Search

This research is basically to investigate the effectiveness and efficiency of drone sensor application. Drones, which are a kind of remotely piloted aircraft system (RPAS) or unmanned aircraft system (UAS), can take a real-time visual recording, surrounding the targeted area and upload all the visual dataset into a system (VAL-Dr1) to be analysed. The dataset will be analysed based on visual analytics approach whereby the captured images will be manipulated and presented in visual aid form in order to enhance the visualization of operator. The analysis of data will also be as input to the process of prediction in the next phase. The aim of this study is to evaluate, create, and test a new method (VAL-Dr1), methodology, and measurement that will allow for a rapid reduction of alleged mine-polluted areas and quality control after cleaning. Drones and sensors can be used as supporting hardware in the system, which can manipulate the Geographical Information System (GIS). Mine land indicators will be derived from the sensor data. To achieve mine land delineation, the sensor fusion module will combine mine land indications with GIS data. [ABSTRACT FROM AUTHOR]

The proliferation of various laser-driven approaches to sub-picosecond hard X-ray and short-wavelength radiation generation in the past few decades has opened many avenues for the laboratory-based development of traditionally facility-based short wavelength ultrafast molecular structure science. Together with the introduction of microcalorimeter detection schemes, this opens the floodgates to widespread, decentralized implementation of what were until recently specialist short wavelength techniques. A parallel situation exists for the contemporary adoption of sub-wavelength resolution optical microscopies. In what follows, a few ultrafast molecular structure developments and their rationale are briefly recounted. [ABSTRACT FROM AUTHOR]