Evidence map›Paper›PMID 32908473›Full record

ArticleComputational intelligence and neuroscience2020

A Study of Modified Infotaxis Algorithms in 2D and 3D Turbulent Environments.

Shurui Fan, Dongxia Hao, Xudong Sun, Yusuf Mohamed Sultan, Zirui Li, Kewen Xia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational intelligence and neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Shurui FanTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID https://orcid.org/0000-0002-0091-4182
Dongxia HaoTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
Xudong SunTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
Yusuf Mohamed SultanTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
Zirui LiTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
Kewen XiaTianjin Key Laboratory of Electronic Materials Devices, School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency response to hazardous gases in the environment is an important research field in environmental monitoring. In recent years, with the rapid development of sensor technology and mobile device technology, more autonomous search algorithms for hazardous gas emission sources are proposed in uncertain environment, which can avoid emergency personnel from contacting hazardous gas in a short distance. Infotaxis is an autonomous search strategy without a concentration gradient, which uses scattered sensor data to track the location of the release source in turbulent environment. This paper optimizes the imbalance of exploitation and exploration in the reward function of Infotaxis algorithm and proposes a mobile strategy for the three-dimensional scene. In two-dimensional and three-dimensional scenes, the average steps of search tasks are used as the evaluation criteria to analyze the information trend algorithm combined with different reward functions and mobile strategies. The results show that the balance between the exploitation item and exploration item of the reward function proposed in this paper is better than that of the reward function in the Infotaxis algorithm, no matter in the two-dimensional scenes or in the three-dimensional scenes.

Indexed as

RoboticsAlgorithms

Identifiers

PMID32908473
PMCPMC7468623

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.