PROCESS VARIATIONS IN SEMICONDUCTOR manufacturing and their potentially negative impact on VLSI designs are well-known phenomena. Papers published in IEEE transactions and conference proceedings date back to the 1970s. Traditionally, variability has been considered a manufacturing problem in which the device and process engineers were supposed to minimize the variations. To guardband the impact...

The combination of experimental and computational methods provides a powerful approach for understanding biological processes. Initial experiments can suggest hypotheses that can be captured by first-generation mathematical/ computational models (henceforth simply called ‘mathematical models’ or ‘models’), which can then be employed to generate new experimental approaches to test those models. ...

Poverty can have spatial dimensions. While general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. Relying on simple figures of spatial patterns and ranking regions based on them might be misleading. This paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...

Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone over Tehran city. For eliminating the trend of data, a dynamic linear model is used, then some featu...

abstract spatial variability of soils makes difficult analysis of soil water flow phenomena especially in a large area such as a watershed. using scaling methods is a solution in variability problems. the objective of this study was to investigate the effect of the non-linear variability on performance of the scaling methods of richards’ equation for modeling infiltration in a watershed. the me...

Stationary Gaussian processes have been used for decades in the context of procedural noises to model and synthesize textures with no spatial organization. In this paper we investigate cyclostationary processes, whose statistics are repeated periodically. It enables modeling having periodic variations, which call “cyclostationary noises”. We adapt several stationary along their synthesis algori...