An increasing number of collaborative learning environments is based on shared workspace systems using two-dimensional graph-structured visual representations such as argumentation networks and concept maps. We propose an integrated framework that allows for flexibly specifying a wide range of visual languages and plugging in components for operational semantics, adequate feedback and intellige...

We present a surprisingly short proof that for any continuous map f : Rn → Rm, if n > m, then there exists no bound on the diameter of fibers of f . Moreover, we show that when m = 1, the union of small fibers of f is bounded; when m > 1, the union of small fibers need not be bounded. Applications to data analysis are considered. High-dimensional data sets are often difficult to analyze directl...

Resistance spot welding (RSW) includes many variables that can influence the weld properties. The purpose of this study is to develop an analytical model for prediction of thermal history and weld microstructure in RSW and to find the most important process parameters that influence the weld microstructure. A one dimensional model is proposed for prediction about thermal history during cooling ...

Knowledge network is one of the new strategies of knowledge management and it,s rationale of it is create synergy effects through a combination of effective human resources knowledge workers and knowledge bases of allied companies. Today, the face of complex structural issues and various stakeholders,s views to it, leading to increase use of software systems, particularly in managerial issues t...

Most of spectral embedding algorithms such as Isomap, LLE and Laplacian Eigenmap only give map on training samples. One main problem of these methods is to find the embedding of new samples, which is known as the outof-sample problem of spectral embedding. In this paper, we propose a neural network based method to solve this problem. Neural network is used to train and perform both the forward ...

We present a method for calculating phase diagrams for the high-dimensional variant of the Self-Organizing Map (SOM). The method requires only an ansatz for the tesselation of the data space induced by the map, not for the explicit state of the map. Using this method we analyze two recently proposed models for the development of orientation and ocular dominance column maps. The phase transition...

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...