Software Prototype

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The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Antonio Plaza - One of the best experts on this subject based on the ideXlab platform.

  • a new cloud computing architecture for the classification of remote sensing data
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
    Co-Authors: Victor Andres Ayma Quirita, G A O P Costa, Patrick Nigri Happ, Raul Queiroz Feitosa, Rodrigo S Ferreira, Dario Augusto Borges Oliveira, Antonio Plaza
    Abstract:

    This paper proposes a new distributed architecture for supervised classification of large volumes of earth observation data on a cloud computing environment. The architecture supports distributed execution, network communication, and fault tolerance in a transparent way to the user. The architecture is composed of three abstraction layers, which support the definition and implementation of applications by researchers from different scientific investigation fields. The implementation of architecture is also discussed. A Software Prototype (available online), which runs machine learning routines implemented on the cloud using the Waikato Environment for Knowledge Analysis (WEKA), a popular free Software licensed under the GNU General Public License, is used for validation. Performance issues are addressed through an experimental analysis in which two supervised classifiers available in WEKA were used: random forest and support vector machines. This paper further describes how to include other classification methods in the available Software Prototype.

Thomas Myrach - One of the best experts on this subject based on the ideXlab platform.

  • personal digital assistant 2 0 a Software Prototype for cognitive cities
    IEEE International Conference on Fuzzy Systems, 2016
    Co-Authors: Patrick Kaltenrieder, Timur Altun, Sara Donofrio, Edy Portmann, Thomas Myrach
    Abstract:

    This paper presents a Software Prototype of a personal digital assistant 2.0. Based on soft computing methods and cognitive computing this mobile application Prototype improves calendar and mobility management in cognitive cities. Applying fuzzy cognitive maps and temporal algebra, the Prototype represents a next step towards the realization of cognitive cities (i.e., smart cities enhanced with cognition). A user scenario and a test version of the Prototype are included for didactical reasons.

Victor Andres Ayma Quirita - One of the best experts on this subject based on the ideXlab platform.

  • a new cloud computing architecture for the classification of remote sensing data
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
    Co-Authors: Victor Andres Ayma Quirita, G A O P Costa, Patrick Nigri Happ, Raul Queiroz Feitosa, Rodrigo S Ferreira, Dario Augusto Borges Oliveira, Antonio Plaza
    Abstract:

    This paper proposes a new distributed architecture for supervised classification of large volumes of earth observation data on a cloud computing environment. The architecture supports distributed execution, network communication, and fault tolerance in a transparent way to the user. The architecture is composed of three abstraction layers, which support the definition and implementation of applications by researchers from different scientific investigation fields. The implementation of architecture is also discussed. A Software Prototype (available online), which runs machine learning routines implemented on the cloud using the Waikato Environment for Knowledge Analysis (WEKA), a popular free Software licensed under the GNU General Public License, is used for validation. Performance issues are addressed through an experimental analysis in which two supervised classifiers available in WEKA were used: random forest and support vector machines. This paper further describes how to include other classification methods in the available Software Prototype.

Peterjohn Hugh - One of the best experts on this subject based on the ideXlab platform.

  • impact of spatial auditory feedback on the efficiency of iconic human computer interfaces under conditions of visual impairment
    Computers in Human Behavior, 2007
    Co-Authors: Armando Barreto, Julie A Jacko, Peterjohn Hugh
    Abstract:

    This paper investigates the addition of spatial auditory feedback as a tool to assist people with visual impairments in the use of computers, specifically in tasks involving iconic visual search. In this augmented interface, unique sounds were mapped to visual icons on the screen. As the screen cursor traversed the screen, the user heard sounds of nearby icons, spatially, according to the relative position of each icon with respect to the screen cursor. A Software Prototype of the design was developed to evaluate the performance of users in the search of icons within the proposed interface. Experiments were conducted with simulated visual impairments on volunteer participants to evaluate if the addition of spatial auditory feedback makes the interface more accessible to users with impaired vision. Results demonstrated that spatialization of icon sounds provides additional remote navigational information to users, enabling new strategies for task completion. Directions for future research are discussed and prioritized.

Hamada Ghenniwa - One of the best experts on this subject based on the ideXlab platform.

  • an agent based service oriented integration architecture for collaborative intelligent manufacturing
    Robotics and Computer-integrated Manufacturing, 2007
    Co-Authors: Weiming Shen, Yinsheng Li, Shuying Wang, Hamada Ghenniwa
    Abstract:

    The rapidly changing needs and opportunities of today's global market require unprecedented levels of interoperability to integrate diverse information systems to share knowledge and collaborate among organizations. The combination of Web services and Software agents provides a promising computing paradigm for efficient service selection and integration of inter-organizational business processes. This paper proposes an agent-based service-oriented integration architecture to leverage manufacturing scheduling services on a network of virtual enterprises. A unique property of this approach is that the scheduling process of an order is orchestrated on the Internet through the negotiation among agent-based Web services. A Software Prototype system has been implemented for inter-enterprise manufacturing resource sharing. It demonstrates how the proposed service-oriented integration architecture can be used to establish a collaborative environment that provides dynamic resource scheduling services.