Year: 2017

In this paper, we perform a feasibility study for applying topological data analysis and visualization techniques never before tested by the ALMA (Atacama Large Millimeter Array) community. Through techniques based on contour trees, we seek to improve upon existing analysis and visualization workflows of ALMA data cubes, in terms of accuracy and speed in feature extraction. Continue reading

In this paper, ten key challenges and their implications for CAD cyber education are discussed. The purpose of this paper is not to provide a dismal outlook for cyberlearning, but to incite discussion, research, and development into these areas with the anticipation of a viable and attractive alternative to traditional classroom education. Continue reading

In this paper, we propose a new framework to implement visualization peer review in the classroom to engage students. This framework can be customized for incremental and double-blind review to inspire students and reinforce critical thinking about visualization. Continue reading

This patent describes a technique for visualization of the movement of data within a computer for software optimization. Continue reading

The topological notion of robustness introduces mathematically rigorous approaches to interpret vector field data. Robustness quantifies the structural stability of critical points with respect to perturbations and has been shown to be useful for increasing the visual interpretability of vector fields. We define a new Galilean invariant robustness framework that enables the simultaneous visualization of robust critical points across the dominating reference frames in different regions of the data. Continue reading