國立虎尾科技大學 |

Internet of Things Integrated Augmented Reality

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Internet of Things Integrated Augmented Reality/ by Gitanjali Rahul Shinde, Prashant Shantaram Dhotre, Parikshit Narendra Mahalle, Nilanjan Dey.
作者:	Shinde, Gitanjali Rahul.
其他作者:	Dey, Nilanjan.
面頁冊數:	XIII, 78 p. 28 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-15-6374-4
ISBN:	9789811563744

Internet of Things Integrated Augmented Reality
Shinde, Gitanjali Rahul.

Internet of Things Integrated Augmented Reality[electronic resource] /by Gitanjali Rahul Shinde, Prashant Shantaram Dhotre, Parikshit Narendra Mahalle, Nilanjan Dey. - 1st ed. 2021. - XIII, 78 p. 28 illus., 25 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3712. - SpringerBriefs in Computational Intelligence,.

Introduction -- IoT Overview -- Emerging Trends in IoT -- IoT Use Cases -- Energy and Utilities -- Context Management in IoT -- Context and Context Management -- Context-aware Architecture -- Augmented Reality and IoT -- Augmented Reality and IoT design Issues -- Augmented Reality and IoT enabled Architecture -- Conclusions.

This book discusses the use of converged technology, a rapidly growing area that enhancements smart devices, communication, Internet of things (IoT), and augmented reality (AR). The book also explores the need for convergence of IoT and AR for various purposes, like personalized services, context awareness, and bridging the gap between the physical and digital world. Furthermore, it examines the implementation of IoT and AR in use cases to define pathways that allow application developers to design modern solutions to satisfy requirements like scalability, abstraction and security. Featuring an introduction, and covering sensing techniques, and effective architecture in AR-based IoT real-time use cases, the book also addresses the issues and challenges in designing standard architecture and middleware to support diverse applications. Given its scope, it is a valuable resource for teachers and students in engineering, as well as researchers, developers, and users working in multi-disciplinary areas.

ISBN: 9789811563744

Standard No.: 10.1007/978-981-15-6374-4doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Internet of Things Integrated Augmented Reality
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