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Technologically Advanced Reusable 3D Face Shield for Health Workers Confronting COVID19

Computers, Materials & Continua 2022年第8期72卷 2565-2579页

作者： Rajesh Kumar Kaushal Naveen Kumar Vinay Kukreja Fahd S.Alharithi Ahmed H.Almulihi arturo ortega mansilla Shikha Rani Chitkara University Institute of Engineering and Technology Chitkara University140401PunjabIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 2139011SantanderSpain Department of Project Management Universidad Internacional IberoamericanaCampeche24560Mexico National Institute of Technology Kurukshetra136119HaryanaIndia

The probability of medical staff to get affected from COVID19 is much higher due to their working environment which is more exposed to infectious ***,as a preventive measure the body temperature monitoring of medical staff at regular intervals is highly *** temperature sensing guns have proved its effectiveness and therefore such devices are used to monitor the body *** devices are either used on hands or *** a result,there are many issues in monitoring the temperature of frontline healthcare ***,these healthcare professionals keep wearing PPE(Personal Protective Equipment)kits during working hours and as a result it would be very difficult to monitor their body ***,these healthcare professionals also wear face shields and in such cases monitoring temperature by exposing forehead needs removal of face *** so after regular intervals is surely uncomfortable for healthcare *** avoid such issues,this paper is disclosing a technologically advanced face shield equipped with sensors capable of monitoring body temperature instantly without the hassle of removing the face *** face shield is integrated with a built-in infrared temperature sensor.A total of 10 such face shields were printed and assembled within the university lab and then handed over to a group of ten members including faculty and students of nursing and health science *** sequence was repeated four times and as a result 40 healthcare workers participated in the ***,feedback analysis was conducted on questionnaire data and found a significant overall mean score of 4.59 out of 5 which indicates that the product is effective and worthy in every *** analysis is also performed in the simulated environment and found that the device can easily withstand the typically applied *** limitations of this product are difficulty in cleaning the product and comparatively hig

关键词： Temperature sensing face shield electronic 3D face shield IoT enabled face-shield

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Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve

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Computers, Materials & Continua 2022年第7期72卷 1799-1814页

作者： Mudita Uppal Deepali Gupta Divya Anand Fahd S.Alharithi Jasem Almotiri arturo mansilla Dinesh Singh Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharPunjabIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Higher Polytechnic School/Industrial Organization Engineering Universidad Europea del AtlánticoIsabel Torres 2139011SantanderSpain Department of Project Management Universidad Internacional IberoamericanaCampeche24560Mexico Computer Science and Engineering Department Deenbandhu Chhotu Ram University of Science and TechnologyMurthalSonipatHaryanaIndia

The rapid expansion of Internet of Things(IoT)devices deploys various sensors in different applications like homes,cities and *** applications depend upon the accuracy of sensor ***,it is necessary to predict faults in the sensor and isolate their cause.A novel primitive technique named fall curve is presented in this paper which characterizes sensor *** technique identifies the faulty sensor and determines the correct working of the *** sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular *** prediction in digital and analog sensors along with methods of sensor fault prediction are *** are several advantages and disadvantages of sensor fault prediction methods and the fall curve ***,some solutions are provided to overcome the limitations of the fall curve *** this paper,a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five *** novelty is to predict a fault before its occurrence by looking at the fall *** sensing of current flow in devices is important to prevent a major ***,the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty *** analysis result proved that if any of the current sensors gets faulty,then the fall curve will differ and the value will immediately drop to *** evaluation metrics for fault prediction are also described in this *** last,this paper also addresses some possible open research issues which are important to deal with false IoT sensor data.

关键词： Fault identification fault classification IoT sensor nodes analog sensors digital sensors fall curve

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