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Analysis and Characterization of a Moisture Sensor for South-American Wood Species

  • University of Oklahoma
  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This article outlines the analysis and characterization of a moisture sensor designed specifically for wood species, including uncommon ones not found in Europe and North America. The profiling of these varieties has been devised to gauge the moisture levels within a wooden specimen through the utilization of a non-intrusive capacitance sensor, deriving values from the inherent dielectric characteristics of the material. Diverse wood species underwent thorough characterization, and a proposed multiple regression model aims to facilitate the precise calibration of the sensor concerning South American timber varieties and other uncommon species not found in Europe and North America.

Original languageEnglish
Title of host publicationProceedings of 9th International Congress on Information and Communication Technology - ICICT 2024
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages273-282
Number of pages10
ISBN (Print)9789819733040
DOIs
StatePublished - 2024
Event9th International Congress on Information and Communication Technology, ICICT 2024 - London, United Kingdom
Duration: 19 Feb 202422 Feb 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1004 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Congress on Information and Communication Technology, ICICT 2024
Country/TerritoryUnited Kingdom
CityLondon
Period19/02/2422/02/24

Keywords

  • Capacitance
  • Inter-digital sensor
  • Moisture
  • Multiple regression model
  • Wood

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