运用反馈信息卡片进行挺身式跳远技术教学的研究

鉴于田径教学中普遍采用的常规技术教学方法存在着对反馈信息运用不够的缺陷,笔者在挺身式跳远技术教学中运用反馈信息卡片进行了实验研究.研究结果表明,运用反馈信息卡片进行教学有利于发挥教师在教学中的主导性和学生的主体性;有利于促进教学过程中反馈信息的流动、交换和储存;有利于促进学生对运动技术的掌握,提高运动技能,激发学习兴趣,提高教学效果.     

Business failure prediction using decision trees

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high‐profile companies in the recent past. Consequently, a significant interest has been generated in business failure prediction within academia as well as in the finance industry. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have traditionally been the most popular approaches, but there are also a range of promising non‐parametric techniques that can alternatively be applied. In this paper, the relatively new technique of decision trees is applied to business failure prediction. The numerical results suggest that decision trees could be superior predictors of business failure as compared to discriminant analysis. Copyright © 2009 John Wiley & Sons, Ltd.     

Retail default prediction by using sequential minimal optimization technique

This paper employed sequential minimal optimization (SMO) to develop default prediction model in the US retail market. Principal components analysis is used for variable reduction purposes. Four standard credit scoring techniques—naïve Bayes, logistic regression, recursive partitioning and artificial neural network—are compared to SMO, using a sample of 195 healthy firms and 51 distressed firms over five time periods between 1994 and 2002. The five techniques perform well in predicting default particularly one year before financial distress. Furthermore, the prediction still remains sound even 5 years before default. No single methodology has the absolute best classification ability, as the model performance varies in terms of different time periods and variable groups. External influences have greater impacts on the naïve Bayes than other techniques. In terms of similarity with Moody's ranking, SMO excelled over other techniques in most of the time periods. Copyright © 2008 John Wiley & Sons, Ltd.     

分布式结构及其使用技术的研究

研究分布式结构的相关理论，给出分布式结构的涵义，讨论分布式结构的优点与商业效益，并研究分布式结构所使用的技术要点．     

浅析我国商业银行信贷风险管理

目前我国商业银行的主要收益来源于信贷业务,信贷风险是银行首先要考虑的主要风险。通过优化信贷风险管理流程,强化信贷风险责任考核机制和培养浓厚的信贷风险文化等途径可以加强我国商业银行的信贷风险管理。     

基于校园一卡通挖掘图书馆信息服务潜力

介绍了校园一卡通的概念,概述了图书馆一卡通应用环境的构建,重点论述了一卡通在图书馆信息服务潜力挖掘中发挥的重要作用。     

基于IIS6．0的FTP服务器的安全及防护措施

针对FTP服务器的攻击越来越多，FTP的重要性和使用的频繁性，以Windows2003系统IIS6．0架设的FTP服务器，IIS自身及其默认设置存在很多安全性问题．从FTP工作模式、Windows2003系统及IIS的设置等方面，详细阐述了如何加固FTP服务器．实践证明，保障了FTP服务器的安全运行．     

Dempster-Shafer （D-S） algorithm with credit scale in spectrum sensing

In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer (D-S) algorithm with credit scale for decision fusion in spectrum sensing is proposed for the purpose to improve the performance of detection in cognitive radio. The validity of this method is established by simulation in the environment of multiple cognitive users who know their signal to noise ratios (SNR) and a central node. The channels between the cognitive users and the central node are considered to be additive white Gaussian noise (AWGN). Compared with traditional data fusion rules, the proposed D-S algorithm with credit scale provides a better detection performance.     

浅析企业产品质量管理

产品质量决定企业经济效益,关系到企业的兴衰成败。通过分析影响产品质量的因素,提出了提高企业产品质量的途径。     

机房管理与维护的策略

 机房的管理维护工作是信息技术教学的重要环节，结合我校工作实际，提出了一套切实可行的机房管理与维护方案，从而保障各设备系统的高效运行.