The paper presents aspects of knowledge assessment in the framework of adaptive e-learning systems, focussing on aspect related to self-testing, as a way of providing the input necessary for both system adaptation and user informed decisions. A model of up-ward propagation of evaluation credits and down-ward propagation of validation and acceptance is presented. A prototype example of automatic...

In this paper, we propose a general formulation and an algorithm for simultaneous propagation of several fronts evolving on a weighted graph. This formulation is an adaptation of the continuous level set formulation for front propagation and uses a Partial difference Equations (PdEs) framework. The proposed algorithm is a graph-based version of the Fast Marching algorithm that allows simultaneo...

This paper introduces a new approach to automatic mesh generation over composite geometry. This approach is based on an adaptation of advancing front mesh generation techniques over curved surfaces, and its main features are : elements are generated directly over multiple parametric surfaces: advancing front propagation is adapted through the extension to composite geometry of propagation direc...

jujube (ziziphus jujuba mill.) is a native, economic iranian plant mainly cultivated in birjand. it is a deciduous shrub or tree with plain leaves with alternate placement pattern, androgynous flowers and hard fruits whose fruit and wood are used. mycorrhiza is the most prevalent symbiosis between the fungi and vascular plants which has various types. due to the beneficial effects of this symbi...

3D point cloud semantic segmentation is fundamental for autonomous driving. Most approaches in the literature neglect an important aspect, i.e., how to deal with domain shift when handling dynamic scenes. This can significantly hinder navigation capabilities of self-driving vehicles. paper advances state art this research field. Our first contribution consists analysing a new unexplored scenari...

Support for human-to-human interactions over a network is still insufficient, particularly for professional virtual communities (PVC). Among other limitations, adaptation and learning-by-experience capabilities of humans are not taken into account in existing models for collaboration processes in PVC. This paper presents a model for adaptive human collaboration. A key element of this model is t...

Support for human-to-human interactions over a network is still insufficient, particularly for Professional Virtual Communities (PVCs). Among other limitations, adaptation and the learning-by-experience capability of humans are not taken into account in the existing models for collaboration processes in PVCs. This paper presents a model for adaptive human collaboration. A key element of this mo...

Support for human-to-human interactions over a network is still insufficient, particularly for professional virtual communities (PVC). Among other limitations, adaptation and learning-by-experience capabilities of humans are not taken into account in existing models for collaboration processes in PVC. This paper presents a model for adaptive human collaboration. A key element of this model is t...

We develop a multilevel algorithm for hypergraph partitioning that contracts the vertices one at a time and thus allows very high quality. This includes a rating function that avoids nonuniform vertex weights, an efficient “semi-dynamic” hypergraph data structure, a very fast coarsening algorithm, and two new local search algorithms. One is a k-way hypergraph adaptation of Fiduccia-Mattheyses l...