数字校园中教室管理系统的设计与实现

首先介绍目前高校教室资源管理工作所面临的问题,为了满足日益变化的需求,设计和实现多媒体教室管理系统来解决相应问题。其次,提出了多媒体教室管理系统设计的需求,并且着重介绍了开发过程中遇到的问题及相关的解决方案。用户通过本系统可轻松地查询到所需教室的使用信息,提高了管理水平和效率,并实现借用过程的信息化。     

基于B/S与C/S的教室管理系统设计与实现

针对手工状态下教室借用过程中出现的问题,采用用例图分析了用户需求,设计了一个模块化的教室管理系统,并对数据库进行了设计。该系统采用ASP.NET2010作为前台开发平台,SQL2005作为后台数据库,该系统安全性强、工作效率高,已在江苏科技大学投入使用。     

基于Web的图形化教室预约状态表的实现

为了使人机界面形象化,易操作,设计了图形化的教室预约状态表。给出教室预约状态表缓存结构和算法流程,详细分析了教室预约状态表生成程序关键函数的实现代码。     

网络环境下高校自动排课系统中教室安排算法的设计与分析

自动排课系统在高校教学管理中处于重要位置，也是一个难题。本文设计了一种高校自动排课系统中教室安排算法，对算法中四类不同的教室安排方式结果的合理性和效率进行了详细地比较和分析，设计并实现了高校教室安排与管理系统。     

一种简单实用的多媒体教室的设计及应用

介绍了一种投资少、收效高，以投影为主的多媒体教室的设计，并对运用此类多媒体教室进行教学的方法进了深入探讨。     

基于远程教育环境下多媒体直播教室的建设

随着现代远程教育技术的发展，多媒体教室的功能大大增强，从原来对信息的简单接收发展为对信息进行远程传送，多媒体直播教室就是基于这样的环境诞生的。本文对远程教育环境下多媒体直播教室的功能进行分析，提出在现有的校园网、闭路电视网、卫星电视网以及双向视频教学系统环境下，多媒体直播教室在设备配置、结构布局等方面的建设意见。     

基于物联网结构的智慧教室建构的研究

针对智慧教室智慧性要求,结合高职现有多媒体教室、理实一体化机房、智能录播室建设基础,提出了基于物联网结构的智慧教室建构体系,并从智慧教室建构原则、功能、基于物联网的架构体系等方面进行设计,给出了基于物联网三层结构的智慧教室架构,对感知层智慧场所设备、网络层通信服务和网络协议、应用层系统总控和对外继承等方面,进行明确说明和设计,对物联网智慧教室建设方案给出了几点建议,该建构体系更适合高职院校进行智慧教室建设。     

多媒体教室管理系统设计与开发

本文结合多媒体教室维护与管理实际,设计开发了多媒体教室管理系统。该系统实现了多媒体教室信息查询,故障报修,设备管理等一系列操作,实现了维护与管理的信息化,提高了工作效率及人员的工作水平。     

基于物联网的高校教室照明节能方案研究

将物联网技术应用于传统照明,设计一种高校教室智能照明系统。该系统包含监控层、网络层和设备层,可实现探测照明状况、分发信息、控制灯具,并且运行于服务器的监控软件远程监控照明状况的功能。通过物联网技术实现自动控制教室照明灯,解决了高校教室长明灯现象,从而达到节能的目的。     

云环境下虚拟多媒体教室的构建

目前国内高等院校的多媒体教室,使用过程中存在着资源浪费、维护成本高、更新速度慢等不足,文章针对这一现象,采用云计算技术,设计了基于云环境的虚拟多媒体教室,利用"云平台"进行信息存储,大大降低成本和提高了教学和管理的效能,更好地为现代化的教学提供服务。     

Expert system-user integrated adaptive systems

Many expert systems operate in dynamic environments where various pertinent environmental variables and conditions vary with the passage of time. These environmental variables and conditions may affect both the set of conditions applied to input variables of expert systems and the set of recommendations provided by expert systems. For this reason, expert systems developed according to dynamic structure will generate timely recommendations. To incorporate dynamic characteristics into the structure of expert systems, it is necessary to develop expert systems as adaptive systems. This paper intends to integrate concepts of learning and adaptiveness into expert system technology.

Expert systems used to assist loan officers in improving the decision-making process of commercial loans are typical examples of expert systems that operate in dynamic environments. This paper illustrates that the quality of information provided to loan officers by expert systems may be improved when expert systems are designed as adaptive expert systems.     

