A systems engineering decision algorithm with application to Apollo Applications Program integration problems
Systems engineering decision algorithm related to Apollo Applications Program integration problems
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Systems engineering decision algorithm related to Apollo Applications Program integration problems
Human decision making in manned space flight including topics on memory models, signal detection, and pilot performance
Apollo decision and lessons for policy-makers
Decision making where goals or constraints are not sharply defined boundaries and fuzzy using dynamic programming
Individual and group risky decision preference in action task performance
Multidimensional data efficient decomposition for communication interface between man machine system, considering decision making and pattern recognition on digital computers with orthogonal transformations
Decision algorithms simulating human controller adaptive behavior in controlling VTOL aircraft in hover following stability augmentation system failure
Risk-reducing information role in decision making using Marschak bidding procedure
Telemetry decommutation algorithm for applying Bayesian decisions to demodulated received bits data
Model of executive decision making emphasizing interaction of organization members
Modified integrate and dump detector using FM click mechanism for improving bit decision and reducing error rates in FSK system
Optimum and suboptimum decision rules for two- channel deep space telemetry system with modulation consisting of PM with two orthogonal phase functions
Reliability in key project decision making, including failure mode/effect analyses, design tradeoff, baseline meetings, hardware storage and data bases
Human psychomotor performance measurements in rotating environments, using Langley complex coordinator and decision response time devices
An investigation has been made to determine the effects of noise on human performance. Fourteen subjects performed a memory-decision-response task in relative quiet and while listening to tape recorded noises. Analysis of the data obtained indicates that performance was degraded in the presence of noise. Significant increases in problem solution times were found for impulsive noise conditions as compared with times found for the no-noise condition. Performance accuracy was also degraded. Significantly more error responses occurred at higher noise levels; a direct or positive relation was found between error responses and noise level experienced by the subjects.
The Lie series recursive algorithm for Zubov's partial differential equation is used to generate two sets of points, where one represents the exact asymptotic stability boundary of an equilibrium state of the nonlinear system under consideration and the other is interior to it. Based on these two sets of data as training samples of two classes, a decision hypersurface can be determined such that it is a close approximation of the asymptotic stability boundary.
Differing decision models and operational characteristics affecting the economic expenses (i.e., the costs of protection and losses suffered if no protective measures have been taken) associated with the use of predictive weather information have been examined.
Description of a 40-megabit-per-second hard decision sequential decoder which employs the fastest commercially available digital integrated circuits - MECL III. With this decoder an internal computational rate of 70,000,000 computations per second has been achieved. The computational efficiency of the decoding algorithm has been improved by incorporating two modifications to the Fano algorithm - namely, 'double quick threshold loosening' and 'diagonal steps.' On the basis of preliminary results, an output error rate of 0.00001 can be achieved with E sub b/N sub zero less than 5.4 dB at data rates up to 40 megabits per second. The very high internal operating speed of the decoder represents a factor of five increase in speed over any previous sequential decoder.