用VISUAL FOXPRO设计专业产品数据库

根据专业产品数据库的特点和安全性要求提出了基本设计思想，包括根据用户权限进行检索，建立了Ａ，Ｂ库，形成不同视图以满足不同用户需求。     

淬透性曲线应用系统的开发与应用

介绍利用VISUAL BASICA6.0在计算机上建立各种常用钢种淬透性曲线的软件开发,以及利用淬透性曲线和所建立的数据库自动完成淬透性曲线在各种应用中的相关计算的功能。     

液晶显示器件工作特性模拟软件

介绍笔者新近研制成功的向列相液晶显示器件工作特性模拟软件VISUAL LCD.VISUAL LCD适用于TN、STN、FSTN等多种液晶显示器的模拟计算,可给出液晶指向矢分布、电光曲线、视角、动力学响应等.VISUAL LCD计算精度高,功能强,用户界面友好、美观,使用方便、可广泛应用于LCD的研究和生产.     

An Introduction to Using XML for the Management of Laboratory Data

Extensible Markup Language (XML) and the XML Path Language (XPath) are introduced with software examples demonstrating how one can use them to write laboratory data management programs. Topics explored include XML document creation, manipulation, and searching. Programming examples make use of the Microsoft® XML Parser library and the Visual Basic programming language. The problem of managing microplate screening data is used as an illustration. Source code for all examples can be downloaded from http://www.labprogrammer.net.     

利用触摸屏的虚拟动平衡测试系统

介绍了基于虚拟仪器技术的动平衡测试系统.该系统以VISUAL BASIC 6.0设计控制软件,利用MSCOMM控件实现上位机与下位机之间的数据传输,使测量过程中数据的采集、存储、分析及结果输出等工作更加高效.同时考虑到系统应用在车间中,不方便使用键盘与鼠标,引进触摸屏装置.     

Stereo Tracking and Servoing for Space Applications

This paper proposes a real-time, robust and efficient three-dimensional (3-D) model-based tracking algorithm for visual servoing. A virtual visual servoing approach is used for 3-D tracking. This method is similar to more classical nonlinear pose computation techniques. Robustness is obtained by integrating an M-estimator into the virtual visual control law via an iteratively reweighted least-squares implementation. The presented approach is also extended to the use of multiple cameras. Results show the method to be robust to occlusion, changes in illumination and mistracking.     

Slip-compensated path following for planetary exploration rovers

A system that enables continuous slip compensation for a Mars rover has been designed, implemented and field-tested. This system is composed of several components that allow the rover to accurately and continuously follow a designated path, compensate for slippage and reach intended goals in high-slip environments. These components include visual odometry, vehicle kinematics, a Kalman filter pose estimator and a slip-compensated path follower. Visual odometry tracks distinctive scene features in stereo imagery to estimate rover motion between successively acquired stereo image pairs. The kinematics for a rocker–bogie suspension system estimates vehicle motion by measuring wheel rates, and rocker, bogie and steering angles. The Kalman filter processes measurements from an inertial measurement unit and visual odometry. The filter estimate is then compared to the kinematic estimate to determine whether slippage has occurred, taking into account estimate uncertainties. If slippage is detected, the slip vector is calculated by differencing the current Kalman filter estimate from the kinematic estimate. This slip vector is then used to determine the necessary wheel velocities and steering angles to compensate for slip and follow the desired path.     

Object Category Acquisition by Dynamic Touch

The acquisition of object categories which underlie the human lexicon is a prerequisite for domestic robots to communicate with users in a human-like manner. The theory of J. J. Gibson inspires the approach to obtain shared categories through interaction with the shared environment, where explorative behaviors of infants play the role of obtaining distinctive features of objects to shape their categories. Although several existing studies have reproduced the exploratory behaviors of infants by robots to investigate their roles in acquiring such categories, those active categorization methods utilized static touches and the recognition tended to fail by changes of contact conditions. This paper introduces another possible approach to object categorization — object category acquisition by dynamic touch. Dynamic touch (e.g., shaking) provides the agent with the information of the whole object to enable quick and robust recognition. The amplitude spectrum of auditory data which humans obtain during shaking is found to be an effective feature for identifying the object categories of differing dynamics, e.g., rigid objects, paper materials and bottles of water, even though the objects within each category vary in size, shape, amount and contact conditions. Experimental results are given to show the validity of the proposed method and future issues are discussed.