Advanced Visual Interfaces. Supporting Big Data by Marco X. Bornschlegl, Felix C. Engel, Raymond Bond, Matthias

By Marco X. Bornschlegl, Felix C. Engel, Raymond Bond, Matthias L. Hemmje

This publication constitutes the completely refereed post-workshop lawsuits of the AVI 2016 Workshop on highway Mapping Infrastructures for complex visible Interfaces aiding enormous info purposes in digital examine Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016.

The 10 revised complete papers during this quantity current the elaborated final result of the preliminary place papers shooting the consequences oft the roadmapping discussions within the workshop at which reviews of a number of exterior reviewers for those complete guides have been additionally integrated.

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Extra resources for Advanced Visual Interfaces. Supporting Big Data Applications: AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers

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Energy 12, 3–20 (2015) 20. : Ocean energy development in Europe: current status and future perspectives. Int. J. Mar. Energy 11, 84–104 (2015) 21. : The effect of tidal flow directionality on tidal turbine performance characteristics. Renew. Energy 78, 609–620 (2015) 22. : Kinetic energy extraction of a tidal stream turbine and its sensitivity to structural stiffness attenuation. Renew. Energy 88, 30–39 (2016) 23. European Marine Energy Centre: Assessment of Tidal Energy Resource – Marine Renewable Energy Guides.

The use of AR on commodity ICT devices is cost effective as hardware are readily affordable/available to all and developing corresponding software could be cost-free. Software development is simplified as the application interface was deliberately kept simple to avoid overloading the learner with too much concurrent/contextual informa‐ tion which could harm the cognitive development process [1].

Some of the other sources also include the live data and those generated using algorithms developed with computer programs as programs Python, Java (Fig. 6). Engineering Study of Tidal Stream Renewable Energy 31 Analysis systems (Matlab® and Mathematica™) are used for data transformation. 2D and 3D plots from tables of data generated are then utilised for visualisation of information for the provision of knowledge-based support for the various categories of users enabling and empowering development and deployment of services for the public, business and community sectors.

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