32 results about "Sequence mapping" patented technology

The invention discloses a cognitive resident node recognition and attention link construction method, device and system, and belongs to the technical field of user behavior modeling, and the method comprises the steps: user behavior data collection, structured processing and preprocessing; behavior chain construction and semantic alignment: unifying behavior semantic description and constructing a time sequence mapping chain by identifying a behavior stage, and providing path input for cognitive resident node identification and attention link construction; recognizing cognitive resident nodes and constructing attention links, recognizing cognitive resident points of a user in corresponding stages, and establishing flow paths of attention between different nodes and behavior stages to form a structured attention link map. The user behavior modeling method solves the problems of data dimension splitting, behavior chain missing, rough intention modeling and insufficient time sequence evolution characteristic mining in an existing user behavior modeling method.

This invention discloses a method for reconstructing battery swapping station operation data based on adaptive truncation and feature correlation repair, belonging to the field of data reconstruction technology. First, a standardized two-dimensional spatiotemporal discrete model is constructed, and sequence mapping technology is used to align the discrete data stream to the date-time period operation space. Second, a zero-first truncation model based on the continuity of frequency distribution is established to adaptively remove outliers and noise. Then, Latin hypercube sampling and inverse cumulative distribution function transformation algorithms are introduced to fill in missing values ​​while ensuring that the reconstructed data conforms to the original probabilistic characteristics. Finally, the battery swapping frequency-electricity data is dimensionally reconstructed to facilitate the inductive analysis of battery swapping behavior characteristics. Numerical examples demonstrate that the method proposed in this invention effectively restores the statistical usability of the data, fully revealing the bi-peak tidal characteristics of battery swapping load and the distribution law of low-electricity anxiety, providing relatively reliable data support for load forecasting and regulation.

The application relates to the technical field of intelligent file management, in particular to a file intelligent management method and system based on microservices and a cloud native architecture, which comprises the following steps: acquiring file access records and constructing an access path, counting the frequency and sequence of authority nodes to generate a sorting list, dividing a processing interval to form a sequence mapping, identifying continuous operations to generate a continuation path, and integrating the path and the authority sequence to generate a management list. The application constructs an access track by extracting the access identifier and the file location identifier, generates a sorting result in combination with the time sequence and frequency of the authority nodes, divides a processing interval to determine the front-back relationship, associates operation behaviors such as reading, modifying and closing to form an access link, realizes the unified organization of the authority check sequence and the access path, improves the path coordination and processing continuity, reduces the fragmentation between the authority check and the file operation, and enhances the process adaptation capability and scheduling stability in a complex access scenario.

The invention relates to the technical field of deep learning, in particular to a stabilization water tank layout optimization method and system based on simulation data, and the method comprises the following steps: obtaining a three-dimensional ship model, wave field parameters and water tank structure data through simulation, completing the discrete analysis of a flow field, fusing the navigational speed, a rolling angle, a GM value and a wave direction angle, generating rolling characteristics, and carrying out the optimization of the layout of a stabilization water tank. The method comprises the steps of calculating multi-working-condition RAO, comparing different water tank layouts to form a candidate set, completing parameter iteration to generate an optimization sequence, executing sequence mapping in combination with real-time navigation data to generate an adjustment instruction, adjusting a water tank according to the instruction, performing error comparison to recalculate the RAO, and generating a layout optimization result. Navigation parameters and flow field features are fused to enhance rolling rule expression, a mappable layout sequence is formed through iterative screening to improve the adjustment precision, a dynamic adjustment instruction is generated through real-time data to enhance the response of the layout to sea conditions, and precise tracking and optimization of the stabilization layout to rolling changes are achieved.

The invention provides a traveling wave fault location signal identification method, system and device and a medium, and relates to the technical field of signal processing and fault diagnosis, and the method comprises the steps: carrying out the orthogonal decomposition of a traveling wave fault location signal, extracting a high-frequency orthogonal component, constructing a polar coordinate system time sequence mapping graph based on the high-frequency orthogonal component, and carrying out the recognition of the traveling wave fault location signal. And further extracting a rotation angle sequence and a track overlapping distribution feature, extracting a topology invariant in combination with a continuous coherence algorithm, and finally judging a signal type through an evolution trend of the Warisstein distance. Thus, the integrity and accuracy of traveling wave ranging signal feature extraction can be remarkably improved, the problem of high-frequency non-stationary signal analysis is effectively solved, meanwhile, the robustness and reliability of signal recognition are enhanced through introduction of topological invariants, and therefore precise classification and judgment of complex signals are achieved. The method is helpful for improving the precision and efficiency of fault positioning, and is suitable for rapid identification and monitoring of typical faults such as partial discharge in a complex power system.

