110 results about "Time frame" patented technology

The invention discloses a time synchronization and distance measurement method for a time packet network unmanned aerial vehicle measurement and control system, and the method comprises the following steps: completing the distance measurement between a ground control station and each unmanned aerial vehicle in a first time frame, and obtaining a distance value D1; step 2, in a second time frame, completing time synchronization between the ground control station and each unmanned aerial vehicle according to the distance value D1; 3, in a third time frame, the airborne equipment of the main unmanned aerial vehicle sends the local sending moment t7 of the synchronized standard moment in a framing manner; and recording an inter-UAV distance measurement frame receiving moment t8 from airborne equipment of the unmanned aerial vehicles, and calculating a transmission delay according to t8 and t7 so as to obtain a distance value between the unmanned aerial vehicles. According to the method, the technical complexity of the ranging function can be greatly reduced, time slot division occupied by the ranging function is reduced compared with a non-coherent ranging method for a time-division networking system, and the networking efficiency of the time-division system is improved.

The invention relates to the technical field of tumble abnormal behavior recognition, in particular to a method and system for analyzing and recognizing tumble behaviors of patients in a hospital. According to the method, for any video, the lower side instability of each moment frame is obtained according to position distribution of ankle coordinates in different moment frames; obtaining the upper side instability of each moment frame according to the change difference of the shoulder coordinate relative to the hip center coordinate between different adjacent moment frames; obtaining a main unbalance side of each video according to the change characteristics of the upper side instability relative to the lower side instability of different video frames; obtaining the body unbalance degree of each video at each moment frame according to the main unbalance side distribution of different videos and the instability distribution of the corresponding upper and lower sides of different moment frames; obtaining an abnormal significance score of each video at each moment frame; and identifying the abnormal falling behavior. According to the invention, the abnormal significance score of each frame in the video is accurately obtained, so that the accuracy of abnormal falling behavior recognition is improved.

The invention provides a multi-stream depth reasoning throwing object drop point prediction method and device, equipment and a medium, and the method comprises the steps: reading a configuration file, recognizing the type of an input source, and constructing a hardware acceleration pipeline based on a GStreamer framework; video frames are sent to a GPU video memory, reasoning is performed after preprocessing, and a detection frame, confidence and category information are output; maintaining a sliding window queue for each potential target, performing trajectory association by calculating Euclidean distance and center point offset, and filtering static background noise; monitoring the displacement change of the track in the vertical direction, and triggering drop point judgment when detecting that the vertical displacement is changed from positive to negative and a target is not detected in continuous K frames; calculating the physical distance of a drop point through longitudinal interpolation and transverse projection based on the coordinates of the four points of the calibrated trapezoid; summarizing the plurality of camera candidate drop points, and fusing to obtain a unique drop point result; parallel multi-channel videos are realized; and a real-time frame rate can still be stably achieved under a common industrial camera, and the hardware and deployment cost is reduced.

A device configured to: receive a direction value for an audio object with respect to a time frame; compare a bit assignment with a bit assignment threshold as a first comparison; quantize the direction value for an audio object with respect to a time frame using a quantizer according to the bit assignment in response to the first comparison, or compare the direction value for an audio object with respect to a previous time frame as a second comparison; quantize the direction value for a time frame using a quantizer according to the bit assignment in response to the second comparison, and signal the second comparison.

This disclosure provides a method, apparatus, electronic device, and storage medium for synchronizing video inference results, relating to the field of video processing technology. The method includes: acquiring the inference result of each frame in a video stream task, associating each frame's inference result with its corresponding frame number, and storing it in a database; upon receiving a frame acquisition instruction from a service scheduling terminal, extracting new inference results whose frame numbers follow those recorded in the real-time frame pointer from the database, starting from the frame number recorded in the real-time frame pointer; wherein the real-time frame pointer is used to record the frame number corresponding to the last frame's inference result sent to the service scheduling terminal; and sending the new inference results to the service scheduling terminal so that the service scheduling terminal parses the target frame number corresponding to the last frame's inference result in the new inference results and updates the frame number recorded in the real-time frame pointer to the target frame number. This disclosure avoids redundant data transmission and scheduling through incremental data synchronization.

