it is well-known that severe deformation to metals causes a direct grain refinement of the matrix without special heat-treatments due to the mechanism of dynamic continuous recrystallization (dcr). however, the microstructural revolution during severe deformation is seemed to be different depending on the deformation mode, namely the direction of deformation. in general, multi-directional defor...

The density and polarization profiles of the dipolar hard ellipsoids confined between hard walls are studied using the density functional theory (DFT). The Hyper-Netted Chain (HNC) approximation is used to write excess grand potential of the system with respect to the bulk value. The number density is expanded up to zero and first order in polarization to find the results. For the zero order in...

the density and polarization profiles of the dipolar hard ellipsoids confined between hard walls are studied using the density functional theory (dft). the hyper-netted chain (hnc) approximation is used to write excess grand potential of the system with respect to the bulk value. the number density is expanded up to zero and first order in polarization to find the results. for the zero order in...

In design and analysis, standard references assume the pedestrian flow as unidirectional. In reality however, pedestrian flow is usually bi-directional. The main question pursued in this paper is that whether the main characteristics of pedestrian flow the same under uni- and bi-directional conditions. In order to achieve this goal, effect of bi-directional stream is inv...

It is well-known that severe deformation to metals causes a direct grain refinement of the matrix without special heat-treatments due to the mechanism of dynamic continuous recrystallization (DCR). However, the microstructural revolution during severe deformation is seemed to be different depending on the deformation mode, namely the direction of deformation. In general, multi-directional defor...

Diffuse optical tomography (DOT) is an advanced imaging method used to visualize the internal state of biological tissues as 3D images. However, current continuous-wave DOT requires high-density probe arrays for measurement (less than 15-mm interval) to gather enough information for 3D image reconstruction, which makes the experiment time-consuming. In this paper, we propose a novel DOT measure...

Registration of Diffusion Weighted Images (DWI) is challenging as the data is a composition of both directional and intensity information. In this work, the density estimation framework for image similarity, Locally Orderless Registration, is extended to include directional information. We construct a spatio-directional scale-space formulation of marginal and joint density distributions between...

A nonparametric kernel density estimator for directional–linear data is introduced. The proposal is based on a product kernel accounting for the different nature of both (directional and linear) components of the random vector. Expressions for bias, variance and mean integrated square error (MISE) are derived, jointly with an asymptotic normality result for the proposed estimator. For some part...

In this document a new approach on tuning frequency estimation based on circular statistics is presented. Two methods are introduced: the calculation of the tuning frequency over an entire audio piece, and the estimation of an adapting reference frequency for a single voice. The results for the tuning frequency estimation look very good for audio pieces where the dominant voices are tuned close...