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NASA Scientific and Technical Aerospace Reports

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The simulation system with a post-processor is also described. This integrated simulator includes numerical process <strong>and</strong> device<br />

modeling to underst<strong>and</strong> <strong>and</strong> design submicrometer Si devices with nonplanar Si/Si02 structure. For 0.5 pm MOSFET device<br />

simulation, it has simple <strong>and</strong> accurate physical models of carrier mobilities <strong>and</strong> nonlocal impact ionization process. The<br />

capabilities of three-dimensional modeling are actually proved in the avalanche breakdown simulation of LOCOS isolated 0.5<br />

micron MOSFETs within 5-percent accuracy. It has been confirmed that the accurate <strong>and</strong> practical process/device CAD is<br />

realized in three dimensions using a super-computer.<br />

Author<br />

Mathematical Models; Simulators; Three Dimensional Models; Supercomputers<br />

20060002151 North Carolina Univ., Raleigh, NC, USA<br />

1-D to N-D Highly Parallel Computing Structures for IIR Digital Filters<br />

Alex<strong>and</strong>er, Winser E.; Chwen-Jye, Ju; 1987 IEEE International Symposium on Circuits <strong>and</strong> Systems, Volume 2; 1987,<br />

pp. 538-542; In English; See also 20060002103; Copyright; Avail.: Other Sources<br />

Advances in VLSI technology <strong>and</strong> corresponding advances in the development of parallel algorithms have made it more<br />

<strong>and</strong> more practical to consider the implementation of multidimensional (N-D) digital filters in real-time. There are two<br />

approaches to the development of high performance architectures for implementing digital filters in real-time. One approach<br />

is to decompose the transfer function to take advantage of inherent parallelism. This approach works well for one-dimensional<br />

(l-D) digital filters. However, this approach is difficult for N-D digital filters because of the lack of a fundamental theorem for<br />

the factorization or partial fraction expansion of the transfer function. The other approach is to process the data in block form.<br />

This paper will address this second approach as an option for partitioning N-D digital filters for implementation on a<br />

multiprocessor system.<br />

Author<br />

Multiprocessing (Computers); Parallel Processing (Computers); Very Large Scale Integration; Mathematical Models;<br />

Algorithms; IIR Filters<br />

20060002155 International Business Machines Corp., Palo Alto, CA, USA<br />

Flow-of-Activation Processing<br />

Cruz, Claude A.; Hanson, William a.; Tam, Jason Y.; 1987 IEEE International Symposium on Circuits <strong>and</strong> Systems, Volume<br />

2; 1987, pp. 358-361; In English; See also 20060002103; Copyright; Avail.: Other Sources<br />

Since late 1981, a group at IBM’s Palo Alto <strong>Scientific</strong> Center has been studying a novel computational mechanism called<br />

‘flow-of activation networks’ or ‘FAN’. This work builds upon a wealth of interdisciplinary knowledge contributed by<br />

numerous investigators over many years. It includes advances in the theoretical underst<strong>and</strong>ing <strong>and</strong> application of FANs, as<br />

well as development of numerous tools to facilitate these studies. Several application areas are being assessed, including<br />

knowledge-based systems, robotic vision <strong>and</strong> distributed real-time control.<br />

Author<br />

Active Control; Distributed Parameter Systems; Expert Systems; Computer Vision<br />

20060002156 Carnegie-Mellon Univ., Pittsburgh, PA, USA<br />

Representing Lattice Ordered Associative Memories with Artificial Neural Networks<br />

Lemmon, M.; Vijaya Kumar, B. V. K.; 1987 IEEE International Symposium on Circuits <strong>and</strong> Systems, Volume 2; 1987,<br />

pp. 362-365; In English; See also 20060002103; Copyright; Avail.: Other Sources<br />

Associative memory is treated as a process which stores <strong>and</strong> recalls entities <strong>and</strong> the relationships between these entities.<br />

Relationships between entities induce a partial ordering of the memory space which may then be captured <strong>and</strong> represented by<br />

an artificial neural network.<br />

Author<br />

Neural Nets; Associative Memory; Vector Spaces; Metric Space<br />

20060002237 Mitre Corp., McLean, VA, USA<br />

Potential IP Solutions for Networking Selected FAA Weather Systems<br />

Jalleta, Ezra; Liu, Minqi; Simons, Mark; Proceedings of the Fifth Integrated Communications, Navigation, <strong>and</strong> Surveillance<br />

(ICNS) Conference <strong>and</strong> Workshop; November 2005; 23 pp.; In English; See also 20060002231; Original contains color<br />

illustrations<br />

Contract(s)/Grant(s): DTFA01-01-C-00001; No Copyright; Avail.: CASI: A03, Hardcopy; Available from CASI on CD-ROM<br />

only as part of the entire parent document<br />

151

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