학술논문

Modeling gunshot bruises in soft body armor with an adaptive fuzzy system
Document Type
Periodical
Source
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) IEEE Trans. Syst., Man, Cybern. B Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on. 35(6):1374-1390 Dec, 2005
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Power, Energy and Industry Applications
Adaptive systems
Fuzzy systems
Function approximation
Biological materials
Deformable models
Biological tissues
Fuzzy sets
Robustness
System testing
Uncertainty
Adaptive fuzzy systems
body armor
bruise modeling
bullet backface signature
function approximation
tissue simulant
Language
ISSN
1083-4419
1941-0492
Abstract
Gunshots produce bruise patterns on persons who wear soft body armor when shot even though the armor stops the bullets. An adaptive fuzzy system modeled these bruise patterns based on the depth and width of the deformed armor 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. Handguns shot different caliber bullets at armor that had a 10%-ordnance gelatin backing. The gelatin blocks were tissue simulants. The gunshot data tuned the additive fuzzy function approximator. The fuzzy system's conditional variance V[Y|X=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 250 A 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/=0.881 and p-value