In this paper we pay attention to the preprocessing of time series and its application. We apply Empirical Mode Decomposition (EMD) to decompose three kinds of series into their components in order to study the data and forecast more efficiently. We try to unite EMD analysis and autoregressive integrated moving average processes (ARIMA) into a new forecasting technique which we call EMD-ARIMA. We find that our method is extraordinarily close to the original data.

Whether the traditional ornament art or avant-garde ornament works, expresses the perception and thoughts of designer by Shapes and colors which assisted by a variety of materials. Along with the development of modern art, ornament art of personal image design starts the "modernization" revolution. Especially the applications of new materials and new technologies, have great impact on the designs of ornament, and also give scope to the development of the pattern of ornament. Modern ornament surmounts various limitations of technique and materials of traditional ones. The method of mordern ornaments innovate on account of the variety of materials. The new patterns attempt to combine and mix different materials, transform and process junk. All of the above increase new ideas of designs of ornament.