Based on the Morlet wavelet transform and digital data from the Fushun and Beizhen seismic stations, Liaoning Province, we put forward a new method in the paper, called time-frequency energy attenuation factor （α-va...Based on the Morlet wavelet transform and digital data from the Fushun and Beizhen seismic stations, Liaoning Province, we put forward a new method in the paper, called time-frequency energy attenuation factor （α-value）. The characteristics of the α-value and its variation with magnitude of natural and mine earthquakes are studied, and the statistic relations between the α-value and specific earthquake magnitude are obtained. From the results, some conclusions can be drawn as follows： （1） in general, the α-values of mine and natural earthquakes of the same intensity have obvious difference and the ranges of their variation do not overlap each other; （2） the α-value decreases with the increase of earthquake magnitude, and the α-value of mine earthquake decreases faster than that of natural earthquake; （3） based on the earthquake magnitude and on the relations between the α-value and earthquake magnitude, we can distinguish the mine earthquakes from the natural ones; （4） the difference in focal mechanism of mine and natural earthquakes would be the main cause for obvious difference of the α-value; （5） the α-value variation is relatively steady for mine and natural earthquakes that occur in the same region, but it has obvious regional difference. The above results are of inspirational meaning for the study of abnormal change of the α-value before strong earthquakes.展开更多
DNA polymorphism in the cultivar species;Cucumis sativus L., C. melo L. and Benincasa hispida Cogn. of subtribe Cucumerinae (Cucurbitaceae) in the four northeastern provinces of Thailand was examined by using RAPD tec...DNA polymorphism in the cultivar species;Cucumis sativus L., C. melo L. and Benincasa hispida Cogn. of subtribe Cucumerinae (Cucurbitaceae) in the four northeastern provinces of Thailand was examined by using RAPD technique. Twenty 10-mer primers were produced 212 RAPD fragments, ranging from approximately 120 to 2531 bp. The genetic similarities were estimated from banding profiles using a NTSYS* version 2.1 as a basis for dendrogram construction via the UPGMA method. Cluster analysis divided the taxa under study into 2 clades. Moreover, a RAPD marker: Cm (OPJ11700) was specified to C. melo, and this marker was converted into sequence characterized amplified region (SCAR) marker: Cm (SCJ11516). A pair of sequence-specific primer of clones Cm (OPJ11700) amplified a distinct single band of the same size as the RAPD clones. The SCAR marker was developed successfully to identify C. melo genotype.展开更多
Biometric identification was a kind of identity recognition technology by making use of the human's unique physiological or behavioral characteristics,it provided a high reliability and stability way for the ident...Biometric identification was a kind of identity recognition technology by making use of the human's unique physiological or behavioral characteristics,it provided a high reliability and stability way for the identification. Global threshold binarization palmprint image is used in this paper,and the bio-morphological methods are used to get the sensitive area of palmprint image's positioning point,so as to extract the region of interest. The palmprint collection is realized on the FPGA chip,and this kind of collection method uses the DSP Builder toolbox to realize visual programming in Matlab / Simulink and achieve fast modeling and development. The practice proves that this method is simple,flexible and its equipment is portable and fast.展开更多
A generalized flexibility–based objective function utilized for structure damage identification is constructed for solving the constrained nonlinear least squares optimized problem. To begin with, the generalized fle...A generalized flexibility–based objective function utilized for structure damage identification is constructed for solving the constrained nonlinear least squares optimized problem. To begin with, the generalized flexibility matrix (GFM) proposed to solve the damage identification problem is recalled and a modal expansion method is introduced. Next, the objective function for iterative optimization process based on the GFM is formulated, and the Trust-Region algorithm is utilized to obtain the solution of the optimization problem for multiple damage cases. And then for computing the objective function gradient, the sensitivity analysis regarding design variables is derived. In addition, due to the spatial incompleteness, the influence of stiffness reduction and incomplete modal measurement data is discussed by means of two numerical examples with several damage cases. Finally, based on the computational results, it is evident that the presented approach provides good validity and reliability for the large and complicated engineering structures.展开更多
