TY - GEN
T1 - Internal Virus Detection Framework Based on IoT Semantic Interoperability
AU - Andreas, Andreou
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Mukherjee, Mithun
AU - Pallis, Evangelos
N1 - Funding Information:
This research work was funded by the Smart and Health Ageing through People Engaging in supporting Systems SHAPES project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857159. The work of the Polish investigators has been supported by the National Science Centre in Poland, Sonata-bis Programme, through the project framework “Context-Aware Adaptation Frame-work for eMBB services in 5G networks”, under Grant No 2018/30/E/ST7/00413.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Since the outbreak of the COVID-19 pandemic, indoor air quality has become increasingly important. The interdisciplinary grouping of academic majors focused on the pursuit of solutions that identify or prevent the airborne transmission and inhalation, initially of Coronavirus and secondarily of viruses such as influenza. Throughout the research work, we aim to contribute by elaborating the teaching-learning technique to select and identify the optimal attributes of viruses' variants of the indoor atmosphere. The novelty is based on the objective to enable real-time identification of the density of the airborne molecules to prevent virus propagation. Several sensors and systems came into the spotlight by conducting a systematic literature review that, in conjunction with our innovative idea, could construct a revolutionary new solution that could eliminate the risk of exposure to viable viruses. The proposed teaching-learning based attribute selection optimisation is among the most popular bio-inspired meta-heuristic methods. Therefore, evolutionary logic and provocative performance can be widely utilised to solve the aforementioned humanitarian problem. The proposed frame constitutes three pivotal steps: the new update mechanism, the novel method of selecting the principal teacher in the teacher's phase, and the support vector machine method to compute the fitness function of optimisation.
AB - Since the outbreak of the COVID-19 pandemic, indoor air quality has become increasingly important. The interdisciplinary grouping of academic majors focused on the pursuit of solutions that identify or prevent the airborne transmission and inhalation, initially of Coronavirus and secondarily of viruses such as influenza. Throughout the research work, we aim to contribute by elaborating the teaching-learning technique to select and identify the optimal attributes of viruses' variants of the indoor atmosphere. The novelty is based on the objective to enable real-time identification of the density of the airborne molecules to prevent virus propagation. Several sensors and systems came into the spotlight by conducting a systematic literature review that, in conjunction with our innovative idea, could construct a revolutionary new solution that could eliminate the risk of exposure to viable viruses. The proposed teaching-learning based attribute selection optimisation is among the most popular bio-inspired meta-heuristic methods. Therefore, evolutionary logic and provocative performance can be widely utilised to solve the aforementioned humanitarian problem. The proposed frame constitutes three pivotal steps: the new update mechanism, the novel method of selecting the principal teacher in the teacher's phase, and the support vector machine method to compute the fitness function of optimisation.
KW - air quality
KW - covid-19
KW - epidemic
KW - machine learning
KW - pandemic
KW - teaching-learning
UR - http://www.scopus.com/inward/record.url?scp=85137260773&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9838625
DO - 10.1109/ICC45855.2022.9838625
M3 - Conference contribution
AN - SCOPUS:85137260773
T3 - IEEE International Conference on Communications
SP - 1444
EP - 1449
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -