Simulation-based two-stage estimation for multiple nonparametric regression

To reduce the curse of dimensionality arising from nonparametric estimation procedures for multiple nonparametric regression, in this paper we suggest a simulation-based two-stage estimation. We first introduce a simulation-based method to decompose the multiple nonparametric regression into two parts. The first part can be estimated with the parametric convergence rate and the second part is small enough so that it can be approximated by orthogonal basis functions with a small trade-off parameter. Then the linear combination of the first and second step estimators results in a two-stage estimator for the multiple regression function. Our method does not need any specified structural assumption on the regression function and it is proved that the newly proposed estimation is always consistent even if the trade-off parameter is designed to be small. Thus when the common nonparametric estimator such as local linear smoothing collapses because of the curse of dimensionality, our estimator still works well.     

Rapid scalar value classification and volume clipping for?interactive 3D medical image visualization

In many clinical scenarios, medical data visualization and interaction are important to physicians for exploring inner anatomical structures and extracting meaningful diagnostic information. Real-time high-quality volume rendering, artifact-free clipping, and rapid scalar value classification are important techniques employed in this process. Unfortunately, in practice, it is still difficult to achieve an optimal balance. In this paper, we present some strategies to address this issue, which are based on the calculation of segment-based post color attenuation and dynamic ray–plane intersection (RPI) respectively. When implemented within our visualization system, the new classification algorithm can deliver real-time performance while avoiding the “color over-accumulation” artifacts suffered by the commonly used acceleration algorithms that employ pre-integrated classification. Our new strategy can achieve an optimized balance between image quality and classification speed. Next, the RPI algorithm is used with opacity adjustment technique to effectively remove the “striping” artifacts on the clipping plane caused by the nonuniform integration length. Furthermore, we present techniques for multiple transfer function (TF) based anatomical feature enhancement and “keyhole” based endoscopic inner structure view. Finally, the algorithms are evaluated subjectively by radiologists and quantitatively compared using image power spectrum analysis.     

一种13bit 40MS/s采样保持电路设计

设计了一个用于13bit40MS/s流水线ADC中的采样保持电路。该电路采用电容翻转结构,主运算放大器采用增益提高型折叠式共源共栅结构,以满足高速和高精度的要求。为减小与输入信号相关的非线性失真以获得良好的线性度,采用栅压自举开关。采用电源电压为3.3V的TSMC0.18μm工艺对电路进行设计和仿真,仿真结果表明,在40MHz的采样频率下,采用保持电路的SNDR达到84.8dB,SFDR达到92dB。     

连续侧线出料精馏分离混合氯化苯

为了得到高纯度的氯苯和二氯苯的同分异构体,本文采用连续侧线出料精馏法从氯苯和二氯苯同分异构体的混合物中分离出氯苯,并为继续分离混合二氯苯提供了基础.本文详细考察了多种因素对连续侧线出料精馏过程的影响,最终确定的最佳操作条件为:进料温度90℃,进料速率2.00ml/min,塔顶采出量0.30ml/min,塔高50 cm(H1=20cm,H2=30 cm).结果表明,在最佳条件下,塔顶氯苯纯度可以达到99.12%,塔顶氯苯得率达到88.12%,塔底二氯苯同分异构体纯度达到97.86%.本文研究结果为进一步提纯二氯苯提供了条件.     

大型煤化工甲醇精馏过程仿真系统的研究

研究构建大型煤化工甲醇精馏过程仿真平台问题.大型煤化工甲醇精馏过程操作复杂,为了能够更好地分析和预测该过程,本文开发了基于工艺过程机理模型的仿真系统.仿真系统的底层是流程模拟文件,提供过程机理模型和计算平台;顶层是仿真界面,提供人机交互窗口;二者通过Visual Basic接口程序链接.此仿真系统可以为实际的精馏操作提...     

超声波在电梯平衡系数测量中的应用

针对传统的电梯平衡系数测试中,人工检测平衡状态所带来的误差大、效率低、成本高等问题,设计了一种基于超声波的电梯平衡状态自动检测系统,该系统运行后无需人工干涉,在电梯运行过程中自动检测平衡状态,并通过无线传输检测结果,准确、稳定、高效、安全。该系统摒除了人为因素对获取平衡状态的影响,使检验手段更加科学合理。     

基于SMS远程监控系统

SMS远程监控系统利用GSM网络的SMS(手机短信业务)和低成本的硬件电路构建家居设备的远程监控。在GSM覆盖的地域里,用户可以发送短消息来控制连接到系统的家电设备的开关状态。同样,系统也可以向用户告知其工作状态。用户可以设定特殊短信来监视家中是否发生了特定事件。将GSM/GPRS MODEM主控系统与无线模块相结合,系统构建了一个一主多从的控制网络,从而实现智能化家居监控网络。     

多核处理器并行计算模型研究

针对并行计算机体系结构中没有通用的计算模型这一问题,分析了一些现有的典型计算模型,在同步性、通信方式、参数方面进行比较,以LogGP模型为基础提出一种改进的mzLogGP模型。利用MPI并行算法对满足节点计算资源非独占、网络存在拥塞条件下的并行程序进行分析与测试,通过增加memory层次化层数和网络拥塞指数这两个参数,计算其计算开销和通信开销,将实测时间与预测时间进行比较,可知随节点数的增加系统误差不断减小,说明该新模型能改善并行应用在多核处理器集群平台上运行的性能,具有较好的可扩展性。     

模糊集在目标识别上的应用

对于复杂背景下的模式识别,目标识别一直是一个较难解决的问题,本文提出在提取目标的多个特征的基础上用模糊录属度表征各个特征的生的方法来选取目标,近而成功地识别目标。文中给出了一个成功的应用实例一车牌自动识别系统。收集道口现场实验表明,在分别和字符切分正确的基础上,此模型的目标识别率为９９％。     

封闭阈下信道的若干新型签名方案

1983年,Simmons[1]提出了阈下信道的概念,并阐述了如何在一个可认证的消息中隐藏一个秘密信息。1985年和1994年,Simmons分别描述了如何利用EIGamal签名方案和DSS建立阈下信道并指出了阈下信道的若干应用[2-5],1998年笔者在参考文献[6]中建立了三个封闭阈下信道的签名方案。该文又利用有向签名、代理签名和多重签名方法建立了三个封闭阈下信道签名的新型方案。