Chemical plant designs with heat or material recycle are becoming more common due to economic and environmental reasons. Underperforming control loops in chemical plants may in some cases be attributed to the presence of recycle streams. This is because recycle alters the dynamics of neighboring processes. During commissioning work, when control engineers are tuning control loops, they are ofte...

We present a collective approach to mine Bayesian networks from distributed heterogenous web-log data streams. In this approach we first learn a local Bayesian network at each site using the local data. Then each site identifies the observations that are most likely to be evidence of coupling between local and non-local variables and transmits a subset of these observations to a central site. A...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...

background: autoimmune hepatitis (aih) in childhood has variable modes of presentation, and the disease should be suspected and excluded in all children presenting with symptoms and signs of prolonged or severe acute liver disease. in aih, the liver biopsy histopathology shows inflammation in addition to presence of serum autoimmune antibodies and increased levels of immunoglobulin g (igg). obj...

Linear dynamic response of simply supported nanobeams subjected to a variable axial force is assessed by Galerkin numerical approach. Constitutive behavior is described by three functional forms of elastic energy densities enclosing nonlocal and strain gradient effects and their combination. Linear stationary dynamics of nanobeams is modulated by an axial force which controls the global stiffne...

In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation. If we have some assumptions for such normality for response variable, we could use it. In this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus ...