Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemi...Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemical anomalies. The U-statistic method is one of the most important structural methods and is a kind of weighted mean that surrounding points of samples are considered in U value determination. However, it is able to separate the different anomalies based on only one variable. The main aim of the presented study is development of this method in a multivariate mode. For this purpose, U-statistic method should be combined with a multivariate method which devotes a new value to each sample based on several variables. Therefore, at the first step, the optimum p is calculated in p-norm distance and then U-statistic method is applied on p-norm distance values of the samples because p-norm distance is calculated based on several variables. This method is a combination of efficient U-statistic method and p-norm distance and is used for the first time in this research. Results show that p-norm distance of p=2(Euclidean distance) in the case of a fact that Au and As can be considered optimized p-norm distance with the lowest error. The samples indicated by the combination of these methods as anomalous are more regular, less dispersed and more accurate than using just the U-statistic or other nonstructural methods such as Mahalanobis distance. Also it was observed that the combination results are closely associated with the defined Au ore indication within the studied area. Finally, univariate and bivariate geochemical anomaly maps are provided for Au and As, which have been respectively prepared using U-statistic and its combination with Euclidean distance method.展开更多
An approach of limit state equation for surrounding rock was put forward based on deformation criterion. A method of symmetrical sampling of basic random variables adopted by classical response surface method was mend...An approach of limit state equation for surrounding rock was put forward based on deformation criterion. A method of symmetrical sampling of basic random variables adopted by classical response surface method was mended, and peak value and deflection degree of basic random variables distribution curve were took into account in the mended sampling method. A calculation way of probability moment, based on mended Rosenbluth method, suitable for non-explicit performance function was put forward. The first, second, third and fourth order moments of functional function value were calculated by mended Rosenbluth method through the first, second, third and fourth order moments of basic random variable. A probability density the function（PDF） of functional function was deduced through its first, second, third and fourth moments, the PDF in the new method took the place of the method of quadratic polynomial to approximate real functional function and reliability probability was calculated through integral by the PDF for random variable of functional function value in the new method. The result shows that the improved response surface method can adapt to various statistic distribution types of basic random variables, its calculation process is legible and need not itemtive circulation. In addition, a stability probability of surrounding rock for a tunnel was calculated by the improved method, whose workload is only 30% of classical method and its accuracy is comparative.展开更多
In mathematically statistical test methods that were used to get arming distance of fuze,Langlie method has been widely applied because it only use a few samples. Monte-Carlo method was used to simulate and calculate ...In mathematically statistical test methods that were used to get arming distance of fuze,Langlie method has been widely applied because it only use a few samples. Monte-Carlo method was used to simulate and calculate Langlie method test of fuze arming distance by using computer. The result shows that the larger error and scatter exist in the estimate of arming distance variance although 50% response level of arming distance can be estimated using a little sample; the correction coefficient of variance estimate can be got by simulating and calculating,but it is useless to a certain single test; this means that a larger error exists when Langlie method test is used to get the muzzle safety distance and the arming distance of fuze,and the maximum arming distance becomes shorter and the minimum one longer without correcting.展开更多
The depth of penetration(DOP)method is a well-known ballistic test method for characterisation and ranking of ceramic armour materials.The ceramic tile is bonded to a backing material of semi-infinite thickness,and th...The depth of penetration(DOP)method is a well-known ballistic test method for characterisation and ranking of ceramic armour materials.The ceramic tile is bonded to a backing material of semi-infinite thickness,and the penetration depth of the projectile gives a measure of the performance of the ceramic.There is,however,an inherent variability in the results from this test method.In this work,the accuracy and the variability of the DOP method has been investigated in a round robin exercise.Six ballistic test centres took part in the exercise.A test protocol was developed,in which the threat type(projectile and impact conditions)and a procedure on how to prepare the targets were specified.The targets consisted of alumina tiles of two different thicknesses that were bonded to polycarbonate backing cubes.Two different 7.62 mm armour piercing projectiles were employed;one with a hard steel core and one with a tungsten carbide core.The projectiles and the other materials all came from single material batches in order to avoid batch-to-batch variations in material properties.These materials were distributed between the ballistic test centres.The test results of the different ballistic test facilities were collected and compared.There was not a lot of variation between the average DOP values obtained at each laboratory,but the variation in penetration depth between shots was high.The consequence of this variation may be less confidence in the test results,and a statistical method was used to evaluate the required number of tests that are sufficient to obtain an average result with high confidence.In most cases,the required number of tests is much higher than what is practically feasible.This work was conducted as part of the European Defence Agency-project CERAMBALL.展开更多
