Silicon waveguide-based single cavity Fano resonance temperature sensor

A compact Fano resonant temperature sensor composed of a micro-ring resonator (MRR) coupled double-T-shaped waveguide is developed. The coupling gap and coefficient of the device are optimized by the finite difference time domain (FDTD) method. The maximum slope ratio (SR) of the MRR-coupled single-T-shaped waveguide is ?2.13 dB/nm. The SR of the double-T-shaped waveguide is ?49.69 dB/nm which is 23 times that of the single-T-shaped waveguide. The simulation results show that the temperature sensitivity of optical intensity decreases with increasing temperature in the range from 303.6 K to 343.8 K. The wavelength-temperature sensitivity of the double-T-shaped waveguide microring is 76.5 pm/K. After introducing the double-T-shaped waveguide structure, the device''s performance is greatly improved, and the double-T-shaped waveguide has a good application prospect as a temperature sensor.     

基于Proteus和组态王的温度测控系统联合仿真

数据测控系统通常由下位机和上位机组成.为实现下位机和上位机协同设计,提高设计效率,本文采用Proteus和组态王联合仿真的方法,并以温度测控系统为实例,阐述了实现下位机和上位机联合仿真的具体过程.实验结果验证了本方法的可行性.     

Exemplar-Based Clustering Analysis Optimized by Genetic Algorithm

Exemplar-based clustering algorithm is very efficient to handle large scale and high dimensional data, while it does not require the user to specify many pa- rameters. For current algorithms, however, are the inabil- ities to identify the optimal results or specify the number of clusters automatically. To remedy these, in this work, we propose and explore the idea of exemplar-based cluster- ing analysis optimized by genetic algorithms, abbreviated as ECGA framework, which use genetic algorithms for op- timizing and combining the results. First, an exemplar- based clustering framework based on canonical genetic al- gorithm is introduced. Then the framework is optimized with three new genetic operators： （1） Geometry operator which limits the typology distribution of exemplars based on pair-wise distances, （2） EM operator which apply EM （Expectation maximization） algorithm to generate children from previous population and （3） Vertex substitution op- erator which is initialized with genetic algorithm and se- lect exemplars by using the variable neighborhood search meta-heuristic framework. Theoretical analysis proves the ECGA can achieve better chance to find the optimal clus- tering results. Experimental results on several synthetic and real data sets show our ECGA provide comparable or better results at the cost of slightly longer CPU time.     

利用动态密勒补偿电路解决LDO的稳定性问题

针对LDO稳压器的稳定性问题,设计了一种新颖的动态密勒补偿电路。与传统方法相比,该电路具有恒定的带宽,大大提高了系统的瞬态响应性能;同时将开环增益提高了30 dB左右,使LDO稳压器具有较高的电压调整率和负载调整率。通过具体投片,验证了该方法的正确性和可行性。     

一种低静态功耗的CMOS集成稳压器的实现

提出了一种静态功耗很低的CMOS集成稳压器的实现方法，详细分析了他的工作原理，并给出了具体电路、仿真波形以及分析数据。     

基于CPLD的空调控制系统

空调控制系统是智能建筑楼宇自动控制的一个重要组成部分.因此,空调控制系统的设计是整个楼宇自控系统设计的重点之一,也是节电节能的重点.利用VHDL语言描述系统功能,并在Max+PlusⅡ集成开发环境下进行综合、仿真,并下载到CPLD中,以实现控制功能.该控制系统可根据室温的变化控制空调制冷或制热,具有结构简单,性能稳定,实现方便,成本低的优点.     

基于格拉布斯准则和改进粒子滤波算法的水下传感网目标跟踪

水下无线传感网络(UWSN)执行目标跟踪时,因为各个传感器节点测量值对目标状态估计的贡献不一样以及节点能量有限,所以探索一种好的节点融合权重方法和节点规划机制能够获得更好的跟踪性能。针对上述问题,该文提出一种基于Grubbs准则和互信息熵加权融合的分布式粒子滤波(PF)目标跟踪算法(GMIEW)。首先利用Grubbs准则对传感器节点所获得的信息进行分析检验,去除干扰信息和错误信息。其次,在粒子滤波的重要性权值计算的过程中,引入动态加权因子,采用传感器节点的测量值与目标状态之间的互信息熵,来反映传感器节点提供的目标信息量,从而获得各个节点相应的加权因子。最后,采用3维场景下的簇-树型网络拓扑结构,跟踪监测区域内的目标。实验结果显示,该算法可有效提高水下传感器网络测量数据对目标跟踪预测的准确度,降低跟踪误差。     

子宫颈神经内分泌小细胞癌胎盘转移的电镜观察

目的：观察子宫颈神经内分泌小细胞癌合并妊娠的胎盘超微结构.方法：利用透射电镜观察一例子宫颈神经内分泌小细胞癌合并妊娠的癌组织及胎盘超微结构.结果：在胎盘的合体滋养层内及绒毛间质均可见到癌细胞,有些癌细胞的胞质尚可见电子致密的神经内分泌颗粒.结论：电镜检查有助于证实宫颈神经内分泌小细胞癌的胎盘转移.     

不同固体表面下激光多普勒测速的数值模拟

激光多普勒测速仪(LDV)的测量精度和应用受到光电探测器、环境状况、频谱加宽和信号处理等因素影响。本文根据条纹模型和散射机理建立了固体LDV的数学模型,并通过数值模拟详细分析了固体表面特性和测量精度之间的关系,实验结果和数值模拟结果符合得很好。LDV能够精确地测量出固体表面运动速度,但要求被测固体的表面粗糙度在一定范围内,而且这个范围由条纹间距和有效探测体宽度决定。     

字长可重构流水线CORDIC设计

设计了一种数据字长可重构的流水线坐标旋转数字计算(Coord inate R otation D ig ita l Com pu ting,CORD IC)单元,用于可重构DSP阵列式处理引擎的处理单元核心的设计。首先对流水线CORD IC的模校正进行改造,使流水级数有所减少,且使模校正流水的分配有利于字长可重构的设计。之后通过相邻8位流水线CORD IC单元间的横向和纵向可重构设计,使相邻的(2×2)/(3×3)/(4×4)个基本单元可以组合成数据字长为16/24/32位的CORD IC单元。