“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.     

Modeling and forecasting of stock markets under a system adaptation framework

This paper adopts the concept of dynamic feedback systems to model the behavior of financial markets,or more specifically,the stock market from a dynamic system point of view.Based on a feedback adaptation scheme,the authors model the movement of a stock market index within a framework that is composed of an internal dynamic model and an adaptive filter.The output-error model is adopted as the internal model whereas the adaptive filter is a time-varying state space model with instrumental variables.Its input-output behavior,and internal as well as external forces are then identified.Special attention has also been paid to the recent financial crisis by examining the movement of Dow Jones Industrial Average(DJIA) as an example to illustrate the advantage of the proposed framework.Supported by time-varying causality tests,five influential factors from economic and sentiment aspects are introduced as the input of this framework.Testing results show that the proposed framework has a much better prediction performance than the existing methods,especially in complicated economic situations.An application of this framework is also presented with focuses on forecasting the turning periods of the market trend.Realizing that a market trend is about to change when the external force begins to exhibit clear patterns in its frequency responses,the authors develop a set of rules to recognize this kind of clear patterns.These rules work well for stock indexes from US, China and Singapore.     

The Algebraic Properties of Concept Lattice

Concept lattice is a powerful tool for data analysis. It has been applied widely to machine learning, knowledge discovery and software engineering and so on. Some aspects of concept lattice have been studied widely such as building lattice and rules extraction, as for its algebraic properties, there has not been discussed systematically. The paper suggests a binary operation between the elements for the set of all concepts in formal context. This turns the concept lattice in general significance into those with operators. We also proved that the concept lattice is a lattice in algebraic significance and studied its algebraic properties.These results provided theoretical foundation and a new method for further study of concept lattice.     

Complexity and intransitivity in technological development

This paper investigates the existence of a fundamental link between two disciplines that emerged during last few decades： complexity science and advanced engineering. During this time many industries, especially those related to the high-tech end of technological development, have faced the problem of increasing complexity of design, production and operation. Industrial projects have grown to become multidisciplinary, tightly interconnected, costly and difficult to control and predict. Two trends can be identified in this respect： one is the consistent effort of systems engineering in reducing the uncertainties of complex industrial operations and the other is the effort undertaken in complexity studies to account for uncertainties present in the real world.
In this work, we provide a brief overview of recent developments in advanced engineering and give a consistent interpretation of technological evolution from the perspective of complexity science in general and complex competitive systems （CCS） in particular. CCS is a general framework that was recently developed for analysis of complex systems involving competition. Transitivity of the decision-making process and the cyclic nature of technological progress are considered. Correctness of intransitive decisions is inherently relativistic： the same decisions can be seen as correct or incorrect when considered from different perspectives. When treated simplistically, intransitivity may seem to be illogical but, nevertheless, it is common in nature and needs to be studied. CCS provides a formalised scientific framework for analysis of intransitivity and establishes the existence of an important connection linking complexity and uncertainty with intransitivity. Implications of intransitivity for engineering decision-making and strategic planning are considered in the context of CCS. A working example of intransitivity in competition between major car mantifacturers is presented.     

Multi-band spectrum auction framework based on location information in cognitive radio networks

Cognitive radio(CR) technology is considered to be an effective solution to allocate spectrum resources,whereas the primary users of a network do not fully utilize available frequency bands.Spectrum auction framework has been recognized as an effective way to achieve dynamic spectrum access.From the perspective of spectrum auction,multi-band multi-user auction provides a new challenge for spectrum management.This paper proposes an auction framework based on location information for multi-band multi-user spectrum allocation.The performance of the proposed framework is compared with that of traditional auction framework based on a binary interference model as a benchmark.Simulation results show that primary users will obtain more total system revenue by selling their idle frequency bands to secondary users and the spectrum utilization of the proposed framework is more effective and fairer.     

Formalising and Detecting Community Structures in Real World Complex Networks

Community structure is an integral characteristic of real world networks whichever processes or areas they emerge from. This paper addresses the problem of community structure detection theoretically as well as computationally. The authors introduce a number of concepts such as the neighbourhood and strength of a subgraph, p-community, local maximal p-community, hubs, and outliers that play elemental role in formalising the concept of community structure in complex networks. A few preliminary results have been derived that lead to the development of an algorithm for community structure detection in undirected unweighted networks. The algorithm is based on a local seed expansion strategy that uses the concept of interaction coefficient. The authors have analysed the algorithm on a number of parameters such as accuracy, stability, and quality on synthetic and real world networks from different areas.     

Two-dimensional Hurwitz-Schur stability test of linear systems with interval delays

It is difficult to determine the stability of linear systems with interval delays (LID systems) because the roots of the characteristic polynomials of the systems are continuous and vary in a complex plane with the delay. To solve the problem, this paper develops a stability test of LID systems by resorting to 2-D hybrid polynomials and 2-D Hurwitz-Schur stability. Comparing with the existing test approaches for LID systems, the proposed 2-D Hurwitz-Schur stability test is easy to apply, and can obtain closed form constraint conditions for system parameters. This paper proposes some theorems as sufficient conditions for the stability of LID systems, and also reveals that recent results about the stability test of linear systems with any delays (LAD systems) are not suitable for LID systems because they are very conservative for the stability of LID systems.     

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.     

