38 results about "Recursion" patented technology

The invention relates to an elastic control method of a high-order nonlinear system under pulse false information injection attack. The method comprises the following steps: acquiring a system output signal and a control input signal of a current control period, and a state estimation value vector and a fuzzy weight vector estimation value of a previous control period; inputting a system output signal and a control input signal of a current control period, and a state estimation value vector and a fuzzy weight vector estimation value of a previous control period into a nonlinear state observer based on a fuzzy logic system to obtain a state estimation value vector of the current control period; the controller based on the fuzzy logic system carries out backstepping recursion through the state estimation value vector of the current control period and the fuzzy weight vector estimation value of the previous control period to obtain an elastic control input signal; and obtaining a fuzzy weight vector estimator of the current control period through an adaptive law based on the state estimation value vector of the current control period. By adopting the method, state jump and performance damage of attacks can be resisted.

The invention relates to the technical field of natural language processing, and provides a document segmentation method based on context marking and model cascading, which comprises the following steps: in response to a document segmentation request, loading a to-be-processed document and initializing segmentation parameters; calling a large language model to analyze a current to-be-processed text segment, identifying a logic demarcation point, and generating wedge information containing a segmentation point mark and a context; positioning absolute positions of segmentation points in the text segment according to the wedge information, and segmenting the text segment into a plurality of text sub-segments; repeating the execution until a preset recursion termination condition is reached; after recursion is completed, segmenting results of all layers are aggregated, a hierarchical document structure is constructed, and the segmenting results are output. Through a wedge mechanism, only tiny positioning marks are output, the token cost is reduced, and the overall cost is optimized in combination with a model cascading strategy. And the generated text block is highly aligned with the semantic boundary of the document, so that the context fragmentation problem is effectively solved, the context relevance is enhanced, and the model illusion is inhibited.

The embodiment of the invention provides a method for carrying out calculation based on a data flow graph (DFG) and related equipment. The method comprises the steps that a first operator obtains a plurality of data values from a second operator, the data flow diagram comprises the first operator and the second operator, and the data values are stored in a plurality of instruction units corresponding to the second operator in the DFG respectively; the first operator calculates an output result of the first operator according to the plurality of data values in the second operator, and the plurality of data values in the second operator are input of the first operator. By the proposed techniques, cycling or recursion may be performed in the DFG.

The application discloses a kind of communication power supply operating state intelligent monitoring methods based on machine learning, comprising the following steps: S1, obtains multiple-source monitoring data and pre-processes;S2, sequence segmentation is carried out using sliding time window and statistical feature vector is extracted, forms state variable set;S3, each state variable is encoded to construct state node and establish weighted directed connection, and construct operating state evolution diagram;S4, state transition matrix is constructed, main transition feature is extracted and low rank is approximately reconstructed, sequence learning is carried out to construct state update function;S5, to state node, multiple-step recursion is carried out, and the Euclidean distance between recursive state and risk boundary is calculated, to determine state monitoring result;S6, error is calculated and state update function parameter is iteratively updated.The application can realize the multiple-step recursion prediction and risk trend identification of communication power supply operating state, improve the accuracy and stability of communication power supply operating state monitoring.

Disclosed in the present invention is a real-time recursive CRC method. The method comprises: sequentially extracting from a real-time bit stream a1a2a3… binary sequences S1S2…Si… at non-fixed lengths; bisecting into left and right parts each binary sequence segment Si, so as to obtain sub-sequences, and repeatedly bisecting into left and right parts the sub-sequences until the lengths of finally obtained sub-sequences are less than a preset value; and calculating a CRC check value and check matrix of each final sub-sequence, and performing level-by-level upward merging calculation on left and right sub-sequences, so as to obtain a final check value of the entire real-time bit stream. Further disclosed in the present invention are a corresponding CRC apparatus and a computer storage medium and a program for implementing the CRC method. In the present invention, a method combining iteration with recursion is used to calculate, in real time, a check value of a variable-length binary sequence stream, thereby achieving logarithmic calculation time complexity and meeting CRC operation requirements of a real-time ultra-high-speed data stream.

