56 results about "Pattern sequence" patented technology

The invention provides a pattern multi-row matching method and device for ATE equipment, and the method comprises the steps: determining a cyclic pattern sequence comprising a plurality of rows of target patterns based on the number of matched rows when a first to-be-tested pattern carrying a LOOPMATCH instruction is recognized after a test is started; lOOPMATCH circulation is executed on the basis of the circulation Pattern sequence, and in each LOOPMATCH circulation, the Pattern matching result of the target Pattern in each row is determined; when all Pattern matching results pass in one cycle, jumping out of the LOOPMATCH cycle and determining that the cycle Pattern sequence test passes, otherwise, continuing to circulate to the maximum cycle number and then determining that the cycle Pattern sequence test does not pass; according to the technical scheme of the embodiment of the invention, when the first to-be-tested Pattern carrying the LOOPMATCH instruction is detected, multiple rows of target Patterns are constructed for loop testing, and LOOPMATCH loop is jumped out after any complete matching succeeds, so that the depth of the Pattern sequence can be effectively reduced, multi-row synchronous multi-time level matching is realized, the test resource overhead is reduced, and the test efficiency is improved.

The invention relates to the technical field of data processing, and provides a trade big data processing and user behavior prediction method and system.The trade big data processing and user behavior prediction method comprises the steps that transaction data, browsing behavior data and feedback evaluation data of a user on a cross-border e-commerce platform are obtained to generate a user behavior pattern sequence, and then a user interaction graph is constructed; and carrying out edge weight updating and node label classification to obtain a high-dimensional relation graph, carrying out similarity partition processing to obtain a predicted popularity index graph, and predicting the future cross-border commodity interaction behavior of the target user group by using the predicted popularity index graph. By acquiring transaction data, browsing behavior data and feedback evaluation data of users and generating a prediction popularity index graph, multi-dimensional data are effectively and comprehensively processed, accurate prediction of cross-border commodity interaction behaviors of a target user group is realized, and the user experience is improved when a user intention deep relationship is processed and cross-time-period behavior evolution analysis is performed. The problems of low model dimension and insufficient prediction precision exist.

The invention discloses a mask typesetting method, device and equipment, a medium and a product, and relates to the technical field of semiconductor integrated circuits. The mask typesetting method comprises the steps that a target interface is displayed, the target interface comprises an element configuration area and a drawing area, and the element configuration area at least comprises candidate masks and candidate mask graphs; in response to an operation of selecting a candidate mask and a plurality of candidate mask patterns in the element configuration area by a user, taking the candidate mask selected by the user as a target mask, and taking the plurality of candidate mask patterns selected by the user as first mask patterns; arranging the first mask patterns according to the size sequence in the target direction to obtain a mask pattern sequence; sequentially selecting a plurality of first mask patterns from the mask pattern sequence according to a preset sequence to serve as a plurality of second mask patterns, and performing typesetting layout on the plurality of second mask patterns in a target mask based on a target boxing algorithm to obtain a mask layout; and displaying the mask layout in the drawing area.

The invention discloses a role personalized behavior generation method based on reinforcement learning, and relates to the technical field of reinforcement learning, and the method comprises the following steps: S1, collecting historical behavior data of a role, and generating a behavior pattern sequence; s2, training a diffusion converter by using the behavior pattern sequence to generate an initial personalized behavior sequence; s3, optimizing the initial personalized behavior sequence by adopting a positive and negative spiral whale search algorithm, and outputting an optimized personalized behavior sequence; s4, in combination with feedback information of the environment where the role is located, performing secondary dynamic adjustment on the personality characteristic parameters of the role; and S5, evaluating the personalized behavior strategies by adopting a large language model, screening the personalized behavior strategies, and outputting a final personalized behavior strategy. According to the method, reinforcement learning, the diffusion converter and the positive and negative spiral whale search algorithm are combined, role personalized behavior generation is achieved, and the method has the advantages of being high in behavior diversity, personality matching degree and environment adaptability.