A motherboard testing and monitoring method, system, medium, and product based on ARM devices are disclosed, relating to the testing field of structural components or devices not included in other categories. The method includes: responding to a test start command by closing the power-on pin of the device under test (DUT) to trigger its power-on; acquiring voltage data from the power indicator pin of the DUT to determine its power-on startup state; capturing real-time frame images of the display screen after the DUT enters and maintains the preset power-on startup state for a preset duration; performing feature matching calculations on the real-time frame images to determine the display content on the screen and generating a system fault record; generating a normal power-on record and triggering the DUT to power off when the operating system loading characteristics are met; and generating a single test completion record and triggering the next round of testing after the voltage data drops to the shutdown state. Implementing this application can improve the accuracy of fault type attribution for the entire power-on / off process of a computer motherboard.

The invention belongs to the technical field of explosive detection, and particularly relates to a shallow-buried explosive detection method and system based on multi-modal fusion, and the system comprises a magnetic signal obtaining unit, a sound signal obtaining unit, a processing unit and an output unit. And multi-modal signal synchronous acquisition, feature extraction and fusion discrimination are realized under a unified time frame, so that the recognition stability of shallow-buried explosives under complex environmental conditions is improved.

Embodiments of a radio frequency (RF) controller for a 5G modem, a 5G modem, and a method for operating an RF controller of a 5G modem are disclosed. In an embodiment, an RF controller for a 5G modem includes a timing generator configured to generate a symbol clock signal, a memory unit containing execution boxes (Eboxes) of micro-operations and an index of the Eboxes to be executed in response to detecting a symbol idle period of the symbol clock signal, and an Ebox execution engine configured to execute micro-operations in one of the Eboxes based on the index of the Eboxes to perform an RF maintenance or calibration operation during the symbol idle period.

The present disclosure relates to reducing or preventing ad fatigue in a user by determining the preference of a user to an ad, in particular user preference for parameters such as video track, audio track, dialogue or tone. The disclosure also relates to the provision of a timer that prevents an ad being shown repeatedly within a predetermined time frame.

An efficient load plan generation method for one or more diagnostic analyzers. The method involves: collecting job ordering data for ordering jobs of a sample of a customer within a selected time frame by one or more diagnostic analyzers; separating the work sorting data into a primary test and a secondary test; and applying a sequence mining to the separated work ranking data to find the probability that the secondary test (s) are ranked if the primary test (s) have been ranked. One or more secondary tests may be selected based on the probability, and a load plan for the one or more analyzers may be generated by the workload planner based on the selected secondary test (s). Load plans, test menus, and inventory may include currently ranked tests and the ranked secondary test (s) expected based on the probability that the selected secondary test (s) will be ranked in the future. Numerous other embodiments are provided.

The innovative method allows to determine root cause of an anomaly in a turbomachine and comprises the steps of: a) receiving measurement data from a set of feature sensors installed on the turbo machine relating to a time frame, b) receiving an identifier of a target feature sensor, the anomaly appearing in its measurement data, c) receiving start time and end time of a non-anomalous time subframe, d) receiving start time and end time of an anomalous time subframe, e) receiving identifiers of a plurality of feature sensors associated to features of the turbo machine that could be root causes of the anomaly, and f) deriving at least one feature of the turbo machine to be considered a root cause of the anomaly based on “contrastive analysis” of “feature importance” values of the feature sensors during the non-anomalous and the anomalous time subframes.

A method and a device for monitoring a field of view of a stationary sensor. The method includes: a first step for receiving recordings of surroundings of the sensor, which are generated at different times within a predefined measuring time frame with the aid of the sensor; a second step for ascertaining, based on the recordings, measuring points, which each represent positions and / or dimensions of objects in the surroundings of the sensor; a third step for grouping the ascertained measuring points based on a predefined similarity metric, where each group of measuring points is represented by a prototype; and a fourth step for ascertaining a change of content within the field of view of the sensor based on a comparison of the prototypes with a reference data set, which includes reference prototypes, whose underlying measuring points are ascertained in a reference state of the sensor and of the surroundings.

