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  • Open Access

    ARTICLE

    A Framework for Driver Drowsiness Monitoring Using a Convolutional Neural Network and the Internet of Things

    Muhamad Irsan1,2,*, Rosilah Hassan2, Anwar Hassan Ibrahim3, Mohamad Khatim Hasan2, Meng Chun Lam2, Wan Mohd Hirwani Wan Hussain4

    Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 157-174, 2024, DOI:10.32604/iasc.2024.042193

    Abstract One of the major causes of road accidents is sleepy drivers. Such accidents typically result in fatalities and financial losses and disadvantage other road users. Numerous studies have been conducted to identify the driver’s sleepiness and integrate it into a warning system. Most studies have examined how the mouth and eyelids move. However, this limits the system’s ability to identify drowsiness traits. Therefore, this study designed an Accident Detection Framework (RPK) that could be used to reduce road accidents due to sleepiness and detect the location of accidents. The drowsiness detection model used three facial… More >

  • Open Access

    ARTICLE

    Experimental Evaluation of Individual Hotspots of a Multicore Microprocessor Using Pulsating Heat Sources

    Rodrigo Vidonscky Pinto1, Flávio Augusto Sanzovo Fiorelli2,*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 427-443, 2023, DOI:10.32604/fhmt.2023.041917

    Abstract The present work provides an experimental and numerical procedure to obtain the geometrical position of the hotspots of a microprocessor using the thermal images obtained from the transient thermal response of this processor subject to pulsating stress tests. This is performed by the solution of the steady inverse heat transfer problem using these thermal images, resulting in qualitative heat source distributions; these are analyzed using the mean heat source gradients to identify the elements that can be considered hotspots. This procedure identified that the processor INTEL Core 2 Quad Q8400S contains one hotspot located in More >

  • Open Access

    ARTICLE

    Lyapunov-Redesign and Sliding Mode Controller for Microprocessor Based Transfemoral Prosthesis

    Ali Murtaza1, Muhammad Usman Qadir1, Muhammad Awais Khan1, Izhar ul Haq1,*, Kamran Shah1, Nizar Akhtar2

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1887-1899, 2022, DOI:10.32604/iasc.2022.020006

    Abstract Transfemoral prostheses have evolved from mechanical devices to microprocessor-based, electronically controlled knee joints, allowing amputees to regain control of their limbs. For improved amputee experience at varying ambulation rates, these devices provide controlled damping throughout the swing and stance phases of the gait cycle. Commercially available microprocessor-based prosthetic knee (MPK) joints use linear controllers, heuristic-based methods, and finite state machine based algorithms to track the refence gait cycle. However, since the amputee experiences a variety of non-linearities during ambulation, such as uneven terrains, walking backwards and climbing stairs, therefore, traditional controllers produces error, abnormal movements,… More >

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