The invention discloses a projector and optical motion capture joint calibration system and method, and relates to the technical field of projection, and the method comprises the steps: erecting an optical motion capture camera, obtaining a calibration tool, moving the calibration tool, carrying out the information collection based on the optical motion capture camera, and determining the internal and external parameters of the optical motion capture camera. Outputting a motion capture system calibration completion result; when a calibration completion result of the motion capture system is received, obtaining an RGB camera, and installing a calibration rigid body on the RGB camera; performing hand-eye calibration on the RGB camera and the calibration rigid body to obtain camera internal reference information and hand-eye calibration external reference information, and outputting a hand-eye calibration completion result; and after a hand-eye calibration completion result is received, creating a pattern sequence image, projecting the pattern sequence image on the projection screen, adjusting the pattern sequence image, and outputting a pattern projection completion result. The method has the effect of improving the joint calibration precision of the projector and optical motion capture.

The invention relates to the technical field of data analysis, in particular to an alarm data analysis method and system of a power plant. The method comprises the following steps: collecting original alarm signals, generating a characteristic matrix of the alarm signals through frequency calculation and time sequence characteristic analysis, carrying out visualization processing, positioning repeated alarm points, carrying out clustering analysis, generating classified alarm data, carrying out inter-class correlation analysis, and generating deduced alarm optimization data. Performing pattern recognition on the feature matrix based on an alarm historical record, extracting an alarm pattern sequence, predicting an alarm flooding situation, performing response evaluation on the classified alarm data, optimizing and adjusting the deduction data in combination with a flooding situation prediction result to generate pre-adjusted alarm optimization data, and outputting the pre-adjusted alarm optimization data. And integrating and summarizing the classification data, the response evaluation data and the optimization data to form an alarm analysis report. According to the invention, a safer and more efficient alarm data analysis method of the power plant is realized.

The invention provides a synchronous sampling type single-pixel imaging system and image reconstruction method based on DLP projection, and the method comprises the steps: constructing an orthogonal coding pattern sequence based on a pattern library, dividing the coding pattern sequence into different pattern segments, each pattern segment comprising at least one frame of pattern, and distributing a pattern number for each pattern; loading the coding pattern sequence to a DLP control module, and projecting the coding pattern sequence to a target object; starting a data acquisition card through a trigger signal to perform integral sampling on a light intensity signal acquired by a photoelectric detector to obtain an effective light intensity value corresponding to the pattern number; according to the collected pattern number and the corresponding light intensity value, estimating sampling energy distribution of each region of the pattern; identifying a low coverage area with energy lower than a threshold value, and generating a pattern rescheduling set; and carrying out fusion averaging on the repeatedly sampled pattern light intensity values, giving a higher weight to the sampling value of the corresponding pattern, and reconstructing a target pattern through a weighted back projection algorithm.

The invention relates to the technical field of intelligent lighting and voice interaction, in particular to a lamplight rhythm control system and method based on voice interaction, and the method comprises the steps: carrying out the analysis and feature extraction of a collected voice signal, and constructing a dynamic model which depicts the vortex core strength and position evolution of a sound field; an acoustic vortex sequence extracted based on the model is converted into an acoustic pattern sequence with space ductility through a pre-trained generative adversarial network. And carrying out space-time folding transformation on the pattern sequence to generate a high-dimensional acoustic instruction code so as to drive a lamplight array to present complex space rhythms associated with the dynamic depth of the voice. According to the method, the limitation of direct mapping of traditional audio visualization is broken through, intelligent generation and nonlinear mapping from a voice dynamic structure to light space art are realized, and the expressive force and immersion of acousto-optic interaction are improved.

The invention discloses a data association analysis method and device in the field of bidding and tendering. The method comprises the steps that a bidding and tendering historical information set is acquired; the bidding and tendering historical information set comprises a historical bidding information set and a historical bid winning information set; the historical bid winning information set comprises historical bid winning information; the historical bid-winning information comprises a bid-winning type, a behavior type, a bid-winning scheme technology description statement and a corresponding technology number; performing rule mining processing on the bidding and tendering historical information set to obtain a rule set; the rule set comprises a behavior technology matching model and a behavior pattern sequence pair library; acquiring a bidding document information set; the bidding document information set comprises bidding document information; the bidding document information comprises bidding time, a behavior type, a bidding technical route number and a bidding type; and processing the bidding document information set by utilizing the rule set to obtain an associated information set.

