September 23, 1939 Football Program, UOP vs. University of South Dakota

https://scholarlycommons.pacific.edu/ua-football/1201/thumbnail.jp

Assessment of energy credits for the enhancement of the Egyptian Green Pyramid Rating System

Energy is one of the most important categories in the Green Building Rating Systems all over the world. Green Building is a building that meets the energy requirements of the present with low energy consumption and investment costs without infringing on the rights of forthcoming generations to find their own needs. Despite having more than a qualified rating system, it is clear that each system has different priorities and needs on the other. Accordingly, this paper proposes a methodology using the Analytic Hierarchy Process (AHP) for assessment of the energy credits through studying and comparing four of the common global rating systems, the British Building Research Establishment Environmental Assessment Method (BREEAM), the American Leadership in Energy and Environmental Design (LEED), the Australian Green Stars (GS), and the PEARL assessment system of the United Arab Emirates, in order to contribute to the enhancement of the Egyptian Green Pyramid Rating System (GPRS). The results show the mandatory and optional energy credits that should be considered with their proposed weights according to the present and future needs of green Egypt. The results are compared to data gathered through desk studies and results extracted from recent questionnaires

September 23, 1939 Football Program, UOP vs. University of South Dakota

https://scholarlycommons.pacific.edu/ua-football/1201/thumbnail.jp

E. H. Adelson | C. H. Anderson | J. R. Bergen | P. J. Burt | J. M. Ogden

The data structure used to represent image information can be critical to the successful completion of an image processing task. One structure that has attracted considerable attention is the image pyramid This consists of a set of lowpass or bandpass copies of an image, each representing pattern information of a different scale. Here we describe a variety of pyramid methods that we have developed for image data compression, enhancement, analysis and graphics

J.M. Ogden | E.H. Adelson | J R. Bergen | P.J. Burt

This paper describes pyramid solutions to graphics problems that have proven difficult in other image representations. The "physics simulation" approach grows more out of the physics and mathematical modelling traditions