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COMMERCE BUSINESS DAILY ISSUE OF AUGUST 20,1996 PSA#1662Rome Laboratory/PKPX, 26 Electronic Parkway, Rome NY 13441-4514 A -- SPECIAL NOTICE: ROME LABORATORY'S FY 97 SBIR TOPICS SOL SBIR
TOPIC 20 POC Joetta A. Bernhard, Contracting Officer, A/C 315-330-2308;
Margot Ashcroft, SBIR Program Manager, 315-330-1793. PART 5 OF 6. ROME
LABORATORY'S FY 97 SBIR TOPIC. ROME LABORATORY IS PLEASED TO MAKE
AVAILABLE THE FOLLOWING SMALL BUSINESS INNOVATIVE RESEARCH (SBIR)
PROGRAM TOPICS, AS FOLLOWS: SBIR TOPIC (20) - TECHNICAL POINT OF
CONTACT: Albert A. Jamberdino, RL/IRA, 315-330-4581. TITLE: Information
Storage and Retrieval - Optical Memories. OBJECTIVE: To design and
experimentally validate concepts for volumetric optical storage that
demonstrate an optical advantage, i.e. massively parallel I/O, storage
capacities of 10E10-10E12, and access times of milliseconds.
DESCRIPTION: Rome Laboratory is investigating the use of photonic
technology in advancing the state of the art in data storage. Optical
memories show promise in many areas of the data storage hierarchy.
Applications include: archival storage, random access memory, read only
memory, cache memory, and associative (content addressable) memory.
Three dimensional optical memory offers the potential of terabit
storage in volumes on the order of a cubic centimeter. High data
transfer will be crucial for military applications as well as civilian
uses. This initiative is directed towards exploiting the ''Optical
Advantage'' of storing digital data in the form of optical volume or
3-dimensionally. Concepts such as content addressable memory either
numerical, textural or image identification techniques can be
implemented in memory, results isolated, and effectively provide
acceleration of output speed, and access time. Correlation,
auto-correlation, and change detection concepts within the memory
itself should also be exploited.- PHASE I: Identify and characterize
candidate media, lens architecture's, or beam steering concepts to
provide storage capacities of 10E10-10E12 bits per cubic centimeter, or
at least 10E3-10E6 discrete locations per centimeter. POTENTIAL
COMMERCIAL MARKET: Image exploitation would be greatly enhanced by the
development of faster storage devices not to mention the benefits of
terabit of data accessible at any instant. Medical data will benefit
from the advancement of these technologies as well. Imagine your entire
medical history available to a physician in another town should medical
attention be necessary away from home. A library of X-ray files stored
digitally that not only are available on demand, but now that images
are stored digitally, a computer would assist the doctor in detecting
tumors earlier than would have been possible before. The development of
the ''Information Superhighway'' will hinge on the development of
memory systems capable of storing more data than ever before as well as
transferring that data faster than ever before. SBIR TOPIC (21) TITLE:
Intelligent Desktop Assistant. TECHNICAL POINT OF CONTACT: Patrick
McCabe, RL/IRDS, 315-330-3222. OBJECTIVE: Develop an intelligent
desktop computer assistant to autonomously access, evaluate, retrieve,
and fuse information from the growing number of on-line information
sources available. DESCRIPTION: The intelligent desktop assistant (IDA)
will use machine learning techniques to familiarize itself with user
styles, techniques, preferences and interests. IDA will be able to
guide users through the process of on-line information source
selection, utilization, and interaction management (i.e. cost tracking,
query refinement, etc.). Documentation will not be required as IDA
adjusts user interface characteristics to reflect the changing
experience of the user. IDA will schedule and execute multiple
information retrieval tasks in accordance with user priorities,
deadlines, and preferences. The software will be capable of evolving
the processes by which it interacts with other systems, learning the
characteristics of their interfaces and languages.- PHASE I: Prototype
user and system interfaces and identify the learning algorithms
required to support both. Develop a mechanism to specify deadlines, so
that tasks can be completed in accordance with user defined
priorities. POTENTIAL COMMERCIAL MARKET: The potential commercial
market is literally the size of the personal computer market. This
