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  • Open Access

    ARTICLE

    TinyML-Based Classification in an ECG Monitoring Embedded System

    Eunchan Kim1, Jaehyuk Kim2, Juyoung Park3, Haneul Ko4, Yeunwoong Kyung5,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1751-1764, 2023, DOI:10.32604/cmc.2023.031663

    Abstract Recently, the development of the Internet of Things (IoT) has enabled continuous and personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification plays an important role because it can select useful data (i.e., reduce the size of the dataset) and identify abnormal data that can be used to detect the clinical diagnosis and guide further treatment. Since the classification requires computing capability, the ECG data are usually delivered to the gateway or the server where the classification is performed based on its computing resource. However, real-time ECG data transmission continuously consumes battery and network resources, which are expensive and… More >

  • Open Access

    ARTICLE

    Man Overboard Detection System Using IoT for Navigation Model

    Hüseyin Gürüler1, Murat Altun1, Faheem Khan2, Taegkeun Whangbo2,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4955-4969, 2022, DOI:10.32604/cmc.2022.023556

    Abstract Security measures and contingency plans have been established in order to ensure human safety especially in the floating elements like ferry, ro-ro, catamaran, frigate, yacht that are the vehicles services for the purpose of logistic and passenger transport. In this paper, all processes in the event of Man overboard (MOB)are initiated for smart transportation. In MOB the falling person is totally dependent on the person who first saw the falling person. The main objective of this paper is to develop a solution to this significant problem. If a staff member or a passenger does not see the fall into the… More >

  • Open Access

    ARTICLE

    Wearable Sensors and Internet of Things Integration to Track and Monitor Children Students with Chronic Diseases Using Arduino UNO

    Ali Abdulameer Aldujaili1, Mohammed Dauwed2, Ahmed Meri3,*

    Journal on Internet of Things, Vol.3, No.4, pp. 131-137, 2021, DOI:10.32604/jiot.2021.015994

    Abstract Parents concerns for their children who has a critical health conditions may limit the children movements and live to engage with others peers anytime and anywhere. Thus, in this study aims to propose a framework to help the children who has critical disease to have more activity and engagement with other peers. Additionally, reducing their parents’ concerns by providing monitoring and tracking system to their parents for their children health conditions. However, this study proposed a framework include tracking and monitoring wearable (TMW) device and decision system to alert healthcare providers and parents for any failure in the children health… More >

  • Open Access

    ARTICLE

    IoT-EMS: An Internet of Things Based Environment Monitoring System in Volunteer Computing Environment

    Sourav Kumar Bhoi1, Sanjaya Kumar Panda2, Kalyan Kumar Jena1, Kshira Sagar Sahoo3, N. Z. Jhanjhi4,*, Mehedi Masud5, Sultan Aljahdali5

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1493-1507, 2022, DOI:10.32604/iasc.2022.022833

    Abstract Environment monitoring is an important area apart from environmental safety and pollution control. Such monitoring performed by the physical models of the atmosphere is unstable and inaccurate. Machine Learning (ML) techniques on the other hand are more robust in capturing the dynamics in the environment. In this paper, a novel approach is proposed to build a cost-effective standardized environment monitoring system (IoT-EMS) in volunteer computing environment. In volunteer computing, the volunteers (people) share their resources for distributed computing to perform a task (environment monitoring). The system is based on the Internet of Things and is controlled and accessed remotely through… More >

  • Open Access

    ARTICLE

    Automatic Human Detection Using Reinforced Faster-RCNN for Electricity Conservation System

    S. Ushasukhanya*, M. Karthikeyan

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1261-1275, 2022, DOI:10.32604/iasc.2022.022654

    Abstract Electricity conservation systems are designed to conserve electricity to manage the bridge between the high raising demand and the production. Such systems have been so far using sensors to detect the necessity which adds an additional cost to the setup. Closed-circuit Television (CCTV) has been installed in almost everywhere around us especially in commercial places. Interpretation of these CCTV images is being carried out for various reasons to elicit the information from it. Hence a framework for electricity conservation that enables the electricity supply only when required, using existing resources would be a cost effective conservation system. Such a framework… More >

  • Open Access

    ARTICLE

    Design of a Low-Cost Air Quality Monitoring System Using Arduino and ThingSpeak

    Anabi Hilary Kelechi1, Mohammed H. Alsharif2, Chidumebi Agbaetuo3, Osichinaka Ubadike1, Alex Aligbe1, Peerapong Uthansakul4,*, Raju Kannadasan5, Ayman A. Aly6

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 151-169, 2022, DOI:10.32604/cmc.2022.019431

    Abstract The impact of daily emissions of gaseous and particulate pollutants of machines and industries on human health and the environment has attracted increasing concerns. This impact has significantly led to a notable increase in mortality in the highly industrialized zones. Therefore, monitoring air quality and creating public awareness are important for a safer future, which led the governments globally to invest multi-billion in policymaking and solution stratification to address the problem. This study aims to design a real-time Internet of Things low-cost air quality monitoring system. The system utilizes air quality and carbon monoxide sensors for monitoring gaseous pollutants. Moreover,… More >

  • Open Access

    ARTICLE

    Research and Development of a Brain-Controlled Wheelchair for Paralyzed Patients

    Mohammad Monirujjaman Khan1,*, Shamsun Nahar Safa1, Minhazul Hoque Ashik1, Mehedi Masud2, Mohammed A. AlZain3

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 49-64, 2021, DOI:10.32604/iasc.2021.016077

    Abstract Smart wheelchairs play a significant role in supporting disabled people. Individuals with motor function impairments due to some disorders such as strokes or multiple sclerosis face frequent moving difficulties. Hence, they need constant support from an assistant. This paper presents a brain-controlled wheelchair model to assist disabled and paralyzed patients. The wheelchair is controlled by interpreting Electroencephalogram (EEG) signals, also known as brain waves. In the EEG technique, an electrode cap is positioned on the user’s scalp to receive EEG signals, which are detected and transformed by the Arduino microcontroller into motion commands, which drive the wheelchair. The proposed wheelchair… More >

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