179 results about "Time codes" patented technology

The invention discloses a tracking processing method for a baseband signal of a receiver, which comprises the following steps of: firstly, performing frequency correction through a frequency-locked loop, and performing phase correction through a phase-locked loop to realize accurate synchronization of carrier frequency and phase; then bit synchronization processing and incoherent integration are carried out, and the output signal-to-noise ratio of the loop and the measurement precision of the code phase are improved; and finally, the local pseudo-random code generator generates a local pseudo-random code, then the local pseudo-random code generator outputs three paths of pseudo-random codes which are mutually delayed by half a chip, namely a lead code, a real-time code and a lagging code, correlation values of the three paths of pseudo-random codes are obtained, a code phase error is obtained by calculating the correlation value difference of the lead code and the lagging code, and the local pseudo-random code is obtained. And after the code phase error is processed by a loop filter, an adjustment amount of a digital control oscillator is generated, so that the phase of the local pseudo-random code is adjusted. According to the invention, continuous adjustment of the digital control oscillator of the local carrier and the pseudo-random code is realized, so that correct navigation data information is demodulated for positioning calculation.

The invention discloses a visibility regression prediction method based on multi-modal transfer learning and time coding, and relates to the technical field of artificial intelligence. The method comprises the following steps: S1, dividing a data set in different periods according to illumination characteristics, and splitting each period into a training set, a verification set and a test set; s2, preprocessing the data set; s3, constructing an initial model containing a pre-training deep learning network, a time coding module and a multi-layer perceptron regression head; s4, extracting image visual features and time feature vectors; s5, fusing the features and inputting the features into a regression head for prediction; s6, carrying out scheduling training by using layered parameter freezing, an AdamW optimizer and a dual learning rate, and combining with a mixed early stop strategy until convergence; and S7, evaluating the test set to determine a final model. According to the method, complementarity of image and time information is mined, high-precision prediction is realized, generalization is good under different illumination conditions, a layering strategy and an optimization mechanism guarantee stable and efficient training, a multilayer perceptron combination technology enhances expression, and overfitting is effectively prevented.

The invention relates to the technical field of product data management, in particular to a food package printing material batch traceable management method and system, and the method comprises the following steps: collecting the production time of each production batch, constructing time data which comprises year, month, day, hour, minute and second, and creating a time code based on the time data; the time code is combined with the data of the production batch. According to the method, the time data of each production batch, which is accurate to second, is collected, the unique time code is constructed, and the time code and the batch production data are closely combined, so that a traceable time stamp data packet is formed, accurate correspondence between production information and time is ensured, and more efficient information integration and storage management are realized. In the storage process, classification and indexing are carried out in combination with batch time marking data packets, a data retrieval mechanism capable of rapidly responding is established, the information positioning speed and accuracy are improved, and the efficiency and reliability of batch query and tracking are improved.

The invention provides a weather forecasting method and device based on time coding autoregression and electronic equipment, which are applied to the field of weather forecasting, and the method comprises the steps: carrying out weather forecasting based on a deep learning self-attention model of the current day number, taking meteorological element data as input, and taking time information corresponding to a plurality of times as constraint conditions, obtaining weather forecast results corresponding to a plurality of times in the current day number; for the weather forecast of the target number of days, iteratively executing the following steps until a weather forecast result of each target time of each number of days in the target number of days is obtained; taking the weather forecast results corresponding to a plurality of times in the current day number as input, and taking the time information corresponding to the plurality of times as constraint conditions to carry out weather forecast to obtain weather forecast results corresponding to the plurality of times in the next day number; according to the invention, the accuracy can be kept in the continuous weather forecast process, and error accumulation is reduced.

The invention discloses a log anomaly detection method and device, equipment, a storage medium and a program product, and the method comprises the steps: extracting log semantic information, timestamp information and log key information from structured log data, and determining a log time interval based on the timestamp information, generating time coding data according to the log semantic information and the log time interval; performing feature enhancement on the time coding data to obtain time feature information; generating log key coding data based on the log key information; performing feature enhancement on the log key coding data to obtain log key feature information; performing feature fusion on the time feature information and the log key feature information to obtain fusion feature information, performing log anomaly detection based on the fusion feature information subjected to feature weight adjustment processing, and performing analysis in combination with the time feature and the structural feature of the log, thereby effectively capturing global information and local information of the log. And the log anomaly detection efficiency and accuracy are greatly improved.

