Impact of speech presentation level on cognitive task performance: implications for auditory display design

Speech displays and verbal response technologies are increasingly being used in complex, high workload environments that require the simultaneous performance of visual and manual tasks. Examples of such environments include the flight decks of modern aircraft, advanced transport telematics systems providing in-vehicle route guidance and navigational information and mobile communication equipment in emergency and public safety vehicles. Previous research has established an optimum range for speech intelligibility. However, the potential for variations in presentation levels within this range to affect attentional resources and cognitive processing of speech material has not been examined previously. Results of the current experimental investigation demonstrate that as presentation level increases within this ‘optimum’ range, participants in high workload situations make fewer sentence-processing errors and generally respond faster. Processing errors were more sensitive to changes in presentation level than were measures of reaction time. Implications of these findings are discussed in terms of their application for the design of speech communications displays in complex multi-task environments.     

Leukocyte image segmentation using simulated visual attention

Computer-aided automatic analysis of microscopic leukocyte is a powerful diagnostic tool in biomedical fields which could reduce the effects of human error, improve the diagnosis accuracy, save manpower and time. However, it is a challenging to segment entire leukocyte populations due to the changing features extracted in the leukocyte image, and this task remains an unsolved issue in blood cell image segmentation. This paper presents an efficient strategy to construct a segmentation model for any leukocyte image using simulated visual attention via learning by on-line sampling. In the sampling stage, two types of visual attention, “bottom-up” and “top-down” together with the movement of the human eye are simulated. We focus on a few regions of interesting and sample high gradient pixels to group training sets. While in the learning stage, the SVM (support vector machine) model is trained in real-time to simulate the visual neuronal system and then classifies pixels and extracts leukocytes from the image. Experimental results show that the proposed method has better performance compared to the marker controlled watershed algorithms with manual intervention and thresholding-based methods.     

三维实体有限元可视化前处理系统开发

可视化前处理系统是有限元软件的重要组成部分。文章介绍了利用Visual C++和OpenGL图形库开发简易实用的三维实体有限元前处理系统的方法,实现了快速建立三维几何模型并划分网格的功能。另外,该系统具备视图操作功能,用户可方便地查看几何模型和有限元模型。     

基于粒子系统的爆炸效果仿真研究

针对目前诸如军事、铁路等领域事故爆炸仿真模型运算复杂、仿真效果较差的问题,提出了改进的仿真模型,该模型以粒子系统为基础,用定性、定量的随机变化模型代替爆炸物理过程的流体模型。将粒子发射速度参数与随机扰动速度参数相结合,建立通用仿真模型,通过给定不同的参数形成烟雾、火焰与爆炸碎片的具体仿真模型,可以有效降低爆炸效果模拟的计算复杂度。实验证明,该方法运算速度快,真实感强,可以满足各种爆炸效果的仿真需求。     

利用Visual C++开发系统进程管理器

介绍了利用Visual C 系统快照实现对系统当前进程的枚举,并根据枚举结果对进程进行管理.     

肌电信号采集系统与计算机的串口通信

肌电信号是在皮肤表面记录下来的神经和肌肉的系统活动时的生物电信号,有很好的临床价值。本文着重介绍了应用VB6.0中的MSComm控件实现肌电采集系统与计算机之间的串口通信。旨在探讨用可视化编程语言实现PC机与肌电信号采集系统之间数据通讯的技术及软硬件实现方案,充分合理地利用系统资源及特点,提高通讯效率。     

基于神经网络的机器人视觉伺服控制

视觉伺服可以应用于机器人初始定位自动导引、自动避障、轨线跟踪和运动目标跟踪等控制系统中。传统的视觉伺服系统在运行时包括工作空间定位和动力学逆运算两个过程,需要实时计算视觉雅可比矩阵和机器人逆雅可比矩阵,计算量大,系统结构复杂。本文分析了基于图像的机器人视觉伺服的基本原理,使用BP神经网络来确定达到指定位姿所需要的关节角度,将视觉信息直接融入伺服过程,在保证伺服精度的情况下大大简化了控制算法。文中针对Puma560工业机器人的模型进行了仿真实验,结果验证了该方法的有效性。     

基于VB6.0的汽车点火线圈测试系统软件设计

VB因其简单易学，功能强大而倍受测控软件开发人员的青睐。本文针对作者在开发点火线圈测试台软件的过程中遇到的重点、难点问题—串口通讯、端口读写、数据库操作等，介绍了用Visual BasiC 6．0实现的方法。     

传感器的测试技术

本文介绍了以VFP6．0软件，应用在Insb伪币检测传感器中，实现了电脑对传感器的阻值进行自动检测和排序，大大地提高了生产效率，达到理想效果。     

基于VB和Microsoft Excel的高程控制网可视化程序设计

随着计算机技术和测绘行业的发展,利用计算机软件进行测量解算已成为必需。水准测量是测绘学科的一个重要分支,开发水准测量程序具有重要的现实意义。文章介绍了用VB6 0开发水准测量程序及其实现。该程序采用相关间接平差模型,适用于各等级的水准网、三角高程网。它具有水准电子手簿、平差计算和精度评定的功能,操作简单、界面友好,能满足实际工程需要。