DFIOT 2017 - Extended Deadline 10 Aug. 2017

--===============0772806812==
Content-Type: text/plain; charset="us-ascii"
MIME-Version: 1.0
Content-Transfer-Encoding: 7bit
Content-Disposition: inline



--===============0772806812==
Content-Type: multipart/alternative; boundary="001a113d30b6bbfdaa055394c82f"

--001a113d30b6bbfdaa055394c82f
Content-Type: text/plain; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

---------------------------------------------------------------------------=
---------
----------Apologies for multiple copies of this announcement---------
---------------------------------------------------------------------------=
---------

Workshop on Data Fusion in the Internet of Things (DFIoT)

http://dfiot2017.nce.ufrj.br/

Co-located with IEEE 15th International Conference on Pervasive
Intelligence and
Computing =E2=80=93 PICom 2017 (http://cse.stfx.ca/~picom2017/)
Orlando, USA

----------------------------------------------------------------------

CALL FOR PAPERS

The recent technological advances in computer and communication
technologies have been fostering an enormous growth in the number of smart
objects available for usage. The integration of these smart objects into
the Internet originated the concept of Internet of Things (IoT). The IoT
vision advocates a world of interconnected objects, capable of being
identified, addressed, controlled, and accessed via the Internet. Such
objects can communicate with each other, with other virtual resources
available on the web, with information systems and human users. IoT
applications involve interactions among several heterogeneous devices, most
of them directly interacting with their physical surroundings.

New challenges emerge in this scenario as well as several opportunities to
be exploited. One of such opportunities regards the leveraging of the
massive amount of data produced by the widely-spread sensors to produce
value-added information for the end users. In this context, techniques to
promote knowledge discovery from the huge amount of sensing data are
required to fully exploit the potential usage of the IoT devices. In this
context, data fusion techniques are data techniques dealing with the
association, correlation, and combination of data and information from
single and multiple sources to achieve refined position and identity
estimates, and complete and timely assessments of situations and threats,
and their
significance. Since IoT data is usually dynamic and heterogeneous, it
becomes important to investigate techniques for understanding and resolving
issues about data fusion in IoT. Employment of such Data fusion techniques
are useful to reveal trends in the sampled data, uncover new patterns of
monitored variables, make predictions, thus improving decision making
process, reducing decisions response times, and enabling more intelligent
and
immediate situation awareness.

The goal of this Workshop is to present and discuss the recent advances in
the interdisciplinary data fusion research areas applied to IoT. We aim to
bring together specialists from academia and industry in different fields
to discuss further developments and trends in the data fusion area.

Topics appropriate for this workshop include (but are not necessarily
limited to):

=E2=80=A2 Data collection and abstraction in IoT
=E2=80=A2 Knowledge fusion in IoT
=E2=80=A2 Machine learning, data mining and fusion for IoT
=E2=80=A2 Data streams fusion in IoT
=E2=80=A2 Data models for IoT
=E2=80=A2 Fusion models for IoT
=E2=80=A2 Subjective Logic applied to IoT
=E2=80=A2 Dynamic analysis in IoT
=E2=80=A2 Social data fusion and social IoT
=E2=80=A2 Probabilistic reasoning in IoT
=E2=80=A2 Decision systems in IoT
=E2=80=A2 Web data fusion
=E2=80=A2 Image Fusion
=E2=80=A2 Tracking

The submission dates are:

=E2=80=A2 Submission Due: 10 August 2017
=E2=80=A2 Author Notification: 24 August 2017
=E2=80=A2 Camera-ready Paper Due: 1 September 2017

Authors are invited to submit their original research work that has not
previously been published or under review in any other venue. Papers should
be prepared in IEEE CS Proceedings format and submitted via EDAS systems.
Research papers should explore a specific technology problem and propose a
complete solution to it. Authors should submit 6 pages Research papers
using IEEE template. At least one of the authors of any accepted paper is
requested to register and present the paper at the conference.

Organizing Committee:

=E2=80=A2 Claudio M. de Farias =E2=80=93 Federal University of Rio de Janei=
ro - Brazil
=E2=80=A2 Fl=C3=A1via C. Delicato =E2=80=93 Federal University of Rio de Ja=
neiro =E2=80=93 Brazil
=E2=80=A2 Luci Pirmez =E2=80=93 Federal University of Rio de Janeiro - Braz=
il

Program Committee:

