학술논문

Fuzzy modeling of gunshot bruises in soft body armor
Document Type
Conference
Source
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. Fuzzy information processing Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the. 1:180-185 Vol.1 2004
Subject
Computing and Processing
Fuzzy systems
Function approximation
Biological tissues
Adaptive systems
Gene therapy
Laboratories
Fuzzy sets
Robustness
System testing
Uncertainty
Language
Abstract
Gunshots produce bruise patterns on persons who wear soft body armor when shot even when the armor stops the bullets. An adaptive fuzzy system modeled these bruise patterns by their depth and width given a projectile's mass and momentum. The fuzzy system used rules with sinc-shaped if-part fuzzy sets and was robust against random rule pruning: Median and mean test errors remained low even after removing up to one fifth of the rules. Gunshot data tuned the additive fuzzy function approximator. The fuzzy system's conditional variance V[Y|X /spl middot/= x] described the second-order uncertainty of the function approximation. Handguns with different barrel lengths shot bullets over a fixed distance at armor-clad gelatin blocks that we made with Type 250A Ordnance Gelatin. The bullet-armor experiments found that a bullet's weight and momentum correlated with the depth of its impact on armor-clad gelatin (R/sup 2/ = 0.953 and p-value < 0.001 for the null hypothesis that the regression line had zero slope). Related experiments on plumber's putty found that highspeed baseball impacts compared well to bullet-armor impacts for large-caliber handguns. A baseball's impact depth in putty correlated with its momentum (R/sup 2/ = 0.93 and p-value < 0.001). Baseball impact depths were comparable to bullet-armor impact depths: Getting shot with a .22 caliber bullet when wearing soft body armor resembles getting hit in the chest with a 40-mph baseball. Getting shot with a .45 caliber bullet resembles getting hit with a 90-mph baseball.