The invention provides a low-voltage active power distribution network user phase sequence identification and control method based on carrier communication, and relates to the technical field of low-voltage power distribution network electric energy quality treatment. Firstly, a special carrier communication network is deployed in a to-be-identified low-voltage distribution area, and operation parameter data of the distribution area are synchronously collected based on the network; after preprocessing the data, constructing a voltage-power phase sequence mapping model; training the model by using the preprocessed data, and extracting a phase sequence mapping matrix from the trained model curing parameters; determining phase sequence categories to which all users belong based on the matrix, and calculating a three-phase unbalance degree; and when the unbalance degree exceeds a preset threshold value, generating a load adjustment scheme, and remotely adjusting the phase sequence category to which the user belongs by using a special carrier communication network. According to the method, the recognition accuracy is improved under the condition that extra prediction calculation is not needed, the efficiency and accuracy of user phase sequence recognition are both considered, and the control precision of user phase sequence control is improved.

The application relates to the technical field of oil and gas field development engineering, and discloses an oil reservoir injection-production structure self-adaptive optimization and recovery efficiency intelligent prediction system, which comprises a physical operation subsystem, a data transmission network and a central control processing subsystem. An active excitation generation module constructs an orthogonal pseudo-random binary sequence mapping to be applied to a water injection well as a flow instruction; a multi-frequency response decomposition module identifies a formation connectivity coefficient and a lag time from a pressure response by using cross-correlation operation; a flow pipe network evolution module constructs a one-dimensional flow pipe network based on the connectivity coefficient, deduces an oil-water interface and an instantaneous water cut; and an optimization control module optimizes a water injection sequence based on a nonlinear model predictive control strategy, and updates a reference water injection amount by using a first value feedback as a target to maximize a net present value. Through a closed-loop feedback mechanism, the application realizes real-time identification of parameters and automatic optimization of an injection-production structure under continuous production.

The invention provides an information acquisition and transmission method and device, a terminal and network equipment, and the method comprises the steps: obtaining the generation information of a target sequence and / or a sequence mapping relation, the target sequence comprises a first sequence and a second sequence, and the sequence mapping relation comprises at least one of the following: a sequence time domain mapping relation and a sequence frequency domain mapping relation; receiving a first signal according to the generation information and / or the sequence mapping relation; target indication information is acquired according to the first signal, and the target indication information comprises wake-up indication information and / or transmission indication information; the first signal is jointly generated by a first sequence and a second sequence, and the first signal is used for waking up the terminal and / or triggering the terminal to receive a signal transmitted by network equipment; the first sequence is a sequence generated through an OFDM waveform, and the second sequence is a sequence generated through a target waveform. According to the scheme, the wake-up indication information and / or the transmission indication information can be accurately acquired, and the communication reliability is ensured.

The application discloses a kind of cascade type chaotic sequence mapping method and system for frequency hopping communication system, method includes: setting the iteration parameter of first level chaotic sequence and second level chaotic sequence;The iteration parameter includes Prandtl number, Rayleigh number, direction ratio, fractal parameter and iteration initial value;First level chaotic sequence and second level chaotic sequence under two different initial value iterations are generated by first level chaotic model and second level chaotic model;Each iteration value generated by first level chaotic sequence is used as the initial value required for second level chaotic model iteration to carry out cascade, to generate cascade variable-parameter chaotic sequence;The time sequence of cascade variable-parameter chaotic sequence is scrambled, the sequence after scrambling is carried out hash transformation, then compression mapping is carried out, to generate processed chaotic sequence;Wide interval processing is carried out to the processed chaotic sequence to generate wide interval frequency hopping sequence.The application enhances the anti-interference of chaotic frequency hopping sequence.

