Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.     

Iterative learning based fault detection and estimation in nonlinear systems

Aiming at a class of nonlinear systems that contains faults,a novel iterative learning scheme is applied to fault detection,and a novel algorithm of fault detection and estimation is proposed.This algorithm first constructs residual signals by the output of the practical system and the output of the designed fault tracking estimator,and then uses the residuals and the differencevalue signal of the adjacent two residuals to gradually revise the introduced virtual faults,which can cause the virtual faults to close to the practical faults in systems,thereby achieving the goal of fault detection for systems.This algorithm not only makes full use of the existing valid information of systems and has a faster tracking convergent speed than the proportional-type(P-type) algorithm,but also calculates more simply than the proportional-derivative-type(PD-type) algorithm and avoids the unstable effects of differential operations in the system.The final simulation results prove the validity of the proposed algorithm.     

Two Improved Digital Signature Schemes

1. INTRODUCTIONWith the rapid development of information technologyl the security and secrecy of computer network systemare becoming more and more important. Therefore, in order to guaratee the security of the network systemand data information, we must study new type of cipher and encryption technology. This is one of the mosteffective ways to guaratee that the system can be run dependably. Only if the data is encrusted, the integrityof the information content in communication links is a…     

ADAPTIVE SYSTEMS THEORY： SOME BASIC CONCEPTS, METHODS AND RESULTS

The adaptive systems theory to be presented in this paper consists of two closely related parts: adaptive estimation (or filtering, prediction) and adaptive control of dynamical systems. Both adaptive estimation and control are nonlinear mappings of the on-line observed signals of dynamical systems, where the main features are the uncertain-ties in both the system‘s structure and external disturbances, and the non-stationarity and dependency of the system signals. Thus, a key difficulty in establishing a mathematical theory of adaptive systems lies in how to deal with complicated nonlinear stochastic dynamical systems which describe the adaptation processes. In this paper, we will illustrate some of the basic concepts, methods and results through some simple examples. The following fundamental questions will be discussed: How much information is needed for estimation? How to deal with uncertainty by adaptation? How to analyze an adaptive system? What are the convergence or tracking performances of adaptation? How to find the proper rate of adaptation in some sense? We will also explore the following more fundamental questions: How much uncertainty can be dealt with by adaptation ? What are the limitations of adaptation ? How does the performance of adaptation depend on the prior information ? We will partially answer these questions by finding some “critical values“ and establishing some “Impossibility Theorems“ for the capability of adaptation, for several basic classes of nonlinear dynamical control systems with either parametric or nonparametric uncertainties.     

“EII META-MODEL” ON INTEGRATION FRAMEWORK FOR VIABLE ENTERPRISE SYSTEMS——CITY PLANNING METAPHOR BASED ON STRUCTURAL SIMILARITY

Enterprise systems must have the structure to adapt the change of business environment. Whenrebuilding enterprise system to meet the extended operational boundaries, the concept of IT cityplanning is applicable and effective. The aim of this paper is to describe the architectural approachfrom the integrated information infrastructure (In3) standpoint and to propose for applying the "CityPlanning" concept for rebuilding "inter-application spaghetti" enterprise systems. This is mainlybecause the portion of infrastructure has increased with the change of information systems fromcentralized systems to distributed and open systems. As enterprise systems have involvedheterogeneity or architectural black box in them, it may be required the integration framework(meta-architecture) as a discipline based on heterogeneity that can provide comprehensive view of theenterprise systems. This paper proposes "EII Meta-model" as the integration framework that canoptimize the overall enterprise systems from the IT city pl     

Expert discovery and knowledge mining in complex multi-agent systems

Complex problem solving requires diverse expertise and multiple techniques. In order to solve such problems, complex multi-agent systems that include both of human experts and autonomous agents are required in many application domains. Most complex multi-agent systems work in open domains and include various heterogeneous agents. Due to the heterogeneity of agents and dynamic features of working environments, expertise and capabilities of agents might not be well estimated and presented in these systems. Therefore, how to discover useful knowledge from human and autonomous experts, make more accurate estimation for experts＇ capabilities and find out suitable expert（s） to solve incoming problems （＂Expert Mining＂） are important research issues in the area of multi-agent system. In this paper, we introduce an ontology-based approach for knowledge and expert mining in hybrid multi-agent systems. In this research, ontologies are hired to describe knowledge of the system. Knowledge and expert mining processes are executed as the system handles incoming problems. In this approach, we embed more self-learning and self-adjusting abilities in multi-agent systems, so as to help in discovering knowledge of heterogeneous experts of multi-agent systems.     

