The conventional polyphase architecture for linear-phase finite impulse response (FIR) filter loses its coefficient symmetry property due to the inefficient arrangement of the filter coefficients among its subfilters.Although, existing polyphase structures can avail the benefits of coefficient symmetry property, at the cost of versatility and compl
A machine learning NOx emission model for SCR system considering mechanism knowledge and catalyst deactivation
In this work, an adaptive NOx emission model is proposed for a SCR system of a 660 MW utility boiler.First, 3-years operating data was collected from the plant SIS system as raw data, which was then filtered using the R-statistic method and clustered by the condensed nearest neighbor (CNN) rule to form a classified steady-state database.In addition
Education legislation in the context of socio-economic development and national security strategies
The subject of the study is the assessment of certain aspects of education legislation in the context of socio-economic development and national security strategies.Education is one of the most powerful long-term tools for socio-economic development and national security.This is due to the socio-cultural and information environment of involving gov
Transfer and Association: A Novel Detection Method for Targets without Prior Homogeneous Samples
A primary problem faced during previous research was the gap in limited and unbalanced quantity of prior samples between computer classification tasks and targeted remote sensing applications.This paper presents the fusion method to overcome this limitation.It offers a novel method based on knowledge transfer and feature association, a strong combi