石英/氰酸酯玻璃钢复合材料的宽频特性研究

采用四端口网络理论分析了极化方式、介电常数与损耗角正切对天线罩透波率的影响,讨论了石英/氰酸酯玻璃钢复合材料的传输特性。数值仿真和实测结果表明,在频带1.2～18 GHz,水平方位角-40°～40°范围内,厚度为1.8 mm的石英/氰酸酯平板功率传输系数均大于60%,表现出良好的宽频特性。     

Performance and Modeling of the MWIR HgCdTe Electron Avalanche Photodiode

The operation of the mid-wave infrared (MWIR) HgCdTe cylindrical electron injection avalanche photodiode (e-APD) is described. The measured gain and excess noise factor are related to the collection region fill factor. A two-dimensional diffusion model calculates the time-dependent response and steady-state pixel point spread function for cylindrical diodes, and predicts bandwidths near 1 GHz for small geometries. A 2 μm diameter spot scan system was developed for point spread function and crosstalk measurements at 80 K. An electron diffusion length of 13.4 μm was extracted from spot scan data. Bandwidth data are shown that indicate bandwidths in excess of 300 MHz for small unit cells geometries. Dark current data, at high gain levels, indicate an effective gain normalized dark density count as low as 1000 counts/μs/cm² at an APD gain of 444. A junction doping profile was determined from capacitance–voltage data. Spectral response data shows a gain-independent characteristic.     

磨煤机差压料位测量装置改进与优化

耒电#3、#4机组SVEDALA双进双出磨煤机差压料位测量装置改造后,测量准确性差、故障率高,通过分析问题、持续改进后,对取样管路和测量探针以及控制方案进行改造.改造完成后,新的测量系统测量准确,无测量管路堵塞和测量失真等现象,达到提高磨煤机运行安全性和节能降耗的目的.     

Efficient modeling and analysis of energy consumption for 3D graphics rendering

This paper proposes new models of GPU energy consumption from the perspectives of hardware architects and graphics programmers by performing an architecture-independent analysis of the classical graphics rendering pipeline which is still in widespread use today. The detailed analysis includes graphics rendering workload, memory bandwidth and energy consumption . Although the models are derived from classical 3D pipeline, they are extensible to programmable pipelines. There are many factors that affect the performance and energy consumption of 3D graphics rendering, such as the number of textures, vertex sharing, level of details, and rendering algorithms. The proposed models are validated by our simulation study and used to guide our 3D graphics hardware design and 3D graphics programming in order to optimize performance and energy consumption of our GPU prototypes which have been successfully fabricated in SMIC 0.13 μm CMOS technology.     

Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning

Kernel matrix optimization (KMO) aims at learning appropriate kernel matrices by solving a certain optimization problem rather than using empirical kernel functions. Since KMO is difficult to compute out-of-sample projections for kernel subspace learning, we propose a kernel propagation strategy (KPS) based on data distribution similar principle to effectively extract out-of-sample low-dimensional features for subspace learning with KMO. With KPS, we further present an example algorithm, i.e., kernel propagation canonical correlation analysis (KPCCA), which naturally fuses semi-supervised kernel matrix learning and canonical correlation analysis by means of kernel propagation projections. In KPCCA, the extracted correlation features of out-of-sample data not only incorporate integral data distribution information but also supervised information. Extensive experimental results have demonstrated the superior performance of our proposed method.     

A Fast and Accurate Method of Redesigning Analog Subcircuits for Technology Scaling

In this paper, we present an efficient approach for technology scaling of MOS analog circuits by using circuit optimization techniques. Our new method is based on matching equivalent circuit parameters between a previously designed circuit and the circuit undergoing redesign. This method has been applied to a MOS operational amplifier. We were able to produce a redesigned circuit with almost the same performance in under 4 h, making this method 5 times more efficient than conventional methods.     

信号分离的优化分析

对输入信号的反演问题进行了分析,并给出了反演输入信号的数学优化模型和计算方法,在存在噪声情况下仿真结果表明,该方法是可行而且是实用的。     

基于决策表的印刷电路板测试诊断过程优化

针对传统的决策树生成算法之不足,提出了两种改进算法。用实例说明改进处法具有更好的优化效果,且证明了传统算法是改进算法Ⅱ的特例。基于决策表和决策树,构造了电路板故障诊断专家系统,实现了印刷电路板测试诊断过程优化,使故障诊断的平均测试开销最小。     

重庆东环传输网的规划与建设

基于重庆东环传输网的规划及建设过程介绍，着重对设备选型和网络结构优化进行了论述。     

基于最大特征根的相对效率的下界估计

定义了广义线性模型中参数的最小二乘估计（LSE）与最佳线性无偏估计（BLUE）的一种新的相对效率,这种相对效率定义为参数估计量的协方差阵的最大相对特征根之比。给出了当设计矩阵满秩,协方差阵非负定时这种新的相对效率的下界,研究了新的相对效率与广义相关系数之间的关系,由本文的而占可见,当广义线性模型与主成分分析、典型相关分析方法结合应用时,这种相对效率具有很强的实用价值。