The Whitby life of Gregory the Great: exegesis and hagiography

The eight-century Whitby Vita Gregorii is one of the earliest examples of Anglo-Saxon hagiography, and is the earliest surviving life of Gregory the Great (590-604). The work has proved itself an anomaly in subject matter, style and approach, not least because of the writer’s apparently arbitrary insertion of an account of the retrieval of the relics of the Anglo-Saxon King Edwin (d.633). There has, however, been relatively little research on the document to date, the most recent concentrating on elements in the Gregorian material in the work. The present thesis adapts a methodology which identifies patristic exegetical themes and techniques in the Vita. That is not only in material originating from the pen of Gregory himself, which is freely quoted and cited by the writer, but also in the narrative episodes concerning the Pope. It also identifies related exegetical themes underlying the narrative of the Anglo-Saxon material in the document, and this suggests that the work is of much greater coherence then has previously been thought. In the course of the thesis some of the Vita Gregorii’s major patristic themes are compared with Bede and other insular writers in the presentation of topics that have been of considerable interest to insular historians in recent years. That is themes including: the conversion and salvation of the English people; the ideal pastor; monastic influence on formation of Episcopal spiritual authority; relations between king and bishop. The thesis also includes a re-evaluation of the possible historical context and purpose of the work, and demonstrates the value of a proper understanding of the Vita’s spiritual nature in order to achieve this. Finally the research is supported by a new structural analysis of the entire Vita Gregorii as an artefact formed within literary traditions.

Occupant location prediction in smart buildings using association rule mining

Heating, ventilation, air conditioning (HVAC) systems are significant consumers of energy, however building management systems do not typically operate them in accordance with occupant movements. Due to the delayed response of HVAC systems, prediction of occupant locations is necessary to maximize energy efficiency. We present an approach to occupant location prediction based on association rule mining, allowing prediction based on historical occupant locations. Association rule mining is a machine learning technique designed to find any correlations which exist in a given dataset. Occupant location datasets have a number of properties which differentiate them from the market basket datasets that association rule mining was originally designed for. This thesis adapts the approach to suit such datasets, focusing the rule mining process on patterns which are useful for location prediction. This approach, named OccApriori, allows for the prediction of occupants’ next locations as well as their locations further in the future, and can take into account any available data, for example the day of the week, the recent movements of the occupant, and timetable data. By integrating an existing extension of association rule mining into the approach, it is able to make predictions based on general classes of locations as well as specific locations.