The invention discloses a method for synchronizing distributed event cameras by using time coding, belongs to the field of image acquisition, and aims to realize time synchronization of a distributed event camera acquisition system through accurate time coding. The system is composed of a Beidou / GPS time service device, an event camera and an FPGA board, accurate time information is obtained through the Beidou / GPS time service device and serves as a time reference, and binary coding division is conducted on the time information; then the FPGA board is used for processing the coded time information to generate a nine-bit pulse sequence containing the time information, and the signals are triggered and input to an event camera according to a set sequence; the event cameras record the time stamp information during triggering, the pulse sequence in the time stamp information is analyzed and extracted, time stamp alignment of the event cameras is achieved, and therefore time synchronization among the multiple distributed event cameras is completed.

The invention relates to a high-bandwidth cluster control method and system based on a digital communication network, and the method comprises the following steps: carrying out the timestamp marking of real-time state data, and obtaining timestamp-marked state data; performing distributed state estimation on the timestamp marking state data to obtain cluster cooperation situation information; based on the cluster cooperation situation information, carrying out adaptive routing calculation on each device in the cluster to obtain a network resource scheduling strategy; performing channel multiplexing mapping on a preset digital communication network based on the network resource scheduling strategy through a preset space-time coding technology to obtain a channel multiplexing mapping matrix; and carrying out resource scheduling distribution and control on each device in the cluster based on the channel multiplexing mapping matrix to obtain a cluster control strategy, thereby solving the technical problem that the overall performance of the cluster is influenced because enough time precision cannot be provided when the large-scale data is processed in the prior art.

The invention provides a communication and perception joint optimization method based on a space-time coding metasurface. The method comprises the following steps: step 1, modulating and sending symbols by adopting a quadrature amplitude modulation scheme; 2, performing real-time regulation and control on the programmable metasurface; step 3, the integrated multi-antenna receiver separates received signals with different frequencies by using orthogonality between harmonic waves, wherein different harmonic waves respectively correspond to a communication signal and a target echo signal; step 4, constructing a joint optimization problem model of communication and perception performance indexes; and 5, designing an improved algorithm based on a non-dominated sorting genetic algorithm to jointly optimize the communication SNR and the sensing CRB so as to improve the communication performance by using sensing assistance. According to the invention, the communication information demodulated by the zero-order harmonic can be utilized to realize the sensing of the other-order harmonic, and the sensing information of the other-order harmonic can be utilized to enhance the communication performance.

The redundant streaming system based on synchronization of the multiple encoders and the time codes comprises the multiple encoders, a time code synchronization module, a redundant node cluster, a self-adaptive switching controller and a distributed storage module. The encoder forms and outputs a data frame containing a unique position code. The time code synchronization module generates a global timestamp based on a precision time protocol, and embeds the global timestamp into a data frame of the encoder to achieve spatio-temporal alignment of the data frame and a global clock. The redundant node cluster configures a dynamic bandwidth adjustment module from the nodes to adaptively match the phase-locked loop bandwidth according to the network delay. The adaptive switching controller monitors node states. The distributed storage module divides the data in a segmented mode based on the global timestamp, and redundant copies are generated for the data in the key time window. According to the redundant streaming system based on synchronization of the multiple encoders and the time codes, the problem that an encoder synchronization mechanism highly depends on physical signals can be solved.

The invention discloses a real-scene three-dimensional system geographic entity space-time coding method. According to the method, the dynamic sensing capability of the geographic entity state is remarkably improved through an evolution prediction mechanism. Traditional coding mostly focuses on current state records, but the method depends on a state transition probability model of time decay weighting, can accurately capture recent change trends of entities, generate evolution prediction codes and dynamically bind the evolution prediction codes with space codes and time codes, so that the coding can not only reflect current positions, time and attributes of the entities, but also can reflect current state records of the entities. And the state trend of 1-3 months in the future can be pre-expressed. According to the method, the subsequent stage of a construction road can be pre-judged in advance, an emergency department can quickly recognize potential risk entities, the problem that geographic information lags behind actual change is effectively solved, more prospective data support is provided for collaborative decision making of multiple departments, the suitability and long-term reliability of coding in multiple scenes are enhanced through full-process closed-loop design, and the method is suitable for popularization and application. And a stable basic support is provided for efficient application of live-action three-dimensional geographic information.