=E2=80=A2 Atslands Rego =E2=80=93 Federal University of Cear=C3=A1 =E2=80=
=93 Brazil
=E2=80=A2 Danielo Gomes =E2=80=93 Federal University of Cear=C3=A1 =E2=80=
=93 Brazil
=E2=80=A2 Kevin Wang =E2=80=93 The University of Auckland =E2=80=93 New Zea=
land
=E2=80=A2 Rodrigo Pereira David =E2=80=93 INMETRO =E2=80=93 Brazil
=E2=80=A2 Antonio Balzanella =E2=80=93 Dipartimento di Matematica e Fisica,=
 Seconda
Universita degli
Studi di Napoli =E2=80=93 Italy
=E2=80=A2 Celio Albuquerque =E2=80=93 Fluminense Federal University =E2=80=
=93 Brazil
=E2=80=A2 Haibo Zhang =E2=80=93 University of Otago =E2=80=93 New Zealand
=E2=80=A2 Paulo Pires =E2=80=93 Federal University of Rio de Janeiro =E2=80=
=93 Brazil
=E2=80=A2 Raquel A. F. Mini =E2=80=93 PUC-Minas =E2=80=93 Brazil
=E2=80=A2 Andre Aquino =E2=80=93 Federal University of Alagoas =E2=80=93 Br=
azil
=E2=80=A2 Wei Li =E2=80=93 University of Sydney =E2=80=93 Australia
=E2=80=A2 Antonio Guerrieri =E2=80=93 ICAR =E2=80=93 Italy
=E2=80=A2 Reyes Juarez Ramirez =E2=80=93 University of Baja California =E2=
=80=93 Mexico
=E2=80=A2 Jose Brancalion =E2=80=93 Embraer =E2=80=93 Brazil
=E2=80=A2 Andrea Omicini =E2=80=93 University of Bolonha =E2=80=93 Italy
=E2=80=A2 Flavio Mello =E2=80=93 Federal University of Rio de Janeiro =E2=
=80=93 Brazil
=E2=80=A2 Jonice Oliveira =E2=80=93 Federal University of Rio de Janeiro =
=E2=80=93 Brazil
=E2=80=A2 J=C3=B3 Ueyama =E2=80=93 University of S=C3=A3o Paulo =E2=80=93 B=
razil
=E2=80=A2 Haibin Zhu =E2=80=93 Nipissing University =E2=80=93 Canada
=E2=80=A2 Raffaele Gravina =E2=80=93 University of Calabria =E2=80=93 Italy
=E2=80=A2 Arnoldo Diaz Ramirez =E2=80=93 Instituto Tecnologico de Mexicali =
=E2=80=93 Mexico
=E2=80=A2 Joni Amorim =E2=80=93 University of Campinas =E2=80=93 Brazil
=E2=80=A2 Jos=C3=A9 Neuman =E2=80=93 Federal University of Cear=C3=A1 =E2=
=80=93 Brazil
=E2=80=A2 Alessandra De Paola =E2=80=93 Universit=C3=A0 degli Studi di Pale=
rmo =E2=80=93 Italy
=E2=80=A2 Florin Pop =E2=80=93 University Politehnica of Bucharest / ICI Bu=
charest =E2=80=93 Romenia
=E2=80=A2 Belur Dasarathy =E2=80=93 Independent Consultant =E2=80=93 USA
=E2=80=A2 Giancarlo Fortino =E2=80=93 University of Calabria =E2=80=93 Ital=
y
=E2=80=A2 Priscila Machado Vieira Lima =E2=80=93 Federal University of Rio =
de Janeiro =E2=80=93
Brazil
=E2=80=A2 Audun Josang =E2=80=93 University of Oslo =E2=80=93 Norway
=E2=80=A2 Francisco Herrera =E2=80=93 University of Granada =E2=80=93 Spain
=E2=80=A2 Adriana Viv=C3=A1cqua =E2=80=93 Federal University of Rio de Jane=
iro =E2=80=93 Brazil



-------------------------------------------------------------
Alessandra De Paola - Ph.D.
DIID - Dipartimento dell'Innovazione Industriale e Digitale
Universit=C3=A0 degli Studi di Palermo
Viale delle Scienze, Edificio 6, 3=C2=B0 piano
90128 Palermo
phone: +39 091 238 62604
e-mail: [email protected]

