Titlebook: Advanced Computing Strategies for Engineering; 25th EG-ICE Interna Ian F. C. Smith,Bernd Domer Conference proceedings 2018 Springer Intern

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Advanced Computing Strategies for Engineering978-3-319-91635-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-319-91635-4Engineering; Design; Building Information Modelling; Engineering Ontologies; Computer Supported Construc

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978-3-319-91634-7Springer International Publishing AG, part of Springer Nature 2018

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Belief Reliability Theory and Methodologying, storing, deleting, distributing these digital images, as done manually, are cumbersome, error-prone, and time-consuming. Thus, it is desirable to automate the object detection process of pictures so that engineers do not have to waste their valuable time and can improve the efficiency and accur

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Belief Reliability Theory and Methodologyformance assessment, diagnostic analysis and control optimization. Focusing on the Gaussian Process modeling approach, engineering applications on constructing predictive models for energy consumption analysis and tool condition monitoring of a milling machine tool are presented. Furthermore, a coop

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Base Revision in Logics Without Negation,and for the digitalization of the existing building stock. Based on our previous work on this subject we present a framework for autonomous BIM reconstruction using an IoT-based approach. We show that it is possible to integrated depth sensing technologies with common devices that move regularly thr

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Base Revision in Logics Without Negation, this paper, we outline the general concept of a data processing pipeline that produces fully three-dimensional, semantically rich and topologically valid as-built building models. Point cloud data is processed with a combination of histogram, voxel-based and RANSAC-based methods to detect surfaces