In order to truly obtain the feature extraction of vibration signals under the strong background noise, the analysis and improvement of empirical mode decomposition （EMD） is carried on. After that, the improved EMD ...In order to truly obtain the feature extraction of vibration signals under the strong background noise, the analysis and improvement of empirical mode decomposition （EMD） is carried on. After that, the improved EMD is applied to the feature extraction of vehicle vibration signals. First, the multi-autocorrelation method is adopted in each input signal,so the noise is reduced effectively. Then, EMD is used to deal with these signals,and the intrinsic mode functions （IMFs） are obtained. Finally, for obtaining the feature information of these signals, the Hilbert transformation and the spectrum analysis are performed in some IMFs. Theoretical analysis and ex- periment verify the effectiveness of the method, which are valuable reference for the same engineering problems.展开更多
A new method to extract person-independent expression feature based on higher-order singular value decomposition （HOSVD） is proposed for facial expression recognition. Based on the assumption that similar persons ha...A new method to extract person-independent expression feature based on higher-order singular value decomposition （HOSVD） is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and hence become less person-dependent. The proposed method is tested on Cohn-Kanade facial expression database and Japanese female facial expression （JAFFE） database. Person-independent experimental results show the superiority of the proposed method over the existing methods.展开更多
电控离子交换(Electrochemically switched ion exchange,ESIX)系统内对电极具有保持溶液电中性、增强提锂效果且使系统形成闭合回路的关键作用。在ESIX技术盐湖提锂过程中人们主要关注锂离子捕获电极,关于对电极的研究较少。而本文研...电控离子交换(Electrochemically switched ion exchange,ESIX)系统内对电极具有保持溶液电中性、增强提锂效果且使系统形成闭合回路的关键作用。在ESIX技术盐湖提锂过程中人们主要关注锂离子捕获电极,关于对电极的研究较少。而本文研究了不同类型对电极对ESIX系统提锂性能的影响。分别采用聚吡咯/导电炭黑/聚偏二氟乙烯(PPy/C/PVDF)、活性炭/导电炭黑/聚偏二氟乙烯(AC/C/PVDF)和石墨板电极作为ESIX系统中锰酸锂/导电炭黑/聚偏二氟乙烯(LiMn_(2)O_(4)/C/PVDF)提锂膜电极的对电极,考察了这3种ESIX系统在氯化物型高镁锂比模拟卤水(Mg/Li~50)中的提锂性能。结果表明,当PPy/C/PVDF作为对电极时可有效吸附卤水中Cl^(-),且ESIX系统提锂性能最优,Li^(+)吸附量为13.9 mg/g;当PPy/C/PVDF电极湿膜厚度增加至1 mm时,ESIX系统对Li^(+)的提取率可达44.2%,Li^(+)/Mg^(2+)分离因子可达56.82。因此,针对不同的阴离子型盐湖卤水设计匹配的对电极对ESIX技术在盐湖提锂领域的发展具有重要的理论指导意义。展开更多
基金Supported by the Scientific Research Foundation for the Imported Talents(YKJ201014)~~
文摘In order to truly obtain the feature extraction of vibration signals under the strong background noise, the analysis and improvement of empirical mode decomposition （EMD） is carried on. After that, the improved EMD is applied to the feature extraction of vehicle vibration signals. First, the multi-autocorrelation method is adopted in each input signal,so the noise is reduced effectively. Then, EMD is used to deal with these signals,and the intrinsic mode functions （IMFs） are obtained. Finally, for obtaining the feature information of these signals, the Hilbert transformation and the spectrum analysis are performed in some IMFs. Theoretical analysis and ex- periment verify the effectiveness of the method, which are valuable reference for the same engineering problems.
基金supported by National Natural Science Foundation of China (6087208460940008)+2 种基金Beijing Training Programming Foundation for the Talents (20081D1600300343)Excellent Young Scholar Research Fund of Beijing Institute of Technology (2007Y0305)Fundamental Research Foundation of Beijing Institute of Technology (20080342005)
文摘A new method to extract person-independent expression feature based on higher-order singular value decomposition （HOSVD） is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and hence become less person-dependent. The proposed method is tested on Cohn-Kanade facial expression database and Japanese female facial expression （JAFFE） database. Person-independent experimental results show the superiority of the proposed method over the existing methods.
