Optimization of turning process is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of present study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of multipass turning process. This algorithm is inspired by competition mechanism among imperialists and coloni...

imperialist competitive algorithm (ica) is a new socio-politically motivated global search strategy. the ica is applied to hybrid composite laminates to obtain minimum weight and cost. the approach which is chosen for conducting the multi-objective optimization was the weighted sum method (wsm). the hybrid composite laminates are made of glass/epoxy and carbon/epoxy to combine the lightness and...

Background: Internal carotid artery (ICA) dissection is one of the most common causes stroke in young patients. Ultrasonographic assessment method choice for early detection. The use conventional technique diagnosis limited since frequently occurs distal portion ICA. Case Report: We describe case a 48-year-old Argentinian woman with malignant cerebral infarction secondary to ICA dissection. dia...

background: role of atherosclerosis  in the pathogenesis of ischemic and hemorrhagic  infarctions is still matter  of debate. intima-media thickness (imt) of the common carotid  artery (cca) and  internal  carotid  artery (ica) are markers of atherosclerosis. the aim of this study was to compare  cca imt and ica imt of patients  with ischemic and hemorrhagic infarction. methods: two equal group...

The detection of transient events related to slow earthquakes in GNSS positional time series is key understanding seismogenic processes subduction zones. Here, we present a novel Principal and Independent Components Correlation Analysis (PICCA) method that allows for the temporal spatial signals. PICCA based on an optimal combination principal (PCA) independent component analysis (ICA) network....

This thesis is about convolutive ICA with application to EEG. Two methods for convolutive ICA are proposed. One method, the CICAP algorithm, uses a linear predictor in order to formulate the convolutive ICA problem in two steps: linear deconvolution followed by instantaneous ICA. The other method, the CICAAR algorithm, generalizes Infomax ICA to include the case of convolutive mixing. One advan...