The invention relates to the technical field of industrial vision, in particular to a building structure crack recognition method and system based on image analysis, and the method comprises the following steps: projecting a preset coding pattern sequence to the surface of a building structure, and collecting and obtaining a distortion pattern image set, and coding information in the distortion pattern image set is decoded pixel by pixel and triangulation positioning calculation is carried out. According to the method, the coding pattern is projected on the surface of the building structure, the distorted image is synchronously acquired, triangulation positioning calculation is performed after pixel-by-pixel decoding, three-dimensional surface point cloud data with complete details can be generated, a two-dimensional crack grayscale image with uniform illumination is acquired, crack feature missing caused by single-dimensional information is avoided, and the accuracy of crack feature detection is improved. A normal vector and a maximum principal curvature value are calculated based on the three-dimensional surface point cloud data, a threshold value is set to screen a high-change area, and crack points and background points are effectively distinguished, so that the three-dimensional geometrical morphology of the crack can be accurately separated and reserved.

A mode sequencer circuitry for a time-of-flight system, the time-of-flight system including at least an imaging unit and an illumination unit, the imaging unit having a data bus interface for transmitting data to an application processor over a data bus.

The invention relates to the technical field of assisted reproduction health management, and discloses an assisted reproduction management method and system. The method comprises the steps that physiological data of multi-source monitoring equipment is received and subjected to standardization processing, and a multi-dimensional feature matrix is formed through time sequence alignment and feature fusion; identifying a dynamic evolution track of the key physiological mode by utilizing a mode clustering and sliding window technology; performing state deduction on the mode sequence based on the personalized model, and predicting a future physiological state; generating a regulation and control strategy sequence according to the difference between the prediction and the target, and executing the instruction; physiological response data is collected in real time and compared with an expected model, a follow-up strategy is dynamically adjusted, and closed-loop optimization is formed; and finally evaluating path validity and updating model parameters according to complete cycle data. According to the method, continuous accurate prediction and individualized self-adaptive regulation and control of the reproductive physiological state are realized, and the management accuracy and efficiency are improved.

The present invention discloses a two-stage decoding method for algebraic codes, comprising: S1, performing hard decision based on a received sequence to obtain a hard decision sequence; S2, generating one or more test error pattern sequences based on the received sequence; S3, performing bitwise exclusive-OR on each error pattern sequence and the hard decision sequence to obtain a second-stage decoding input sequence; S4, determining whether second-stage algebraic code decoding is required for each second-stage decoding input sequence, and performing S5 for all input sequences requiring algebraic code decoding; S5, performing algebraic code decoding, returning a decoding status and a decoding result; and S6, selecting the optimal decoding result from the decoding output as the decoding output. The present invention can achieve performance close to the finite code length bound based on hard decision decoding when the list is small, achieving low-complexity and high-performance decoding. Furthermore, a specially introduced judgment skipping mechanism can significantly reduce the number of times the algebraic code decoder is called in the second stage, thereby significantly reducing decoding power consumption.

Provided are computer-implemented methods for generating embeddings for objects which may include receiving heterogeneous network data associated with a plurality of objects in a heterogeneous network; selecting at least one pattern of objects; determining instances of each pattern of objects based on the heterogeneous network data; generating a pattern matrix for each pattern of objects based on the instances of the pattern of objects; generating pattern sequence data associated with a portion of each pattern matrix; generating network sequence data associated with a portion of the heterogeneous network data; and combining the pattern sequence data and the network sequence data into combined sequence data. In some non-limiting embodiments or aspects, methods may include generating a vector for each object of the plurality of objects based on the combined sequence data. Systems and computer program products are also provided.

