The Experts below are selected from a list of 58053 Experts worldwide ranked by ideXlab platform

Stefano Chessa - One of the best experts on this subject based on the ideXlab platform.

  • Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project
    Journal of Ambient Intelligence and Humanized Computing, 2013
    Co-Authors: Michele Amoretti, Sergio Copelli, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    User activity monitoring is a major problem in ambient assisted living, since it requires to infer new knowledge from collected and fused sensor data while dealing with highly dynamic environments, where devices continuously change their availability and (or) physical location. In the context of the European project PERSONA, we have developed an activity monitoring sub-system characterized by high modularity, little invasiveness of the environment and good responsiveness. In this paper we first illustrate the functional architecture of the proposed solution from a general point of view, discussing the motivations of the design. Then we describe in details the software components—sensor abstraction and Integration Layer, human posture classification, activity monitor—and the resulting activity monitoring application, presenting also a performance evaluation.

  • S-CUBE - Sensor Data Fusion for Activity Monitoring in Ambient Assisted Living Environments
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2009
    Co-Authors: Michele Amoretti, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intelligence, namely user activity monitoring, that requires to infer new knowledge from collected and fused sensor data, dealing with highly dynamic environments where devices continuously change their availability and (or) physical location. We describe the Sensor Abstraction and Integration Layer (SAIL), we introduce the Human Posture Classification component, which is one particular context information provider, and finally we describe the Activity Monitor, which is a reasoner that delivers aggregated/derived context events in terms of the context ontology.

  • sail a sensor abstraction and Integration Layer for context awareness
    Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.

  • EUROMICRO-SEAA - SAIL: A Sensor Abstraction and Integration Layer for Context Awareness
    2008 34th Euromicro Conference Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.

Enrico Masala - One of the best experts on this subject based on the ideXlab platform.

  • a new architecture for cross repository creation and sharing of educational resources
    International Journal of Emerging Technologies in Learning (ijet), 2017
    Co-Authors: Leonardo Favario, Enrico Masala
    Abstract:

    A large amount of educational resources are currently available in the Internet, covering educational needs for many school grades. However, using such wealth of material, typically dispersed in several repositories, in a simple and effective way, is rather challenging due to the difficulties encountered by teachers in learning the peculiar access and operational procedures that each repository system requires. Therefore, it is important to provide the teachers with a centralized, integrated, simple system that can address most of their needs so that every operation (search, edit, share, download) can be done from a single location. This work follows this direction by designing and presenting both an architecture to integrate different repository systems using the Content Management Interoperability Services (CMIS) API and an Integration Layer that provides a simple web interface suitable for the needs of both the content creators (teachers) and the users of the contents (learners). Results have been evaluated both quantitatively, i.e., using performance indicators such as response time, and qualitatively, on the basis of the user experience evaluated through a questionnaire. Both type of results show that the platform adequately addresses user needs therefore it has the potential to be embraced by a large user community.

  • a new platform for cross repository creation and sharing of educational resources architecture and a case study
    Computer Software and Applications Conference, 2015
    Co-Authors: Leonardo Favario, Enrico Masala
    Abstract:

    Currently there is a large amount of educational resources available, developed by many educational institutions at all level. One of the main challenges is to make use of such wealth of material in a simple and effective way, especially when pre-university education is involved, ranging from primary schools to high schools. The main difficulties experienced by the teachers willing to tailor the available material to the specific needs of their class are typically the lack of available time and the difficulties in learning the peculiar procedures that each repository system (including CMS, LMS etc.) requires. This work presents an architecture to integrate different repository systems using the Content Management Interoperability Services (CMIS) API, as well as an Integration Layer that provides a much more simplified interface suitable for the needs of the content creators (i.e., Teachers), and the users of the contents (i.e., The learners). Both the technical aspects of Integration and the usability issues from the point of view of the teachers are described and considered in the design. The first experiments, evaluated by means of performance indicators and some user feedbacks, show that the platform has the potential for widespread adoption in the Italian educational environment.

R.w. Bower - One of the best experts on this subject based on the ideXlab platform.

