Earthquakes are natural disasters caused by an unexpected release of seismic energy from extreme levels of stress within the earth’s crust. Over the years, earthquake prediction has been a controversial research subject that has challenged even the smartest of minds. Because numerous seismic precursors and other factors exist that may indicate the potential of an earthquake occurring, it is ext...

1 ffA, Generator Studios, Trafalgar Street, Newcastle upon Tyne NE1 2LA, UK. * Corresponding author, E-mail: [email protected] Abstract Interpretation of geological features in seismic data is a subjective process, relying on one’s visual perception and experience built up over several years. Based on these human factors, financial decisions are made that may have serious consequences...

An application of a wavelet transform and a Bayesian statistical method to seismic event detection and classiication has been studied using data from the New England region. A wavelet expansion forms a new basis set for picking out, from a data stream, important features of a seismic event: time, energy and predominant period of the rst, peak and last waveforms. From these informative features ...

Ž . A combination of ground penetrating radar GPR and seismic imaging has been performed in a gypsum quarry in western Europe. The objective was to localize main cracks and damaged areas inside some of the pillars, which presented indications of having reached stress limits. The GPR imaging was designed from classical profiles with GPR processes and a customized, PC-based image-processing softw...

most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. to solve the problem, this paper utilizes zernike moment (zm) and pseudo zernike moment (pzm) to extract object contour features in all situations such as rotation, scaling and shifting of object i...

Any small environmental changes in the driving environment of a traffic vehicle can become risk factor directly leading to major safety incidents. Therefore, it is necessary assist drivers automatically detecting factors during process using algorithms. However, besides making more difficult for judge changes, performance automatic detection networks low illumination scenarios also be greatly a...