorithm; determining the real-time line-mode voltage traveling wave signal and using the interference signal prediction model to determine the traveling wave interference prediction signal; determining the real-time clean traveling wave signal based on the difference between the real-time line-mode voltage traveling wave signal and the traveling wave interference prediction signal; determining whether a medium-voltage grounding fault has occurred; and, if a medium-voltage grounding fault has occurred, determining the location of the medium-voltage grounding fault using the real-time clean traveling wave signal. The method provided by this invention can accurately reconstruct the fault traveling wave and perform fault detection and location accordingly, improving the anti-interference capability of medium-voltage grounding fault detection and location, and increasing the accuracy of detection and location.

Determining a time-state metric includes receiving a stream of raw data values of an attribute. Each received raw data value of the attribute is associated with a timestamp. It further includes converting the received stream of raw data values into a timeline representation of the attribute over time. The timeline representation comprises a sequence of spans. A span comprises a span start time, a span end time, and a span value. The span value comprises an encoding of one or more values of the attribute over a time interval determined by the span start time and the span end time. It further includes determining a time-state metric according to a timeline request configuration. The timeline request configuration comprises one or more timeline operations. The time-state metric is computed at least in part by performing a timeline operation on the timeline representation of the attribute.