DocumentCode :
1928353
Title :
Ubiquitous Computing in Financial Forecast and Early Warning
Author :
Wan, Yuan ; Tong, Hengqing ; Tang, Jing
Author_Institution :
Dept. of Math., Wuhan Univ. of Technol., Wuhan
fYear :
2008
fDate :
28-29 Jan. 2008
Firstpage :
15
Lastpage :
18
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.
Keywords :
data privacy; data warehouses; economic forecasting; financial data processing; human computer interaction; middleware; ubiquitous computing; data warehouse; early warning system; economic financial crisis protection; human-computer interaction; information sharing; lag-cointegration method; privacy betrayal elimination; reflective middleware; reliable financial forecast; ubiquitous computing; Alarm systems; Data warehouses; Economic forecasting; Fingerprint recognition; Hardware; Middleware; Predictive models; Protection; Software systems; Ubiquitous computing; early warning; lag-conintegration CPI forecast; reflective middleware; ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3112-0
Electronic_ISBN :
978-0-7695-3112-0
Type :
conf
DOI :
10.1109/ICICSE.2008.49
Filename :
4548225
Link To Document :
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