Cross Reality and Data Science in Engineering Book

Cross Reality and Data Science in Engineering


  • Author : Michael E. Auer
  • Publisher : Springer Nature
  • Release Date : 2020-08-20
  • Genre: Computers
  • Pages : 1036
  • ISBN 10 : 9783030525750

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Cross Reality and Data Science in Engineering Excerpt :

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 Book

Cross Reality and Data Science in Engineering


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021
  • Genre: Cooperating objects (Computer systems)
  • Pages : 1043
  • ISBN 10 : 3030525767

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Cross Reality and Data Science in Engineering Excerpt :

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.

Smart Education and e Learning 2021 Book

Smart Education and e Learning 2021


  • Author : Vladimir L. Uskov
  • Publisher : Springer Nature
  • Release Date : 2021-06-05
  • Genre: Technology & Engineering
  • Pages : 506
  • ISBN 10 : 9789811628344

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Smart Education and e Learning 2021 Excerpt :

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.

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

Augmenting Collaboration Impact of Augmented Reality on Collaborative Problem Solving Processes


  • Author : Nina Schiffeler
  • Publisher : Apprimus Wissenschaftsverlag
  • Release Date : 2021-07-02
  • Genre: Technology & Engineering
  • Pages : 226
  • ISBN 10 : 9783863599867

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Augmenting Collaboration Impact of Augmented Reality on Collaborative Problem Solving Processes Excerpt :

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 Book

Advanced Manufacturing Techniques for Engineering and Engineered Materials


  • Author : Thanigaivelan, R.
  • Publisher : IGI Global
  • Release Date : 2022-03-11
  • Genre: Technology & Engineering
  • Pages : 351
  • ISBN 10 : 9781799895763

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Advanced Manufacturing Techniques for Engineering and Engineered Materials Excerpt :

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.

Data Science and Knowledge Engineering for Sensing Decision Support Book

Data Science and Knowledge Engineering for Sensing Decision Support


  • Author : Jun Liu
  • Publisher : World Scientific
  • Release Date : 2018-07-26
  • Genre: Computers
  • Pages : 1624
  • ISBN 10 : 9789813273245

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Data Science and Knowledge Engineering for Sensing Decision Support Excerpt :

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

Leveraging Data Science for Global Health Book

Leveraging Data Science for Global Health


  • Author : Leo Anthony Celi
  • Publisher : Springer Nature
  • Release Date : 2020-07-31
  • Genre: Medical
  • Pages : 475
  • ISBN 10 : 9783030479947

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Leveraging Data Science for Global Health Excerpt :

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.

Online Engineering and Society 4 0 Book

Online Engineering and Society 4 0


  • Author : Michael E. Auer
  • Publisher : Springer Nature
  • Release Date : 2021-10-21
  • Genre: Technology & Engineering
  • Pages : 572
  • ISBN 10 : 9783030825294

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Online Engineering and Society 4 0 Excerpt :

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.

Doing Data Science Book
Score: 4
From 1 Ratings

Doing Data Science


  • Author : Cathy O'Neil
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-09
  • Genre: Computers
  • Pages : 408
  • ISBN 10 : 9781449363895

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Doing Data Science Excerpt :

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Data Science for Business Book
Score: 3.5
From 8 Ratings

Data Science for Business


  • Author : Foster Provost
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27
  • Genre: Computers
  • Pages : 414
  • ISBN 10 : 9781449374280

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Data Science for Business Excerpt :

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Augmented and Virtual Reality Book

Augmented and Virtual Reality


  • Author : Lucio Tommaso De Paolis
  • Publisher : Springer
  • Release Date : 2015-08-14
  • Genre: Computers
  • Pages : 516
  • ISBN 10 : 9783319228884

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Augmented and Virtual Reality Excerpt :

This book constitutes the refereed proceedings of the Second International Conference on Augmented and Virtual Reality, AVR 2015, held in Lecce, Italy, in September 2015. The 32 papers and 8 short papers presented were carefully reviewed and selected from 82 submissions. The SALENTO AVR 2015 conference brings together a community of researchers from academia and industry, computer scientists, engineers, and physicians in order to share points of views, knowledge, experiences, and scientific and technical results related to state-of-the-art solutions and technologies on virtual and augmented reality applications for medicine, cultural heritage, education, industrial sectors, as well as the demonstration of advanced products and technologies.

Roundtable on Data Science Postsecondary Education Book

Roundtable on Data Science Postsecondary Education


  • Author : National Academies of Sciences, Engineering, and Medicine
  • Publisher : National Academies Press
  • Release Date : 2020-09-02
  • Genre: Education
  • Pages : 223
  • ISBN 10 : 9780309677738

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Roundtable on Data Science Postsecondary Education Excerpt :

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

Data Science  New Issues  Challenges and Applications Book

Data Science New Issues Challenges and Applications


  • Author : Gintautas Dzemyda
  • Publisher : Springer Nature
  • Release Date : 2020-02-13
  • Genre: Computers
  • Pages : 313
  • ISBN 10 : 9783030392505

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Data Science New Issues Challenges and Applications Excerpt :

This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analyti

Data Science for Undergraduates Book

Data Science for Undergraduates


  • Author : National Academies of Sciences, Engineering, and Medicine
  • Publisher : National Academies Press
  • Release Date : 2018-11-11
  • Genre: Education
  • Pages : 138
  • ISBN 10 : 9780309475594

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Data Science for Undergraduates Excerpt :

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy


  • Author : John MacIntyre
  • Publisher : Springer Nature
  • Release Date : 2020-11-04
  • Genre: Computers
  • Pages : 863
  • ISBN 10 : 9783030627461

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Excerpt :

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.