Preface

Carles Gomez, Andrea Prati, Hamid Aghajan, Juan Carlos Augusto
2016 Journal of Ambient Intelligence and Smart Environments  
whom we thank for their work. The back pages of this issue contain information about the 12th International Conference on Intelligent Environments (IE'16) which was recently held in London (UK), and a PhD thesis report. This issue Energy management is one of the main application domains in smart homes and buildings. The paper "A user behaviour-driven smart-home gateway for energy management" by Vastardis et al. provides a novel system architecture and describes the implementation of a
more » ... ic smart-home gateway that manages energy usage. A centralised user-centric component extracts behavioural patterns of the users (by applying machine learning algorithms) and feeds them back to the gateway. The system is validated experimentally in terms of both performance and learning capabilities. Smart homes and other indoor scenarios are witnessing the benefits of advances in automating tasks that typically had been performed manually, requiring significant time and effort. The paper "The complete coverage for the vacuum cleaner robot using pulsecoupled neural network in dynamic environments" by Yakoubi et al. proposes the use of a pulse coupled neural networks (PCNN) model to solve the problem of complete region coverage navigation. Simulation results prove some advantages of their approach, such as reducing path length, CPU time, and number of turns. Ambient Assisted Living (AAL) leverages intelligent systems in order to enhance life quality of people in their living environment. While relevance of this area is increasing as a result of an ageing population, challenges arise in the area of privacy. The paper "Privacy challenges in Ambient Intelligence systems: Lessons learned, gaps and perspectives from the AAL domain and applications" by Caire et al. highlights the specific privacy issues raised in AAL. The paper also reviews and discusses current approaches for privacy preservation, and provides insight on future challenges and opportunities. Authors illustrate the work with AAL scenarios studied in cooperation with the city of Luxembourg. Smart environments generally require information provided by sensors as an input. The paper "Benchmarking sensors in smart environments -Method and use cases" by Braun et al. presents how benchmarking can allow the determination of the most suitable sensor systems for a given application by calculating a single benchmarking score. The benchmarking model used is based on nine selected features that cover aspects of performance, the environment and the pervasiveness of the application. Authors discuss how this model can be applied to capacitive proximity sensors. An expert consensus is required to overcome a limitation of the presented model: its subjective selection of feature categories and weights. Health is one of the main areas motivating the deployment of sensors. The paper "Noise robust footstep location estimation using a wireless acoustic sensor network" by Van Den Broeck et al. provides a method to estimate footstep locations based on audio 1876-1364/16/$35.00
doi:10.3233/ais-160407 fatcat:qhlvnhe3o5gdxprjs4ewevfvei