[agents] SI on Integrating Process Management Technology with Sensor Data

[ruediger.pryss at uni-ulm.de]

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                              CALL FOR PAPERS
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            Integrating Process Management Technology with Sensor Data

     http://www.mdpi.com/journal/sensors/special_issues/Integrating_Sensor_Data

				Impact Factor: 2.475

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			Deadline for manuscript submissions:
			30 January 2019
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Process management technology has contributed to the advancement of  
process-aware enterprise
information systems (PAIS) for more than a decade. Modern companies  
have adopted research
results from the business process management (BPM) field to keep pace  
with the challenges
emerging due to increasing customer demands. Meanwhile, Millennials  
have fanned the use of
mobile technology in everyday life, as well as for many businesses.  
Consequently, enterprises
need to enhance their process-aware information systems to properly  
integrate smart mobile
devices in a flexible and cost-effective way. Along this trend, the  
sensor capabilities of
mobile devices have increased by magnitude of orders enabling an  
advanced support of business
processes and their activities. In the era of the Internet of Things,  
in addition, numerous
sensors emerged that are used ubiquitously in everyday business on a  
cheap and effective basis.
Especially in the light of Industry 4.0 and cyber-physical systems,  
manufacturers crave for the
integration of sensor technology and sensor data with their  
process-aware information systems. As
the latter provide a well-defined context, the context-aware  
integration of sensors and sensor
data becomes powerfully possible.

The aim of this Special Issue is to investigate upcoming challenges,  
research opportunities, and
technologies emerging along the described trends. In particular, the  
Special Issue shall investigate:

-The impact of considering sensor data on the various stages of the  
business process lifecycle, i.e.,
  modeling, implementation and configuration, deployment, enactment,  
monitoring, dynamic adaptation, mining
  and evolution of business processes.
-The impact of considering business processes on the way sensors  
systems and networks are built or
  reorganized.

This Special Issue aims to provide a comprehensive overview of  
state-of-the-art sensor technology in the light
of business process management. We invite research articles that will  
consolidate the understanding of the
state-of-the-art in this area. The Special Issue will publish full  
research, review, and highly rated
manuscripts on the integration of process technology with sensor data,  
addressing—amongst others—one of
the following topics:

* Sensor-enriched process tasks
* Sensor data processing and event management
* System architectures
* Wearables and mobile sensors
* Sensor categories and their relevance for business process support
* Resource tracking and management (e.g., humans vs. robots)
* Sensor- and context-driven processes
* Virtual and augmented reality support for business processes / tasks
* Aligning digital processes with processes from the physical world
* Predictive processes based on sensor data
* Sensor-based detection of discrepancies between digital and real process
* Business process support in the era of the Internet/Web of Things
* Industry 4.0 and Industrial Internet of Things
* Sensor-based exception discovery and handling
* Equipping process resources (incl. humans) with sensors
* Combining process mining with sensor data support

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About MDPI Sensors
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Sensors (ISSN 1424-8220) provides an advanced forum for the science  
and technology of
sensors and biosensors. It publishes reviews (including comprehensive  
reviews on the
complete sensors products), regular research papers and short notes.  
Our aim is to encourage
scientists to publish their experimental and theoretical results in as  
much detail as
possible. There is no restriction on the length of the papers. The  
full experimental
details must be provided so that the results can be reproduced.

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Important Dates
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Deadline for manuscript submissions:
30 January 2019

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Submission Guidelines
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Manuscripts should be submitted online at www.mdpi.com by registering and
logging in to this website. Once you are registered, click here to go to the
submission form. Manuscripts can be submitted until the deadline. All papers
will be peer-reviewed. Accepted papers will be published continuously in the
journal (as soon as accepted) and will be listed together on the special issue
website. Research articles, review articles as well as short  
communications are
invited. For planned papers, a title and short abstract (about 100 words) can
be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under
consideration for publication elsewhere (except conference proceedings  
papers).
All manuscripts are thoroughly refereed through a single-blind peer-review
process. A guide for authors and other relevant information for submission
of manuscripts is available on the Instructions for Authors page.  
Sensors is an
international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript.
The Article Processing Charge (APC) for publication in this open  
access journal
is 1800 CHF (Swiss Francs). Submitted papers should be well formatted  
and use good
English. Authors may use MDPI's English editing service prior to  
publication or
during author revisions.

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Guest Associate Editors
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*Rüdiger Pryss, Ulm University, Germany
*Massimo Mecella, Sapienza Università di Roma, Italy
*Samir Tata, Institut Mines-Télécom, France
*Manfred Reichert, Ulm University, Germany