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Automated Data Acquisition for In-Situ Material-Processing Modeling

Award Information

Agency:
Department of Defense 		Branch:
Air Force 		Award ID:
32309 		Program Year/Program:
1996 / SBIR
Agency Tracking Number:
32309 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
ADVANCED REFRACTORY TECHNOLOGIES, INC.
699 Hertel Ave., Suite 290 Buffalo, NY 14207
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1996
Title: Automated Data Acquisition for In-Situ Material-Processing Modeling
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $99,706.00
 

Abstract:

Exploiting the many analogies between biological neurons and the cells within a spreadsheet application, we have succeeded in constructing independtly functioning, self-trained neural network cascades that are capable of (1) forming models of their spreadsheet environment, (2) manipulating data, (3) identifying anomalous information or noise, (4) locomotion, and (5) control over external instruments or devices. If information gathered by process sensors is fed through a spreadsheet application by dynamic data exchange, such neurological cascades or "databots" may be used to patrol the resulting databases, automatically identifying systematic and random noise, forming both neural and semantic models, organizing data, and coordinating external sensors and actuators. These accomplishments are made possible through two pioneering efforts. The first is the so-called "Creativity Machine Paradigm," allow autonomous discovery and planning using a tandem arrangement of chaotic and supervising networks. The second achievement involves the implementation of this paradigm without the use of any algorithmic code, instead using the inherent parallel processing capacity built into spreadsheet applications via cell referencing and resident spreadsheet functions. Autonomy of this spreadsheet "organism" is guaranteed by the encapsulation of both data and function, reminiscent of object-oriented programming, but now implemented in a virtual, analog network.

Principal Investigator:

Arvind Goel
7168754091

Business Contact:

Small Business Information at Submission:

Advanced Refractory
699 Hertel Ave. Buffalo, NY 14207

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No