全IP网络中的分层移动管理结构

该文首先简要介绍目前IP网上的移动管理方案MobileIP,然后重点分析讨论对MobileIP进行的改进和扩展,最后提出一种基于MobileIP的适于未来全IP网络的分层移动管理结构。     

粉煤灰和木钙双掺用于胶结充填的正交组合试验

通过粉煤灰和木钙双掺用于尾砂胶结充填的交组合试验，提示了双掺的作用机理，建立了试验指标的二次回归程，得出了双掺时粉煤灰和木钙的最佳掺量。     

MPT-AES定性分析及应用

本文首先讨论了36种元素标准样用MPT-AES定性分析时的行为与定性方法。进而将36种元素定性分析划分为几个波段(nm):190～290、303～380、393～456、588～590、670～671、766～767。之后对粉煤灰进行了定性分析,定性分析14种元素。该机定性分析非常适用于简单体系,也可用于复杂体系中的主要元素定性工作或指定几种元素的定性分析。     

Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

Background

Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.

Method

To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.

Results

The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92 ± 0.54 mm, and the compensation accuracy is 74.3 ± 5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value = .003) although these landmarks had larger initial displacements.

Conclusions

The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.     

多元混沌时间序列的因子回声状态网络预测模型

针对采用回声状态网络预测多元混沌时间序列时存在的病态解问题, 本文建立了因子回声状态网络模型, 通过因子分析(Factor analysis, FA)方法提取高维储备池状态矩阵的公因子, 去除冗余和噪声成分. 利用降维后的因子变量与期望输出之间的线性回归关系, 求解网络未知参数. 基于Lorenz序列和大连月平均气温--降雨量的仿真实验验证了本文所提模型的有效性.     

基于Linux平台PCI设备驱动程序设计

首先从FA卡的基本概念及其特点入手,并分析了PCI总线的基本工作原理,最后完成了一个以FA卡为对象设备的简单驱动程序的编写和调试工作。     

有穷自动机理论在自动化控制方面的应用

有穷自动机是一种关于系统状态变迁与时间关系的数学模型,20世纪40年代和50年代分别由McCulloch、Pitts和Moore等建立了自动机模型,经过半世纪多的发展,它已经成为一门完善的离散数学理论分支,广泛应用于形式语言、数字电路、计算机编译程序和操作系统等各个方面。自动机分为确定性(DFA)和非确定性两种(NFA),NFA可通过闭包算法转变为DFA,本文将探讨DFA在自动化控制方面的应用。     

浅析配电网馈线自动化智能监控模式

阐述了FA概念。具体介绍了目前在我国配电网自动化中采用的四种智能馈线自动化模式,并通过对实现方法、控制原理、应用效果等方面的分析讨论,总结出了这四种模式各自的控制特点。对四种智能馈线自动化模式中所采用的通信系统分通讯主干网和通讯规约两方面进行了详尽剖析。最后提出了实现配电网馈线自动化智能监控模式要解决的几个关键技术问题。     

Dendrimer as nanocarrier for drug delivery

Dendrimers are novel three dimensional, hyperbranched globular nanopolymeric architectures. Attractive features like nanoscopic size, narrow polydispersity index, excellent control over molecular structure, availability of multiple functional groups at the periphery and cavities in the interior distinguish them amongst the available polymers. Applications of dendrimers in a large variety of fields have been explored. Drug delivery scientists are especially enthusiastic about possible utility of dendrimers as drug delivery tool. Terminal functionalities provide a platform for conjugation of the drug and targeting moieties. In addition, these peripheral functional groups can be employed to tailor-make the properties of dendrimers, enhancing their versatility. The present review highlights the contribution of dendrimers in the field of nanotechnology with intent to aid the researchers in exploring dendrimers in the field of drug delivery.