The invention discloses a signal sorting method and device based on multi-hypothesis tracking, and a storage medium, and relates to the technical field of radar signal processing. The method comprises the following steps: acquiring a pulse TOA sequence, and calculating a PRI candidate value set; searching an effective initial pulse pair in the TOA sequence, and creating an initial tracking hypothesis for the effective initial pulse pair; aiming at the initial tracking hypothesis, searching the next matched pulse; if the matched pulse is found, judging whether the currently used PRI value is consistent with the PRI value of the initial tracking hypothesis or not: if so, updating the initial tracking hypothesis; if not, creating a new branch hypothesis; fusing and pruning all tracking hypotheses at regular intervals; confirming the tracking hypothesis meeting the output condition as a sorted radar pulse sequence, and outputting the sorted pulse sequence and a corresponding PRI change mode sequence; and repeating the steps in sequence for the residual pulse sequence which is not sorted until the sorting ending condition is met. According to the invention, the reliability of PRI sorting is improved.

A method for link transitions in a Universal Serial Bus system includes transmitting a plurality of first RS-FEC blocks by a first transmitter of the USB system, transmitting a training sequence by a second transmitter of the USB system, determining number of sets in a first RS-FEC block which have been transmitted by the first transmitter when the second transmitter completes transmitting the training sequence, generating a specific pattern sequence according to the number of sets in the first RS-FEC block which have been transmitted by the first transmitter and a total number of sets in the first RS-FEC block, and transmitting the specific pattern sequence by the second transmitter.

The application discloses a kind of both can guarantee calculation real-time, and can realize the high-fidelity restoration of missing link working condition flow power consumption settlement method, device, equipment and medium, wherein method includes: receiving the electric meter data message sent by edge computing node;According to the time zone of electric meter, the timestamp of energy consumption cumulative indication value is uniformly converted into logical local time, and maximum tolerance disorder time is determined based on network delay fluctuation in data message upload process to construct flow water level line, and flow water level line is used to drive the flow settlement of statistical window;Based on instantaneous power feature vector, load fingerprint library of electric meter is generated using clustering algorithm, and the load fingerprint library includes various load fingerprint patterns and their corresponding reference values;After detecting that electric meter is missing and recovered, extract the instantaneous power feature vector before and after missing, deduce the load fingerprint pattern sequence during missing period in combination with load fingerprint library, and restore the power increment generated during missing period to the corresponding each statistical window in missing period.

A fencing training system delivers programmable visual cues to simulate referee commands and tactical bout scenarios. It includes a transparent panel (11) with addressable LED lights (10), mounted on a tripod (12) and controlled by a microcontroller (14). Timed color and pattern sequences prompt fencers to initiate offensive, defensive, or interpretive actions. Users can customize delay intervals, cue types, and repetition frequency. The system improves timing accuracy, footwork consistency, and decision-making within the four-meter engagement zone. Configurable preparation windows and distance markers (20, 22, 24) aid spatial judgment. The system is adaptable for saber and foil fencing and may include auditory cues, motion detection, or mobile app control. Designed for portability and real-time responsiveness, it supports solo and group training. The invention may also be adapted for other sports requiring timed decision-making in confined spaces and incorporate AI-based customization using bout performance data to personalize footwork timing and cue sequences.

The application relates to a structured light 3D camera system and a measurement method based on FPGA heterogeneous computing, wherein the system comprises a projection module for projecting a structured light coding pattern sequence containing multiple frames of patterns; a collection module for collecting a structured light coding pattern sequence modulated by a target object and outputting the structured light coding pattern sequence in a preset format; and a processing chip module for generating a phase diagram of the target object by pipeline processing of the structured light coding pattern sequence through each hardware acceleration processing pipeline in an FPGA programmable logic unit and sending the phase diagram to an external host through Ethernet to perform three-dimensional modeling of the target object. Through the application, pipeline processing of the structured light coding pattern based on the FPGA hardware acceleration processing pipeline is realized, the time consumption of three-dimensional reconstruction is greatly reduced, edge computing on the camera system is realized, and the problem of how to improve the calculation real-time performance of three-dimensional reconstruction is solved.

