The Experts below are selected from a list of 228 Experts worldwide ranked by ideXlab platform

Piyush Agrawal - One of the best experts on this subject based on the ideXlab platform.

  • sixthsense rfid based Enterprise Intelligence
    International Conference on Mobile Systems Applications and Services, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

  • MobiSys - SixthSense: RFID-based Enterprise Intelligence
    Proceeding of the 6th international conference on Mobile systems applications and services - MobiSys '08, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

Lenin Ravindranath - One of the best experts on this subject based on the ideXlab platform.

  • sixthsense rfid based Enterprise Intelligence
    International Conference on Mobile Systems Applications and Services, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

  • MobiSys - SixthSense: RFID-based Enterprise Intelligence
    Proceeding of the 6th international conference on Mobile systems applications and services - MobiSys '08, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

Venkata N Padmanabhan - One of the best experts on this subject based on the ideXlab platform.

  • sixthsense rfid based Enterprise Intelligence
    International Conference on Mobile Systems Applications and Services, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

  • MobiSys - SixthSense: RFID-based Enterprise Intelligence
    Proceeding of the 6th international conference on Mobile systems applications and services - MobiSys '08, 2008
    Co-Authors: Lenin Ravindranath, Venkata N Padmanabhan, Piyush Agrawal
    Abstract:

    RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based Enterprise Intelligence systems. We consider an Enterprise setting where people (or rather their employee badges) and their personal objects such as books and mobiles are tagged with cheap, passive RFID tags, and there is good coverage of RFID readers in the workplace. SixthSense combines mobility information obtained from RFID-based sensing with information from Enterprise systems such as calendar and presence, to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense is able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people. We characterize the performance of a state-of-the-art RFID system used in our testbed, present our inference algorithms, and evaluate these both in a small testbed and via simulations. We also present the SixthSense programming model that exposes a rich API to applications. To demonstrate the capabilities of the SixthSense platform, we present a few applications built using these APIs, including a mis placed object alert service, an enhanced calendar service, and rich annotation of video with physical events. We also discuss the issue of safeguarding user privacy in the context of SixthSense.

Lipika Dey - One of the best experts on this subject based on the ideXlab platform.

  • social sensing and Enterprise Intelligence towards a smart Enterprise transformation ssei 2018 chairs welcome and organization
    WWW '18 Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
    Co-Authors: Lipika Dey, Tirthanker Dasgupta, Priyanka Sinha
    Abstract:

    Breakthroughs in Artificial Intelligence (AI) and World Wide Web technologies have opened a new direction in Enterprise Intelligence, that is gradually transforming the way Enterprises perform business and interact with their customers. This change is largely driven by the widespread consumer adoption of sophisticated AI technologies and web based social media. Consequently, almost all business Enterprises face a number of challenges such as adoption of new business paradigms; customer centric business processes; issues with large, multi-modal, multilingual, and multicultural data, analyzing behavioral signals from social media; agility, security and many more. Therefore, the primary goal of this workshop is to bring together industry professionals and researchers working in the area of AI, Natural Language Processing (NLP), Machine-Learning, linguistics, social science, HCI, design and computer vision and those whose work concerns the intersection of these areas, together to provide a venue for the multidisciplinary discussion of how ubiquitous AI technologies can help in extracting social and Enterprise Intelligence for smart Enterprise transformation while addressing the aforementioned challenges.

  • WWW (Companion Volume) - Social Sensing and Enterprise Intelligence: Towards a Smart Enterprise Transformation (SSEI 2018) Chairs' Welcome and Organization
    Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018
    Co-Authors: Lipika Dey, Tirthanker Dasgupta, Priyanka Deb Sinha
    Abstract:

    Breakthroughs in Artificial Intelligence (AI) and World Wide Web technologies have opened a new direction in Enterprise Intelligence, that is gradually transforming the way Enterprises perform business and interact with their customers. This change is largely driven by the widespread consumer adoption of sophisticated AI technologies and web based social media. Consequently, almost all business Enterprises face a number of challenges such as adoption of new business paradigms; customer centric business processes; issues with large, multi-modal, multilingual, and multicultural data, analyzing behavioral signals from social media; agility, security and many more. Therefore, the primary goal of this workshop is to bring together industry professionals and researchers working in the area of AI, Natural Language Processing (NLP), Machine-Learning, linguistics, social science, HCI, design and computer vision and those whose work concerns the intersection of these areas, together to provide a venue for the multidisciplinary discussion of how ubiquitous AI technologies can help in extracting social and Enterprise Intelligence for smart Enterprise transformation while addressing the aforementioned challenges.

  • Text-Driven Multi-structured Data Analytics for Enterprise Intelligence
    2013 IEEE WIC ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013
    Co-Authors: Lipika Dey, Ishan Verma
    Abstract:

    Text data constitutes the bulk of all Enterprise data. Text repositories are not only tacit store-houses of knowledge about its people, projects and processes but also contain invaluable information about its customers, competitors, suppliers, partners and all other stakeholders. Mining this data can provide interesting and valuable insights provided it is appropriately integrated with other Enterprise data. In this paper we propose a framework for text-driven analysis of multi-structured data.

  • Web Intelligence/IAT Workshops - Text-Driven Multi-structured Data Analytics for Enterprise Intelligence.
    2013
    Co-Authors: Lipika Dey, Ishan Verma
    Abstract:

    Text data constitutes the bulk of all Enterprise data. Text repositories are not only tacit store-houses of knowledge about its people, projects and processes but also contain invaluable information about its customers, competitors, suppliers, partners and all other stakeholders. Mining this data can provide interesting and valuable insights provided it is appropriately integrated with other Enterprise data. In this paper we propose a framework for text-driven analysis of multi-structured data.

Ma Xiao-li - One of the best experts on this subject based on the ideXlab platform.

  • Research on Virtual Enterprise Intelligence Operational Mechanism
    Information Sciences, 2009
    Co-Authors: Ma Xiao-li
    Abstract:

    This article first reviewed virtual business and competitive Intelligence connotations and characteristics,then analyzed the virtual Enterprise organizational structure,mode of operation,and from the virtual Enterprise competitive Intelligence on the demand point of view and analysis of the design of virtual Enterprise information system framework.On this basis,detailed analysis carried out on the existing problems and countermeasures in the process of running the virtual Enterprise information.