bibtype C - Conference Paper (international conference)
ARLID 0449025
utime 20240103210936.9
mtime 20151023235959.9
title (primary) (eng) Advanced Data Analysis for Industrial Applications
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0449038
ISBN 978-2-910239-82-4
title Abstracts Book
page_num 5
publisher
place -
name -
year 2015
editor
name1 Antoch
name2 J.
keyword data analysis
keyword mathematical gnostics
keyword robust methods
author (primary)
ARLID cav_un_auth*0103409
name1 Wagner
name2 Zdeněk
full_dept (cz) Laboratoř separačních procesů E. Hály
full_dept (eng) E. Hála Laboratory of Separation Processes
institution UCHP-M
full_dept Department of Aerosols Chemistry and Physics
fullinstit Ústav chemických procesů AV ČR, v. v. i.
author
ARLID cav_un_auth*0101135
name1 Kovanic
name2 Pavel
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
abstract (eng) One of the principal tasks of nowaday's industry is process intensification. The methodology for finding reliable results is highly demanded. While marketing is concentrated on analysis big data that are available in eShops as well as other internet media, the situation in the industry is different because solution must be found in real time based on limited amount of data. The algorithms of data analysis must therefore be fast and robust. In the last few decades statistical methods have advanced considerably but a new, nonstatistical approach to uncertainty, called mathematical gnostics, have also be developed. This new approach is based upon the fundamental laws of nature and robustness is its inherent property. The contribution will present several applications with the emphasis laid upon description of the main features of mathematical gnostics. Previous applications in energetics that can be enhanced by use of the modern algorithms of data analysis will also be mentioned.
action
ARLID cav_un_auth*0320897
name Modelling Smard Grids 2015
place Prague
dates 10.09.2015-11.09.2015
country CZ
reportyear 2016
RIV BA
mrcbC52 4 O nusl 4on 20231122141230.0
presentation_type PO
inst_support RVO:67985858
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0250606
confidential S
arlyear 2015
mrcbTft \nSoubory v repozitáři: SKMBT_C22015101209580.pdf
mrcbU63 cav_un_epca*0449038 Abstracts Book 978-2-910239-82-4 5 - - 2015
mrcbU67 Antoch J. 340