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The predictive maintenance policy of deteriorating equipment is studied in the paper. A semi-Markov decision process (SMDP) is utilized to modeling the deteriorating equipment. The model includes the inspection state which assumes equipment can fail due to both deterioration and random causes. The alternative action includes do nothing, do minor maintenance and do major maintenance after the inspection...
We propose a novel synthesis technique for reversible logic based on ant colony optimization (ACO). In our ACO-based approach, reversible logic synthesis is formulated as a best-path search problem, where artificial ants, starting from their nest (reversible function output), attempt to find the best path to the food source (reversible function input). The experimental results have demonstrated superior...
We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wire-frame vehicle model is set up as prior information and an efficient local gradient based method is proposed to evaluate the fitness between the projection of 3D model and image data, which illustrates smooth optimization surface and more conspicuous peak with low computational cost. Gradient decent is...
There is a strong need now for compilers of embedded systems to find effective ways of optimizing series of loop-nests, wherein majority of the memory references occur in the form of multi-dimensional arrays, indexed primarily with linear functions of iterators and parameterized constants. The reason for this are the new wireless standards, e.g. 802.11n, WiMAX, Bluetooth, HIPERMAN, 3GPP-LTE and WiBro,...
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