Rough and ready

Making Lipid Membranes Rough, Tough, and Ready to Hit the Road

Solid-supported lipid bilayers hold strong promise as bioanalytical sensor platforms because they readily mimic the same multivalent ligand–receptor interactions that occur in real cells. Such devices might be used to monitor air and water quality under realworld conditions. At present, however, supported membranes are considered too fragile to survive the harsh environments typically required ...

Rough Sets, Rough Relations and Rough Functions

Designing the HRTeam Framework: Lessons Learned from a Rough-’N-Ready Human/Multi-Robot Team

In this workshop paper, we share the design and on-going implementation of our HRTeam framework, which is constructed to support multiple robots working with a human operator in a dynamic environment. The team is comprised of one human plus a heterogeneous set of inexpensive, limited-function robots. Although each individual robot has restricted mobility and sensing capabilities, together the t...

Rough Numbers and Rough Regression

In this article a new model of regression is defined. On the basis of the rough sets theory a notion of rough number is defined. Typical real numbers calculations do not keep the additional information like the uncertainty or the error of input data. Rough numbers remove this limitation. It causes that rough numbers seem to be interested as the basis of the new way of regression: rough regression.

A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data.

We present a numerical method to identify regions of phase space that are approximately retained in a mobile compact neighbourhood over a finite time duration. Our approach is based on spatio-temporal clustering of trajectory data. The main advantages of the approach are the ability to produce useful results (i) when there are relatively few trajectories and (ii) when there are gaps in observat...