The mold infestation of buildings classified by Kohonen Self-Organizing Maps with boundaries determined by Ward clustering using multidimensional data from gas sensors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00382493" target="_blank" >RIV/68407700:21110/24:00382493 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1088/1742-6596/2911/1/012019" target="_blank" >http://dx.doi.org/10.1088/1742-6596/2911/1/012019</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/2911/1/012019" target="_blank" >10.1088/1742-6596/2911/1/012019</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The mold infestation of buildings classified by Kohonen Self-Organizing Maps with boundaries determined by Ward clustering using multidimensional data from gas sensors

Popis výsledku v původním jazyce

Mold infestation of buildings occurs when the moisture content of partitions increases, and is a significant problem in building operation. This problem is substantial in terms of architecture and building construction, residents' health and aesthetic reasons. There are numerous methods of evaluating mold infestation, among them important ones include traditional biological, molecular microbiological, and chemical techniques. One of the newer methods is application of gas sensors arrays, which form an electronic nose when combined with a properly chosen data analysis algorithm. The critical issue connected with correct functioning of an electronic nose is selection of the appropriate mathematical model enabling interpretation and visualization of the results – multidimensional signals originating from sensors array. In this work a Kohonen Self-Organizing-Map with hexagonal topology was used for presenting the similarity between measurements of buildings that are in different stages of mold infestation, as well as reference sample of clean air and decayed timber. On the two-dimensional visualization of Kohonen map, the boundaries created by applying the hierarchical Ward clustering method were superimposed. This procedure allowed showing which observation would be assigned to which clusters connected with level of mold infestation.

Název v anglickém jazyce

The mold infestation of buildings classified by Kohonen Self-Organizing Maps with boundaries determined by Ward clustering using multidimensional data from gas sensors

Popis výsledku anglicky

Mold infestation of buildings occurs when the moisture content of partitions increases, and is a significant problem in building operation. This problem is substantial in terms of architecture and building construction, residents' health and aesthetic reasons. There are numerous methods of evaluating mold infestation, among them important ones include traditional biological, molecular microbiological, and chemical techniques. One of the newer methods is application of gas sensors arrays, which form an electronic nose when combined with a properly chosen data analysis algorithm. The critical issue connected with correct functioning of an electronic nose is selection of the appropriate mathematical model enabling interpretation and visualization of the results – multidimensional signals originating from sensors array. In this work a Kohonen Self-Organizing-Map with hexagonal topology was used for presenting the similarity between measurements of buildings that are in different stages of mold infestation, as well as reference sample of clean air and decayed timber. On the two-dimensional visualization of Kohonen map, the boundaries created by applying the hierarchical Ward clustering method were superimposed. This procedure allowed showing which observation would be assigned to which clusters connected with level of mold infestation.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

<a href="/cs/project/GA22-00420S" target="_blank" >GA22-00420S: Funkční charakteristiky a environmentální dopad vápenných omítek s přírodními přísadami pro rekonstrukce historických budov</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Journal of Physics: Conference Series 2911

ISBN

—

ISSN

1742-6588

e-ISSN

1742-6596

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IOP Publishing Ltd.

Místo vydání

Bristol

Místo konání akce

Miskolctapolca

Datum konání akce

4. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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