The fusion of multiple Computer Aided Detection/Computer Aided Classification (CAD/CAC) algorithms has been shown to be effective in reducing the false alarm rate associated with the automated classification of bottom mine-like objects when applied to side-scan sonar images taken in the littoral environment. Real-time operation of the CAD/CAC fusion algorithms from Raytheon, Lockheed Martin, an...

The motion of an underwater vehicle is prone to be affected by time-varying model parameters and the actuator limitation in control practice. Adaptive control is an effective method to deal with the general system dynamic uncertainties and disturbances. However, the effect of disturbances control on transient dynamics is not prominent. In this paper, we redesign the L1 adaptive control architec...

The past years needs for Digital Elevation Models and consequently for 3D simulations requested in various applications had led to the development of fast and accurate terrain topography measurement techniques. In this paper, we are presenting a novel framework dedicated to the automatic or semiautomatic processing of scanned maps, extracting the contour lines vectors and building a digital ele...

Ronald Maier is a Professor, Department of Management Information Systems, School of Business and Economics, MartinLuther-University Halle-Wittenberg, Halle/Saale, Germany ([email protected]). Ulrich Remus is an Assistant Professor, IT-Management and Business Systems Development, University of Erlangen-Nuremberg, Nuremberg, Germany ([email protected]). Abstract Despite gro...

The results from applying neural networks to business forecasting have been mixed. Among the most encouraging efforts is that of Hill, O’Connor and Remus (1996). In that study, neural networks produced forecasts that were significantly better than those produced by traditional methods for quarterly and monthly series, and no worse for annual series. We have attempted to reproduce that study. Th...