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COMMERCE BUSINESS DAILY ISSUE OF JUNE 30,1997 PSA#1877ROME LABORATORY'S DRAFT FY98 SBIR TOPICS PART 5 OF 6. ROME LABORATORY'S
DRAFT FY 98 SBIR TOPICS. ROME LABORATORY IS PLEASED TO MAKE AVAILABLE
THIE FOLLOWING DRAFT SMALL BUSINESS INNOVATIVE RESEARCH (SBIR) PROGRAM
TOPICS. THESE TOPICS ARE NOT APPROVED AS YET AND ALL MAY NOT APPEAR IN
THE FINAL SOLICITATION: SBIR TOPIC #AF98-131. TECHNICAL POINT OF
CONTACT: Michael L. Hinman, RL/IRRP (315) 330-3175. TITLE: Adaptive
Data Fusion Technology. CATEGORY: Research and Development. DOD
CRITICAL TECHNOLOGY AREA: B07. SERVICE CRITICAL TECHNOLOGY AREA: AF1.
OBJECTIVE: Development of innovative adaptive all-source data fusion
technology. DESCRIPTION: Data Fusion has been defined (Joint Directors
of Laboratories (JDL), Technology Panel on C3 (TPC3), Data Fusion
SubPanel (DFSP)) as: "Information processing that deals with the
association, correlation, and combination of data and information from
single and multiple sources to achieve refined position and identity
estimation, complete and timely assessments of situations and threats,
and their significance inthe context of mission operation. The process
is characterized by continuous refinement of its estimates and
assessments, and by evaluation of the need for additional sources, or
modification of the process itself, to achieve improved results."
Current data fusion techniques beyond Level-1 (correlation) are mainly
manual and cannot keep pace with the highly mobile, dynamic forces
likely to be faced in the future. Current Level-1 fusion techniques
only support limited sources, not all-source information. In addition,
adaptive data fusion is currently not available. This topical area
will address advanced computing technologies for adaptive data fusion.
PHASE I: Phase I will investigate advanced computing techniques (e.g.,
statistical, artificial intelligence, artificial neural networks, fuzzy
logic) applicable to adaptive data fusion. Phase I will result in a
detailed plan and prototype software, which demonstrates the
feasibility of a potential Phase II effort. PHASE II: Phase II will
design and develop the advanced computing techniques applicable to
adaptive data fusion as recommended in Phase I, and then prototype a
subset of the design to demonstrate adaptive data fusion functionality.
PHASE III DUAL USE APPLICATIONS: Phase III will fully implement and
demonstrate the advanced computing techniques applicable to adaptive
all-source data fusion, as recommended in Phase II prototype. This
topical area has dual-use potential wherever data from different (or
even similar) sources are required for decision making, especially when
various fusion parameters need to be adjusted for optimal results.
Examples of potential industries include: drug
enforcement/interdiction, medical, environmental, aerospace,
automotive, and manufacturing. KEYWORDS: Data Fusion, Sensor Fusion,
Adaptive Processing. SBIR TOPIC #AF98-132. TECHNICAL POINT OF CONTACT:
Maj Steve Matechik, RL/IRDS (315) 330-3638. TITLE: Automatic Video
Scene Model Generation. CATEGORY: Research and Development. DOD
CRITICAL TECHNOLOGY AREA: B07. SERVICE CRITICAL TECHNOLOGY AREA: AF1.
OBJECTIVE: Develop techniques to automatically model source video
features and integrate into an immersive Distributed Interactive
Simulation (DIS)/High Level Architecture (HLA)-compatible simulation.
DESCRIPTION: An inherent data compression opportunity relative to video
data employs representing objects depicted in a video data stream using
polygonal models. This effort will research and develop a prototype
capability that can extract 3D objects from video and automatically
generate their associated polygonal representations that can be
subsequently integrated into a virtual reality (VR) simulation. The
image processing that is responsible for the object extraction shall be
accomplished real-time, permitting a minimal processing latency. The
DIS/HLA-compatible model insertion will be spatially correlated to the
represented real-world terrain. Techniques that address multiple
fidelity resolution depiction shall be addressed and employed in the
demonstration. PHASE I: The proof-of-concept capability shall be
targeted for the SGI UNIX environment and shall be demonstrated using
the New World Vistas Global Awareness Virtual Testbed (NWV GA VTB).