The present application relates to the technical field of mechanical vibration, and discloses a kind of energy storage hydropower station unit vibration fault online diagnosis method and system, the method includes: acquisition unit under multiple operating conditions Original vibration data set;Eliminate the time-space deviation of different source signals by adjusting time frame and space reference system, obtain standardized vibration data matrix;Anti-interference fusion is carried out to standardized vibration data matrix, and dimension uniform operation is carried out to the data after anti-interference fusion, obtain multi-source anti-noise data cube;Multi-dimensional vibration fault feature coupling analysis is carried out to multi-source anti-noise data cube, obtain vibration fault feature topology set;Vibration fault feature topology set is matched with historical fault case base Feature mapping, obtain fault diagnosis result sequence;Based on real-time feedback data, fault diagnosis result sequence is dynamically corrected, and final fault diagnosis report is obtained;The present application can improve the accuracy of unit vibration fault online diagnosis.

The disclosure provides a method (500) and a system (108) for paging a target UE (UE-1) in a network (106). The method (500) includes identifying the member UEs associated with the target UE (UE-1). The method (500) further includes utilizing AI / ML algorithms to determine a bond strength score between the member UEs and the target UE (UE-1). When the AMF (402) needs to page the target UE (UE-1), it first attempts to do so using the last known cell location. If this paging fails, the AMF (402) fetches a list of member UEs from the NWDAF or NEF (406) based on relevant time frame. The AMF (402) then pages the target UE (UE-1) in the cell locations of these member UEs, prioritizing based on the bond strength score and the likelihood of co-location with the target UE (UE-1).

Techniques for dynamically and automatically equalizing audio content are provided. These techniques include receiving, in portions or as a whole, an instruction file that contains a plurality of instruction lines. Each one of the instruction lines correlates an equalizer setting instruction with a time frame of media content. The techniques further include automatically adjusting, as the media content is played, an equalizer setting of the equalizer according to the equalizer setting instruction that corresponds to the time frame of the media content being played at that time. Audio content is equalized in accordance with the equalizer setting, which is automatically adjusted as the media content is played according to the instruction file.

An example operation includes one or more of obtaining a destination of a vehicle, determining an amount of traffic in an area proximate a route to the destination within a time frame, determining a best time to leave in the time frame and a worst time to leave in the time frame, where the best time to leave provides a minimum traffic in the area and the worst time to leave provides a maximum traffic in the area, and determining one or more of a degradation of a battery of the vehicle and an energy usage of the vehicle for one or more of the best time to leave and the worst time to leave.

The application discloses a time slot allocation method and device, equipment and medium, and relates to the field of time slot allocation. The method comprises the following steps: an unmanned system generates a backbone network based on network topology information of a plurality of communication nodes in a previous time frame through a center node, so as to dynamically determine backbone nodes of a current time frame by using the backbone network; the center node dynamically predicts time slot segments allocated to the center node and the backbone nodes in the current time frame based on traffic demands of the plurality of communication nodes in the previous time frame; and each node in the center node and the backbone nodes dynamically predicts time slots allocated to each node and management sub-nodes of each node in a time slot segment corresponding to each node based on traffic demands of each node and the management sub-nodes of each node in the previous time frame, so as to meet the networking communication demand of the unmanned system with high reliability and low delay, better adapt to the non-stationary environment with strong business burstiness and frequent topology changes of the unmanned system, and realize efficient and reliable time slot allocation for large-scale unmanned system networking.

The invention discloses a point cloud data efficient three-dimensional target detection method for an intelligent construction scene, and belongs to the field of engineering management, and the detection method comprises the following specific steps: I, periodically collecting and preprocessing construction site point cloud data, building a continuous time frame sequence, and constructing a construction twinborn model corresponding to a construction site; iI, aligning the semantic topology of the point cloud data and the construction twinborn model, identifying the abnormal area of the construction site, and then analyzing the evolution trajectory of each object on the construction site in real time; according to the method, the occurrence probability of false detection and unreasonable engineering semantics results is remarkably reduced, the detection stability of slowly moving or periodically changing targets is effectively enhanced, the problems of jumping and missing detection which are easily generated by single-frame detection are avoided, the recognition accuracy of shielded components in a complex construction environment is improved, and the construction quality is improved. And the overall detection efficiency is improved while the precision is ensured.