  • beyond smart cut recent advances in Layer transfer for material Integration
    Mrs Bulletin, 1998
    Co-Authors: Qy Tong, R.w. Bower
    Abstract:

    An integrated substrate, consisting of more than one material or material structure, is highly desirable for optimizing performance of multiple-device types on a single chip or for growing high-quality heteroepitaxial films on compliant substrates. A typical integrated substrate contains a stack of thin Layers of similar or dissimilar materials that are either amorphous, or poly- or single-crystalline with a variety of lattice constants or crystallographic orientations. Partially or fully processed device Layers can also be transferred onto a desired substrate where the transferred device Layer can be further processed on the opposite side of its original surface. In this article, we focus on issues related to Layer transfer for material Integration. Layer transfer from a hydrogen (H)-implanted wafer onto a desired substrate by wafer bonding and Layer splitting (the so-called “Smart-Cut®” method) is an attractive approach to prepare integrated materials, such as-silicon-on-insulator (SOI), SiC or GaAs on oxidized silicon, and Ge on glass.

Stefano Lenzi - One of the best experts on this subject based on the ideXlab platform.

  • Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project
    Journal of Ambient Intelligence and Humanized Computing, 2013
    Co-Authors: Michele Amoretti, Sergio Copelli, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    User activity monitoring is a major problem in ambient assisted living, since it requires to infer new knowledge from collected and fused sensor data while dealing with highly dynamic environments, where devices continuously change their availability and (or) physical location. In the context of the European project PERSONA, we have developed an activity monitoring sub-system characterized by high modularity, little invasiveness of the environment and good responsiveness. In this paper we first illustrate the functional architecture of the proposed solution from a general point of view, discussing the motivations of the design. Then we describe in details the software components—sensor abstraction and Integration Layer, human posture classification, activity monitor—and the resulting activity monitoring application, presenting also a performance evaluation.

  • S-CUBE - Sensor Data Fusion for Activity Monitoring in Ambient Assisted Living Environments
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2009
    Co-Authors: Michele Amoretti, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intelligence, namely user activity monitoring, that requires to infer new knowledge from collected and fused sensor data, dealing with highly dynamic environments where devices continuously change their availability and (or) physical location. We describe the Sensor Abstraction and Integration Layer (SAIL), we introduce the Human Posture Classification component, which is one particular context information provider, and finally we describe the Activity Monitor, which is a reasoner that delivers aggregated/derived context events in terms of the context ontology.

  • sail a sensor abstraction and Integration Layer for context awareness
    Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.

  • EUROMICRO-SEAA - SAIL: A Sensor Abstraction and Integration Layer for Context Awareness
    2008 34th Euromicro Conference Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.

Francesco Furfari - One of the best experts on this subject based on the ideXlab platform.

  • Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project
    Journal of Ambient Intelligence and Humanized Computing, 2013
    Co-Authors: Michele Amoretti, Sergio Copelli, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    User activity monitoring is a major problem in ambient assisted living, since it requires to infer new knowledge from collected and fused sensor data while dealing with highly dynamic environments, where devices continuously change their availability and (or) physical location. In the context of the European project PERSONA, we have developed an activity monitoring sub-system characterized by high modularity, little invasiveness of the environment and good responsiveness. In this paper we first illustrate the functional architecture of the proposed solution from a general point of view, discussing the motivations of the design. Then we describe in details the software components—sensor abstraction and Integration Layer, human posture classification, activity monitor—and the resulting activity monitoring application, presenting also a performance evaluation.

  • S-CUBE - Sensor Data Fusion for Activity Monitoring in Ambient Assisted Living Environments
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2009
    Co-Authors: Michele Amoretti, Folker Wientapper, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intelligence, namely user activity monitoring, that requires to infer new knowledge from collected and fused sensor data, dealing with highly dynamic environments where devices continuously change their availability and (or) physical location. We describe the Sensor Abstraction and Integration Layer (SAIL), we introduce the Human Posture Classification component, which is one particular context information provider, and finally we describe the Activity Monitor, which is a reasoner that delivers aggregated/derived context events in terms of the context ontology.

  • sail a sensor abstraction and Integration Layer for context awareness
    Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.

  • EUROMICRO-SEAA - SAIL: A Sensor Abstraction and Integration Layer for Context Awareness
    2008 34th Euromicro Conference Software Engineering and Advanced Applications, 2008
    Co-Authors: Michele Girolami, Stefano Lenzi, Francesco Furfari, Stefano Chessa
    Abstract:

    Wireless Sensor Networks (WSN) are an important technological support for ambient assisted applications. Up to now most WSN applications are based on ad hoc solutions, and attempts to provide reusable applications are still in their youth. Under this trend of research we propose a Layered architecture called SAIL (Sensor Abstraction and Integration Layers) to be used in context aware architectures, and aimed at integrating WSN as context information sources. In the proposed approach, the applications running on WSN can be exposed using either a node centric or a data centric paradigm, and they are interfaced with different access technologies. SAIL is currently encapsulated within the OSGi framework and has been tested on MICAz motes.