Grey systems for intelligent sensors and information processing

In a measurement system, new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system. A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized measurement system. The methods of grey representation and information processing are proposed for data collection and reasoning. As a case study, multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.     

The Role of Social Media in Providing Crisis Information in China:A Critical Evaluation of the Tianjin Fire Incident

This paper focusses on the information asymmetry in crisis news after a serious incident in Tianjin, China, in 2015. The incident caused enormous damage and resulted in societal unrest because of the lack of reliable information from the formal media channels. Social media — micro blogs —played a major role in reporting on crisis situations. We divided netizens(i.e., the citizens of the net)into high and low types according to their information-critical level to the crisis news. The data shows information deterioration on the crisis news, related to the netizens' information-critical level. For the traditional media there is the opportunity to use information quality distortion to make more marginal profits. This is possible only if the citizens' information stays under a certain quality level. The result is overprovision of low quality news and high quality news driven out of the market, whereupon adverse selection(i.e., a lack of symmetric information) appears. However, by adopting a process view, we found self-correcting mechanism(i.e., dying out of rumors) of the social media communities in China.We provided a agent-base model and simulation to show that the more media exist in the market, the faster speed of the information deterioration, but also the capacity to ‘discuss' rumors.     

“EII META—MODEL” ON INTEGRATION FRAMEWORK FOR VIABLE ENTERPRISE SYSTEMS——CITY PLANNING METAPHOR BASED ON STRUCTURAL SIMILARITY

Enterprise systems must have the structure to adapt the change of business environment.When rebuilding enterprise system to meet the extended operational boundaries,the concept of IT city planning is applicable and effective.The aim of this paper is to describe the architectural approach from the integrated imformation infrastructure(In3) standpoint and to propose for applying the “City Planning” concept for rebuilding “inter-application spaghetti” enterprise systems.This is mainly because the portion of infrastructure has increased with the change of information systems from centralized systems to distributed and open systems.As enterprise systems have involved heterogeneity or architectural black box in them,it may be required the integration framework (meta-architecture)as a discipline based on heterogeneity that can provide comprehensive view of the enterprise systems.This paper proposes “EII Meta-model” as the integration framework that can optimize the overall enterprise systems from the IT city planning point of view.EII Meta-model consists of “Integrated Information Infrastructure Map(In3-Map)”,“Service·Framework” and “IT Scenario”.It would be applicable and effective for the viable enterprise,because it has the mechanism to adapt the change.Finally,we illustrate a case of information system in an online securities company and demonstrate spplicability and effectiveness of EII Meta-model to meet their business goals.     

Improvement on GM models

Since grey system theory was established by prof. Deng, GM models and their improvements have all taken the first vector of the original sequence as the initialization, which resulted to deficiency in making use of the latest information. Based on the principle, which new information should be used fully, we think it is scientific to pay more attention to the new information or endow them a more weigh. So, this paper deals with the GM improvement by taking the n-th vector as the initialization, and gets great improvement in forecasting precision. Last, we validate the practicability and reliability of the models with examples.     

军事信息系统项目军民融合决策评估模型

针对军事信息系统项目军民融合事前决策评估问题,提出了一种基于改进层次分析法和云模型的军事信息系统项目军民融合需求度评估模型,为研究军民融合评估工作探索一条新的途径.利用正态分布区间数表示评估数据,并利用区间数逆向云发生器生成各评估指标云.同时采用兼顾形状和距离的正态云模型相似度测算方法对军民融合需求度进行综合评估.仿真实验表明,本文提出的评估模型具有很好的合理性和可用性.     

电子政务的层次角色网络模型研究

针对电子政务中平行部门的业务集成问题,首先对现有角色网络模型做进一步的整理、抽象和完善,并在此基础上进行扩展,提出了层次角色网络模型(HRNM).然后将HRNM作为平行组织业务集成的管理和控制模型,提出了应用集成的体系结构及业务集成的策略.最后给出了一个基于HRNM的行政审批业务集成的实例.     

