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Effectiveness of comprehensive hand hygiene module on preschool children in Klang Valley, Malaysia
Rani, Mohd Dzulkhairi Mohd,Mohamed, Nurul Azmawati,Jamaluddin, Tengku Zetty Maztura Tengku,Ismail, Zarini,Ramli, Shalinawati,Faroque, Habibah,Abd Samad, Farishah Nur,Ariffien, Abdul Rasyid,Farid, Aisy The Korean Pediatric Society 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.3
Akeem Yusuf Adesina,Muzafar Hussain,Abbas Saeed Hakeem,Abdul Samad Mohammed,Muhammad Ali Ehsan,Ahmad Sorour 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.9
This study investigates the influence of heating rate on the tribological and corrosion properties of 52100 bearing steelsamples consolidated via spark plasma sintering. The consolidation was conducted at different heating rates of 50, 100,200, 300, and 400 °C/min and the thermomechanical properties of the resulting samples were characterized. Ball-on-disctribological tests and electrochemical techniques were used to evaluate the wear and corrosion resistance, respectively. The results showed that an increased heating rate positively affects the thermomechanical and tribological properties of52100 bearing steel. The sintered samples exhibited a low coefficient of friction (between 0.4 and 0.56) and a low wear rate(between 1.4 and 1.8 × 10−6 mm3/Nm) at heating rates between 100 and 400 °C/min. Furthermore, the corrosion resistanceof the samples gradually drops above the heating rate of 100 °C/min. The samples can be ranked in the order of decreasingcorrosion resistance thus: 100 > 200 > 300 > 400 > 50 °C/min. The improved corrosion resistance of the sample sintered at100 °C/min can be attributed to its refined crystal size and high density.
HASNAIN A. ALMASHHADANI,XIAOHENG DENG,OSAMAH R. AL-HWAIDI,SARMAD T. ABDUL-SAMAD,MOHAMMED M. IBRAHM,SUHAIB N. ABDUL LATIF 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
The Internet of Things (IoT) requires a new processing model that will allow scalability in cloud computing while reducing time delay caused by data transmission within a network. Such a model can be achieved by using resources that are closer to the user, i.e., by relying on edge computing (EC). The amount of IoT data also grows with an increase in the number of IoT devices. However, building such a flexible model within a heterogeneous environment is difficult in terms of resources. Moreover, the increasing demand for IoT services necessitates shortening time delay and response time by achieving effective load balancing. IoT devices are expected to generate huge amounts of data within a short amount of time. They will be dynamically deployed, and IoT services will be provided to EC devices or cloud servers to minimize resource costs while meeting the latency and quality of service (QoS) constraints of IoT applications when IoT devices are at the endpoint. EC is an emerging solution to the data processing problem in IoT. In this study, we improve the load balancing process and distribute resources fairly to tasks, which, in turn, will improve QoS in cloud and reduce processing time, and consequently, response time.