Brunel University London

About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.

Calculation of avalanche breakdown voltages of silicon p-n junctions

Abstract: An empirical formula for the ionization coefficient given by α = CEg (C and g constants, E electric field) and which is considered as a common effective value for both holes and electrons yields tractable expressions for the breakdown voltages of abrupt and graded silicon pn junctions. Numerical values compare favourably with breakdown voltages obtained from expressions which, though derived from α values of a more theoretical lineage are considerably more involved and not so readily incorporated in comprehensive device design calculations.

Effects of brand love, personality and image on word of mouth: The case of fashion brands among young consumers

Abstract: Purpose – Fashion brand love is a central concept in the consumer‐brand relationship domain. Brand managers tend to create more lovable brands, e.g. McDonald's “I’m lovin it”. However, the importance of this concept is not frequently discussed in marketing literature. Furthermore, the impact of brand personality and brand image on brand love has not been investigated in any empirical research. This paper aims to address this gap by developing a causal model incorporating brand love, brand personality, brand image and word of mouth (WOM) to investigate the relationships among them.Design/methodology/approach – Data were collected using a survey method and usable questionnaires were completed by 250 undergraduate students. Path analysis was used to test the hypotheses using AMOS 16.0.Findings – Results revealed that only brand image is considered as a determinant of brand love that affects WOM along with brand personality.Practical implications – Results provide detailed implications and a platform on which...

Synchronization in an array of linearly stochastically coupled networks with time delays

Abstract: In this paper, the complete synchronization problem is investigated in an array of linearly stochastically coupled identical networks with time delays. The stochastic coupling term, which can reflect a more realistic dynamical behavior of coupled systems in practice, is introduced to model a coupled system, and the influence from the stochastic noises on the array of coupled delayed neural networks is studied thoroughly. Based on a simple adaptive feedback control scheme and some stochastic analysis techniques, several sufficient conditions are developed to guarantee the synchronization in an array of linearly stochastically coupled neural networks with time delays. Finally, an illustrate example with numerical simulations is exploited to show the effectiveness of the theoretical results.