We propose a kinematic wave-based Deep Convolutional Neural Network (Deep CNN) to estimate high-resolution traffic speed fields from sparse probe vehicle trajectories. introduce two key approaches that allow us incorporate wave theory principles improve the robustness of existing learning-based estimation methods. First, we an anisotropic kernel for CNN. The explicitly accounts space-time corre...

Introduction we aimed to introduce a 6-universal-prismatic-spherical (UPS) parallel mechanism for the human jaw motion and theoretically evaluate its kinematic problem. We proposed a strategy to provide a fast and accurate solution to the kinematic problem. The proposed strategy could accelerate the process of solution-finding for the direct kinematic problem by reducing the number of required ...

This article shows that time derivatives of twists and wrenches are indeed screws, in contrast to many classical kinematicians’ believe. Furthermore, it is proven that the “centripetal screw,” as well as the momentum of a rigid body together with all its derivatives, are also screws, and that a rigid body’s dynamics can be geometrically expressed as a screw equation. The paper relies on a somew...

The 3D finite difference modeling of the wave propagation of M>8 earthquakes in subduction zones in a realistic-size earth is very computationally intensive task. We use a parallel finite difference code that uses second order operators in time and fourth order differences in space on a staggered grid. We develop an efficient parallel program using message passing interface (MPI) and a kinemati...

MgB(pnpn ) 2 is classified as a system with strongly interacting σelectrons and non-correlated π-electrons of boron ions. The kinematic and Coulomb interaction V between the orbitally degenerated σ-electrons provide the superconducting state with an anisotropic gap of s*-wave symmetry. The critical temperature Tc has a non-monotonic dependence on the distance r between the centers of gravity of...

This paper shows, with experimental traffic data from a 4-mile long congested road, that traffic delays and vehicle accumulations between any two generic observers located inside the road section can be predicted quite accurately from the traffic counts measured at the extremes of the section. Predictions can be made with a streamlined version of the kinematic wave theory that does not rely on ...

The duration of diastole can be defined in terms of mechanical events. Mechanical diastolic duration (MDD) is comprised by the phases of early rapid filling (E wave), diastasis, and late atrial filling (A wave). The effect of heart rate (HR) on diastolic duration is predictable from kinematic modeling and known cellular physiology. To determine the dependence of MDD of each phase and the veloci...

For centipedes moving steadily on a treadmill at speeds of 0.5, 1.0 and 1.5 L s-1, where L is body length, we obtained video tapes of movement that were synchronized with electromyograms (EMGs) from lateral flexor muscles at six standardized longitudinal positions. Field-by-field analysis of video tapes revealed posteriorly propagated waves of bending at all speeds. Muscle activity was also pro...

The rational method is derived as a special case of kinematic wave flow. The definition of runoff coefficient is expanded from the flow-based ratio into volume-based ratio between the volumes under runoff hydrograph and rainfall hyetograph. The new method presented in this paper provides a dimensionless approach to theoretically derive the runoff coefficients for both the conventional two-flow ...

We present a theoretical study of superconductivity of polarons in the Hubbard-Holstein model. A residual kinematic interaction proportional to the square of the polaron hopping energy between polarons and phonons provides a pairing field for the polarons. We find that superconducting instability in the dwave channel is possible with small transition temperatures which is maximum in the large t...