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Reconfigurable Smart Components for Next Generation
Information Technology
1. Executive Summary
Information technology has transformed the way we
live and work. Initially through the use of mainframe computers, and
more recently through use of personal computers connected to networks
such as the Internet, we have become dependent on the capability to
process information. In the next century, our general purpose computer
systems will be supplemented with ubiquitous, networked, information
processing appliances, and the capability to do sophisticated
processing and to access global and local networks will be available
in even the most inexpensive appliances. One can imagine equipping the
components of any conventional system with computational and
communications capability, thus enabling the components of the system
to form a spontaneous network. Such a system could be monitored,
reconfigured, modeled, or debugged via the network of
"smart" components that make it up. We propose to develop enabling technology for systems
composed of reconfigurable smart components. Near-term applications
may include intelligent and flexible manufacturing lines consisting of
communicating tools and parts, advanced transportation systems
consisting of vehicles communicating with each other and with
stationary components such as roadways, classrooms and laboratories in
which student laptops are communicating with each other and the
instructor, and self-configuring laboratory instrumentation systems.
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1.1 The
Problem
As the number of components in any engineered
system increases, so do the costs of development, maintenance,
operation, reliability, and security for that system. This is true
for systems as disparate as bridges, manufacturing lines, vehicles,
and weapon systems. A substantial portion of these costs is
associated with reconfiguration. Reconfigurable smart component
technology can provide the foundation for addressing these problems
on a wide-scale basis. New methods for developing and integrating
processing and communications capability into systems must be
investigated with a focus on reducing development, maintenance, and
operational costs while establishing levels of reliability and
security commensurate with task requirements. Dealing with the
volume and complexity of the acquired information as well as making
informed decisions based upon the information content also
represents an important component of the problem
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1.2 Definition
A reconfigurable smart component is an
augmented version of a standard component (what constitutes a
"component" will depend on the system in question). The
augmentation, consisting of both hardware and software, provides a
way for the component to participate in an ad-hoc network of other
similar components and a way for the system as a whole to connect to
larger, more permanent networks. The hardware may be a complete
system on a chip including processors, memory, I/O drivers, and
signal processors. The chip may be mixed-signal, containing
transducers, radio receivers, transmitters, and analog-to-digital
converters. The software consists of a systems layer, which includes
an operating system and protocol stack for managing the network, and
an applications layer that provides the actual information
processing.
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1.3 Project Goals
The two primary goals of this research project are
complementary in nature. The first is focused on the actual research,
while the second is more programmatic.
 | Creation of enabling technology for reconfigurable smart components, and the transfer of the technology, as appropriate, to
industry. |
 | Enhancement of the graduate research programs in the College of
Engineering by adding new highly qualified faculty and increasing
the level of extramural funding. |
Reconfigurable smart components will become the
building blocks of complex systems for both modeling and implementation.
This research will involve faculty from the departments of Chemical
Engineering, Computer Science and Engineering, Electrical and Computer
Engineering, Industrial and Systems Engineering, and Mechanical
Engineering. Cross-disciplinary efforts are proposed to leverage
existing research achievements and, where appropriate, existing
commercial off-the-shelf technology, along with the research proposed
here, to permit design, simulation, and prototyping of three distinct
reconfigurable smart component systems during the initial five year
period of proposed research. The research efforts are based on the
College of Engineering's existing strengths as well as the
commitments of additional resources by the University and the College as
seed money that is expected to lead ultimately to increased levels of
extramural funding.
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1.4 Research Objectives
Ten research areas are important to the success of
the project's research goal. The faculty associated with each area
will be responsible for meeting the general objectives below. These
objectives are reflected in the Tasks/Deliverables outlined in the
Research Plan in Section 4, and will be measured with respect to the
completion of the Tasks/Deliverables.
 | RF (High [Radio] Frequency) - Development of components that
communicate wirelessly in the high-noise environments typical of
industry. |
 | MEMS (Micro-Electro-Mechanical Systems) - Development
of MEMS technology to be used to develop sensors, I/O, and storage for
the components. |
 | Packaging - Development of techniques for packaging adequate
processing and communication capability onto small chips with low
power consumption. |
 | DVT (Design, Verification, and Test) - Development of methods
and environments necessary to design and verify software and hardware
for the embedded systems that compose the spontaneous network. |
 | SwE (Software Engineering) - Development of methods, tools, and
environments to aid in the construction of reconfigurable software
components. |
 | Networks ?Design and development of network protocols and
software technologies appropriate for the spontaneous (ad-hoc)
networks envisioned. |
 | System Software - Development of the system level software
required by the embedded systems (hardware and software) that will
compose the spontaneous network. |
 | IIS (Intelligent and Interactive Systems) - Development of the
Human Computer Interface (HCI) strategies and application of
Artificial Intelligence (AI) technology to address the optimization
problems faced in the spontaneous networks. |
 | Database - Development of techniques to address asymmetry in
the communications, data consistency, and state dependent querying, as
well as database recovery, reliability, security, and concurrency
control. |
 | CPI (Continuous Process Industries) – Development of
enabling methodologies that transfer reconfigurable smart |
 | software and hardware components to the process industries |
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