all the producing and assembling processes exert residual stress on the pieces that may lead to structural failure. therefore, calculating the residual stress in such structures has been common in recent years. in this article, distribution of temperature and residual stress resulting from arc welding in three-pass butt joint in p91 austenitic stainless steel pipes is calculated and estimated u...

Weighted linear prediction (WLP) is a method to compute allpole models of speech by applying temporal weighting of the residual energy. By using short-time energy (STE) as a weighting function, the algorithm over-weight those samples that fit the underlying speech production model well. The current work introduces a modified WLP method, stabilised weighted linear prediction (SWLP) leading alway...

In this Paper, we have proposed a new weighted residual method known as orthogonal collocation-based on mixed interpolation (OCMI). Mixed interpolation uses the classical polynomial approximation with two correction terms given in the form of sine and cosine function. By these correction terms, we can control the error in the solution. We have applied this approach to a non-linear boundary valu...

This paper proposes a weighted residual nonnegative matrix factorization (NMF) with spatial regularization to unmix hyperspectral data. NMF decomposes into the product of two matrices. However, is known be generally sensitive noise, which makes difficult retrieve global minimum underlying objective function. To overcome this limitation, we include weighting mechanism in conventional formulation...

Recently, collaborative representation classifiers have been extensively studied as an essential method for hyperspectral image. However, how to comprehensively utilize the classification advantages of multiple has not well investigated. In this paper, two new dynamic ensemble learning methods using local weighted residual (LWR-DEL) and double-weighted (DWR-DEL) multi-collaborative are proposed...