Evidence map›Paper›PMID 39205002›Full record

ArticleSensors (Basel, Switzerland)2024

Low-Cost Efficient Wireless Intelligent Sensor (LEWIS) for Research and Education.

Mahsa Sanei, Solomon Atcitty, Fernando Moreu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

3 authors.

Mahsa SaneiDepartment of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA.ORCID 0000-0002-8373-8806
Solomon AtcittyDepartment of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA.ORCID 0000-0003-4943-4638
Fernando MoreuDepartment of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA.ORCID 0000-0002-7105-7843

Funding

Federal Railway Administration (FRA) 693JJ621C000010Fulbright Foundation P019A220016National Science Foundation 2123346National Science Foundation 2133334NIEHS NIH HHS 27307C0010United States Department of Transportation 69A3551747106
6 · The paper itself

Abstract

Sensors have recently become valuable tools in engineering, providing real-time data for monitoring structures and the environment. They are also emerging as new tools in education and training, offering learners real-time information to reinforce their understanding of engineering concepts. However, sensing technology's complexity, costs, fabrication and implementation challenges often hinder engineers' exploration. Simplifying these aspects could make sensors more accessible to engineering students. In this study, the researcher developed, fabricated, and tested an efficient low-cost wireless intelligent sensor aimed at education and research, named LEWIS1. This paper describes the hardware and software architecture of the first prototype and their use, as well as the proposed new versions, LEWIS1-β and LEWIS1-γ, which simplify both hardware and software. The capabilities of the proposed sensor are compared with those of an accurate commercial PCB sensor. This paper also demonstrates examples of outreach efforts and suggests the adoption of the newer versions of LEWIS1 as tools for education and research. The authors also investigated the number of activities and sensor-building workshops that have been conducted since 2015 using the LEWIS sensor, showing an increasing trend in the excitement of people from various professions to participate and learn sensor fabrication.

Indexed as

data collectioneducationlow-cost sensormeasurementreal-time monitoring

Identifiers

PMID39205002
PMCPMC11359020

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.