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for receivers operating in a multi-user environment, and for reception of multiple, simultaneous data streams in a MIMO environment. Significant challenges remain, in particular, selection of equalizer parameters (for example, the number of filter taps) based on acoustic channel conditions to optimize receiver

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This is the published version: McNaughton, Sarah 2007, A new Australian food selection guide: future challenges and

This paper discusses the challenges in computer systems research posed by the emerging field of pervasive computing. It first examines the relationship of this new field to its predecessors: distributed systems and mobile computing. It then identifies four new research thrusts: effective use

.g. the object or its context), and what the methods find easy or confuse. The paper concludes with lessons learnt in the three year history of the challenge, and proposes directions for future improvement and extension.

software we will gain access to more data, but not improve access to the type and quality of information needed for decision making. To develop the concepts needed for future information systems we model information processing as an interaction of data and knowledge. This model provides criteria for a high

Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars

is given, and contemporary research directions are presented. Finally, a range of open issues and future challenges are highlighted.