Guest Editorial Special Section on Cloud Computing, Edge Computing, Internet of Things, and Big Data Analytics Applications for Healthcare Industry 4.0

2019 ◽  
Vol 15 (1) ◽  
pp. 454-456 ◽  
Author(s):  
A. Celesti ◽  
O. Amft ◽  
M. Villari
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Guest Editorial ◽  
Special Section ◽  
Big Data Analytics ◽  
Edge Computing ◽  
Healthcare Industry

scholarly journals The Smart Triad : Big Data Analytics , Cloud Computing and Internet of Things to shape the Smart Home, Smart City, Smart Business & Smart Country

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3594-3600 ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Smart Home ◽  
Service Providers ◽  
Irrigation System ◽  
Electronic Devices ◽  
Big Data Analytics ◽  
User Privacy

Big data analytics, cloud computing & internet of things are a smart triad which have started shaping our future towards smart home, city, business, country. Internet of things is a convergence of intelligent networks, electronic devices, and cloud computing. The source of big data at different connected electronic devices is stored on cloud server for analytics. Cloud provides the readymade infrastructure, remote processing power to consumers of internet of things. Cloud computing also gives device manufacturers and service providers access to ―advanced analytics and monitoring‖, ―communication between services and devices‖, ―user privacy and security‖. This paper, presents an overview of internet of things, role of cloud computing & big data analytics towards IoT. In this paper IoT enabled automatic irrigation system is proposed that saves data over ―ThingSpeak‖ database an IoT analytics platform through ESP8266 wifi module. This paper also summarizes the application areas and discusses the challenges of IoT.

scholarly journals Guest Editorial: Special Section on Advances in Big Data Analytics for Management

2018 ◽  
Vol 15 (1) ◽  
pp. 10-12 ◽  
Author(s):  
Giuliano Casale ◽  
Yixin Diao ◽  
Marco Mellia ◽  
Rajiv Ranjan ◽  
Nur Zincir-Heywood
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Guest Editorial ◽  
Special Section ◽  
Big Data Analytics

scholarly journals Guest Editorial Special Section on Big Data Analytics in Intelligent Manufacturing

2019 ◽  
Vol 15 (4) ◽  
pp. 2382-2385 ◽  
Author(s):  
Kunpeng Zhu ◽  
Sanjay Joshi ◽  
Qing-Guo Wang ◽  
Jerry Fuh Ying Hsi
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Guest Editorial ◽  
Special Section ◽  
Big Data Analytics ◽  
Intelligent Manufacturing

Guest Editorial Special Issue on Big Data Analytics and Management in Internet of Things

2015 ◽  
Vol 2 (4) ◽  
pp. 265-267 ◽  
Author(s):  
Huansheng Ning ◽  
David G. Belanger ◽  
Yinglong Xia ◽  
Vincenzo Piuri ◽  
Albert Y. Zomaya
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Guest Editorial ◽  
Big Data Analytics ◽  
Special Issue ◽  
Editorial Special Issue

scholarly journals IEEE Access Special Section Editorial: Big Data Analytics in the Internet-Of-Things And Cyber-Physical Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 18070-18075 ◽  
Author(s):  
Zhihan Lv ◽  
Houbing Song ◽  
Jaime Lloret ◽  
Dongkyun Kim ◽  
Jose-Neuman De Souza
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Special Section ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
The Internet Of Things

scholarly journals An Analysis of Big Data Analytics, IoT and Augmented Banking on Consumer Loan Banking Business in Germany

2021 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Maulibian Putra
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Secondary Data ◽  
Academic Literature ◽  
Consumer Loans ◽  
Banking Business ◽  
Data Analytic

This research aims to analyze the particular component of industry 4.0 applying in the consumer loans banking business. Industry 4.0 comprises of a lot of technological advantages, this research selected three components of industry 4.0; Big data analytic, Internet of Things (IoT), and Augmented reality in banking. Secondary data are used to conduct this research, collected from the previous research and the academic literature. At first, this research explains why the consumer loans banking business in Europe, especially in Germany, needs to integrate Industry 4.0. secondly, this research analyzes the suitable component of industry 4.0 into the consumer loans banking business. The findings of this research deliver an essential piece of analysis to the consumer loans banking business' stakeholder with direction on implementing industry 4.0 into their business.

scholarly journals Wissens- und lernorientierte Instandhaltung unter dem Aspekt zunehmender Digitalisierung

2020 ◽  
Author(s):  
Cornelia Huber ◽  
Theresa Passath ◽  
Hubert Biedermann
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Smart Factory

Zusammenfassung Die Digitalisierung bietet Industrieunternehmen eine Vielzahl von Möglichkeiten und Lösungen (z. B. Big Data Analytics, Cloud-Computing, Internet of Things), die mit zunehmenden Anforderungen an das Wissensmanagement verbunden sind. Ein angepasstes Assetmanagement zur Sicherstellung von Markterfolgsfaktoren sind für die Smart Factory unerlässlich. Ein ganzheitliches wertschöpfungsorientiertes Managementkonzept bietet die Lean Smart Maintenance Philosophie, das den geänderten Umfeldbedingungen Rechnung tragend, eine dynamisch anpassbare Instandhaltungsstrategie ermöglicht. Insbesondere die Ressource Wissen gewinnt in Anbetracht einer ständig steigenden Anlagenkomplexität in Form der wissen- und lernorientierten Instandhaltung an Bedeutung, damit zukünftig der Einsatz neuer Technologien nachhaltig wirtschaftlich ist. In diesem Zusammenhang wird nachstehend eine praxisnahe Vorgehensmethodik präsentiert, die die Externalisierung impliziten Wissens durch die Kombination der Wissensbausteine nach Probst mit dem DMAIC-Zyklus unterstützt. Die Digitalisierung induziert geänderte Anforderungen an die Mitarbeiter und Mitarbeiterinnen; geeignete Qualifizierungsmaßnahmen sollten für die bestmögliche Weiterentwicklung der Humanressourcen frühzeitig erkannt und implementiert werden.

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