16 results about "Linear sequence" patented technology

The invention belongs to the technical field of communication protocol acquisition response, and discloses a method and a system for improving communication protocol acquisition response time, and the method comprises the following steps: obtaining basic information of all acquisition variables, generating an imported variable list according to the basic information, and sorting the imported variable list to obtain a sorted variable linear sequence; grouping the sorted variable linear sequences to obtain grouped variable sequences, and adaptively constructing a reading instruction set according to the grouped variable sequences; and performing communication protocol optimal request construction on the reading instruction set by a capacity constraint-based combinatorial optimization mechanism to obtain an optimal request group set, and improving the communication protocol acquisition response speed according to the optimal request group set. According to the method, the number of reading instructions of a communication protocol is remarkably reduced, the size of a communication protocol packet and the communication round-trip time are reduced, and therefore the data acquisition response speed of the programmable logic controller is effectively increased.

Performance of a collection of machines, arranged in a linear sequence of machines that form a linear communication orbit (LCO), is monitored. Multiple machines in the LCO receive, via the LCO, a set of rules (or various subsets of the same set of rules), each rule specifying one or a combination of conditions (e.g., a performance metric and corresponding criterion) for satisfying the rule, evaluate those rules with respect to locally occurring events and local processes, and store results of those evaluations in a local database. In response to a query sent to the machines via the LCO, each of the machines returns a report, including information identifying processes whose performance during the specified time period satisfies at least one rule in the set of one or more rules. Those reports are aggregated and used to generate a merged report reflecting performance information with respect to a set of machines.

A tower has an above ground portion and an embedded portion joined to the above ground portion. The above ground portion and the embedded portion have a respective plurality of modular sections where each respective modular section in each of the respective plurality of modular sections has a respective vertical height and a quadrilateral plan view cross section with equal plan view outer dimensions over the respective vertical height of the modular section. At least one lower modular section in the above ground portion comprises a stronger structure than a modular section that is above the at least one lower modular section. Each modular section in each of the respective plurality of modular sections has corner struts that are parallel to one another and modular sections in each of the respective plurality of modular sections are arranged in a linear sequence.

The invention discloses an optical fiber acceleration sensor test evaluation method and system based on feedback analysis, and the method comprises the steps: carrying out the test through deploying a plurality of optical fiber acceleration sensors at a target object, collecting a multi-dimensional vibration acceleration signal, and constructing a core parameter set; marking abnormal time periods through linear regression feedback analysis, and serializing abnormal parameters and acceleration results after screening overlapped abnormal time periods; nonlinear sequence points are positioned through nonlinear analysis, and finally abnormal sensors and corresponding parameters are screened through deviation analysis. According to the method, the accuracy and reliability of sensor test evaluation are improved, efficient technical support is provided for performance verification and troubleshooting of the optical fiber acceleration sensor, and the method is suitable for a test scene of the multi-array optical fiber acceleration sensor.

The invention discloses an AWG waveform compression transmission algorithm for quantum computing, and relates to the technical field of communication, and the method comprises the steps: S1, intercepting a target quantum waveform into a first type of wave band and a second type of wave band, and setting independent compression storage; s2, setting a segmented approximation algorithm to generate a first-order compression wave band; s3, performing similarity judgment on all first-order compression wavebands and screening out the first-order compression wavebands; s4, executing run-length coding compression on the screened first-order compression wave band, generating a second-order compression wave band, and performing unified packaging to complete target quantum waveform compression; wherein the waveform type of the first type of wave band comprises a constant sequence waveform, a linear sequence waveform and a repetitive sequence waveform. According to the method, through a staged processing strategy of segmenting, shunting and merging, the scale of data participating in complex operation is remarkably reduced, execution of high-complexity operation on total data is avoided, and the speed and efficiency of compression and decompression processing can be improved.

The invention provides a task scheduling method and system, electronic equipment and a storage medium. The method comprises the following steps: reconstructing a task directed acyclic graph into a parallel node segment model; the parallel node segment model comprises a linear sequence composed of a plurality of parallel node segments, each parallel node segment comprises a plurality of task nodes, and the task nodes correspond to tasks executed in parallel on different processor cores of the heterogeneous multi-core processor; and determining a target task scheduling execution sequence according to the linear sequence. According to the method, a task directed acyclic graph is reconstructed into a parallel node segment model, all task nodes in the same parallel node segment in a linear sequence in the parallel node segment model are scheduled to be executed in parallel, and different parallel node segments in the linear sequence are executed in sequence according to the sequence of the parallel node segments in the linear sequence. The tasks in the same parallel node segment can be scheduled to different processor cores for parallel execution, and different node segments depend on sequential serial execution, so that the task scheduling efficiency is improved.