This invention provides a computer implementation method for identifying the transition point of a waveform signal containing noise. [Solution] The method includes the steps of: obtaining a displacement sequence including the displacement in each time frame of the waveform signal; determining the optimized state sequence based on the displacement sequence, which is the total state sequence that maximizes the penaltyed total path; and determining the location of the transition points in the waveform signal based on the optimized state sequence. A transition penalty is introduced to the penaltyed total path to suppress the misidentification of noise-derived local extrema as transition points. A computer implementation method can be performed using a dynamic programming (DP) algorithm.

Systems and methods are described for unified processing of indexed and streaming data. A system enables users to query indexed data or specify processing pipelines to be applied to streaming data. In some instances, a user may specify a query intended to be run against indexed data, but may specify criteria that includes not-yet-indexed data (e.g., a future time frame). The system may convert the query into a data processing pipeline applied to not-yet-indexed data, thus increasing the efficiency of the system. Similarly, in some instances, a user may specify a data processing pipeline to be applied to a data stream, but specify criteria including data items outside the data stream. For example, a user may wish to apply the pipeline retroactively, to data items that have already exited the data stream. The system can convert the pipeline into a query against indexed data to satisfy the users processing requirements.

This invention specifically relates to a distributed time slot allocation method suitable for parallel transmission and reception of three-sided arrays, belonging to the field of wireless communication technology. The method includes: a resource negotiation initiating node sending a negotiation initiation packet to neighboring nodes during a resource negotiation time slot, including the number of time slots required for transmitting data packets in the next time frame and a time slot working status table; a resource negotiation responding node, upon receiving the negotiation initiation packet, generating a receive data transmission time slot table and sending it to the resource negotiation initiating node via a negotiation response packet; at the end of the last resource negotiation time slot of each time frame, each node generates a three-sided array parallel transmission and reception time slot table for the next time frame based on the number of time slots required for transmitting data packets in the next time frame, the received and transmitted receive data transmission time slot tables, and so on. This method is simple and easy to implement, enables parallel transmission and reception of three-sided arrays, and avoids mutual interference between corresponding links of adjacent arrays.

The present invention relates to a method and apparatus for transmitting messages. A method for transmitting a message onto a time sensitive network, wherein the method comprises: receiving a message on a plurality of different channels; determining a frame time required to transmit a first received message from a first channel onto the network. If the frame time is greater than a predetermined maximum time period, maxInterferenceTime, permitted to transmit a single message within the network, then determining a minimum time, waitTime, until a second message on a second channel can become available for transmission. If the waitTime is greater than or equal to the difference between the frame time and the maxInterferenceTime, then transmitting the first message.

The invention discloses a method for extracting entities and relationships from technical documents, which is carried out in a highly automated manner and realizes a more complete and more accurate result in a shortened time range. Several deep learning models are trained using a corpus of fields of interest tagged by experts and linguistists. A graph vector model is also trained. Manual annotation and revision are the lowest necessary conditions for obtaining an automated model that can automatically extract entities and relationships from a corpus. Once trained, these models can be used for any corpus within the same field of knowledge.

To provide a technique capable of emphasizing a sound signal with high estimation accuracy even if there is a state where the number of allocated time frames is small.SOLUTION: A sound signal enhancement device for acquiring a signal in which a target sound is enhanced from an observation signal in which the target sound and noise are mixed includes a separation matrix application unit 3 for applying a plurality of separation matrices to the observation signal to acquire a plurality of estimation signals, and a switch unit 4 for acquiring the signal in which the target sound is enhanced by using any of the plurality of estimation signals. The state regularization weight is further used when the plurality of separation matrices are updated using the observation signals, and the state regularization weight is used to update the switch weight used by the switch.SELECTED DRAWING: Figure 1

