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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. SagnacAssisted Enhanced OTDR for Distributed Acoustic Sensing: A Standardized Benchmark and Engineering Evaluation Framework

    Researchers have developed a new Sagnac-assisted enhanced phase-sensitive optical time-domain reflectometry ($\phi$-OTDR) system to improve distributed acoustic sensing (DAS). This architecture addresses performance degradation issues like polarization-induced fading and environmental interference by using a Sagnac interferometer to supplement $\phi$-OTDR data. A standardized benchmark framework was also created to evaluate different event recognition models, with a dual-branch fusion model achieving 89.79% accuracy on a 10-km fiber with six acoustic event classes. AI

    IMPACT Introduces a novel sensing architecture and benchmark for acoustic event recognition, potentially improving performance in distributed sensing applications.