Design a smart infrastructure monitoring system: a response in the age of COVID-19 pandemic

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.

Social Networking Security during COVID-19: A Systematic Literature Review

“…During the Covid-19 pandemic, an attack named Covid-Lock appears as a malicious app that requires bitcoin to recover the end user's phone. The threat which made users worry was the leakage of personal data or deletion of the whole phone data [112]. Similarly, if an end-user creates a backup of their smartphone's data, it can be hacked on the base of a trojan horse attack too.…”

Infrastructure Smart Service System Based on Microservice Architecture from the Perspective of Informatization

“…e results showed that the system achieves 99.9% accuracy in the range of (500 ± 5) cm [2]. Imoize et al researched sustainable social intelligence infrastructure supporting 6G, introduced the evolution background of different wireless communication standards and emerging 6G applications such as multisensory extended reality and digital replication.…”

Indoor Air CO2 Sensors and Possible Uncertainties of Measurements: A Review and an Example of Practical Measurements

“…One of the distinctive features of the paper is combination of various Internet of Things (IoT) sensing. While many of the solutions rely on massive testing, wearable devices, and other intrusive methods or do not provide timely identification of threats and response [22][23][24][25], this study proposes to combine various sensing technologies to achieve timely and non-intrusive detection of infection threats and to enact suitable response mechanisms. The paper is structured as follows: Section 2 presents the air quality sensors review, calibration specifics of commercially available sensors, including details of the operation of ventilation systems and sensors placement.…”