170,139 research outputs found

    Interoperable services based on activity monitoring in ambient assisted living environments

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    Ambient Assisted Living (AAL) is considered as the main technological solution that will enable the aged and people in recovery to maintain their independence and a consequent high quality of life for a longer period of time than would otherwise be the case. This goal is achieved by monitoring human’s activities and deploying the appropriate collection of services to set environmental features and satisfy user preferences in a given context. However, both human monitoring and services deployment are particularly hard to accomplish due to the uncertainty and ambiguity characterising human actions, and heterogeneity of hardware devices composed in an AAL system. This research addresses both the aforementioned challenges by introducing 1) an innovative system, based on Self Organising Feature Map (SOFM), for automatically classifying the resting location of a moving object in an indoor environment and 2) a strategy able to generate context-aware based Fuzzy Markup Language (FML) services in order to maximize the users’ comfort and hardware interoperability level. The overall system runs on a distributed embedded platform with a specialised ceiling- mounted video sensor for intelligent activity monitoring. The system has the ability to learn resting locations, to measure overall activity levels, to detect specific events such as potential falls and to deploy the right sequence of fuzzy services modelled through FML for supporting people in that particular context. Experimental results show less than 20% classification error in monitoring human activities and providing the right set of services, showing the robustness of our approach over others in literature with minimal power consumption

    I contenitori alimentari, tra innovazione e problematiche connesse

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    La filiera del packaging interagisce con tutti i settori dell'industria, ma è il settore alimentare che rappresenta il principale sbocco per oltre la metà degli imballaggi prodotti

    Error Mitigation in Quantum Measurement through Fuzzy C-Means Clustering

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    Recently, Quantum Computing is entered in the so-called Noisy Intermediate-Scale Quantum (NISQ) era, where devices characterized by a few number of qubits are potentially able to overcome classical computers in performing specific tasks. However, noise in quantum operators still limits the size of quantum circuits that can be run in a reliable way. Consequently, there is a strong need for error mitigation approaches aimed at increasing reliability in quantum computation and making this paradigm really useful and productive in real world applications. In this paper, a fuzzy method, such as Fuzzy C-Means (FCM) clustering, has been used, for the very first time, to support the identification of matrices for error mitigation in quantum measurement. As shown in experiments, mitigation matrices identified with the support of FCM are able to strongly reduce error in computation when compared to mitigation matrices conventionally identified, like those used by IBM in its quantum library named Qiskit

    Fuzzy markup language: a XML based language for enabling full interoperability in fuzzy systems design

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    Historically, the theory of fuzzy logic has been strongly used for enabling designers of industrial controllers and intelligent decision making frameworks to model complex systems by expressing their expertise through simple linguistic rules. Nevertheless, the design activity of a fuzzy system may be affected by strong difficulties related to the implementation of a same system on different hardware architectures, each one characterized by a proper set of electrical/electronic/ programming constraints. These difficulties could become very critical when a fuzzy system needs to be deployed in distributed environments populated by a collection of interacting and heterogeneous hardware devices. Fuzzy Markup Language (FML) is a XML-based language whose main aim is to bridge the aforementioned implementation gaps by introducing an abstract and unified approach for designing fuzzy systems in hardware independent way. In details, FML is a novel specific-purpose computer language that defines a detailed structure of fuzzy control independent from its legacy representation and improve systems’ designers capabilities by providing them with a collection of facilities speeding up the whole development process of a centralized or distributed fuzzy system. This chapter is devoted to introduce FML details, an application sample, and it will provided some initial aspects about FML-II, a FML grammar extension aimed at modeling Type-II fuzzy system

    On the optimal shape of a thin insulating layer

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    We are interested in the thermal insulation of a bounded open set Ω\Omega surrounded by a set whose thickness is locally described by εh\varepsilon h, where hh is a non-negative function defined on the boundary Ω\partial\Omega. We study the problem in the limit for ε\varepsilon going to zero using a first-order asymptotic development by Γ\Gamma-convergence

    Food hazard: the prevention in the consumer protection

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    Prerequisite of food quality is the security that is continuously threatened by the various dangers, involving the need of appropriate control measures to prevent, eliminate or reduce them to acceptable levels. There are different standards to guarantee quality, not least the ISO 22000:2005 which aims to security management in the food companies; it through development, deployment and certification enables companies to operate with a logic of improvement. Always the control of food and, therefore, sanitary prevention were based on these actions: raw material inspection, supervision of staff handling, monitoring of equipment and utensils used, until control of procedures; these allow the detection of possible sources of contamination, the effect of treatments and the survival of microorganisms. In this work the authors report some examples of application with the above standard by analyzing possible risks associated with various stages of food production in order to determine the control measures

    News to the european regulation in food additives

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    In this work the authors intend to show the figure of the consumer, that constantly searchs for natural products, as agreed upon synonymous with healthy food, he shows a growing skepticism toward the use of additives and preservatives and dyes in particular. This area was recently reviewed by the European Community, because, with the enactment of the new regulations will update the list of additives, enzymes and food flavorings, meaning it not only the addition or removal of a substance, but also revisiting of all those already covered previously

    An enhanced visual environment for designing, testing and developing FML-based fuzzy systems

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    Fuzzy Logic Controllers (FLCs) represent one of the most successful methodologies exploiting fuzzy logic to model complex systems characterized by ambiguity and vagueness. Fuzzy logic applied in the control theory allows to reduce the complexity of the FLC design process thanks to the linguistic representation of the systems’ behaviour. However, in spite of their benefit, the implementation of FLCs is affected by a significant drawback, i.e., the strong dependence on hardware architecture. In order to overcome this limitation, an XML-based language, named Fuzzy Markup Language (FML), has been introduced. FML allows designers to model FLCs in a human-readable and hardware-independent way. FML benefits arise from the exploitation of an alternative representation of a FLC based on labeled trees, data structure derived from XML-based document representation. However, this new graphical FLC representation can be exploited to implement an enhanced visual environment which allows designers to easily model a FLC through visual steps. This chapter is devoted, firstly, to present the new graphical representation of a FLC based on labeled trees, and, secondly, to describe the implemented framework, named Visual FML Tool, capable of exploiting labeled tree benefits by achieving a twofold purpose: the simplification of the FLC design through simple visual steps and a hardware-independent FLC modeling thanks to the direct mapping of the FLC labeled tree in a FML progra
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