The application discloses a kind of neighborhood collaborative flow field sequence mapping transmission line icing galloping detection method, it belongs to power grid disaster prevention technical field.The application solves the problems of large computing power consumption, poor adaptability and low detection accuracy caused by environmental representation distortion of existing methods.In the multi-end collaborative data domain, the high-dimensional space characteristic cosine similarity is calculated by sliding window traversal, and the representative sequence of airflow distortion is extracted.Through this way, the fluid mechanics simulation is replaced, and the hardware computing power consumption of large-scale three-dimensional fluid calculation is reduced.The complex microtopography of transmission line neighborhood and the physical response of light icing are deeply mapped and seamlessly complementary, the environmental induction mechanism is maximized, the environmental representation is not distorted, and high-accuracy transmission line icing galloping early warning is realized.According to the entity object set and unsupervised clustering algorithm, transmission line icing galloping early warning under different neighborhood microtopography can be output, which has strong adaptability.The application can be applied to icing galloping detection.

The application discloses a GPU delay type hardware Trojan design method for NVLink interconnection triggering, belongs to the field of integrated circuit security, and is suitable for a multi-GPU system adopting an NVLink high-speed interconnection. The method implants a hardware Trojan into an NVLink control circuit of a host GPU, collects and counts traffic features of multiple NVLink ports within a preset time window, and judges whether a triggering condition is met based on correlation measurement values between the ports. When the correlation measurement values exceed a preset threshold, delay control is preferentially exerted on control type transactions, atomic transactions and other time delay sensitive transactions in a target port. The application adopts a random bit sequence mapping mode to generate delay strength, and randomly implements non-uniform communication delay without analyzing communication content, so that communication time delay in a multi-GPU cooperative calculation process is increased and overall execution efficiency of the system is reduced.

The invention discloses a campus consumption account state intelligent management system based on multi-terminal synchronous verification, and relates to the technical field of consumption intelligent management. The campus consumer account state intelligent management system based on multi-terminal synchronous verification comprises an acquisition and preprocessing module used for preprocessing receipt data and queue data; the off-line window batch return constraint module performs to-be-verified batch division and return path shunting control; the three-timestamp cross-end time sequence mapping consistency verification module is used for carrying out sequence suggestion output and freezing control; the sequential output control and freezing and unfreezing module is used for performing freezing maintenance, unfreezing release and window adjustment control; and the verification receipt and evidence packet filing module is synchronized to perform packaging and versioning preservation. The problems that in the prior art, after offline, account entering is conducted in batches according to the receiving sequence, and a time sequence mapping and consistency verification mechanism of generation time, uploading time and processing time is not established, so that order dislocation is caused, and balance back calculation conflicts and account checking deviations are caused are solved.

This invention relates to the field of artificial intelligence project management and evaluation technology, specifically to an intelligent management and evaluation method for science and technology innovation projects based on an AI knowledge base. The method includes: constructing an AI knowledge base in the science and technology innovation field and acquiring multi-dimensional knowledge-enhanced feature vectors for projects; simultaneously reasoning on dimensions such as technology maturity, market fit, team collaboration efficiency, and risk assessment; introducing a state inversion algorithm to retrieve path data of similar historical success and failure cases; and reverse-deriving core decisions and key event sequences. Through an inference computing engine, this sequence is positively mapped to the current and future states of the target project, inferring development paths and potential bottlenecks, dynamically correcting the inference results of each dimension, and generating comprehensive evaluation indicators and risk warning signals. This invention achieves dynamic tracing and prediction of project evaluation through state inversion and sequence mapping, improving the accuracy and foresight of science and technology innovation project management and evaluation.

The invention relates to the technical field of intelligent file management, in particular to an intelligent file management method and system based on micro-service and cloud native architecture, which comprises the following steps: acquiring a file access record and constructing an access path, counting permission node frequency and sequence to generate a sorting list, and dividing processing intervals to form sequence mapping. And identifying continuous operation to generate a continued path, and integrating the path and the permission sequence to generate a management list. According to the method, the access track is constructed by extracting the visitor identifier and the file position identifier, the sorting result is generated by combining the time sequence and the frequency of the permission nodes, the processing interval is divided to determine the front-back relation, and the access link is formed by associating operation behaviors such as reading, modifying and closing, so that the unified organization of the permission checking sequence and the access path is realized; the path coordination and the processing coherence are improved, the splitting between permission verification and file operation is reduced, and the flow adaptation capability and the scheduling stability in a complex access scene are enhanced.

