Systems, Man & Cybernetics - January 2015 - 31

2014 Andrew P. Sage Best Paper Award Winners

giancarlo Fortino

roberta
giannantonio

raffaele gravina

(From left) Larry Hall, michael
H. Smith, and giancarlo Fortino.

nonlinear systems control and fault
detection on thermoelectric conversion processes and plants with smart
material actuators. He contributed
a book, Operator-Based Nonlinear
Control Systems Design and Applications, to the SMCS-sponsored  IEEE/
Wiley book series on systems science and engineering. He is the
author or coauthor of more than 125
peer-reviewed journal papers and
180 international conference proceeding papers.
Prof. Deng received his B.S. and
M.S. degrees from Northeastern University, China, and his Ph.D. degree
in systems science from Kumamoto University, Japan, in 1997. From
1997 to 2010, he was with Kumamoto
University; the University of Exeter,
United Kingdom; NTT Communication Science Laboratories, Japan;
and Okayama University, Japan.
At the Tokyo University of Agriculture and Technology, Japan, Prof.
Deng specializes in three complement a r y a rea s: operator-ba sed
nonlinear fault detection and faulttolera nt control system design,
system design on thermoelectric
conversion elements, and applications on smart material actuators.
Prof. Deng has over 300 publications, including 125 journal papers,
and nine books (or chapters). He
serves as a chief editor for International Journal of Advanced Mechatronic Systems and Global Journal
of Technology and Optimization
and an associate editor of six international journals, including IEEE

Philip Kuryloski

roozbeh Jafari

Transactions on Automation Science and Engineering.
2014 Andrew P. Sage
Best Paper Award
The recipient of the 2014 Andrew P.
Sage Best Paper Award was "Enabling
Effective Programming and Flexible
Management of Efficient Body Sensor
Network Applications" by Giancarlo
Fortino, Roberta Giannantonio, Raffaele Gravina, Philip Kuryloski, and
Roozbeh Jafari, IEEE Transactions
on Human-Machine Systems, vol. 43,
no. 1, pp. 115-133.
Abstract
The paper addressed and solved
challenging issues that limited the
wide diffusion of wireless body
sensor networks (BSNs) in real-life
contexts by providing novel methodological and technological solutions
that are both effective and efficient.
In particular, the tackled issues primarily concern the programming
complexity of BSN systems due to
the lack of domain-specific high-level
software abstractions. After analyzing and comparing the state-of-theart solutions for BSN programming
and eliciting the most important
requirements for an effective BSNspecific software framework, which
Ja nu a r y 2015

enable efficient signal-processingintensive applications, we presented
the signal processing in-node environment (SPINE) middleware, an
open-source domain-specific programming framework designed to
support rapid prototyping and flexible management of BSN applications.
We described how SPINE efficiently addresses the elicited requirements while providing performance
analysis on the most common BSNoriented hardware/software sensor platforms. The effectiveness of
SPINE was demonstrated through
practical examples related to highi mpa ct BSN appl icat ion s (e.g.,
activity monitoring, physical rehabilitation, gait analysis, emotion, and
gesture detection) that were entirely
developed using SPINE. Finally, the
paper presented a novel development
methodology for BSN applications
that reuses the well-known platform-based design concepts and the
SPINE platform.
About the Authors
Giancarlo Fortino is an associate
professor of computer engineering
with the Department of Informatics,
Modeling, Electronics, and Systems
of the University of Calabria (Unical),
Rende, Italy. He received his Ph.D.

IEEE SyStEmS, man, & CybErnEtICS magazInE

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Table of Contents for the Digital Edition of Systems, Man & Cybernetics - January 2015

Systems, Man & Cybernetics - January 2015 - Cover1
Systems, Man & Cybernetics - January 2015 - Cover2
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Systems, Man & Cybernetics - January 2015 - Cover3
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