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In this paper, a system identification method based on BP-network is proposed to realize the study of dynamic characteristics of high power LED luminaire. LED input-output characteristic relations are obtained according to the lighting system structure, and response curves are received using the method of input isolation. A Back Propagation network model is established to simulate input and output...
Feature matching is a challenging problem at the heart of numerous computer graphics and computer vision applications. We present the SuperMatching algorithm for finding correspondences between two sets of features. It does so by considering triples or higher order tuples of points, going beyond the pointwise and pairwise approaches typically used. SuperMatching is formulated using a supersymmetric...
Traditional skin recognition process include parameters ensuring and recognition. Most recognition focused on the accurate of parameters and taked out method of filter light information of image. Experiment proved that the light imformation can not be filter directly from image. This paper take out algorithm of skin recognition based on image enhance method. Firstly, image is enhanced non-linear transform...
Constraint solving is a fundamental tenet of most test case generation strategies. However, conventional constraint solving methods were not designed in consideration of that aspect of test case generation. It has led to a situation where test case generation techniques can miss test cases when constraints contain function invocations. This is due to the fact that, when solving constraints to generate...
An adaptive random (AR) testing strategy has recently been developed and examined by a growing body of research. More recently, this strategy has been applied to prioritizing regression test cases based on code coverage using the concepts of Jaccard Distance (JD) and Coverage Manhattan Distance (CMD). Code coverage, however, does not consider frequency, furthermore, comparison between JD and CMD has...
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