thin films of polymer doped with nonlinear optical organic dye, disperse red 1, at thickness of 1 to 2 micrometers, were prepared and studied. in order to induce an axial and orientational alignment of dye molecules within polymer matrix, a contact electric field poling was used. by this process the inherent inversion symmetry in the polymer matrix was eliminated to achieve the desired macrosco...

tourism as a growing industry needs special attention in developing countries. during last decades, nature based tourism has been growing faster than other tourism fields and it seems to grow even faster. ever growing demand for nature based tourism emphasizes the necessity of a holistic planning for preserving environment against degradation. objective of this study is to present a nature base...

Climate change has become a challenge with adverse impacts on the Earth. Reducing the use of fossil fuel is a primary step to solve environmental problems. As the population continues to rise, to meet the growing demand for construction with a large share in energy Consumption, Efforts to make the built environment more energy efficient is crucial. The main objective of this research is to eval...

Traffic flow forecasting is a basic function of intelligent transportation systems, and the accuracy prediction great significance for traffic management urban planning. The main difficulty predictions that there complex underlying spatiotemporal dependence in flow; thus, existing graph neural network (STGNN) models need to model both temporal spatial dependence. Graph networks (GNNs) are adopt...

In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Due to the great deal of spatial and temporal distortions of cloud patterns and because of the sparse three-dimensional nature of cloud observations, standard dense motion field estimation techniques used in computer vision are not well adapted to satellite images. Relyin...

The aim of this work is to propose a model for computing the optical flow in a sequence of images. We introduce a new temporal regularizer that is suitable for large displacements. We propose to decouple the spatial and temporal regularizations to avoid an incongruous formulation. For the spatial regularization we use the Nagel–Enkelmann operator and a newly designed temporal regularization. Ou...

The motion of sea-ice in Antarctica is studied using QuikSCAT scatterometer imagery using methods from computer vision and image processing such as intensity edges and optical flow (OF). Features are computed as differential invariants based on spatial and temporal derivatives various scales. The first estimates of the motion vector field obtained through optical flow are used as the starting p...