New receiver for joint blind equalization and carrier phase recovery of QAM signals

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Optimum SINR receiver in dispersive CDMA channels

Published versio

The Role of Leadership in Communities of Learning

This article is a systematic literature review aimed at providing a comprehensive overview of the implementation of the Kāhui Ako | Communities of Learning policy in Aotearoa New Zealand. This policy seeks to improve student outcomes through collaborative networks of schools emphasising the importance of network leadership in initiating and co-ordinating systemic change. This review examines the available evidence on the ways in which these school networks operate and how network leadership responds to local needs and environments. Review data included a total of 16 studies from the empirical literature resulting in four main organisational processes and patterns of interaction: (1) relationships building focusing on trust; (2) press for system-wide coherence; (3) knowledge exchange; and (4) collaborative work. Our findings suggest that achieving high levels of alignment and coherence within the Kāhui Ako policy is a key factor for meaningful implementation, challenging to achieve, and requires ongoing attention

Adaptive step-size blind multi-user detectors for DS-CDMA systems under deterministically and Markovian time-varying multipath environments

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MIDAS: Mutual Information Driven Approximate Synthesis

Applications ranging from the Internet of Things (IoT) to high-performance computing demand energy-efficient hardware for processing and storage. Reducing computation accuracy has shown the potential to achieve high energy efficiency in hardware implementations. In recent years, several automatic approximate logic synthesis techniques have been proposed to build an approximate circuit systematically, trading off accuracy for hardware cost. In this paper, we propose a novel approximate logic synthesis technique to simplify circuits using mutual information by considering the input distribution. Our experimental result shows that our proposed methodology demonstrates improvements in terms of area, delay, and error compared to the state-of-the-art

Stochastic conjugate gradient based multi-user constant modulus algorithm for use in multiuser DS-CDMA environment

Published versio

Co-creation in social media platforms: End-users as innovation partners: Online co-innovation within the open discovery space

Innovation is a way of meeting changing public needs by developing new and better solutions; it is also one of the most extensively discussed issues in the academic literature and field practice. Changing students’ behaviour, increasing knowledge development, increasing parents’ involvement and new teaching methods that overtake the existing methods creates a certain necessity to develop new knowledge media in collaboration with all educational stakeholders. Under increasing competition and market pressure the innovation process has been subject to important transformation during the last 30 years. Educational publishers changed from being traditionally a “closed’, internal process, based on internal organisational expertise and structures (R&D, New Product Department, New product Management etc.) the innovation process is increasingly becoming externally oriented. Chesbrough (2003) popularized the trend of externalizing the innovation process by engaging innovation partners in what he called the Open Innovation model. With the explosion of the social media and the subsequent public empowerment the innovation process is becoming a domain where the end-users and stakeholders are often directly involved (Prahalad and Ramaswamy, 2004); Crowdsourcing and innovation with the end-users and stakeholders is becoming the new innovation norm after closed- and open innovation. In this paper we identify this trend as Online Co-Innovation and explain its main merits in relation to the implementation of the Open Discovery Space project in the Netherlands

Exploring mobile news reading interactions for news app personalisation

As news is increasingly accessed on smartphones and tablets, the need for personalising news app interactions is apparent. We report a series of three studies addressing key issues in the development of adaptive news app interfaces. We first surveyed users' news reading preferences and behaviours; analysis revealed three primary types of reader. We then implemented and deployed an Android news app that logs users' interactions with the app. We used the logs to train a classifier and showed that it is able to reliably recognise a user according to their reader type. Finally we evaluated alternative, adaptive user interfaces for each reader type. The evaluation demonstrates the differential benefit of the adaptation for different users of the news app and the feasibility of adaptive interfaces for news apps