capability would be highly useful to any individual with a computer
that is connected to any network. SBIR TOPIC (22) TITLE: Single-Channel
Spectral Characterization. TECHNICAL POINT OF CONTACT: Andrew Noga,
PhD, RL/IRA, 315-330-4581. OBJECTIVE: The objective of this effort is
to further develop the Adjustable Bandwidth Concept Signal Energy
Detector (U.S. Patent 5,257,211) for enhancement to existing and well
known spectrum analyzer designs. DESCRIPTION: Rome Laboratory, through
a series of contractual and in-house efforts, has developed a variety
of approaches to characterize signal activity in user selectable RF
band segments. In particular, proof-of-concept, FFT (Fast Fourier
Transform)- based, single channel signal energy detectors (i.e.,
spectrum analyzers) have been implemented, which are capable of
detecting and ''grouping'' dispersed signal energy to form estimates of
the composite bandwidth, center frequency, and signal-to-noise ratios.
While multi-channel approaches exist and have many desirable
characteristics, these techniques likewise require orders of magnitude
increases in implementation complexity, size, maintainability and
cost, over that of single channel techniques. Similarly, Time-Frequency
distribution approaches, while useful in many scenarios, also have
rather complex processing requirements. Currently available commercial
spectrum/signal analyzers, including those that employ FFT-based
Fourier analysis, lack the composite signal grouping and parameter
estimation reporting functionalities. With such capabilities, the
enhanced spectrum analyzer becomes an extremely useful RF spectrum
characterization device. The ''Adjustable Bandwidth Concept (ABC)
Signal Energy Detector'', shows particular promise as a technique for
spectral analysis enhancement, and is the focus of this research
effort. Essentially, this technique allows for the grouping and
parameter report generation of signals with various bandwidths within
the RF segment analyzed. Specifically, the ABC detector allows for
averaging narrowband signals more over time and less over frequency,
while simultaneously averaging wideband signals less over time and more
over frequency, for improved detection, grouping and parameter estimate
performance.- PHASE I: In this phase of the effort, a proof-of-concept
implementation of the ABC Signal Energy Detector will be developed
(e.g., in the MATLAB language) for development purposes. At the same
time, a theoretical analysis will be performed to optimize the ABC
detection algorithm performance. The signal parameter report contents
and format shall be developed in this phase. Basic user definable
device settings along with appropriate operator interface
considerations will be addressed. The intent of this phase is to lead
into the design and development of a real-time implementation in phase
II, which leverages currently existing spectrum analyzer and
associated equipment designs. DUAL-USE COMMERCIALIZATION POTENTIAL: In
recent years the private sector has witnessed a burgeoning growth in
the sales and service of personal communications equipment, including
such devices as the cellular telephone and Global Positioning System
(GPS) receivers. This is in addition to the plethora of devices already
common in the private sector, with purposeful and/or unintentional RF
generation abilities. Both the communication engineer and the
electromagnetic compatibility engineer, designing to meet FCC
regulations, have come to rely upon various laboratory bench tools to
properly develop and test their designs. In particular, the traditional
spectrum analyzer is indispensable. The enhancements to the traditional
spectrum analyzer as identified in this research have the potential to
decrease communication equipment development time and cost, via
superior signal analysis capability and automated specification
testing. Regulatory agencies can likewise benefit from the development
of the enhanced spectral analysis device. SBIR TOPIC (23) TITLE:
Automated Information Extraction Tools. TECHNICAL POINT OF CONTACT:
Carrie Pine, RL/IRA, 315-330-4518. OBJECTIVE: To develop Natural
Language Understanding (NLU) tools that automate the extraction of
information from unformatted text, and the porting of these
capabilities to new domains. DESCRIPTION: The Information Age has
brought with it the need for tools to help people exploit the
overwhelming volumes of textual information now available to them.
