Internet of Things Sensing Networks, Artificial
Intelligence-based Decision-Making Algorithms, and Real-Time
Process Monitoring in Sustainable Industry 4.0

J 2021

Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0

NICA, Elvira a Vojtěch STEHEL

Základní údaje

Originální název

Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0

Autoři

NICA, Elvira (garant) a Vojtěch STEHEL (203 Česká republika, domácí)

Vydání

Journal of Self-Governance and Management Economics, New York, USA, Addleton Academic Publishers, 2021, 2329-4175

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/75081431:_____/21:00002171

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova anglicky

sustainability; Industry 4.0; Internet of Things; sensing network; big data

Štítky

BPL_FIP_2, RIV21, SCOPUS

Změněno: 21. 4. 2022 07:16, Mgr. Nikola Petříková

Anotace

V originále

This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, artificial intelligence-based decision making algorithms, and real-time process monitoring in sustainable Industry 4.0. Building our argument by drawing on data collected from Algorithmia, BCG, Deloitte, the Economist Intelligence Unit, Management Events, McKinsey, Ovum, PwC, and Techconsult, we performed analyses and made estimates regarding inter connected data processing in smart manufacturing and business analytics. Data collected from 6,200 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Přiložené soubory

Internet_of_Things_Sensing_Networks.pdf

Požádat o autorskou verzi souboru

Citovat

NICA, Elvira a Vojtěch STEHEL. Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0. Journal of Self-Governance and Management Economics. New York, USA: Addleton Academic Publishers, 2021, roč. 9, č. 3, s. 35-47. ISSN 2329-4175.

@article{60341,
   author = {Nica, Elvira and Stehel, Vojtěch},
   article_location = {New York, USA},
   article_number = {3},
   keywords = {sustainability; Industry 4.0; Internet of Things; sensing network; big data},
   language = {eng},
   issn = {2329-4175},
   journal = {Journal of Self-Governance and Management Economics},
   title = {Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0},
   url = {https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4065-internet-of-things-sensing-networks-artificial-intelligence-based-decision-making-algorithms-and-real-time-process-monitoring-in-sustainable-industry-4-0},
   volume = {9},
   year = {2021}
}

TY  - JOUR
ID  - 60341
AU  - Nica, Elvira - Stehel, Vojtěch
PY  - 2021
TI  - Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0
JF  - Journal of Self-Governance and Management Economics
VL  - 9
IS  - 3
SP  - 35-47
EP  - 35-47
PB  - Addleton Academic Publishers
SN  - 23294175
KW  - sustainability
KW  - Industry 4.0
KW  - Internet of Things
KW  - sensing network
KW  - big data
UR  - https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4065-internet-of-things-sensing-networks-artificial-intelligence-based-decision-making-algorithms-and-real-time-process-monitoring-in-sustainable-industry-4-0
N2  - This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, artificial intelligence-based decision making algorithms, and real-time process monitoring in sustainable Industry 4.0. Building our argument by drawing on data collected from Algorithmia, BCG, Deloitte, the Economist Intelligence Unit, Management Events, McKinsey, Ovum, PwC, and Techconsult, we performed analyses and made estimates regarding inter connected data processing in smart manufacturing and business analytics. Data collected from 6,200 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
ER  -

NICA, Elvira a Vojtěch STEHEL. Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0. \textit{Journal of Self-Governance and Management Economics}. New York, USA: Addleton Academic Publishers, 2021, roč.~9, č.~3, s.~35-47. ISSN~2329-4175.

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