The invention discloses a video target tracking system and method combined with deep learning, and relates to the technical field of computer vision, and the method comprises the following steps: obtaining video frame sequence data of each monitoring device; performing segmentation processing on the time coding sequence of the video frame sequence data to obtain track fragments of corresponding monitoring equipment; and extracting a time coding subsequence of a track fragment pair formed by any two track fragments, and carrying out feature analysis on the time coding subsequence to obtain a multi-dimensional matching confidence score of each track fragment pair. According to the scheme, a shielding time window detection mechanism is introduced, shielding influences are actively recognized and quantified, the problem of time coding distortion caused by shielding in a multi-monitoring-device environment is solved, a similarity calculation result can be dynamically corrected, mismatching caused by local shielding is avoided, and the accuracy of time coding is improved by combining motion continuity constraint and a nonlinear fusion strategy. The track matching robustness in a complex shielding scene is effectively improved, and a high-confidence matching reference is provided for subsequent time axis unification.

The invention provides a space-time fusion coding method and a data relation generation method and system, and is applied to the technical field of physical world-oriented multi-source heterogeneous data organization management. Space information of a target data object is mapped to a geographic space subdivision grid coding system to generate a space code; the method comprises the following steps: standardizing time information according to preset time granularity (such as year, month, day and hour), mapping the time information to a layered time coding system to generate a time code, and fusing a space code, the time code and object identification information according to a preset rule to generate a unique space-time fusion code; and finally, the space-time fusion codes and attribute information are bound to form standardized data records, data objects of different sources and different formats are mapped to a unified space-time coding system, data islands are broken, and a data foundation is laid for constructing a unified space-time relation network.

The invention provides a product traceability method and system based on a space-time code, a terminal and a storage medium, and belongs to the technical field of product traceability, and the method comprises the steps: generating a commodity code of a raw material; for each subsequent product processing link, all the commodity codes of the previous upstream link are scanned and analyzed, production subject identification information associated with each commodity code is acquired, and the validity of the production subject identification information is verified; when the production subject identification information is valid, analyzing a space-time code from each commodity code of a previous upstream link as a parent space-time code of a product of a current link; generating a commodity code of the current link product in combination with the space-time code of the current link product and the product identification information; and obtaining a traceability result. According to the invention, the product is identified by using the corresponding space-time code and the product identifier in each production link, and when the commodity code of the final product is scanned, the traceability can be carried out without manual intervention, so that the product traceability efficiency is effectively improved.

The invention belongs to the technical field of metasurface signal processing, and particularly relates to a space-time modulation metasurface DOA estimation method based on unit non-uniform arrangement. Comprising the following steps: S1, establishing a space-time modulation metasurface array model with non-uniformly arranged units, designing a space-time coding matrix and carrying out space-time modulation on an incident signal by using the model, S2, obtaining a harmonic component of a received signal, and S3, carrying out DOA estimation by using the harmonic component of the received signal. Compared with a metasurface with uniformly arranged units, the number of the metasurface units is reduced through non-uniform arrangement of the units, the hardware cost is reduced, meanwhile, the problem that DOA estimation is fuzzy under the condition that the unit spacing is larger than half-wavelength is solved, the DOA estimation precision under the condition of low signal-to-noise ratio is improved, and higher reliability is achieved.