A method for block-wise sequence mapping of a demodulation reference signal of control resource sets of a serving cell is presented. The method is performed by a user equipment and comprises determining a common reference point for the control resource sets, wherein the common reference point is a lowest subcarrier of a common control resource set, determining a demodulation reference signal sequence to resource elements mapping of the control resource sets based on the common reference point, wherein the sequence mapping is defined block-wise for blocks of a number of demodulation reference signal sequence elements alternately mapped in direction of increasing and / or decreasing subcarrier indexes, and receiving and decoding a physical downlink control channel based on the determined demodulation reference signal sequence to resource elements mapping. A user equipment configured accordingly is also presented as well as a related method for a base station and a base station.

The invention belongs to the technical field of vehicle-mounted networks, and discloses a 10BASE-T1S network fault rapid positioning method and system, and the method comprises the steps: constructing a fault management sub-layer which comprises a master node and slave nodes; the master node receives health frames sent by the slave nodes according to a preset period, and the master node constructs a node sequence mapping table when receiving the health frames; determining a fault suspicious interval according to the fault initial judgment result; the sequence breakpoint analysis comprises single node breakpoint analysis, continuous node breakpoint analysis and sequence jump anomaly analysis; determining a target fault node; determining a fault node type to which the target fault node belongs based on a self-checking feedback result; and executing a hierarchical recovery strategy according to the fault node type. According to the method, the fault type is accurately judged, the troubleshooting efficiency is high, the fault recovery does not need manual intervention, the bandwidth occupation is small, and the problems that the fixed polling frequency is adopted and the bandwidth occupation is uncontrollable are avoided.

The invention relates to the technical field of elastic optical networks, and discloses a service function chain mapping method based on resource association and a readable storage medium, and the method comprises the steps: obtaining the shortest path distance between any two data center nodes based on data center nodes and optical fiber links in an elastic optical network, and constructing a mapping auxiliary graph; based on a current to-be-mapped service function chain, sequentially determining a mapping sequence of virtual network functions from a request initiating end to a request receiving end, and mapping by adopting an in-sequence mapping principle; on the basis of the remaining available computing resources of the available nodes, the number of available spectrum slots and the shortest path distance between the available nodes and the starting node, the resource association degree of each available node is constructed; in the mapping process, after each virtual network function is mapped, the resource association degree needs to be calculated for all the available nodes once, so that the data center node with the maximum resource association degree is selected from the available nodes to bear the virtual network function needing to be mapped currently, and the probability of successful mapping of the service function chain is further improved.

The invention discloses an aircraft flutter boundary rapid prediction method based on a sequence-to-sequence model, and relates to the technical field of aircraft flutter boundary prediction. According to the method, the capturing capability of a GRU neural network on time sequence features, the focusing effect of an additive and dot product attention mechanism on key coupling features and the sequence mapping advantage of a sequence-to-sequence model are fused, and the dynamic time sequence data is effectively processed by a sliding window mechanism and the model training stability is guaranteed by a gradient truncation mechanism; compared with a traditional fluid-solid coupling simulation method, the fluid-solid coupling simulation method has the advantages that the structure motion law of pneumatic and structure coupling and the time sequence dependency relationship of unsteady aerodynamic force can be accurately learned, flutter boundary prediction results under different flow working conditions can be quickly generated, the prediction efficiency is greatly improved, meanwhile, the prediction precision and model robustness are ensured, and the method is suitable for large-scale popularization and application. The method can effectively adapt to the flutter boundary rapid evaluation requirement under the complex flow working condition of an aircraft.

The invention discloses a metal wire explosion circuit breaker parameter setting method and system based on a generative adversarial network, and the method comprises the steps: obtaining the maximum pressure needed by the breaking of a contact of a circuit breaker, inputting the maximum pressure into a trained pressure sequence mapping model, and outputting the pressure of the metal wire explosion circuit breaker at each moment; the energy conversion efficiency of the metal wire explosion circuit breaker is calculated according to the environment parameters, the electricity-heat conversion efficiency of the pulse capacitor and the heat-mechanical conversion efficiency of the metal wire explosion circuit breaker; calculating the energy required by the breaking contact according to the pressure intensity at each moment, and calculating the pre-charging voltage of the pulse capacitor according to the energy required by the breaking contact and the energy conversion efficiency; and carrying out a breaking experiment, and if the breaking time of the contact is greater than or equal to a set first breaking time threshold value, updating the maximum pressure required by the breaking of the contact of the corresponding metal wire explosion circuit breaker. According to the invention, the dynamic change of the pressure intensity of the contact can be efficiently learned from historical data, so that the parameter setting process of the metal wire explosion circuit breaker is more accurate.

