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Internet of Things
(Englisch)
Cases and Studies

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Internet of Things

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  • Springer Basel AG
    Picassoplatz 4
    CH-4010 Basel
    +41 61 2050707
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  • 628806707

Produktbeschreibung

This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline.

It is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments. 



Introduction to Internet of Things: Cases and Studies.- Chapter 1: Blockchain as a complementary technology for the Internet of Things: A survey.- Chapter 2: Enablers and inhibitors for IoT implementation.- Chapter 3: The combination of AI, Blockchain and the internet of things for patient relationship management.- Chapter 4: Bibliomeric characteristics of highly cited papers on Internet of Things assessed with Essential Science Indicators.- Chapter 5: A Macroeconomic Aspect of IoT services: Their Marginal Costs.- Chapter 6: Biclustering Analysis of Countries using COVID-19 Epidemiological Data.- Chapter 7: IoT Applications in Health Care.- Chapter 8: An interactive visiting system using BLE devices.- Chapter 9: Systematic Market and Asset Liquidity Risk Processes for Machine Learning: Robust Modeling Algorithms for Multiple-Assets Portfolios.- Chapter 10: Context Modelling in Ambient Assisted Living: Trends and Lessons.- Chapter 11: Design of Algorithm for IoT Based Application: CaseStudy on Intelligent Transport Systems.- Chapter 12: Examining Spatial Movement Patterns of Travelers: Cases in Tourist Destinations.- Chapter 13: Use of UAVs, computer vision and IoT for traffic analysis.


Fausto Pedro García Márquez is a professor at UCLM, Spain. He has published more than 150 papers, he is Editor of 5 International Journals, Committee Member of more than 40 International Conferences. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, Data Science. He is Director of www.ingeniumgroup.eu

Benjamin Lev is the University Trustee Professor at LeBow College of Business, Drexel University, Philadelphia, Pennsylvania, USA. He has published sixteen books and is the Editor-in-Chief of OMEGA-The International journal of Management Science; Co-Editor-in-Chief of International Journal of Management Science and Engineering Management; and serves on several other journal editorial boards (INFORMS JAA (formerly Interfaces), IAOR, ORPJ, Financial Innovation, OPSEARCH, IDIM, IIE-Transactions, ERRJ, INFORMS JOR).


Über den Autor



Fausto Pedro García Márquez is a professor at UCLM, Spain. He has published more than 150 papers, he is Editor of 5 International Journals, Committee Member of more than 40 International Conferences. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, Data Science. He is Director of www.ingeniumgroup.eu

Benjamin Lev is the University Trustee Professor at LeBow College of Business, Drexel University, Philadelphia, Pennsylvania, USA. He has published sixteen books and is the Editor-in-Chief of OMEGA-The International journal of Management Science; Co-Editor-in-Chief of International Journal of Management Science and Engineering Management; and serves on several other journal editorial boards (INFORMS JAA (formerly Interfaces), IAOR, ORPJ, Financial Innovation, OPSEARCH, IDIM, IIE-Transactions, ERRJ, INFORMS JOR).


Inhaltsverzeichnis



Introduction to Internet of Things: Cases and Studies.- Chapter 1: Blockchain as a complementary technology for the Internet of Things: A survey.- Chapter 2: Enablers and inhibitors for IoT implementation.- Chapter 3: The combination of AI, Blockchain and the internet of things for patient relationship management.- Chapter 4: Bibliomeric characteristics of highly cited papers on Internet of Things assessed with Essential Science Indicators.- Chapter 5: A Macroeconomic Aspect of IoT services: Their Marginal Costs.- Chapter 6: Biclustering Analysis of Countries using COVID-19 Epidemiological Data.- Chapter 7: IoT Applications in Health Care.- Chapter 8: An interactive visiting system using BLE devices.- Chapter 9: Systematic Market and Asset Liquidity Risk Processes for Machine Learning: Robust Modeling Algorithms for Multiple-Assets Portfolios.- Chapter 10: Context Modelling in Ambient Assisted Living: Trends and Lessons.- Chapter 11: Design of Algorithm for IoT Based Application: CaseStudy on Intelligent Transport Systems.- Chapter 12: Examining Spatial Movement Patterns of Travelers: Cases in Tourist Destinations.- Chapter 13: Use of UAVs, computer vision and IoT for traffic analysis.


Klappentext

This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline.nnnIt is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments.




Shares successful application of the IoT discipline in real life cases and theoretical approaches

Provides relevant frameworks and empirical research findings of OR/MS applied to IoT

Intended for professionals who wish to develop new OR/MS skills in IoT



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