ABSTRACT
Lately, vaccination has been a widespread action to fight the pandemic, requiring the vaccines to be sent out to various places at various distances while staying at optimal quality, usually using cooler boxes. However, today's cooler boxes use ice instead of having a continuous refrigeration system. Thus, this paper presents a vaccine refrigeration box design and fabrication that uses a modified thermoelectric system as the refrigeration system, a conventional and solar charging system as its charging system, and a Bluetooth temperature sensor. From the result of the experiment, the box maintained full functionality for 210 minutes after being charged using a solar charging system. In terms of fully charging the power source, the conventional charging system takes 4 hours and 8 hours using the solar charging system. © 2022 IEEE.
ABSTRACT
Since the end of 2019, COVID-19 has been a challenge for the world, and it is expected that the world must take precautionary steps to tackle the virus spreading prior produces an efficient vaccine. Currently, most government efforts seek to avoid disseminating the coronavirus and forecast probable hot areas. The most susceptible to coronaviral infection are the healthcare staff due to their daily contact with potential patients. This article proposes a COVID-19 real-time system for tracking and identifying the suspected cases using an Internet of Things platform for capturing user symptoms and notify the authority. The proposed framework addressed four main components: (1) real-time symptom data collection via thermal scanning algorithm, (2) facial recognition algorithm, (3) a data analysis that uses artificial intelligence (AI) algorithm, and (4) a cloud infrastructure. A monitoring experiment was conducted to test three different ages, kid, middle, and older, considering the scanning distance influence compared with contact wearable sensors. The results show that 99.9% accuracy was achieved within a (500 ± 5) cm distance, and this accuracy tends to decrease as the distance the camera scanning and objects increased. The results also revealed that the scanning system's accuracy had been slightly changed as the environmental temperature dropped lower than 27 °C. Based on the high-temperature presence's simulated environment, the system demonstrated an effective and instant response via sending email and MQTT message to the person in charge of providing accurate identification of potential cases of COVID-19. © 2021, Springer Nature Switzerland AG.
ABSTRACT
The latest COVID-19 pandemic outbreak posed a significant risk to millions of people worldwide who are safe and well-being. As the environment continues to be open from lockdowns and becomes unprecedentedly tenuous or what many called a “new norm,” it makes sense to focus on what the society has experienced, re-examine our fundamental beliefs, and map the path of designing and creating a sustainable world. This article has summarized the latest technologies that have been recently implemented to control the spreading of COVID-19 through embedded smart monitoring systems and communicate effectively with the building management infrastructure. This article also discussed the statistical research analysis, which motivates the achievement of the targeted sustainable development goals (SDGs). Last but not least, the implemented technologies and their related variables to be controlled, challenges, and new perspectives were also addressed. © 2021, Springer Nature Switzerland AG.