--001a113d30b6bbfdaa055394c82f
Content-Type: text/html; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">----------------------------------------------------------=
--------------------------<br>----------Apologies for multiple copies of th=
is announcement---------<br>-----------------------------------------------=
-------------------------------------<br><br>Workshop on Data Fusion in the=
 Internet of Things (DFIoT)<br><br><a href=3D"http://dfiot2017.nce.ufrj.br/=
">http://dfiot2017.nce.ufrj.br/</a><br><br>Co-located with IEEE 15th Intern=
ational Conference on Pervasive Intelligence and<br>Computing =E2=80=93 PIC=
om 2017 (<a href=3D"http://cse.stfx.ca/~picom2017/">http://cse.stfx.ca/~pic=
om2017/</a>)<br>Orlando, USA<br><br>---------------------------------------=
-------------------------------<br><br>CALL FOR PAPERS<br><br>The recent te=
chnological advances in computer and communication technologies have been f=
ostering an enormous growth in the number of smart objects available for us=
age. The integration of these smart objects into the Internet originated th=
e concept of Internet of Things (IoT). The IoT vision advocates a world of =
interconnected objects, capable of being identified, addressed, controlled,=
 and accessed via the Internet. Such objects can communicate with each othe=
r, with other virtual resources available on the web, with information syst=
ems and human users. IoT applications involve interactions among several he=
terogeneous devices, most of them directly interacting with their physical =
surroundings.<br><br>New challenges emerge in this scenario as well as seve=
ral opportunities to be exploited. One of such opportunities regards the le=
veraging of the massive amount of data produced by the widely-spread sensor=
s to produce value-added information for the end users. In this context, te=
chniques to promote knowledge discovery from the huge amount of sensing dat=
a are required to fully exploit the potential usage of the IoT devices. In =
this context, data fusion techniques are data techniques dealing with the a=
ssociation, correlation, and combination of data and information from singl=
e and multiple sources to achieve refined position and identity estimates, =
and complete and timely assessments of situations and threats, and their<br=
>significance. Since IoT data is usually dynamic and heterogeneous, it beco=
mes important to investigate techniques for understanding and resolving iss=
ues about data fusion in IoT. Employment of such Data fusion techniques are=
 useful to reveal trends in the sampled data, uncover new patterns of monit=
ored variables, make predictions, thus improving decision making process, r=
educing decisions response times, and enabling more intelligent and<br>imme=
diate situation awareness.<br><br>The goal of this Workshop is to present a=
nd discuss the recent advances in the interdisciplinary data fusion researc=
h areas applied to IoT. We aim to bring together specialists from academia =
and industry in different fields to discuss further developments and trends=
 in the data fusion area.<br><br>Topics appropriate for this workshop inclu=
de (but are not necessarily limited to):<br><br>=E2=80=A2 Data collection a=
nd abstraction in IoT<br>=E2=80=A2 Knowledge fusion in IoT<br>=E2=80=A2 Mac=
hine learning, data mining and fusion for IoT<br>=E2=80=A2 Data streams fus=
ion in IoT<br>=E2=80=A2 Data models for IoT<br>=E2=80=A2 Fusion models for =
IoT<br>=E2=80=A2 Subjective Logic applied to IoT<br>=E2=80=A2 Dynamic analy=
sis in IoT<br>=E2=80=A2 Social data fusion and social IoT<br>=E2=80=A2 Prob=
abilistic reasoning in IoT<br>=E2=80=A2 Decision systems in IoT<br>=E2=80=
=A2 Web data fusion<br>=E2=80=A2 Image Fusion<br>=E2=80=A2 Tracking<br><br>=
The submission dates are:<br><br>=E2=80=A2 Submission Due: 10 August 2017<b=
r>=E2=80=A2 Author Notification: 24 August 2017<br>=E2=80=A2 Camera-ready P=
aper Due: 1 September 2017<br><br>Authors are invited to submit their origi=
nal research work that has not previously been published or under review in=
