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The world is rich with information such as signage and maps to assist humans to navigate. We present a method to extract topological spatial information from a generic bitmap floor plan and build a topometric graph that can be used by a mobile robot for tasks such as path planning and guided exploration. The algorithm first detects and extracts text in an image of the floor plan. Using the locations of the extracted text, flood fill is used to find the rooms and hallways. Doors are found by matching SURF features and these form the connections between rooms, which are the edges of the topological graph. Our system is able to automatically detect doors and differentiate between hallways and rooms, which is important for effective navigation. We show that our method can extract a topometric graph from a floor plan and is robust against ambiguous cases most commonly seen in floor plans including elevators and stairwells.

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First year medical laboratory science students (up to 120) undertake a group e-poster project, based in a blended learning model Google Drive, encompassing Google’s cloud computing software, provides a readily accessible, transparent online space for students to collaborate with each other and realise tangible outcomes from their learning The Cube provides an inspiring digital learning display space for student ‘conference style’ presentations

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Novel profluorescent mono- and bis-​isoindoline nitroxides linked to naphthalimide and perylene diimide structural cores are described. These nitroxide-​fluorophore probes display strongly suppressed fluorescence in comparison to their corresponding non-​radical diamagnetic methoxyamine derivs. The perylene-​based probe possessing two isoindoline systems tethered through ethynyl linkages was shown to be the most photostable in soln., demonstrating significantly enhanced longevity over the 9,​10-​bis(phenylethynyl)​anthracene fluorophore used in previous profluorescent nitroxide probes.