Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work

Development of an experimental 10 T Nb3Sn dipole magnet for the CERN LHC

An experimental 1-m long twill aperture dipole magnet developed using a high-current Nb3Sn conductor in order to attain a magnetic field well beyond 10 T at 4.2 K is described. The emphasis in this Nb3Sn project is on the highest possible field within the known Large Hadron Collider (LHC) twin-aperture configuration. A design target of 11.5 T was chosen

Automated calibration of the EPA-SWMM model for a small suburban catchment using PEST: a case study

Rainfall-runoff models must be calibrated and validated before they can be used for urban stormwater management. Manual calibration is very difficult and time-consuming due to the large number of model parameters that must be estimated concurrently. Automatic calibration offers as a promising alternative, ideally supporting a user-independent and time-efficient approach to model parameters estimation. In this article, we test the use of a state-of-the-art standard package (PEST, Parameter ESTimation, http://www.pesthomepage.org/) for the automatic calibration of a rainfall-runoff EPA-SWMM (Storm Water Management Model) model developed for a small suburban catchment. Results reported in the paper demonstrate that the performance of automatically calibrated models still depends on a number of user-dependent choices (the level of catchment discretization, the selection of significant parameters, the optimization techniques adopted). Through a systematic analysis of the results, we try to identify the guidelines for the effective use of automatic calibration procedures based on modeling assumptions and target of the analysis

Bactérias Diazotróficas Endofíticas em Cultivares de Milho em Áreas de Cerrado e Mata no Estado de Roraima.

bitstream/item/53429/1/DOC-43-2010-ID-82-1.pd

Pesquisas participativas, construção de conhecimentos e socialização de tecnologias de base agroecológica em Mato Grosso do Sul, através de arranjos com Escolas Famílias Agrícolas.

Publicado também na: Revista Brasileira de Agroecologia, v. 6. n. 2, dez. 2011

Characterising Farms by the Movement of Animals through Them

We describe a pilot study that arose from a workshop of domain and visualisation experts, and present preliminary work in which we begin to visually characterise holdings (farms) by the movement of cattle through them. This ongoing study suggests that this is a useful approach for helping DEFRA understand risk of disease spread