Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ivan Kraljevski"'
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1670 (2023)
Softness is one of the essential properties of hygiene tissue products. Reliably measuring it is of utmost importance to ensure the balance between customer expectations and cost-effective tissue production. This study presents a method for assessing
Externí odkaz:
https://doaj.org/article/4f34aa3374a64b0c9df2597a2d1590ad
Publikováno v:
Sensors, Vol 22, Iss 15, p 5814 (2022)
Based on the fact that cogwheels are indispensable parts in manufacturing, we present the acoustic resonance testing (ART) of small data on sintered cogwheels for quality control in the context of non-destructive testing (NDT). Considering the lack o
Externí odkaz:
https://doaj.org/article/a920018e45b94745b2a358234b579577
Autor:
Ivan Kraljevski, Frank Duckhorn, Martin Barth, Constanze Tschoepe, Frank Schubert, Matthias Wolff
Publikováno v:
2021 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49294ce5791766d4e6596ca2a6a5096b
https://doi.org/10.1109/sensors47087.2021.9639864
https://doi.org/10.1109/sensors47087.2021.9639864
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70fbfc5a572fdb2e46e45045eb3f00e
https://doi.org/10.21437/interspeech.2021-1101
https://doi.org/10.21437/interspeech.2021-1101
We investigated and compared various algorithms in machine learning for anomaly assessment with different feature analyses on ultrasonic signals recorded by sensor networks. The following methods were used and compared in anomaly detection modeling:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d0dde206bcc004bbcb5ae7e12084f8
https://publica.fraunhofer.de/handle/publica/266522
https://publica.fraunhofer.de/handle/publica/266522
Publikováno v:
2020 IEEE SENSORS.
We present a method for extracting health indicators from piezoelectric sensors applied in the case of microfluidic valves. Convolutional autoencoders were used to train a model on the normal operating conditions and tested on signals of different va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32146a7e77c040d4786bd9145be880db
https://doi.org/10.1109/sensors47125.2020.9323023
https://doi.org/10.1109/sensors47125.2020.9323023
Autor:
Yong Chul Ju, Christian Richter, Matthias Wolff, Ivan Kraljevski, Frank Duckhorn, Constanze Tschoepe
Publikováno v:
I2MTC
In this study, we compare different machine learning approaches applied to acoustic resonance recognition of coins. Euro-cents and Euro-coins were classified by the sound emerging when throwing the coins onto a hard surface.The used dataset is a repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cc21038c9d5da95523b975a3432edf0
https://doi.org/10.1109/i2mtc43012.2020.9129256
https://doi.org/10.1109/i2mtc43012.2020.9129256
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491857
AIAI (2)
AIAI (2)
In this paper, acoustic resonance testing on glass intravenous (IV) bottles is presented. Different machine learning methods were applied to distinguish acoustic observations of bottles with defects from the intact ones. Due to the very limited amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d856bbe6f3f43d2e3328d69d0ad71e6
https://doi.org/10.1007/978-3-030-49186-4_17
https://doi.org/10.1007/978-3-030-49186-4_17
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d10a20b7054b83e4ecf65544f6aa7f5
https://doi.org/10.21437/interspeech.2019-2163
https://doi.org/10.21437/interspeech.2019-2163
Autor:
Ivan Kraljevski, Diane Hirschfeld
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c824fc8e78fa7b3275ac04db7c95bf
https://doi.org/10.21437/interspeech.2018-1348
https://doi.org/10.21437/interspeech.2018-1348