The invention relates to the field of data processing, in particular to a system and method based on behavior sequence mapping and collaborative reasoning. The behavior serialization unit is used for serializing user interaction into a structured behavior sequence containing an operation object identifier; the training data automatic construction unit is used for generating an initial operation suggestion based on the sequence, capturing a user modification operation sequence, and mapping and generating reinforcement learning preference pair data according to the modification sequence; and the model optimization unit is used for optimizing agent model parameters for the data according to the preferences. And the optimized agent model works in a collaborative reasoning mode, a task framework is generated by the planning model, and the decision model fills specific identifiers for operation object parameter slots in the framework based on a structured behavior sequence. In this way, training data is automatically constructed from natural interaction of the user at low cost, and the output stability and decision accuracy of the intelligent agent in the vertical field task are improved through collaborative reasoning.

The embodiment of the invention provides a consumable chip identification method and device, a chip, equipment and a storage medium, and the method comprises the steps: starting timing under the condition that a preset level signal sent by image forming equipment is detected, and querying the stored preset sending time; determining target pulse sequence information based on the stored consumable attribute information and a preset sequence mapping relation; and when the timing time reaches the preset sending time, sending a target pulse sequence corresponding to the target pulse sequence information to the image forming equipment, so that the image forming equipment identifies the consumable chip based on the target pulse sequence to obtain an identification result, and feeds back the identification result. According to the scheme, the consumable chip can be quickly identified without waiting for establishment of an encrypted communication channel, the identification time consumption is reduced, and the identification efficiency is improved.

The invention relates to the technical field of simulation training, in particular to a building construction process dynamic visualization practical training system based on augmented reality, which comprises a component identification matching module, a component contact judgment module, a component identification matching module, a component identification matching module, a component identification matching module and a component contact judgment module, the layer response adjusting module switches a support-free component refreshing mode and adjusts the level, the path guide turning module calculates a vector difference value to correct a guide line direction, and the practical training picture fusion module determines layer stacking and binds text synchronous rendering to generate a visual practical training content set. According to the method, geometric morphology is recognized through edge arrangement and serial numbers are bound, assembly sequence mapping is established, contact areas are analyzed to construct a coordinate system, the layer level and the refreshing mode are dynamically adjusted according to support changes, a vector trend is extracted to correct a guide path, and guide and prompt characters are synchronously overlaid to achieve multi-source fusion rendering. And the response consistency, the guiding effectiveness and the task execution continuity are improved.

The application provides a diffusion model-oriented generative image watermark processing method. It relates to the fields of artificial intelligence and information security technology, and in particular to the fields of artificial intelligence generated content and digital watermark technology. The method comprises the following steps: encoding watermark information to obtain a bit sequence of the watermark information; determining a dual-purpose key based on the bit sequence mapping and a preset shared redundant bit string; converting the shared redundant bit string into initial latent noise by pseudo-random scrambling and distribution-preserving sampling based on the dual-purpose key; and inputting the initial latent noise into a diffusion model to generate a target watermark image embedded with the watermark information in combination with a generation condition.

The application provides a bracelet closed-loop control method and system based on dynamic behavior coding, relates to the technical field of behavior monitoring, and the method comprises the following steps: binding user identity information and bracelet data, configuring initial dynamic coding, and activating an electronic fence; interacting with bracelet data; identifying a dynamic behavior state; when the dynamic behavior state reaches a preset threshold, resetting the dynamic coding for cutting off the association of historical record data; when the dynamic positioning area exceeds the electronic fence, sending a forced coding reset instruction to freeze the coding; based on the configuration timing of the dynamic coding, establishing a behavior coding chain, binding physical examination data for sequence mapping and summarizing, and generating a detection data report. The application solves the technical problem that, in the prior art, due to the lack of whole-process identity verification in the physical examination process, it is difficult to identify cheating behaviors such as proxy examination and bypass examination, and through the generation and dynamic updating of behavior coding, whole-process closed-loop control is achieved, and cheating behaviors are avoided.

