Search results for "home automation"

showing 10 items of 34 documents

Model-Driven Development Approach for Providing Smart Home Services

2009

Smart home is about the application of automation techniques for the comfort and security of residents' privately owned homes. In a smart home environment, different and independent embedded devices provide services that can be freely used by others, in the sense of service invocation. This paper presents our idea of using Model Driven Development (MDD) for the composition of existing services, by which we aim at demonstrating how new smart home services will be promoted.

Service (business)Model driven developmentbusiness.industryComputer scienceHome automationInternet of ThingsbusinessComputer securitycomputer.software_genrecomputerAutomation
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PMG-pro: A model-driven method for the development of service-based applications in a heterogenous services environment

2010

This paper presents PMG-pro (present, model, generate and provide), a development method of service-based applications. With PMG-pro, the composition of heterogeneous pre-made services is done at model levels and thereby different executable software systems for different target platforms can be generated automatically. To illustrate the method, we present a case study of developing a service-based application in a smart home environment.

Service (systems architecture)Javabusiness.industryService delivery frameworkComputer scienceDistributed computingcomputer.file_formatcomputer.software_genreUnified Modeling LanguageHome automationEmbedded systemExecutableSoftware systemWeb servicebusinesscomputercomputer.programming_language2010 IEEE International Conference on Software Engineering and Service Sciences
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Model-based approaches for the development of event-based systems using embedded services

2010

This paper presents a development use case of event-based system using (embedded) services specified in UPnP specification. Although we use only UPnP, we considered that the use case is also applicable for other (XML-based) service description technologies.

Service (systems architecture)business.industrycomputer.internet_protocolComputer scienceEvent basedComputerApplications_COMPUTERSINOTHERSYSTEMSDevelopment (topology)Home automationServerEmbedded systemUniversal Plug and PlayThe InternetSoftware engineeringbusinesscomputerXML2010 2nd International Conference on Computer Technology and Development
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Energy and environmental impacts of home automation components

2014

Life Cycle Assessment is applied to estimate the life cycle energy and environmental impacts of five components used in the home automation systems: an electricity meter, an actuator with an integrated current sensor, a web server audio/video, an interface with infrared emitter, a multimedia touch screen. For each component, the impacts related to “one unit of product” (selected as functional unit) are assessed following a “from cradle to grave” approach, including the manufacturing, operation and end-of-life steps. The results showed that the operation step gives a contribution higher than 54% on primary energy consumption and variable from about 54% to about 99% on environmental impacts, …

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/11 - Fisica Tecnica AmbientaleLife Cycle Assessment home automation energy environmental impacts
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Smart Auctions for Autonomic Ambient Intelligence Systems

2020

The main goal of Ambient Intelligence (AmI) is to support users in their daily activities by satisfying and anticipating their needs. To achieve such goal, AmI systems rely on physical infrastructures made of heterogenous sensing devices which interact in order to exchange information and perform monitoring tasks. In such a scenario, a full achievement of AmI vision would also require the capability of the system to autonomously check the status of the infrastructure and supervise its maintenance. To this aim, in this paper, we extend some previous works in order to allow the self-management of AmI devices enabling them to directly interact with maintenance service providers. In particular,…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceAmbient IntelligenceComputer sciencebusiness.industryMulti-agent systemSmart Contracts.020206 networking & telecommunications02 engineering and technologyTrusted ComputingService providerTrusted third partyComputer securitycomputer.software_genreMaintenance engineeringHome automation0202 electrical engineering electronic engineering information engineeringCommon value auction020201 artificial intelligence & image processingbusinesscomputer2020 IEEE International Conference on Smart Computing (SMARTCOMP)
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Intelligent Management Systems for Energy Efficiency in Buildings: A Survey

2014

In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor o…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBuilding management systemAmbient intelligenceGeneral Computer ScienceAmbient intelligence; Building management systems; Energy savingbusiness.industryComputer scienceManagement scienceEnergy managementBuilding management systemsEnergy consumptionTheoretical Computer ScienceBuilding management systems energy saving ambient intelligenceRisk analysis (engineering)Home automationEnergy savingSustainabilityDesign choiceAmbient intelligencebusinessEfficient energy use
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Social-Behavioral Aware Optimization of Energy Consumption in Smart Homes

2018

Residential energy consumption is skyrocketing, as residential customers in the U.S. alone used 1.4 trillion kilowatt-hours in 2014 and the consumption is expected to increase in the next years. Previous efforts to limit such consumption have included demand response and smart residential environments. However, recent research has shown that such approaches can actually increase the overall energy consumption due to the numerous complex human psychological processes that take place when interacting with electrical appliances. In this paper we propose a social-behavioral aware framework for energy management in smart residential environments. We envision a smart home where appliances are int…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniConsumption (economics)Smart HomeInformation Systems and ManagementOperations researchbusiness.industryComputer scienceHeuristic (computer science)Energy management020209 energySocial-Behavioral aware OptimizationEnergy Consumption02 engineering and technologyEnergy consumptionDemand responseComputer Networks and CommunicationHome automation0202 electrical engineering electronic engineering information engineeringSet (psychology)businessInteger programming2018 14th International Conference on Distributed Computing in Sensor Systems (DCOSS)
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Context-awareness for multi-sensor data fusion in smart environments

2016

Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deployed in smart environments. However, data coming from sensors are often noisy and inaccurate, and thus probabilistic techniques, such as Dynamic Bayesian Networks, are often adopted to explicitly model the noise and uncertainty of data. This work proposes to improve the accuracy of probabilistic inference systems by including context information, and proves the suitability of such an approach in the application scenario of user activity recognition in a smart home environment. However, the selection of the most convenient set of context information to be considered is not a trivial task. To thi…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEngineeringMulti-sensor data fusionbusiness.industryProbabilistic logicContext awareneInferencecomputer.software_genreMachine learningSensor fusionTheoretical Computer ScienceActivity recognitionDynamic Bayesian NetworkHome automationComputer ScienceContext awarenessSmart environmentData miningArtificial intelligencebusinesscomputerDynamic Bayesian network
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A fog-based hybrid intelligent system for energy saving in smart buildings

2019

In recent years, the widespread diffusion of pervasive sensing devices and the increasing need for reducing energy consumption have encouraged research in the energy-aware management of smart environments. Following this direction, this paper proposes a hybrid intelligent system which exploits a fog-based architecture to achieve energy efficiency in smart buildings. Our proposal combines reactive intelligence, for quick adaptation to the ever-changing environment, and deliberative intelligence, for performing complex learning and optimization. Such hybrid nature allows our system to be adaptive, by reacting in real time to relevant events occurring in the environment and, at the same time, …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniQA75General Computer ScienceAmbient Intelligence Fuzzy Systems Fog Computing Energy Efficiencybusiness.industryComputer scienceDistributed computingComputational intelligence02 engineering and technologyEnergy consumptionHybrid intelligent systemHome automation020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSmart environmentbusinessAdaptation (computer science)Efficient energy useBuilding automationJournal of Ambient Intelligence and Humanized Computing
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Definition and application of innovative control logics for residential energy optimization

2014

In this paper different innovative control logics for electric and thermal loads control in residential buildings are presented. The designed control logics are implementable in residential buildings thanks to Building Automation Control Systems (BACS) and Technical Building Management (TBM) systems. They have been tested using a simulation tool developed by the authors that is able to assess their effects on residential buildings having various characteristics and equipments. An application example is presented.

Smart HomeEngineeringArchitectural engineeringBuilding and home automationBuilding scienceResidential energybusiness.industryControl (management)Smart GridsSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaControl systembusinessBuilding managementBuilding automation
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