The Experts below are selected from a list of 65439 Experts worldwide ranked by ideXlab platform

Owen Conlan - One of the best experts on this subject based on the ideXlab platform.

  • Addressing the Challenges of Survey Fatigue for Lifelong User Modelling: Initialising Baseline Models Using Community Psychometric Values
    2012 IEEE 12th International Conference on Advanced Learning Technologies, 2012
    Co-Authors: Victoria Macarthur, Owen Conlan
    Abstract:

    Addressing the issue of survey fatigue is of vital importance for systems that support lifelong learning. This is because of the increasingly complex methods of measurement needed to initialise Cognitive User models. This paper describes a baseline Cognitive modelling approach whereby User models can be initialised with psychometric measurements form the target community. A critical analysis of current challenges and solutions to overcoming the cold-start condition are outlined. The current approaches to initialising the User model in Technology Enhanced Learning (TEL) are also described. Evaluation of this baseline modelling approach applied to metacognition indicates this method can suitably describe a learner community and result in positive learning outcomes.

  • ICALT - Addressing the Challenges of Survey Fatigue for Lifelong User Modelling: Initialising Baseline Models Using Community Psychometric Values
    2012 IEEE 12th International Conference on Advanced Learning Technologies, 2012
    Co-Authors: Victoria Macarthur, Owen Conlan
    Abstract:

    Addressing the issue of survey fatigue is of vital importance for systems that support lifelong learning. This is because of the increasingly complex methods of measurement needed to initialise Cognitive User models. This paper describes a baseline Cognitive modelling approach whereby User models can be initialised with psychometric measurements form the target community. A critical analysis of current challenges and solutions to overcoming the cold-start condition are outlined. The current approaches to initialising the User model in Technology Enhanced Learning (TEL) are also described. Evaluation of this baseline modelling approach applied to metacognition indicates this method can suitably describe a learner community and result in positive learning outcomes.

Victoria Macarthur - One of the best experts on this subject based on the ideXlab platform.

  • Addressing the Challenges of Survey Fatigue for Lifelong User Modelling: Initialising Baseline Models Using Community Psychometric Values
    2012 IEEE 12th International Conference on Advanced Learning Technologies, 2012
    Co-Authors: Victoria Macarthur, Owen Conlan
    Abstract:

    Addressing the issue of survey fatigue is of vital importance for systems that support lifelong learning. This is because of the increasingly complex methods of measurement needed to initialise Cognitive User models. This paper describes a baseline Cognitive modelling approach whereby User models can be initialised with psychometric measurements form the target community. A critical analysis of current challenges and solutions to overcoming the cold-start condition are outlined. The current approaches to initialising the User model in Technology Enhanced Learning (TEL) are also described. Evaluation of this baseline modelling approach applied to metacognition indicates this method can suitably describe a learner community and result in positive learning outcomes.

  • ICALT - Addressing the Challenges of Survey Fatigue for Lifelong User Modelling: Initialising Baseline Models Using Community Psychometric Values
    2012 IEEE 12th International Conference on Advanced Learning Technologies, 2012
    Co-Authors: Victoria Macarthur, Owen Conlan
    Abstract:

    Addressing the issue of survey fatigue is of vital importance for systems that support lifelong learning. This is because of the increasingly complex methods of measurement needed to initialise Cognitive User models. This paper describes a baseline Cognitive modelling approach whereby User models can be initialised with psychometric measurements form the target community. A critical analysis of current challenges and solutions to overcoming the cold-start condition are outlined. The current approaches to initialising the User model in Technology Enhanced Learning (TEL) are also described. Evaluation of this baseline modelling approach applied to metacognition indicates this method can suitably describe a learner community and result in positive learning outcomes.

Adrish Banerjee - One of the best experts on this subject based on the ideXlab platform.

  • maximizing sum outage capacity of ofdm based Cognitive radio under primary User queue stability constraint
    Wireless Communications and Networking Conference, 2014
    Co-Authors: Kedar Kulkarni, Adrish Banerjee
    Abstract:

    We consider a Cognitive radio system in which primary User stores packets in a queue for transmission. For proper functioning of primary system, the Cognitive User must ensure that primary queue remains stable. We show that such a queue stability constraint can be converted to an equivalent interference constraint on Cognitive User's transmission. Under this constraint, we propose a power allocation technique to maximize sum of individual outage capacities achieved on each sub-channel of an OFDM based Cognitive User. We present simulation results depicting effect of channel gains of direct links and interference links on primary User's stable throughput and Cognitive User's sum-outage capacity. The results show that proposed method performs better than only interweave mode of transmission used in literature.

  • WCNC - Maximizing sum-outage capacity of OFDM-based Cognitive radio under primary User queue stability constraint
    2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
    Co-Authors: Kedar Kulkarni, Adrish Banerjee
    Abstract:

    We consider a Cognitive radio system in which primary User stores packets in a queue for transmission. For proper functioning of primary system, the Cognitive User must ensure that primary queue remains stable. We show that such a queue stability constraint can be converted to an equivalent interference constraint on Cognitive User's transmission. Under this constraint, we propose a power allocation technique to maximize sum of individual outage capacities achieved on each sub-channel of an OFDM based Cognitive User. We present simulation results depicting effect of channel gains of direct links and interference links on primary User's stable throughput and Cognitive User's sum-outage capacity. The results show that proposed method performs better than only interweave mode of transmission used in literature.

