The Experts below are selected from a list of 127434 Experts worldwide ranked by ideXlab platform

Syed Maruf Abdullah - One of the best experts on this subject based on the ideXlab platform.

  • ICIoT - A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Abdur Rahman, Khalid Abualsaud, Stuart J. Barnes, Mamunur Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

  • A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Md. Abdu Rahma, Khalid Abualsaud, Stua Arnes, Mamunu Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

Khalid Abualsaud - One of the best experts on this subject based on the ideXlab platform.

  • ICIoT - A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Abdur Rahman, Khalid Abualsaud, Stuart J. Barnes, Mamunur Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

  • A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Md. Abdu Rahma, Khalid Abualsaud, Stua Arnes, Mamunu Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

Abdur Rahman - One of the best experts on this subject based on the ideXlab platform.

  • ICIoT - A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Abdur Rahman, Khalid Abualsaud, Stuart J. Barnes, Mamunur Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

Md. Abdu Rahma - One of the best experts on this subject based on the ideXlab platform.

  • A Natural User Interface and BlockChain-Based In-Home Smart Health Monitoring System
    2020 IEEE International Conference on Informatics IoT and Enabling Technologies (ICIoT), 2020
    Co-Authors: Md. Abdu Rahma, Khalid Abualsaud, Stua Arnes, Mamunu Rashid, Syed Maruf Abdullah
    Abstract:

    In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockChain consensus for storing the smart home IoT health data and user identities. The framework leverages off-Chain Solution for storing raw multimedia IoT sensory payload and gesture data. Using our proposed health monitoring framework, a smart homeowner or service provider can create a cyber-physical space with a secure digital wallet for each human resident and authorized IoT health devices. Multiple authorized home residents can interact with the IoT-based smart home monitoring sensors, carry out user and IoT health sensory media registration, and transfer transactional values via secure tokens, as well as raw IoT health data payload through gesture. In this paper, we will present the design and implementation details of the smart home health monitoring framework in terms of gesture-based interaction with smart home IoT health devices, such as smart locks and light bulbs, which uses decentralized blockChain for security, trust, digital identity and privacy preservation.

Guido David - One of the best experts on this subject based on the ideXlab platform.

  • ICT-EurAsia/CONFENIS - Markov Chain Solution to the 3-Tower Problem
    Information and Communication Technology, 2015
    Co-Authors: Guido David
    Abstract:

    The 3-tower problem is a 3-player gambler’s ruin model where two players are involved in a zero information, even-money bet during each round. The probabilities that each player accumulates all the money has a trivial Solution. However, the probability of each player getting ruined first is an open problem. In this paper, the 3-tower problem recursions are modeled as a directed multigraph with loops, which is used to construct a Markov Chain. The Solution leads to exact values, and results show that, unlike in other models where the first ruin probabilities depend only on the proportion of chips of each player, the probabilities obtained by this model depend on the number of chips each player holds.

  • Markov Chain Solution to the 3-Tower Problem
    2015
    Co-Authors: Guido David
    Abstract:

    The 3-tower problem is a 3-player gambler’s ruin model where two players are involved in a zero information, even-money bet during each round. The probabilities that each player accumulates all the money has a trivial Solution. However, the probability of each player getting ruined first is an open problem. In this paper, the 3-tower problem recursions are modeled as a directed multigraph with loops, which is used to construct a Markov Chain. The Solution leads to exact values, and results show that, unlike in other models where the first ruin probabilities depend only on the proportion of chips of each player, the probabilities obtained by this model depend on the number of chips each player holds.