Unformatted text is a rich source of potential information. Tools that
automatically find and extract simple data from unformatted text could
be of enormous value to any industry or organization that deals with
large volumes of textual information. Data that can feasibly be
extracted from text includes ''shallow'' information, such as the names
of people, places, locations, organizations, and equipment, quantities,
and dates. The ability to extract such data and to put it into a
structured form would enables a multitude of powerful applications,
including automatic document indexing, automatic data base generation,
and data visualization (for analytical purposes). Tools would also be
developed to make the toolset portable to new domains, so it could
easily learn about and recognize previously unseen information (e.g.,
people's names for a new country, equipment names related to a new
application area, etc.)- PHASE I: Research the area of information
extraction. Develop and refine the requirements for ''shallow''
information extraction tools, tools capable of recognizing and
extracting simple (i.e., feasible) data from text, such as names,
places, locations, organizations, and equipment, quantities, and dates.
Include requirements for making the tools portable to new application
domains. DUAL-USE COMMERCIALIZATION: Tools for shallow information
extraction would be useful in any industry or organization that
processes large volumes of unformatted text. This includes financial
institutions (e.g., tracking competitors/business intelligence
analysis), law enforcement agencies (e.g., automatic data base
generation from police reports, visualization of data from unformatted
text to help investigators analyze crime data), and the publishing
industry (e.g., automatic document indexing). SBIR TOPIC (24) TITLE:
Exploitation of GPS Controlled Imagery TECHNICAL POINT OF CONTACT: Mark
Rosiek, RL/IRRE, 315-330-7787,. CRITICAL TECHNOLOGY: The Department of
Defense (DOD) developed the Global Positioning System (GPS) to aid
navigation. This system is fully operational and in use for both
military and civilian applications. One GPS application is in the
acquisition of airborne imagery. Air vehicles are equipped with GPS and
imaging sensors. When airborne imagery is acquired GPS measurements are
recorded to capture the exterior orientation information of the imaging
sensor. OBJECTIVE: This effort will develop new and innovative methods,
techniques or products that take advantage of GPS controlled imagery.
DESCRIPTION: Technology developed under this effort will replace
traditional techniques for estimating airborne imagery exterior
orientation parameters before exploiting the imagery. This will result
in improved techniques for producing current imagery products. GPS
controlled imagery will also support the development of new imagery
products that were not feasible with current techniques. GPS controlled
imagery provides an estimate of the airborne imagery exterior
orientation parameters. Technology developed under this effort will
take advantage of the GPS information. These techniques will assist in
working with blocks or strips of airborne imagery, imagery acquired at
different times or from different sensors, and metric information
available with GPS controlled imagery. The new products produced will
take advantage of GPS controlled imagery to produce image mosaics,
change detection, new methods to catalog imagery or obtain metric
information.- Phase I should focus on defining, developing a
specification and demonstrating the method, technique or product that
is proposed. This should result in showing the required input
information, an estimate of the processing time required and the
accuracy of the output information. The contractor should supply any
GPS controlled imagery required to support any proposed demonstration.
POTENTIAL COMMERCIAL MARKET: This topic has high Dual Use
Commercialization Potential. Both the military and the commercial
sectors have sources for GPS controlled imagery. Although the sources
may differ, methods to exploit the imagery can be similar. The
commercial sector can utilize image mosaics, image catalogues, for
resource management and the military can use image mosaics, image
catalogs for wide area search applications. Imagery acquired at
different times or from different sensors can be exploited for change
detection by the commercial sector for detecting storm damage or
environmental health. The military can use change detection for
detecting changes in military activity. (0229) Loren Data Corp. http://www.ld.com (SYN# 0002 19960819\A-0002.SOL)
A - Research and Development Index Page
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