Broad spectrum metrology for various metrology marker types is described. The systems and methods utilize a modulator, such as a spatial light modulator (SLM). The alignment mark is projected onto the SLM through the imaging lens. A pattern sequence on the SLM modulates the incoming image and all reflected energy collected by a collection lens, and a time-varying signal may be generated from a single detector or array of detectors. Color demultiplexers may be added to separate the signals at different wavelengths and direct them to respective detectors to allow for simultaneous multi-color measurements. The alignment mark may be irradiated in a static or scanning mode. The combination of the varying mark positions and SLM patterns allows various signals to be generated for alignment position measurements. Moreover, the SLM may readily accommodate the size of a region of interest and the marker.

A method for link transitions in a Universal Serial Bus system includes transmitting a plurality of first RS-FEC blocks by a first transmitter of the USB system (S202), transmitting a training sequence by a second transmitter of the USB system (S204), determining number of sets in a first RS-FEC block which have been transmitted by the first transmitter when the second transmitter completes transmitting the training sequence (S206), generating a specific pattern sequence according to the number of sets in the first RS-FEC block which have been transmitted by the first transmitter and a total number of sets in the first RS-FEC block (S208), and transmitting the specific pattern sequence by the second transmitter (S210).

The invention relates to the technical field of image communication, and discloses a performance test method and system for a wireless image transmission module, and the method comprises the steps: firstly, obtaining a target image of the wireless transmission module, constructing a test link comprising a transmitting unit, a receiving unit and a channel simulator, configuring a standard pattern sequence of the transmitting unit, acquiring a decoded image sequence output by the receiving unit, and extracting a synchronous mark frame to calculate unit transmission delay; the method comprises the following steps: identifying interference elements of a channel simulator, analyzing an interference intensity index, calculating a decoding effect value of a target image, constructing a transmission performance matrix based on a standard pattern sequence, time delay and the decoding effect value, identifying a critical state point, reconstructing a load test process according to the critical state point, and configuring a coding rate and a modulation order. And carrying out image performance test on the module to finally obtain a performance test result. According to the invention, the actual transmission performance of the wireless image transmission module can be detected.

The invention discloses a two-stage decoding method for an algebraic code. The two-stage decoding method comprises the following steps: S1, executing hard decision according to a receiving sequence so as to obtain a hard decision sequence; s2, generating one or more test error pattern sequences according to the receiving sequence; s3, performing para-position exclusive OR on each error pattern sequence and the hard decision sequence to obtain a second-stage decoding input sequence; s4, judging whether second-stage algebraic code decoding needs to be executed or not for each second-stage decoding input sequence, and executing S5 for all input sequences needing to be executed algebraic code decoding; s5, executing algebraic code decoding, and returning a decoding state and a decoding result; and S6, selecting an optimal decoding result from the decoding output as decoding output. According to the method, the performance approaching the limited code length boundary can be obtained based on hard decision decoding under the condition that a list is small, low-complexity and high-performance decoding is achieved, the number of times of calling an algebraic code decoder in the second stage can be remarkably reduced through a specially introduced judgment skipping mechanism, and therefore decoding power consumption is remarkably reduced.

The application provides a data center machine room operation and maintenance anomaly detection method based on deep learning, comprising: for a low-dimensional feature set, using a long short-term memory network to analyze time series and capture subtle patterns in low-dimensional dynamic characteristics to obtain a behavior pattern sequence; extracting packet structure and time delay changes from an abnormal candidate set, using an isolation forest algorithm for secondary screening to determine a hidden abnormal behavior set; according to the abnormal pattern set, using a sliding window mechanism to analyze real-time data streams to determine whether abnormal patterns continue to appear to obtain an abnormal persistence score; according to the final abnormal detection result, updating the parameters of the behavior benchmark model, using an online learning mechanism to optimize the model to obtain an updated behavior benchmark model; for the updated behavior benchmark model, cyclically executing real-time data stream analysis to continuously capture subtle patterns to obtain continuous abnormal detection output.

