Thermo vision are used in military, police custom traffic control, industrial and other specific applications for collecting and processing thermo visual information from infrared images. There is a problem in the steps of implementation of the developed methods and algorithms for infrared image processing in real time practical applications of thermo vision systems. Here is proposed to exploit...

Four-dimensional (4D) ultrasound imaging extends the real-time capability of ultrasound to visualize a realtime volume that can be manipulated by the sonographer. Among the different visualization methods, surface rendering is a common mode for displaying volumetric datasets such as in obstetrical applications. A challenge in this mode is that surface shading is required to visualize the surfac...

This paper presents a comparison of OpenMP and OpenCL based on the parallel implementation of algorithms from various fields of computer applications. The focus of our study is on the performance of benchmark comparing OpenMP and OpenCL. We observed that OpenCL programming model is a good option for mapping threads on different processing cores. Balancing all available cores and allocating suff...

Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation, but using them for general computing tasks can be a difficult and tedious endeavor. We have created a graphical language called Chestnut that simplifies the process of programming on the GPU. The graphical environment is supported by a readable backend language that can be translated into GPU-ready code...

Interactive computer music systems pose new challenges for audio software design. In particular, there is a need for flexible run-time reconfiguration for interactive signal processing. A new version of Aura offers a graphical editor for building fixed graphs of unit generators. These graphs, called instruments, can then be instantiated, patched, and reconfigured freely at run time. This approa...

This article reviews recent advances in missing data research using graphical models to represent multivariate dependencies. We first examine the limitations of traditional frameworks from three di...