Evidence map›Paper›PMID 32012892›Full record

ArticleSensors (Basel, Switzerland)2020

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

Dong Hu, Chang-Ling Zou, Hongliang Ren, Jin Lu, Zichun Le, Yali Qin, Shunqin Guo, Chunhua Dong, Weisheng Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Multimode sensing based on optical microcavities.Frontiers of optoelectronics · 2023
    Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dong HuCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Chang-Ling ZouKey Lab of Quantum Information, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0003-2484-7292
Hongliang RenCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Jin LuCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Zichun LeCollege of Science, Zhejiang University of Technology, Hangzhou 310023, China.
Yali QinCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Shunqin GuoCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Chunhua DongKey Lab of Quantum Information, University of Science and Technology of China, Hefei 230026, China.
Weisheng HuState Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-6168-2688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A universal multi-parameter sensing scheme based on a self-interference micro-ring resonator (SIMRR) is proposed. Benefit from the special intensity sensing mechanism, the SIMRR allows multimode sensing in a wide range of wavelengths but immune from frequency noise. To process the multiple mode spectra that are dependent on multiple parameters, we adopt the machine learning algorithm instead of massive asymptotic solutions of resonators. Employing the proposed multi-mode sensing approach, a two-parameter SIMRR sensor is designed. Assuming that two gases have different wavelength dependence of refractive indices, the feasibility and effectiveness of the two-parameter sensing strategy are verified numerically. Moreover, the dependence of parameter estimation accuracy on the laser intensity noises is also investigated. The numerical results indicate that our scheme of multi-parameter sensing in a multimode SIMRR holds great potential for practical high-sensitive sensing platforms compared with the single-mode sensing based on whispering gallery mode (WGM) resonators.

Indexed as

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

Identifiers

PMID32012892
PMCPMC7039216

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.