the current study presents the results of the aerodynamic noise prediction of the flow field around a naca 0012 airfoil at a chord-based reynolds number of 100,000 and at 8.4 degree angle of attack. an incompressible large eddy simulation (les) turbulence model is applied to obtain the instantaneous turbulent flow field. the noise prediction is performed by the ffowcs williams and hawkings (fw-...

In this study, the thermal characteristics of turbulent nanofluid flow in a helical tube in the tube heat exchanger (HTTHE) were assessed numerically through computational fluid dynamics (CFD) simulation. The findings of both the turbulent models: realizable k-epsion (k-ε) and re-normalisation group (RNG) k-epsilon were compared. The temperature distribution contours show that realizable and RN...

Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...

background : this study was carried out to evaluate activities in different branches of science in iran compared to other countries over the past 35 years. methods : e ssential science indicators (esi ) and web of science from (thomson reuters isi) and scimago journal & country rank (sjr) were searched for scientometrics data . esi indicated place of iran among other countries in all 22 scienti...

In todays world, health data are being produced in everincreasing amounts due to extensive use of medical devices generating data in digital form. These data are stored in diverse formats at different health information systems. Medical practitioners and researchers can be benefited significantly if these massive heterogeneous data could be integrated and made accessible through a common platfo...

To effectively utilize the growing number of digital media sources in todays electronic world, easy to use computational flexible content-based access is a necessity. In contrast, content-based access must often be based on interpreting results from low-level computationally expensive feature extraction algorithms. We propose a new approach based on dynamic object-oriented Bayesian networks for...