Low Reynolds number uid ow past a cylindrical body of arbitrary shape in an unbounded, two-dimensional domain is a singular perturbation problem involving an innnite logarithmic expansion in the small parameter ", representing the Reynolds number. We apply a hybrid asymptotic-numerical method to compute the drag coeecient, C D , and lift coeecient, C L , to within all logarithmic terms. The hyb...

stage-specifci developmental forms of lesihmania major promastigotes were grown in vitro. procyclic and metacyclic promastigotes were cultured and separated by peanut agglutinin. the axenic amastigote form were prepared by culturing the promastigotes in acidic medium at 35c.these three forms of parasites were used as antigens to study cytokine production in whole blood culture of healthy indivi...

In this paper, we propose a new logarithmic filter grouping which can capture the nonlinearity of filter distribution in shallow CNNs. Residual identity shortcut is incorporated with the filter grouping to enhance the performance of shallow networks. The proposed logarithmic filter grouping is evaluated using a compact CNN structure with logarithmic group convolution modules which are composed ...

Energy consumption in commercial and educational buildings is impacted by group activities such as meetings, workshops, classes and exams, and can be reduced by scheduling these activities to take place at times and locations that are favorable from an energy standpoint. This paper improves on the effectiveness of energy-aware room-booking and occupancy scheduling approaches, by allowing the sc...

This paper describes a library of parameterized arithmetic operators for manipulating high-dynamic numbers on FPGA. It support both floating-point and logarithmic representations. Along with its direct interest, that library allow application-specific comparisons of those two number representation systems. It is unbiased in the sense that it tends to reflect the state-of-the-art for both number...

Independent analyses using Fisher information, optimal filtering, and information theory show that matched filtering images with hypothetical patterns in the logarithmic domain provides an optimal method for pattern recognition in the presence of signal-dependent noise arising from complex Gaussian fluctuations in the received fields. This provides a mathematical justification for the use of lo...

Perturbation of logarithmic conformal field theories is investigated using Zamolodchikov’s method. We derive conditions for the perturbing operator, such that the perturbed model be integrable. We also consider two examples where integrable models arise out of perturbation of known logarithmic conformal field theories.