Damage index for stone monuments

Precise diagnosis is required for characterisation, interpretation, rating and prediction of the weathering damages at stone monuments and is vital for remedy of stone damages and sustainable monument preservation. Quantitative rating of damages represents an important scientific contribution to reliable damage diagnosis at stone monuments. Damage indices are introduced as new tool for scientific quantification and rating of stone damages. Application of damage indices improves stone damage diagnosis and is very suitable for evaluation and certification of preservation measures and for long-term survey and maintenance of stone monuments. Importance and use of damage indices are presented for monuments in Germany, Malta, Jordan, Egypt and Brazil.peer-reviewe

Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA)

We propose an algorithm for identifying vertices from three dimensional (3D) meshes that are most important for a geometric shape creation. Extracting such a set of vertices from a 3D mesh is important in applications such as digital watermarking, but also as a component of optimization and triangulation. In the first step, the Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA) estimates precisely the local curvature, and most important topological features of mesh geometry. Using the vertex geometric importance ranking, the algorithm traces and extracts a vector of vertices, ordered by decreasing index of importance.Comment: Accepted for publishing and Copyright transfered to Advances in Electrical and Computer Engineering, November 23th 201

A Progressive Visual Analytics Tool for Incremental Experimental Evaluation

This paper presents a visual tool, AVIATOR, that integrates the progressive visual analytics paradigm in the IR evaluation process. This tool serves to speed-up and facilitate the performance assessment of retrieval models enabling a result analysis through visual facilities. AVIATOR goes one step beyond the common "compute wait visualize" analytics paradigm, introducing a continuous evaluation mechanism that minimizes human and computational resource consumption