The invention discloses a logical operation method based on depth-first traversal and stack recursion, and belongs to the technical field of computer logical operation and data processing. The method aims at solving the problems that in the prior art, when a complex nested logic expression is processed, operator priority judgment is complex, short circuit evaluation is difficult to achieve, and code maintainability is poor. The core of the method is that firstly, a nested logic expression to be calculated is abstracted into a tree-shaped or nested array data structure; secondly, a depth-first traversal algorithm is adopted to conduct recursive scanning on the data structure, and in the traversal process, encountered logic operators and basic judgment conditions (calculation factors) or intermediate calculation results of sub-expressions are sequentially pressed into a main stack according to the traversal sequence; when traversal of one sub-expression is completed, an actuator module is automatically triggered; and the executor module pops up a logic operator of the current action range from the main stack.

The invention provides a multilayer solving method for accelerating circuit simulation, electronic equipment and a storage medium, and the method comprises the steps: carrying out the recursion division of a circuit into sub-circuits of a plurality of hierarchies, and forming a hierarchical structure from fine to coarse; on the basis of circuit delay attributes, marking and simplifying inactive parts in each level of sub-circuit, and constructing a mapping relation between levels at the same time; based on the hierarchical structure and the mapping relation, assembling a to-be-solved linear equation set; a multi-layer class method is adopted to solve the linear equation set, and the multi-layer class method comprises the steps that smoothing is carried out on a fine layer before iteration, a residual error is transmitted to a coarse layer, a direct method is adopted to solve the coarsest layer, and then a solving result is extended back to the fine layer and smoothing is carried out after iteration; and repeating the solving step of the multi-layer class method until the linear equation set converges. The system of linear equations is established based on a multi-level circuit structure and is solved by using a multi-level method, so that the solving time and memory occupation of the system of linear equations in circuit simulation are greatly reduced.

The invention relates to the technical field of data processing and prediction, and discloses a space-time sequence prediction method and system and computer equipment, a bottom layer steadily extracts space local and short and medium-term dynamic states through a convolution gating loop unit, an upper layer captures cross-site and cross-scale long-range dependence through a space-time self-attention Transform, and the space-time sequence prediction method comprises the steps that the space local and short and medium-term dynamic states are obtained; and a multi-step result is stably output at a decoding end, and position coding and attention visualization are provided at the same time to enhance the interpretability and maintainability of the service. Through recursion of input in a time dimension by using a convolution gating cycle unit, a space structure is maintained, space information loss caused by traditional RNN straightening is avoided, time position codes and space position codes are superposed, space-time position codes and space constraint attention are provided as selectable features, and physical consistency and interpretability are improved.

The invention provides a charging load prediction method and device based on dynamic game and spatio-temporal state evolution, and the method comprises the steps: building a simultaneous time recursion equation under a discrete spatio-temporal framework based on a multi-source impact factor parameter; the simultaneous time recursion equation is used for describing the joint evolution process of at least two different types of driver states under a discrete space-time framework, the influence of external factors on individual states is reflected, the game logic in a group is also reflected, the prediction result conforms to the real driver behavior logic, and the prediction accuracy is improved. A joint recursion relation is determined and obtained on the basis of the time recursion equation through iterative calculation on a discrete time axis until the joint recursion relation reaches a stable state, a curve of the total charging power of the target charging station changing along with time is extracted from the stable state, and a charging load prediction result is obtained. It is ensured that the prediction result is stable output after long-term evolution of the system and fits the load law in actual operation of the charging station.

The present application relates to the technical field of computer, disclose a kind of saxophone sound physical modeling computer simulation method.The method comprises: according to saxophone geometric parameter and fingering configuration, its acoustic cavity is divided into multiple acoustic sub-sections;The geometric characteristics of each sub-section are modeled using one-dimensional non-uniform digital waveguide, two-dimensional axisymmetric finite difference time domain or three-dimensional boundary element local resonance unit respectively;Interface coupling model is constructed to meet the continuity of sound pressure and the conservation of volume velocity;Combined with the reed excitation model based on the nonlinear Bernoulli equation, the sound field state of each unit is calculated synchronously by multi-rate time domain recursion algorithm, and high-fidelity audio data stream is output.The present application improves the simulation efficiency significantly while ensuring the timbre fidelity through heterogeneous modeling and multi-rate strategy, and realizes the collaborative optimization of precision and real-time.