 any other venue. Papers should be prepared in IEEE CS Proceedings format a=
nd submitted via EDAS systems.<br>Research papers should explore a specific=
 technology problem and propose a complete solution to it. Authors should s=
ubmit 6 pages Research papers using IEEE template. At least one of the auth=
ors of any accepted paper is requested to register and present the paper at=
 the conference.<br><br>Organizing Committee:<br><br>=E2=80=A2 Claudio M. d=
e Farias =E2=80=93 Federal University of Rio de Janeiro - Brazil<br>=E2=80=
=A2 Fl=C3=A1via C. Delicato =E2=80=93 Federal University of Rio de Janeiro =
=E2=80=93 Brazil<br>=E2=80=A2 Luci Pirmez =E2=80=93 Federal University of R=
io de Janeiro - Brazil<br><br>Program Committee:<br><br>=E2=80=A2 Atslands =
Rego =E2=80=93 Federal University of Cear=C3=A1 =E2=80=93 Brazil<br>=E2=80=
=A2 Danielo Gomes =E2=80=93 Federal University of Cear=C3=A1 =E2=80=93 Braz=
il<br>=E2=80=A2 Kevin Wang =E2=80=93 The University of Auckland =E2=80=93 N=
ew Zealand<br>=E2=80=A2 Rodrigo Pereira David =E2=80=93 INMETRO =E2=80=93 B=
razil<br>=E2=80=A2 Antonio Balzanella =E2=80=93 Dipartimento di Matematica =
e Fisica, Seconda Universita degli<br>Studi di Napoli =E2=80=93 Italy<br>=
=E2=80=A2 Celio Albuquerque =E2=80=93 Fluminense Federal University =E2=80=
=93 Brazil<br>=E2=80=A2 Haibo Zhang =E2=80=93 University of Otago =E2=80=93=
 New Zealand<br>=E2=80=A2 Paulo Pires =E2=80=93 Federal University of Rio d=
e Janeiro =E2=80=93 Brazil<br>=E2=80=A2 Raquel A. F. Mini =E2=80=93 PUC-Min=
as =E2=80=93 Brazil<br>=E2=80=A2 Andre Aquino =E2=80=93 Federal University =
of Alagoas =E2=80=93 Brazil<br>=E2=80=A2 Wei Li =E2=80=93 University of Syd=
ney =E2=80=93 Australia<br>=E2=80=A2 Antonio Guerrieri =E2=80=93 ICAR =E2=
=80=93 Italy<br>=E2=80=A2 Reyes Juarez Ramirez =E2=80=93 University of Baja=
 California =E2=80=93 Mexico<br>=E2=80=A2 Jose Brancalion =E2=80=93 Embraer=
 =E2=80=93 Brazil<br>=E2=80=A2 Andrea Omicini =E2=80=93 University of Bolon=
ha =E2=80=93 Italy<br>=E2=80=A2 Flavio Mello =E2=80=93 Federal University o=
f Rio de Janeiro =E2=80=93 Brazil<br>=E2=80=A2 Jonice Oliveira =E2=80=93 Fe=
deral University of Rio de Janeiro =E2=80=93 Brazil<br>=E2=80=A2 J=C3=B3 Ue=
yama =E2=80=93 University of S=C3=A3o Paulo =E2=80=93 Brazil<br>=E2=80=A2 H=
aibin Zhu =E2=80=93 Nipissing University =E2=80=93 Canada<br>=E2=80=A2 Raff=
aele Gravina =E2=80=93 University of Calabria =E2=80=93 Italy<br>=E2=80=A2 =
Arnoldo Diaz Ramirez =E2=80=93 Instituto Tecnologico de Mexicali =E2=80=93 =
Mexico<br>=E2=80=A2 Joni Amorim =E2=80=93 University of Campinas =E2=80=93 =
Brazil<br>=E2=80=A2 Jos=C3=A9 Neuman =E2=80=93 Federal University of Cear=
=C3=A1 =E2=80=93 Brazil<br>=E2=80=A2 Alessandra De Paola =E2=80=93 Universi=
t=C3=A0 degli Studi di Palermo =E2=80=93 Italy<br>=E2=80=A2 Florin Pop =E2=
=80=93 University Politehnica of Bucharest / ICI Bucharest =E2=80=93 Romeni=
a<br>=E2=80=A2 Belur Dasarathy =E2=80=93 Independent Consultant =E2=80=93 U=
SA<br>=E2=80=A2 Giancarlo Fortino =E2=80=93 University of Calabria =E2=80=
=93 Italy<br>=E2=80=A2 Priscila Machado Vieira Lima =E2=80=93 Federal Unive=
rsity of Rio de Janeiro =E2=80=93 Brazil<br>=E2=80=A2 Audun Josang =E2=80=
=93 University of Oslo =E2=80=93 Norway<br>=E2=80=A2 Francisco Herrera =E2=
=80=93 University of Granada =E2=80=93 Spain<br>=E2=80=A2 Adriana Viv=C3=A1=
cqua =E2=80=93 Federal University of Rio de Janeiro =E2=80=93 Brazil<br><br=
><br><br clear=3D"all"><div><div class=3D"gmail_signature"><div dir=3D"ltr"=
><div>-------------------------------------------------------------<br>Ales=
sandra De Paola - Ph.D. <br><span style=3D"font-size:small">DIID - Dipartim=
ento dell&#39;Innovazione Industriale e Digitale</span><br>Universit=C3=A0 =
degli Studi di Palermo<br>Viale delle Scienze, Edificio 6, 3=C2=B0 piano<br=
>90128 Palermo<br>phone: +39 091 238 62604<br>e-mail: <a href=3D"mailto:ale=
[email protected]" target=3D"_blank">[email protected]</a>=
</div></div></div></div>
<div dir=3D"ltr"><br></div></div>

--001a113d30b6bbfdaa055394c82f--


--===============0772806812==--