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  • Open Access

    ARTICLE

    Smart Garbage Bin Based on AIoT

    Wen-Tsai Sung1, Ihzany Vilia Devi1, Sung-Jung Hsiao2,*, Fathria Nurul Fadillah1

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1387-1401, 2022, DOI:10.32604/iasc.2022.022828

    Abstract Waste management and monitoring is a major concern in the context of the environment, and has a significant impact on human health. The concept of the Artificial Intelligence of Things (AIoT) can help people in everyday tasks in life. This study proposes a smart trash bin to help solve the problem of waste management and monitoring. Traditional methods of garbage disposal require human labor, and pose a hazard to the worker. The proposed smart garbage bin can move itself by using ultrasonic sensors and a web camera, which serves as its “eyes.” Because the smart garbage bin is designed for… More >

  • Open Access

    ARTICLE

    An Adaptive Extended Kalman Filter Incorporating State Model Uncertainty for Localizing a High Heat Flux Spot Source Using an Ultrasonic Sensor Array

    M.R. Myers1, A.B. Jorge2, D.E. Yuhas3, D.G. Walker1

    CMES-Computer Modeling in Engineering & Sciences, Vol.83, No.3, pp. 221-248, 2012, DOI:10.3970/cmes.2012.083.221

    Abstract An adaptive extended Kalman filter is developed and investigated for a transient heat transfer problem in which a high heat flux spot source is applied on one side of a thin plate and ultrasonic pulse time of flight is measured between spatially separated transducers on the opposite side of the plate. The novel approach is based on the uncertainty in the state model covariance and leverages trends in the extended Kalman filter covariance to drive changes to the state model covariance during convergence. This work is an integral part of an effort to develop a system capable of locating the… More >

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