東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Principles of Internet of Things (Io...

Peng, Sheng-Lung.

Linked to FindBook

Google Book

Amazon

博客來

Principles of Internet of Things (IoT) Ecosystem = insight paradigm /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Principles of Internet of Things (IoT) Ecosystem/ edited by Sheng-Lung Peng, Souvik Pal, Lianfen Huang.
Reminder of title:	insight paradigm /
other author:	Peng, Sheng-Lung.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xxxii, 626 p. :ill., digital ;24 cm.
[NT 15003449]:	Internet of Things: Foundation -- A Framework of Learning and Communication with IoT- enabled Ecosystem -- Paradigms for Intelligent IOT Architecture.
Contained By:	Springer eBooks
Subject:	Internet of things. -
Online resource:	https://doi.org/10.1007/978-3-030-33596-0
ISBN:	9783030335960

Principles of Internet of Things (IoT) Ecosystem = insight paradigm /
Principles of Internet of Things (IoT) Ecosysteminsight paradigm /[electronic resource] :edited by Sheng-Lung Peng, Souvik Pal, Lianfen Huang. - Cham :Springer International Publishing :2020. - xxxii, 626 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1741868-4394 ;. - Intelligent systems reference library ;v.174..

Internet of Things: Foundation -- A Framework of Learning and Communication with IoT- enabled Ecosystem -- Paradigms for Intelligent IOT Architecture.

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.

ISBN: 9783030335960

Standard No.: 10.1007/978-3-030-33596-0doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857 / .P756 2020

Dewey Class. No.: 004.678

Principles of Internet of Things (IoT) Ecosystem = insight paradigm /
LDR:02985nmm a2200337 a 4500 001 2214699
003 DE-He213
005 20200317143135.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030335960 $q (electronic bk.)
020 $a 9783030335953 $q (paper)
024 7 $a 10.1007/978-3-030-33596-0 $2 doi
035 $a 978-3-030-33596-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.8857 $b .P756 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 004.678 $2 23
090 $a TK5105.8857 $b .P957 2020
245 0 0 $a Principles of Internet of Things (IoT) Ecosystem $h [electronic resource] : $b insight paradigm / $c edited by Sheng-Lung Peng, Souvik Pal, Lianfen Huang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxxii, 626 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.174
505 0 $a Internet of Things: Foundation -- A Framework of Learning and Communication with IoT- enabled Ecosystem -- Paradigms for Intelligent IOT Architecture.
520 $a This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.
650 0 $a Internet of things. $3 2057703
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Peng, Sheng-Lung. $3 3269963
700 1 $a Pal, Souvik. $3 3444523
700 1 $a Huang, Lianfen. $3 3445462
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.174. $3 3445463
856 4 0 $u https://doi.org/10.1007/978-3-030-33596-0
950 $a Intelligent Technologies and Robotics (Springer-42732)