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ECO-COMPASS

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ISBN: 9783038976905 9783038976912 Year: Pages: 219 DOI: 10.3390/books978-3-03897-691-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication --- Transportation
Added to DOAB on : 2019-08-28 11:21:28
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Abstract

Today, mainly man-made materials, such as carbon and glass fibers, are used to produce composite parts in aviation. Renewable materials, such as natural fibers or bio-sourced resin systems, have not yet found their way into aviation. The project ECO-COMPASS aims to evaluate the potential applications of ecologically improved composite materials in the aviation sector in an international collaboration of Chinese and European partners. Natural fibers such as flax and ramie will be used for different types of reinforcements and sandwich cores. Furthermore, bio-based epoxy resins to substitute bisphenol-A based epoxy resins in secondary structures are under investigation. Adapted material protection technologies to reduce environmental influence and to improve fire resistance are needed to fulfil the demanding safety requirements in aviation. Modelling and simulation of chosen eco-composites aims for an optimized use of materials while a Life Cycle Assessment aims to prove the ecological advantages compared to synthetic state-of-the-art materials. This Special Issue provides selected papers from the project consortium partners.

Multiple-Aspect Analysis of Semantic Trajectories

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Book Series: Lecture Notes in Computer Science ISBN: 9783030380816 Year: Pages: 133 DOI: 10.1007/978-3-030-38081-6 Language: English
Publisher: Springer Nature
Subject: Computer Science
Added to DOAB on : 2020-01-29 11:21:09
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This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.

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