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@PHDTHESIS{Wolter:51472,
      author       = {Wolter, Marc},
      othercontributors = {Kuhlen, Torsten},
      title        = {{N}avigation in time-varying scientific data},
      address      = {Aachen},
      publisher    = {Publikationsserver der RWTH Aachen University},
      reportid     = {RWTH-CONV-113761},
      pages        = {VI, 167 S. : Ill., graph. Darst.},
      year         = {2010},
      note         = {Aachen, Techn. Hochsch., Diss., 2010},
      abstract     = {The temporal resolution of today's simulated scientific
                      data sets is constantly growing. Simulations spanning
                      thousands of discrete time steps are common these days;
                      simulations with a much higher resolution exist. The growing
                      amount of discrete time steps leads to significant problems,
                      particularly concerning the navigation through such data
                      sets. This thesis presents a set of techniques that together
                      enable an intuitive, interactive, and accurate navigation
                      through time-varying scientific data. A time model that
                      describes different time scales and their relations in
                      scientific visualizations serves as a basis. Novel 3D
                      interaction techniques for search and maneuver navigation
                      tasks are developed and are evaluated in user studies. Based
                      on initial user input, the temporal resolution of
                      time-varying scientific data is adapted by a multi-objective
                      optimization approach, which tries to combine conflicting
                      analysis goals. In order to speed up the computation of
                      time-varying visualizations during navigation, a remote
                      parallel computation system using different user-centered
                      scheduling strategies is presented. The developed approaches
                      are evaluated using multiple large time-varying data sets
                      from medicine, geosciences and flow mechanics. The
                      heterogeneous techniques proposed - applied individually as
                      well as in combination - enable or ease the analysis of
                      large time-varying data in an interactive work process.},
      keywords     = {Virtuelle Realität (SWD) / Visualisierung (SWD)},
      cin          = {124170 / 120000},
      ddc          = {004},
      cid          = {$I:(DE-82)124170_20140620$ / $I:(DE-82)120000_20140620$},
      typ          = {PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:hbz:82-opus-31942},
      url          = {https://publications.rwth-aachen.de/record/51472},
}