双坩埚三维温度梯度法蓝宝石晶体生长炉设计

在已有的三维温度梯度法(3DGF)蓝宝石晶体生长炉基础上,设计了一种双坩埚蓝宝石晶体生长炉.设计的三维温度梯度法蓝宝石晶体生长炉主要针对蓝宝石手机面板市场,将坩埚设计成长方体型,增加了材料利用率,并简化了晶体切割工艺.采用双坩埚技术,可进一步提高晶体的生产效率,节约能耗,降低成本.本设计的双坩埚3DGF蓝宝石晶体生长炉可单炉获得2个300 mm×100 mm× 100 mm的蓝宝石晶体.     

基于高光谱图像的玉米种子特征提取与识别

玉米种子的形态特征是玉米品种识别的重要因素之一.采用高光谱成像系统获取9个品种共432粒玉米种子的高光谱反射图像,对图像进行校正和预处理,提取每个样本在563.6～911.4nm共55个波段范围内的形状特征.分别利用单波段、多波段和全波段下的玉米种子形状特征结合偏最小二乘判别法进行模型分类.结果显示,全波段范围内训练集和测试集的平均正确识别率达到98.31%和93.98%,均优于多波段和单波段的正确识别率.研究表明,该方法能充分利用高光谱图像中可见光和近红外区域的有效特征信息,较准确地鉴别玉米品种,为玉米品种的自动识别领域提供了一种新方法.     

基于高光谱散射图像技术的UVE-LLE苹果粉质化分类

利用高光谱散射图像技术研究了苹果的粉质化无损检测.提出了一种无信息变量消除法和局部线性嵌入相结合的苹果粉质化分类的新方法.经无信息变量消除法筛选后的波段降为全谱的23.5%.将波段选择后的原始图像数据用局部线性嵌入降维作为偏最小二乘判别分析的输入变量并建模.无信息变量消除法与局部线性嵌入相结合算法和局部线性嵌入降维方法得到的粉质化分类测试准确度分别是79.0%和79.0%|无信息变量消除法与平均反射法相结合和平均反射法特征提取得到的是77.4%和75.8%.结果表明,无信息变量消除法与局部线性嵌入想结合的方法可以大大地降低高光谱散射图像的数据量,同时保证了分类准确度,为在线检测、分类和高光谱数据的存储提供了一种实时、有效的方法.     

不同排列下高温超导带材交流损耗的仿真计算

交流损耗的数值计算对于高温超导带材具有重要的现实意义。应用有限元软件模拟仿真超导体部分计算求出不同排列下的交流损耗,与实验结果以及Norris公式的计算结果相比较,得到的仿真结果符合较好。结果说明圆筒形的排列能够有效地减少交流损耗。     

水中总磷和总氮含量的离子色谱测定法

采用紫外光-臭氧氧化结合离子色谱法对氧化消解后的水样同时进行总磷和总氮的测定。配制Na2CO3/NaHCO3淋洗液,采用1 mL定量环,大体积直接进样。在优化工作条件下,总磷在0.05～5.00 mg/L,总氮在0.10～10.0 mg/L范围内线性良好,线性相关系数分别为0.9999和0.9998,总磷和总氮检出限为分别3.60和4.57μg/L;总磷和总氮的检测相对标准偏差(RSD)分别低于4.9%和4.1%,总磷加标回收率为95.0%～105.0%,总氮加标回收率为93.0%～103.0%。自然环境水样检测与真实值相对偏差小于4.2%。本方法选择性好,灵敏度高,精密度和准确度高,用于实际水样中总磷和总氮含量测定的结果与国标法(GB11894-89,GB11893-89)基本一致     

Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple discrete and distributed time-varying delays

In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the stability analysis for stochastic cellular neural networks with multiple discrete and distributed time varying delays. A novel linear matrix inequality (LMI) based stability criterion is derived to guarantee the asymptotic stability of stochastic cellular neural networks with multiple discrete and distributed time varying delays which are represented by T–S fuzzy models. The derived delay-dependent stability conditions are based on free-weighting matrices method, Lyapunov stability theory and LMI technique. In fact, these techniques lead to generalized and less conservative stability condition that guarantee the wide stability region. The delay-dependent stability condition is formulated, in which the restriction of the derivative of the time-varying delay is removed. Our results can be specialized to several cases including those studied extensively in the literature. Finally, numerical examples are given to demonstrate the effectiveness and conservativeness of our results.     

