Energy Consumption Improvement through a Visualization Software

In this chapter, we present a project called RIDER, for Research for IT Driver EneRgy efficiencies. We are developing a green box composed by a set of IT components; able to generate efficient predictive model and building optimization. The main part of the green box is a pivot model managed by a rule engine and a standard BMS with a specific input/output protocol. Modules can extend the standard green box offering system/user advices, proposing improvements on data model and predicting building behavior. This chapter introduces the RIDER green box and details the visualization module, which is used to improve model by using user knowledge.

[1]  David Luebke,et al.  A Survey of Polygonal Simplification Algorithms , 1997 .

[2]  David P. Luebke,et al.  A Developer's Survey of Polygonal Simplification Algorithms , 2001, IEEE Computer Graphics and Applications.

[3]  James H. Clark.  Hierarchical geometric models for visible-surface algorithms , 1976, SIGGRAPH 1976.

[4]  Srikanth Kandula,et al.  NetClinic: Interactive visualization to enhance automated fault diagnosis in enterprise networks , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[5]  Chris H Rycroft,et al.  VORO++: a three-dimensional voronoi cell library in C++. , 2009, Chaos.

[6]  James H. Clark,et al.  Hierarchical geometric models for visible surface algorithms , 1976, CACM.

[7]  Zoltán Konyha,et al.  Interactive Visual Analysis in Engineering : A Survey , 2009 .

[8]  N. Dodgson,et al.  Intrinsic point cloud simplification , 2004 .

[9]  W. Kapferer,et al.  Visualization needs and techniques for astrophysical simulations , 2008 .

[10]  Ben Shneiderman,et al.  Inventing Discovery Tools: Combining Information Visualization with Data Mining1 , 2001, Inf. Vis..

[11]  H. Hauser,et al.  Interactive focus+context visualization with linked 2D/3D scatterplots , 2004, Proceedings. Second International Conference on Coordinated and Multiple Views in Exploratory Visualization, 2004..

[12]  John M. Snyder,et al.  Ray tracing complex models containing surface tessellations , 1987, SIGGRAPH.

[13]  Ben Shneiderman.  Inventing discovery tools: combining information visualization with data mining? , 2002, Inf. Vis..

[14]  Helwig Hauser,et al.  Angular brushing of extended parallel coordinates , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..

[15]  Markus H. Gross,et al.  Efficient simplification of point-sampled surfaces , 2002, IEEE Visualization, 2002. VIS 2002..

[16]  Dieter Schmalstieg,et al.  Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context , 2010, 2010 IEEE Pacific Visualization Symposium (PacificVis).

[17]  David P. Dobkin,et al.  The quickhull algorithm for convex hulls , 1996, TOMS.

[18]  van den BergenGino.  Efficient collision detection of complex deformable models using AABB trees , 1998 .

[19]  Daniel A. Keim,et al.  Challenges in Visual Data Analysis , 2006, Tenth International Conference on Information Visualisation (IV'06).

[20]  Marcel Worring,et al.  Visual exploration of classification models for risk assessment , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[21]  Arie E. Kaufman,et al.  Voxel based object simplification , 1995, Proceedings Visualization '95.

[22]  William E. Lorensen,et al.  Marching cubes: a high resolution 3D surface construction algorithm , 1996 .

[23]  William E. Lorensen,et al.  Decimation of triangle meshes , 1992, SIGGRAPH.

[24]  Voicu Popescu,et al.  An evaluation of 3-D scene exploration using a multiperspective image framework , 2011, The Visual Computer.

[25]  Hsi-Yung Feng,et al.  A progressive point cloud simplification algorithm with preserved sharp edge data , 2009 .