Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Gas Chromatography: Types of Detectors-II

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Multi-omics profiling identifies HMGA2 fusions as defining a distinct and prognostically favorable subtype of dedifferentiated liposarcoma with rhabdomyosarcomatous differentiation.

Human pathology·2026

Same author

Discovery of novel Kir4.1 inhibitors based on serdemetan with potential therapy for glioblastoma-depression comorbidity.

Pharmaceutical science advances·2026

Same author

Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging.

Nano letters·2026

Same author

The role of mesenchymal stem cells in IgA nephropathy: current evidence and future directions.

Stem cell research & therapy·2026

Same author

Autologous Costal Cartilage Transplantation for Medial Osteochondral Lesions of the Talus: A Prospective Single-Arm Study With 2 Years of Follow-up.

JB & JS open access·2026

Same author

S100A8/A9: key regulatory factors in programmed cell death networks and disease progression.

Biochemical pharmacology·2026

Search research articles

Related Experiment Video

Updated: Jun 29, 2026

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Published on: May 5, 2016

Event recognition method based on feature synthesizing for a zero-shot intelligent distributed optical fiber sensor.

Yi Shi, Hanfang Liu, Wentao Zhang

|March 5, 2024

Summary

This study introduces a novel feature synthesis method for phase-sensitive optical time domain reflectometer (Φ-OTDR) systems. The approach enhances deep learning models to recognize events even without prior data samples, improving classification accuracy.

More Related Videos

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jun 29, 2026

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Published on: May 5, 2016

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Area of Science:

Distributed Optical Sensing
Signal Processing
Machine Learning

Background:

Phase-sensitive optical time domain reflectometer (Φ-OTDR) systems offer high accuracy and sensitivity for monitoring applications.
Deep learning excels at Φ-OTDR event recognition but requires substantial training data, which is often scarce.

Purpose of the Study:

To address the challenge of limited training data in Φ-OTDR event recognition.
To develop a novel feature synthesis approach for improving data-driven classification models.

Main Methods:

Proposed a mixed-class approach for feature synthesis.
Implemented a reinforcement learning-based guided training method for high-quality feature generation.
Evaluated the method on an eight-event classification task, including an unknown class.

Main Results:

Achieved 42% average classification accuracy for an unknown event class, successfully identifying its type.
Attained a 74% average overall classification accuracy.
Demonstrated significant improvements over ordinary instance synthesizing methods (29% and 7% higher).

Conclusions:

The proposed feature synthesis method enables Φ-OTDR systems to recognize specific events and their types without pre-collected data samples.
This marks a significant advancement in unsupervised event recognition for distributed optical sensing.