Plenary Address: Tuesday, February 7, 8:45 AM
Ubiquitous Sensing: Challenges,
Opportunities and Perspectives
David L. Hall, PhD
Associate Dean for
Research
College
of Information Sciences
and Technology
The Pennsylvania
State University
dhall@ist.psu.edu
Abstract -
Three major trends will provide
enabling technology for global ubiquitous
sensing including: (1) the rapid
evolution of nano-scale and micro-scale sensors, (2) wide-band wireless
communications, and (3) high-speed micro-scale “invisible” computers
with near
unlimited storage capabilities. These
trends provide the opportunity to enable enormous collection and
dissemination
of data for a wide variety of applications such as smart buildings,
condition-based maintenance of machinery, environmental monitoring,
medical
health monitoring, supply chain management, and many other areas. Low-cost, ubiquitous sensing, unlimited
processing
and ultra-wideband communications would appear to provide significant
opportunities for changing nearly every aspect of our everyday lives. However, these technological
enablers may also
lead to significant challenges and potential problems such as the
inability to
ingest, process and understand data (overwhelming human analysts
inducing cogminutia fragmentosa (McNeese et al)), an inability to effectively utilize
distributed information sources, and finally, induced poor
decision-making and
lack of collaboration. These
technology advances are leading to a
situation in which human decision-makers are drowning in a sea of data,
but
thirsting for knowledge. This
presentation describes an approach to transform the data-driven,
sensor-centric
approach into a human-centric, knowledge-focused approach.
Our goal is to integrate data driven and
inference (hypothesis) driven reasoning to achieve the best of both
worlds of
data collection and human reasoning. This
presentation will discuss the key technology trends,
challenges and
potential solutions. Research
in
advanced, 3-D full immersion visualization, use of team-based
intelligent
agents, and multi-sensor data fusion are presented, along with
perspectives on
how to achieve integrated data collection, human reasoning systems.
Biographical Sketch - Dr.
Hall is the Associate Dean for Research for the College of Information
Sciences
and Technology at the Pennsylvania State University.
He has more than 25 years of experience in
research, research management, and systems development in both
industrial and
academic environments. Dr. Hall has performed research in a wide
variety of
areas including celestial mechanics, digital signal processing,
software
engineering, automated reasoning, and multisensor data fusion. During
the past
15 years, his research has focused on multisensor data fusion. He is the author of over 175 technical
papers, reports, book chapters, and books. Dr. Hall is a member of the
Joint
Directors of Laboratories (JDL) Data Fusion Working Group. He serves on
the Advisory
Board of the Data
Fusion Center
based at the State University of New York at Buffalo. In
addition, he serves on the National Aeronautics and
Space
Administration (NASA) Aeronautics and Space Transportation Technology
Advisory
Committee. In 2001, Dr. Hall was awarded
the Joe Mignona award to honor his contributions as a national leader
in the
Data Fusion Community. The Data Fusion
Group instituted the award in 1994 to honor the memory of Joseph
Mignona. Dr. Hall was named as an IEEE
Fellow in 2003
for his research in data fusion. Dr.
Hall is author of the text, Mathematical
Techniques in Multisensor Data Fusion, Artech House, Inc, 1992, and
co-editor (with J. Llinas) of the Handbook
for Multisensor Data Fusion, CRC Press, 2001.
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