Contribution of the National Institute for Nuclear, Chemical and Biological Protection to the Development of Methods and Procedures Related to Safety Engineering

The paper describes the National Institute for Nuclear, Chemical and Biological Protection involvements with regards to the development of methods and procedures related to Safety Engineering. It provides general information about the Institute's activities, history, presence and objectives for the near future to illustrate its role, tasks and responsibilities. The Institute's added values that consist in its share to the reduction of safety risks and incident consequences are presented and discussed in details

Benchmarking of Remote Sensing Segmentation Methods

We present the enrichment of the Prague Texture Segmentation Data-Generator and Benchmark (PTSDB) to include the assessment of the remote sensing (RS) image segmenters. The PTSDB tool is a Web-based (http://mosaic.utia.cas.cz) service designed for real-time performance evaluation, mutual comparison, and ranking of various supervised or unsupervised static or dynamic image segmenters. PTSDB supports rapid verification and development of new segmentation approaches. The RS datasets contain ten spectral Advanced Land Imager (ALI) satellite images, their RGB subsets, and very-high-resolution GeoEye RGB images, with optional additive-noise-resistance checking. Alternative setting options allow us to also test scale, rotation, or illumination invariance. The meaningfulness of the newly proposed dataset is demonstrated by testing and comparing several RS segmentation algorithms, and showing that the benchmark figures provide a solid framework for the fair and critical comparison among different techniques

A Scaleable Approach to Visualization of Large Virtual Cities

Visualization of large urban complexes on the web is highly demanding task both from the networking and computational point of view. The whole threedimensional model of a city is mostly too big to be downloaded in a reasonable time and to be stored in a memory of commonly used computers. This paper presents a scaleable approach for subdividing an urban model into smaller parts. Dynamic loading and unloading data allows theoretically unlimited extension of a model with constant network and computation load. Further requirements specific to presentation of virtual cities are also discussed. Theoretical considerations are followed by a practical implementation utilizing VRML language for modeling historical city of Prague. 1