PARTICLE SWARM OPTIMIZATION FOR AUTOMATIC HARDNESS MEASUREMENT

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916576" target="_blank" >RIV/49777513:23520/12:43916576 - isvavai.cz</a>

Alternative codes found

RIV/70883521:28110/12:43869348

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

PARTICLE SWARM OPTIMIZATION FOR AUTOMATIC HARDNESS MEASUREMENT

Original language description

Hardness measurement enables fast and reliable identification of low quality material and helps to prevent its use in the production process. Automatic hardness measurement can speed up the measurement process and provides repeatable results in contrastto manual measurement that is time consuming and always affected by a human factor. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. This article introduces an algorithm that enables measurement ofrough polished specimens and minimizes the effect of specimen surface properties.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/FR-TI1%2F487" target="_blank" >FR-TI1/487: Development of the hardness measurement system with focus on research of the new possibilities in the area of polymer properties analysis and its application in the market</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

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

Name of the periodical

CHEMICKE LISTY

ISSN

0009-2770

e-ISSN

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Volume of the periodical

106

Issue of the periodical within the volume

s3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

4

Pages from-to

"s434"-"s437"

UT code for WoS article

000314237900023

EID of the result in the Scopus database

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