Adaptive binary material classification of an unknown object using polarimetric images degraded by atmospheric turbulence

2012 ◽  
Author(s):  
Mu J. Kim ◽  
Milo W. Hyde
2011 ◽  
Vol 49 (1) ◽  
pp. 264-276 ◽  
Author(s):  
Milo W. Hyde ◽  
Stephen C. Cain ◽  
Jason D. Schmidt ◽  
Michael J. Havrilla

2011 ◽  
Vol 50 (4) ◽  
pp. 434 ◽  
Author(s):  
Evyatar Hemo ◽  
Boris Spektor ◽  
Joseph Shamir

2005 ◽  
Vol 896 ◽  
Author(s):  
Richard Ames

AbstractImpact-initiated energetic materials are a class of energetic materials that are formulated to release energy under highly dynamic loads. Under quasi-static or static loads, however, the materials are intended to be inert and carry a material classification of 4.1 flammable solid. In general, these materials are formed by introducing metal powders into a polymer binder but a number of binderless varieties exist (primarily pressed/sintered intermetallics and thermites). Most of the materials are sufficiently insensitive so as not to produce a self-sustaining reaction; as such, they require the mechanical work of a high-strain-rate plastic deformation process to provide the energy required to drive the reaction. Traditional initiation techniques such as exploding bridge wires or flame initiation are not sufficient to maintain a reaction in this class of materials. This paper presents a brief overview of the energy release characteristics of this class of materials, including a discussion of the material formulations, initiation phenomena, and a discussion of the manner in which the material properties affect the energy release characteristics.


Author(s):  
D. Claire Gloeckner ◽  
Michael B. Chancellor ◽  
Michael S. Sacks

Changes in the mechanical properties of the urinary bladder wall following neurogenic disease or trauma can result in bladder dysfunction. We have recently reported changes in the biaxial mechanical properties of the bladder wall 10 days after spinal cord injury in a rat model [1]. Development of a constitutive model to characterize these changes would facilitate quantitative comparisons and provide the necessary information for organ-level computational modeling. However, before an appropriate constitutive model of the bladder wall can be formulated, its material class must be identified. In the present study, we applied a generalized method for material classification of biaxial mechanical data to our previous data on the urinary bladder wall.


2010 ◽  
Vol 53 (2) ◽  
pp. 445-447 ◽  
Author(s):  
Dong Hyun Lee ◽  
Wee Sang Park

2006 ◽  
Vol 14 (02) ◽  
pp. 185-199 ◽  
Author(s):  
DOO-SUNG LEE ◽  
R. P. GILBERT ◽  
NOAM ZEEV

In this paper we investigate the unknown body problem in a waveguide. The Rayleigh conjecture states that every point on an illuminated body radiates sound from that point as if the point lies on its tangent sphere. This conjecture is the cornerstone of the intersecting canonical body approximation ICBA for solving the unknown body inverse problem. Therefore, the use of the ICBA requires that an analytical solution be known exterior to the sphere in the waveguide, which leads us to analytically compute the exterior solution for a sphere between two parallel plates. A least-squares matching of theoretical acoustic fields against the measured, scattered field permits a reconstruction of the unknown object.


2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Anik Trihastuti

Results of the classification of living beings learning reflection data showed 54 % of students pass the study and 45 % of students have not been thoroughly studied, so that the necessary process of learning improvement. The purpose of this study improve learning achievement IPA material classification of living things. The study design using classroom action research (PTK) through the application of math matching method. Research conducted at SMPN 2 Kwadungan Ngawi, research subjects students of class VII A numbered 24 students, Data collection techniques with methods of observation and tests. Data were analyzed descriptively. The results showed , the application of math matching methods improve learning achievement, the first cycle value completeness 63 %, 71 % second cycle and third cycle 92 %, the average value of the first cycle class 72.4, 72.4 second cycle, and the cycle III 78.


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