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Browsing Faculty of Science and Engineering by Author "Cahill, Vinny"

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Browsing Faculty of Science and Engineering by Author "Cahill, Vinny"

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  • Brennan, Shane; Cahill, Vinny; Clarke, Siobhán (2009)
    Timing analysis is the application of one or more well-established predictive methods to derive the likely timing behaviour of a specific software task executing on a particular hardware platform. Current approaches ...
  • Carton, Andrew; Clarke, Siobhán; Senart, Aline; Cahill, Vinny (IEEE Computer Society, 2007)
    The development of applications for pervasive computing presents a number of challenges to the software engineer. In particular, application adaptation based on context such as environmental factors, device limitations ...
  • Salkham, As'ad; Cunningham, Raymond; Garg, Anurag; Cahill, Vinny (IEEE Computer Society, 2008)
    The high growth rate of vehicles per capita now poses a real challenge to efficient Urban Traffic Control (UTC). An efficient solution to UTC must be adaptive in order to deal with the highly-dynamic nature of urban ...
  • Sterritt, Ashley; Cahill, Vinny (IEEE Computer Society, 2008)
    The Model-to-Model (M2M) transformation stage in a Model-Driven Engineering (MDE) tool chain is used to bridge the large semantic gap between problem-domain abstractions and software artefacts. This transformation is ...
  • Čurn, Jan; Marinescu, Dan; O'Hara, Niall; Cahill, Vinny (IEEE Computer Society, 2013)
    In this paper we consider the problem of cooperative vehicle localisation, in which a group of vehicles are driving in an outdoor environment, each estimating their position using a global positioning system (GPS) and ...
  • Dusparic, Ivana; Cahill, Vinny; SFI (IEEE Computer Society, 2009)
    Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all agents may be implementing all policies at all ...
  • Tennina, Stefano; Bouroche, Mélanie; Braga, Pedro; Gomes, Ricardo; Alves, Mario; Mirza, Farrukh; Ciriello, Vincenzo; Carrozza, Gabriella; Oliveira, Pedro; Cahill, Vinny (IEEE Computer Society, 2011)
    Wireless sensor networks (WSNs) have attracted growing interest in the last decade as an infrastructure to support a diversity of ubiquitous computing and cyber-physical systems. However, most research work has focused on ...
  • Asplund, Mikael; Manzoor, Atif; Bouroche, Mélanie; Clarke, Siobhán; Cahill, Vinny (Springer, 2012)
    Increasing demands on safety and energy e ciency will re- quire higher levels of automation in transportation systems. This in- volves dealing with safety-critical distributed coordination. In this paper we demonstrate ...
  • Marinescu, Andrei; Harris, Colin; Dusparic, Ivana; Cahill, Vinny; Clarke, Siobhán (IEEE Computer Society, 2014)
    Microgrid management and scheduling can considerably benefit from day-ahead demand forecasting. Until now, most of the research in the field of electrical demand forecasting has been done on large-scale systems, such ...
  • Taylor, Adam; Galván-López, Edgar; Clarke, Siobhán; Cahill, Vinny (2012)
    A key change in the move to Smart Grids (SGs) is the use of dynamic pricing; this together with less reliable energy from renewable resources makes optimising electricity use highly complex. For smart-devices to function ...
  • O'Hara, Niall; Slot, Marco; Marinescu, Dan; Čurn, Jan; Yang, Dawei; Asplund, Mikael; Bouroche, Mélanie; Clarke, Siobhán; Cahill, Vinny (IEEE Computer Society, 2012)
    Research and development in the field of intelligent transportation systems (ITS) can be costly in terms of both time and money. A significant initial and ongoing investment is often required in order to obtain a physical ...
  • Dusparic, Ivana; Cahill, Vinny (IFAAMAS, 2009)
    This paper addresses the challenge of multi-policy optimization in decentralized autonomic systems. We evaluate several multi-policy reinforcement learning-based optimization techniques in an urban tra c control simulation, ...
  • Galván-López, Edgar; Harris, Colin; Dusparic, Ivana; Clarke, Siobhán; Cahill, Vinny (IEEE Computer Society, 2012)
    Smart Grid technologies are becoming increasingly dynamic, so the use of computational intelligence is becoming more and more common to support the grid to automatically and intelligently respond to certain requests ...
  • Marinescu, Andrei; Harris, Colin; Dusparic, Ivana; Clarke, Siobhán; Cahill, Vinny (2013)
    Applications such as generator scheduling, household smart device scheduling, transmission line overload management and microgrid islanding autonomy all play key roles in the smart grid ecosystem. Management of these ...
  • Driver, Cormac; Cahill, Vinny; Clarke, Siobhán (IEEE Computer Society, 2008)
    Model-driven engineering (MDE) addresses platform complexity issues by abstracting platformindependent models for subsequent transformation to platform-specific models. This facilitates the design of a single system ...
  • Harris, Colin; Dusparic, Ivana; Galván-López, Edgar; Marinescu, Andrei; Cahill, Vinny; Clarke, Siobhán (IEEE Computer Society, 2014)
    Many countries envisage a future where renewable electricity will be the predominant energy source. For example, Ireland’s smart grid roadmap has targets of 40% of electricity from renewables by 2020 and 80% by 2050. To ...
  • Karpinski, Marcin; Cahill, Vinny (Association for Computing Machinery, 2008)
    Wireless sensor, actuator networks distinguish themselves from wireless sensor networks by the need to coordinate actuators’ actions, real-time constraints on communication and the frequently feedback-based nature of ...
  • Taylor, Adam; Duparic, Ivana; Galván-López, Edgar; Clarke, Siobhán; Cahill, Vinny (2013)
    Transfer Learning(TL) has been shown to significantly accelerate the convergence of a reinforcement learning process. TL is the process of reusing learned information across tasks. Information is shared between a ...
  • Dusparic, Ivana; Cahill, Vinny; SFI (Springer-Verlang, 2009)
    Large-scale autonomic systems are required to self-optimize with respect to high-level policies, that can differ in terms of their priority, as well as their spatial and temporal scope. Decentralized multiagent systems ...

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