Machine Learning Approach on Steel Microstructure Classification
The microstructure of a material is its inner morphological features. The microstructure of steel can be diverse and complex depending on the composition, heat treatment, and processing of the alloy, making it difficult to accurately predict the material’
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2019 Conference Proceedings Science, Technology, and Humanity: Advancement and Sustainability
EKC 2019 Conference Proceedings
Jong Mun Park • Dong Ryeol Whang Editors
EKC 2019 Conference Proceedings Science, Technology, and Humanity: Advancement and Sustainability
Vienna, Austria, July 15–18, 2019 Proceedings
Editors Jong Mun Park ams AG Premstaetten, Austria
Dong Ryeol Whang Department of Advanced Materials Hannam University Daejeon, Republic of Korea
ISBN 978-981-15-8349-0 ISBN 978-981-15-8350-6 https://doi.org/10.1007/978-981-15-8350-6
(eBook)
© Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
EKC 2019, the 12th EKC, was held in Vienna, Austria, from July 15 to 18, 2019. It was hosted by the Korean Scientists and Engineers Association in Austria (KOSEAA) together with the Korean Federation of Science and Technology Societies (KOFST) and eight other Korean Scientists and Engineers Associations in Europe which are in Germany (VeKNI), the UK (KSEAUK), France (ASCoF), Austria (KOSEAA), Finland (KOSES), Scandinavia (KSSEA), the Netherlands (KOSEANL), Switzerland (KSEAS), and Belgium (KOSEAbe). Since its first successful start in 2008 in Heidelberg, Germany, EKC has been held annually in different European countries and has become the most important scientific and social event, bringing scientists and engineers from Europe and Korea together. Under the theme of “Science, Technology and Humanity: Advancement and Sustainability,” EKC 2019 was successfully held with more than 680 registered participants. Three hundred twenty nine papers were presented in 50 technical sessions. Among them, high impact-research resu
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