Kedar Kulkarni - One of the best experts on this subject based on the ideXlab platform.

  • maximizing sum outage capacity of ofdm based Cognitive radio under primary User queue stability constraint
    Wireless Communications and Networking Conference, 2014
    Co-Authors: Kedar Kulkarni, Adrish Banerjee
    Abstract:

    We consider a Cognitive radio system in which primary User stores packets in a queue for transmission. For proper functioning of primary system, the Cognitive User must ensure that primary queue remains stable. We show that such a queue stability constraint can be converted to an equivalent interference constraint on Cognitive User's transmission. Under this constraint, we propose a power allocation technique to maximize sum of individual outage capacities achieved on each sub-channel of an OFDM based Cognitive User. We present simulation results depicting effect of channel gains of direct links and interference links on primary User's stable throughput and Cognitive User's sum-outage capacity. The results show that proposed method performs better than only interweave mode of transmission used in literature.

  • WCNC - Maximizing sum-outage capacity of OFDM-based Cognitive radio under primary User queue stability constraint
    2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
    Co-Authors: Kedar Kulkarni, Adrish Banerjee
    Abstract:

    We consider a Cognitive radio system in which primary User stores packets in a queue for transmission. For proper functioning of primary system, the Cognitive User must ensure that primary queue remains stable. We show that such a queue stability constraint can be converted to an equivalent interference constraint on Cognitive User's transmission. Under this constraint, we propose a power allocation technique to maximize sum of individual outage capacities achieved on each sub-channel of an OFDM based Cognitive User. We present simulation results depicting effect of channel gains of direct links and interference links on primary User's stable throughput and Cognitive User's sum-outage capacity. The results show that proposed method performs better than only interweave mode of transmission used in literature.

Fumio Mizoguchi - One of the best experts on this subject based on the ideXlab platform.

  • Design and Implementation of a Cognitive User-Support System for Skin Progress Analysis Using a Smart Phone
    International Journal of Software Science and Computational Intelligence, 2013
    Co-Authors: Hiroyuki Nishiyama, Fumio Mizoguchi
    Abstract:

    In this study, the authors design a User-support system employing a smart phone for skin progress analysis. The authors’ proposed system seeks to provide User support for a skin diagnostic service employing a smart phone’s camera, with the User’s photograph of a skin image and continuous diagnosis of the photographed area. The Cognitive User-support module recognizes the processing and the User operation of the smart phone, and transmits advice on the operation to the User in real time, via voice or text messages. In addition, the Cognitive User-support module can recommend contents suitable for the User, based on the User’s past situation. In the skin diagnostic service, the authors’ system provides the User with auto photography when the picture is taken, by recognizing the User’s situation and guiding the User via voice or text message. The authors’ system can recommend the skin area that was used for the last diagnostic service in order to perform continuous skin diagnosis. Using the authors’ system, the User can easily take a suitable skin picture and observe the skin care progress, so that in an esthetic room, the User and beauty therapist can verify the esthetic effect by viewing the pictures taken before and after treatment. Design and Implementation of a Cognitive User-Support System for Skin Progress Analysis Using a Smart Phone

  • design of a Cognitive User support system for skin progress analysis using a smart phone
    IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012
    Co-Authors: Hiroyuki Nishiyama, Fumio Mizoguchi
    Abstract:

    In this study, we design a User-support system employing a smart phone for skin progress analysis. Our proposed system seeks to provide User support for a skin diagnostic service employing a smart phone's camera, with the User's photograph of a skin image and continuous diagnosis of the photographed area. The Cognitive User-support module recognizes the processing and the User operation of the smart phone, and transmits advice on the operation to the User in real time, via voice or text messages. In addition, the Cognitive User-support module can recommend contents suitable for the User, based on the User's past situation. In the skin diagnostic service, our system provides the User with auto photography when the picture is taken, by recognizing the User's situation and guiding the User via voice or text message. Our system can recommend the skin area that was used for the last diagnostic service in order to perform continuous skin diagnosis. Using our system, the User can easily take a suitable skin picture and observe the skin care progress, so that in an esthetic room, the User and beauty therapist can verify the esthetic effect by viewing the pictures taken before and after treatment.

  • ICCI*CC - Design of a Cognitive User-support system for skin progress analysis using a smart phone
    2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing, 2012
    Co-Authors: Hiroyuki Nishiyama, Fumio Mizoguchi
    Abstract:

    In this study, we design a User-support system employing a smart phone for skin progress analysis. Our proposed system seeks to provide User support for a skin diagnostic service employing a smart phone's camera, with the User's photograph of a skin image and continuous diagnosis of the photographed area. The Cognitive User-support module recognizes the processing and the User operation of the smart phone, and transmits advice on the operation to the User in real time, via voice or text messages. In addition, the Cognitive User-support module can recommend contents suitable for the User, based on the User's past situation. In the skin diagnostic service, our system provides the User with auto photography when the picture is taken, by recognizing the User's situation and guiding the User via voice or text message. Our system can recommend the skin area that was used for the last diagnostic service in order to perform continuous skin diagnosis. Using our system, the User can easily take a suitable skin picture and observe the skin care progress, so that in an esthetic room, the User and beauty therapist can verify the esthetic effect by viewing the pictures taken before and after treatment.