Competitiveness Education Strategies in Training Experts for Coal Mining Region

Image Mining for Intelligent Autonomous Coal Mining

Automation in underground mining enhances safety and leads to economic efficiencies. After more than 50 years of research, automation tasks have gradually been growing out of the classic engineering/mechanical environment and require a sophisticated datamining treatment. The success of (mechanical) process automation has left only one remaining place in the coal-excavation process where human l...

Fundamentals of 3D modelling and resource estimation in coal mining

The prerequisite of maintaining an efficient and safe mining operation is the proper design of a mine by considering all aspects. The first step in a coal mine design is a realistic geometrical modelling of the coal seam(s). The structural features such as faults and folding must be reliably implemented in 3D seam models. Upon having a consistent seam model, the attributes such as calorific val...

Developing Competitive Strategies in Higher Education through Visual Data Mining

Information visualization is the growing field of computer science that aims at visually mining data for knowledge discovery. In this paper, a data mining framework and a novel information visualization scheme is developed and applied to the domain of higher education. The presented framework consists of three main types of visual data analysis: Discovering general insights, carrying out compet...

Coal Exploration and Mining

Disciplinary competitiveness analysis in international stomatology education.

With economic and cultural globalization, the trend of globalization of higher education becomes inevitable. Using the concept of competitiveness, the authors established a principal component analysis (PCA) model to examine disciplinary competitiveness in stomatology of various higher education institutions worldwide. A total of forty-four universities entered the final list according to these...