000			06308cam a2200601 i 4500
001			on1301394430
003			OCoLC
005			20240523125543.0
006			m o d
007			cr un|---aucuu
008			220302s2022 nju ob 001 0 eng d
040			_aDG1 _beng _erda _epn _cDG1 _dOCLCO _dUKMGB _dORMDA _dN$T _dOCLCQ _dOCLCA _dOCLCO _dOCLCL _dOCLCQ
015			_aGBC236903 _2bnb
016	7		_a020502853 _2Uk
020			_a9781119769026 _q(electronic bk. : oBook)
020			_a1119769027 _q(electronic bk. : oBook)
020			_a1119769000
020			_a9781119769002 _q(electronic bk.)
020			_z9781119768777
024	7		_a10.1002/9781119769026 _2doi
029	1		_aAU@ _b000071250389
029	1		_aUKMGB _b020502853
035			_a(OCoLC)1301394430
037			_a9781119769002 _bWiley
037			_a9781119768777 _bO'Reilly Media
050		4	_aTK5105.8857
082	0	4	_a004.678 _223
049			_aMAIN
245	0	0	_aIndustrial internet of things (IIoT) : _bintelligent analytics for predictive maintenance / _cedited by R. Anandan, G. Suseendran, Souvik Pal, Noor Zaman.
264		1	_aHoboken, NJ : _bWiley ; _aBeverly, MA : _bScrivener Publishing, _c2022.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aAdvances in learning analytics for intelligent cloud-IoT systems
505	0		_aFront Matter -- A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field / Ana Carolina Borges Monteiro, Reinaldo Padilha Fran�ca, Rangel Arthur, Yuzo Iano, Andrea Coimbra Segatti, Giulliano Paes Carnielli, Julio Cesar Pereira, Henri Alves Godoy, Elder Carlos Fernandes -- Analysis on Security in IoT Devices-An Overview / T Nalini, T Murali Krishna -- Smart Automation, Smart Energy, and Grid Management Challenges / J Gayathri Monicka, C Amuthadevi -- Industrial Automation (IIoT) 4.0: An Insight Into Safety Management / C Amuthadevi, J Gayathri Monicka -- An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques / Kuntal Bhattacharjee, Akhilesh Arvind Nimje, Shanker D Godwal, Sudeep Tanwar -- Recent Advances in Wearable Antennas: A Survey / Harvinder Kaur, Paras Chawla -- An Overview of IoT and Its Application With Machine Learning in Data Center / Manikandan Ramanathan, Kumar Narayanan -- Impact of IoT to Meet Challenges in Drone Delivery System / J Ranjani, P Kalaichelvi, VKG Kalaiselvi, D Deepika Sree, K Swathi -- IoT-Based Water Management System for a Healthy Life / N Meenakshi, V Pandimurugan, S Rajasoundaran -- Fuel Cost Optimization Using IoT in Air Travel / P Kalaichelvi, V Akila, J Ranjani, S Sowmiya, C Divya -- Object Detection in IoT-Based Smart Refrigerators Using CNN / R Ashwathan, Victy Phamila Y Asnath, S Geetha, K Kalaivani -- Effective Methodologies in Pharmacovigilance for Identifying Adverse Drug Reactions Using IoT / Latha Parthiban, Maithili Devi Reddy, A Kumaravel -- Impact of COVID-19 on IIoT / K Priyadarsini, S Karthik, K Malathi, MVV Rama Rao -- A Comprehensive Composite of Smart Ambulance Booking and Tracking Systems Using IoT for Digital Services / Sumanta Chatterjee, Pabitra Kumar Bhunia, Poulami Mondal, Aishwarya Sadhu, Anusua Biswas -- An Efficient Elderly Disease Prediction and Privacy Preservation Using Internet of Things / Resmi G Nair, N Kumar -- Index -- Also of Interest
504			_aIncludes bibliographical references and index.
588	0		_aPrint version record.
520			_aINDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by Advancing hands-on experience working with industrial architecture Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.
590			_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks
650		0	_aInternet of things _xIndustrial applications.
650		6	_aInternet des objets _xApplications industrielles.
700	1		_aAnandan, R., _eeditor.
700	1		_aSuseendran, G., _eeditor.
700	1		_aPal, Souvik, _eeditor.
700	1		_aZaman, Noor, _d1972- _eeditor.
758			_ihas work: _aIndustrial internet of things (IIoT) (Text) _1https://id.oclc.org/worldcat/entity/E39PCFVPbbxHd4yCQFrKGYQHyb _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aAnandan, R., author. _tIndustrial internet of things (IIoT) _z9781119768777 _w(OCoLC)1259526997
830		0	_aAdvances in learning analytics for intelligent cloud-IoT systems.
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119769026
938			_aEBSCOhost _bEBSC _n3174626
994			_a92 _bINLUM
999			_c12868 _d12868