The performance of foliage mass and crown radius models in forming the input of a forest reflectance model: A test on forest growth sample plots and Landsat 7 ETM+ images

Several published foliage mass and crown radius regression models were tested on the preparation of the input for the reflectance model of Kuusk and Nilson [Kuusk, A. and Nilson, T. (2000), A directional multispectral forest reflectance model. Remote Sensing of Environment, 72(2):244–252.] for 246 forest growth sample plots in Estonia. In each test, foliage mass and crown radius for trees in the sample plots were predicted with a particular pair of allometric regression models. The forest reflectance model was then run using the estimated foliage mass and crown radius values. Reflectance factors were simulated and compared with the reflectance values obtained from three atmospherically corrected Landsat 7 Enhanced Thematic Mapper (ETM+) scenes. The statistics of linear regression between the simulated and measured reflectance factors were used to assess the performance of foliage and crown radius models. The hypothesis was that the best allometric regression models should provide the best fit in reflectance. The strongest correlation between the simulated and measured reflectance factors was found in the short-wave infrared band (ETM + 5) for all the images. The highest R² = 0.71 was observed in Picea abies dominated stands. No excellent combination of foliage mass and crown radius functions was found, but the ranking based on determination coefficients showed that some linear crown radius models are not applicable to our data. Processing of raster images, reflectance measurement for small sample plots, usage of tree-species-specific fixed parameters (specific leaf area, etc.), and the ignored influence of phenology introduced additional variation into the relationships between simulated and measured reflectance factors. Further studies are needed, but these preliminary results demonstrate that the proposed method could serve as an effective way of testing the performance of foliage mass and canopy cover regressions.     

西门子S7-200可编程控制器在气化油点火技术中的应用

以西门子S7—200PLC为核心。利用火检探头。温度、压力等传感器，结合STEP 7 MicmwIN V3．1以及ProTool Pro CS工业组态软件完成了对点火过程的自动控制。实现了西门子S7—200PLC在大型发电厂410吨级蒸汽锅炉“气化油直接点燃煤粉技术”中的应用。提高了锅炉点火系统运行的自动化水平。     

柴达木盆地北缘侏罗系烃源岩干酪根13C核磁共振研究

柴达木盆地北缘是柴达木盆地三大油气区之一,其源岩为早、中侏罗世煤系地层.烃源岩有机质类型以Ⅲ₁型和Ⅱ型干酪根为主,Ⅰ₂型干酪根仅在局部地区有分布.通过对柴达木盆地北缘侏罗系烃源岩中不同类型干酪根的¹³C核磁共振研究,指出了研究区Ⅰ₂、Ⅱ、Ⅲ₁型干酪根的化学结构特征以及化学结构中“芳构碳”、“油潜力碳”与“气潜力碳”的相对含量,据此从定量分析的角度对不同类型干酪根的生油气贡献作了评价.Ⅰ₂、Ⅱ、Ⅲ₁型干酪根的生烃能力依次减弱,对生油的贡献也依次减弱,且生成油气的比例不同,Ⅰ₂、Ⅱ型干酪根以生油为主,Ⅲ₁型干酪根则以生气为主.     

Divide and Congruence Applied to η-Bisimulation

We present congruence formats for η- and rooted η-bisimulation equivalence. These formats are derived using a method for decomposing modal formulas in process algebra. To decide whether a process algebra term satisfies a modal formula, one can check whether its subterms satisfy formulas that are obtained by decomposing the original formula. The decomposition uses the structural operational semantics that underlies the process algebra.     

基于LPC2131微控制器的电荷放大器设计

介绍了一种基于ARM的智能电荷放大器的设计方法及工作原理。详细阐述基于LPC2131芯片的软、硬件设计方案。该系统主要由电荷变换电路、低通抗混滤波电路、LCD液晶显示模块和LPC2131控制部分组成。软件部分主要对电荷放大器处理过程进行程控设计,给出了继电器控制、I2C数控电位器控制以及产生抗混滤波器截止频率的程序设计方法。操作系统选用源码公开的实时操作系统μC/OSⅡ,增强了系统工作的可靠性。     

面向对象方法在7号信令软件设计中的应用

随着交换技术的飞速发展，程控交换软件的规模越来越大，改动也越来越频繁，如何使代码对数据的改动具有相对的稳定性成为程控软件设计的一个首要问题。本文以ＣＣＳ７（７号公共信道信令）为例，从对象模型、动态模型、功能模型３个方面阐述了ＯＯ（面向对象）方法在ＣＣＳ７软件设计中的应用。这一方法，也可应用于程控软件的设计。     

基于光纤通信技术的数据单向传输设备研究

基于光纤通信技术的数据单向传输设备通过光电单向转换的物理原理,实现了真正意义上的单向传输,将失泄密隐患降低至零。该篇文章通过对单向传输设备的技术研究,详细剖析了软硬件实现的技术细节。通过实测数据证明了设备的高效性、实用性和可靠性。     

中国民族乐器的特征值提取和分类

文章处理的是中国民族乐器的识别分类问题.提出了一种基于合适的音频特征值选择方法,该方法在基于MPEG_7标准的声学特征,在特征值的时间特性上进行改造,并加入改进后的特征值.从提取的音频特征值数据集选择K-最近邻算法.特别是对没有加入新特征值和加入新特征值后生成分类器模型的性能进行了比较.实验结果证明新特征值的加入提高了分类器的F1度量值.     

UniMAT PLC在塑料挤出机控制系统中的应用

针对塑料挤出机控制系统成本高、速度低、精度低的问题,提出采用UniMATPLC控制方式,实践证明效果良好。     

S7-200在KYS-1500/50型打捆机中的应用

采用西门子S7-200系列PLC设计电气控制系统,成功实现打捆机系统的自动控制,满足了生产的工艺要求。