| Robert Amor's Publications in 1987 |
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| Amor, R. (1987) A Line Drawing Modeler, Department of Computer Science, Victoria University of Wellington, Honours Report CSD-87-000, 26p. |
Abstract:This paper presents a methodology of resolving visible surfaces from solid models derived from Constructive Solid Geometry (CSG) tree, limited to only cubic building blocks. The algorithm used for this process is an extension of the scan-line hidden surface removal procedure, using knowledge of the CSG tree in the surface resolution process. To help resolve the surface resolution for an object, a modification of the Weiler-Atherton clipping algorithm was implemented. This calculates the resulting polygons from the intersection of two initial polygons. To further reduce the complexity of the Weiler-Atherton algorithm, a new method of calculating the resultant polygons was implemented. This procedure was based on papers by Fujio Yamaguchi. The new method of breaking up intersecting polygons into their distinct components requires the triangulation of the initial polygons, using procedures that will soon be implemented as a hardware processor overseas, for efficient computation of triangle related interference problems.
| Amor, R., Bruhns, H. (1987) Developing a Building Energy Data Base in SAS, SAS Users of New Zealand, SUNZ '87, Proceedings of the Fifth Annual Conference, Wellington, New Zealand, 15-16 October, pp 18-24. |
Abstract:The description of large numbers of buildings in a database requires flexible data structures. SAS was used to design and construct a building energy database containing quantitative information on commercial buildings and their energy use. The database was designed using a data model which was also constructed in SAS. The model consisted of data sets of metadata describing the fields in the Building Energy database. It was used to design sensible classification systems to describe the data, and thus to develop a variable naming system to uniquely identify the several hundred attributes making up the database. The resulting database brought together several previously distinct sets of building and energy data into one relational database. This paper describes the database and data model, and the suitability of SAS for this project.