The latest UPACS can solve not only compressible flows around fuselages but also flows of rotating cascade, very low speed flows, and flows coupled with heat conduction in objects.
Since the liquid layer is always present beneath the slowly-forming object, there is no need to wait for new resin to flow in and the object can be pulled upwards steadily.
To verify our implementation and study the properties of our schemes and their variations, a set of stochastic flow benchmarks are defined including asymmetric Dirac and symmetric lock-exchange flows, lid-driven cavity flows, and flows past objects in a confined channel.
For optical flows in a local window, moving objects have consistent flows while pixels with only turbulence have random flows.
In particular, we sought to go beyond mere phase-locking changes by identifying the dynamic brain network of directed information-flow in activated cortical object representations.
Since the beginnings of computer vision, a diversity of tracking methods have been proposed, some of them construct path and state evolution estimations using a Bayesian framework (e.g., particle filters, hidden Markov models), others measure the perceived optical flow in order to determine object displacements and scale changes (median flow) [1].
We have described the capabilities of BHAC, a new multidimensional general-relativistic magnetohydrodynamics code developed to perform hydrodynamical and MHD simulations of accretion flows onto compact objects in arbitrary stationary spacetimes exploiting the numerous advantages of AMR techniques.
Figure 5 shows the flow using the Object B in Fig. 2. The initial pose of the object on the planery surface, namely ({varvec{p}_B}^s) and ({mathbf {R}_B}^s), is shown in the upper-left plot.
The optical flow-based object detection technique [18, 23 26] uses characteristics of flow vectors of moving objects over time to detect moving regions in an image sequence.
