46,134 research outputs found

    Computers that Negotiate on our behalf

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    State of New York Public Employment Relations Board Decisions from November 30, 2011

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    BD_Mtng_11_30_2011.pdf: 502 downloads, before Oct. 1, 2020

    State of New York Public Employment Relations Board Decisions from September 19, 1995

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    9_19_1995_PERB_BD_DecisionsOCR.pdf: 117 downloads, before Oct. 1, 2020

    A Factory-based Approach to Support E-commerce Agent Fabrication

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    With the development of Internet computing and software agent technologies, agent-based e-commerce is emerging. How to create agents for e-commerce applications has become an important issue along the way to success. We propose a factory-based approach to support agent fabrication in e-commerce and elaborate a design based on the SAFER (Secure Agent Fabrication, Evolution & Roaming) framework. The details of agent fabrication, modular agent structure, agent life cycle, as well as advantages of agent fabrication are presented. Product-brokering agent is employed as a practical agent type to demonstrate our design and Java-based implementation

    What children on the autism spectrum have to ‘say’ about using high-tech voice output communication aids (VOCAs) in an educational setting

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    This paper focuses on accessing the experiences of three boys who are on the autism spectrum to identify what using a voice output communication aid (VOCA), within a classroom setting, means to them. The methods used to identify the boys' perspectives are described and evaluated. Establishing these through direct methods of engagement proved problematic but working with parents and school staff as ‘expert guides’ provided a rich insight into what using a VOCA appeared to mean to the boys. The findings suggest that using a computer-based VOCA can be viewed by children with autism as a pleasurable and motivating activity. This technology also seems to offer the potential for a much broader developmental impact for these children than that currently recognised within the research literature

    End-to-End Privacy for Open Big Data Markets

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    The idea of an open data market envisions the creation of a data trading model to facilitate exchange of data between different parties in the Internet of Things (IoT) domain. The data collected by IoT products and solutions are expected to be traded in these markets. Data owners will collect data using IoT products and solutions. Data consumers who are interested will negotiate with the data owners to get access to such data. Data captured by IoT products will allow data consumers to further understand the preferences and behaviours of data owners and to generate additional business value using different techniques ranging from waste reduction to personalized service offerings. In open data markets, data consumers will be able to give back part of the additional value generated to the data owners. However, privacy becomes a significant issue when data that can be used to derive extremely personal information is being traded. This paper discusses why privacy matters in the IoT domain in general and especially in open data markets and surveys existing privacy-preserving strategies and design techniques that can be used to facilitate end to end privacy for open data markets. We also highlight some of the major research challenges that need to be address in order to make the vision of open data markets a reality through ensuring the privacy of stakeholders.Comment: Accepted to be published in IEEE Cloud Computing Magazine: Special Issue Cloud Computing and the La
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