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  • Open Access

    ARTICLE

    Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

    Qaisar Abbas1,*, Mostafa E.A. Ibrahim1,2, Shakir Khan1, Abdul Rauf Baig1

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1999-2007, 2022, DOI:10.32604/cmc.2022.022553 - 03 November 2021

    Abstract Traffic accidents are caused by driver fatigue or distraction in many cases. To prevent accidents, several low-cost hypovigilance (hypo-V) systems were developed in the past based on a multimodal-hybrid (physiological and behavioral) feature set. Similarly in this paper, real-time driver inattention and fatigue (Hypo-Driver) detection system is proposed through multi-view cameras and biosignal sensors to extract hybrid features. The considered features are derived from non-intrusive sensors that are related to the changes in driving behavior and visual facial expressions. To get enhanced visual facial features in uncontrolled environment, three cameras are deployed on multiview points… More >

  • Open Access

    ARTICLE

    A Cost-Efficient Environment Monitoring Robotic Vehicle for Smart Industries

    Arfat Ahmad Khan1, Chitapong Wechtaisong1,*, Faizan Ahmed Khan2, Nadeem Ahmad3

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 473-487, 2022, DOI:10.32604/cmc.2022.020903 - 03 November 2021

    Abstract Environmental monitoring is essential for accessing and avoiding the undesirable situations in industries along with ensuring the safety of workers. Moreover, inspecting and monitoring of environmental parameters by humans lead to various health concerns, which in turn brings to the requirement of monitoring the environment by robotics. In this paper, we have designed and implemented a cost-efficient robotic vehicle for the computation of various environmental parameters such as temperature, radiation, smoke, and pressure with the help of sensors. Furthermore, the robotic vehicle is designed in such a way that it can be dually controlled by… More >

  • Open Access

    ARTICLE

    Development of IoT Based Fish Monitoring System for Aquaculture

    Abu Taher Tamim1, Halima Begum1, Sumaiya Ashfaque Shachcho1, Mohammad Monirujjaman Khan1,*, Bright Yeboah-Akowuah2, Mehedi Masud3, Jehad F. Al-Amri4

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 55-71, 2022, DOI:10.32604/iasc.2022.021559 - 26 October 2021

    Abstract Aquaculture mainly refers to cultivating aquatic organisms providing suitable environments for various purposes, including commercial, recreational, public purposes. This paper aims to enhance the production of fish and maintain the aquatic environment of aquaculture in Bangladesh. This paper presents the way of using Internet of Things (IoT) based devices to monitor aquaculture’s basic needs and help provide things needed for the fisheries. Using these devices, various parameters of water will be monitored for a better living environment for fish. These devices consist of some sensors that will detect the Potential of Hydrogen (pH) level, the… More >

  • Open Access

    ARTICLE

    Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations

    Imran Ashraf, Sadia Din, Soojung Hur, Yongwan Park*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5213-5232, 2022, DOI:10.32604/cmc.2022.018707 - 11 October 2021

    Abstract Precise information on indoor positioning provides a foundation for position-related customer services. Despite the emergence of several indoor positioning technologies such as ultrawideband, infrared, radio frequency identification, Bluetooth beacons, pedestrian dead reckoning, and magnetic field, Wi-Fi is one of the most widely used technologies. Predominantly, Wi-Fi fingerprinting is the most popular method and has been researched over the past two decades. Wi-Fi positioning faces three core problems: device heterogeneity, robustness to signal changes caused by human mobility, and device attitude, i.e., varying orientations. The existing methods do not cover these aspects owing to the unavailability More >

  • Open Access

    ARTICLE

    IIoT Framework Based ML Model to Improve Automobile Industry Product

    S. Gopalakrishnan1,*, M. Senthil Kumaran2

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1435-1449, 2022, DOI:10.32604/iasc.2022.020660 - 09 October 2021

    Abstract In the automotive industry, multiple predictive maintenance units run behind the scenes in every production process to support significant product development, particularly among Accessories Manufacturers (AMs). As a result, they wish to maintain a positive relationship with vehicle manufacturers by providing 100 percent quality assurances for accessories. This is only achievable if they implement an effective anticipatory strategy that prioritizes quality control before and after product development. To do this, many sensors devices are interconnected in the production area to collect operational data (humanity, viscosity, and force) continuously received from machines and sent to backend… More >

  • Open Access

    ARTICLE

    A Coordinated Search Algorithm for a Lost Target on the Plane

    Sundus Naji Al-Aziz1,*, Abd Al-Aziz Hosni El-Bagoury2, W. Afifi2,3

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 127-137, 2022, DOI:10.32604/csse.2022.016007 - 26 August 2021

    Abstract Concepts in search theory have developed since World War II. The study of search plans has found considerable interest among searchers due to its wide applications in our life. Searching for lost targets either located or moved is often a time-critical issue, especially when the target is very important . In many commercial and scientific missions at sea, it is of crucial importance to find lost targets underwater. We illustrate a technique known as coordinated search, that completely characterizes the search for a randomly located target on a plane. The idea is to avoid wasting… 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 - 30 December 2021

    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 More >

  • Open Access

    ARTICLE

    Driving Style Recognition System Using Smartphone Sensors Based on Fuzzy Logic

    Nidhi Kalra1,*, Raman Kumar Goyal1, Anshu Parashar1, Jaskirat Singh1, Gagan Singla2

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1967-1978, 2021, DOI:10.32604/cmc.2021.018732 - 21 July 2021

    Abstract Every 24 seconds, someone dies on the road due to road accidents and it is the 8th leading cause of death and the first among children aged 15–29 years. 1.35 million people globally die every year due to road traffic crashes. An additional 20–50 million suffer from non-fatal injuries, often resulting in long-term disabilities. This costs around 3% of Gross Domestic Product to most countries, and it is a considerable economic loss. The governments have taken various measures such as better road infrastructures and strict enforcement of motor-vehicle laws to reduce these accidents. However, there… More >

  • Open Access

    ARTICLE

    A Technical Framework for Selection of Autonomous UAV Navigation Technologies and Sensors

    Izzat Al-Darraji1,2, Morched Derbali3, Houssem Jerbi4, Fazal Qudus Khan3, Sadeeq Jan5,*, Dimitris Piromalis6, Georgios Tsaramirsis7

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2771-2790, 2021, DOI:10.32604/cmc.2021.017236 - 13 April 2021

    Abstract The autonomous navigation of an Unmanned Aerial Vehicle (UAV) relies heavily on the navigation sensors. The UAV’s level of autonomy depends upon the various navigation systems, such as state measurement, mapping, and obstacle avoidance. Selecting the correct components is a critical part of the design process. However, this can be a particularly difficult task, especially for novices as there are several technologies and components available on the market, each with their own individual advantages and disadvantages. For example, satellite-based navigation components should be avoided when designing indoor UAVs. Incorporating them in the design brings no… More >

  • Open Access

    ARTICLE

    Multi Sensor-Based Implicit User Identification

    Muhammad Ahmad1,*, Rana Aamir Raza2, Manuel Mazzara3, Salvatore Distefano4, Ali Kashif Bashir5, Adil Khan3, Muhammad Shahzad Sarfraz1, Muhammad Umar Aftab1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1673-1692, 2021, DOI:10.32604/cmc.2021.016232 - 13 April 2021

    Abstract Smartphones have ubiquitously integrated into our home and work environments, however, users normally rely on explicit but inefficient identification processes in a controlled environment. Therefore, when a device is stolen, a thief can have access to the owner’s personal information and services against the stored passwords. As a result of this potential scenario, this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors. A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency… More >

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