rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Industrial internet of things (IIoT)
    sub title: intelligent analytics for predictive maintenance
  name:
    name part: Anandan, R.
    role:
      role term: editor.
  name:
    name part: Suseendran, G.
    role:
      role term: editor.
  name:
    name part: Pal, Souvik
    role:
      role term: editor.
  name:
    name part: Zaman, Noor
    name part: 1972-
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: INDUSTRIAL 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.
  table of contents: Front Matter -- A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field / Ana Carolina Borges Monteiro, Reinaldo Padilha França, 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
  note: edited by R. Anandan, G. Suseendran, Souvik Pal, Noor Zaman.
  note: Includes bibliographical references and index.
  subject:
    topic: Internet of things
    topic: Industrial applications
  subject:
    topic: Internet des objets
    topic: Applications industrielles
  classification: TK5105.8857
  classification: 004.678
  related item:
    title info:
      title: Industrial internet of things (IIoT)
    name:
      name part: Anandan, R., author.
    identifier: (OCoLC)1259526997
  related item:
    title info:
      title: Advances in learning analytics for intelligent cloud-IoT systems
  identifier: 9781119769026
  identifier: 1119769027
  identifier: 1119769000
  identifier: 9781119769002
  identifier: 9781119768777
  identifier: 9781119769002 Wiley
  identifier: 9781119768777 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: DG1
    record creation date: 220302
    record change date: 20260128203351.2
    record identifier: in00004670580
    language of cataloging:
      language term: eng