(The NWV GA VTB node resides in RL/IRDS, Bldg 240). PHASE II: The Phase
I prototype capability will be refined and extended such that it can be
demonstrated on a PC-based platform utilizing a Virtual Reality
Modeling Language (VRML)-based environment. COMMERCIAL POTENTIAL:
Aerial Surveys/Mapping; Architectural Engineering, Medical Imaging, VR
Entertainment, as well as the aforementioned disciplines utilizing the
Internet to interactively disseminate their information. KEYWORDS:
Video Compression, Modeling, Distributed Interactive Simulation,
Feature Extraction, Virtual Reality Modeling Language (VRML). SBIR
TOPIC #AF98-133. TECHNICAL POINT OF CONTACT: Dan Ventimiglia, RL/IRDS
(315) 330-3222. TITLE: Cross-Platform Collaboration. CATEGORY: Research
and Development. DOD CRITICAL TECHNOLOGY AREA: B08. SERVICE CRITICAL
TECHNOLOGY AREA: AF1. OBJECTIVE: Develop a prototype demonstration
allowing for multi-media and desktop video across multiple platforms
and Operating Systems. DESCRIPTION: Current desktop video collaboration
is available for specific platforms such as PC's and UNIX machines with
the same operating system. Users trying to collaborate with each other
cannot do so if using different operating systems or platforms, such
as with UNIX systems, Macintoshes and IBM compatible PC's. This effort
will develop the initial translation software package to allow cross
platform access. PHASE I: Initial translation functions will be
developed for voice, text, video and graphics to be viewed, edited and
discussed across several platforms. This tool should allow a user to
collaborate with another user on a different operating system passing
text, video, graphics and voice information. In Phase I, the amount of
translation software may be limited due to the amount of handling
translations among two different platforms and necessary hardware to
show the feasibility of the technology being pursued. PHASE II: The
Phase I prototype will be further developed to handle a much broader
base of platforms such as Windows NT, Solaris 2.5, Mac OS, and Windows
95 OS. Additional algorithms and handling techniques will be
addressed. Additionally, data retrieval among several data bases will
be looked into. Also, a more complete graphical user interface will be
developed to allow the users to collaborate more efficiently. PHASE
III DUAL USE APPLICATIONS: A fully functional product for collaboration
of several users with textual information, graphics, voice, and desktop
video on several major platforms and Operating Systems will be the end
result of this SBIR. This technology has application to many areas
including, publishing, analysis, information exchange, and virtual
conferencing, in the medical community, financial domains, and
education. KEYWORDS: Information Visualization, Data Representation,
Collaboration, Groupware, Desktop Video Conferencing. SBIR TOPIC
AF98-134. TECHNICAL POINTS OF CONTACT: John Feldman and Joe Giordano,
RL/IWT (315) 330-7990. TITLE: Defensive Information Warfare Technology.
CATEGORY: Research and Development. DOD CRITICAL TECHNOLOGY AREA: B07.
SERVICE CRITICAL TECHNOLOGY AREA: AF1. OBJECTIVE: Develop state of the
art Defensive Information Warfare technologies by providing innovative
research in information systems recovery, and computer data forensics.
DESCRIPTION: Information systems are used for a variety of reasons. In
some cases, the reasons are to commit malicious acts. These acts
result in damage to the information systems as well as intentional
damage to the perpetrators own system upon arrest. The ability to
recover, both from the damage caused the perpetrator and the
perpetrators information systems is critical to stopping these
activities. PHASE I: Define and propose the development of Defensive
Information Warfare technologies and capabilities for use within
existing and future information systems. Rudimentary proof of concept
prototypes should be developed to demonstrate the ideas proposed.PHASE
II: Design, develop and implement a prototype demonstrating the
proposed concept or technology. This prototype should be consistent
with the philosophy of the Air Force and focus primarily on COTS based
information systems. PHASE III DUAL USE APPLICATIONS: Technologies
developed should have the widest global applicability to both AF and
commercial information systems. The Air Force is quickly adopting COTS
as the primary information system medium and therefore
commercialization of the non-military specific portion of the Defensive
Information Warfare technologies or concepts should be highly
desirable. KEYWORDS: Defensive Information Warfare, Information System
Recovery, Computer Data Forensics. SBIR TOPIC #AF98-135. TECHNICAL
POINT OF CONTACT: James Perretta, RL/OCSA (315) 330-2632. TITLE:
Adaptive Signal Processing Algorithm Development for Airborne Early
Warning Radar. CATEGORY: Research and Development. DOD CRITICAL
TECHNOLOGY AREA: B16. SERVICE CRITICAL TECHNOLOGY AREA: AF1. OBJECTIVE:
Investigate and develop software solutions to the deficiencies of high
Pulse Repetition Frequency (PRF) waveforms in terms of detection
performance of low cross section/low velocity targets for
pre-beamformed Airborne Early Warning (AEW) Radar data. DESCRIPTION:
Returns from a high PRF Airborne Early Warning (AEW) Radar can contain
a certain type of clutter return that can mask slow moving targets of
interest such as helicopters and small private aircraft. This clutter
phenomenon is known as J-hook clutter. Rome Laboratory has
demonstrated the corruptive effects of near range clutter illuminated
with a high PRF waveform from a multi-channel AEW radar. Such waveforms
create a clutter ridge that forms across several range/Doppler cells
producing what is referred to as the clutter hook. This hook can occupy
the same range/Doppler space as a target of interest. PHASE I: Derive
theory behind the J-hook clutter effect and define potential problems
involving detection of low velocity/low radar cross section targets.
