Interactive visualization of very large data sets remains a challenging problem to the visualization community. One promising solution involves using adaptive resolution representations of the data. In this model, important regions of data can be selected using either error analysis or by allowing the scientist to interactively zoom to important phenomena. Regions of interest are rendered in hi...

Physically-based synthesis of high quality imagery, including global illumination light transport phenomena, results in a significant workload, which makes interactive rendering very challenging task. We propose VPL-based ray tracing approach that runs entirely the GPU and achieves frame rates while handling phenomena. This is based on clustering both shading points VPLs computing visibility on...

Blending is a classical and well-known optimization problem that has been applied in the food, steel, composite material industries. However, tea blending more complicated than general problems due to variety of products, processes, sources raw materials semi-products. So, this research, fuzzy multi-objective model for was proposed minimize total production cost deviation quality target score; ...

Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is extremely challenging. In this paper, we proposed a novel GPU-based Interactive Super-Resolution system through Neighbor Embedding (ISRNE). Random projection tree (RPtree) with manifold sampling is employed to reduce t...

In this paper, we study the finitely many constraints of the fuzzyrelation inequality problem and optimize the linear objectivefunction on the region defined by the fuzzy max-product operator.Simplification operations have been given to accelerate theresolution of the problem by removing the components having noeffect on the solution process. Also, an algorithm and somenumerical and applied exa...

The main objective of this research is to study the potential of different soft classification algorithms to determine subpixel composition for shoreline mapping. Sub-pixel composition information is an important element in determining the accuracy of shoreline maps based on subpixel analysis. This allows the shoreline to be mapped within image pixels producing an accurate and realistic predict...

This work addresses the problem of spatial reference estimation in mobile scenarios. Novel techniques based on fuzzy logic are introduced to enhance the performance of a trackmg system. Specifically, the model-free function approximation capability of fuzzy logic is used to obtain high resolution angle estimates from the spatial spectral density. These estimates are used to improve the resoluti...

Irrepressible growth of complex interconnectedness of information systems besides its obvious benefits unfortunately brought up the questions of their vulnerability. Practically universal access to computers has enabled hackers and would-be terrorists to attack information systems and critical infrastructures worldwide. Fuzzy preference relation, based on fuzzy satisfaction function is applied ...