The invention discloses a preset time adaptive control method and system for a high-order nonlinear MIMO system, and relates to the technical field of industrial control. The method comprises the following steps: establishing a dynamic model of a high-order nonlinear MIMO system, and approaching an unknown nonlinear function in the dynamic model by using a neural network; determining a tracking error based on the dynamic model; constructing a virtual control law based on the tracking error and defining a virtual error; constructing a preset time filter to process the virtual control law, and determining a filtering error; the parameter of the preset time filter is configured to enable the filtering error to converge in the preset time; under a backstepping recursion framework, combining a tracking error, a virtual error and a filtering error, and adopting an improved weighted integral technology to design an actual control law; and setting an event triggering mechanism based on a relative threshold value to modulate the actual control law and then output a control signal. The system stabilization time can be directly preset without being influenced by the initial state, and meanwhile the updating frequency of the controller is reduced.

The embodiment of the invention provides a recursive query processing method and a related device, and relates to the technical field of big data, the method comprises the following steps: when a statement to be processed is determined to be a recursive query statement, extracting a table name and a recursive condition in the recursive query statement; according to the table name and the recursion condition, constructing a directed graph, and based on the directed graph, obtaining the maximum depth of nodes and the total number of paths; splitting the directed graph into a plurality of sub-graphs according to the maximum depth and the total number of paths; and determining a link from a starting node to a target node according to the plurality of sub-graphs, and outputting the link. According to the method, the recursive query table data is abstracted into the directed graph, so that the success rate and efficiency of recursive query can be improved.

A multi-dimensional context and hierarchical authorization dynamic character analysis system and method belong to the field of enterprise-level data authority management, and the method comprises the following steps: a receiving and recognition module dynamically recognizes a time template, a user context template, a function template, a hierarchical authorization template and a parameterized template type through a regular expression; the recursion decoding module avoids infinite recursion and processes any hierarchical nested template; the hierarchical authorization processing module calls a data permission interface to dynamically generate an SQL fragment containing an organization identifier; the parameterization processing module extracts attribute values of an external business object set through a reflection mechanism, and secondary recursive decoding is triggered after the attribute values are assembled into list format character strings. According to the method, dynamic fusion of user, time and organization triple constraints can be realized, single configuration of complex business rules is supported, a new template type can be expanded without hard code modification, a decoding process is traced through a security white list control function call and auditing module, and the flexibility of a permission system and the batch business adaptation capability can be remarkably improved.

The invention relates to the technical field of computers, and discloses a physical modeling computer simulation method for saxophone sound. The method comprises the following steps: dividing an acoustic cavity into a plurality of acoustic sub-segments according to saxophone geometric parameters and fingering configuration; modeling is carried out by adopting a one-dimensional non-uniform digital waveguide, a two-dimensional axisymmetric finite difference time domain or a three-dimensional boundary element local resonance unit according to the geometrical characteristics of each sub-section; constructing an interface coupling model satisfying sound pressure continuity and volume velocity conservation; and in combination with a reed excitation model based on a nonlinear Bernoulli equation, synchronously calculating the sound field state of each unit through a multi-rate time domain recursive algorithm, and outputting a high-fidelity audio data stream. According to the method, through heterogeneous modeling and a multi-rate strategy, the simulation efficiency is remarkably improved while the tone fidelity is ensured, and collaborative optimization of precision and real-time performance is achieved.

The application proposes a hybrid time-scale based weakly nonlinear dynamic system equation discovery method. The method first constructs the dynamic system state variables and phase space trajectory according to the bridge wind-induced vibration response, and organizes the training data based on the phase space structure; then a dynamic symbolic network is established to learn the local dynamic law and overall evolution law of the system in the time recursion process; finally, combined with sparse constraints and parameter screening, the explicit control equation of the target dynamic system is obtained. The method can effectively combine the phase space structure information, multi-time scale characteristics and the explainable expression ability of the symbolic network, and improve the stability and explainability of the bridge wind-induced vibration dynamic equation identification.

