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CAE ProNet methodology is to develop CAE network considering interdependencies among digital validations. Utilizing CAE network and considering industrial requirements, an algorithm is applied to execute a product, vehicle development phase, and load case priority oriented CAE process. Major advantage of this research work is to improve quality of simulation results, reducing time-to-market and decreasing dependencies on hardware prototype.

CAE-Process, CAE-Network, Simulation Data Management, Multiphysics Simulation, CAE-ProNet Application

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As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields including medicine, education data, and recommender systems. The aim of this book is to provide the reader with a variety of fields and systems where the analysis and management of Big Data are essential. This book describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets.

Physical Sciences, Engineering and Technology --- Computer and Information Science --- Information and Knowledge Engineering --- Data Management System

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The book is based on practical requirements for the management of quantitative research data in small to medium-sized research projects in the social sciences, which generate and analyse data, save original data and archive and make them available for further use in the long term. In order to equip scientists with the tools to specifically meet these requirements, typical questions of data-based research projects are addressed on the basis of application cases and systematically processed with proven concepts of research data management. Overall, the book is a practical guide to documenting data-based research products (e.g. data files, measuring instruments, survey methods, analysis syntaxes) step by step, securing them professionally and making them available for subsequent use. In addition, the book highlights open questions and current challenges in dealing with research data. In the interest of scientifically and methodologically sound research data management, it also opens up perspectives for university education and research into the management of research data.

Data Sharing --- Research Data Management --- Social Science Research --- Social Sciences --- Research Data --- Data-Sharing --- Forschungsdatenmanagement --- Sozialwissenschaftliche Forschung --- Sozialwissenschaften --- Forschungsdaten

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Currently, companies have covered their business processes with stationary workstations while mobile business applications have limited relevance. Companies can cover their overall business processes more time-efficiently and cost-effectively when they integrate mobile users in workflows using mobile device features. The objective is a framework that can be used to model and control business applications for PLM processes using mobile device features to allow a totally new user experience.

Produktlebenszyklusmanagement (PLM), Produktdatenmanagement (PDM), Framework , Mobile Gerätefeature, ProduktentwicklungProduct Lifecycle Management (PLM), Product Data Management (PDM), Framework, Mobile Device Feature, Product Development

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This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer’s series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA’s first funding phase, and provides an overview of SPPEXA’s contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.

Simulation and Modeling --- Performance and Reliability --- Computational Science and Engineering --- Input/Output and Data Communications --- Mathematical and Computational Engineering --- Numerical and Computational Physics, Simulation --- Computer Science --- Computer Hardware --- Mathematical and Computational Engineering Applications --- Theoretical, Mathematical and Computational Physics --- open access --- computational algorithms and numerical methods --- data management and exploration --- high-performance computing --- simulation software and applications --- system software and software tools --- Computer modelling & simulation --- Systems analysis & design --- Maintenance & repairs --- Maths for scientists --- Computer networking & communications --- Distributed databases --- Maths for engineers --- Mathematical physics