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  • Open Access

    ARTICLE

    Experimental Study of Effect of Temperature Variations on the Impedance Signature of PZT Sensors for Fatigue Crack Detection

    Saqlain Abbas1,2,*, Fucai Li1, Zulkarnain Abbas3,4, Taufeeq Ur Rehman Abbasi5, Xiaotong Tu6, Riffat Asim Pasha7

    Sound & Vibration, Vol.55, No.1, pp. 1-18, 2021, DOI:10.32604/sv.2021.013754

    Abstract Structural health monitoring (SHM) is recognized as an efficient tool to interpret the reliability of a wide variety of infrastructures. To identify the structural abnormality by utilizing the electromechanical coupling property of piezoelectric transducers, the electromechanical impedance (EMI) approach is preferred. However, in real-time SHM applications, the monitored structure is exposed to several varying environmental and operating conditions (EOCs). The previous study has recognized the temperature variations as one of the serious EOCs that affect the optimal performance of the damage inspection process. In this framework, an experimental setup is developed in current research to… More >

  • Open Access

    ARTICLE

    A Formal Testing Model for Operating Room Control System Using Internet of Things

    Moez Krichen1, Seifeddine Mechti2, Roobaea Alroobaea3, Elyes Said4, Parminder Singh5, Osamah Ibrahim Khalaf6, Mehedi Masud3,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2997-3011, 2021, DOI:10.32604/cmc.2021.014090

    Abstract Technological advances in recent years have significantly changed the way an operating room works. This work aims to create a platform to solve the problems of operating room occupancy and prepare the rooms with an environment that is favorable for all operations. Using this system, a doctor can control all operation rooms, especially before an operation, and monitor their temperature and humidity to prepare for the operation. Also, in the event of a problem, an alert is sent to the nurse responsible for the room and medical stuff so that the problem can be resolved.… More >

  • Open Access

    ARTICLE

    Motion-Based Activities Monitoring through Biometric Sensors Using Genetic Algorithm

    Mohammed Alshehri1,*, Purushottam Sharma2, Richa Sharma2, Osama Alfarraj3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2525-2538, 2021, DOI:10.32604/cmc.2021.012469

    Abstract Sensors and physical activity evaluation are quite limited for motion-based commercial devices. Sometimes the accelerometer of the smartwatch is utilized; walking is investigated. The combination can perform better in terms of sensors and that can be determined by sensors on both the smartwatch and phones, i.e., accelerometer and gyroscope. For biometric efficiency, some of the diverse activities of daily routine have been evaluated, also with biometric authentication. The result shows that using the different computing techniques in phones and watch for biometric can provide a suitable output based on the mentioned activities. This indicates that… More >

  • Open Access

    ARTICLE

    Artificial Intelligence-Based Semantic Segmentation of Ocular Regions for Biometrics and Healthcare Applications

    Rizwan Ali Naqvi1, Dildar Hussain2, Woong-Kee Loh3,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 715-732, 2021, DOI:10.32604/cmc.2020.013249

    Abstract Multiple ocular region segmentation plays an important role in different applications such as biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation techniques focus on a single region of the eye at a time. Despite the number of obvious advantages, very limited research has focused on multiple regions of the eye. Similarly, accurate segmentation of multiple eye regions is necessary in challenging scenarios involving blur, ghost effects low resolution, off-angles, and unusual glints. Currently, the available segmentation methods cannot address these constraints. In this paper, to address the accurate segmentation of multiple eye regions in… More >

  • Open Access

    ARTICLE

    Internet of Things in Healthcare: Architecture, Applications, Challenges, and Solutions

    Vankamamidi S. Naresh1,∗,†, Suryateja S. Pericherla2,‡, Pilla Sita Rama Murty3,§, Sivaranjani Reddi4,¶

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 411-421, 2020, DOI:10.32604/csse.2020.35.411

    Abstract Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT). Many healthcare leaders are investing more money for transforming their services to harness the benefits provided by IoT, thereby paving the way for the Internet of Medical Things (IoMT), an extensive collection of medical sensors and associated infrastructure. IoMT has many benefits like providing remote healthcare by monitoring health vitals of patients at a distant place, providing healthcare services to elderly people, and monitoring a large group of people in a region More >

  • Open Access

    ARTICLE

    State-Space Based Linear Modeling for Human Activity Recognition in Smart Space

    M. Humayun Kabir1, Keshav Thapa2, Jae-Young Yang2, Sung-HyunYang2

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 673-681, 2019, DOI:10.31209/2018.100000035

