Evidence map›Paper›PMID 39309945›Full record

ArticleHeliyon2024

Terminal sequence consistency verification method for small diameter abreast optical fibers based on computer vision.

Yan Wang, Lei Wang, Dalin Li, Yanchun Liang, Lan Huang, Haoming Da, Hui Yang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yan WangCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.
Lei WangCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.
Dalin LiCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.
Yanchun LiangSchool of Computer Science, Zhuhai College of Science and Technology, Zhuhai 519041, China.
Lan HuangCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.
Haoming DaCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.
Hui YangCollege of Computer Science and Technology, Jilin University, Changchun 130012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a kind of precision industrial equipment, small diameter abreast optical fibers are used for high-speed communication among functional nodes. The arrangement order at both terminals of the abreast optical fibers need to comply with communication protocols. In this paper, we propose an automatic terminal sequence consistency verification method based on computer vision. The Hue Saturation Value (HSV) color space is used for improving the image feature extraction capability. An abreast optical fiber sequence dictionary which converts the protocol logic into an input-output mapping table is provided to follow protocol confidentiality and improve inspecting speed. A light control baffle position adaptive algorithm is designed for improving the accuracy of optical fiber incident light control. The experimental results show that the method can achieve the conductivity inspection of 1 optical fiber every 50 seconds, and the inspection accuracy is over 96.5%, which generally improves the inspection efficiency by 45% compared with manual inspection.

Indexed as

Abreast optical fiberAutomatic detectionComputer visionTerminal sequence consistency

Identifiers

PMID39309945
PMCPMC11415708

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.