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NASA Scientific and Technical Aerospace Reports

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20060001694 Motorola, Inc., Schaumburg, IL, USA<br />

The Architecture <strong>and</strong> Application of the Motorola DSP56000 Digital Signal Processor Family<br />

Kloker, Kevin L.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1; 1987,<br />

pp. 523-526; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

This paper describes the architecture <strong>and</strong> applications of the DSP56001, a RAM-based member of Motorola DSP56000<br />

family of high performance, programmable CMOS digital signal processors. DSP56001 has 512 x 24 bits of program RAM<br />

<strong>and</strong> special on-chip bootstrap hardware to download user programs from an external memory or host processor. DSP56001<br />

also contains two 256 x 24 bit data <strong>and</strong> two 256 x 24 bit ROM lookup tables for Mu-law/A-law to linear data conversion <strong>and</strong><br />

sine/cosine functions. The processor architecture <strong>and</strong> instruction set are highly parallel, executing 10.25 million instructions<br />

per second with a 20.5 MHz Fixed point arithmetic is performed by a 24 x 24 bit, non-pipelined multiply-accumulator with<br />

56 bit product accumulation. Extensive I/C capability is provided by a full-speed memory expansion port, a wide host<br />

processor interface, an asynchronous communications interface <strong>and</strong> a time division multiplexed, synchronous serial interface.<br />

Author<br />

Architecture (Computers); Applications Programs (Computers); Signal Processing; Digital Systems<br />

20060001717 NYNEX Science <strong>and</strong> Technology, Inc., White Plains, NY, USA<br />

A New Heuristic Edge Extraction Technique<br />

Shu, Joseph S. P.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1; 1987,<br />

pp. 7.20.1-7.20.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

The problem of detecting intensity changes within images is canonical in computer vision. This research paper presents<br />

a new heuristic edge extraction (HEE) technique for solving the problem. The HEE consists of the following processes:<br />

processing, Sobel edge detection, thinning edge operation, A Iota A* algorithm (minimum-cost-searching scheme), <strong>and</strong> chain<br />

coding. The preprocessing improves image quality to facilitate edge extraction. Sobel edge detection is used for obtaining the<br />

spatially accurate multi-pixel-wide edges within input images. The thinning edge operation yields one-pixel-wide edges by<br />

processing the Sobel edges. A Iota A* algorithm extracts optimal curve edge segments based on the use of both thinned edge<br />

intensity <strong>and</strong> Sobel edge direction (i.e. gradient direction). Finally, the chain coding technique is applied to encode extracted<br />

optimal curse edge segments. The HEE provides, therefore, spatially accurate, high-quality, <strong>and</strong> exactly one-pixel-wide edges<br />

as system output.<br />

Author<br />

Edge Detection; Edges; Heuristic Methods; Extraction<br />

20060001769 Naval Research Lab., Washington, DC USA<br />

A Formal Syntax <strong>and</strong> Semantics for the GSPML Language<br />

McDermott, John P.; Oct. 31, 2005; 60 pp.; In English<br />

Contract(s)/Grant(s): Proj-IT-235-007<br />

Report No.(s): AD-A440151; NRL/MR/5540-05-8919; No Copyright; Avail.: Defense <strong>Technical</strong> Information Center (DTIC)<br />

This report formally defines both a syntax <strong>and</strong> a semantics for the GSPML visual language. The syntax is defined with<br />

a hypergraph grammar <strong>and</strong> the semantics is defined with Plotkin style structural operational semantics. A decorated trace<br />

semantics is derived from the labeled transition system of the structural operational semantics. GSPML itself is motivated by<br />

shortcomings in the visual security modeling capabilities of the Model Driven Architecture (MDA) .<br />

DTIC<br />

Computer Information Security; Computer Programming; Languages; Protocol (Computers); Security; Semantics;<br />

Simulation; Software Engineering; Syntax<br />

20060001784 Maryl<strong>and</strong> Univ., Baltimore, MD USA<br />

Combining Infrastructure <strong>and</strong> Ad Hoc Collaboration for Data Management in Mobile Wireless Networks<br />

Ratsimor, Olga; Kodeswaran, Sethuram B.; Joshi, Anupam; Finin, Tim; Yesha, Yelena; Jan. 1, 2005; 11 pp.; In English<br />

Contract(s)/Grant(s): F30602-00-2-0591<br />

Report No.(s): AD-A440200; No Copyright; Avail.: Defense <strong>Technical</strong> Information Center (DTIC)<br />

A mobile ad-hoc network is an autonomous system of mobile routers that are self-organizing <strong>and</strong> completely decentralized<br />

with no requirements for dedicated infrastructure support. However, such infrastructure in terms of base stations is available<br />

in many popular areas already. These base stations often offer high-speed data connectivity to a wired network. In this paper,<br />

we describe an approach where a combination of infrastructure <strong>and</strong> ad hoc communication can be used to better manage the<br />

130

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