The method to compress the training dataset of Support Vector Machine （SVM） based on the character of the Support Vector Machine is proposed. First, the distance between the unit in two training datasets, and then t...The method to compress the training dataset of Support Vector Machine （SVM） based on the character of the Support Vector Machine is proposed. First, the distance between the unit in two training datasets, and then the samples that keep away from hyper-plane are discarded in order to compress the training dataset. The time spent in training SVM with the training dataset compressed by the method is shortened obviously. The result of the experiment shows that the algorithm is effective.展开更多
Aiming at that the successive test data set of the strapdown inertial measurement unit is always small,a Bayesian method is used to study its statistical characteristics.Its prior and posterior distributions are set u...Aiming at that the successive test data set of the strapdown inertial measurement unit is always small,a Bayesian method is used to study its statistical characteristics.Its prior and posterior distributions are set up by the method and the pretest,sample and population information.Some statistical inferences can be made based on the posterior distribution.It can reduce the statistical analysis error in the case of small sample set.展开更多
The accuracy of background clutter model is a key factor which determines the performance of a constant false alarm rate(CFAR) target detection method. G0 distribution is one of the optimal statistic models in the syn...The accuracy of background clutter model is a key factor which determines the performance of a constant false alarm rate(CFAR) target detection method. G0 distribution is one of the optimal statistic models in the synthetic aperture radar(SAR) image background clutter modeling and can accurately model various complex background clutters in the SAR images. But the application of the distribution is greatly limited by its disadvantages that the parameter estimation is complex and the local detection threshold is difficult to be obtained. In order to solve the above-mentioned problems, an synthetic aperture radar CFAR target detection method using the logarithmic cumulant(Mo LC) + method of moment(Mo M)-based G0 distribution clutter model is proposed. In the method, G0 distribution is used for modeling the background clutters, a new Mo LC+Mo M-based parameter estimation method coupled with a fast iterative algorithm is used for estimating the parameters of G0 distribution and an exquisite dichotomy method is used for obtaining the local detection threshold of CFAR detection, which greatly improves the computational efficiency, detection performance and environmental adaptability of CFAR detection. Experimental results show that the proposed SAR CFAR target detection method has good target detection performance in various complex background clutter environments.展开更多
A vicious script detection method based on statistic is proposed by analyzing the vicious script in the hypertext markup language(HTML).We utilize the judgment matrix approach which is one of the subjective weighting ...A vicious script detection method based on statistic is proposed by analyzing the vicious script in the hypertext markup language(HTML).We utilize the judgment matrix approach which is one of the subjective weighting approaches to set the different weights for various statistic methods.Then we make use of the weighted geometric method to perfect the statistic results.Experimental results show the validity of this method.展开更多
为降低高速列车受电弓气动噪声,采用大涡模拟(Large Eddy Simulation,LES)和FW-H(Ffowcs Williams and Hawkings)声类比方法,在对空气流动及表面声辐射影响较大的原型受电弓圆形上下臂杆及绝缘子立柱进行尖椭圆化改型设计基础上,采用三...为降低高速列车受电弓气动噪声,采用大涡模拟(Large Eddy Simulation,LES)和FW-H(Ffowcs Williams and Hawkings)声类比方法,在对空气流动及表面声辐射影响较大的原型受电弓圆形上下臂杆及绝缘子立柱进行尖椭圆化改型设计基础上,采用三维流体分析软件STAR-CCM+对不同形状杆件受电弓进行流场特征和气动噪声数值模拟,并与原型受电弓进行对比。结果表明:受电弓远场辐射噪声主要集中在弓头、上下臂杆、底架及绝缘子等部位,尖椭圆化设计使受电弓上下臂杆和绝缘子迎流面压力减小,受电弓表面及周围流场的压力波动减弱,这是由于气流撞击受电弓形成的大尺度涡旋沿纵向方向发展破碎形成更小尺度的涡旋结构,进而降低了受电弓气动噪声;尖椭圆形状的改型受电弓较原型受电弓在横向、纵向方向均有气动降噪效果,时速350和400 km条件下改型受电弓纵向方向25 m处可分别降噪5.1和2.4 dB,降幅分别为6.7%和3.0%。研究结果可为设计制造新型低噪声高速列车受电弓提供基本数据支撑。展开更多
在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、...在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、偏移模式和偏移大小的情况下,探究了控制图对均值偏移的检测能力,通过比较平均运行长度等多个指标衡量控制图的性能表现.仿真结果表明,所开发的OPE-MEWMA控制图能够快速检测到均值偏移,灵敏度较高.展开更多
【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定...【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定,利用多元统计法、灰色关联度分析法和DTOPSIS法3种不同的评价方法进行适应性综合评价。基于主成分计算出综合得分,灰色关联度法计算出加权关联度,DTPOSIS法计算出相对贴近度。【结果】100份樱桃番茄的主要表型性状的变异系数在17.78%~306.46%之间,大部分性状间存在显著或极显著相关性。26个表型性状综合成了10个主成分,累计贡献率达71.901%。以3种评价方法对各种质进行排名,结果既有统一性,也有差异性,共有4份材料均排在前10名,分别是T55、T83、T42和T87,表明T55、T83、T42和T87是表现优良的种质,其中T55的表现最为优异。【结论】T55是最适宜银川平原地区栽培的种质材料,可作为重要的育种基础材料;上述3种方法对樱桃番茄的评价结果略有不同,但无巨大差异,说明方法可行,有利于种质资源评价方面的研究。展开更多
