FOUED KHOFFI^1,*, OMAR HARZALLAH², JEAN YVES DREAN²

Journal of Polymer Materials, Vol.40, No.1-2, pp. 59-69, 2023, DOI:10.32381/JPM.2023.40.1-2.5

Abstract The aim of this study is to analyze the interfacial and the frictional properties of copper (Cu) reinforced polyethylene terephthalate (PET) filament. This Cu-Embedded PET filament will be used as an information transmitter. This filament was prepared by a co-extrusion process. Mechanical properties of these filaments have been quantified by tensile and pull-out analyses. It is shown that the mechanical properties of composite filament were improved by adding the copper filament (from 0.82 to 1.2 GPa). The results of the pull-out test revealed some adhesion between the copper and the PET despite the existence of More >

Narit Hnoohom¹, Sakorn Mekruksavanich², Anuchit Jitpattanakul^3,4,*

Intelligent Automation & Soft Computing, Vol.38, No.2, pp. 139-151, 2023, DOI:10.32604/iasc.2023.033940 - 05 February 2024

Abstract Accidents are still an issue in an intelligent transportation system, despite developments in self-driving technology (ITS). Drivers who engage in risky behavior account for more than half of all road accidents. As a result, reckless driving behaviour can cause congestion and delays. Computer vision and multimodal sensors have been used to study driving behaviour categorization to lessen this problem. Previous research has also collected and analyzed a wide range of data, including electroencephalography (EEG), electrooculography (EOG), and photographs of the driver’s face. On the other hand, driving a car is a complicated action that requires… More >

Xiaoqin Wu, Songrong Qian^*, Ming Yang

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3349-3366, 2023, DOI:10.32604/cmc.2023.043671 - 26 December 2023

Abstract Safety helmets can reduce head injuries from object impacts and lower the probability of safety accidents, as well as being of great significance to construction safety. However, for a variety of reasons, construction workers nowadays may not strictly enforce the rules of wearing safety helmets. In order to strengthen the safety of construction site, the traditional practice is to manage it through methods such as regular inspections by safety officers, but the cost is high and the effect is poor. With the popularization and application of construction site video monitoring, manual video monitoring has been… More >

Fadhil Mukhlif^1,*, Norafida Ithnin¹, Roobaea Alroobaea², Sultan Algarni³, Wael Y. Alghamdi², Ibrahim Hashem⁴

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 583-599, 2023, DOI:10.32604/cmc.2023.038757 - 31 October 2023

Abstract The World Health Organization (WHO) refers to the 2019 new coronavirus epidemic as COVID-19, and it has caused an unprecedented global crisis for several nations. Nearly every country around the globe is now very concerned about the effects of the COVID-19 outbreaks, which were previously only experienced by Chinese residents. Most of these nations are now under a partial or complete state of lockdown due to the lack of resources needed to combat the COVID-19 epidemic and the concern about overstretched healthcare systems. Every time the pandemic surprises them by providing new values for various… More >

Guangjun Liang^1,2,3, Jianfang Xin^4,*, Qun Wang^1,2, Xueli Ni^1,2,3, Xiangmin Guo^1,2,3, Pu Chen¹

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 799-825, 2023, DOI:10.32604/cmc.2023.038403 - 31 October 2023

Abstract As a subversive concept, the metaverse has recently attracted widespread attention around the world and has set off a wave of enthusiasm in academic, industrial, and investment circles. However, while the metaverse brings unprecedented opportunities for transformation to human society, it also contains related risks. Metaverse is a digital living space with information infrastructure, interoperability system, content production system, and value settlement system as the underlying structure in which the inner core is to connect real residents through applications and identities. Through social incentives and governance rules, the metaverse reflects the digital migration of human… More >

Sakorn Mekruksavanich¹, Narit Hnoohom², Anuchit Jitpattanakul^3,4,*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2669-2686, 2023, DOI:10.32604/iasc.2023.038549 - 11 September 2023

Abstract Recognition of human activity is one of the most exciting aspects of time-series classification, with substantial practical and theoretical implications. Recent evidence indicates that activity recognition from wearable sensors is an effective technique for tracking elderly adults and children in indoor and outdoor environments. Consequently, researchers have demonstrated considerable passion for developing cutting-edge deep learning systems capable of exploiting unprocessed sensor data from wearable devices and generating practical decision assistance in many contexts. This study provides a deep learning-based approach for recognizing indoor and outdoor movement utilizing an enhanced deep pyramidal residual model called SenPyramidNet… More >

Jianqiao Hu^1,2,*, Hengxu Song¹, Xiaoming Liu^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010554

Abstract Material wear between contact surfaces with relatively sliding can be related to the failure of elevated asperities at small scales. The asperity wear depends on various factors, including material properties, interfacial adhesion, and friction velocity. In this study, using a series of materials characterized by the modified coarse-grained potentials, we studied the rate effect of adhesive wear at the asperity level over a wide range of plowing conditions. The results showed that increasing plowing velocity leads to the transition of the wear mechanism from plasticity-induced asperity smoothing to the formation of fractured debris and thus… More >

Jianqiao Hu^1,2,*, Hengxu Song¹, Xiaoming Liu^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010554

Abstract Material wear between contact surfaces with relatively sliding can be related to the failure of elevated asperities at small scales. The asperity wear depends on various factors, including material properties, interfacial adhesion, and friction velocity. In this study, using a series of materials characterized by the modified coarse-grained potentials, we studied the rate effect of adhesive wear at the asperity level over a wide range of plowing conditions. The results showed that increasing plowing velocity leads to the transition of the wear mechanism from plasticity-induced asperity smoothing to the formation of fractured debris and thus… More >

Xin Wang^1,3, Ying Yan^1,3, Hongmei Ji^1,3,*, Xiaowu Li^1,2,*

Journal of Renewable Materials, Vol.11, No.8, pp. 3297-3308, 2023, DOI:10.32604/jrm.2023.027066 - 26 June 2023

Abstract As an essential renewable mineral resource, mollusk shells can be used as handicrafts, building materials, adsorbents, etc. However, there are few reports on the wear resistance of their structures. The Vicker’s hardness and friction, and wear resistance of different microstructures in mollusk shells were comparatively studied in the present work. The hardness of prismatic structures is lower than that of cross-lamellar and nacreous structures. However, the experimental results of sliding tests indicate that the prismatic structure exhibits the best anti-wear ability compared with foliated, crossed-lamellar, and nacreous structures. The anti-wear and hardness do not present More > Graphic Abstract

Junqi Guo^1,2, Qingyun Xiong^1,*, Minghui Yang¹, Ziyun Zhao¹

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 827-848, 2023, DOI:10.32604/cmc.2023.036450 - 08 June 2023

Abstract Nowadays, smart wearable devices are used widely in the Social Internet of Things (IoT), which record human physiological data in real time. To protect the data privacy of smart devices, researchers pay more attention to federated learning. Although the data leakage problem is somewhat solved, a new challenge has emerged. Asynchronous federated learning shortens the convergence time, while it has time delay and data heterogeneity problems. Both of the two problems harm the accuracy. To overcome these issues, we propose an asynchronous federated learning scheme based on double compensation to solve the problem of time… More >