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With the trend from micro- to nanoelectronics the control of production deviations can not keep pace with the reduction of the absolute sizes of semiconductor devices. This results in an increased number of circuits beyond specification. The presented symbolic methods for reducing behavioral models with parameter variations assist designing and optimizing robust electronic circuits to increase the...
Although extensive research has been conducted for turbulent single and offset wall jets, relatively little research has been conducted for turbulent parallel jets. Relevant applications include burners, boilers, film cooling, fuel-injection, heating and air-conditioning systems, and designs for pollutant exhaust stacks. The objective of the present work is to evaluate the use of Reynolds-averaged...
We have proposed an analytical model for quantum confinement effects in short-channel Gate-All-Around (GAA) MOSFETs. This model accurately predicts the eigen-energy shift and eigen-function modulation caused by the short channel effects in lightly doped GAA devices. It shows that the threshold voltage (Vth) variation due to channel diameter variation is larger than that due to channel length variation...
In this paper, we focus on the problem of parameter identification for non-linear dynamical systems in the case when the number of data samples are too small for standard statistical analysis. The models are described by ordinary and delay differential equations with bounded errors. When the number of data samples is very small, standard validation methods are not applicable because classical statistical...
This article deals with heat transfer modeling and identification, based on fractional non commensurate order state space models. An output error method is developed to estimate the model parameters including the fractional order and an iterative non-linear programming method is used, based on a novel fractional multivariable sensitivity functions model. Numerical simulation data of the heat transfer...
In this paper, we introduce a pricing model that ensures efficient resource allocation that provides guaranteed quality of service while maximizing profit in multiservice networks. Specifically, a dynamic allocation policy is examined that relies on online measurements while each service class operates under a probabilistic bound delay constraint. We present a rigorous analysis of the properties of...
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