文摘Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemical anomalies. The U-statistic method is one of the most important structural methods and is a kind of weighted mean that surrounding points of samples are considered in U value determination. However, it is able to separate the different anomalies based on only one variable. The main aim of the presented study is development of this method in a multivariate mode. For this purpose, U-statistic method should be combined with a multivariate method which devotes a new value to each sample based on several variables. Therefore, at the first step, the optimum p is calculated in p-norm distance and then U-statistic method is applied on p-norm distance values of the samples because p-norm distance is calculated based on several variables. This method is a combination of efficient U-statistic method and p-norm distance and is used for the first time in this research. Results show that p-norm distance of p=2(Euclidean distance) in the case of a fact that Au and As can be considered optimized p-norm distance with the lowest error. The samples indicated by the combination of these methods as anomalous are more regular, less dispersed and more accurate than using just the U-statistic or other nonstructural methods such as Mahalanobis distance. Also it was observed that the combination results are closely associated with the defined Au ore indication within the studied area. Finally, univariate and bivariate geochemical anomaly maps are provided for Au and As, which have been respectively prepared using U-statistic and its combination with Euclidean distance method.
基金Project(50378036) supported by the National Natural Science Foundation of China Project (200503) supported by the Foundation ofCommunications Department of Hunan Province, China
文摘An approach of limit state equation for surrounding rock was put forward based on deformation criterion. A method of symmetrical sampling of basic random variables adopted by classical response surface method was mended, and peak value and deflection degree of basic random variables distribution curve were took into account in the mended sampling method. A calculation way of probability moment, based on mended Rosenbluth method, suitable for non-explicit performance function was put forward. The first, second, third and fourth order moments of functional function value were calculated by mended Rosenbluth method through the first, second, third and fourth order moments of basic random variable. A probability density the function（PDF） of functional function was deduced through its first, second, third and fourth moments, the PDF in the new method took the place of the method of quadratic polynomial to approximate real functional function and reliability probability was calculated through integral by the PDF for random variable of functional function value in the new method. The result shows that the improved response surface method can adapt to various statistic distribution types of basic random variables, its calculation process is legible and need not itemtive circulation. In addition, a stability probability of surrounding rock for a tunnel was calculated by the improved method, whose workload is only 30% of classical method and its accuracy is comparative.
文摘In mathematically statistical test methods that were used to get arming distance of fuze,Langlie method has been widely applied because it only use a few samples. Monte-Carlo method was used to simulate and calculate Langlie method test of fuze arming distance by using computer. The result shows that the larger error and scatter exist in the estimate of arming distance variance although 50% response level of arming distance can be estimated using a little sample; the correction coefficient of variance estimate can be got by simulating and calculating,but it is useless to a certain single test; this means that a larger error exists when Langlie method test is used to get the muzzle safety distance and the arming distance of fuze,and the maximum arming distance becomes shorter and the minimum one longer without correcting.
基金conducted as part of the European Defence Agency-project CERAMBALL,contract number B 1091 GEM1 GP
文摘The depth of penetration(DOP)method is a well-known ballistic test method for characterisation and ranking of ceramic armour materials.The ceramic tile is bonded to a backing material of semi-infinite thickness,and the penetration depth of the projectile gives a measure of the performance of the ceramic.There is,however,an inherent variability in the results from this test method.In this work,the accuracy and the variability of the DOP method has been investigated in a round robin exercise.Six ballistic test centres took part in the exercise.A test protocol was developed,in which the threat type(projectile and impact conditions)and a procedure on how to prepare the targets were specified.The targets consisted of alumina tiles of two different thicknesses that were bonded to polycarbonate backing cubes.Two different 7.62 mm armour piercing projectiles were employed;one with a hard steel core and one with a tungsten carbide core.The projectiles and the other materials all came from single material batches in order to avoid batch-to-batch variations in material properties.These materials were distributed between the ballistic test centres.The test results of the different ballistic test facilities were collected and compared.There was not a lot of variation between the average DOP values obtained at each laboratory,but the variation in penetration depth between shots was high.The consequence of this variation may be less confidence in the test results,and a statistical method was used to evaluate the required number of tests that are sufficient to obtain an average result with high confidence.In most cases,the required number of tests is much higher than what is practically feasible.This work was conducted as part of the European Defence Agency-project CERAMBALL.
