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020 _a9783030697051
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024 7 _a10.1007/978-3-030-69705-1
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_2bicssc
072 7 _aTEC041000
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072 7 _aTJK
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082 0 4 _a621.382
_223
245 1 0 _aAdvances in Industrial Internet of Things, Engineering and Management
_h[electronic resource] /
_cedited by Dagmar Cagáňová, Natália Horňáková, Andy Pusca, Pedro Filipe Cunha.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 198 p. 96 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
505 0 _aIntroduction -- 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 _aThis 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.
650 0 _aTelecommunication.
_910437
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 0 _aTechnological innovations.
_97308
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aIndustrial and Production Engineering.
_931644
650 2 4 _aInnovation and Technology Management.
_933002
700 1 _aCagáňová, Dagmar.
_eeditor.
_0(orcid)0000-0002-6834-6126
_1https://orcid.org/0000-0002-6834-6126
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700 1 _aHorňáková, Natália.
_eeditor.
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700 1 _aPusca, Andy.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_950211
700 1 _aCunha, Pedro Filipe.
_eeditor.
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_950212
710 2 _aSpringerLink (Online service)
_950213
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030697044
776 0 8 _iPrinted edition:
_z9783030697068
776 0 8 _iPrinted edition:
_z9783030697075
830 0 _aEAI/Springer Innovations in Communication and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-69705-1
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