662,055 research outputs found

    Scaffolding, organisational structure and interpersonal interaction in musical activities with older people

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    The research reported here focuses on the organizational structure and facilitator strategies observed in musical activities with older people. The observations formed one part of the Music for Life Project, funded by the ESRC New Dynamics of Ageing Programme (http://www.newdynamics.group.shef.ac.uk/), which investigated the social, emotional and cognitive benefits of participation in community music making, amongst older people. Three hundred and ninety eight people aged 50+ were recruited from three case study sites offering diverse musical activities. Observations of 33 groups were analysed. Approximately half of the observed time was spent with participants engaged in practical music-making, supported by facilitators who sang or played along, conducted or accompanied. Facilitators spent a relatively small amount of time providing non-verbal modelling and very little participant discussion or facilitator attributional feedback was observed. The findings suggested that facilitators could develop their practice by a) making more extensive use of non-verbal modelling; b) creating space for open questioning and discussion, where participants are encouraged to contribute to setting goals; c) making more extensive use of attributional feedback that empowers learners to control their own learning; and d) vary the organizational structure and style in order to meet a range of diverse needs within groups of older learners

    Automated Markerless Extraction of Walking People Using Deformable Contour Models

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    We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion. This forms a basis for new deformable contour models, using local image cues to capture shape and motion at a more detailed level. We extend the greedy snake formulation to include temporal constraints and occlusion modelling, increasing the capability of this technique when dealing with cluttered and self-occluding extraction targets. This approach is evaluated on a large database of indoor and outdoor video data, demonstrating fast and autonomous motion capture for walking people

    The Construction of Verification Models for Embedded Systems

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    The usefulness of verification hinges on the quality of the verification model. Verification is useful if it increases our confidence that an artefact bahaves as expected. As modelling inherently contains non-formal elements, the qualityof models cannot be captured by purely formal means. Still, we argue that modelling is not an act of irrationalism and unpredictable geniality, but follows rational arguments, that often remain implicit. In this paper we try to identify the tacit rationalism in the model construction as performed by most people doing modelling for verification. By explicating the different phases, arguments, and design decisions in the model construction, we try to develop guidelines that help to improve the process of model construction and the quality of models

    Transformer Networks for Trajectory Forecasting

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    Most recent successes on forecasting the people motion are based on LSTM models and all most recent progress has been achieved by modelling the social interaction among people and the people interaction with the scene. We question the use of the LSTM models and propose the novel use of Transformer Networks for trajectory forecasting. This is a fundamental switch from the sequential step-by-step processing of LSTMs to the only-attention-based memory mechanisms of Transformers. In particular, we consider both the original Transformer Network (TF) and the larger Bidirectional Transformer (BERT), state-of-the-art on all natural language processing tasks. Our proposed Transformers predict the trajectories of the individual people in the scene. These are "simple" model because each person is modelled separately without any complex human-human nor scene interaction terms. In particular, the TF model without bells and whistles yields the best score on the largest and most challenging trajectory forecasting benchmark of TrajNet. Additionally, its extension which predicts multiple plausible future trajectories performs on par with more engineered techniques on the 5 datasets of ETH + UCY. Finally, we show that Transformers may deal with missing observations, as it may be the case with real sensor data. Code is available at https://github.com/FGiuliari/Trajectory-Transformer.Comment: 18 pages, 3 figure

    Transport and Older People: Integrating Transport Planning Tools with User Needs

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    This study was funded through a pump-priming grant from the Strategic Promotion of Ageing Research Capacity (SPARC) programme. The purpose of the project was to bring together transport and public health research in order to demonstrate how the involvement of older people can help improve tools for transport planning. The study was unique in that it brought together public health and transport planning and engineering with older people to consider how services can be more responsive to older peopleā€™s transport needs. The project had five research objectives: 1. To investigate how accessibility problems impact on older peopleā€™s independence 2. To determine the extent to which currently available data sources and modelling tools reflect older peopleā€™s stated accessibility needs 3. To understand how the gap between expected and perceived accessibility problems varies across different categories of older people 4. To pilot techniques that could be applied to provide a more robust measure of accessibility for older people. 5. To build new research capacity across disciplines to develop a national focus on the interactions between ageing and transport planning. The methods were determined on the basis of ā€˜appropriate tools with maximum outputā€™. Focus group interviews were selected as a useful tool for reaching a large number of older people within a limited time span, for providing an arena for discussion and debate about a topical subject and for generating ideas for improving transport planning. Following the interviews accompanied walks were undertaken with older people in a range of road environments and traffic situations. The purpose of these walks was to observe and explore the way older people interact with their environment. Data from the focus group interviews and the observations were compared with the outputs from an accessibility planning tool used by local authorities to plan accessible and acceptable transport routes (Accessionā„¢). The purpose of this exercise was to investigate whether or not such tools are able to take into account the varying needs of older people. The study was undertaken over eight months. Eighty one older people living in the Leeds district took part in the focus groups. They covered a broad range of mobility levels and used a variety of transport types, as such a reasonably rounded perspective on the issues concerned was offered. In addition six walks were undertaken with older people in their community

    Expressing business rules : a fact based approach : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Information Systems at Massey University, Palmerston North, New Zealand

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    Numerous industry surveys have suggested that many IT projects still end in failure. Incomplete, ambiguous and inaccurate specifications are cited as a major causal factor. Traditional techniques for specifying data requirements often lack the expressiveness with which to model subtle but common features within organisations. As a consequence, categories of business rules that determine the structure and behaviour of organisations may not be captured until the latter stages of the systems development lifecycle. A fact-based technique called Object Role Modelling (ORM) has been investigated as an altemative approach for specifying data requirements. The technique's ability to capture and represent a wide range of data requirements rigorously, but still in a form comprehensible to business people, could provide a powerful tool for analysts. In this report, ORM constructs have been synthesised with the concepts and definitions provided by the Business Rules Group (BRG), who have produced a detailed taxonomy of business rule categories. In doing so, business rules discovered in an organisation can be expressed in a form that is meaningful to both analysts and business people. Exploiting the expressive simplicity of a conceptual modelling technique to articulate an organisation's business rules could help to fill a significant requirements gap

    Scoping exercise on fallersā€™ clinics : report to the National Co-ordinating Centre for NHS Service Delivery and Organisation R & D (NCCSDO)

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    The National Service Framework for Older People has stated the need for fall-prevention programmes. An appraisal of fallersā€™ clinics launched by the National Institute for Health and Clinical Excellence (NICE) was suspended because of a lack of information regarding existing services and typology. This project aimed to determine the feasibility of conducting economic modelling to appraise fallersā€™ clinics. To achieve this a national survey of services and reviews of the evidence of effectiveness of various models of fallersā€™ clinics and screening tools were undertaken

    STA Data Model for Effective Business Process Modelling

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    AbstractBusiness process management (BPM) is becoming popular in business, and the business process modelling is a way of representing an organisation to enable its analysis and improvement. A business-friendly modelling is very helpful for business people, and also can act as a communication tool between them and technical IT people. This paper focuses on a new data model, called Source-Transaction-Agent (STA) data model, as a modelling technique for business process modelling. STA data model uses business metadata to assist business and IT person to communicate and participate effectively and efficiently in business data modelling of a system development process. The STA data model uses relational database concept and semantic data modelling, developed by combining Resource-Event-Agent (REA) data model and form-based approach. Entity Relationship Diagram (ERD) is used as the benchmark for the STA effectiveness evaluation. The results show that the STA data model is an effective data model technique for business process modelling
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