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Conference Proceedings ISBN: 978-1-912532-07-0. The proceedings will be also submitted to Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus for indexation.

 

Special Issue:

INAIT 2019 Conference Committee TPC Member (Kezhi Li, Imperial College London, UK) who his the Guest Editor for the Special Issue below, encourage best accepted papers to submit their extended versions to the SI of IEEE Access.

Submission Deadline: 31 October 2018

Journal: IEEE Access® is a multidisciplinary, applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE's fields of interest. IEEE Access received a high impact factor of 3.244 in 2016.
SI Title: Theory, Algorithms, and Applications of Sparse Recovery

IEEE Access invites manuscript submissions in the area of Theory, Algorithms, and Applications of Sparse Recovery.

Sparse recovery is a fundamental problem in the fields of compressed sensing, signal de-noising, statistical model selection, and more. The key idea of sparse recovery lies in that a suitably high dimensional sparse signal can be inferred from very few linear observations. Recent years have witnessed a great development of the sparse recovery theory and fruitful applications in the general field of information processing, including communications channel estimation, dictionary leaning, data compression, optical imaging, machine learning etc. Extensions to the recovery of low-rank matrices and higher order tensors from incomplete linear information have also been developed, and remarkable achievements have been achieved.

Associate Editor: Jinming Wen, University of Toronto, Canada

Guest Editors:

  1. Jian Wang, Fudan University, China
  2. Bo Li, Nuance Communication, Canada
  3. Xin Yuan, Nokia Bell Labs, USA
  4. Kezhi Li, Imperial College London, UK

 Read More here!

 

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Book Title: Industrial Internet of Things and Smart Manufacturing

Publisher: Springer Series: Lecture Notes on Data Engineering and Communications Technologies LNDECT

Book Chapter Template:

Springer provides templates for Word users that help structure the manuscript, e.g., define the heading hierarchy. Predefined style formats are available for all the necessary structures that are supposed to be part of the manuscript, and these formats can be quickly accessed via hotkeys or special toolbars.

 

Note: These templates are not intended for the preparation of the final page layout! The final layout will be created by Springer according to our layout specifications.

 

 

Springer provides templates for LaTeX users that help structure the manuscript, e.g., define the heading hierarchy. Predefined style formats are available for all the necessary structures that are supposed to be part of the manuscript, and these formats can be quickly accessed via hotkeys or special toolbars.

 

Note: The template is not intended for the preparation of the final page layout! The final layout will be created by Springer according to our layout specifications.

 

LaTeX2e macro packages for

 

 

 

 

Chapters Structure: Link

  

Editors:
Faouzi Hidoussi, Corgascience Company Limited, Qatar
Sedat Akleylek, Department of Computer Engineering, Ondokuz Mayıs University, Turkey


By now all we are heard about the Internet of things (IoT), actually millions of devices will be connected to the Internet, as devices connect to each other‛s they can share data over the cloud and analyze it, they transform our businesses, our lives, and our world in countless ways, whatever improving medical outcomes, creating better products faster with low development cost, making shopping more enjoyable or optimizing energy generation for example. In the future most of homes, bodies, and cars will connect to the Internet. The application of the IoT to the manufacturing industry is called the IIoT (or Industrial Internet of Things or Industry 4.0).

The industrial Internet of things will transform the term manufacturing to smart manufacturing by enabling the acquisition and accessibility of far greater amounts of data, at far greater speeds, and far more efficiently than before. Using intelligent connected devices, A number of innovative companies have started to implement the IIoT in their factories.

Like or domains, many challenges facing Industrial Internet of Things and Smart Manufacturing,what devices and application to be used?, what communication medium will be used (radio for example)?, which protocols are supported to use in these devices? And finally most importantly which type of data has been transported? The problem is that Industrial Internet of Things devices are being developed and released faster than our ability to secure them.

The book aims to provide an overview of specific topics of Industrial Internet of Things​, Smart Manufacturing​, Data Technologies, Security​, Lightweight Cryptographic Protocols and their applications​:

Accepted and registered papers from International Conference on Industrial Internet of Things and Smart Manufacturing will be invited for this Book to submit a book chapter.

 

Topics:

Industrial Internet of Things:

  • Applications and Services of Industrial IoT.
  • Architectures of Industrial IoT.
  • Big data and analysis in Industrial IoT.
  • Cloud computing for Industrial IoT.
  • Communication Protocols for Industrial IoT.
  • Control and Optimization of Industrial IoT.
  • Data Engineering.
  • Data Security and Privacy in Industrial IoT.
  • Efficiency, Availability, Reliability, Robustness, and Fault-Tolerance.
  • Information Management for Industrial IoT.
  • Information Security.
  • IPV6.
  • Lightweight Cryptographic Protocols for IoT.
  • Sensors and Actuator Networks for Industrial IoT.
  • Sensors and Hardware Programming.
  • Simulation and Experiment Regarding Industrial IoT.
  • Smart Cities (Smart parking, Smartphone detection, Traffic congestion, etc.).
  • Smart Grids.
  • Software/middleware in Industrial IoT.
  • Understanding Networks and Networking Protocols.

 


Smart Manufacturing:

  • Advanced Diagnostics, Prognostics and Asset Health Management.
  • Advanced Production and Information Technologies for Industry 4.0.
  • Autonomous, Adaptation and Reconfiguration Properties of Cyber-Physical Systems.
  • Big Data Analytics for Service Industry.
  • Cloud Computing for Production and Service Industry.
  • Cyber Security Issues for Smart Manufacturing Systems.
  • Edge Computing.
  • Embedded Systems for Smart Manufacturing.
  • Emerging Sensing Technologies for Smart Manufacturing and Supply Chain Management.
  • Human Machine Interactions for Smart Manufacturing.
  • Industry 4.0.
  • Internet of Things (IoT) Applications for Industry 4.0.
  • Machine-to- machine communication standards for Smart Manufacturing.
  • Manufacturing Intelligence .
  • Sensor-Enabled Manufacturing Process Monitoring and Control.
  • Signal Processing.
  • Wearable Technologies.

 

 

 

International Conference on Industry 4.0 and Artificial Intelligence Technologies (INAIT 2019)