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Advances in Industrial Internet of Things, Engineering and Management
Title
Advances in Industrial Internet of Things, Engineering and Management [electronic resource] / edited by Dagmar Cagáňová, Natália Horňáková, Andy Pusca, Pedro Filipe Cunha.
ISBN
9783030697051
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (X, 198 p.) 96 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book presents the trends, challenges, and advances in Internet of Things (IoT) in the areas of industrial management and industrial engineering. The authors look at how smart environments (smart city, smart university, smart regions, smart transportation, etc.) affect the way industrial management and industrial engineering are envisioned, planned, and applied and how engineers must incorporate new ideas and methods now and in the future. Some topics include the impact of ICT on the emergency response vehicle driving time, car accident detecting systems based on machine learning algorithms, smart city platforms based on citizen reporting services, and IoT-based household energy consumption prediction using machine learning. The book brings together contributions from academics and practitioners from around the world to discuss the intersection of IoT, industry and management. Discusses how industrial management and industrial engineering are affected by IoT; Addresses common questions about the growing connectedness of global and modern societies; Features contributions from experts in Industrial Engineering, Modern Management, and Industrial IoT.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 03, 2021
Series
EAI/Springer Innovations in Communication and Computing,
Contents
Introduction
Basic Stations Work Optimization in Cellular Communication Network
The analysis of different materials used for an electric car charger shell under the wind influence
Impact of ICT on Emergency Response Vehicle Driving Time in a Vicinity of Large Events
Developing Car Accident Detecting System Based on Machine Learning Algorithms Applied to Video Recordings Data
Smart City platform based on citizen reporting services
Stages of the Virtual Technical Functions Concept Networks Development
IoT-based Household Energy Consumption Prediction Using Machine Learning
Management Decision-Making for Logistics Systems Based on a Fuzzy-Neural Model
Conclusion.
Subjects
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