997 resultados para building footprint
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Case study on two initiatives at Leeds City College to enhance the student digital experience and develop leadership skills, competencies and experience that will prepare student for future study and employment.
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(PDF contains 2 pages)
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This is a version of the Jisc ‘Six Elements of Digital Capabilities’ model, specifically to support Jisc’s members in the area of Digital Leadership. It is one example of the base model being used in a particular context and is not meant to be definitive.
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This is a version of the Jisc ‘Six Elements of Digital Capabilities’ model, specifically for learners. It is an update on the earlier ‘7 elements of digital literacy’ model (2009) and has many continuities with this framework. This version was produced in response to feedback that the base model alone does not provide enough detail to support embedding into practice. However, it is an example of how the base model could be used to define the digital capabilities of learners and is meant to be adapted to suit specific settings.
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This is a version of the Jisc ‘Six Elements of Digital Capabilities’ model, specifically to support Jisc’s members in the area of Digital Leadership. It is one example of the base model being used in a particular context and is not meant to be definitive.
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This is a version of the Jisc ‘Six Elements of Digital Capabilities’ model, specifically for research students and research sta . It is an update on the earlier ‘7 elements of digital literacy’ model (2009) and has many continuities with this framework. It is one example of how the base model is being used.
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A digital capability framework which describes the skills needed by staff in a wide range of academic, administrative and professional roles to thrive in a digital environment. This will provide a structure to help managers and individuals understand what is needed and supports the development of tools. We have produced an initial model of the framework which describes digital capability as six overlapping elements.
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This is a version of the Jisc ‘Six Elements of Digital Capabilities’ model, specifically for teaching sta or for academic sta in their teaching role. It is an update on the earlier ‘7 elements of digital literacy’ model (2009) and has many continuities with this framework. This version was produced in response to feedback that the base model alone does not provide enough detail to support embedding into practice. However, it is an example of how the base model could be used to define the digital capabilities of teaching sta and is meant to be adapted to suit specific settings.
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This report covers findings from a project funded by Jisc to review how the digital capabilities of teaching and professional sta are currently framed in UK HE and FE. The project also reported on the learning, technology and organisational landscape for UK HE and FE as this influences future requirements for sta digital capability.
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This document is part of a series of 5 technical manuals produced by the Challenge Program Project CP34 “Improved fisheries productivity and management in tropical reservoirs”. This manual is based on the experience gained by the partners of the project “Improved Fisheries Productivity and Management in Tropical Reservoirs” (CP34) funded by the Challenge Program on Water and Food. As part of this project, the partners designed, developed and tested in the field three enclosures in Lake Nasser in Egypt. The objective of the manual is to document for practitioners the main technical lessons gained from these experiments. (Document contains 16 pages)
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This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective projection of planar structures. Data are provided by calibrated aerial images. The novelty of the approach lies in its featurelessness and in its use of direct optimization based on image rawbrightness. The proposed framework avoids feature extraction and matching. The 3D polyhedral model is directly estimated by optimizing an objective function that combines an image-based dissimilarity measure and a gradient score over several aerial images. The optimization process is carried out by the Differential Evolution algorithm. The proposed approach is intended to provide more accurate 3D reconstruction than feature-based approaches. Fast 3D model rectification and updating can take advantage of the proposed method. Several results and evaluations of performance from real and synthetic images show the feasibility and robustness of the proposed approach.