A polynomial dynamic system approach to software design for attractivity requirement

Because of the widespread increasing application of Web services and autonomic computing, self-adaptive software is an area gaining increasing importance. Control theory provides a theoretical foundation for self-adaptive software. In this paper, we propose the use of the supervisory control theory of discrete event dynamic systems (DEDS) to provide a rigorous foundation for designing software for reactive systems. This paper focuses in particular on design of software with an attractivity requirement. It studies this problem using the polynomial dynamic system (PDS) model of DEDS. A necessary and sufficient condition for software existence and two algorithms for such software design are presented.     

Twenty years of artificial life art

This essay begins with discussion of four relatively recent works which are representative of major themes and preoccupations in Artificial Life Art: ‘Propagaciones’ by Leo Nuñez; ‘Sniff’ by Karolina Sobecka and Jim George; ‘Universal Whistling Machine’ by Marc Boehlen; and ‘Performative Ecologies’ by Ruari Glynn. This essay is an attempt to contextualise these works by providing an overview of the history and forms of Artificial Life Art as it has developed over two decades, along with some background in the ideas of the Artificial Life movement of the late 1980s and 1990s.1 A more extensive study of the theoretical history of Artificial Life can be found in my paper ‘Artificial Life Art—A Primer’, in the Proceedings of DAC09 and also at http://www.ace.uci.edu/Penny. Excerpts from that essay are included here.      

基因调控过程中的典型控制环节

生物系统的控制和机械系统的控制一样,都遵循控制论的基本原理.生物学家对于基 因调控和细胞信号传导过程已经进行了许多实验研究,急需对实验结果进行理论总结.综述了 这些研究成果,归纳出7种典型的控制环节.基因调控和信号传导路径可以由这些控制环节组合 而成,可以用控制论进行分析研究,寻找其中的共同规律.     

社会控制论及其进展

本文综述控制论应用于社会系统和社会过程的研究及其取得的成就; 介绍社会控制论的诞生、定义和定位; 叙述社会控制论的发展沿革; 小结了社会系统控制论研究的主要方法; 阐明社会控制论的有关主要理论、原理和技术. 在几个实例中, 介绍了自反控制模型、人类活动理论应用、人类前景的研究、基于人工社会的教室行为动态研究和中美知识产权谈判研究等. 最后本文给出分析和评论.     

受控网络系统及其安全结构研究

研究基于网络控制论概念的受控网络系统，目的在于利用控制论的理论和方法来分析、评价各种网络系统性能，指导、规范网络的设计和管理，提高网络的运行效率和安全性，从根本上解决网络可控性、可观性和安全性问题。阐述了网络控制论和受控网络的概念；给出了受控网络系统安全结构的设计原则；从受控安全策略、机制、平台、传输、连接和系统调度管理等6方面论述了受控网络系统安全结构的组成；为进一步研究网络的可控性和可观性提供参考，在一定程度上为网络控制论的实际应用作了必要的尝试。     

网络控制论的多层多重视点模型体系研究

建模分析是网络控制论中重要的分析方法,传统的模型不能全面地描述并分析网络控制论系统中的复杂问题。首先提出了多层多重视点模型体系;然后从网络控制论系统模型的分类、多层多重视点模型体系和建模的一般步骤3个方面,详细阐述了网络控制论的多层多重视点模型体系;通过实例表明:多层多重视点模型体系具有全局性、清晰性和主动性的特点,是分析网络控制论系统的一种有效方法。     

A MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM USING COMPRESSED FINGER IMAGES

Finger image recognition remains one of the most prominent biometric identification methods. However, storage of finger databases needs allocation of huge secondary storage devices. In addition, there has been limited success in obtaining a satisfactory system due to the complexity of the problem. In this article, a low-cost, high-speed, multimodal biometric identification system trained with compressed finger images is presented with the objective to increase the overall matching confidence level. For this, three finger images of the left or right hand, or both, for one person are matched and the output decision is combined. A prototype optical-based finger-data acquisition system using the CCD (charge coupled device) digital still camera is adopted to capture a complete impression of finger area required for accurately identifying an individual. The acquired images then are compressed with a Coif5 wavelet packet-based scheme to increase the overall performance and eliminate bulk storage requirements. The finger image features are extracted with an adaptive neural network for the implementation of a three-finger multimodal system to achieve a peak identification rate of 100% (99.4% on average) in 0.15s for a database of 50 persons and 450 test images.     

电子装备加速实验中的故障预测方法

现代电子装备结构复杂,故障规律难以掌握。而通过对装备组成单元故障规律的研究可推导出装备整体故障规律并进行故障预测。本文着手于对装备组成单元故障规律和故障预测方法的研究。首先利用加速试验来缩短装备组成单元试验时间,获取大量故障规律信息;对加速试验的数据进行了处理;然后基于灰色预测理论,将加速试验中获得的故障规律外推,推测出装备组成单元在正常应力水平下的故障规律并进行故障预测;最后利用相似度和“年老”隶属函数给出了预测结果的可信度。     

工程地质体控制论

工程地质体控制论是研究地质工程系统的控制与调节规律的科学。它是工程实践经验、工程建设需要、工程技术与地学发展以及系统理论应用的产物。本文不仅系统地阐明了有关的理论概念问题,而且提出了工程地质体控制论的基本方法。这是将控制论应用于地质工程建设的一个大胆探索。     

Systems models for infrastructures

The paper analyzes the equations which model the growth of human populations and the accompanying infrastructure developments which are required to support the corresponding societies because of their direct or implicit dependence upon human needs. Systems methods are employed to treat the coupled non-linear phenomena, and numerical examples are displayed. The fundamental nature of the models is found to be logistic, and there is switching at critical points between regimes or phases of growth.