The invention discloses a live broadcast wonderful instant slow playing and playback method and device, electronic equipment and a product, and the method comprises the steps: receiving a live broadcast stream in real time, the live broadcast stream having a live broadcast linear time code; encoding the received live stream by using a first linear time code and caching the encoded live stream in a memory to generate a live cache pool, and encoding the received live stream by using a second linear time code and storing the encoded live stream to form a live recording file; in response to the wonderful instant slow playing or playback request, obtaining a playing mode and a target time code of a wonderful instant starting position; and according to a comparison result of the target time code and the first linear time code of the start frame of the live broadcast cache pool, selecting the live broadcast cache pool or the live broadcast recording file, and executing a corresponding playing operation according to the playing mode. According to the method and the device, dynamic seamless switching from live broadcast recording to the live broadcast cache pool can be realized, and video playing from the live broadcast cache pool is preferentially realized, so that the video playing fluency and interactivity are improved, the delay of real-time playback is reduced, and the watching experience is improved.

The invention discloses a real-time code review processing method and system and related equipment, relates to the technical field of code review, and aims at obtaining model context protocol link information in real time, enabling a machine learning model to better understand the intention and context relationship of codes and improving the efficiency of code review. Information such as model context protocol link information, code intention and context relation is input into a machine learning model to be analyzed, so that the specific data performance, the overall code structure and the specific function of the code in a network are dynamically understood; potential problems and optimization points are identified on the basis of understanding of specific data performance, overall code structure and specific functions of codes in a network, and dynamic analysis and model improvement can be performed according to factors such as specific functions and calling paths of the codes on the basis of a model context protocol, so that comprehensiveness and accuracy of code review are improved.

The application discloses a kind of unsupervised time series anomaly detection methods, the method includes obtaining historical time series data, according to the correlation of historical time series data and target screening characteristic variable, according to characteristic variable constructs instance anomaly detection task historical time series data;To instance anomaly detection task historical time series data relevant field adopts rolling statistical characteristic strategy, constructs instance anomaly detection task historical time series data model;Instance anomaly detection task historical time series data model is input into self-encoding framework after batch processing, after three times coding, three times decoding obtains reconstructed instance anomaly detection task historical time series data module;Instance anomaly detection task historical time series data module is compared and analyzed with reconstructed instance anomaly detection task historical time series data module, obtains loss time series dataset;Decision tree model is constructed, and each sample of loss time series dataset is scored, and final anomaly detection result is obtained according to score.The application can improve the ability and efficiency of time series data anomaly identification.

The invention discloses a monitoring video delay sweep generation method based on scene change self-adaptive frame extraction, and belongs to the technical field of video monitoring and streaming media processing. The method comprises the following steps: acquiring a sweep strategy containing a time period, a reference interval, a difference threshold value, a forced retention period, a window length and a quality threshold value; receiving a real-time code stream or reading a storage side key frame intermediate file; calculating an inter-frame difference degree by using a brightness channel of a multi-scale structure similarity algorithm, determining a frame extraction interval in combination with a static duration, and marking candidate frames; performing quality detection according to definition, brightness, contrast, stripes and noise, and rejecting unqualified products; when a forced period is reached, a bottom frame is reserved; and performing segmented coding according to a time window, and performing assembly output at the end of a time period. According to the method, online and offline processing links are unified, key information is reserved, and redundancy and time delay are reduced.

The embodiment of the invention discloses a power system information acquisition and control method and terminal equipment. The method comprises the following steps: collecting multi-modal data; the multi-modal data comprises system-level data and region-level data; extracting input features from the multi-modal data; performing space-time coding on the input features by using an artificial intelligence AI model to obtain time-dependent features and spatial features; processing the time-dependent features and the spatial features by using a double-layer attention mechanism to obtain at least two levels of weights; according to real-time power grid data in the multi-modal data, two-stage weights are dynamically adjusted, and transient event information is output; obtaining a first configuration instruction according to the adjusted two-stage weight and the transient event information; optimizing the first configuration instruction based on the region-level data to obtain a second configuration instruction; the second configuration instruction comprises an acquisition instruction and / or a resource scheduling instruction; the resource scheduling instruction is used for scheduling software and hardware resources of the terminal equipment.