    Abstract Recognition of human activity is a key element for building intelligent and pervasive environments. Inhabitants interact with several objects and devices while performing any activity. Interactive objects and devices convey information that can be essential factors for activity recognition. Using embedded sensors with devices or objects, it is possible to get object-use sequencing data. This approach does not create discomfort to the user than wearable sensors and has no impact or issue in terms of user privacy than image sensors. In this paper, we propose a linear model for activity recognition based on the state-space More >

  • Open Access

    ABSTRACT

    High Glucose Reduces the Shear Stress-Induced CD59 Expression on EPCs through F-Actin Alteration

    Na Liu1, Xiaoyun Zhang2, Yuzhen Ding2, Hong Li2, Xiumei Guan2, Min Cheng2,*, Xiaodong Cui2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 87-87, 2019, DOI:10.32604/mcb.2019.05751

    Abstract Objective: Endothelial progenitor cells (EPCs) play a vital role in postnatal vascular injury and repair, especially vasculogenesis and angiogenesis. The purpose of this study was to investigate the effect of laminar shear stress in attenuating the decreased-expression of complement regulatory protein CD59 and the mechanism of cytoskeleton F-actin. Methods: EPCs were isolated from human umbilical vein blood and planted on glass slides, which applied to the laminar shear stress force (12 dyne/cm2) in a high glucose (20 mM) culture environment. The gene and protein expression of CD59 were detected by SYBGreen quantitative PCR and fluorescence activated… More >

  • Open Access

    ABSTRACT

    Buckling Detection Using Carbon Nanotube Reinforced Composite Sensors

    Enrique García-Macías1, Luis Rodríguez-Tembleque1, Felipe García-Sánchez2, Andrés Sáez1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 103-103, 2019, DOI:10.32604/icces.2019.05220

    Abstract Enhancing the strength-to-weight ratio in structural engineering has traditionally attracted great research efforts from both scientist and practicing engineers. Development of new composite materials and/or alternative structural configurations have led to slender designs, which may be prone to buckling failure. Meanwhile, the most recent advances in the field of Nanotechnology have allowed the development of new composite materials with not only low weight and adequate load-bearing capacity, but also additional self-sensing capabilities. Such multifunctional composites open a vast range of possibilities in the field of Structural Health Monitoring. In particular, this work analyzes-from a numerical… More >

  • Open Access

    ARTICLE

    High-g Shocking Testing of the Martlet Wireless Sensing System

    Xi Liu, Xinjun Dong, Yang Wang*, Jacob Dodson, Bryan Joyce

    Sound & Vibration, Vol.52, No.3, pp. 6-11, 2018, DOI:10.32604/sv.2018.03857

    Abstract This article reports the latest development of a wireless sensing system, named Martlet, on high-g shock acceleration measurement. The Martlet sensing node design is based on a Texas Instruments Piccolo microcontroller, with clock frequency programmable up to 90 MHz. The high clock frequency of the microcontroller enables Martlet to support high-frequency data acquisition and high-speed onboard computation. In addition, the extensible design of the Martlet node conveniently allows incorporation of multiple sensor boards. In this study, a high-g accelerometer interface board is developed to allow Martlet to work with the selected microelectromechanical system (MEMS) high-g accelerometers. Besides low-pass More >

  • Open Access

    ARTICLE

    Vapor and Pressure Sensors Based on Cellulose Nanofibers and Carbon Nanotubes Aerogel with Thermoelectric Properties

    Rajendran Muthuraj, Abhishek Sachan, Mickael Castro*, Jean-François Feller, Bastien Seantier*, Yves Grohens

    Journal of Renewable Materials, Vol.6, No.3, pp. 277-287, 2018, DOI:10.7569/JRM.2017.634182

    Abstract In this work, thermally insulating and electrically conductive aerogels were prepared from cellulose nanofibers (CNF) and carbon nanotubes (CNTs) by environmentally friendly freeze-drying process. The thermal conductivity of neat CNF aerogel is 24 mW/(m·K) with a density of 0.025 g/cm3. With the addition of CNTs into CNF aerogel, the electrical conductivity was significantly increased while the thermal conductivity was increased to 38 mW/(m·K). Due to these interesting properties, the Seebeck coefficient and the figure of merit (ZT) of the CNF/CNTs aerogels were measured and showed that CNF/CNTs aerogel thermoelectric properties can be improved. The compressibility More >

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