Fast identification of biominerals by means of stand-off laser-induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F12%3A00061351" target="_blank" >RIV/00216224:14740/12:00061351 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26620/12:PU98815

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0584854712001279" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0584854712001279</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.sab.2012.05.010" target="_blank" >10.1016/j.sab.2012.05.010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fast identification of biominerals by means of stand-off laser-induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

Popis výsledku v původním jazyce

The goal of this paper is to compare two selected statistical techniques used for identification of archeological materials merely on the base of their spectra obtained by stand-off laser-induced breakdown spectroscopy(stand-off LIBS). Data processing using linear discriminant analysis (LDA) and artificial neural networks (ANN) were applied on spectra of 18 different samples, some of them archeological and some recent, containing 7 types of material (i.e. shells, mortar, bricks, soil pellets, ceramic, teeth and bones). As the input data PCA scores were taken. The intended aim of this work is to create a database for simple and fast identification of archeological or paleontological materials in situ. This approach can speed up and simplify the samplingprocess during archeological excavations that nowadays tend to be quite damaging and timeconsuming.

Název v anglickém jazyce

Fast identification of biominerals by means of stand-off laser-induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

Popis výsledku anglicky

The goal of this paper is to compare two selected statistical techniques used for identification of archeological materials merely on the base of their spectra obtained by stand-off laser-induced breakdown spectroscopy(stand-off LIBS). Data processing using linear discriminant analysis (LDA) and artificial neural networks (ANN) were applied on spectra of 18 different samples, some of them archeological and some recent, containing 7 types of material (i.e. shells, mortar, bricks, soil pellets, ceramic, teeth and bones). As the input data PCA scores were taken. The intended aim of this work is to create a database for simple and fast identification of archeological or paleontological materials in situ. This approach can speed up and simplify the samplingprocess during archeological excavations that nowadays tend to be quite damaging and timeconsuming.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CB - Analytická chemie, separace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Spectrochimica Acta B

ISSN

0584-8547

e-ISSN

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Svazek periodika

73

Číslo periodika v rámci svazku

JUL

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

1-6

Kód UT WoS článku

000308281000001

EID výsledku v databázi Scopus

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