The invention discloses a tracked robot trajectory tracking control method based on a dynamic virtual steering coefficient, which relates to the technical field of tracked robots, and comprises the following steps: randomly selecting an expansion point on a reference trajectory to carry out Taylor expansion on a kinematics equation of a tracked robot to obtain a linear approximation equation; wherein a dynamic virtual steering coefficient is added to the kinematics equation; sequentially obtaining a linear error equation, a discretized kinematics model, a state recursion formula and a relational expression of a state quantity and a control quantity in a prediction time domain based on the linear approximation equation; performing equivalent transformation on the cost function by using the relational expression of the state quantity and the control quantity in the prediction time domain to obtain an equivalent cost function; the equivalent cost function is converted into a standard quadratic programming form and then is solved, and an optimal control quantity matrix in a prediction time domain is obtained; updating the dynamic virtual steering coefficient based on the position error and the average speed in the prediction time domain; according to the invention, the trajectory tracking precision and the adaptive capability can be improved.

Method and system for analyzing binary computing system program data for recursive semantics, the recursive semantics being computational constructs and mechanisms that facilitate self-reference or repetition within binary program inputs and that enable repeated execution of a block of code through direct self-reference, the method and system comprising: receiving binary program input; analyzing the binary program input using analysis, extracting aspects of structural and functional characteristics of the binary program input; creating graphical representation corresponding to the recursion and iteration processes within the binary program input's algorithms; initializing, if not previously established, program anthology, indexing algorithms derived from the binary program input within the program anthology, storing the indexed program anthology, retrieving previously categorized algorithms, and determining an output indicating the recursive semantics being present in the binary program input that enable the identification of potential security vulnerabilities.

The application discloses a distortion towed array line spectrum inter-element phase difference space-time frequency joint deblurring method and system, and the method comprises the following steps: firstly, based on the grid theory phase difference deblurring, a three-dimensional phase difference residual tensor composed of time frames, spatial elements and discrete time delay differences is constructed; secondly, a system optimization target is constructed, and time and space smoothing weight parameters are dynamically obtained through the global mean of the phase residual tensor; then, recursive solving of the three-dimensional residual tensor is realized based on the dynamic programming principle, and the cumulative minimum cost, the space-time optimal predecessor state and the path index matrix are calculated point by point; finally, the optimal discrete time delay difference of each time frame and each element is obtained by reverse recursion, and the high-frequency line spectrum phase difference deblurring is completed. The application fully utilizes the space-time two-dimensional correlation of the line spectrum inter-element phase difference, and the global optimal solution is obtained through local optimal path recursion, so that the line spectrum inter-element phase difference deblurring success rate of the ship radiated noise under the condition of low signal-to-noise ratio is significantly improved.

The invention provides an interaction method and device supporting infinite nesting data structure visualization, and relates to the technical field of data structure visualization and man-machine interaction collaborative modeling. The method comprises the steps that recursive rendering of type perception is executed in response to a data structure loading event, and a nested graph with a clear hierarchical topology is generated; providing a double-input mode of an expression mode and a fixed value mode for basic type nodes, and realizing accurate binding of array variables through a special binding button, an intelligent array selector and a node type label identification and single-selection constraint mechanism under the expression mode; and starting a double-layer recursive verification process driven by a root node during submitting, and performing upward aggregation propagation and visual feedback on a verification result along a parent path. According to the method, the rendering performance and interactive user experience of the deep nested data structure are improved, real-time infinite recursion operation is supported, and the problems that topology is not visual, binding is prone to errors, verification is low in efficiency and the like in complex data structure visualization of a traditional tool are effectively solved.

