Cross Reality And Data Science In Engineering

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Cross Reality and Data Science in Engineering

Michael E. Auer,Dominik May
Cross Reality and Data Science in Engineering Book PDF

Author : Michael E. Auer,Dominik May
Publisher : Springer Nature
Page : 1036 pages
File Size : 55,9 Mb
Release : 2020-08-20
Category : Computers
ISBN : 9783030525750

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Cross Reality and Data Science in Engineering by Michael E. Auer,Dominik May Pdf

Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on “Cross Reality and Data Science in Engineering” which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.

Cross Reality and Data Science in Engineering

Anonim
Cross Reality and Data Science in Engineering Book PDF

Author : Anonim
Publisher : Unknown
Page : 1043 pages
File Size : 42,6 Mb
Release : 2021
Category : Cooperating objects (Computer systems)
ISBN : 3030525767

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Cross Reality and Data Science in Engineering by Anonim Pdf

Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on "Cross Reality and Data Science in Engineering" which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.

Online Engineering and Society 4.0

Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue
Online Engineering and Society 4 0 Book PDF

Author : Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue
Publisher : Springer Nature
Page : 584 pages
File Size : 47,5 Mb
Release : 2021-09-19
Category : Technology & Engineering
ISBN : 9783030825294

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Online Engineering and Society 4.0 by Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue Pdf

This book presents the general objective of the REV2021 conference which is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparably connected, for example, with Internet of Things, Industry 4.0 & Industrial Internet of Things, Cloud Technologies, Data Science, Cross & Mixed Reality, Remote Working Environments, Online & Biomedical Engineering, to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2021 on "Online Engineering and Society 4.0" was the 17th in a series of annual events concerning the area of Remote Engineering and Virtual Instrumentation. It has been organized in cooperation with the International Engineering and Technology Institute (IETI) as an online event from February 24 to 26, 2021.

Artificial Intelligence and Online Engineering

Michael E. Auer,Samir A. El-Seoud,Omar H. Karam
Artificial Intelligence and Online Engineering Book PDF

Author : Michael E. Auer,Samir A. El-Seoud,Omar H. Karam
Publisher : Springer Nature
Page : 691 pages
File Size : 46,5 Mb
Release : 2022-10-14
Category : Technology & Engineering
ISBN : 9783031170911

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Artificial Intelligence and Online Engineering by Michael E. Auer,Samir A. El-Seoud,Omar H. Karam Pdf

Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.

Open Science in Engineering

Michael E. Auer,Reinhard Langmann,Thrasyvoulos Tsiatsos
Open Science in Engineering Book PDF

Author : Michael E. Auer,Reinhard Langmann,Thrasyvoulos Tsiatsos
Publisher : Springer Nature
Page : 1125 pages
File Size : 43,7 Mb
Release : 2023-12-31
Category : Technology & Engineering
ISBN : 9783031424670

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Open Science in Engineering by Michael E. Auer,Reinhard Langmann,Thrasyvoulos Tsiatsos Pdf

The REV Conference is the annual conference of the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC). REV 2023 is the 20th in a series of annual events concerning the area of online engineering, cyber-physical systems and Internet of things, including remote engineering and virtual instrumentation. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of online and remote engineering, virtual instrumentation, and other related new technologies, including: Cross-reality Open Science Internet of Things and Industrial Internet of Things Industry 4.0 Cyber-security M2M and smart objects.

Perspectives on Learning Analytics for Maximizing Student Outcomes

Durak, Gürhan,Cankaya, Serkan
Perspectives on Learning Analytics for Maximizing Student Outcomes Book PDF

Author : Durak, Gürhan,Cankaya, Serkan
Publisher : IGI Global
Page : 479 pages
File Size : 52,6 Mb
Release : 2023-10-24
Category : Education
ISBN : 9781668495285

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Perspectives on Learning Analytics for Maximizing Student Outcomes by Durak, Gürhan,Cankaya, Serkan Pdf

Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. This book empowers professionals and researchers to leverage learning analytics effectively, enabling data-informed decision-making, improved teaching practices, and tailored educational programs. By presenting best practices and future directions, it equips readers with the necessary tools to optimize learning environments and drive student success. With a focus on the transformative potential of learning analytics, this book propels education toward a more efficient and effective system that prioritizes student outcomes.

