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Levels of Probability of Exceedance for Current Code Spectra in China
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作者 Shen Jianwen Liu Zheng Shi Shuzhong 《Earthquake Research in China》 2008年第2期131-136,共6页
Long-period acceleration spectra determined by seismic safety evaluation for project sites are generally lower than that given by relative code spectra.In this paper,we discuss the recurrence periods corresponding to ... Long-period acceleration spectra determined by seismic safety evaluation for project sites are generally lower than that given by relative code spectra.In this paper,we discuss the recurrence periods corresponding to the code spectra of different periods,by using ground motion attenuation laws for sites of types Ⅰ and Ⅲ.We show the results that the longer the periods of code spectra are commonly the more conservative the seismic level is.As for the project examples in this paper,when the periods are longer than 3.7 or 5.2 seconds for sites of types Ⅰ or Ⅲ,the recurrence periods corresponding to the code spectra are longer than 5000 years.We suggest that some problems need to be further discussed,including the reliability of the present attenuation laws,the performance of those project structures that suffer long period seismic waves and have been designed according to the conservative codes,and the effects of ground motion parameters such as velocity and displacement on seismic design. 展开更多
关键词 Seismic design Code spectra probability level of exceedance
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AGGREGATE IMAGE BASED TEXTURE IDENTIFICATION USING GRAY LEVEL CO-OCCURRENCE PROBABILITY AND BP NEURAL NETWORK
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作者 Chen Ken Wang Yicong +2 位作者 Zhao Pan Larry E. Banta Zhao Xuemei 《Journal of Electronics(China)》 2009年第3期428-432,共5页
Classifying the texture of granules in 2D images has aroused manifold research atten-tion for its technical challenges in image processing areas.This letter presents an aggregate texture identification approach by joi... Classifying the texture of granules in 2D images has aroused manifold research atten-tion for its technical challenges in image processing areas.This letter presents an aggregate texture identification approach by jointly using Gray Level Co-occurrence Probability(GLCP) and BP neural network techniques.First, up to 8 GLCP-associated texture feature parameters are defined and computed, and these consequent parameters next serve as the inputs feeding to the BP neural network to calculate the similarity to any of given aggregate texture type.A finite number of aggregate images of 3 kinds, with each containing specific type of mineral particles, are put to the identification test, experimentally proving the feasibility and robustness of the proposed method. 展开更多
关键词 Aggregate image Texture identification Gray level Co-occurrence probability(GLCP) BP neural network
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A Generalized Information Criterion for Parameters under an Umbrella Order Restriction
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作者 宋海燕 陶剑 史宁中 《Northeastern Mathematical Journal》 CSCD 2005年第2期127-130,共4页
The detection of the configuration of parameters is one of the most important problems in statistical studies. It is well known that the Akaike’s information criterion (AIC) is a key tool for this problem
关键词 umbrella ordering level probability AIC criterion ORIC criterion
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