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Accurate registration plays a critical role in group-wise functional Magnetic Resonance Imaging (fMRI) image analysis, as spatial correspondence among different brain images is a prerequisite for inferring meaningful patterns. However, the problem is challenging and remains open, and more effort should be made to advance the state-of-the-art image registration methods for fMRI images. Inspired by...
During the numerical control manufacturing process, the operational path and process parameters were defined, however, the various kinds of manufacturing factors were still generating great uncertainties. In this paper, the quality entropy model of the manufacturing process is put for word to analyze the uncertainty factors on the products of NC machining. The entropy theory combined with information...
In order to track degradation trend of bearing performance using shock feature hidden in vibration signal, a best Morlet wavelet transform-based extraction method of full information energy entropy was proposed through integrating Morlet wavelet transform technology and full information technology. The optimization of Morlet wave shape factor was controlled by the minimum Shannon entropy. The information...
A concept of local gray entropy is introduced to solve the problem of the human body detection difficulty under the dim contrast environment. This paper analyses the trait of local gray entropy, and then proposes an algorithm of human target detection based on the trait, which is according to the principle that local gray entropy could reflect the discrete level accurately, and it has no relationship...
In this paper, the quantitative evaluation model- attribute recognition model is used to identify underground space's air quality. Three types of method are applicated to empower the objective weights, which avoid determining the weights subjectively. In the light of actual description of the process, the ultimate evaluation of underground space's air quality is fit for the result of reality.
In this paper, the quantitative evaluation model-attribute recognition model is used to identify underground spacepsilas air quality. Three types of method are applicated to empower the objective weights, which avoid determining the weights subjectively. In the light of actual description of the process, the ultimately evaluation of underground spacepsilas air quality is fit for the result of reality.
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