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This paper describes ExploraTool, a new interactive tool to visually explore data from multiple repositories. The tool has been applied in a real setting to explore computational fluid dinamics (CFD) simulation data and obtain new insights into the space of simulations. The inclusion of free exploration, filtering operations, and chart generation provides a quick method for performance comparisons...
This paper describes a tool called ExploraTool to visualise, explore and graphically query large repositories of simulations. Instead of starting with the empty list, ExploraTool provides an initial overview of the repository content, progressively grouping the simulations by their main attributes, such as brand, vehicle model, power source, engine type and so on. Users can interactively navigate...
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Such methods should comply with three major requirements: their model structure can be represented visually, they can be controlled using visual, interaction, and they should be fast enough for visual interaction. We, define...
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and businesses. However, it is still very challenging to design effective visual metaphors to represent large corpora of text due to the unstructured and high-dimensional nature of text. In this paper, we propose a data model...
The development and implementation of a virtual real-time roaming system is introduced. The system was to investigate hydraulic environment by analyzing large quantities of geographical-related data. Aspects like presentations of data with spatial dependence, virtual real-time roaming in the terrain and geographical frame of reference and interaction techniques are presented. Easy-to-use methods that...
It is important to use various data accurately and effectively in order to ensure the safety of navigation of ships. If such data are integrated and visualized, a reality-based virtual environment can be constructed, which can be used by ship maneuvering simulators. Since such environments are constructed mainly for the purpose of training exercises in ship maneuvering, they are not suitable for the...
Discovering and extracting linear trends and correlations in datasets is very important for analysts to understand multivariate phenomena. However, current widely used multivariate visualization techniques, such as parallel coordinates and scatterplot matrices, fail to reveal and illustrate such linear relationships intuitively, especially when more than 3 variables are involved or multiple trends...
Indoor routing represents an essential feature required by applications and systems that provide spatial information about complex sites, buildings and infrastructures such as in the case of visitor guidance for trade fairs and customer navigation at airports or train stations. Apart from up-to date, precise 3D spatial models these systems and applications need user interfaces as core system components...
We describe a visual analytics (VA) infrastructure, rooted on techniques in machine learning and logic-based deductive reasoning that will assist analysts to make sense of large, complex data sets by facilitating the generation and validation of models representing relationships in the data. We use logic programming (LP) as the underlying computing machinery to encode the relations as rules and facts...
Building on the extensive research in Virtual Reality (VR), we are proposing a new dynamic prototype for modelling and simulating carbon emissions in a virtual village called VIRVIL. VIRVIL is a simulated settlement for the assessment of the impact of low and zero carbon technologies and measures in the built environment. The prototype will focus on the impact on the community as a whole, as well...
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