7 results about "Robust analysis" patented technology

The invention discloses a text-to-instruction system based on fuzzy pinyin matching and parameter robust analysis. The text-to-instruction system comprises an input preprocessing module, a text-to-instruction conversion module and a text-to-instruction conversion module, the fuzzy pinyin matching module is used for uniformly transferring the standardized text and a pre-stored instruction template into a silent pinyin sequence, and constructing a weighted editing distance matrix based on a preset pinyin character replacement cost; the parameter alignment search module is used for executing beam search on the weighted editing distance matrix and outputting a plurality of candidate matching paths with the minimum cost and a corresponding parameter fragment set; the parameter robust distribution module is used for performing legality and consistency checking on parameters in the candidate matching paths, completing parameter standardization and performing error correction in combination with a parameter candidate dictionary; the instruction output module is used for encoding the template identifier and the parameter key value pair obtained through robust distribution into a structured instruction and outputting the structured instruction; according to the method, text-to-instruction conversion can be completed in real time.

The invention discloses a test data acquisition method and system based on dynamic configuration of multi-protocol equipment, and relates to the technical field of data acquisition. Establishing a session and sampling a message interval and round-trip delay in cold start; sending, waiting and reading are executed according to the process; self-adaptive adjustment waiting and timeout of the protocol breathing marks are calculated; generating a channel echo flux based on the gating residual error and performing layered expansion or rollback; original data codes are unified, and framing and line cutting enqueueing are carried out; driving analysis and rollback by using the flexibility of the message skeleton; and performing variable templating to generate a report and performing idempotent storage. The consistency and traceability of results are ensured by establishing a time sequence baseline, self-adaptive receiving and releasing waiting and timeout, layered congestion rollback and robust analysis and storage.

The invention discloses an index and weight combined water resource bearing capacity evaluation robustness analysis method, system and equipment and a medium. The method comprises the following steps: establishing a multi-dimensional evaluation index system according to a support index subset and a pressure index subset; querying index data of the research area in multiple years to form samples in multiple years, and calculating index weights by respectively adopting four weight calculation methods; constructing a disturbance scene, and calculating an annual water resource bearing capacity index of each year; in a disturbance scene, considering a plurality of disturbance factors, and executing sensitivity analysis to identify disturbance factors and indexes which have obvious influence on the water resource bearing capacity index; and carrying out robustness evaluation according to the distribution stability degree of the water resource bearing capacity index, and selecting a most robust weight calculation method and a corresponding robust disturbance scene. According to the method, the related problems of high subjectivity of an index system, single weight setting, insufficient uncertainty propagation mechanism and lack of quantitative judgment of robustness in the prior art are solved.

The invention discloses a Rust ecological CVE influence tracking method and system based on reverse dependency propagation and function call graph analysis. The method comprises the following steps: connecting a crate.io structured database by taking affected crates and version constraints as starting points, selecting a boundary version meeting a semantic version condition as an analysis source, downloading according to levels by adopting a breadth-first reverse dependency traversal strategy, and unpacking a dependency version in an isolated working area, a parent dependency is automatically injected in a local copy form, and an accurate version is locked through a dependency coverage mechanism of a configuration file, so that reproducibility and offline robust analysis of a revoked version are ensured. The method also supports independent operation of CSV batch task processing and statistics, and has automatic log separation and process-level result traceability. According to the method, the supply chain vulnerability propagation analysis complexity is reduced, and the reproducibility, observability and performance of analysis are improved.

The invention relates to the technical field of intelligent traffic and urban management, and particularly discloses an intelligent inspection and management and control system for barrier-free facilities of roads and municipal roads based on AI visual identification. The system comprises a multi-source data acquisition module, a geographic information fusion and specification adaptation module, a multi-modal AI visual analysis engine, a dynamic decision and control instruction generation module and a full-process closed-loop management module. By dynamically matching geographic information and normative standards, fusing multi-modal data to carry out robustness analysis, and automatically generating a hierarchical management and control instruction and a block chain evidence storage closed loop based on an abnormal level, high-precision and self-adaptive intelligent inspection and full-process traceable management and control of the barrier-free facility state of the highway and the municipal road are realized. According to the system, a traditional fixed threshold judgment mode is thoroughly changed by constructing a multi-level normative knowledge graph and dynamically fusing the multi-level normative knowledge graph with real-time geographic positioning.

The process comprises the steps of: - providing (E1) algorithms configured to determine a theoretical motion sickness intensity; - processing (E3) data with each algorithm to deduce a theoretical motion sickness intensity and an associated statistical robustness; - analyzing (E5) said theoretical motion sickness intensities and statistical robustness to deduce a most probable motion sickness intensity and an associated probability; - deducing (E6) from said most probable intensity a measure to be taken against motion sickness; and - monitoring (E7, E8) the implementation of said measure as a function of said associated probability. Figure for the abstract: Fig 2

This invention discloses a method and system for analyzing the state of small industrial models using dual transfer learning, belonging to the field of industrial equipment state analysis technology. The method includes: constructing a set of state segments arranged in time window order by uniformly aligning and segmenting multi-channel time-series data generated during industrial equipment operation; mapping each state segment to a set of equipment operating state feature vectors; generating a target state representation vector set based on the set of equipment operating state feature vectors; performing dual transfer alignment calculations on the source and target state representation sets, and constraining the state representations with numerical alignment results; performing a confidence-based adaptive update calculation on the target state representation vector set, and outputting the final state representation result. This invention achieves robust analysis and cross-device adaptation of equipment operating states, significantly improving the stability, transferability, and engineering applicability of state representations.