This application discloses a BIM-based method and system for large-space pipeline installation, involving pipeline installation: BIM model data is processed into a three-dimensional mesh to generate a meshed spatial model, constructing the pipeline installation space; the load per unit length of the pipeline is calculated based on the pipeline's self-weight and the weight of the medium inside the pipeline, according to physical parameters; dynamic programming is used to optimize the arrangement of supports and hangers; a state transition equation is constructed based on the pipeline's unit length load and a continuous beam model of structural mechanics; based on the state transition equation, the optimal decision sequence is obtained through reverse recursion, backtracking from the pipeline end to the starting point, and at each decision stage, the support point position that minimizes the cumulative deflection of all subsequent pipe segments is selected, generating a globally optimal support and hanger arrangement sequence; based on the globally optimal support and hanger arrangement sequence and the pipeline's unit length load, the deflection value of each pipe segment is calculated; this application avoids the problem of uneven deflection distribution caused by traditional local optimization methods.

A machine learning method comprises: (a) applying a contrastive learning model to a training image and an image mask to generate a foreground feature vector pair and a background feature vector pair; (b) calculating a foreground loss and a background loss according to the foreground feature vector pair and the background feature vector pair; (c) calculating a total loss from the foreground loss and the background loss; (e) when a recursion end condition is met, using a first encoder for parameter adjustment of machine learning model; and (f) when the recursive end condition is not met, adjusting a parameter of the first encoder in the contrastive learning model using the total loss, and adjust a parameter of a second encoder in the contrastive learning model using the adjusted parameter of the first encoder and a preset multiple, thereby performing step (a) to step (d) again.

The invention relates to a transient electromagnetic three-dimensional numerical simulation method and device based on an observation decomposition framework. The method comprises the following steps: dynamically and adaptively decomposing an emission source into a plurality of decomposition sources based on an observation decomposition framework, and constructing an independent sub-grid for each decomposition source and each receiving point in each time channel; the decomposition of the emission source is carried out in an iteration mode, in each time channel, the size of the current decomposition source is jointly determined by the current transceiving distance and the size and transceiving distance of the decomposition source of the last decomposition, the transceiving distance required by the next decomposition is generated, and recursion is carried out until the decomposition is completed. Sub-models are obtained according to the sub-grids, the local magnetic vector potential of each sub-model at the initial moment is calculated through the Biot-Savart law, a double-rotation control equation of the sub-models about the magnetic induction intensity is solved, magnetic field response results of the sub-models are obtained, the magnetic field response results of all the sub-models are synthesized, and magnetic induction intensity distribution of the global model is obtained. The method has the advantages of being high in calculation speed and low in memory requirement.

The invention provides a simulation and virtual-real interaction method for a composite material robot fiber placement machine, and belongs to the technical field of automatic placement of composite materials. According to the method, a three-dimensional engine architecture is constructed on the basis of OpenGL and C # programming language according to simulation and virtual-real synchronization requirements of a composite robot fiber placement machine in the aircraft manufacturing industry, and orderly execution of model events is realized by adopting a mode of combining a serial process, a queue and recursion; integrating rendering optimization functions of point-line-plane rendering, OBJ model introduction and Von illumination and spotlight superposition; solving forward and inverse kinematics of the six-axis mechanical arm through a geometric method and an analytical method, and driving kinematics simulation of the fiber placement machine; data interaction and virtual-real synchronization of a virtual model and a physical model are realized based on industrial communication protocols such as ModBusRTU, TCP / IP and Siemens S7, and a man-machine interaction platform supporting a manual / automatic mode is established. The method can intervene in laying path and robot posture simulation in advance, safety accidents are avoided, dependence on foreign software is not needed, and the fiber laying efficiency and the intelligent level are improved.

The application discloses a quasi-cyclic low-density parity-check code decoding method, system, device and apparatus, acquires a target codeword to be decoded; acquires a current decoding recursion number and a previous flip signal, the previous flip signal is used to represent whether a previous recursion number of the current decoding recursion number is bit flipping; acquires a syndrome value of the target codeword calculated at the current decoding recursion number; acquires a row weight value of the target codeword; determines a current flip signal based on the current decoding recursion number, the previous flip signal, the syndrome value and the row weight value; determines a current decoding result of the target codeword at the current decoding recursion number based on the current flip signal and the syndrome value, and determines a target decoding result of the target codeword based on the current decoding result. The application can quickly determine the current flip signal, and then can quickly determine the current decoding result of the target codeword at the current decoding recursion number based on the current flip signal and the syndrome value, and can improve the decoding efficiency of the quasi-cyclic low-density parity-check code.