High speed measurement of corn seed viability using hyperspectral imaging

Corn is one of the most cultivated crops all over world as food for humans as well as animals. Optimized agronomic practices and improved technological interventions during planting, harvesting and post-harvest handling are critical to improving the quantity and quality of corn production. Seed germination and vigor are the primary determinants of high yield notwithstanding any other factors that may play during the growth period. Seed viability may be lost during storage due to unfavorable conditions e.g. moisture content and temperatures, or physical damage during mechanical processing e.g. shelling, or over heating during drying. It is therefore vital for seed companies and farmers to test and ascertain seed viability to avoid losses of any kind. This study aimed at investigating the possibility of using hyperspectral imaging (HSI) technique to discriminate viable and nonviable corn seeds. A group of corn samples were heat treated by using microwave process while a group of seeds were kept as control group (untreated). The hyperspectral images of corn seeds of both groups were captured between 400 and 2500 nm wave range. Partial least squares discriminant analysis (PLS-DA) was built for the classification of aged (heat treated) and normal (untreated) corn seeds. The model showed highest classification accuracy of 97.6% (calibration) and 95.6% (prediction) in the SWIR region of the HSI. Furthermore, the PLS-DA and binary images were capable to provide the visual information of treated and untreated corn seeds. The overall results suggest that HSI technique is accurate for classification of viable and non-viable seeds with non-destructive manner.     

结构现场可调的点激光精密测量系统

为了实现激光传感器测头可以根据现场条件来实时改变入射角度,建立了结构可调的点激光测量系统。建立了相机的针孔模型,利用张正友标定算法得到该相机模型的内部参数,定义点激光测量系统中的光心角,推导出利用像点坐标和相机内部参数实时求取光心角公式。建立了点激光测量系统的数学模型,引入点激光测量系统的结构参数:基线距和基准角,利用零平面和两个基准面标定系统结构参数。利用标定得到的系统结构参数进行实时的逆向工程在线测量。实验结果表明:测量系统量程为75mm时,该标定算法最大标定误差≤0.02mm,点激光测量系统的测量误差≤0.06mm,达到精密测量的要求。     

总磷在线检测技术的探索

水中磷的含量是水质检测中的一个重要指标,目前还没有一种准确、快速、环保、便捷的总磷在线检测技术。因此,许多科技工作者为了实现这个目标从各个技术领域展开研究,并且取得了一定的成果,推动了总磷在线检测技术的发展。结合国内外总磷检测技术中的流动注射分光光度法、离子色谱法、化学传感器、近红外光谱、电感耦合等离子体-原子发射光谱法等总磷检测技术的优缺点和发展状况,对总磷在线检测技术进行了简要的介绍和探讨。     

Improved control for distributed parameter systems with time-dependent spatial domains utilizing mobile sensor-actuator networks

A guidance policy for controller performance enhancement utilizing mobile sensor–actuator networks(MSANs) is proposed for a class of distributed parameter systems(DPSs), which are governed by diffusion partial differential equations(PDEs) with time-dependent spatial domains. Several sufficient conditions for controller performance enhancement are presented. First, the infinite dimensional operator theory is used to derive an abstract evolution equation of the systems under some rational assumptions on the operators, and a static output feedback controller is designed to control the spatial process. Then, based on Lyapunov stability arguments, guidance policies for collocated and non-collocated MSANs are provided to enhance the performance of the proposed controller, which show that the time-dependent characteristic of the spatial domains can significantly affect the design of the mobile scheme. Finally, a simulation example illustrates the effectiveness of the proposed policy.