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Joint voltages resulting from lightning currents

Warne, Larry K.; Johnson, William Arthur.; Chen, Kenneth C.; Merewether, Kimball O.

Simple formulas are given for the interior voltages appearing across bolted joints from exterior lightning currents. External slot and bolt inductances as well as internal slot and bolt diffusion effects are included. Both linear and ferromagnetic wall materials are considered. A useful simplification of the slot current distribution into linear stripline and cylindrical parts (near the bolts) allows the nonlinear voltages to be estimated in closed form.

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LinguisticBelief: a java application for linguistic evaluation using belief, fuzzy sets, and approximate reasoning

Darby, John

LinguisticBelief is a Java computer code that evaluates combinations of linguistic variables using an approximate reasoning rule base. Each variable is comprised of fuzzy sets, and a rule base describes the reasoning on combinations of variables fuzzy sets. Uncertainty is considered and propagated through the rule base using the belief/plausibility measure. The mathematics of fuzzy sets, approximate reasoning, and belief/ plausibility are complex. Without an automated tool, this complexity precludes their application to all but the simplest of problems. LinguisticBelief automates the use of these techniques, allowing complex problems to be evaluated easily. LinguisticBelief can be used free of charge on any Windows XP machine. This report documents the use and structure of the LinguisticBelief code, and the deployment package for installation client machines.

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Linguistic evaluation of terrorist scenarios: example application

Darby, John

In 2005, a group of international decision makers developed a manual process for evaluating terrorist scenarios. That process has been implemented in the approximate reasoning Java software tool, LinguisticBelief, released in FY2007. One purpose of this report is to show the flexibility of the LinguisticBelief tool to automate a custom model developed by others. LinguisticBelief evaluates combinations of linguistic variables using an approximate reasoning rule base. Each variable is comprised of fuzzy sets, and a rule base describes the reasoning on combinations of variables fuzzy sets. Uncertainty is considered and propagated through the rule base using the belief/plausibility measure. This report documents the evaluation and rank-ordering of several example terrorist scenarios for the existing process implemented in our software. LinguisticBelief captures and propagates uncertainty and allows easy development of an expanded, more detailed evaluation, neither of which is feasible using a manual evaluation process. In conclusion, the Linguistic-Belief tool is able to (1) automate an expert-generated reasoning process for the evaluation of the risk of terrorist scenarios, including uncertainty, and (2) quickly evaluate and rank-order scenarios of concern using that process.

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Results 80601–80625 of 96,771
Results 80601–80625 of 96,771