Augmenting Collaboration - Impact of Augmented Reality on Collaborative Problem-Solving Processes

Nina Schiffeler
Augmenting Collaboration Impact of Augmented Reality on Collaborative Problem Solving Processes Book PDF

Author : Nina Schiffeler
Publisher : Apprimus Wissenschaftsverlag
Page : 228 pages
File Size : 52,8 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783863599867

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Augmenting Collaboration - Impact of Augmented Reality on Collaborative Problem-Solving Processes by Nina Schiffeler Pdf

Diese Arbeit untersucht die Auswirkungen von Augmented Reality (AR) auf kollaborative Problemlöseprozesse und fokussiert dabei die Kollaborateure sowie das Konzept zur effektiven Gestaltung und Integration von AR in kollaborative Setting zur Lösung komplexer Probleme. Als Ergebnis werden Aussagen und Leitlinien vorgestellt, die die Auswirkungen von AR auf das Verhalten der Teams während der Kollaboration sowie auf den Fortschritt und die Durchführung des Problemlöseprozesses beschreiben.

Advanced Manufacturing Techniques for Engineering and Engineered Materials

Thanigaivelan, R.,Rajan, N.,Argul, T.G.
Advanced Manufacturing Techniques for Engineering and Engineered Materials Book PDF

Author : Thanigaivelan, R.,Rajan, N.,Argul, T.G.
Publisher : IGI Global
Page : 351 pages
File Size : 42,6 Mb
Release : 2022-03-11
Category : Technology & Engineering
ISBN : 9781799895763

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Advanced Manufacturing Techniques for Engineering and Engineered Materials by Thanigaivelan, R.,Rajan, N.,Argul, T.G. Pdf

As technology advances, it is imperative to stay current in the newest developments made within the engineering industry and within material sciences. Trends in manufacturing such as 3D printing, casting, welding, surface modification, computer numerical control (CNC), non-traditional, Industry 4.0 ergonomics, and hybrid machining methods must be closely examined to utilize these important resources for the betterment of society. Advanced Manufacturing Techniques for Engineering and Engineered Materials provides a unified and complete overview about the recent and emerging trends, developments, and associated technology with scope for the commercialization of techniques specific to manufacturing materials. This book also reviews the various machining methods for difficult-to-cut materials and novel materials including matrix composites. Covering topics such as agro-waste, conventional machining, and material performance, this book is an essential resource for researchers, engineers, technologists, students and professors of higher education, industry workers, entrepreneurs, researchers, and academicians.

Learning with Technologies and Technologies in Learning

Michael E. Auer,Andreas Pester,Dominik May
Learning with Technologies and Technologies in Learning Book PDF

Author : Michael E. Auer,Andreas Pester,Dominik May
Publisher : Springer Nature
Page : 701 pages
File Size : 50,6 Mb
Release : 2022-09-12
Category : Technology & Engineering
ISBN : 9783031042867

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Learning with Technologies and Technologies in Learning by Michael E. Auer,Andreas Pester,Dominik May Pdf

Education has always been one of the cornerstones for societal evolution and economic growth. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. The use of technology impacts the way educational content is presented and acquired in many areas. The designs of immersive educational worlds and the combination of rational and emotional educational experiences that cannot be designed in the same way in the traditional classroom will come increasingly into focus. Seen in this way the book also contributes to generalize the experience of the COVID-19 crisis and its impact to quality of learning and education. Scientifically based statements as well as excellent experiences (best practice) are necessary. This book contains scientific papers in the fields of: The future of learning Eruptive technologies in learningPedagogy of online learning Deep learning vs machine learning: opportunities and challengesReimagining and rapid transition of learning Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.

Smart Education and e-Learning 2021

Vladimir L. Uskov,Robert J. Howlett,Lakhmi C. Jain
Smart Education and e Learning 2021 Book PDF

Author : Vladimir L. Uskov,Robert J. Howlett,Lakhmi C. Jain
Publisher : Springer Nature
Page : 506 pages
File Size : 55,9 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9789811628344

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Smart Education and e-Learning 2021 by Vladimir L. Uskov,Robert J. Howlett,Lakhmi C. Jain Pdf

This book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14–16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected parts: smart education; smart e-learning; smart education: systems and technology; smart education: case studies and research; digital education and economics in smart university, smart university development: organizational, managerial and social Issues; smart universities and their Impact on students with disabilities. This book serves as a useful source of research data and valuable information on current research projects, best practices, and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners— all those who are interested in smart education and smart e-learning.

