Automatic Detection of User Abilities through the SmartAbility Framework

This paper presents a proposed smartphone application for the unique SmartAbility Framework that supports interaction with technology for people with reduced physical ability, through focusing on the actions that they can perform independently. The Framework is a culmination of knowledge obtained through previously conducted technology feasibility trials and controlled usability evaluations involving the user community. The Framework is an example of ability-based design that focuses on the abilities of users instead of their disabilities. The paper includes a summary of Versions 1 and 2 of the Framework, including the results of a two-phased validation approach, conducted at the UK Mobility Roadshow and via a focus group of domain experts. A holistic model developed by adapting the House of Quality (HoQ) matrix of the Quality Function Deployment (QFD) approach is also described. A systematic literature review of sensor technologies built into smart devices establishes the capabilities of sensors in the Android and iOS operating systems. The review defines a set of inclusion and exclusion criteria, as well as search terms used to elicit literature from online repositories. The key contribution is the mapping of ability-based sensor technologies onto the Framework, to enable the future implementation of a smartphone application. Through the exploitation of the SmartAbility application, the Framework will increase technology amongst people with reduced physical ability and provide a promotional tool for assistive technology manufacturers

Regionally aggregated, stitched and de‐drifted CMIP‐climate data, processed with netCDF‐SCM v2.0.0

The world's most complex climate models are currently running a range of experiments as part of the Sixth Coupled Model Intercomparison Project (CMIP6). Added to the output from the Fifth Coupled Model Intercomparison Project (CMIP5), the total data volume will be in the order of 20PB. Here, we present a dataset of annual, monthly, global, hemispheric and land/ocean means derived from a selection of experiments of key interest to climate data analysts and reduced complexity climate modellers. The derived dataset is a key part of validating, calibrating and developing reduced complexity climate models against the behaviour of more physically complete models. In addition to its use for reduced complexity climate modellers, we aim to make our data accessible to other research communities. We facilitate this in a number of ways. Firstly, given the focus on annual, monthly, global, hemispheric and land/ocean mean quantities, our dataset is orders of magnitude smaller than the source data and hence does not require specialized ‘big data’ expertise. Secondly, again because of its smaller size, we are able to offer our dataset in a text-based format, greatly reducing the computational expertise required to work with CMIP output. Thirdly, we enable data provenance and integrity control by tracking all source metadata and providing tools which check whether a dataset has been retracted, that is identified as erroneous. The resulting dataset is updated as new CMIP6 results become available and we provide a stable access point to allow automated downloads. Along with our accompanying website (cmip6.science.unimelb.edu.au), we believe this dataset provides a unique community resource, as well as allowing non-specialists to access CMIP data in a new, user-friendly way

NASA Why? Files - Electrical charges

This video explore lightning and the different types of electrical chargesEducação Superior::Ciências Exatas e da Terra::FísicaEnsino Médio::Físic

NASA Why? Files - Electrical charges

This video explore lightning and the different types of electrical chargesEducação Superior::Ciências Exatas e da Terra::FísicaEnsino Médio::Físic

NASA Why? Files - Electrical charges

This video explore lightning and the different types of electrical chargesEducação Superior::Ciências Exatas e da Terra::FísicaEnsino Médio::Físic

Galaxy IRAS 08572+3915: silicates in a deeply obscured galactic nucleus

Basic knowledge in astronomyThis graphic shows a storm of crystal silicates in the galaxy IRAS 08572+3915Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Astronomi

Why Is The Sky Blue?

Componente Curricular::Educação Superior::Ciências Exatas e da Terra::AstronomiaComponente Curricular::Educação Superior::Ciências Exatas e da Terra::FísicaComponente Curricular::Ensino Médio::FísicaBasic knowledge in AstronomyThe video explains the reasons for the sky, seen from our planet Earth, is blue during the day and, in the evening, it becomes red. It also highlights how this change of color can help astronomers find life on distant planet

Why Is The Sky Blue?

Basic knowledge in AstronomyThe video explains the reasons for the sky, seen from our planet Earth, is blue during the day and, in the evening, it becomes red. It also highlights how this change of color can help astronomers find life on distant planetsComponente Curricular::Ensino Médio::FísicaComponente Curricular::Educação Superior::Ciências Exatas e da Terra::FísicaComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Astronomi

Debris Disk around Star HR 8799

This infrared image, captured by the Spitzer Space Telescope shows a giant circle of very fine dust around the young star HR 8799, located to 129 light-years away in the constellation PegasusHave a prior knowledge about planetary systemEducação Superior::Ciências Exatas e da Terra::Astronomi