The invention relates to the technical field of robot intelligent control and machine vision, and discloses a robot binocular vision motion mapping method and system, and the method comprises the steps: generating scene perception data containing the three-dimensional information of a target object and joint points of two arms of a human body based on the obtained binocular vision input information and a current operation task instruction; extracting space-time motion features of joint points of two arms of the human body from the scene perception data; and the task-related visual features in the scene perception data are fused with the space-time motion features to obtain fused features, and the fused features are mapped into corresponding robot joint motion tracks through a sequence mapping model. Therefore, the robot motion mapping accuracy and flexibility can be improved.

The present disclosure provides an information acquisition method and apparatus, an information transmission method and apparatus, a terminal, and a network device The information acquisition method comprises: acquiring generation information and / or a sequence mapping relationship of a target sequence, the target sequence comprising a first sequence and a second sequence, and the sequence mapping relationship comprising at least one of the following: a sequence time-domain mapping relationship, and a sequence frequency-domain mapping relationship; receiving a first signal on the basis of the generation information and / or the sequence mapping relationship; and acquiring target indication information on the basis of the first signal, the target indication information comprising: wake-up indication information and / or transmission indication information. The first signal is jointly generated by the first sequence and the second sequence, the first signal being used for waking up a terminal and / or triggering the terminal to receive a signal transmitted by a network device. The first sequence is a sequence generated by means of an OFDM waveform, and the second sequence is a sequence generated by means of a target waveform.

A method for block-wise sequence mapping of a demodulation reference signal of control resource sets of a serving cell is presented. The method is performed by a user equipment and comprises determining a common reference point for the control resource sets, wherein the common reference point is a lowest subcarrier of a common control resource set, determining a demodulation reference signal sequence to resource elements mapping of the control resource sets based on the common reference point, wherein the sequence mapping is defined block-wise for blocks of a number of demodulation reference signal sequence elements alternately mapped in direction of increasing and / or decreasing subcarrier indexes, and receiving and decoding a physical downlink control channel based on the determined demodulation reference signal sequence to resource elements mapping. A user equipment configured accordingly is also presented as well as a related method for a base station and a base station.

A preamble sequence mapping method and a terminal are provided. The method includes: determining, by a terminal according to a rule for sorting T second preamble sequences, a target index of a second preamble sequence. The T second preamble sequences are all or some of sequences obtained after the terminal performs code-division on M first preamble sequences by using Q Orthogonal Cover Codes (OCCs). The method further includes establishing, by the terminal based on the target index of the second preamble sequence, mapping to a Synchronization Signal and Physical Broadcast Channel block (SSB). Q is an integer greater than or equal to 1. M is an integer greater than or equal to 1. T is an integer greater than or equal to 2.

Disclosed are methods, systems, and computer-readable medium to perform operations including generating a low-power wake-up signal (LP WUS) having a first portion of information bits carried by one or more orthogonal frequency-division multiplexing (OFDM) symbols via modulation based on multi-carrier on / off keying (MC-OOK) and a second portion of information bits carried by a bit-to sequence mapping on the one or more OFDM symbols; and transmitting, to a set of one or more user equipment devices (UEs), the generated LP WUS.

The application provides a low-voltage active power distribution network user phase sequence identification and control method based on carrier communication, and relates to the technical field of low-voltage power distribution network power quality treatment. First, a special carrier communication network is arranged in a low-voltage power distribution area to be identified, and operation parameter data of the power distribution area are synchronously collected based on the network; after the data are pretreated, a voltage-power phase sequence mapping model is constructed; the model is trained by using the pretreated data, and a phase sequence mapping matrix is extracted from solidified parameters of the trained model; based on the matrix, the phase sequence categories to which all users belong are determined, and three-phase unbalance degrees are calculated; when the unbalance degrees exceed a preset threshold, a load adjustment scheme is generated, and the phase sequence categories to which the users belong are remotely adjusted by using the special carrier communication network. In the case that no additional prediction calculation is needed, the identification accuracy is improved, the efficiency and accuracy of user phase sequence identification are considered, and the control precision of user phase sequence control is improved.