This invention relates to the technical field of industrial equipment monitoring, specifically to a method for monitoring the operation of an MVR evaporator used in industrial wastewater treatment. This method is immune to amplitude interference under normal operating conditions and can dynamically fuse waveform patterns from multiple sensors. The method includes: S1, obtaining a normalized pattern sequence for each sensor; S2, calculating the pattern offset score between the normalized pattern sequence and its corresponding healthy pattern template; S3, weighted fusing the pattern offset scores of each sensor based on dynamic sensitivity weights to obtain an adaptive blockage index; and S4, analyzing the continuous offset trend of the adaptive blockage index relative to a preset healthy baseline using a cumulative sum control chart to monitor the operating status of the MVR evaporator. This invention improves the monitoring sensitivity and decision reliability for early-stage collaborative anomalies related to blockage.

The application discloses a radar working mode recognition method and device based on a predicted state representation, comprising the following steps: training a probability model in advance by using a statistical method; sequentially searching for possible working mode transition probabilities of each time step from the probability model according to known states and known modes, and calculating transition path lengths; determining the shortest path of mode transition and the corresponding path value in the entire time sliding window according to the possible mode transition probabilities of each time step and the corresponding mode transition path lengths; recording the above results, moving the sliding window down by one time step, and repeating the above process; and voting to determine the optimal mode recognition result of each time step according to the voting result. The application estimates the mode value of each time step by searching for the maximum a posteriori probability of the mode sequence under the condition of the known state sequence, and adjusts and optimizes the recognition effect by comparing the recognition results in different sliding windows.

A transmission system includes a calculation unit that calculates a jitter pattern sequence of a plurality of packets transmitted by a transmission device via a network using a transmission interval of the plurality of packets and a difference between arrival times at which the packets arrive at a reception device, a generation unit that inputs the jitter pattern sequence to a first learning model to generate a state index indicating a state of the network, and a buffer estimation unit that determines a buffer size of a reception buffer of the reception device based on the state index.

A scan chain security circuit includes a scan chain including at least one flip-flop, a scan path obfuscator to obfuscate a path of a pattern sequence input to at least one first flip-flop grouped at an input side of the scan chain, in response to a first control signal, a scan path normalizer to normalize the path of the pattern sequence input to at least one second flip-flop grouped at an outside of the scan chain, in response to a second control signal, at least one dummy flip-flop interposed between the at least one first flip-flop and the at least one second flip-flop to receive a test key included in the pattern sequence, and a scan data obfuscator to damage and obfuscate an output pattern sequence output from the at least one second flip-flop, depending on whether a security key stored in a memory of a chip to be inspected is matched with the test key.

This invention provides a simulation-based method for predicting the load-bearing capacity of a conical sleeve, comprising: a parameter modeling agent reading the structural, material, and loading parameters of the conical sleeve connection joint, and establishing a load-bearing simulation model including the reinforcement load-bearing domain, grouting force transmission domain, sleeve constraint domain, first interface contact relationship, and second interface contact relationship; a conversion calculation agent extracting the axial displacement sequence, radial constraint pressure sequence, and interface slip sequence based on the load-bearing simulation model, calculating the radial constraint conversion efficiency, and establishing a digital constraint valve model; a constraint identification agent identifying the constraint opening position, peak constraint position, and constraint fallback position, and generating a set of effective constraint state intervals; a load-bearing deduction agent calculating the joint load-bearing capacity and determining the failure mode sequence, critical loading step, and force transmission state; and a prediction correction agent outputting the predicted load-bearing capacity, safe constraint interval, and parameter correction results.

A method for link transition in a USB device includes transmitting a plurality of first RS-FEC blocks by a first transmitter, receiving an UNBOND set by a receiver, waking up a second transmitter by a LASM when the receiver receives the UNBOND set, transmitting a training sequence by the second transmitter, transmitting a specific pattern sequence by the second transmitter after finishing transmitting the training sequence, determining whether a current RS-FEC block to be transmitted by the first transmitter is a DESKEW block, stopping transmitting the specific pattern sequence if the current RS-FEC block is determined to be the DESKEW block, and transmitting a plurality of second RS-FEC blocks by the first transmitter and the second transmitter.