• DocumentCode
    3022783
  • Title

    The mathematics of shape-geometry approach to the analysis of curve profile

  • Author

    Khosrowshahi, Frazad

  • Author_Institution
    Sch. of Constr., South Bank Polytech., London, UK
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    It has been previously shown that the visual approach to the analysis of the behaviour of growth patterns can provide a viable solution to the understanding of the physical behaviour of the subject matter. Also, it has been demonstrated that the shape of the profile can be defined in terms of a number of characteristics some of which are general for all profiles and others are specific to individual circumstances. These characteristics, referred to as shape-parameters, are used for the analysis of the profile. Also, they are used for construction of the profile that the phenomenon is likely to assume. The method was validated by applying it to construction project expenditure pattern forecasting and further validation was undertaken by the use of statistical technique, namely, principal component analysis. In this paper, the mathematics of the model is represented whereby, for a given set of shape-parameters, the precise profile is mathematically generated. Due to its complex nature, the problem is decomposed into separate modules each satisfying a number of requirements. The modules operate independently but when combined, the overall boundary requirements are also satisfied
  • Keywords
    computational geometry; data visualisation; principal component analysis; boundary requirements; construction project expenditure pattern forecasting; curve profile analysis; growth patterns; mathematics; modules; physical behaviour; principal component analysis; shape-geometry approach; statistical technique; Electrical capacitance tomography; Mathematics; Polynomials; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    London
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-0210-5
  • Type

    conf

  • DOI
    10.1109/IV.1999.781536
  • Filename
    781536