基金the National Natural Science Foundation of China (60503024, 50634010)
文摘The method to compress the training dataset of Support Vector Machine （SVM） based on the character of the Support Vector Machine is proposed. First, the distance between the unit in two training datasets, and then the samples that keep away from hyper-plane are discarded in order to compress the training dataset. The time spent in training SVM with the training dataset compressed by the method is shortened obviously. The result of the experiment shows that the algorithm is effective.
文摘Aiming at that the successive test data set of the strapdown inertial measurement unit is always small,a Bayesian method is used to study its statistical characteristics.Its prior and posterior distributions are set up by the method and the pretest,sample and population information.Some statistical inferences can be made based on the posterior distribution.It can reduce the statistical analysis error in the case of small sample set.
基金Project(61105020)supported by the National Natural Science Foundation of ChinaProject(13zxtk08)supported by the Key Research Platform for Research Projects of Southwest University of Science and Technology,China
文摘The accuracy of background clutter model is a key factor which determines the performance of a constant false alarm rate(CFAR) target detection method. G0 distribution is one of the optimal statistic models in the synthetic aperture radar(SAR) image background clutter modeling and can accurately model various complex background clutters in the SAR images. But the application of the distribution is greatly limited by its disadvantages that the parameter estimation is complex and the local detection threshold is difficult to be obtained. In order to solve the above-mentioned problems, an synthetic aperture radar CFAR target detection method using the logarithmic cumulant(Mo LC) + method of moment(Mo M)-based G0 distribution clutter model is proposed. In the method, G0 distribution is used for modeling the background clutters, a new Mo LC+Mo M-based parameter estimation method coupled with a fast iterative algorithm is used for estimating the parameters of G0 distribution and an exquisite dichotomy method is used for obtaining the local detection threshold of CFAR detection, which greatly improves the computational efficiency, detection performance and environmental adaptability of CFAR detection. Experimental results show that the proposed SAR CFAR target detection method has good target detection performance in various complex background clutter environments.
基金Sponsored by the National 242 Information Security Project (2005A10 )and( 2007F40)the National Defence Basic Scientific Research Project(C1120060497)
文摘A vicious script detection method based on statistic is proposed by analyzing the vicious script in the hypertext markup language(HTML).We utilize the judgment matrix approach which is one of the subjective weighting approaches to set the different weights for various statistic methods.Then we make use of the weighted geometric method to perfect the statistic results.Experimental results show the validity of this method.
文摘为降低高速列车受电弓气动噪声,采用大涡模拟(Large Eddy Simulation,LES)和FW-H(Ffowcs Williams and Hawkings)声类比方法,在对空气流动及表面声辐射影响较大的原型受电弓圆形上下臂杆及绝缘子立柱进行尖椭圆化改型设计基础上,采用三维流体分析软件STAR-CCM+对不同形状杆件受电弓进行流场特征和气动噪声数值模拟,并与原型受电弓进行对比。结果表明:受电弓远场辐射噪声主要集中在弓头、上下臂杆、底架及绝缘子等部位,尖椭圆化设计使受电弓上下臂杆和绝缘子迎流面压力减小,受电弓表面及周围流场的压力波动减弱,这是由于气流撞击受电弓形成的大尺度涡旋沿纵向方向发展破碎形成更小尺度的涡旋结构,进而降低了受电弓气动噪声;尖椭圆形状的改型受电弓较原型受电弓在横向、纵向方向均有气动降噪效果,时速350和400 km条件下改型受电弓纵向方向25 m处可分别降噪5.1和2.4 dB,降幅分别为6.7%和3.0%。研究结果可为设计制造新型低噪声高速列车受电弓提供基本数据支撑。
文摘在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、偏移模式和偏移大小的情况下,探究了控制图对均值偏移的检测能力,通过比较平均运行长度等多个指标衡量控制图的性能表现.仿真结果表明,所开发的OPE-MEWMA控制图能够快速检测到均值偏移,灵敏度较高.
文摘【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定,利用多元统计法、灰色关联度分析法和DTOPSIS法3种不同的评价方法进行适应性综合评价。基于主成分计算出综合得分,灰色关联度法计算出加权关联度,DTPOSIS法计算出相对贴近度。【结果】100份樱桃番茄的主要表型性状的变异系数在17.78%~306.46%之间,大部分性状间存在显著或极显著相关性。26个表型性状综合成了10个主成分,累计贡献率达71.901%。以3种评价方法对各种质进行排名,结果既有统一性,也有差异性,共有4份材料均排在前10名,分别是T55、T83、T42和T87,表明T55、T83、T42和T87是表现优良的种质,其中T55的表现最为优异。【结论】T55是最适宜银川平原地区栽培的种质材料,可作为重要的育种基础材料;上述3种方法对樱桃番茄的评价结果略有不同,但无巨大差异,说明方法可行,有利于种质资源评价方面的研究。
