An effective bilayer cathode buffer for highly efficient small molecule organic solar cells

Novel organic/ultrathin low work function metal bilayer cathode buffers for small molecule organic solar cells are proposed. Ultrathin low work function metal layers possess a high built-in electric field for effective carrier extraction and a high cathode reflectivity for maximum absorption in the photoactive layers. This leads to a significant increase of short circuit current density and fill factor of cells. By integrating this bilayer cathode buffer with DTDCTB:C₆₀ small molecular heterojunction, the device exhibits a high power conversion efficiency of up to 5.28%, which is an improvement of 22% compared to a device with a traditional single organic layer buffer.     

嵌入式操作系统PPSM在卫星定位系统终端机中的应用

通过对嵌入式多任务操作系统PPSM主要特点的分析,说明了北斗卫星定位用户终端接收机利用PPSM操作系统在Motorola“龙珠”芯片上实现任务处理的应用。具体研究了PPSM操作系统利用中断、任务跳转和数据库实现任务处理的方法,详细阐述了系统任务、数据库的创建及实现     

Electronic structures and optical properties for Ag-N-codoped ZnO nanotubes

The structural and electronic/optical properties of pure and Ag-N-codoped (8,0) ZnO nanotubes have been studied using first-principles calculations in the framework of the local spin density approximation. The configurations for Zn atoms replaced by Ag atoms are p-type semiconductor materials, and the bandgap increases when N atoms are doped into ZnO nanotube configurations. The optical studies based on dielectric function and reflectivity indicate that new transition peaks in the visible light range are observed, which can be ascribed to the Ag and N doping. Furthermore, there is a red shift observed with the increase of N concentration.     

Diesel Engine Valve Clearance Fault Diagnosis Based on Features Extraction Techniques and FastICA-SVM

Numerous vibration-based techniques are rarely used in diesel engines fault diagnosis in a direct way, due to the surface vibration signals of diesel engines with the complex non-stationary and nonlinear time-varying features. To investigate the fault diagnosis of diesel engines,fractal correlation dimension, wavelet energy and entropy as features reflecting the diesel engine fault fractal and energy characteristics are extracted from the decomposed signals through analyzing vibration acceleration signals derived from the cylinder head in seven different states of valve train. An intelligent fault detector FastICA-SVM is applied for diesel engine fault diagnosis and classification.The results demonstrate that FastICA-SVM achieves higher classification accuracy and makes better generalization performance in small samples recognition. Besides,the fractal correlation dimension and wavelet energy and entropy as the special features of diesel engine vibration signal are considered as input vectors of classifier Fast ICASVM and could produce the excellent classification results.The proposed methodology improves the accuracy of feature extraction and the fault diagnosis of diesel engines.     

宫庭粟米茶羹制作工艺

宫庭粟米茶羹制作工艺刘长文河北承德市卫生防疫站０６７０００１原料配方小米６５％、栗子２０％、绿豆］２％、芝麻２．５％、核桃仁０．３％、秋子仁０,］％、南瓜籽仁０·０５％、花生米０．］％,白糖或红糖、青丝、玫瑰适量。ＺＨ艺流程选料一去皮和杂质一淘洗～蒸...     

ICP-OES法测定碱式碳酸钴中镍、铜、铁、钠、锌、钙

用电感耦合等离子体发射光谱法（ICP-OES）测定碱式碳酸钴中镍、铜、铁、钠、锌、钙等杂质的含量,并对测定条件及工作参数做了研究,采用标准加入法消除基体效应的影响,通过选择适宜的分析谱线以消除光谱的干扰。与原子吸收分光光度计法（AAS）相比,ICP-OES法的分析速度快、精密度高。     

Chemical Fingerprint Analysis for the Quality Evaluation of Deepure Instant Pu-erh Tea by HPLC Combined with Chemometrics

A simple and efficient fingerprint analysis method was developed and validated for the quality consistency control and authentication of Deepure instant pu-erh tea within different manufacturers using high-performance liquid chromatography (HPLC) coupled with chemometrics. To compare the HPLC fingerprint chromatograms between batches, varieties and manufacturers, the correlation coefficients of similarities of 60 samples and the relative peak areas of 11 characteristic compounds were calculated. Different pattern recognition procedures, including hierarchical cluster analysis, principal component analysis and partial least squares discriminant analysis, were then applied to classify the instant pu-erh tea samples according to their variety and manufacturer. Results showed that the developed method has potential application for the quality consistency evaluation and discrimination of instant pu-erh tea samples from similar products.     

长宁区块目标法优化钻井技术

长宁区块页岩气勘探开发是国家“十二五”规划的重点项目,长宁Ｈ３平台是中国第一个页岩气平台
井。在页岩气钻井中,由于每口井、每个平台投资巨大,因此总结出合理高效的提速方法尤为重要。通过分析该平
台每口井的钻井参数并加以研究,从中总结出一套合理的钻井参数以减少钻井作业中起下钻趟数,提高行程钻速
的数学模型,从而最终达到用理论来指导实践,帮助长宁区块页岩气钻井平台减少投入,增加产出的目的。     

玉米杏仁茶加工技术研究

玉米杏仁茶加工技术研究刘长文承德地区卫生防疫站０６７０００玉米是我国北方的主要农产品之一,年产量约在几千亿吨以上。玉米营养丰富,据中国预防医学科学院营养与食品卫生研究所测定（１９７）,５００ｒ玉米中含有碳水化合物７２．２～３６１．０ｇ;粗纤维１．３～...     

Higher Order Cepstral Moment Normalization for Improved Robust Speech Recognition

Cepstral normalization has widely been used as a powerful approach to produce robust features for speech recognition. Good examples of this approach include cepstral mean subtraction, and cepstral mean and variance normalization, in which either the first or both the first and the second moments of the Mel-frequency cepstral coefficients (MFCCs) are normalized. In this paper, we propose the family of higher order cepstral moment normalization, in which the MFCC parameters are normalized with respect to a few moments of orders higher than 1 or 2. The basic idea is that the higher order moments are more dominated by samples with larger values, which are very likely the primary sources of the asymmetry and abnormal flatness or tail size of the parameter distributions. Normalization with respect to these moments therefore puts more emphasis on these signal components and constrains the distributions to be more symmetric with more reasonable flatness and tail size. The fundamental principles behind this approach are also analyzed and discussed based on the statistical properties of the distributions of the MFCC parameters. Experimental results based on the AURORA 2, AURORA 3, AURORA 4, and Resource Management (RM) testing environments show that with the proposed approach, recognition accuracy can be significantly and consistently improved for all types of noise and all SNR conditions.