Interactive transfer function design based on editing direct volume rendered images

Direct volume rendered images (DVRIs) have been widely used to reveal structures in volumetric data. However, DVRIs generated by many volume visualization techniques can only partially satisfy users' demands. In this paper, we propose a framework for editing DVRIs, which can also be used for interactive transfer function (TF) design. Our approach allows users to fuse multiple features in distinct DVRIs into a comprehensive one, to blend two DVRIs, and/or to delete features in a DVRI. We further present how these editing operations can generate smooth animations for focus + context visualization. Experimental results on some real volumetric data demonstrate the effectiveness of our method.     

Identification of nasopharyngeal carcinoma antigens that induce humoral immune response by proteomic analysis

A proteomics-based approach has been used to identify proteins that commonly elicit a humoral immune response in nasopharyngeal carcinoma (NPC). Sera from 19 newly diagnosed NPC patients and 19 healthy individuals were analyzed for IgG autoantibodies against NPC proteins resolved by 2-DE. Protein spots that exhibited selective reactivity with sera from NPC patients were identified by MS. Among nine identified proteins, cytokeratin 19 (CK19), Erb3 binding protein (EBP1), and Rho GDP dissociation inhibitor-beta (Rho-GDI-2) induced autoantibodies in more than 36.8% of NPC patients but not in healthy individuals. Furthermore, Western blot analysis and immunohistochemical staining were performed to determine the expression and localization of CK19, EBP1, and Rho-GDI-2 in NPC and normal nasopharyngeal mucosal tissues. Up-regulated CK19 and EBP1, but not Rho-GDI-2, were observed in NPC vs. normal tissue. Subcellular localization of the three proteins in NPC tissue was same as that in the normal tissue. Thus, overexpression of CK19 and EBP1 may be one of the mechanisms for their autoantibody development in NPC. To validate the findings of a proteomic analysis, occurrence of autoantibodies against these three proteins was detected by immunoprecipitation and Western blot analysis in additional 30 NPC patients, 23 other types of cancer patients and 20 healthy individuals. Results showed that frequency of autoantibodies against CK19, EBP1 and Rho-GDI-2 in NPC patients was significantly higher than that in other types of cancer patients and healthy individuals. We conclude that CK19, EBP1 and Rho-GDI-2 may have utility in NPC screening and diagnosis.     

Performance evaluation of a dental handpiece in simulation of clinical finishing using a novel 2DOF in vitro apparatus

This paper reports on the performance evaluation of a dental handpiece in simulation of clinical finishing using a novel two-degrees-of-freedom (2DOF) in vitro apparatus. The instrumented apparatus consisted of a two-dimensional computer-controlled coordinate worktable carrying a dental handpiece, a piezoelectric force dynamometer, and a high-speed data acquisition and signal conditioning system for simulating the clinical operations and monitoring the dental finishing processes. The performance of the dental handpiece was experimentally evaluated with respect to rotational speed, torque, and specific finishing energy under the applied clinical finishing conditions. The results show that the rotational speeds of the dental handpiece decreased by increasing either the depth of cut or the feed rate at a constant clinically applied air pressure and water flowrate. They also decreased when increasing both the tangential and normal finishing forces. The specific finishing energy decreased with an increase in either depth of cut or feed rate, while the finishing torque increased as either the depth of cut or the feed rate was increased. Implications of these results were to provide guidance for proper applications of dental handpieces in clinical practice.     

自组织RBF 神经网络对驾驶员主动安全性因素的辨识

利用自组织RBF神经网络对驾驶员主动安全性因素进行辨识。对网络进行训练时,首先由改进FCM算法根据输入样本内部关系确定RBF参数并通过一个聚类合理性聚类控制聚类个数,然后根据网络映射性能对RBF参数细调并对输出权值学习。利用本文给出的网络成功地对驾驶员的熟练程度进行了识别。     

用户自定义报表生成器的分析与实现

通过分析PowerBuilder的报表格式,实现可供用户方例、快捷地创建和修改报表的报表生成器、,以减少程序的维护工作量。     

可重构机器人技术的探讨

本文概述了可重构机器人研究和发展现状 ,对基于多 Agent的可重构机器人的控制方法的研究作了较详细的介绍 ,根据可重构机器人的应用背景 ,指出了可重构机器人研究的必要性     

通过显微图像特征抽取获得微操作目标纵向信息

工作于生物显微镜下的微操作机器人系统,是完成对生物细胞显微操作的专用操作系 统．由于各种原因,常规的反馈定位控制难以实现．系统中惟一可以利用的信息是由CCD摄 像机获得的显微平面图像,目标的纵向信息难以获得．本文提出了一种基于系列显微图像频 率特性比较的分析方法,完成对微操作系统中各目标体的纵向位置信息的获取,为本系统的 标定工作和位置控制的实现奠定了基础．     

“龙腾”R2微处理器Cache单元的设计与实现

合理地组织一个多级的高速缓冲存储器(Cache)是一种有效的减少存储器访问延迟的方法。论文提出了一种设计32位超标量微处理器Cache单元的结构,讨论了一级Cache、二级Cache设计中的关键技术,介绍了Cache一致性协议的实现,满足了“龙腾”R2微处理器芯片的设计要求。整个芯片采用0.18umCMOS工艺实现,芯片面积在4.1mm×4.1mm之内,微处理器核心频率超过233MHz,功耗小于1.5W。     

基于NS2的蓝牙设备发现机制分析*

对蓝牙设备连接机制进行了研究,分析了点到点连接建立的延迟。根据散射网情况下多个设备间的发现机理,采用对称设备发现机制实现了网络中的设备发现过程。通过建立处于扫描状态的设备被其他设备发现的数学模型,指出了优化设备发现算法中的关键参数值的问题,从而提高了设备发现阶段的效率。基于NS2的仿真实验证实了得到的关键参数值的正确性。     

盲的环境补偿方法

环境鲁棒性是语音识别系统的一个很重要的问题。本文讨论了环境加性噪声和卷积噪声对语音数据的影响,以及提高系统的鲁棒性的盲的环境补偿方法。