矫直状态下钢管弹塑性变形区的研究

根据钢管矫直时的变形规律，通过对矫直中钢管的力学状态及矫直前后的状态参数分析，建立了一种适于现场应用的确定钢管弹、塑性变形区的新方法。     

InGaAsP／InP PFBH激光器

采用Ｎ－ＩｎＰ衬底研制ＩｎＧａＡｓＰ／ＩｎＰ激光器和ＤＦＢ激光器在国内已报导过多次，本文介绍用Ｐ－ＩｎＰ衬底研制ＩｎＧａＡｓＰ／ＩｎＰ平面埋层异质结构激光器和ＤＦＢ－ＰＦＢＨ激光器，同时利用晶体生长和晶向的依赖关系，改进埋区的结构，使器件最高激射温度大于１００℃。     

α－Al_2O_3衬底上生长的GaN膜的光学性质

采用金属有机化学气相淀积（ＭＯＣＶＤ）方法生长了α－Ａｌ２Ｏ３衬底上外延的高质量的单晶ＧａＮ薄膜。Ｘ射线衍射光谱与喇曼散射光谱表征了ＧａＮ外延薄膜的单晶结构和单晶质量。透射光谱和光调制反射光谱定出了六角单晶ＧａＮ薄膜的直接带隙宽度和光学参数。     

Improvement of device performances by thin interlayer in conjugated polymers/methanofullerene plastic solar cell

Recent studies have reported that a thin interlayer between poly(3, 4-ethylene dioxythiophene)-poly(styrene sulfonic acid) (PEDOT: PSS) and an emissive polymer layer leads to a large increase in the performances of polymer light-emitting diodes (PLEDs) by preventing significant quenching of the radiative excitons at the PEDOT: PSS interface; therefore, acting as an efficient exciton-blocking layer. Using the similar idea, a thin interlayer was fabricated between PEDOT: PSS and the active layer of conjugated polymers/methanofullerene composites in a plastic solar cell. The interlayer consisted of a poly(fluorene)-based hole transporter spin-coated directly on top of the PEDOT: PSS layer. The devices with the interlayer exhibited a higher efficiency than in those without the interlayer.     

Efficient design of SIW filters with knowledge‐embedded space mapping technique

This article presents an optimization technique for the design of substrate‐integrated waveguide (SIW) filters using knowledge‐embedded space mapping. An effective coarse model is proposed to represent the SIW filter. The proposed coarse model can be analyzed in the available commercial software ADS. The embedded knowledge includes not only formulas but also extracted design curves, which help to build the mapping between the coarse and fine models. The effectiveness of the proposed method is demonstrated through a design example of a six‐pole SIW filter. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.     

不同基质配比对银毛野牡丹扦插的影响

银毛野牡丹是优良的园林观赏性植物,但是繁殖有性结实率低。通过为期30天的扦插试验,对比不同基质（原土、草炭土、蛭石、珍珠岩）配比对银毛野牡丹插穗生长的影响,分析插穗生根时间、生根数目、最长根长、生根率、生长状态以及基质变化,找出适合其生长发育的优良基质,为银毛野牡丹的繁殖提供技术支撑。研究表明：试验组T8（原土：细沙：草炭土：蛭石：珍珠岩=1：1：2：1：1）的插穗生根率、最长根长、插穗长势为最佳,试验组T2（草炭土）效果次之,在条件有限的情况下可以作为备用方案以供生产所需。     

CoCrPtNb／CrTi／C多层膜记录介质的制备和性能研究

采用CoCrPtNb四元合金作磁记录介质，并采用多层膜结构（CoCrPt）100-Nbx/CrTi／C／Glass制备玻璃盘基硬盘。实验结果表明：采用适宜厚度的籽晶层与合适组分的底层和磁性层的多层膜结构，即使在室温下溅射，此种薄膜磁记录介质也可得到高达260kA／m的矫顽力；在550℃高温下，经过30min真空退火后，其矫顽力有较大幅度提高，并在Nb含量为2．4％（原子分数）时达到极大值386kA／m，适用于高密度磁记录。同时，也详细分析了磁性层和底层组分、籽晶层厚度以及真空退火对磁记录介质磁性能和微结构的影响。     

PKA国家参考品的制备

本文应用 PKA 微量滴定板方法,用 WHO1984年建立的 PKA 国际标准品进行标定,制备了我国第一批 PKA 国家参考品。     

Particle-Substrate Collisions, Particle Rebound and Removal

Recent progress in particle capture and rebound and its effect on the adhesion force is reviewed in this paper. Particles rebound when the incident velocity is greater than a characteristic critical velocity. Lower impaction velocity particles experience elastic and plastic deformation. Recent models for particle rebound and capture are discussed and evaluated in terms of their restrictive assumptions and results. Recent experimental data of particle rebound and capture is also discussed, as is the hydrodynamic removal of captured particles. The removal of particles occurs when the applied hydrodynamic removal force overcomes the adhesion force. The effect of adhesion-induced deformation on the removal of particles is introduced and discussed.     

Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing

This study addresses classification methodology for the automatic inspection of a range of defects on the surface of glass substrates in thin film transistor liquid crystal display glass substrate manufacturing. The proposed methodology consisted of four stages: (1) feature extraction by calculating the wavelet co-occurrence signature from the substrate images, (2) handling of imbalanced dataset using the Synthetic Minority Over-sampling TEchnique (SMOTE), (3) reduction of the feature's dimension by principal component analysis, and (4) finally choosing the best classifier between three different methods: Classification And Regression Tree (CART), Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM). In training the SVM and MLP classifiers, the simulated annealing algorithm was used to obtain the optimal tuning parameters for the classifiers. From the industrial case study, the proposed feature extraction algorithm could remove the defect-irrelevant image features and SMOTE increased the accuracy of all three methods. Furthermore, the optimized SVM and MLP models were more accurate than the CART model whereas a higher accuracy of 89.5% was observed for the proposed SVM model.