Panji Nursetia, S.Kom

panji-nursetiaPanji Nursetia Darma was graduated from Computer Science Mayor, Gadjah Mada University, Yogyakarta as bachelor degree. In 2011, he attend on Innovation Management Training at Stuttgart, Germany. He currently works as researcher at Center for High Performance Computing, C-TECH Laboratory, Edwar Technology Co. His research interests are in parallel programming, image processing and software engineering.

Publications:

On the Development of Integrated Real Time Data Acquisition and Volume Data Processing Software for ECVT
Abstract—A dynamic volume imaging of dielectric materials based on the principle of electrical capacitance volume tomography (ECVT), has been widely used in different fields including oil refinery systems, chemical processes, space shutles and medicals. The technique generates, a whole reconstructed¬† volumetric image of the region enclosed by the geometrically three-dimensional capacitance from the measured sensor. However, the data acquisition and data processing of the ECVT is done on separate applications, which makes a real time measurement and visualization cannot be achieved. This paper will describes design and development of an Integrated Data Acquisition and Data Processing application for ECVT. The application implements data acquisition and data processing in one platform. Further, the designed software also provides parallel implementation of the image reconstruction to speed up the image reconstruction. Presented on Asia Pasific Conference on Aided System and Software Engineering, Bali 2014

3D Parallel Image Velocimetry Using ECVT
Abstract—In this report, a parallel particle image velocimetry (PIV) computation based on electrical capacitance volume tomography (ECVT) data is introduced to speed up computation time.The ECVT has been developed earlier to generate volumetric image of multi-phase flows, the problem of the previous technique is it took a long time to complete all the computational process. Comparison results showed considerable improvement on the computational speed of the proposed technique.