The invention relates to a method for the computer-aided determination of a disassembly sequence (L) in the context of a maintenance process for a technical product (1) which is made up of a plurality of individual components (3-17). The method comprises the following steps: a) providing a data set (D) with a three-dimensional product geometry (G) of the technical product (1) which comprises a partial geometry for each of the individual components (3-17), b) selecting a component (10) to be maintained within the product (1), c) automatically determining at least one contact chain (K1, K2,...), wherein the respective contact chain (K1) represents a linear sequence of components (10, 9, 15, 16) in direct contact with one another, d) selecting at least one first subset (M1) of components which are in a common contact chain (K1, K2,...) with the component (10) to be maintained, e) automatically checking components of the first subset (M1) with regard to geometric accessibility and forming a second subset from the successfully checked components, f) automatically checking components of the second subset (M2) with regard to their movability and forming a third subset (M3), g) automatically checking components of the third subset (M3) with regard to their ability to be disassembled and forming a fourth subset (M4), h) simulating the disassembly of a component (16) of the fourth subset (M4) and updating the product geometry (G1) to the state of the product (1) formed thereby, wherein the steps e), f), g) and h) are carried out within a three-dimensional geometric simulation environment, wherein the steps d), e), f), g) and h) are repeatedly carried out on the basis of the respective current product geometry (G, G') within a loop (S) until the component (10) to be maintained is exposed, wherein a disassembly sequence (L) is defined by the sequence of individual disassembly measures in steps h).

This invention relates to the field of image processing technology, specifically to an image inpainting method based on wavelet-enhanced Mamba and multi-domain feature learning. In this invention, Discrete Wavelet Transform (DWT) is used to decompose image features into low-frequency and high-frequency sub-bands, achieving collaborative restoration of structure and texture in different frequency domains. An LFSC-Mamba module is designed for the low-frequency sub-band, combining Mamba's linear sequence modeling capability with a channel-space dual attention mechanism to achieve global structure reconstruction while maintaining linear computational complexity. An HFDP module is designed for the high-frequency sub-band, employing a dynamic filtering kernel generation strategy in the Fourier domain and combining it with a multi-head attention mechanism to achieve fine-grained synthesis of directional and pattern textures, significantly improving the realism and diversity of texture generation.

This invention relates to the field of semantic analysis technology, specifically to an output type-driven intelligent agent task construction method, comprising the following steps: In this invention, a graph attention network algorithm is invoked to parse a multi-dimensional floating-point matrix and calculate the normalized scalar between adjacent nodes, overcoming the bottleneck of context loss when linear sequence models handle long-distance complex task dependencies, thus improving the accuracy of structured representation of complex logical tasks. A finite state machine algorithm is invoked to scan nodes and remove thought labels, automatically repairing minor formatting flaws and converting probabilistically generated content into standard structured data, ensuring storage and retrieval stability. A confidence score parameter is extracted from a standard key-value serialized object, and a scalar difference between the score and the feedback benchmark is calculated and a compensation value is accumulated to obtain an advantage scalar. This drives the task construction rules to evolve with the business scenario, achieving autonomous parameter iteration and continuous performance improvement, maintaining a high level of execution efficiency.

This invention pertains to vehicle navigation and positioning technology, disclosing a method and system for autonomous vehicle navigation location identification based on LiDAR point clouds. The invention proposes an autonomous vehicle navigation location identification model that combines the local geometric statistical representation of normal distribution transformation with the linear sequence modeling capability of state-space models. This reduces the computational complexity and storage overhead of long sequence feature modeling while maintaining high-density scene geometric information. By constructing density-adaptive fixed-length NDT unit feature sequences, the consistency of input representations is improved. The robustness of location identification is enhanced by using a distributed statistical attention module to strengthen significant geometric structures and suppress redundancy and noise information. Efficient global topology modeling of large-scale NDT sequences is achieved through a bidirectional gated coding structure in the Mamba global coding module. This invention balances location identification accuracy, operational efficiency, and lightweight model requirements in complex road scenarios.

