Distributed collaboration between industry and university partners in HE

Over the past three years the School of Design has been experimenting with an innovative curriculum design and delivery model named ‘the Global Studio’. The Global Studio is a cross-institutional research informed teaching and learning collaboration conducted between Northumbria University and international universities and industry partners based in the UK, USA, Netherlands and Korea. The aims of the Global Studio are directly linked with current and future industry needs that are related to changes in the organisation of product and service development. These changes highlight the importance of equipping design students with skills for working in globally networked organisations particularly the development of skills in intercultural communication and collaboration. In this paper we will focus on the Global Studio conducted in 2008 which included Northumbria University (UK), Hongik University (Korea), Auburn University (USA), Intel (USA), Motorola design studios located in the UK and Korea and Great Southern Wood (USA). These projects will be used to illustrate challenges and benefits of international collaborative industry-based projects undertaken in distributed settings

Wavelet transform - artificial neural network receiver with adaptive equalisation for a diffuse indoor optical wireless OOK link

This paper presents an alternative approach for signal detection and equalization using the continuous wavelet transform (CWT) and the artificial neural network (ANN) in diffuse indoor optical wireless links (OWL). The wavelet analysis is used for signal preprocessing (feature extraction) and the ANN for signal detection. Traditional receiver architectures based on matched filter (MF) experience significant performance degradation in the presence of artificial light interference (ALI) and multipath induced intersymbol interference (ISI). The proposed receiver structure reduces the effect of ALI and ISI by selecting a particular scale of CWT that corresponds to the desired signal and classifying the signal into binary 1 and 0 based on an observation vector. By selecting particular scales corresponding to the signal, the effect of ALI is reduced. We show that there is little variation when using 30 and 5 neurons in the first layer, with one layer ANN model showing a consistently worse BER performance than other models, whilst the 15 neuron model show some behaviour anomalies from a BER of approximately 10-3. The simulation results show that the Wavelet-ANN architecture outperforms the traditional MF based receiver even with the filter is matched to the ISI affected pulse shape. The Wavelet-ANN receiver is also capable of providing a bit error rate (BER) performance comparable to the equalized forms of traditional receiver structure

Employing wavelength diversity to improve SOA gain uniformity

In this paper, we propose a wavelength diversity technique for the semiconductor optical amplifier (SOA) to improve the gain uniformity for ultra-high speed optical routers. In such routers, fast SOA gain recovery is required to ensure the minimum gain standard deviation and thus leading to reduction in the system power penalty. The SOA is modeled using a segmentation technique and the detailed theoretical analysis for the model is presented. A direct temporal analysis of the impact of the signal wavelength on the SOA gain is investigated. The SOA gain profile when injected with a burst of input Gaussian pulses for a single wavelength and the proposed wavelength diversity technique are investigated. The operation principle is simulated and the results show a reduction in the gain standard deviation (at 1 mW input power) of 13.1, 11, 8.1, 6.2 and 4.8 dB for the data rates of 10, 20, 40, 80 and 160 Gb/s, respectively

Multi-agency training and the artist (Sharing our experience, Practitioner-led research 2008-2009; PLR0809/032)

The Multi-Agency Team Project approached issues of multi-agency training indirectly by using an artist as a catalyst in a group exercise examining movement and sound in relation to early childhood. The aim of the research was to run an experiential non-traditional training programme based on using an artist as a catalyst to promote inter-agency dialogue in one setting, Woodlands Park Nursery and Children’s Centre, and to analyse the findings. Eleven participants used this common experiential focus to frame collective research both as a focus group and as individual fieldworkers. The research demonstrated shared professional discourse but also collected judgements relevant to policy issues based on collaborative professional reflection triggered by the exercise. The findings are presented theoretically in terms of critical discourse analysis using the interpretation-supporting software ATLASti. We next take a further look at the role play exercise in which the group constituted itself as a ‘House of Commons Select Committee’ before summarizing what theoretical insights might be brought to bear and attempting to draw some provisional conclusions. Some evidence is presented suggesting there is a degree of tension and ambiguity between alterative models of multi-agency working