Construction of time-frequency codes based on protograph LDPC codes in OFDM communication systems

This paper proposes a scheme to construct timefrequency codes based on protograph low density parity check (LDPC) codes in orthogonal frequency division multiplexing (OFDM) communication systems.This approach synthesizes two techniques:protograph LDPC codes and OFDM.One symbol of encoded information by protograph LDPC codes corresponds to one subcarrier,namely the length of encoded information equals to the number of subcarriers.The design of good protograph LDPC codes with short lengths is given,and the proposed protograph LDPC codes can be of fast encoding,which can reduce the encoding complexity and simplify encoder hardware implementation.The proposed approach provides a higher coding gain in the Rayleigh fading channel.The simulation results in the Rayleigh fading channel show that the bit error rate(BER) performance of the proposed time-frequency codes is as good as random LDPC-OFDM codes and is better than Tanner LDPC-OFDM codes under the condition of different fading coefficients.     

BPR与信息技术

信息技术的发展是企业管理革命的催化剂 ,由此而来的 BPR推动了企业经营模式的彻底变革 .BPR需要信息技术的强有力支持 ,才能完成变革的目的 ,实现企业的愿景 .反之 ,信息技术的应用也只有在 BPR思想的指导下 ,才能避免误入“黑洞”,打破信息弧岛、真正实现资源的共享 .惟有先进的信息技术与 BPR思想相结合 ,双向驱动、相辅相成 ,才能达到再造运作流程、优化企业经营模式、提高企业竞争能力的目的 .     

企业规划与信息系统规划目标统一建模

目标统一性是企业规划和信息系统规划关系研究的核心内容之一。通过规划活动目标的一致性，企业可以整合有效资源，节约成本，实现高效运营。论文研究了面向目标的建模技术和思想，利用企业知识开发建模思路给出了目标统一的规划框架模型，并且在实现途径、方法等方面提供了解决方案。     

IT绩效影响与组织规模调节效应:来自机械行业的实证分析

信息化浪潮为传统制造业发展提供了机遇和挑战. 但是, 如何描述和测量信息化投入对组织绩效的影响, 一直是困扰国内外相关领域研究者和实践者的重要问题. 研究构建了一个概念模型, 尝试探索信息化基础建设、 专项业务应用和协同集成等信息化行动模式对组织绩效的影响, 以及组织规模变量的调节效应. 基于重型机械行业企业的调查数据, 研究运用结构方程模型进行了实证分析, 并探讨了分析结果的理论价值及对信息化建设路径选择的实践意义.     

Cooperation,power, and the impact of information systems

Imagination suggests that the computer as a communication tool is potentially a significant factor in enhancing cooperative work, especially where the participants are located over a physical or temporal distance. Implementation of innovative information technology offers enhancement of operational efficiency to an enterprise in a turbulent business environment. Communications and decision making are inseparable. Industrial democracy (ID) is a particular arrangement of decisionmaking power where decision makers have to be informed and decisions have to be communicated. Cooperation implies a redistribution of power and the weakening of the traditional management organizational heirarchy. Cogently, this effect is mirrored by the potential of management information systems to redistribute information and, hence, power within an enterprise. The response of traditional management personnel to the threat of information technology (IT) to established positions of authority, is one of defense. Conventional systems analysis is unsuited for the design task of ID information systems. The methods employed by systems analysis preserve or reproduce the formal hierarchical structure of managerial organization. Soft systems methodology is explored as a means of confronting the sociopolitical factors present in the specification of information systems for an ID.     

企业集成的评价准则

就企业集成的概念、作用及现有的企业集成框架进行了讨论,将企业集成定位于辅助决策者作出正确的决策。同时就企业集成的组织和功能,包括将活动、决策、资源和信息流整合到一个统一的系统中,以及企业集成的评价准则进行了探讨。在参考其他类型信息系统评价准则的基础上,从集成与扩展能力、表达能力和决策支持能力等方面给出企业集成的评价准则。     

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。     

基于并行工程的中药制造企业业务过程建模

通过IDEF0(ICAM Definition)建模方法,分析评价了中药制造企业现有业务流程,基于并行工程的思想,提出了集成并行的业务过程模型,并用于指导某企业的经营和运行.     

面向新型成像卫星自主任务规划系统设计

随着成像卫星硬件水平的提高,其应用目标也有了更高的要求。因为复杂的约束、难以预测的状态信息以及繁杂的需求种类,卫星任务规划问题一直是系统工程领域的难点问题之一。为更好地适应新的应用环境并满足不同用户的需求,设计了自主卫星任务规划系统。其包括星上与地面两个子系统,各子系统中均包含若干模块,分别实现不同的功能并协同完成某些复杂任务。基于对需求分析,整理出了卫星的应用场景、主要模块和关键技术。通过对两套系统的仿真结果比较,论证了该系统框架的可行性与优化效率,并为未来卫星任务规划系统的设计提供了思路。     

基于信息技术的组织模式变革

从组织模式变革的概念入手,首先详细论述了有关组织变革的主要内容,分析了变革的两种战略方法：ＴＱＭ 和ＢＰＲ． 围绕信息技术与组织变革的关系进行了深入探讨,提出了新时代的组织结构设计和运行需要各种信息技术支持的观点;另一方面随着信息技术在企业中的深入应用,它对组织的各方面属性也产生了显著影响． 最后,提出将现有的组织变革方法——ＩＳＰ、ＴＱＭ 与ＢＰＲ紧密集成起来,形成一种具有更大综合效益的变革策略．