This invention relates to methods and systems for multi-interface transport gateway processing and linear sequence encoding. Systems and methods for multi-interface transport gateway processing, as well as systems, methods, and computer-readable media for utilizing linear sequence encoding schemes, are disclosed. In some embodiments, the system includes one or more vehicles, each vehicle including at least one vehicle gateway, a wireless communication interface, at least one management gateway communicating with the vehicle gateway of each vehicle via the at least one wireless communication interface, and one or more management servers communicating with each of the one or more vehicles via the management gateway, wherein the one or more management servers are configured to monitor or manage the status of each of the one or more vehicles. In some embodiments, linear sequence encoding schemes or other schemes may be used to encode communications to or from a computing device.

The application provides a kind of vehicle networking security audit method, system and storage medium based on feature decoupling and double-way mixed retrieval, method includes: step 1: receiving the natural language audit demand of user;Step 2: the query sentence is parsed using hybrid feature extractor, hard features are extracted from the parsed results by regular engine, and soft features are extracted from the parsed results by semantic classification;Step 3: double-way parallel retrieval strategy of vector retrieval channel and atlas retrieval channel is adopted;Step 4, correlation joint evaluation: the fact context formed by vector retrieval channel and the rule context formed by atlas retrieval channel are correlated and evaluated;Step 5: convert JSON topology into natural language linear sequence, and use adaptive pruning algorithm for dynamic pruning;Step 6: guide large model to execute logical judgment according to inference template, and generate structured security audit response report.The beneficial effect is: the proportion of effective information input into the model is improved.

The application relates to the technical field of digital teaching system, and discloses an interactive teaching system of digital teaching materials, which is combined with knowledge graph and artificial intelligence auxiliary decision technology and comprises a knowledge node database based on knowledge graph construction, a content presentation unit and a teaching path dynamic branching unit with an embedded artificial intelligence recommendation model. The teaching path dynamic branching unit is used for responding to a node switching request of a learner, inquiring the knowledge node database, dynamically generating a micro teaching guidance interface containing supporting teaching options and linear regular teaching options according to logical association in the graph, providing non-mandatory auxiliary decision suggestions through the intelligent recommendation model, and redirecting the content presentation unit according to active selection of the learner on the interface. The application changes the regular page turning operation into a teaching path selection event actively participated in by the learner, changes the content supply from a fixed linear sequence into a dynamic branching structure, and avoids cognitive hindrance.

The invention relates to the technical field of digital teaching systems, and discloses an interactive teaching system of a digital teaching material, which integrates a knowledge graph and an artificial intelligence auxiliary decision making technology, and comprises a knowledge node database constructed based on the knowledge graph, a content presentation unit and a teaching path dynamic branch unit with a built-in artificial intelligence recommendation model, and the teaching path dynamic branch unit is used for responding to a node switching request of a learner, querying a knowledge node database, dynamically generating a micro teaching guide interface containing supportive teaching options and linear conventional teaching options according to logic association in a graph, and providing non-mandatory auxiliary decision suggestions through an intelligent recommendation model. According to the method, a conventional page turning operation is converted into a teaching path selection event in which the learner actively participates, so that content supply is converted into a dynamic branch structure from a fixed linear sequence, and cognitive impediment is avoided.

The invention discloses an audio information reconstruction system and method based on visual vibration analysis, and the system comprises a high-speed signal collection module which is used for collecting a vibration video of a target object through a high-speed camera; the vibration preprocessing module is used for graying, stabilizing and selecting a region of interest of the video sequence; the optical flow calculation module is used for calculating a motion vector between continuous frames and generating time sequence data; the Mama-based audio reconstruction network module is used for reconstructing the optical flow sequence into an audio waveform; and the post-processing and output module is used for carrying out splicing, normalization and format conversion on the audio. According to the method, the time sampling precision is guaranteed through the high-speed camera, the motion measurement precision is guaranteed through optical flow calculation, the long sequence modeling precision is guaranteed through the Mama model, end-to-end high-quality audio reconstruction is achieved through fusion of the three parts, and high robustness is achieved for illumination changes, shadows and noise.