The application provides an edge hot object cache admission method, relates to the field of information technology, and constructs a time sequence model, the time sequence model includes feature mapping, multi-object time coding, LSTM and attention network, the time sequence model is supervised training, and the time sequence model that has completed training is obtained, wherein the application realizes position coding of a request sequence through a multi-object time coding method, so that the algorithm can learn two-level sequence characteristics of an access sequence, and the learning ability of the model is significantly improved. The application sets a buffer, inserts a corresponding target request into a hot object cache, creates a shadow request object and inserts it into the hot object cache, then calculates the corresponding rewards respectively, and based on the state, admission decision and reward, the trained time sequence model is subjected to semi-online reinforcement learning, so that the model can maximize the cumulative reward for a long time, and the hit rate and other indicators of the hot object cache are significantly improved.

The application discloses a multi-view video synchronization and target association method based on space-time coding, comprising the following steps: step one, multi-view video acquisition; step two, space-time coding generation; step three, inter-frame synchronization based on space-time coding; step four, cross-view target detection; step five, construction of a space-time association cost matrix; step six, global target association; and step seven, output of an association track. The application uses space-time coding to replace absolute time stamps, effectively resists differences in frame rates of different cameras and time drift problems, and reduces the requirement of the system on hardware synchronization; the space coordinate information is integrated into the coding, so that the target association no longer simply depends on the appearance, and the association robustness in complex scenes such as light change and dramatic view change is greatly improved; through coding matching and global optimization, the video synchronization and target association tasks can be completed at the same time, and the calculation efficiency and system integration are improved.

The invention relates to an FC (Fiber Channel) monitoring equipment B code stamping system and an implementation method thereof, and the system comprises a time code generator interface, a time code receiving and converting unit, a time code stamping and storing unit and a PCIe (Peripheral Component Interconnect Express) interface unit which are connected in sequence, the time code receiving and converting unit comprises a time code receiving unit and a time code converting unit, the time code receiving unit receives differential IRIG-B time codes generated by the time code generator and transmits the differential IRIG-B time codes to the time code converting unit, the time code converting unit converts the differential IRIG-B time codes into single-end IRIG-B time codes, and the time code stamping and storing unit comprises a monitoring data stamping unit and a time code storing unit. The time code storage unit stores the single-end IRIG-B time code, outputs the single-end IRIG-B time code to the PCIe interface unit and uploads the single-end IRIG-B time code to an application layer through the PCIe interface unit, and the monitoring data stamping unit adds the IRIG-B time code to a local time mark position when monitoring FC frame data. According to the method, the data processing efficiency of the system maintenance module is improved, and the method can be applied to multi-node / multi-bus system equipment.

The invention discloses an internet resource long-term storage management and storage system, which comprises a space-time coding layer which is based on an FPGA (Field Programmable Gate Array) main control chip, comprises a parallelized tensor processing unit and is used for converting digital resources and metadata and context relationships thereof into a space-time coding body with a time self-description capability; the storage unit is used for receiving the space-time coding body from the space-time coding layer and permanently solidifying the space-time coding body in a tamper-resistant physical form; and the four-dimensional continuation control layer is used for dynamically managing the integrity, readability and authenticity of resources in the whole life cycle through an autonomous evolution algorithm and a distributed verification network. Through collaborative innovation of a space-time coding body (an information layer), a holographic cold memory (a physical layer) and a continuation control network (a management and control layer), the basic challenges of long-term storage of Internet resources in the aspects of authenticity, integrity, availability, safety, cost, technical dependence and the like are systematically handled.

The application relates to the technical field of satellite data processing, and provides a satellite data simulation generation method, system, medium and equipment, which comprises the following steps: parsing an XML configuration file used for defining satellite transmission frames, virtual channel data units, user frames / space packets and load fields to obtain a memory protocol object tree; recursively traversing the memory protocol object tree according to an output period to generate data frames of each layer, writing a configuration value into a fixed value field, increasing a count field by a step, converting a time field into a time code specified by a satellite protocol, continuously intercepting real load data according to a file offset modulo and a tail wrap mode for an external data field, recursively assembling a nested subframe after inheriting a parent frame context, and performing length alignment, check sum output. The protocol structure, dynamic fields and real load injection rules of satellite simulation data are configured, which is different from a scheme only facing communication coding and decoding or protocol packet assembly and analysis, and can generate continuous and high-fidelity satellite simulation data streams.

