Innovative People Nursing for Parents and Kids with Autism
Article Main Content
Embedded systems for the Internet of Things in houses are capable of using wireless connectivity. In order to operate the home appliances through the relay, the Home Monitoring platform and sensors have been interfaced with the Node MCU controller. The most trustworthy and efficient short-range communication tool is a combination of three distinct sensors. Using a heartbeat sensor, you may regulate peak and off-peak times by controlling and watching human behavior. Therefore, the gadget may be turned ON/OFF depending on the person present if available using the humidity and IR sensor in the home.
References
-
Okorie PU, Abdu Ibrahim A, Auwal D. Design and Implementation of an Arduino Based Smart Home. International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1-6, 2020.
Google Scholar
1
-
Shi Z, Chu J, Geng L, Zheng P, Liu D. Design of Smart Home Control System Based on Embedded System. IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pp. 2209-2213, no. 23, 2020.
Google Scholar
2
-
Catur Siswipraptini P, Nur Aziza R, Asura M, Siregar RRA, Abdul Jabar M. K-Means Clustering Algorithm for Smart Home Automation. 8th International Conference on Control, Mechatronics and Automation (ICCMA), pp. 207-211, 2020.
Google Scholar
3
-
Loka R, Parimi AM. Home Inverter Based Coordinated and Distributed Frequency Control in a Smart Hybrid Power System. IEEE 17th India Council International Conference (INDICON), pp. 1-6, 2020.
Google Scholar
4
-
Elegant, Fallon J. IoT-based Home Automation Using Android Application. 2020 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1-4, 2020.
Google Scholar
5
-
Beula GS, Rathika P. ZigBee Transceiver Design for Smart Grid Home Area Network using MATLAB Simulink. 2020 International Conference on Emerging Trends in Information Technology and Engineering (IC-ETITE), pp. 1-5, 2020.
Google Scholar
6
-
Zhang H, Wu D, Boulet B. A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management. 2020 IEEE Electric Power and Energy Conference (EPEC), pp. 1-6, 2020.
Google Scholar
7
-
Sajeev, Rajamani HS. Cyber-Attacks on Smart Home Energy Management Systems under Aggregators. International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), pp. 1-5, 2020.
Google Scholar
8
-
Khan M, Khan MTR, Saad MM, Kim D. A User Profile-based Smart Home Energy Management System. International Conference on Information and Communication Technology Convergence (ICTC), pp. 646-651, 2020.
Google Scholar
9
-
Balaji B, Priya R, Revathy R. Domestic Automation System Using Internet of Things and Arduino. 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-4, 2020.
Google Scholar
10
Most read articles by the same author(s)
-
Senthil Jayapal,
Hala Ali Juma Al Badouya,
Al-Zahraa Saif Ali Masoud Al Maskari,
Defending Industry Data Against Harm Brought by Natural Catastrophes , European Journal of Electrical Engineering and Computer Science: Vol. 7 No. 3 (2023)





