Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

Vision 2040: A Roadmap for Integrated, Multiscale Modeling and Simulation of Materials and Systems

Over the last few decades, advances in high-performance computing, new materials characterization methods, and, more recently, an emphasis on integrated computational materials engineering (ICME) and additive manufacturing have been a catalyst for multiscale modeling and simulation-based design of materials and structures in the aerospace industry. While these advances have driven significant progress in the development of aerospace components and systems, that progress has been limited by persistent technology and infrastructure challenges that must be overcome to realize the full potential of integrated materials and systems design and simulation modeling throughout the supply chain. As a result, NASA's Transformational Tools and Technology (TTT) Project sponsored a study (performed by a diverse team led by Pratt & Whitney) to define the potential 25-year future state required for integrated multiscale modeling of materials and systems (e.g., load-bearing structures) to accelerate the pace and reduce the expense of innovation in future aerospace and aeronautical systems. This report describes the findings of this 2040 Vision study (e.g., the 2040 vision state; the required interdependent core technical work areas, Key Element (KE); identified gaps and actions to close those gaps; and major recommendations) which constitutes a community consensus document as it is a result of over 450 professionals input obtain via: 1) four society workshops (AIAA, NAFEMS, and two TMS), 2) community-wide survey, and 3) the establishment of 9 expert panels (one per KE) consisting on average of 10 non-team members from academia, government and industry to review, update content, and prioritize gaps and actions. The study envisions the development of a cyber-physical-social ecosystem comprised of experimentally verified and validated computational models, tools, and techniques, along with the associated digital tapestry, that impacts the entire supply chain to enable cost-effective, rapid, and revolutionary design of fit-for-purpose materials, components, and systems. Although the vision focused on aeronautics and space applications, it is believed that other engineering communities (e.g., automotive, biomedical, etc.) can benefit as well from the proposed framework with only minor modifications. Finally, it is TTT's hope and desire that this vision provides the strategic guidance to both public and private research and development decision makers to make the proposed 2040 vision state a reality and thereby provide a significant advancement in the United States global competitiveness

SInCom 2015

2nd Baden-Württemberg Center of Applied Research Symposium on Information and Communication Systems, SInCom 2015, 13. November 2015 in Konstan

Computational Methods in Science and Engineering : Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany

In this proceedings volume we provide a compilation of article contributions equally covering applications from different research fields and ranging from capacity up to capability computing. Besides classical computing aspects such as parallelization, the focus of these proceedings is on multi-scale approaches and methods for tackling algorithm and data complexity. Also practical aspects regarding the usage of the HPC infrastructure and available tools and software at the SCC are presented

Contributions to the design of power modules for electric and hybrid vehicles: trends, design aspects and simulation techniques

314 p.En la última década, la protección del medio ambiente y el uso alternativo de energías renovables están tomando mayor relevancia tanto en el ámbito social y político, como científico. El sector del transporte es uno de los principales causantes de los gases de efecto invernadero y la polución existente, contribuyendo con hasta el 27 % de las emisiones a nivel global. En este contexto desfavorable, la electrificación de los vehículos de carretera se convierte en un factor crucial. Para ello, la transición de la actual flota de vehículos de carretera debe ser progresiva forzando la investigación y desarrollo de nuevos conceptos a la hora de producir vehículos eléctricos (EV) y vehículos eléctricos híbridos (HEV) más eficientes, fiables, seguros y de menor coste. En consecuencia, para el desarrollo y mejora de los convertidores de potencia de los HEV/EV, este trabajo abarca los siguientes aspectos tecnológicos: - Arquitecturas de la etapa de conversión de potencia. Las principales topologías que pueden ser implementadas en el tren de potencia para HEV/EV son descritas y analizadas, teniendo en cuenta las alternativas que mejor se adaptan a los requisitos técnicos que demandan este tipo de aplicaciones. De dicha exposición se identifican los elementos constituyentes fundamentales de los convertidores de potencia que forman parte del tren de tracción para automoción.- Nuevos dispositivos semiconductores de potencia. Los nuevos objetivos y retos tecnológicos solo pueden lograrse mediante el uso de nuevos materiales. Los semiconductores Wide bandgap (WBG), especialmente los dispositivos electrónicos de potencia basados en nitruro de galio (GaN) y carburo de silicio (SiC), son las alternativas más prometedoras al silicio (Si) debido a las mejores prestaciones que poseen dichos materiales, lo que permite mejorar la conductividad térmica, aumentar las frecuencias de conmutación y reducir las pérdidas.- Análisis de técnicas de rutado, conexionado y ensamblado de módulos de potencia. Los módulos de potencia fabricados con dies en lugar de dispositivos discretos son la opción preferida por los fabricantes para lograr las especificaciones indicadas por la industria de la automoción. Teniendo en cuenta los estrictos requisitos de eficiencia, fiabilidad y coste es necesario revisar y plantear nuevos layouts de las etapas de conversión de potencia, así como esquemas y técnicas de paralelización de los circuitos, centrándose en las tecnologías disponibles.Teniendo en cuenta dichos aspectos, la presente investigación evalúa las alternativas de semiconductores de potencia que pueden ser implementadas en aplicaciones HEV/EV, así como su conexionado para la obtención de las densidades de potencia requeridas, centrándose en la técnica de paralelización de semiconductores. Debido a la falta de información tanto científica como comercial e industrial sobre dicha técnica, una de las principales contribuciones del presente trabajo ha sido la propuesta y verificación de una serie de criterios de diseño para el diseño de módulos de potencia. Finalmente, los resultados que se han extraído de los circuitos de potencia propuestos demuestran la utilidad de dichos criterios de diseño, obteniendo circuitos con bajas impedancias parásitas y equilibrados eléctrica y térmicamente. A nivel industrial, el conocimiento expuesto en la presente tesis permite reducir los tiempos de diseño a la hora de obtener prototipos de ciertas garantías, permitiendo comenzar la fase de prototipado habiéndose realizado comprobaciones eléctricas y térmicas