The
first Ambient
Intelligence, Media, and Sensing (AIMS) workshop,
collocated with
ICDE 2007 conference, focuses
on the data management challenges associated with the design
of distributed media-rich pervasive systems.
Pervasive systems, which can provide situation-aware
services to users, require cognitive capabilities
transparently embedded in the surroundings to (a)
continuously sense user needs, status, and the context, (b)
filter and fuse multitude of real-time media data, and (c)
react by appropriately adapting the environment. Thus,
AIMS07 will focus on enabling technologies for the emerging
field of situation-aware, media-enriched ambient
intelligence, which integrates sensing, data processing,
decision making, and response mechanisms into immediate
surroundings.
Fundamental challenges in deploying media-enriched
pervasive systems involve not only the development of
appropriate sensing technologies, but more importantly the
design of an environment which can process, integrate, and
leverage the sensed data in real time and in a distributed
manner to provide the various services. The system has to
adapt the environment (through actuators which deliver the
services) as well as themselves (appropriately allocating
resources, processing elements, and quality of service) to
the needs of users, their locations and goals. Therefore, in
the first of this series of workshops, we will concentrate on
specific research problems related to information
integration, fusion, and delivery for supporting the emerging
area of ubiquitous media rich ambient services. The workshop
will be open to all aspects of these systems, including
pervasive digital media content, sensory database systems,
real-time data management, and
artificial intelligence in the context of ubiquitous services.
In particular, AIMS07
solicits papers in the data management areas of
- media sensing and processing,
- data integration and fusion,
- sensor data management, mining, and data streams,
- mobile and location based data management,
- media service workflow modeling, design, and
verification,
- modular integration and execution of individual
components of ambient services, and
- real-time optimization, distributed execution, and
adaptation of ambient media services.
We also solicit papers from application domains including
(a) everyday life (safety, security, accessibility,
health) as well
as (b) media specific contexts (museums and interactive art
installations).
All submitted papers will be refereed for quality and originality by the Program Committee. The acceptance/rejection of the papers will be based on these review results. Manuscripts should be in English and must not exceed 10 pages (IEEE format). Submissions should include the title, author(s), authors' affiliations, e-mail addresses, tel/fax numbers, postal address, and an abstract on the first page. An electronic version (PDF format) of the full paper should be submitted by December 1st, 2006.
For
further information please contact the AIMS'07
co-chairs:
K. Selcuk Candan
Dept. of Computer Science and Engineering
Arizona State University
Tempe, AZ 85287-8809, USA
phone: (480) 965-2770
fax: (480) 965-2751
email: candan.edu
http://www.public.asu.edu/~candan
Maria Luisa Sapino
Dipartimento di Informatica
Università degli Studi di Torino
Corso Svizzera 185, I-10149 Torino, Italy
phone: +39 011 6706745
fax: +39 011 751603
email: mlsapino.unito.it
http://www.di.unito.it/~mlsapino
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Web page hosted by NSF Project "ARIA: Quality-Adaptive Media-Flow Architectures for Sensor Data Management"
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CO-CHAIRS: |
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K. Selçuk Candan (Arizona SU, USA) Maria Luisa Sapino (U. Torino, Italy)
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PROGRAM COMMITTEE: |
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Laurent Amsaleg (IRISA, France)
Noboru Babaguchi (Osaka U., Japan)
Christian Becker (U. Mannheim,Germany)
Ugur Cetintemel (Brown U., USA)
Lei Chen (HKUST, Hong Kong)
Yi Cui (Vanderbilt U., USA)
Chabane Djeraba (USTL, France)
Asuman Dogac (METU, Turkey)
Abed El Saddik (U. Ottawa, Canada)
Deborah Estrin (UCLA, USA)
Ombretta Gaggi (U. of Padova, Italy)
Yihong Gong (NEC Labs America, USA)
Marco Gribaudo (U. Torino, Italy)
Xiaohui Gu (IBM T.J.Watson, USA)
Hani Hagras (U. of Essex, UK)
Mohan Kankanhalli (NUS, Singapore)
Wolfgang Klas (Uni. Wien, Austria)
Daniele Nardi (U. of Roma, Italy)
Lina Peng (Arizona SU, USA)
B. Prabhakaran (UT Dallas, USA)
Ichiro Satoh (NII, Japan)
Cyrus Shahabi (USC, USA)
Hari Sundaram (Arizona SU, USA)
Egemen Tanin (U.Melbourne, Australia)
Jun Tatemura (NEC Labs America, USA)
Can Turker (ETHZ, Switzerland)
Ozgur Ulusoy (Bilkent U., Turkey)
Jianliang Xu (HKBU, Hong Kong)
Philip S. Yu (IBM T.J.Watson, USA)
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