Ubiquitous Computing in Financial Forecast and Early Warning

Yuan Wan, Hengqing Tong, Jingtang
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Abstract

Establishing reliable financial forecast and early warning systems is important to protect economy from the financial crisis and to weaken its influences. In order to implement forecast and early warning of complex system by use of simple models, we presented a lag-cointegration method which obtained good result for CPI forecast. For the purpose of information sharing, we developed a new system with data warehouse. This new system combines software and hardware, using technologies such as reflective middleware UIC, fingerprint recognition, and acceptable sound and video terminal. It makes users possible to obtain the transparent network service via any facility and any network at any time In other words, the service can be ubiquitous. Meanwhile, when users share the information, this system eliminates the danger of privacy betraying under the circumstance of human-computer interaction.
泛在计算在财务预测和预警中的应用
建立可靠的金融预测和预警系统对于保护经济免受金融危机的影响并削弱其影响具有重要意义。为了利用简单模型实现对复杂系统的预测预警,提出了一种滞后协整方法,并取得了较好的CPI预测效果。为了实现信息共享,我们开发了一个带有数据仓库的新系统。该系统采用了反射中间件UIC、指纹识别、可接受音视频终端等技术,软硬件相结合。它使用户可以通过任何设施、任何网络在任何时间获得透明的网络服务,也就是说,服务可以无处不在。同时,在用户共享信息时,该系统消除了人机交互环境下隐私泄露的危险。
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