Principle, Method of Object-Relation Hypermedia Data Model and Its Application in the Multimedia Spatial Data Management

1.THEPriNCIPLEOFO-RHDM1.1AnalysisoftheExistingMultimediaDataModelThemultimediadatamodelisthekeytechniquefortherealizationofmultimediaspatialinformationmanagement.ThepresentexistingmultimediadatamodelmainlyincludesNFZmultimediadatamodel,object-originalmultimediadatamodelandhyper-mediadatamodelandsoon.Thoughthesethreekindsofmodelcanrealizetheorganizationandmanagementforthemultimediadatainacertaindegree,allofthemhavesomeweaknessduringthespecificuseinspatialmultimediadatamanagement.1.1.1…     

推演系统中面向角色的二维态势研究

介绍推演系统中二维态势TPD设计的一般方法,分析当前二维态势系统中存在的各种缺陷和不足,明确在二维态势设计中应充分考虑角色获得信息能力的差异和信息融合对信息准确性的影响,提出了真实态势和感知态势的概念,由此设计了面向角色的二维态势系统。实际应用表明,面向角色的二维态势使角色对虚拟态势的感知更接近实际情况,提高了系统的仿真可信度。     

空间数据库管理系统VISTA的角色访问控制设计

从角色安全定义、角色访问设计角度讨论了空间数据库管理系统VISTA中基于角色的访问控制(role-based access control,RBAC)的设计方案及其实现方法。通过对角色偏序关系和角色管辖域的讨论,说明了该设计方案的可用性和安全性。通过定义虚拟用户的概念,解决了当主体删除时,所属客体的存在性问题,保证了数据的可用性和可继承性。同时给出了该方法的基本算法流程及相应的安全信息数据结构。该方法可以移植到其他相似的ORDBMS中。     

基于网格的商品流通领域供应链信息集成效率

将网格技术应用于供应链信息集成中是适应竞争环境变化的必然要求。以商品流通领域供应链信息集成为例,首先简要介绍了商品流通领域供应链信息集成,然后利用时间Petri网对传统模式下企业供应链和网格环境下供应链集成系统的信息共享和业务运作模式的效率进行了对比分析。分析结果验证了网格环境下供应链集成系统效率的优越性。     

Some ISsues about Information System Integration

１ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｒｅｃｅｎｔｙｅａｒｓｔｈｅｄｅｖｅｌｏｐｍｅｎｔｏｆＭａｎａｇｅｍｅｎｔＩｎｆｏｒｍａｔｉｏｎＳｙｓｔｅｍ（ＭＩＳ）ｉｎＣｈｉｎａｉｓｇｏｉｎｇｔｏａｎｅｗｅｒａ．Ｓｉｇｎｉｆｉｃａｎｔａｐｐｌｉｃａｔｉｏｎａｃｃｏｍ...     

简单本体的形式化模型及包含性检验

本体是指对领域概念化的一个显式的规格说明,应用在智能体间的通信、异构信息的集成、语义Web等领域。利用描述逻辑建立了一个简单本体的形式化模型——一个四元组,包括术语集、实例集、术语定义集和实例声明集,然后分析了本体术语检验问题。术语检验包括术语的可满足性、等价性、包含性及非交性检验,这4种检验可以归结为包含性检验。最后给出术语包含性的检验方法,并证明了这种方法的合理性与完备性。     

6Sigma在系统集成过程中的应用

6Sigma是实现过程控制和持续改进的有效方法．本文针对复杂系统集成过程管理存在的问题，分析了6Sigma在系统集成过程管理中应用的可行性．提出了一种基于6Sigma的系统集成过程模型。该模型具有信息及时反馈、过程持续改进、提高质量和降低成本的特点，在项目中得到应用并取得明显效果。     

基于PRI捷变的雷达通信一体化共享信号设计方法

雷达通信一体化能有效提高频谱利用率, 减小电子设备体积, 是多功能综合一体化电子系统的主要研究方向之一。本文在随机脉冲重复间隔(pulse repetition interval, PRI)雷达的基础上, 提出一种新的基于PRI捷变的雷达通信一体化共享信号设计方法。通过改变发射信号的PRI, 将通信信息嵌入到发射信号中, 在雷达信号处理端, 引入压缩感知理论来完成方位向相参积累, 并实现对目标速度的超分辨估计; 在通信信号处理端, 通过检测脉冲的PRI来完成信息的解调。仿真试验表明, 所提方法在保证雷达探测性能的前提下, 可实现通信信息的稳定传输。