The present application is a software management method and system, which includes a decoder receiving a key and decoding the key by a de-obfuscation method to obtain a product code, a time code and a control code. A processor accesses product standard parameters, time standard parameters and control standard parameters in a memory, and provides software information to a user when the product code, the time code and the control code respectively conform to the product standard parameters, the time standard parameters and the control standard parameters. The user can download and use the software according to the software information. The present application can solve the problem that software is abused without restriction, and software vendors cannot effectively control and protect the software.

The invention discloses an electric power prediction method and device, equipment, a storage medium and a product, and relates to the technical field of data processing, and the method comprises the steps: extracting time sequence information from a historical electric power feature sequence obtained in advance, and calculating the time sequence features of the historical electric power feature sequence according to the time sequence information; time coding is carried out according to the sampling date of the time sequence feature and historical power feature sequence and the sampling date of a preset prediction sequence, and an input sequence time code and a prediction sequence time code are obtained; a correlation matrix is constructed based on input sequence time coding and prediction sequence time coding, power prediction is carried out based on the correlation matrix, a power prediction result is obtained, and the problems that a traditional prediction model is insensitive to a time sequence, position coding cannot represent complex periodic characteristics and the like are solved. Therefore, precise modeling of the power data time sequence and the complex period is realized, and the prediction precision and practicability are remarkably improved.

The present application relates to a device and method for multiplying signals. A multiplication circuit (100) has a first time-coded modulator (103a) and a second time-coded modulator (103b), wherein the first time-coded modulator (103a) and the second time-coded modulator (103b) are configured to receive a first combined signal (S C1 ) and the second combined signal (S C2 ) and generate respective first PWM signals (S) each having a cycle frequency that substantially depends on the square of the value of the input combined signal PWM1 ) and the second PWM signal (S PWM2 ). The first combined signal (S C1 ) corresponds to the sum of the first input signal (S1) and the second input signal (S2), and the second combined signal (S C2 ) corresponds to the difference between the first input signal (S1) and the second input signal (S2). The first time decoding converter (104a) and the second time decoding converter (104b) receive the first PWM signal and the second PWM signal and provide a corresponding first count value (D1) and a second count value (D2) based on a parameter related to the frequency of the corresponding first PWM signal or the second PWM signal. The subtractor (105) determines the difference between the first count value (D1) and the second count value (D2) and provides an output signal (D1) based on the difference. OUT ).

The present invention proposes a high-precision IRIG‑B (AC) time code demodulation method based on FPGA+MCU; the method is a B (AC) code decoding design based on the combination of FPGA+MCU and analog-to-digital conversion chip, and adopts a demodulation circuit with a digital circuit as the core. The method realizes the functions of some analog circuits in the analog method through digital circuits, thereby solving the problems in the prior art that time information is prone to bit errors and the demodulated second signal has large jitter.

The link delay between the detector and the ground is an important factor affecting the accuracy of timing, and is mainly obtained through test measurements during the AIT or large system docking test phase. Due to the different software and hardware design architectures of the on-board electronic equipment, some detectors have fuzzy matching problems in the output signal of the measurement of the link delay between the detector and the ground using the existing pulse time recording method for measuring the link delay between the detector and the ground. Based on the principle of device-to-ground timing, the on-board time code in the detector telemetry frame and the GPS time code attached by the ground time source at the moment of receiving the telemetry frame are obtained using the ground baseband equipment. A method and system for calculating the link delay between the detector and the ground based on the detector time code are proposed, which can be used to calculate the order of magnitude of the link delay between the detector and the ground and determine the exact value of the link delay between the detector and the ground in combination with the actual measurement results.

A system includes a computing platform having processing hardware, and a memory storing software code. The software code is executed to receive digital content indexed to a timeline, receive insertion data identifying a timecode of the timeline, and encode the digital content using the insertion data to provide segmented content having a segment boundary at the timecode, and first and second segments adjoining the segment boundary, wherein the first segment precedes, and the second segment succeeds, the segment boundary. The software code also re-processes the first and second segments to apply a fade-out within or to the first segment and a fade-in within or to the second segment, wherein re-processing the first and second segments provides encoded segments having the segment boundary configured as an insertion point for supplemental content.