948 research outputs found

    "More of an art than a science": Supporting the creation of playlists and mixes

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    This paper presents an analysis of how people construct playlists and mixes. Interviews with practitioners and postings made to a web site are analyzed using a grounded theory approach to extract themes and categorizations. The information sought is often encapsulated as music information retrieval tasks, albeit not as the traditional "known item search" paradigm. The collated data is analyzed and trends identified and discussed in relation to music information retrieval algorithms that could help support such activity

    FUNNet:a novel biologically-inspired routing algorithm based on fungi

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    Future data communication networks show three emerging trends: increasing size of networks, increasing traffic volumes and dynamic network topologies. Efficient network management solutions are required that are scalable, can cope with large, and increasing, traffic volumes and provide decentralised and adaptive routing strategies that cope with the dynamics of the network topology. Routing strategies are an important aspect of network management as they have a significant influence on the overall network performance. This paper introduces the preliminary studies for FUNNet, a new routing algorithm inspired by the kingdom of Fungi. Fungi form robust, resilient and responsive networks and these networks change topology as a consequence of changes in local conditions. Fungi are capable of expanding in size as they self-regulate and optimise the balance between exploration and exploitation which is dependent on the transport of the internal resource, i.e. ‘traffic’, within the network. FUNNet exploits the biological processes that are responsible for simulating fungal networks in a bio-inspired routing protocol. The initial results are positive and suggest that fungal metaphors can improve network management, although further evaluation of more complex scenarios is required

    Increasing discrimination in multi-criteria analysis

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    Multi criteria methods for supporting decision-making procedures are widely used in sustainability assessment. One of the most important steps in decision-making procedures is the evaluation of policy options or alternatives in order to find a hierarchy of option choices. Utility function value distributions are often constructed for the range of indicators for the options to be assessed. This distribution can be presented as an impact matrix stacked with indicator weights to reflect the relative importance of different indicators for the decision-maker. Solving rules are then introduced to integrate all individual indicator evaluations into a single integral utility estimation. These are often based on the averaging procedures, one of the simplest being arithmetic averaging. Whilst averaging rules are very attractive to decision makers due to their simplicity and logical transparency, using averaging as the first step of the decision-making procedures can significantly reduce the discrimination of the options, especially if there are counteractive individual indicator estimations.This paper proposes a method to evaluate and overcome this loss of discrimination. The paper explains the basis of a discriminatory analysis approach to sustainability assessment demonstrates its application through the use of illustrative data and describes its application to an existing case study where researchers had applied a number of multi criteria analysis tools. It was concluded that the discriminatory analysis provided a useful addition to the decision-makers toolbox as it provided a means of assessment of the validity of the application of the simple arithmetic averaging technique

    The role of sustainability assessment in sustainability management for urban redevelopment

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    Sustainability assessment has the potential to influence decision making and hence to improve the management of sustainability. This paper presents the development and reporting of benchmark sustainability indicators and discusses the challenges of embedding sustainability indicators into existing process for urban infrastructure development. It links sustainability indicators with a range of tools that were implemented within a Sustainability Enhancement and Monitoring Framework for the £1billion redevelopment of Dundee Waterfront. The sustainability monitoring framework followed the UK and Scottish Government thematic indicator approach and provided a set of Sustainability Benchmark Indicators for assessing and managing a public sector funded urban redevelopment. The process of indicator development was iterative and consisted of three main activities, literature, interviews and document analysis. Indicators were finalised through close working with Dundee City Council, Scottish Enterprise and partnership stakeholders. The indicators were successfully established in 2010 within Dundee City Council at project and departmental level, providing the link across policies, programmes and projects. The indictor development process is discussed and the findings of a January 2015 review of changes in the benchmark indicators will be reported. The transition of the indicators over time and its impact on future sustainability enhancement opportunities are evaluated alongside the implications for sustainability management of Dundee Waterfront. The efficacy of the benchmark indicators to support sustainability management over the planned 30 year programme of urban redevelopment is discussed. The wider implications of the findings of the Dundee Waterfront project are reviewed in the context of current work on sustainability assessment

    Major project team learning:examining building information modelling

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    The speed of technological advancement of software development drives the need for individual and team learning to exploit these developments for competitive advantage. Using a major long term redevelopment as a case study a review of learning processes and project team learning in the context of a voluntary approach to adopting of BIM prior to 2016 is examined. The speed of adoption of BIM across a large redevelopment project covering several years is variable and the differences of preparedness between team members from different organisations raises the question of how effective the project team can be in sharing learning and increasing the speed of adoption of BIM. The benefits of understanding the project environment as a formal learning context are recognised where teams are working in partnering arrangements but the focus is usually on post project review of what went wrong with little time to critically evaluate other variables. Knowledge Management has the potential to help understand and then facilitate greater participation amongst stakeholders in project team learning. The research team undertook decision mapping and knowledge elicitation techniques and applied these to the Dundee Waterfront to identify key factors relevant to successful project management, enabling the Waterfront Project Team to understand current practice. The effectiveness of project team learning in relation to BIM within this long-term major redevelopment is influenced by positive motivational drivers for individuals to learn how to use and apply BIM, the level of organisational support for learning and professional development and the project information and communication systems. In practice the current approach to sharing of knowledge within the project team indicates a fragmented approach in relation to the adoption and application of BIM to managing construction projects

    An evaluation of water treatment technologies for sustainable rural communities

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    This paper presents the initial stages of research funded by the Scottish Government to enable an evaluation of the suitability of drinking water treatment technologies at small to medium scales to facilitate the application of the Scottish Government’s Sustainable Rural Communities concept. The research included a technology scan to identify relevant drinking water treatment technologies suitable for small and medium sized rural communities in Scotland and an expert stakeholder workshop to verify and refine the technology inventory. The stakeholder workshop was also used to identify suitable selection criteria for Sustainable Rural Community drinking water projects. The criteria can be used in subsequent multi-stakeholder decision making for the most sustainable treatment options for specific communities. An explanation is provided on the methodology and the types of information that were collected and the outcomes of the research. <br/

    The Main Sequence of Explosive Solar Active Regions: Comparison of Emerging and Mature Active Regions

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    For mature active regions, an active region s magnetic flux content determines the maximum free energy the active region can have. Most Large flares and CMEs occur in active regions that are near their free-energy limit. Active-region flare power radiated in the GOES 1-8 band increases steeply as the free-energy limit is approached. We infer that the free-energy limit is set by the rate of release of an active region s free magnetic energy by flares, CMEs and coronal heating balancing the maximum rate the Sun can put free energy into the active region s magnetic field. This balance of maximum power results in explosive active regions residing in a "mainsequence" in active-region (flux content, free energy content) phase space, which sequence is analogous to the main sequence of hydrogen-burning stars in (mass, luminosity) phase space

    Ontological Problems of Pluralist Research Methodologies

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    An examination of the information systems (IS) and social philosophy literature reveals that much has been written on the relevance of different research methodologies. Within the information systems research community several authors have called for the combining of interpretive and positivist research methodologies. This is an issue which is central to research design. This paper reviews three such calls by IS researchers and argues that cross-paradigmatic research is ill-founded. An alternative, inclusive understanding of the relationships between different forms of IS research will be offered. This alternative view is based on an acceptance of different research methodologies as philosophical equals
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