Now showing items 1-12 of 12

    • An approach to situation recognition based on learned semantic models 

      Stevenson, Graeme (University of St Andrews, 2015-06-24) - Thesis
      A key enabler of pervasive computing is the ability to drive service delivery through the analysis of situations: Semantically meaningful classifications of system state, identified through analysing the readings from ...
    • Coupled complex networks : structure, adaptation and processes 

      Shai, Saray (University of St Andrews, 2014-11) - Thesis
      In the last 15 years, network science has established itself as a leading scientific tool for the study of complex systems, describing how components in a system interact with one another. Understanding the structure and ...
    • Detecting abnormal events on binary sensors in smart home environments 

      Ye, Juan; Stevenson, Graeme; Dobson, Simon (2016-12) - Journal article
      With a rising ageing population, smart home technologies have been demonstrated as a promising paradigm to enable technology-driven healthcare delivery. Smart home technologies, composed of advanced sensing, computing, and ...
    • Facilitating a well-founded approach to autonomic systems 

      Dobson, Simon (IEEE Computer Society, 2008-04) - Conference item
      While it is desirable for all computing and communications systems to have well-defined and verifiable behaviour, autonomic systems must additionally guarantee that their adaptive behaviour is correct, both in the sense ...
    • Fault detection for binary sensors in smart home environments 

      Ye, Juan; Stevenson, Graeme; Dobson, Simon (IEEE Computer Society, 2015-03-23) - Conference item
      Experiments in assisted living confirm that such systems can provide context-aware services that enable occupants to remain active and independent. They also demonstrate that abnormal sensor events hamper the correct ...
    • From physical models to well-founded control 

      Dobson, Simon; Coyle, Lorcan; O'Hare, G. M. P.; Hinchey, Mike (IEEE Computer Society, 2009-04) - Conference item
      Mobile sensors are an attractive proposition forenvironmental sensing, but pose significant engineering problems. Not leastamongst these is the need to match the behaviour of the sensor platform to thephysical environment ...
    • Fulfilling the vision of autonomic computing 

      Dobson, Simon; Sterritt, Roy; Nixon, Paddy; Hinchey, Mike (2010-01) - Journal article
      Efforts since 2001 to design self-managing systems have yielded many impressive achievements, yet the original vision of autonomic computing remains unfulfilled. Researchers must develop a comprehensive systems engineering ...
    • Making sense of the world : framing models for trustworthy sensor-driven systems 

      Calder, Muffy; Dobson, Simon; Fisher, Micahel; McCann, Julie (2018-11-15) - Journal article
      Sensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? ...
    • Multi criteria adaptation mechanisms in homological sensor networks 

      Zhang, Hui; Nixon, Paddy; Dobson, Simon (IEEE, 2008-11) - Conference item
      One fundamental feature of sensor network is unpredictable and this brings us a challenge of how to design an adaptation mechanism to let a sensor network adjust itself based on current "context" and pre-defined network ...
    • A top-level ontology for smart environments 

      Ye, Juan; Stevenson, Graeme; Dobson, Simon (Elsevier, 2011-06) - Journal article
      Recognising human activities is a problem characteristic of a wider class of systems in which algorithms interpret multi-modal sensor data to extract semantically meaningful classifications. Machine learning techniques ...
    • Using unsupervised machine learning for fault identification in virtual machines 

      Schneider, Christopher (University of St Andrews, 2015) - Thesis
      Self-healing systems promise operating cost reductions in large-scale computing environments through the automated detection of, and recovery from, faults. However, at present there appears to be little known empirical ...
    • Wireless sensor network control through statistical methods 

      Fang, Lei (University of St Andrews, 2015) - Thesis
      Wireless Sensor Networks (WSNs) form a new paradigm of computing that allows the physical world to be measured at an unprecedented resolution; and the importance of the technology has been increasingly recognised. However, ...