國立虎尾科技大學 |

Internet of Things for Indoor Air Quality Monitoring

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Internet of Things for Indoor Air Quality Monitoring/ by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques.
Author:	Saini, Jagriti.
other author:	Dutta, Maitreyee.
Description:	XIII, 82 p. 7 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-82216-3
ISBN:	9783030822163

Internet of Things for Indoor Air Quality Monitoring
Saini, Jagriti.

Internet of Things for Indoor Air Quality Monitoring[electronic resource] /by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques. - 1st ed. 2021. - XIII, 82 p. 7 illus., 6 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3712. - SpringerBriefs in Computational Intelligence,.

This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.

ISBN: 9783030822163

Standard No.: 10.1007/978-3-030-82216-3doiSubjects--Topical Terms:

569006
Computer engineering.

LC Class. No.: TK7885-7895

Dewey Class. No.: 621.38

Internet of Things for Indoor Air Quality Monitoring
LDR:02602nam a22004095i 4500 001 1051834
003 DE-He213
005 20210818160630.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030822163 $9 978-3-030-82216-3
024 7 $a 10.1007/978-3-030-82216-3 $2 doi
035 $a 978-3-030-82216-3
050 4 $a TK7885-7895
050 4 $a TK5105.8857
072 7 $a THR $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a THR $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 621.38 $2 23
100 1 $a Saini, Jagriti. $e author. $0 (orcid)0000-0001-6903-3722 $1 https://orcid.org/0000-0001-6903-3722 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1356431
245 1 0 $a Internet of Things for Indoor Air Quality Monitoring $h [electronic resource] / $c by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XIII, 82 p. 7 illus., 6 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Computational Intelligence, $x 2625-3712
520 $a This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
650 0 $a Computer engineering. $3 569006
650 0 $a Internet of things. $3 1023130
650 0 $a Embedded computer systems. $3 562313
650 0 $a Environment. $3 579342
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Cyber-physical systems, IoT. $3 1226036
650 2 4 $a Environment, general. $3 668450
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Dutta, Maitreyee. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1303374
700 1 $a Marques, Gonçalo. $e editor. $1 https://orcid.org/0000-0001-5834-6571 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1354645
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030822156
776 0 8 $i Printed edition: $z 9783030822170
830 0 $a SpringerBriefs in Computational Intelligence, $x 2625-3704 $3 1254760
856 4 0 $u https://doi.org/10.1007/978-3-030-82216-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)