TY  - BOOK
A1  - Andrae, Marianne
A1  - Ebert, Johannes
A1  - Garbe-von Kuczkowski, Angela
A1  - Garbe, Roland
A1  - Grabow, Christian
A1  - Klees-Wambach, Marie-Luise
A1  - Kofler, Rolf
A1  - Mittmann, Michael
A1  - Nickel, Michael
A1  - Nöthen, Thomas
A1  - Schrader-Kroschewski, Karen
A1  - Schramm, Barbara
A1  - Ulrich, Christoph
ED  - Garbe, Roland
T1  - Verfahren in Familiensachen : FamFG ; ZPO ; BGB
T3  - Nomos ProzessHandbuch
Y1  - 2009
SN  - 978-3-8329-3973-1
PB  - Nomos; Beck-Online
CY  - Baden-Baden; München
ER  - 
TY  - JOUR
A1  - Ebert, Thomas
A1  - Trauth, Martin H.
T1  - Semi-automated detection of annual laminae (varves) in lake sediments using a fuzzy logic algorithm
JF  - Palaeogeography, palaeoclimatology, palaeoecology : an international journal for the geo-sciences
N2  - Annual laminae (varves) in lake sediments are typically visually identified, measured and counted, although numerous attempts have been made to automate this process. The reason for the failure of most of these automated algorithms for varve counting is the complexity of the seasonal laminations, typically rich in lateral fades variations and internal heterogeneities. In the manual counting of varves, the investigator acquired and interpreted flexible numbers of complex decision criteria to understand whether a particular simple lamination is a varve or not. Fuzzy systems simulate the flexible decision making process in a computer by introducing a smooth transition between true varve and false varve. In our investigation, we use an adaptive neuro fuzzy inference system (ANFIS) to detect varves on the basis of a digital image of the sediment. The results of the application of the ANFIS to laminated sediments from the Meerfelder Maar (Eifel, Germany) and from a landslide-dammed lake in the Quebrada de Cafayate of Argentina are compared with manual varve counts and possible reasons for the differences are discussed. (C) 2015 Elsevier B.V. All rights reserved.
KW  - Varve
KW  - Lake sediment
KW  - Image processing
KW  - Fuzzy logic
KW  - MATLAB
KW  - Statistics
Y1  - 2015
U6  - https://doi.org/10.1016/j.palaeo.2015.05.024
SN  - 0031-0182
SN  - 1872-616X
VL  - 435
SP  - 272
EP  - 282
PB  - Elsevier
CY  - Amsterdam
ER  -