三价钕与绕丹宁（RACP）及其衍生物二元体系配合物的电位滴定法研究

本文运用电位滴定法与ＴＩＴＦＩＴ程序研究了２９８Ｋ下，三价钕与新型荧光试剂配合物的稳定性，并得出其相应的络合常数。     

Collaborative applications based on the internet

The basic concepts of collaborative applications and some relevant aspects about network communications are introduced. With the examples of some collaborative applications developed by us, several technical problems about collaborative applications, such as loss of data packets, unknown IP address and timedelay, are discussed in detail. And the methods of solving these problems are also provided. Supported by International Cooperation Project (Japan, Jincheng Co. Ltd) Fang Rui: born in 1975, Graduate student     

Ho∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system (NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller (S/C) and from controller to actuator (C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

The Gray Relevancy Research on New Products Output and Science ＆ Technology Resources input in State-owned industrial Enterprises

This paper analyzes the correlativity between new products output and science ＆ technology resources input by the method of Gray Relevancy model, and finds that the spending for new products has greatest correlativity with new products output in large and medium sized state-owned industrial enterprises.     

H_∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller(S/C) and from controller to actuator(C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

C3I系统模型与仿真研究

Ｃ３Ｉ系统是一类复杂大系统,借助模型和仿真手段对其进行研究是唯一的途径。作者将Ｃ３Ｉ系统模型分为本征模型和派生模型两个层次,在此基础上对Ｃ３Ｉ系统模型进行了分类,详细介绍了面向实现、面向过程和面向对象的Ｃ３Ｉ系统本征模型,以及现有的各种仿真模型和仿真方法。     

An interval method for studying the relationship between the Australian dollar exchange rate and the gold price

This paper proposes an interval method to explore the relationship between the exchange rate of Australian dollar against US dollar and the gold price,using weekly,monthly and quarterly data.With the interval method,interval sample data are formed to present the volatility of variables. The ILS approach is extended to multi-model estimation and the computational schemes are provided. The empirical evidence suggests that the ILS estimates well characterize how the exchange rate relates to the gold price,both in the long-run and short-run.The comparison between the interval and point methods indicates that the difference between the OLS and the ILS estimates is increasing from weekly data to quarterly data,since the lowest frequency point data lost the most information of volatility.     

A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity

Company bankruptcies cost billions of dollars in losses to banks each year. Thus credit risk prediction is a critical part of a bank＇s loan approval decision process. Traditional financial models for credit risk prediction are no longer adequate for describing today＇s complex relationship between the financial health and potential bankruptcy of a company. In this work, a multiple classifier system （embedded in a multiple intelligent agent system） is proposed to predict the financial health of a company. In our model, each individual agent （classifier） makes a prediction on the likelihood of credit risk based on only partial information of the company. Each of the agents is an expert, but has limited knowledge （represented by features） about the company. The decisions of all agents are combined together to form a final credit risk prediction. Experiments show that our model out-performs other existing methods using the benchmarking Compustat American Corporations dataset.     

层次分析法中逆序问题与其决策环境的研究

本文研究了层次分析法中的逆序问题与其决策环境的关系,并对产生逆序现象的机理做了数学上的分析和定性的解释。文中还给出了多准则下排序的强保序定理。