Int. Workshop on Ambient Intelligence, Media, and Sensing 2007, Istanbul,Turkey
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AIMS 2007

International Workshop on Ambient Intelligence, Media, and Sensing

(associated with the International Conference on Data Engineering - ICDE)
April 20, 2007

Istanbul, Turkey


Dec. 1, 2006    
Jan. 7, 2007     
Jan. 17, 2007    

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

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

This web site is designed using the START conference management software. Please contact the PC chairs for questions and more information.

Web page hosted by NSF Project "ARIA: Quality-Adaptive Media-Flow Architectures for Sensor Data Management"

K. Selçuk Candan
           (Arizona SU, USA)   
Maria Luisa Sapino
           (U. Torino, Italy)   
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)