Since the term of a smart city was proposed, Internet of Things (IoT) has been considered as the infrastructure’s key in a smart city. Huge research consideration is an emphasis on remote wellbeing observing system dependent on IoT technology. IoT is the internetwork of physical objects or “things” that are embedded with software and sensors to collect and send data between them and central servers with minimum human intervention. This term can assist decline with constraining on medical clinic system and healthcare suppliers, decrease insurance costs, and improve healthcare. In the modern healthcare environment, IoT is being used in various medical areas like real-time monitoring, patient information management, medical emergency management and blood information management. Over these years a number of advanced applications based on IoT have been proposed for convenience of patients, doctors and caregivers in the healthcare sector. Therefore, the current study describes the applications of IoT technologies in medical and healthcare field. Moreover, the it highlights the huge potential of this process and future directions for further research.
In recent years the trends were towards modeling of machining using artificial intelligence. ANN is considered one of the important methods of artificial intelligence in the modeling of nonlinear problems like machining processes. Artificial neural networks show good capability in prediction and optimization of machining processes compared with traditional methods. In view of the importance of artificial neural networks in machining, this paper is an attempt to review the previous studies and investigations on the application of artificial neural networks in the milling process for the last decade.
Coronavirus Disease 19 or well known asCovid-19 is infectious disease that attack human respirator system. This virus is contagious due to its fast transmission from small droplets that come to people that sneezing, coughing, or even talking. This virus can stay in air for long time and it also can survive on the inanimate surface things. During this time, some places like hospital, mall, and station are places where crowds gathered. People in those places have possibility to spread the virus not only through close contact but also due to touching the infected surfaces. That is why device that able to clean the infected surfaces needed. The Internet of Things based robots may give big impact in combating the coronavirus that stay on inanimate surfaces. The proposed system is the robot that able to disinfect the surfaces of things using UV-C lights. The implementation of UV disinfectant robot will indeed help health authorities in reducing the transmission.
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