In this paper, we present adaptive model generation, a method for automatically building detection models for data-mining based intrusion detection systems. Using the same data collected by intrusion detection sensors, adaptive model generation builds detection models on the fly. This significantly reduces the deployment cost of an intrusion detection system because it does not require building...

Abstract A simple and economic scintillator kit in combination with a computer-based oscilloscope was used to develop learning experience, comprised of set activities introduce students an interactive way the physics gamma-ray detection. The proposal for secondary school university is built by means frequent on-the-fly formative assessment collect difficulties ways overcome them. Internal decay...

<p class="0abstract"><span lang="EN-US">In this paper, we proposed an algorithm for detecting multiple human faces in image based on haar-like features to represent the invariant characteristics of a face. The choice relevant and more representative is divine proportions This technique, widely used world beauty, especially aesthetic medicine, allows face be divided into set specific...

A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner (ALS) data or by image matching techniques. Buildings are detected automatically from the input data. The building detection results are compared to an existing building data base, and changes betw...

Introduction Work Flow DTM Generation Building Detection Building Reconstruction Conclusion and Future Work References Building Extraction from LIDAR Data Franz Rottensteiner and Christian Briese