事件驱动型无线传感器网络MAC协议研究

提出一种应用于事件驱动型无线传感器网络的ED-MAC协议。该协议定义了网络的2种状态(常规态和事件态),为常规态的簇内数据采集和簇头汇报设计了不同的TDMA机制,事件态时采用预约机制对中继转发链路节点进行逐跳预约。实验结果表明:ED-MAC协议相比S-MAC协议具有能耗低、传输延时短的特点。     

时滞系统方法的网络控制系统的研究

针对普遍存在的采样器和零阶保持器异步这一现象,研究了该类网络控制系统的状态反馈控制问题。首先,以事件驱动的零阶保持器的更新时刻为时间标识,并考虑到网络的诱导时延和数据丢包,建立网络控制系统的采样闭环模型,并转化为状态中连缀着两个时滞变量的时滞系统。然后,利用相应的时滞系统方法,对闭环网络控制系统进行了稳定性分析和控制器综合。最后,通过仿真实例验证了所得结果的正确性。     

一种用于单摄像机视觉传感技术的新模型

提出了一种用于单摄像机视觉传感测量技术的新模型,该模型采用参数法可直接求解视觉传感测量过程中控制点的三维坐标,进而求出被测点的三维坐标.文中简要介绍了利用单摄像机测量目标三维坐标的工作原理与系统结构,给出了求解新模型的详细计算过程,并通过大量的实验来验证了新模型的正确性与有效性.     

单搭接接头温度场与热应力分布的研究

为了对胶接接头承受热载荷时的温度场和热应力分布进行数值模拟,利用有限元法对单搭接接头的被粘物外表而承受不同温度、速度气流时的温度分布情况进行了分析.在考虑接头变形为几何非线性的前提下,研究了约束方式、胶层厚度及搭接长度对接头热应力分布的不同影响.结果表明,峰值热应力出现在搭接区边缘;当约束方式使胶层发生较大转动时,胶层处于高应力水平;随胶层厚度的增加,热应力降低且在胶层中分布更趋于均匀;搭接长度对热应力的影响因接头所受约束方式的不同,呈现不同的规律.     

基于模糊专家规则的离散事件辨识及其在交通诱导中的应用

传统离散事件动态系统中的离散事件状态的转换具有不确定性,其不确定性主要来自状态转向发生时刻的不确定性,而所转向的状态一般具有确定性。本文对具有状态转向时刻和转向状态的二重不确定性的离散事件动态系统进行了讨论,用模糊专家系统来对未来状态和状态迁移时刻二重不确定性的离散事件动态系统进行评价,并以智能交通系统中车辆诱导技术为例,说明了此类模糊专家规则的应用价值。本文提出了一种模拟淬火算法,通过模拟物质加温后急剧冷却的过程来求得目标函数的局部极值,以模拟淬火算法的转向概率作为模糊专家系统中的规则选择概率。该方法有效地保证了事件转换的实时性,提高了交通疏导的效率。     

基于身份认证技术的系统数据安全保障方案探讨

身份认证是实现授权访问的基础,授权访问机制保障了应用系统访问的安全性,单点登录是为解决传统认证方式中存在的缺陷而提出的一项技术。本文介绍了统一身份认证中单点登录技术的概念和应用特点,提出了针对系统数据的安全问题,通过对Microsoft．Net Passport和Liberty两个单点登录标准的分析,提供了相应的保障方案和解决思路。     

Ontology-based modeling of dynamic ubiquitous computing applications as evolving activity spheres

As the computer disappears in the environments surrounding our activities, the objects therein become augmented with sensors, actuators, processors, memories, wireless communication modules and they can receive, store, process and transmit information. In addition to objects, spaces also undergo a change towards becoming smart and eventually Ambient Intelligence (AmI) spaces. In order to model the way everyday activities are carried out within an AmI environment, we introduce the notion of “activity sphere”. In this paper, we are interested in the ontology-based representation of activity spheres from two different perspectives (as creators and as observers), as well as the modeling and control of the dynamic nature of activity spheres.     

Construction of human monoclonal single-chain Fv antibodies against small-cell lung cancer by phage display libraries derived from cell-immunized SCID mice engrafted with human peripheral blood lymphocytes

In this study, we describe a phage display strategy to obtain human monoclonal single-chain Fv (scFv) antibodies binding target cancer cell surface proteins. By developing a cancer cell immunization protocol for SCID mice engrafted with human peripheral blood lymphocytes in combination with an antibody phage display method, we have isolated phage antibodies binding small-cell lung cancer cell line H889 by subtractive selection. One of the isolated scFv antibodies, 12EAb, recognized the E2 component of pyruvate dehydrogenase complex (PDC-E2) by immunoprecipitation according to MALDI-TOF MS analysis. Furthermore, we have confirmed the plasma membrane localization of PDC-E2 in small-cell lung cancer cells by immunocytochemistry and cell surface protein biotinylation, although PDC-E2 is usually located in the mitochondrial matrix. These results, including unique localization of identified antigens, were obtained by proteomic approaches. The present methods can be applied to generate human monoclonal scFv antibodies against tumor cells and to identify new molecular targets for immunotherapy and markers for diagnosis.     

Cryo-EM image alignment based on nonuniform fast Fourier transform

In single particle analysis, two-dimensional (2-D) alignment is a fundamental step intended to put into register various particle projections of biological macromolecules collected at the electron microscope. The efficiency and quality of three-dimensional (3-D) structure reconstruction largely depends on the computational speed and alignment accuracy of this crucial step. In order to improve the performance of alignment, we introduce a new method that takes advantage of the highly accurate interpolation scheme based on the gridding method, a version of the nonuniform fast Fourier transform, and utilizes a multi-dimensional optimization algorithm for the refinement of the orientation parameters. Using simulated data, we demonstrate that by using less than half of the sample points and taking twice the runtime, our new 2-D alignment method achieves dramatically better alignment accuracy than that based on quadratic interpolation. We also apply our method to image to volume registration, the key step in the single particle EM structure refinement protocol. We find that in this case the accuracy of the method not only surpasses the accuracy of the commonly used real-space implementation, but results are achieved in much shorter time, making gridding-based alignment a perfect candidate for efficient structure determination in single particle analysis.