Provide a report describing the proposed concept. PHASE II: Develop
Signal processing solutions that accept pre-beamformed AEW data and
detect low velocity/low radar cross section targets hidden in the
J-hook clutter. PHASE III DUAL USE APPLICATIONS: This technology will
be useful for drug enforcement, that utilize AEW type platforms, by
providing the capability to detect small aircraft flying "low and slow"
carrying contraband into the United States and Canada. KEYWORDS: Radar,
Airborne Surveillance, Signal Processing, Electromagnetics,
Surveillance, Detection. SBIR TOPIC #AF98-136. TECHNICAL POINT OF
CONTACT: Maj Steve Matechik, RL/IRDS (315) 330-3638. TITLE: Advanced
Techniques for Video Indexing and Retrieval. CATEGORY: Research and
Development. DOD CRITICAL TECHNOLOGY AREA: B07. SERVICE CRITICAL
TECHNOLOGY AREA: AF1. OBJECTIVE: Develop techniques to efficiently
index video for subsequent retrieval and exploitation by an analyst.
DESCRIPTION: Video imagery collection, exploitation, and dissemination
is becoming increasingly important in the intelligence community.
Video data provides enhanced opportunities to detect and identify fixed
and mobile targets, yet compounds the problem of automated indexing and
retrieval of relevant data for intelligence analysts. This effort will
develop efficient, real-time techniques for fully automated processing
of video data. These techniques will allow analysts to quickly retrieve
and analyze the segments of video that are relevant to the objectives
of a particular mission. PHASE I: Develop techniques for automated
indexing, retrieval, and efficient visualization of video clips for
intelligence analysts. PHASE II: Develop a prototype application which
will allow efficient access to medium to large set of video data, and
can be integrated with existing information databases. COMMERCIAL
POTENTIAL: Techniques and tools developed under this effort have
application to digital video libraries and image/video repositories.
KEYWORDS: Video Indexing, Exploitation, Intelligence. SBIR TOPIC
#AF98-137. TECHNICAL POINT OF CONTACT: Albert Jamberdino, RL/IRAP (315)
330-2845. TITLE: Optical Memories. CATEGORY: Research and Development.
DOD CRITICAL TECHNOLOGY AREA: B08. SERVICE CRITICAL TECHNOLOGY AREA:
AF1. NARRATIVE: The advent of optoelectronic computing and highly
parallel electronic processing necessitates storage systems with
enormous capacity and bandwidth. Meeting this demand with current
technologies results in storage systems that dominate processors in
terms of overall cost, power consumption, volume and weight.
Recognizing these and other problems inherent to high data rate, high
density data storage and retrieval, Rome Laboratory is investigating
erasable optical disk and multi-dimensional volumetric memory
technologies. The approaches taken represent revolutionary rather than
evolutionary concepts for mass storage and retrieval. OBJECTIVE: To
identify and characterize candidate media, lens architectures, or beam
steering concepts to provide storage capacities of at least 1
Gigabit/cm3 or at least 1 Megabit/cm. DESCRIPTION: This effort seeks to
exploit the recent advances made in the field of nano-technology in
order to increase bit storage density. Organic polymers, synthetic DNA,
and covalent transition metal compounds all have shown the potential to
increase storage densities by orders of magnitude. The challenge is to
fabricate them on a nano-scale and then optically address (write/read)
them at room temperature. The associated optical write/read system
should also take advantage of the advances that industry has made in
lasers, lens design, spatial light modulators and other components.
