Approaches to knowledge-transfer systems

Learning to Transfer Knowledge between Reference Systems

Representation and inference of spatial knowledge play a fundamental role in spatial reasoning, which itself is an important component of many applications such as Geographic Information Systems or robotics. This paper discusses how an existing relation between speakerrelative and absolute spatial reference systems can be automatically learned by an inductive relational machine learning system.

Interdisciplinarity: Creativity in collaborative research approaches to enhance knowledge transfer

This paper outlines how collaborative approaches were used to successfully generate research opportunities and enhance knowledge transfer in the development of new products. The researchers were drawn from across four disciplines within the University of Ulster and worked closely with an industrial partner to develop and test new approaches to the design and development of soft body armour. The...

New Approaches to Duals of Fourier-like Systems

‎The sequences of the form ${E_{mb}g_{n}}_{m‎, ‎ninmathbb{Z}}$,‎ ‎where $E_{mb}$ is the modulation operator‎, ‎$b>0$ and $g_{n}$ is the‎ ‎window function in $L^{2}(mathbb{R})$‎, ‎construct Fourier-like‎ ‎systems‎. ‎We try to consider some sufficient conditions on the window‎ ‎functions of Fourier-like systems‎, ‎to make a frame and find a dual‎ ‎frame with the same structure‎. ‎We also extend t...

From Knowledge Description to Information Systems: Two Divergent Approaches

Systems Approaches to Knowledge Mobilization Scan of Initiatives