时变RLC网络瞬态分析的一种新方法

本文基于电路理论和数值积分算法,导出了时变LC元件关于任何隐式积分算法的通用伴随离散电路模型,提出了时变RLC网络瞬态分析的一种新方法.采用这种方法,时变网络的瞬态分析便可简化为定常电阻性网络的直流分析,从而可以直接将定常电阻性网络直流分析的成果应用于时变网络的瞬态分析之中.     

浅析LEO卫星网络中的QoS路由问题

LEO卫星网络能够提供全球覆盖,为任何地点的用户提供适时应用服务。然而由于LEO的高速运动,LEO卫星网络的网络拓扑一直处于动态变化的过程中。文中首先分析了在这种动态变化的网络环境中QoS路由面临的新问题,接着提出了解决这些问题的几点考虑。     

一种新型调宽功放电路

本文给出一种新型调宽功率放大电路并从理论上进行详细分析。     

从经济学视角看强制性信息披露

高质量的信息披露是资本市场有效运行的基础,而信息公共物品的性质、信息不对称现象、信息供给的自然垄断性造成的市场失灵及信息披露方和使用方之间的博弈,使得上市公司信息披露监管成为必需.因此,构建以强制性信息披露为主,自愿性信息披露作为补充的信息披露机制才是提升我国上市公司信息披露质量的根本之策.     

关于工作分析中员工恐惧问题的探讨

工作分析是人力资源管理的基础工作，操作性强。实践中遇到的问题较多，员工恐惧问题尤为突出。本文将对工作分析中员工恐惧的表现形式、原因以及对工作分析的影响进行分析，并提出解决方案，供工作分析实施者参考。     

基于计算机数据分析的品牌价格平衡模型

随着计算机网络与通信技术的发展，信息技术在市场预测模型中的应用越来越广泛。基于计算机数据分析的品牌价格平衡模型（Brand Price Trade-Off），成为国外目前最为成功的一种在模拟竞争环境下测试品牌价格策略的高级研究技术。     

An enhanced approach for Trend Impact Analysis

Decision makers in governments, corporations and institutions all need to forecast the future. Usually, traditional quantitative forecasting techniques are applied for this purpose. But the limitation of such methods is well known since all quantitative methods that are built solely on historical data (whether time-series or causal methods) produce forecasts by extrapolating such data into the future ignoring the effects of unprecedented future events that could cause deviation from the original surprise-free forecast if they were to occur. In the meanwhile, pure qualitative methods that don't utilize historical data miss its sound foundation. In the field of future studies, attempts are often made to combine quantitative and qualitative approaches using various hybrid methods such as Trend Impact Analysis. This paper introduces an advanced algorithm to enhance Trend Impact Analysis that adds another level of sophistication to the current algorithm. This advanced algorithm takes into account not only the impact of unprecedented future events' occurrences on the future trend, but also the different severity degrees with which the event might occur. This idea of severity degrees is novel, and its implementation is the main contribution of this paper.     

我院科研工作现状分析及其发展趋势研究

本文分析了我院近年来科研活动的基本规律与科研队伍的构成及其特点,在此基础上,对我院科研工作的发展趋势进行了探讨,明确了科研工作在我院可持续发展中的作用,并对我院科研队伍的培养和科研质量的提高提出了建设性意见.     

企业财务分析中应该注意的几个问题

本文针对传统的财务分析无法满足不同信息需求者的情况，结合实际提出了应当注意的几个方面。     

A new clustering methodology for the analysis of sorted or categorized stimuli

This paper introduces a new stochastic clustering methodology devised for the analysis of categorized or sorted data. The methodology reveals consumers' common category knowledge as well as individual differences in using this knowledge for classifying brands in a designated product class. A small study involving the categorization of 28 brands of U.S. automobiles is presented where the results of the proposed methodology are compared with those obtained from KMEANS clustering. Finally, directions for future research are discussed. Wayne S. DeSarbo is the S. S. Kresge Distinguished Professor of Marketing and Statistics, and Michael D. Johnson is Associate Professor of Marketing, both at the University of Michigan's School of Business Administration. Kamel Jedidi is Assistant Professor of Marketing at Columbia University's Graduate School of Business. The authors gratefully acknowledge DuPont Incorporated for providing financial support for this research.