PHASE I consists of concept definition with experimentation adequate
for feasibility demonstration. PHASE II would consist of the design,
fabrication and testing of a brassboard. PHASE III DUAL USE
APPLICATIONS: Phase III would involve the generation and implementation
of marketing plans for commercializing the technology developed under
Phase I and II. High density mass storage would impact every business
from entertainment to medicine. Imagine 4000 hours of audio, or all the
X-Ray films of a large metropolitan hospital, stored on a device the
size of a sugar cube. The development of this technology would benefit
users from the Library of Congress to the records department of
insurance companies. KEYWORDS: Optical Memories, Organic Polymers,
Nanotechnology, Recombinant DNA. SBIR TOPIC #AF98-138. TECHNICAL POINT
OF CONTACT: Bernard J. Clarke, RL/IRAP (315) 330-2106. TITLE:
Electro-Optic Data Transport for Optical Memories. CATEGORY: Research
and Development. DOD CRITICAL TECHNOLOGY AREA: B08. SERVICE CRITICAL
TECHNOLOGY AREA: AF1 NARRATIVE: Data storage and retrieval will
continue to be a weakness in modern information technology systems.
Three-dimensional, page oriented optical data storage technologies
offer great promise due to their very high achievable data densities
and their inherent parallelism in data recording and readout. To fully
take advantage of the data parallelism, data transport systems must be
designed to successfully integrate these mass storage systems with
existing computer networks, while minimal data bottlenecking and
latency. OBJECTIVE: To develop hardware, software and/or network
protocols which will allow successful integration of various
three-dimensional memories into existing single (or multiple) processor
network architectures. DESCRIPTION: Emerging three-dimensional memories
such as two-photon absorption and holographic memories read and record
data in two-dimensional blocks (pages) of digital data. It is
projected that these systems will yield aggregate data rates on the
order of 1-10 Gb/s. One area of growing interest involves optimally
utilizing these inherently parallel memory in traditional serial
network scenarios. This should be done in a way that maximizes the net
throughput rate to all users, while minimizing system complexity. The
problem can be broken up into three different areas. First, hardware
issues are of great interest. Traditional electronic transmission lines
may not work well at these data rates. Fiber optics have shown a lot of
promise in this area, as shown by the newly designed HIPPI-6400
standards. Free space optics may be a long term solution as well, not
only for their very high data bandwidth, but also since they can be
used for parallel processing applications. Second, software issues
become critical in terms of manipulating these large pages of data.
Tied closely to this are data protocol issues. This includes optimizing
the parallel-to-serial conversion to minimize data bottlenecking,
finding the optimal block size to perform error corrections, selecting
optimal page sizes, etc. PHASE I would involve investigation of the
problem using state of the are memory and network parameters as
benchmarks. PHASE II would consist of expanding on the Phase I results
by developing and fabricating the hardware and/or coding the software.
This should result in a functional demonstration system. PHASE III DUAL
USE APPLICATIONS: Phase III would consist of taking the results of the
Phase II effort and transitioning them into a fully commercial
product. This technology is critical to the integration of large scale
parallel access memories to existing single/multi-processor
environments. In addition, it is expected that the results of any
effort in this area will be applicable to the fields of optical
computing and optical communications. KEYWORDS: Page-Oriented Optical
Memories, Fiber Optics, Free-Space Optics, Parallel Processing, Network
Protocols, Local Area Networks. SBIR TOPIC #AF98-139. TECHNICAL POINTS
OF CONTACT: Robert Kaminski, RL/C3BC (315) 330-1865; Anthony Newton,
RL/C3AB (315) 330-3097. TITLE: Monitoring and Management of Distributed
Information Infrastructure. CATEGORY: Research and Development. DOD
CRITICAL TECHNOLOGY AREA: B07. SERVICE CRITICAL TECHNOLOGY AREA: AF1.
OBJECTIVE: The objective of this effort is to identify and develop
monitoring and management techniques and mechanisms for DOD Distributed
Information Infrastructure. DESCRIPTION: The advent of broadband
communications deployed with fiber, wireless, fixed and mobile assets
provides the capability to establish decentralized and distributed
information systems that support millions of DOD, commercial, and
academia users simultaneously. To effectively utilize the aggregate
computational power represented by the sum of these resources,
information and network management systems must provide functions and
capabilities required to monitor and manage their processing, storage,
and communication network resources. PHASE I: Investigate resource
allocation and apportionment mechanisms to control execution of tasks
in an object oriented distributed computing system as defined by the
Object Management Group/Object Management Architecture (OMG/OMA)
standards. Investigate, and identify multi-level Network Management
Systems mechanisms that operate in a cooperative manner to provide
hierarchical, peer-to-peer, summary level, and component level network
management across multiple user domains. Mechanisms should consider
available information system resources (processing, storage), available
communication network resources (bandwidth) and user requirements
(deadlines, level of effort, scope, security, etc.) PHASE II: Implement
either all or a subse Loren Data Corp. http://www.ld.com (SYN# 0542 19970630\SP-0008.MSC)
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