in developing countries, it is common to site (or locate) industries without environmental impact assessment. in this study the impacts of two food processing industries on land use and land capability, noise and vibration, environmentally sensitive areas and visual quality as environmental elements were investigated. the research method adopted was the investigative survey research approach (i...

This work reviews the effect of parametric programming on visual performance, daylighting and shading in office buildings in Tehran-Iran and studies their influences that help not only to reduce the glare but also to promote useful daylight illuminance through promoting visual comfort. It starts by establishing a review of the effective parameters on visual comfort indices, glare indices, and d...

Abstract Visual impact analysis is a software visualisation technique that lets software maintainers judge the impact of proposed changes and plan maintenance accordingly. An existing CASE tool uses a directed acyclic graph display derived from decomposition slicing of a program for visual impact analysis. In this paper, we analyse the graph display and show that it is semantically ambiguous an...

In developing countries, it is common to site (or locate) industries without environmental impact assessment. In this study the impacts of two food processing industries on land use and land capability, noise and vibration, environmentally sensitive areas and visual quality as environmental elements were investigated. The research method adopted was the investigative survey research approach (I...

Monumental tombs are among the most important monuments of contemporary Iran; they have become the symbol of different cities over time and attracted the attention of the audiences with various tastes. This study tries to explain the architectural components that affect the durability of these buildings and answers these questions: What are the architectural components of the emergence of form ...

Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...