We predict gravity from a three-dimensional Vp model of the upper crust and compare it to the observed isostatic residual gravity field. In general this comparison shows that the isostatic residual gravity field reflects the density variations in the upper to middle crust. Both data sets show similar density variations for the upper crust in areas such as the Peninsular Ranges and the Los Angel...

1. introduction nowadays, remote sensing is considered as an important subject in many field studies, like agronomy, hydrogeology, mineral exploration, geography and geology. this knowledge has been applied in most of the geological fields. the significant application of remote sensing is preparation of lineament maps that is an important issue in the geological studies. in the remote sensing s...

The paper deals with a model-based fault diagnosis for a DC motor realized using artificial neural networks. The considered process was modelled by using a neural network composed of dynamic neuron models. Decision making about possible faults was performed using statistical analysis of a residual. A neural network was applied to density shaping of a residual, and after that, assuming a signifi...

The demand of self-testing proportionally increases with memory size in System on Chip (SoC). SoC architecture normally occupies the majority of its area by memories. Due to increase in density of embedded memories, there is a need of self-testing mechanism in SoC design. Therefore, this research study focuses on this problem and introduces a smooth solution for self-testing.  In the proposed m...

This paper demonstrates the use of regression tree models to predict the number of faults in a software module based on the software complexity metrics, prior to the testing phase, which can help in channel-ing the validation and testing eeorts in a productive direction. We also compare the regression tree model-ing technique with the fault density technique which is a very commonly used approa...

This paper demonstrates the use of regression tree models to predict the number of faults in a software module based on the software complexity metrics, prior to the testing phase, which can help in channel-ing the validation and testing eeorts in a productive direction. We also compare the regression tree model-ing technique with the fault density technique which is a very commonly used approa...

The hybrid method presented in this paper, is based on the inverse of the belonging joint probability (IBJP) and the power spectral density (PSD) to detect new anomalous in a random signal representing normal state behavior of a given machine. We first compute the power spectral density (PSD) of the normal state signal and then represent this PSD signal by an adequate Gaussian white noise (GWN)...

Microstructures of 3C-SiC grown by chemical vapor deposition (CVD) technique on undulant silicon substrate and a further developed technique called switch-back epitaxy (SBE) were studied using transmission electron microscopy (TEM). In case of the CVD sample, the density of the stacking faults was found to be significantly decreasing along growth direction. Sites of collision of stacking faults...