This application relates to a method, apparatus, device, and storage medium for detecting infinite recursion in cloud functions. The method includes: before running a user-uploaded first cloud function, performing a recursion check on the code of the first cloud function to determine if infinite recursion exists; if the recursion check determines that the first cloud function does not have infinite recursion, then allowing the first cloud function to run; and during the running of the first cloud function, monitoring its resource usage; and if the resource usage of the first cloud function meets abnormal resource consumption conditions, restricting its resource usage. This method can prevent infinite recursion in cloud functions.

The present invention relates to a method for converting and optimizing program codes between different program languages. A method for converting and optimizing program codes, comprising: obtaining a source program segment; obtaining an abstract syntax tree corresponding to the source program segment; recursively visiting nodes in the abstract syntax tree by a syntax tag parser; querying a syntax tag corresponding table according to the visited nodes to generate syntax tags corresponding to a target program language; recursively visiting blocks in the abstract syntax tree by a semantic combiner; combining contents and syntax tags of the blocks with contents and syntax tags of the last visited block to generate and update intermediate results; generating a target program segment based on the intermediate results after the recursion ends; and, visiting a plurality of semantic combinations in the target program segment by a semantic optimizer, and simplifying the plurality of semantic combinations to generate an optimized target program segment.

The invention discloses an active suspension robust unconstrained MPC method based on perturbation observer preview, and relates to the technical field of data processing, and the method comprises the following steps: S1, constructing an unconstrained derivation solving method for a suspension system; s2, constructing a disturbance recursion format for the suspension system; s3, obtaining a control quantity according to an unconstrained derivation solving method and a disturbance recursion format; and S4, completing disturbance estimation preview control based on the control quantity. Aiming at the control of a 1 / 4 vehicle active suspension system, compared with a basic MPC method ignoring disturbance, the method effectively improves smoothness, on one hand, the improvement of recursion accuracy is indicated, and on the other hand, the improvement of the recursion accuracy can enhance the MPC control effect.

The invention provides a semantic style-based generative text watermark embedding method and a detection method thereof, and the method comprises two stages: watermark embedding and watermark detection: during embedding, dynamically generating a style fingerprint according to preamble semantics and mapping the style fingerprint into a style instruction; selecting a sentence with the complexity closest to the target style from a plurality of candidate sentences according to the style instruction to embed the watermark in a hidden manner, and generating a subsequent text in a chain recursion manner; during detection, style complexity observation values of sentences in a to-be-detected text are extracted and binarized, binarized style fingerprints are obtained, segmentation is carried out according to the same length, the matching degree of theoretical fingerprints obtained through semantic calculation in the previous text and binary style fingerprints extracted in the current segment is compared segment by segment, and the existence of watermarks is judged based on statistical hypothesis testing. And blind detection without an original model or cue word is realized. According to the method, the watermark signal is embedded into the text style dimension, so that the high quality of the text is ensured, and meanwhile, the method has high concealment and strong robustness.

The application provides a semantic style-based generative text watermark embedding method and a detection method thereof, which comprises two stages of watermark embedding and watermark detection: in the embedding stage, a style fingerprint is dynamically generated according to the previous text semantics and is mapped into a style instruction, a sentence closest to the target style complexity is selected from multiple candidate sentences according to the style instruction to implicitly embed the watermark, and subsequent text is generated by chain recursion; in the detection stage, the style complexity observation value of each sentence in the text to be detected is extracted and binarized to obtain a binary style fingerprint, the binary style fingerprint is segmented according to the same length, the matching degree of the theoretical fingerprint calculated according to the previous text semantics and the binary style fingerprint extracted from the current segment is compared, the watermark existence is judged based on statistical hypothesis testing, and blind detection without the original model or prompt words is realized. The watermark signal is embedded in the text style dimension, high quality of the text is ensured, and high concealment and strong robustness are combined.