The invention provides a fault-recoverable mobile edge computing-oriented robust dependent task scheduling method, which comprises the following steps of: acquiring mobile edge computing system parameters which comprise a dependent task set, an edge network, the number of available CPU (Central Processing Unit) kernels of a server, kernel processing capability and link bandwidth; calling an adaptive resource allocation algorithm based on the system parameters to dynamically determine the scheduling sequence of the sub-tasks, and allocating system resources required for execution to the sub-tasks to obtain a resource allocation matrix; executing the subtasks according to the resource allocation matrix; when a server fault occurs, calling a server fault rescheduling algorithm to update the resource allocation matrix; when a communication link fault occurs, calling a link fault rescheduling algorithm to update the resource allocation matrix; executing the subtasks according to the updated resource allocation matrix until all the outlet subtasks are executed; obtaining execution completion time frames of all the dependent tasks; according to the invention, the robustness and effectiveness of the mobile edge computing system can be improved.

To deliver goods appropriately using delivery vehicles within the designated time frame. [Solution] An information processing device is provided, comprising: an acquisition unit that acquires information indicating the scheduled delivery time and designated delivery time for each package of a first delivery vehicle; and a control unit that, if the estimated delivery time of the first package loaded on the first delivery vehicle, calculated based on the information acquired by the acquisition unit, is later than a certain amount of time than the designated delivery time for the first package, causes the first package to be transferred from the first delivery vehicle to the second delivery vehicle by an unmanned transport machine.

This invention relates to the field of wireless ad hoc network technology, specifically disclosing a multi-hop TDMA time slot allocation method suitable for UAV ad hoc networks. The method includes: dividing each TDMA time frame into reservation subframes and data subframes according to time sequence; each reservation subframe contains K reservation periods, and each data subframe contains N data time slots; defining control short frames, service long frames, and a time slot occupancy table; fixing the allocation of a reservation period based on the node's ID and priority; each node that has completed network access sending a reservation request frame and a reservation notification frame to the data time slots within its allocated reservation period according to current service needs and time slot occupancy; each node that has completed network access maintaining its local time slot occupancy table based on the reservation notification frame; and after the reservation subframe of a TDMA time frame ends, each node communicates by sending service long frames to the reserved data time slots. This method achieves on-demand allocation of TDMA channels while prioritizing the channel needs of high-priority nodes and ensuring data timeliness.

An apparatus comprising an interface and a processor. The interface may be configured to receive a stream of data from a radar. The processor may be configured to receive the stream, process a first data cube from the data during a first frame, process a second data cube from the data during a second frame, perform continuous interleaving of the second data cube with the first data cube as the data is received, generate first output data in response to the first data cube and generate second output data in response to the continuous interleaving. The first time frame may overlap with the second time frame after the second time frame starts to enable the continuous interleaving. Performing the continuous interleaving may enable a limited variation between the data cubes. The limited variation may enable the second output data to be derived from the first output data.

Disclosed are systems and methods for accelerated reconstruction of dynamic, undersampled MRI data using a temporally-aware neural network system. An exemplary method includes receiving, for each of a plurality of time frames, undersampled k-space data; for one of the plurality of time frames, generating a reconstructed image by processing the undersampled k-space data for the time frame together with prior information derived from at least one previous time frame of the plurality of time frames, wherein the prior information comprises at least one of: (i) a k-space memory representing previously estimated or acquired k-space data, or (ii) an image-domain memory representing previously reconstructed images.

The invention discloses a robot tactile sensing method and device, relates to the technical field of robot sensing, and realizes space-time decoupling of robot tactile data and full utilization of time characteristics and space characteristics, thereby improving the accuracy of robot tactile sensing. The method comprises the following steps: preprocessing original tactile data of a robot to obtain tactile data; performing feature extraction and fusion on the single-frame tactile data based on the plurality of convolution branches to obtain multi-scale fused tactile feature data; performing block flattening and position embedding on the tactile feature data to obtain a block sequence after position embedding, and inputting the block sequence into a Transform encoder layer to extract tactile spatial features; sorting the tactile spatial features according to a time frame sequence, outputting time sequence spatial features, and extracting tactile time features based on Mama; and performing feature gating fusion based on the tactile spatial features and the tactile time features, and determining a target tactile perception result according to the fused features.