提高空冷机组经济性的研究

通过对大同第二发电厂两台２００ＭＷ空冷机组的经济性分析,以及对煤耗影响进行的详细计算,从大同地区的实际气象条件出发,对怎样提高空冷机组的经济性提出了 和分析计算方法,对可能挖潜的降耗措施进行了分析。     

设计余弦调制QMF组的一种新方法

通过适当矩阵变换，本文首先将精确重建余弦调制正交镜像滤波器组的设计转化为一种带约束的非线性优化问题，它是一种带二次型约束的最小二乘（ＱＣＬＳ）优化问题，然后，我们提出了一种变参量的罚函数方法来有效求解该类ＱＣＬＳ优化问题，通过直接采用原型滤波器系数为优化变量，我们构造了一个特殊的凸函数作优化代价函数，故可获得该问题的全局最小点，最后，采用本文提出的设计方法进行了一个具体实例设计，结果表明我们的方法     

脉冲MOS结构少子产生寿命的统一表征

本文提出了一种采用脉冲ＭＯＳ结构测量少子产生寿命的统一表征谱方法，此方法基于任何一种收敛弛豫过程均可以转换成一种衰减的指数函数的思想，应用关以样原理获得脉冲ＭＯＳ结构瞬态电容差值谱，从谱图中我们可以直接得到关于少子产生寿命信息。本文综合了众多脉冲ＭＯＳ结构测量少子产生寿命的物理模型，分析了不同模型之间的精细差别。     

二能级原子系统的瞬态共振荧光

本文研究了有无规力作用下能级原子算符间的对易关系以及有无规力作用下原子系统满是的Bloch方程的解,并具体应用于二能级原子系统瞬态共振荧光的计算。     

A W-band monolithic downconverter

The design, fabrication, and evaluation of a fully integrated W-band monolithic downconverter based on InGaAs pseudomorphic HEMT technology are presented. The monolithic downconverter consists of a two-stage low-noise amplifier and a single-balanced mixer. The single-balanced mixer has been designed using the HEMT gate Schottky diodes inherent to the process. Measured results of the complete downconverter show conversion gain of 5.5 dB and a double-sideband noise figure of 6.7 dB at 94 GHz. Also presented is the downconverter performance characterized over the -35°C to +65°C temperature range. The downconverter design was a first pass success and has a high circuit yield     

Synthesis of artificial neural networks by transconductors only

Hardware implementation of artificial neural networks has been attracting great attention recently. In this work, the analog VLSI implementation of artificial neural networks by using only transconductors is presented. The signal flow graph approach is used in synthesis. The neural flow graph is defined. Synthesis of various neural network configurations by means of neural flow graph is described. The approach presented in this work is technology independent. This approach can be applied to new neural network topologies to be proposed or used with transconductors designed in future technologies.     

Broad-area InAs/GaAs quantum dot lasers incorporating intermixed passive waveguide

InAs/GaAs quantum dot lasers incorporating passive waveguide created by post-growth intermixing processing have been studied. Emission wavelength of the passive section shows relative blueshift as high as 135 nm with respect to the emission wavelength of the active section. Intrinsic losses in the section formed by the intermixing are very small. Broad-area lasers with 100 mum stripe width incorporating intermixed section have demonstrated improvements in far-field pattern under both pulsed and continuous wave pumping current     

Copper bonded layers analysis and effects of copper surface conditions on bonding quality for three-dimensional integration

In order to achieve copper wafer bonding with good quality, surface conditions of copper films are important factors. In this work, the effects of surface conditions, such as surface roughness and oxide formation on the bond strength, were investigated under different bonding conditions. Prior to bonding, copper film surfaces were kept in the atmosphere for less than 1 min, 3 days, and 7 days, respectively, to form different thicknesses of oxide on the surface. Some copper wafers were cleaned using HCl before bonding in order to remove the surface oxide. Surface roughness of copper films with and without HCl cleaning was examined. Since surface cleaning before bonding removes oxides but creates surface roughness, it is important to study the corresponding bond strength under different bonding conditions. These results offer the required information for the process design of copper wafer bonding in three-dimensional integration applications.     

电涡流式钞票厚度检测传感器设计

在ATM机和纸币清分机中,钞票的厚度检测是必须的功能,通过钞票的厚度特征可以识别钞票上粘贴的胶带和折角等,从而剔除不合格钞票。本文论述了一种电涡流式钞票厚度检测传感器,采用并列的结构相同的多路厚度传感器,通过每路独立的厚度传感器检测出来的信号,拼接成整张钞票的厚度特征,从而识别钞票是否有异常。本传感器具有电路简单、成本低、检测范围大等优点。     

Real-time parallel adaptive neural network control for nonlinear servomechanisms—an approach using direct adaptive techniques

In this paper, a parallel adaptive neural network control system applicable to nonlinear dynamical systems of the type commonly encountered in many practical position control servomechanisms is developed. The controller is based on the use of direct adaptive techniques and an approach of using an additional parallel neural network to provide adaptive enhancements to a basic fixed neural network-based nonlinear controller. Properties of the proposed new controller are discussed in the paper and it is shown that if Gaussian radial basis function networks are used for the additional parallel neural network, uniformly stable adaptation is assured and asymptotic tracking of the position reference signal is achieved. The effectiveness of the proposed adaptive neural network control system is demonstrated in real-time implementation experiments for position control in a servomechanism with asymmetrical loading and changes in the load.