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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Smart Home Electricity Management In The Context Of Local Power Resources And Smart Grid, Weiliang Zhao, Lan Ding, Paul Cooper, Pascal Perez
Smart Home Electricity Management In The Context Of Local Power Resources And Smart Grid, Weiliang Zhao, Lan Ding, Paul Cooper, Pascal Perez
Faculty of Engineering and Information Sciences - Papers: Part A
This work proposes a smart home electricity management approach that can predict and schedule electricity demand and supply by considering: the 'state' of the smart grid, local power generation capacity, and electrical consumption of household appliances. The prediction of weather conditions and the immediate and longer-term plans of the residential home occupants are crucial parameters in the smart home decision-making system that acts on behalf of the occupants. This paper provides a motivation example and associated scenarios, electrical energy supply/demand models, formalization of the cost optimization problem, and scheduling schemes for a smart home electricity management system in the context …
Wireless Indoor Localisation Using Received Signal Strength Fingerprinting With Context Aware Partitioning, Montserrat Ros, Brendan Schoots, Matthew D'Souza
Wireless Indoor Localisation Using Received Signal Strength Fingerprinting With Context Aware Partitioning, Montserrat Ros, Brendan Schoots, Matthew D'Souza
Faculty of Engineering and Information Sciences - Papers: Part A
Real-time indoor localisation tracking of people with unobtrusive, wearable sensors has valuable potential for a variety of applications such as remote monitoring and tracking of aged-care patients to improve their safety and other care aspects. There are no widely available or costeffective and ubiquitous wireless solutions like GPS for indoor localisation which require no prior infrastructure. Indoor localisation systems are available but most have difficulties operating in confined spaces or cannot localise to within small distances in real-time for moving objects as required for sport and health applications.
Using Context-Aware Sub Sorting Of Received Signal Strength Fingerprints For Indoor Localisation, Montserrat Ros, Brendan Schoots, Matthew D'Souza
Using Context-Aware Sub Sorting Of Received Signal Strength Fingerprints For Indoor Localisation, Montserrat Ros, Brendan Schoots, Matthew D'Souza
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile indoor localisation has numerous uses for logistics, health, sport and social networking applications. Current wireless localisation systems experience reliability difficulties while operating within indoor environments due to interference caused by the presence of metallic infrastructure. Current position localisation use wireless channel propagation characteristics, such as RF receive signal strength to localise a user's position, which is subject to interference. To overcome this, we developed a Fingerprint Context Aware Partitioning tracking model for tracking people within a building. The Fingerprint Context Aware Partitioning tracking model used received RF signal strength fingerprinting, combined with localised context aware information about the user's …