A Special Session on Granular Computing and Interval Computations at the 19th International Conference of the North American Fuzzy Information Processing Society (NAFIPS) Atlanta,Georgia, July 13–15, 2000

Reliable Computing -     

A performance criterion for the depth estimation with application to robot visual servo control

This article deals with the depth observability problem of a robot visual system with a moving camera. In the visual system, the unknown depth of a feature point is estimated from the input of the camera velocity and the output of the image of the feature point. Although it is well known that the linear velocity of the camera must satisfy some constraints for successful depth estimation, this proposes a criterion to measure the performance of the depth estimation, which is a heuristic extension from an estimation result of a linear system. This performance criterion depends on both the image position and the linear velocity of the camera. Some simulation and experiment examples demonstrate and verify the proposed performance criterion. Furthermore, this criterion is used to develop a new visual servo control scheme that has good performance in both the depth estimation and the visual control. This control scheme is also verified by a simulation example. © 2001 John Wiley & Sons, Inc.     

DCS项目的决策与实施

探讨了DCS(DistributedControlSystem)目前存在的供货商多、系统复杂、价格昂贵、工程周期长等特点 ,以及如何顺利实施DCS项目的计划     

基于切割点的字符串与框线分离方法

本文针对表格中存在的字符与框线粘连的问题,提出了基于切割点的字符与框线分离方法,能够较好地消除字符与框线粘连给字符识别带来的不利影响。本方法已应用于银行票据识别系统中,取得了较好的效果。实践表明此方法可行、高效和实用。     

Adaptive target recognition

Target recognition is a multilevel process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of correct identification (PCI) and probability of false alarm (Pf) is a key challenge in computer vision and pattern recognition research. In this paper, a robust closed-loop system for recognition of SAR images based on reinforcement learning is presented. The parameters in model-based SAR target recognition are learned. The method meets performance specifications by using PCI and Pf as feedback for the learning system. It has been experimentally validated by learning the parameters of the recognition system for SAR imagery, successfully recognizing articulated targets, targets of different configuration and targets at different depression angles.     

一类基于知识的通信中介代理

介绍了一类基于知识的通信中介代理,它为网上通信各方提供智能中介服务。通过这类代理,网上通信各方可以以信息需求驱动的通信方式替代传统地址驱动的通信方式。同时,还对共享本体论等进行了讨论。     

分布式数据库研究的新方向

分布式数据库的研究已有二十余年历史。近年来半向何方发展 数据库的异构性与自治性,网络规模的膨胀以及移动计算技术的出现,都对分布式数据库技术提出新的挑战,本文从网络数据库的组织、等两个方面入手,讨论了分布式数据库研究所面临的几个新课题,最后对未来分布式数据库的发展前景作了展望。     

离散时间系统的鲁棒稳定性分析--积分二次约束方法

利用新近发展起来的积分二次约束（ＩＱＣ）方法,对离散时间系统,给出了其鲁棒稳定性分析准则,使一大类古典稳定性结果可以统一和概括在积分二次约束的框架之下。并且,利用积分二次约束方法,讨论了一类混合摄动系统的鲁棒稳定性。     

组播技术在数字视音频监控系统中的应用

IP组播技术是九十年代初发展起来的网络传输新技术。本文主要介绍了组播技术的基本原理,描述其机制与特点,并具体说明了组播技术在数字视音频监控系统中的应用方法和实现过程。     

ASOJI:一种基于Agent技术的控制集成方法

本文提出一种基于Agent技术的控制集成方法ASOJ1,它将集成化应用系统的体系结构设计为Agent社团,并通过清晰地定义基于活动分担的联合意向和计算活动的逐层分解和分担,从体系结构方式、Agents协作和语义互操作这三个方面,支持集成化应用系统的开发.