{"title":"Ubiquitous Computing in Financial Forecast and Early Warning","authors":"Yuan Wan, Hengqing Tong, Jingtang","doi":"10.1109/ICICSE.2008.49","DOIUrl":null,"url":null,"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.","PeriodicalId":333889,"journal":{"name":"2008 International Conference on Internet Computing in Science and Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Internet Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2008.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.