Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Spinal nerve root IgG4-related inflammatory pseudotumor mimicking a malignant spinal tumor: a case report.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2026
Same author

Cortex Mori Radicis Mitigates Inflammation and Fibrosis in Pulmonary Fibrosis Through PI3K/AKT Pathway Suppression.

Canadian respiratory journal·2026
Same author

<i>Duganella kummerowiae</i> sp. nov., a new bacterium isolated from root nodule of <i>Kummerowia striata</i>.

International journal of systematic and evolutionary microbiology·2026
Same author

Efficacy of stem cell therapy for achilles tendon rupture: a systematic review and meta-analysis based on animal studies.

Frontiers in bioengineering and biotechnology·2026
Same author

Correlation analysis of surgical outcomes and preoperative psychological status in adolescents with polydactyly/syndactyly.

Journal of orthopaedic surgery and research·2026
Same author

Elevated lactate dehydrogenase-to-albumin ratio: a novel and independent predictor of ventricular aneurysm in STEMI patients.

Frontiers in endocrinology·2026

Related Experiment Video

Updated: Dec 29, 2025

Label-free Single Molecule Detection Using Microtoroid Optical Resonators
08:53

Label-free Single Molecule Detection Using Microtoroid Optical Resonators

Published on: December 29, 2015

9.6K

Multi-Parameter Sensing in a Multimode Self-Interference Micro-Ring Resonator by Machine Learning.

Dong Hu1, Chang-Ling Zou2, Hongliang Ren1

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|February 5, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-parameter sensing scheme using a self-interference micro-ring resonator (SIMRR). This approach enables accurate detection of multiple parameters, offering a promising platform for advanced sensing applications.

Keywords:
artificial neuron networkdissipative sensingmachine learningmultimode sensingmultiparameter sensingself-interference micro-ring resonator (SIMRR)

More Related Videos

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
14:18

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

11.8K
Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.7K

Related Experiment Videos

Last Updated: Dec 29, 2025

Label-free Single Molecule Detection Using Microtoroid Optical Resonators
08:53

Label-free Single Molecule Detection Using Microtoroid Optical Resonators

Published on: December 29, 2015

9.6K
Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
14:18

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

11.8K
Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.7K

Area of Science:

  • Photonics and Optical Sensing
  • Applied Physics
  • Machine Learning in Sensing

Background:

  • Traditional resonators face limitations in multi-parameter sensing and frequency noise susceptibility.
  • Processing complex multi-mode spectra often requires cumbersome analytical solutions.
  • Existing single-mode sensing methods, like whispering gallery mode (WGM) resonators, have limitations.

Purpose of the Study:

  • To propose a universal multi-parameter sensing scheme utilizing a self-interference micro-ring resonator (SIMRR).
  • To demonstrate a two-parameter sensing strategy capable of processing multi-mode spectra.
  • To evaluate the feasibility and effectiveness of the proposed sensing approach numerically.

Main Methods:

  • Development of a self-interference micro-ring resonator (SIMRR) with an intensity sensing mechanism.
  • Application of machine learning algorithms for processing multi-mode spectra dependent on multiple parameters.
  • Numerical verification of a two-parameter SIMRR sensor, considering wavelength-dependent refractive indices of gases.

Main Results:

  • The SIMRR scheme allows multimode sensing across a wide wavelength range, immune to frequency noise.
  • Numerical simulations confirm the feasibility and effectiveness of the two-parameter sensing strategy.
  • The study investigated the impact of laser intensity noise on parameter estimation accuracy.

Conclusions:

  • The proposed multi-parameter sensing scheme in a multimode SIMRR demonstrates significant potential for practical, high-sensitive sensing platforms.
  • This approach offers advantages over single-mode sensing methods, particularly in complex sensing scenarios.
  • The use of machine learning effectively processes complex spectral data, overcoming limitations of traditional analytical methods.