A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic.

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic worldwide. Within eight months (by August 2020), it infected 24.0 million persons worldwide and over 824 thousand have died. Drones or Unmanned Aerial Vehicles (UAVs) are very helpful in handling the COVID-19 pandemic. This work investigates the drone-based systems, COVID-19 pandemic situations, and proposes an architecture for handling pandemic situations in different scenarios using real-time and simulation-based scenarios. The proposed architecture uses wearable sensors to record the observations in Body Area Networks (BANs) in a push-pull data fetching mechanism. The proposed architecture is found to be useful in remote and highly congested pandemic areas where either the wireless or Internet connectivity is a major issue or chances of COVID-19 spreading are high. It collects and stores the substantial amount of data in a stipulated period and helps to take appropriate action as and when required. In real-time drone-based healthcare system implementation for COVID-19 operations, it is observed that a large area can be covered for sanitization, thermal image collection, and patient identification within a short period (2 KMs within 10 min approx.) through aerial route. In the simulation, the same statistics are observed with an addition of collision-resistant strategies working successfully for indoor and outdoor healthcare operations. Further, open challenges are identified and promising research directions are highlighted

Security of Big Data over IoT Environment by Integration of Deep Learning and Optimization

This is especially true given the spread of IoT, which makes it possible for two-way communication between various electronic devices and is therefore essential to contemporary living. However, it has been shown that IoT may be readily exploited. There is a need to develop new technology or combine existing ones to address these security issues. DL, a kind of ML, has been used in earlier studies to discover security breaches with good results. IoT device data is abundant, diverse, and trustworthy. Thus, improved performance and data management are attainable with help of big data technology. The current state of IoT security, big data, and deep learning led to an all-encompassing study of the topic. This study examines the interrelationships of big data, IoT security, and DL technologies, and draws parallels between these three areas. Technical works in all three fields have been compared, allowing for the development of a thematic taxonomy. Finally, we have laid the groundwork for further investigation into IoT security concerns by identifying and assessing the obstacles inherent in using DL for security utilizing big data. The security of large data has been taken into consideration in this article by categorizing various dangers using a deep learning method. The purpose of optimization is to raise both accuracy and performance

Sensor data fusion for the industrial artificial intelligence of things

The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the effective processing of industrial sensor data. This paper introduces a new framework for addressing the different challenges of the AIoT applications. The proposed framework is an intelligent combination of multi-agent systems, knowledge graphs and deep learning. Deep learning architectures are used to create models from different sensor-based data. Multi-agent systems can be used for simulating the collective behaviours of the smart sensors using IoT settings. The communication among different agents is realized by integrating knowledge graphs. Different optimizations based on constraint satisfaction as well as evolutionary computation are also investigated. Experimental analysis is undertaken to compare the methodology presented to state-of-the-art AIoT technologies. We show through experimentation that our designed framework achieves good performance compared to baseline solutions.publishedVersio

An overview of technologies deployed in GCC Countries to combat COVID-19

Since December 2019, COVID-19 and all of its variants continue to ravage the planet with consequent negative impact that has completely changed our lives within a short period of time after the outbreak of the Virus. On March 11, 2020, COVID-19 was declared a global pandemic by the World Health Organisation. Since then, a group of new COVID-19 variants has emerged posing a greater danger to humanity. By the start of August 2021, the reported COVID-19 related death toll across the globe has rocketed to 4,233,139. To deal with the COVID-19 pandemic, countries across the world have rushed to develop various techniques in order to embrace an array of solutions to the problem. Covid-19 negatively affected countries in several sectors including industry, business, health, and education to name a few. The Gulf Cooperation Council (GCC) countries are among the top countries which use cutting-edge technologies in several sectors. This significantly helped these countries to overcome the spread of this virus. In this paper, we present an overview of the technologies, techniques, solutions, and strategies deployed by the Gulf Cooperation Council (GCC) countries to combat the COVID-19 pandemic in order to safeguard their citizens and speedy return of life to normalcy

An overview of technologies deployed in GCC Countries to combat COVID-19

Since December 2019, COVID-19 and all of its variants continue to ravage the planet with consequent negative impact that has completely changed our lives within a short period of time after the outbreak of the Virus. On March 11, 2020, COVID-19 was declared a global pandemic by the World Health Organization. Since then, a group of new COVID-19 variants has emerged posing a greater danger to humanity. By the start of August 2021, the reported COVID-19 related death toll across the globe has rocketed to 4,233,139. To deal with the COVID-19 pandemic, countries across the world have rushed to develop various techniques in order to embrace an array of solutions to the problem. Covid-19 negatively affected countries in several sectors including industry, business, health, and education to name a few. The Gulf Cooperation Council (GCC) countries are among the top countries which use cutting-edge technologies in several sectors. This significantly helped these countries to overcome the spread of this virus. In this paper, we present an overview of the technologies, techniques, solutions, and strategies deployed by the Gulf Cooperation Council (GCC) countries to combat the COVID-19 pandemic in order to safeguard their citizens and speedy return of life to normalc

