We consider a one–dimensional coupled stationary Schrödinger drift–diffusion model for quantum semiconductor device simulations. The device domain is decomposed into a part with large quantum effects (quantum zone) and a part where quantum effects are negligible (classical zone). We give boundary conditions at the classic– quantum interface which are current preserving. Collisions within the qu...

This paper proposes an adaptive approximation-based controller for uncertain strict-feedback nonlinear systems with unknown dead-zone nonlinearity. Dead-zone constraint is represented as a combination of a linear system with a disturbance-like term. This work invokes neural networks (NNs) as a linear-in-parameter approximator to model uncertain nonlinear functions that appear in virtual and act...

A neuronal model made of two interconnected parts-a den-drite and a trigger zone-is considered under the action of white noise and periodic inputs acting on the dendritic compartment. It is shown analytically how the variability of the depolarization potential is decreased from the dendritic to the trigger zone for subthreshold behavior. These ltering properties of the model are also shown when...

a r t i c l e i n f o Keywords: Concrete (E) Fiber reinforced concrete (FRC) (E) Constitutive relationship (C) Cohesive fracture (C) Fracture energy (C) A simple, effective, and practical constitutive model for cohesive fracture of fiber reinforced concrete is proposed by differentiating the aggregate bridging zone and the fiber bridging zone. The aggregate bridging zone is related to the total...

47 Advance detection and green extension schemes are widely applied in practice as a typical 48 solution to the safety issues associated with the intersection dilemma zone (DZ) problem. Most 49 existing detector configurations were either developed based on the traditional Type I DZ model 50 in which some critical contributing factors were assumed static, or based on generic Type II DZ. 51 A co...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...

The aim of this study is to present a linked simulation-optimisation model to estimate the groundwater recharge rates, their associated zone structures, and hydraulic conductivity values for regional, steady-state groundwater flow models. For the zone structure estimation problem the fuzzy c-means clustering (FCM) method was used. According to our current knowledge, this is the first time that ...

A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very important for the subsequent processes within any document image understanding system. This paper describes an algorithm for the determination of zone type of a given zone within an input doc...