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008			220226s2021 sz | s |||| 0|eng d
020			_a9783030697051
024	7		_a10.1007/978-3-030-69705-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2021 EB
245	1	0	_aAdvances in Industrial Internet of Things, Engineering and Management _cedited by Dagmar Cagáňová, Natália Horňáková, Andy Pusca, Pedro Filipe Cunha
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (X, 198 páginas) _b 96 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
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	3		_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.
988			_aSpringer_Engineering_2021
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9143360 _aIngeniería industrial
700	1		_aCagáňová, Dagmar _eeditor literario _1 _4 _4http://id.loc.gov/vocabulary/relators/edt _9682523
700	1		_aHorňáková, Natália _eeditor literario _1 _4 _4http://id.loc.gov/vocabulary/relators/edt _9682524
700	1		_aPusca, Andy _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682525
700	1		_aCunha, Pedro Filipe _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682526
776	0	8	_iPrinted edition: _z9783030697044
776	0	8	_iPrinted edition: _z9783030697068
776	0	8	_iPrinted edition: _z9783030697075
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-69705-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eIG _zSI