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  • Open Access


    Energy-Efficient Scheduling for a Cognitive IoT-Based Early Warning System

    Saeed Ahmed1,2, Noor Gul1,3, Jahangir Khan4, Junsu Kim1, Su Min Kim1,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5061-5082, 2022, DOI:10.32604/cmc.2022.023639

    Abstract Flash floods are deemed the most fatal and disastrous natural hazards globally due to their prompt onset that requires a short prime time for emergency response. Cognitive Internet of things (CIoT) technologies including inherent characteristics of cognitive radio (CR) are potential candidates to develop a monitoring and early warning system (MEWS) that helps in efficiently utilizing the short response time to save lives during flash floods. However, most CIoT devices are battery-limited and thus, it reduces the lifetime of the MEWS. To tackle these problems, we propose a CIoT-based MEWS to slash the fatalities of flash floods. To extend the… More >

  • Open Access


    A Rock-fall Early Warning System Based on Logistic Regression Model

    Mohammed Abaker1,*, Abdelzahir Abdelmaboud2, Magdi Osman3, Mohammed Alghobiri4, Ahmed Abdelmotlab4

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 843-856, 2021, DOI:10.32604/iasc.2021.017714

    Abstract The rock-fall is a natural hazard that results in many economic damages and human losses annually, and thus proactive policies to prevent rock-fall hazard are needed. Such policies require predicting the rock-fall occurrence and deciding to alert the road users at the appropriate time. Thus, this study develops a rock-fall early warning system based on logistic regression model. In this system, the logistic regression model is used to predict the rock-fall occurrence. The decision-making algorithm is used to classify the hazard levels and delivers early warning action. This study adopts two criteria to evaluate the system predictive performance, including overall… More >

  • Open Access


    Financial early warning system model for hospitals

    A.S. Koyuncugil1, N. Ozgulbas2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.3, pp. 79-80, 2009, DOI:10.3970/icces.2009.011.079

    Abstract The aim of this study is to present the Hospital Early Warning System (HEWS) that developed for determining financial performance and risk indicators of Ministry of Health Hospitals based on automation and in an objective manner with usage of data mining.
    HEWS is an automation system based on Data Mining that hospital manager, Hospital Unions Managers in case of the constitute of hospital unions, Ministry of Health and the other needing ones will use for:
    • determining financial performance of hospitals,
    • detecting financial risks of hospitals,
    • determining financial performance indicators objectively,
    • determining early warning… More >

  • Open Access


    An Early Warning System for Curved Road Based on OV7670 Image Acquisition and STM32

    Xiaoliang Wang1, *, Wenhua Song1, Bowei Zhang1, Brandon Mausler2, Frank Jiang1, 3

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 135-147, 2019, DOI:10.32604/cmc.2019.05687

    Abstract Nowadays, the number of vehicles in China has increased significantly. The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need. However, the existing early warning devices such as geomagnetic, ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance. In addition, geomagnetic detection will damage the road surface, while ultrasonic and infrared detection will be greatly affected by the environment. Considering the shortcomings of the existing solutions, this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and… More >

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