The consumer loan default predicting model – An application of DEA–DA and neural network

In this paper we construct the consumer loan default predicting model through conducting the empirical analysis on the customers of unsecured consumer loan from a certain financial institution in Taiwan, and adopt the borrower’s demographic variables and money attitude as the real-timeaneous discriminant information. Furthermore, we construct respectively through four predicting methods, such as DA, LR, NN and DEA–DA, to compare the suitability of these four mentioned methods. The results show that DEA–DA and NN are possessed better predicting capability and they are the optimal predicting model that this study longing for. In addition, this study showed that the default loan predicting model will be possessed higher level of predicting capability after added money attitude.     

决策树算法在农户小额贷款中的应用研究

在讨论数据挖掘技术的基本概念、决策树方法的基础上,针对近年来农村信用社不良贷款的增加,提出了决策树算法在农户小额信用贷款评价中的应用。利用数据挖掘的预测功能,建立了一种较为科学明了,简单易行的农户信用评价模型,来应用于农村信用社对农户信用的评分,以作为贷款与否的依据。     

Monitoring and improving Greek banking services using Bayesian Networks: An analysis of mystery shopping data

Mystery shopping is a well known marketing technique used by companies and marketing analysts to measure quality of service, and gather information about products and services. In this article, we analyse data from mystery shopping surveys via Bayesian Networks in order to examine and evaluate the quality of service offered by the loan departments of Greek Banks. We use mystery shopping visits to collect information about loan products and services and, by this way, evaluate the customer satisfaction and plan improvement strategies that will assist banks to reach their internal standards. Bayesian Networks not only provide a pictorial representation of the dependence structure between the characteristics of interest but also allow to evaluate, interpret and understand the effects of possible improvement strategies.     

基于TF-IDF算法的P2P贷款违约预测模型

针对目前P2P贷款违约预测模型受限于借贷双方信息不对称性,未考虑投资人之间差异性的问题,提出了基于信息检索词频-逆文本频率（TF-IDF）算法的P2P贷款违约预测模型。首先以投资效用理论为基础,利用投资人历史投资收益率、贷款利率出价等信息,建立基于投资人效用的贷款违约预测模型;然后,借鉴信息检索TF-IDF算法,构造投资人逆向投资比例因子,对投资人差异性进行量化度量,优化模型中投资人权重计算因子。实验结果表明,该模型预测准确度与其他模型相比平均提高了6%左右,并在不同的测试数据集上都保持最优。     

计算机信息技术与学科整合在教学中的应用

提出了将先进的计算机信息技术与各学科进行整合，应用到高等职业教育课堂教学的实践中，加强学科软件建设，提高教师对计算机信息技术与各学科整合的应用水平，建立高等职业院校的教学课程信息资源库，建立一支掌握计算机信息技术的教师队伍，将能促进对传统的教学方式和教学方法的根本性改革。     

基于决策树的个人住房贷款信用风险评估模型

在决策树理论的指导下，通过信息增益的应用和公式的构造获取属性重要程度评价值，结合决策树挖掘得到个人住房贷款风险评估模型。经过对该模型进行测试和评价，得出它们预测准确率较高的结论，实现了能够从真正意义上帮助银行信贷人员进行信贷分析并为信贷决策提供支持的模型。同时，该方法对其它评价模型的构造也有一定借鉴意义。     

Information asymmetries and identification bias in P2P social microlending

The Internet has created new opportunities for peer-to-peer (P2P) social lending platforms, which have the potential to transform the way microfinance institutions raise and allocate funds used for poverty reduction. Depending upon where decision-making rights are allocated, there is the potential for identification bias whereby lenders may be motivated to give to specific projects with which they have an affinity without regard to whether it represents a sound financial investment. Using data collected from Kiva, we present empirical evidence that distant upstream lenders do not have adequate information about local business and loan conditions to make sound microfinance funding decisions, but instead make decisions based on identification biases. Furthermore, more information provided on the P2P lending site about the prospective loan does not improve the lender’s information about the loan conditions, but rather exacerbates the identification bias effect.     

银行信贷数据仓库的设计

数据仓库是计算机应用领域的新概念，是近年迅速发展起来的一种管理技术。本文就数据仓库环境及技术特点，探讨了银行信贷数据仓库的设计。