In order to reduce energy consumption and protect the human survival environment, the lightweight has became the development trend of the world automobile industry. On the premise of ensuring the strength, safety and ...In order to reduce energy consumption and protect the human survival environment, the lightweight has became the development trend of the world automobile industry. On the premise of ensuring the strength, safety and driving performance of the car, the major car enterprises try to reduce the curb weight of the ear, fuel consumption and emissions. Not only a lot of new technologies and new products have been generated, but also joint vehicle development process and computer aided engineering （CAE） analysis technology have been developed. Since the entry into the ＂Au- tomobile Lightweight Technology Innovation Strategic Alliance＂ in Dec. 2007, Geely Group has been focusing on light- weight construction of vehicle and key assemblies in every stage of the vehicle product development. Among vehicles ap- peared on the market and in research, it has presented continuously better performance. The paper describes application examples and successful experience of CAE simulation analysis and performance optimization during the lightweight de- sign and development of a self-developed model of Geely, and looks forward to the prospects for the development of lightweight of Geely vehicle.展开更多
Forecasting exchange rate is undoubtedly an attractive and challenging issue that has been of interest in different domains for many years. The singular spectrum analysis （SSA） technique has been used as a promising...Forecasting exchange rate is undoubtedly an attractive and challenging issue that has been of interest in different domains for many years. The singular spectrum analysis （SSA） technique has been used as a promising technique for time series forecasting including exchange rate series. The SSA technique is based upon two main choices： Window length, L, and the number of singular values, r. These values are very important for the reconstruction stage and forecasting purposes. Here the authors consider an optimum version of the SSA technique for forecasting exchange rates. The forecasting performances of the SSA technique for one-step-ahead forecast of six exchange rate series are used to find the best L and r.展开更多
基金Supporting Program of the"Twelfth Five-year Plan"for Sci & Tech Research of China(No. 2011BAG03B02No.2011BAG03B06)
文摘In order to reduce energy consumption and protect the human survival environment, the lightweight has became the development trend of the world automobile industry. On the premise of ensuring the strength, safety and driving performance of the car, the major car enterprises try to reduce the curb weight of the ear, fuel consumption and emissions. Not only a lot of new technologies and new products have been generated, but also joint vehicle development process and computer aided engineering （CAE） analysis technology have been developed. Since the entry into the ＂Au- tomobile Lightweight Technology Innovation Strategic Alliance＂ in Dec. 2007, Geely Group has been focusing on light- weight construction of vehicle and key assemblies in every stage of the vehicle product development. Among vehicles ap- peared on the market and in research, it has presented continuously better performance. The paper describes application examples and successful experience of CAE simulation analysis and performance optimization during the lightweight de- sign and development of a self-developed model of Geely, and looks forward to the prospects for the development of lightweight of Geely vehicle.
基金supported by a grant from Payame Noor University, Tehran-Iran
文摘Forecasting exchange rate is undoubtedly an attractive and challenging issue that has been of interest in different domains for many years. The singular spectrum analysis （SSA） technique has been used as a promising technique for time series forecasting including exchange rate series. The SSA technique is based upon two main choices： Window length, L, and the number of singular values, r. These values are very important for the reconstruction stage and forecasting purposes. Here the authors consider an optimum version of the SSA technique for forecasting exchange rates. The forecasting performances of the SSA technique for one-step-ahead forecast of six exchange rate series are used to find the best L and r.