Handbook of Digital Twins

Zhihan Lyu
Handbook of Digital Twins Book PDF

Author : Zhihan Lyu
Publisher : CRC Press
Page : 923 pages
File Size : 50,9 Mb
Release : 2024-05-29
Category : Computers
ISBN : 9781003850809

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Handbook of Digital Twins by Zhihan Lyu Pdf

Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.

Data Science for Engineers

Raghunathan Rengaswamy,Resmi Suresh
Data Science for Engineers Book PDF

Author : Raghunathan Rengaswamy,Resmi Suresh
Publisher : CRC Press
Page : 361 pages
File Size : 49,9 Mb
Release : 2022-12-16
Category : Technology & Engineering
ISBN : 9781000813319

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Data Science for Engineers by Raghunathan Rengaswamy,Resmi Suresh Pdf

With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems. The book- Provides a systematic approach for understanding data science techniques Explain why machine learning techniques are able to cross-cut several disciplines. Covers topics including statistics, linear algebra and optimization from a data science perspective. Provides multiple examples to explain the underlying ideas in machine learning algorithms Describes several contemporary machine learning algorithms The textbook is primarily written for undergraduate and senior undergraduate students in different engineering disciplines including chemical engineering, mechanical engineering, electrical engineering, electronics and communications engineering for courses on data science, machine learning and artificial intelligence.

Data Engineering and Data Science

Kukatlapalli Pradeep Kumar,Aynur Unal,Vinay Jha Pillai,Hari Murthy,M. Niranjanamurthy
Data Engineering and Data Science Book PDF

Author : Kukatlapalli Pradeep Kumar,Aynur Unal,Vinay Jha Pillai,Hari Murthy,M. Niranjanamurthy
Publisher : John Wiley & Sons
Page : 367 pages
File Size : 51,8 Mb
Release : 2023-08-29
Category : Mathematics
ISBN : 9781119841975

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Data Engineering and Data Science by Kukatlapalli Pradeep Kumar,Aynur Unal,Vinay Jha Pillai,Hari Murthy,M. Niranjanamurthy Pdf

DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.

Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education

Minjuan Wang,Jungwoo Ryoo,Kurt Winkelmann
Cross Reality XR and Immersive Learning Environments ILEs in Education Book PDF

Author : Minjuan Wang,Jungwoo Ryoo,Kurt Winkelmann
Publisher : Taylor & Francis
Page : 174 pages
File Size : 49,9 Mb
Release : 2023-11-14
Category : Education
ISBN : 9781000999921

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Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education by Minjuan Wang,Jungwoo Ryoo,Kurt Winkelmann Pdf

This timely volume highlights the novel ways in which cutting-edge virtual and augmented reality (VR and AR) technology is being used in STEM education. Today, there are many exciting advances occurring in Immersive Learning Environments (ILEs) and innovative applications in STEM education. Recent breakthroughs in technologies such VR, AR, and Mixed Reality (MR) as well as Cross Reality (XR) that leverages VR, AR, and MR are finally making it feasible for educators in STEM to adopt ILEs in their classrooms in a scalable manner. Edited by experienced XR researchers in STEM education, Wang, Ryoo, and Winkelmann, the book focuses on the use of ILEs for creating experiences that excite, inspire, and engage learners in STEM disciplines. Chapters include research studies and practical applications addressing the challenges and opportunities associated with adopting technologies. This book covers the entire spectrum of immersive platform types and ILEs such as desktop, mobile, wearable, and room-based. It helps advance research and practice in the novel adoption of ILE technologies into STEM education from technical, theoretical/conceptual, empirical, and/or methodological perspectives. Cross Reality (XR) and Immersive Learning Environments (ILE) in Education will be a key resource for academics, researchers, and advanced students of education, STEM education, instructional design and technology, educational research, educational technology, research methods, information and communications technology, and curriculum and instruction. This book was originally published as a special issue of Interactive Learning Environments.

Leveraging Data Science for Global Health

Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Leveraging Data Science for Global Health Book PDF

Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer Nature
Page : 471 pages
File Size : 47,5 Mb
Release : 2020-07-31
Category : Medical
ISBN : 9783030479947

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Leveraging Data Science for Global Health by Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai Pdf

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.