提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据...提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据提取图像的ROI和基于改进的Itti-Koch模型提取的图像ROI进行区域评价,计算两者之间的点对点区域相似度和位置区域相似度。研究结果表明:当亮度特征和颜色特征同时影响图像ROI提取时,亮度特征所占权重不宜超过0.5。展开更多
SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFA...SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFAR方法实现目标的恒虚警检测,同时对ROI切片计算鉴别特征,并实现序贯鉴别。最后利用X波段SAR图像数据验证了该文的ROI提取技术,给出了鉴别输出的ROI,处理结果显示该文算法能准确提取车辆目标ROI,有效消除虚警。展开更多
文摘Based on the Morlet wavelet transform and digital data from the Fushun and Beizhen seismic stations, Liaoning Province, we put forward a new method in the paper, called time-frequency energy attenuation factor （α-value）. The characteristics of the α-value and its variation with magnitude of natural and mine earthquakes are studied, and the statistic relations between the α-value and specific earthquake magnitude are obtained. From the results, some conclusions can be drawn as follows： （1） in general, the α-values of mine and natural earthquakes of the same intensity have obvious difference and the ranges of their variation do not overlap each other; （2） the α-value decreases with the increase of earthquake magnitude, and the α-value of mine earthquake decreases faster than that of natural earthquake; （3） based on the earthquake magnitude and on the relations between the α-value and earthquake magnitude, we can distinguish the mine earthquakes from the natural ones; （4） the difference in focal mechanism of mine and natural earthquakes would be the main cause for obvious difference of the α-value; （5） the α-value variation is relatively steady for mine and natural earthquakes that occur in the same region, but it has obvious regional difference. The above results are of inspirational meaning for the study of abnormal change of the α-value before strong earthquakes.
文摘DNA polymorphism in the cultivar species;Cucumis sativus L., C. melo L. and Benincasa hispida Cogn. of subtribe Cucumerinae (Cucurbitaceae) in the four northeastern provinces of Thailand was examined by using RAPD technique. Twenty 10-mer primers were produced 212 RAPD fragments, ranging from approximately 120 to 2531 bp. The genetic similarities were estimated from banding profiles using a NTSYS* version 2.1 as a basis for dendrogram construction via the UPGMA method. Cluster analysis divided the taxa under study into 2 clades. Moreover, a RAPD marker: Cm (OPJ11700) was specified to C. melo, and this marker was converted into sequence characterized amplified region (SCAR) marker: Cm (SCJ11516). A pair of sequence-specific primer of clones Cm (OPJ11700) amplified a distinct single band of the same size as the RAPD clones. The SCAR marker was developed successfully to identify C. melo genotype.
文摘Biometric identification was a kind of identity recognition technology by making use of the human's unique physiological or behavioral characteristics,it provided a high reliability and stability way for the identification. Global threshold binarization palmprint image is used in this paper,and the bio-morphological methods are used to get the sensitive area of palmprint image's positioning point,so as to extract the region of interest. The palmprint collection is realized on the FPGA chip,and this kind of collection method uses the DSP Builder toolbox to realize visual programming in Matlab / Simulink and achieve fast modeling and development. The practice proves that this method is simple,flexible and its equipment is portable and fast.
文摘A generalized flexibility–based objective function utilized for structure damage identification is constructed for solving the constrained nonlinear least squares optimized problem. To begin with, the generalized flexibility matrix (GFM) proposed to solve the damage identification problem is recalled and a modal expansion method is introduced. Next, the objective function for iterative optimization process based on the GFM is formulated, and the Trust-Region algorithm is utilized to obtain the solution of the optimization problem for multiple damage cases. And then for computing the objective function gradient, the sensitivity analysis regarding design variables is derived. In addition, due to the spatial incompleteness, the influence of stiffness reduction and incomplete modal measurement data is discussed by means of two numerical examples with several damage cases. Finally, based on the computational results, it is evident that the presented approach provides good validity and reliability for the large and complicated engineering structures.
文摘提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据提取图像的ROI和基于改进的Itti-Koch模型提取的图像ROI进行区域评价,计算两者之间的点对点区域相似度和位置区域相似度。研究结果表明:当亮度特征和颜色特征同时影响图像ROI提取时,亮度特征所占权重不宜超过0.5。
文摘SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFAR方法实现目标的恒虚警检测,同时对ROI切片计算鉴别特征,并实现序贯鉴别。最后利用X波段SAR图像数据验证了该文的ROI提取技术,给出了鉴别输出的ROI,处理结果显示该文算法能准确提取车辆目标ROI,有效消除虚警。
