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Advances in industrial Internet of T...

Caganova, Dagmar.

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Advances in industrial Internet of Things, engineering and management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in industrial Internet of Things, engineering and management/ edited by Dagmar Caganova ... [et al.].
其他作者:	Caganova, Dagmar.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 198 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Internet of things. -
電子資源:	https://doi.org/10.1007/978-3-030-69705-1
ISBN:	9783030697051

Advances in industrial Internet of Things, engineering and management
Advances in industrial Internet of Things, engineering and management[electronic resource] /edited by Dagmar Caganova ... [et al.]. - Cham :Springer International Publishing :2021. - x, 198 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030697051

Standard No.: 10.1007/978-3-030-69705-1doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857 / .A38 2021

Dewey Class. No.: 004.678

Advances in industrial Internet of Things, engineering and management
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505 0 $a 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.
520 $a 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.
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