Fighting Pandemics Using Non-Pharmaceutical Technologies and IoT Solutions: A Systematic Literature Review

BACKGROUND: Covid-19, ever since it culminated into a full on global pandemic, has been the focus of much human endeavour. These have mainly come in one of two forms: as pharmaceutical interventions like vaccines, or non-pharmaceutical interventions like social distancing, and contact tracing. While both were partially successful, the overall image of the Covid-19 pandemic has been one of failure, with an inability to fully stop the virus. Moreover, many problems were had even dealing with its consequences, as health systems got overwhelmed, and governments generally could not respond appropriately, or in time. Vaccines were not made available in due time in many places. In most developing countries vaccination rates are still low, showcasing the inequity that was brought by this pandemic, and the problems with administrating vaccines at a global level, across many cultures. Perhaps even worse, we know that there is an appreciable chance that the SARS-CoV-2 virus will not be the last, with new viruses as possible threats for humanity, and new variants evolving, constantly eluding the scope of otherwise static vaccines. Therefore, in this systematic literature review, non-pharmaceutical technological interventions (NPIs) and IoT technologies are explored as perhaps the most viable solutions for curbing current and subsequent pandemics, trying to overcome inequity of resources, and transitioning into a society that is pandemic resistant, rather than prone. METHODS: Papers were chosen from three databases (Scopus, IEEE, ACM) after various inquiries. These databases were chosen specifically for the control they give in search function, their size, and relevance, especially concerning IEEE and ACM. Inclusion criteria were that the NPI, technology or solution in general had to have been successfully tested, or utilized in real world cases, or studies. Technologies that were pharmaceutical in nature were excluded. RESULTS: A wide selection of technologies were observed to be not only available, but partly, or completely, in successful use. The main challenges moving further were identified as 1) the need for further, and more technologically varied adoption, and 2) better coordination between various pre-existing solutions via software and IoT technologies, culminating in smarter cities. DISCUSSION: One of the limitations to this study is that while there were a lot of solutions found aimed at bettering many NPIs, with such a large set of selections, that comparisons of effectiveness between these methods were limited. Most times the main comparative piece was the current state of the industry solution, or none at all as the proposal was new technology. Another was the near impossibility of bringing together all technologies, as a consensus is far from being reached, and new solutions are proposed monthly. OTHER: No funding was received.BACKGROUND: Covid-19, ever since it culminated into a full on global pandemic, has been the focus of much human endeavour. These have mainly come in one of two forms: as pharmaceutical interventions like vaccines, or non-pharmaceutical interventions like social distancing, and contact tracing. While both were partially successful, the overall image of the Covid-19 pandemic has been one of failure, with an inability to fully stop the virus. Moreover, many problems were had even dealing with its consequences, as health systems got overwhelmed, and governments generally could not respond appropriately, or in time. Vaccines were not made available in due time in many places. In most developing countries vaccination rates are still low, showcasing the inequity that was brought by this pandemic, and the problems with administrating vaccines at a global level, across many cultures. Perhaps even worse, we know that there is an appreciable chance that the SARS-CoV-2 virus will not be the last, with new viruses as possible threats for humanity, and new variants evolving, constantly eluding the scope of otherwise static vaccines. Therefore, in this systematic literature review, non-pharmaceutical technological interventions (NPIs) and IoT technologies are explored as perhaps the most viable solutions for curbing current and subsequent pandemics, trying to overcome inequity of resources, and transitioning into a society that is pandemic resistant, rather than prone. METHODS: Papers were chosen from three databases (Scopus, IEEE, ACM) after various inquiries. These databases were chosen specifically for the control they give in search function, their size, and relevance, especially concerning IEEE and ACM. Inclusion criteria were that the NPI, technology or solution in general had to have been successfully tested, or utilized in real world cases, or studies. Technologies that were pharmaceutical in nature were excluded. RESULTS: A wide selection of technologies were observed to be not only available, but partly, or completely, in successful use. The main challenges moving further were identified as 1) the need for further, and more technologically varied adoption, and 2) better coordination between various pre-existing solutions via software and IoT technologies, culminating in smarter cities. DISCUSSION: One of the limitations to this study is that while there were a lot of solutions found aimed at bettering many NPIs, with such a large set of selections, that comparisons of effectiveness between these methods were limited. Most times the main comparative piece was the current state of the industry solution, or none at all as the proposal was new technology. Another was the near impossibility of bringing together all technologies, as a consensus is far from being reached, and new solutions are proposed monthly. OTHER: No funding was received