检索结果-南通市图书馆

第二十九届中国控制会议

作者： PANG Liping1,LIU Xi1,QU Hongquan2 1 School of Aviation Science and Engineering,Beihang University,Beijing 100191,P.R.china2 College of Information Engineering,North china University of Technology,Beijing 100041,P.R.china

To determine whether there is sudden contaminant in the closed-cabin,we can judge on a basis that whether the corresponding concentration of contaminants in the cabin higher than a certain threshold ***,as noise impact of contaminants measurement instruments,it is difficult to determine accuratelywhether the sudden change of concentration is due to strong noise of monitoring instruments or caused by a sudden contaminant source,which results in the delay and inaccuracy of contaminant source identification and concentration *** order to solve this problem,a new method to detect sudden contaminant based on χ2 distribution is presented in this *** detection method could overcome the impact of sensor noise,and get the information of sudden contaminant starting time accurately,which could ensure the reliability of the contaminant concentration prediction and hazard *** results show the effectiveness of the algorithm.

关键词： Cabin Environment chi-square distribution Contaminant Detection Sudden Contaminant Source

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

A new discrete Fourier transform randomness test

引用

Science china(Information Sciences) 2019年第3期62卷 90-105页

作者： Meihui CHEN Hua CHEN Limin FAN Shaofeng ZHU Wei XI Dengguo FENG Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences University of chinese Academy of Sciences Southern Power Grid Science Research Institute

The randomness of random number generators(RNGs) is important for the reliability of cryptographic systems since the outputs of RNGs are usually utilized to construct cryptographic *** tests are employed to evaluate the randomness of the RNG outputs. The discrete Fourier transform(DFT) test is an important test item of the most popular statistical test suite NIST SP800-22. In the standard NIST DFT test and related improved studies, there exist accuracy and efficiency issues. First, the bit sequences generated by known good RNGs have a high probability to be rejected when the sequences are long or the sequence number is large, due to the deviation between the actual distribution of the test statistic values and the assumed normal distribution. Second, the long test time and high memory consumptions of the complex DFT test algorithm also affect its practicability. To solve these problems, we propose a new DFT test method for long sequences(106 or more bits). Different from the previous DFT test methods focusing on making the distribution of the test statistic values closer to the normal distribution, we reconstruct the statistic to follow the chi-square distribution. Our experiment result shows that our method has higher reliability in the two-level test, and could effectively reduce the test time and the memory *** applying our method on randomness test, the test efficiency has been increased to about 4 times for 106-bit sequences and 7 times for 107-bit sequences. In conclusion, our method has lower probability of making errors, and is more suitable for practical application scenarios.

关键词： statistical randomness test discrete Fourier transform test NIST SP800-22 two-level test chi-square distribution

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Empirical Likelihood Inference for a Partially Linear Errors-in-variables Model with Covariate Data Missing at Random

引用

Acta Mathematicae Applicatae Sinica 2016年第2期32卷 305-318页

作者： Shan-shan WANG Heng-jian CUI School of Economics and Management Beihang UniversityBeijing 100191China Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations Beijing 100191China School of Mathematical Sciences&:BCMIIS Capital Normal UniversityBeijing 100048China

The authors study the empirical likelihood method for partially linear errors-in-variables model with covariate data missing at random. Empirical likelihood ratios for the regression coeffidents and the baseline function are investigated, and the corresponding empirical log-likelihood ratios are proved to be asymptotically standard chi-squared, which can be used to construct confidence regions. The finite sample behavior of the proposed methods is evaluated by a simulation study which indicates that the proposed methods are comparable in terms of coverage probabilities and average length of confidence intervals. Finally, the Earthquake Magnitude dataset is used to illustrate our proposed method.

关键词： chi-square distribution confidence region coverage probability empirical likelihood partiallylinear model

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A High-Dimensional Test for Multivariate Analysis of Variance Under a Low-Dimensional Factor Structure

引用

Communications in Mathematics and Statistics 2022年第4期10卷 581-597页

作者： Mingxiang Cao Yanling Zhao Kai Xu Daojiang He Xudong Huang Department of Statistics Anhui Normal UniversityWuhu 241000People’s Republic of China

In this paper,the problem of high-dimensional multivariate analysis of variance is investigated under a low-dimensional factor structure which violates some vital assumptions on covariance matrix in some existing *** propose a new test and derive that the asymptotic distribution of the test statistic is a weighted distribution of chi-squares of 1 degree of freedom under the null hypothesis and mild *** provide numerical studies on both sizes and powers to illustrate performance of the proposed test.

关键词： High-dimensional data MANOVA Low-dimensional factor structure chi-square distribution

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Classification Algorithm Optimization Based on Triple-GAN

引用

Journal on Artificial Intelligence 2020年第1期2卷 1-15页

作者： Kun Fang Jianquan Ouyang Key Laboratory of Intelligent Computing&Information Processing Ministry of EducationXiangtan UniversityXiangtanChina Hunan Meteorological Information Center Hunan Meteorological BureauChangshaChina

Generating an Adversarial network(GAN)has shown great development prospects in image generation and semi-supervised learning and has evolved into ***,there are still two problems that need to be solved in Triple-GAN:based on the KL divergence distribution structure,gradients are easy to disappear and training instability *** Triple-GAN tags the samples manually,the manual marking workload is too *** uneven and so *** article builds on this improved Triple-GAN model(Improved Triple-GAN),which uses Random Forests to classify real samples,automate tagging of leaf nodes,and use Least squares Generative Adversarial Networks(LSGAN)ideological structure loss function to avoid gradients *** were performed on the Improved Triple-GAN model and the Triple-GAN model using the MINIST,cifar10 and cifar100 datasets respectively,experiments show that the error rate of generated samples is greatly *** the same time,the classification effect of the data set and the sharpness of the samples are greatly *** it has greatly improved the stability of model training and automation of labels.

关键词： Triple-GAN random forests improved triple-GAN chi-square distribution

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：