Search results for "fuzzy"

showing 10 items of 747 documents

Sensor9k : A testbed for designing and experimenting with WSN-based ambient intelligence applications

2012

Ambient Intelligence systems are typically characterized by the use of pervasive equipment for monitoring and modifying the environment according to users' needs, and to globally defined constraints. Our work describes the implementation of a testbed providing the hardware and software tools for the development and management of AmI applications based on wireless sensor and actuator networks, whose main goal is energy saving for global sustainability. A sample application is presented that addresses temperature control in a work environment, through a multi-objective fuzzy controller taking into account users' preferences and energy consumption.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceComputer Networks and Communicationsbusiness.industryComputer scienceDistributed computingTestbedEnergy consumptionProbabilistic reasoningFuzzy logicComputer Science ApplicationsSoftwareEnergy efficiencyHardware and ArchitectureControl theoryEmbedded systemWireless sensor and actuator networkWirelessAmbient intelligencebusinessSoftwareInformation SystemsEfficient energy use
researchProduct

A Fuzzy Adaptive Controller for an Ambient Intelligence Scenario

2014

The definition of effective energy saving strategies capable of satisfying users’ requirements for environmental wellness is a complex task that requires the definition of well-tuned optimization algorithms. Sensory information depends on the environments observed, hence the model adopted to describe it should be adaptive and dynamic. This chapter presents a methodology for the tuning of a fuzzy controller capable of minimizing energy consumption while maximizing the users comfort in an Ambient Intelligence Scenario. A meta-heuristic search algorithm produces different sets of fuzzy rules depending on the needs of the system. An ontology has been developed to describe the configurations of …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFuzzy ruleAmbient intelligenceAmbient IntelligencePervasive SystemsComputer scienceReal-time computingControl reconfigurationControl engineeringEnergy consumptionOntology (information science)Fuzzy logicControl theoryMembership function
researchProduct

High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices

2015

While the vision of Internet of Things (IoT) is rather inspiring, its practical implementation remains challenging. Conventional programming approaches prove unsuitable to provide IoT resource constrained devices with the distributed processing capabilities required to implement intelligent, autonomic, and self-organizing behaviors. In our previous work, we had already proposed an alternative programming methodology for such systems that is characterized by high-level programming and symbolic expressions evaluation, and developed a lightweight middleware to support it. Our approach allows for interactive programming of deployed nodes, and it is based on the simple but effective paradigm of …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInteractive programmingSIMPLE (military communications protocol)MultimediaKnowledge representation and reasoningComputer Networks and CommunicationsComputer scienceDistributed computingcomputer.file_formatKnowledge Representationcomputer.software_genreFuzzy logiclcsh:TelecommunicationSoftware development processResource constrained devicesFuzzy LogicHigh-level programming languageMiddleware (distributed applications)Fuzzy Logic.lcsh:TK5101-6720ExecutableResource constrained devicecomputerHigh-level programmingEAI Endorsed Transactions on Cognitive Communications
researchProduct

A Combined Fuzzy Semantic Similarity Measure In Owl Ontologies

2008

An algorithm is presented in this paper to calculate a semantic similarity measure inside an OWL ontology. The formulation is based on a combined measure taking into account the two most important aspects involved in the similarity computation. These are the structural properties of a concept, and the information content inside the ontology. We define a fuzzy system to blend these information sources with a training process over some ontologies. Finding a similarity measure between concepts of an ontology is a fundamental topic to accomplish information exchange on the Web. Through this measure it is possible to perform sophisticated queries over the web where the user is able to request co…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniOWL ontologieFuzzy measureSemantic similarity measureSemantic Web
researchProduct

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
researchProduct

A genetic algorithm for the design of a fuzzy controller for active queue management

2003

Active queue management (AQM) policies are those\ud policies of router queue management that allow for the detection of network congestion, the notification of such occurrences to the\ud hosts on the network borders, and the adoption of a suitable control\ud policy. This paper proposes the adoption of a fuzzy proportional\ud integral (FPI) controller as an active queue manager for Internet\ud routers. The analytical design of the proposed FPI controller is\ud carried out in analogy with a proportional integral (PI) controller,\ud which recently has been proposed for AQM. A genetic algorithm is\ud proposed for tuning of the FPI controller parameters with respect\ud to optimal disturbance rej…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRouterQueue management systemComputer sciencePID controllerFuzzy control systemRandom early detectionTCP Congestion ControlActive queue managementNetwork CongestionFuzzy logicComputer Science ApplicationsHuman-Computer InteractionNetwork congestionControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringTail dropActive Queue ManagementSoftwareFuzzy Controllers.Information SystemsIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
researchProduct

FUZZY KERNEL REGRESSION FOR REGISTRATION AND OTHER IMAGE WARPING APPLICATIONS

2011

In this dissertation a new approach for non-rigid medical im- age registration is presented. It relies onto a probabilistic framework based on the novel concept of Fuzzy Kernel Regression. The theoric framework, after a formal introduction is applied to develop several complete registration systems, two of them are interactive and one is fully automatic. They all use the composition of local deforma- tions to achieve the final alignment. Automatic one is based onto the maximization of mutual information to produce local affine aligments which are merged into the global transformation. Mutual Information maximization procedure uses gradient descent method. Due to the huge amount of data asso…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniWARPING APPLICATIONSFUZZY KERNEL
researchProduct

Fuzzy techniques for access and data management in home automation environments

2012

Home Automation Environments are characterized by the integration of electronic devices as well as by the performance of communication and control systems. Environment infrastructure has to meet several requirements including Quality of Service (QoS), safety, security, and energy saving. However, Home Automation deals with complex environments, so that advanced data management systems are required to meet the above constraints. Fuzzy Logic based techniques can be successful used to improve system performance management. This work proposes and describes the use and application of fuzzy rules on a two-tiered architecture integrating a biometric authentication module and communication real-tim…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniWireless Sensor Networks Real-time scheduling Biometric Authentication Data Management Fuzzy Techniques
researchProduct

Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration

2009

This paper presents a novel method for medical image regis- tration. The global transformation is obtained by composing affine trans- formations, which are recovered locally from given landmarks. Transfor- mations of adjacent regions are smoothed to avoid blocking artifacts, so that a unique continuous and differentiable global function is obtained. Such composition is operated using a technique derived from fuzzy C- means clustering. The method was successfully tested on several datasets; results, both qualitative and quantitative, are shown. Comparisons with other methods are reported. Final considerations on the efficiency of the technique are explained.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryImage registrationPattern recognitionComposition (combinatorics)Blocking (statistics)Fuzzy logicfree form deformation image registration fuzzy clustering function interpolation.Global transformationComputer visionDifferentiable functionArtificial intelligenceAffine transformationbusinessCluster analysisMathematics
researchProduct

Comprehensive Uncertainty Management in MDPs

2013

Multistage decision-making in robots involved in real-world tasks is a process affected by uncertainty. The effects of the agent’s actions in a physical en- vironment cannot be always predicted deterministically and in a precise manner. Moreover, observing the environment can be a too onerous for a robot, hence not continuos. Markov Decision Processes (MDPs) are a well-known solution inspired to the classic probabilistic approach for managing uncertainty. On the other hand, including fuzzy logics and possibility theory has widened uncertainty representa- tion. Probability, possibility, fuzzy logics, and epistemic belief allow treating dif- ferent and not always superimposable facets of unce…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryProcess (engineering)Probabilistic logicFuzzy logicPossibility distributionUncertainty representationuncertainty Markov Decision Process believabilityRobotArtificial intelligenceMarkov decision processbusinessPossibility theoryMathematics
researchProduct