Embedded System Prototype to Fight Covid-19 Pandemic Contamination with Less Cost.

H E Adardour, M Hadjila, S M H Irid, M H Hachemi, M Benikhlef, I Benotmane

Abstract read

In one paragraph

Article in Wireless personal communications, 2021. 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

6 authors.

H E AdardourDepartment of Electronics, Faculty of Technology, University Hassiba Benbouali, Chlef, Algeria.ORCID 0000-0001-7112-5765

M HadjilaDepartment of Telecommunications, Faculty of Technology, University Abou Bakr Belkaid, Tlemcen, Algeria.

S M H IridDepartment of Telecommunications, Faculty of Technology, University Abou Bakr Belkaid, Tlemcen, Algeria.

M H HachemiDepartment of Electronics, Faculty of Electrical Engineering, University of Science and Technology of Oran, Mohammed Boudiaf (USTO-MB), Oran, Algeria.

M BenikhlefDepartment of Telecommunications, Faculty of Technology, University Abou Bakr Belkaid, Tlemcen, Algeria.

I BenotmaneDepartment of Telecommunications, Faculty of Technology, University Abou Bakr Belkaid, Tlemcen, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the shadow of the coronavirus (Covid-19) pandemic, the sterilization has become a major necessity for humans to avoid exponential Infection. In order to avoid touching contaminated surfaces, we develop an embedded system prototype, which allows the bottle or any other medium to pour the sterilization product without touching it. The human hands are detected using two sensors HC-SR04 and LM35. To overcome the stability problem due to the problem of sensor noise and enhance the system performance a Kalman filter algorithm is implemented to ensure stable hands detection. The efficiency of the prototype mounted on an Arduino board is checked. After the completion of the prototype, a comprehensive cost analysis is conducted.

Indexed as

ArduinoCovid-19Kalman filterSterilization bottle

Identifiers

PMID33850345

DOI10.1007/s11277-021-08429-9

PMCPMC8033557

What OpenQuestion holds

Textmetadata

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Registered trials

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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.