Issue 10 Volume 41 May 16, 2003

20030033048 NASA Kennedy Space Center, Cocoa Beach, FL, USA
Advanced Data Acquisition Systems
Perotti, J.; [2003]; 5 pp.; In English; Propulsion Measurement Sensor Development Workshop, 13-15 May 2003, Huntsville,
AL, USA; Original contains black and white illustrations
Report No.(s): KSC-2003-049; No Copyright; Avail: CASI; A01, Hardcopy
Current and future requirements of the aerospace sensors and transducers field make it necessary for the design and
development of new data acquisition devices and instrumentation systems. New designs are sought to incorporate self-health,
self-calibrating, self-repair capabilities, allowing greater measurement reliability and extended calibration cycles. With the
addition of power management schemes, state-of-the-art data acquisition systems allow data to be processed and presented to
the users with increased efficiency and accuracy. The design architecture presented in this paper displays an innovative
approach to data acquisition systems. The design incorporates: electronic health self-check, device/system self-calibration,
electronics and function self-repair, failure detection and prediction, and power management (reduced power consumption).
These requirements are driven by the aerospace industry need to reduce operations and maintenance costs, to accelerate
processing time and to provide reliable hardware with minimum costs. The project’s design architecture incorporates some
commercially available components identified during the market research investigation like: Field Programmable Gate Arrays
(FPGA) Programmable Analog Integrated Circuits (PAC IC) and Field Programmable Analog Arrays (FPAA); Digital Signal
Processing (DSP) electronic/system control and investigation of specific characteristics found in technologies like: Electronic
Component Mean Time Between Failure (MTBF); and Radiation Hardened Component Availability. There are three main
sections discussed in the design architecture presented in this document. They are the following: (a) Analog Signal Module
Section, (b) Digital Signal/Control Module Section and (c) Power Management Module Section. These sections are discussed
in detail in the following pages. This approach to data acquisition systems has resulted in the assignment of patent rights to
Kennedy Space Center under U.S. patent # 6,462,684. Furthermore, NASA KSC commercialization office has issued licensing
rights to Circuit Avenue Netrepreneurs, LLC , a minority-owned business founded in 1999 located in Camden, NJ.
Derived from text
Systems Health Monitoring; Smart Structures; Data Acquisition; Architecture (Computers); Maintenance; Fault Detection;
Calibrating
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COMPUTER PROGRAMMING AND SOFTWARE
Includes software engineering, computer programs, routines, algorithms, and specific applications, e.g., CAD/CAM. For computer
software applied to specific applications, see also the associated category.
20030032283 NASA Ames Research Center, Moffett Field, CA, USA
Using Grid Benchmarks for Dynamic Scheduling of Grid Applications
Frumkin, Michael; Hood, Robert; [2003]; 11 pp.; In English; HPDC12, 22-24 Jun. 2003, Seattle, WA, USA; Original contains
black and white illustrations
Contract(s)/Grant(s): 704-42-42; Copyright; Avail: CASI; A03, Hardcopy
Navigation or dynamic scheduling of applications on computational grids can be improved through the use of an
application-specific characterization of grid resources. Current grid information systems provide a description of the resources,
but do not contain any application-specific information. We define a GridScape as dynamic state of the grid resources. We
measure the dynamic performance of these resources using the grid benchmarks. Then we use the GridScape for automatic
assignment of the tasks of a grid application to grid resources. The scalability of the system is achieved by limiting the
navigation overhead to a few percent of the application resource requirements. Our task submission and assignment protocol
guarantees that the navigation system does not cause grid congestion. On a synthetic data mining application we demonstrate
that Gridscape-based task assignment reduces the application tunaround time.
Author
Computational Grids; Architecture (Computers); Automatic Control; Programming (Scheduling); Computer Systems
Programs; Machine Learning
20030032435 NASA Ames Research Center, Moffett Field, CA, USA
Characterization of Model-Based Reasoning Strategies for Use in IVHM Architectures
Poll, Scott; Iverson, David; Patterson-Hine, Ann; [2003]; 13 pp.; In English; Original contains black and white illustrations;
No Copyright; Avail: CASI; A03, Hardcopy
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