The threat to ecological balance can turn into a global problem, and we observe its deviations, which arise as a result of complex relationships between natural and social environments. Direct and indirect human impact on Earth's ecosystems together and interdependently form the planet's ecosystem, resulting in changes in the social environment of a human. Today's global problems are increasingly shifting to the side of developing countries, where environmental pressure is increasing because along with "pre-industrial" pollution, a new one is emerging, related to the invasion of multinational corporations and "exports" of polluting industries to "third world" countries. Modern "industrial" pollution in developing countries is the result of the transfer of many polluting industries to the "third world", such as the construction of enterprises, chemical plants, chemicalization of agriculture. Due to this, the concentration of the population in the largest agglomerations is growing.
1. Anitha, M., Jhansi Rani, G., Raghava Kumara, D., & Anuradha P. (2020). Implementation of arthemetic logic unit using quaternary signed digit number system. International Journal of Psychosocial Rehabilitation, 24(8), 363-375. doi: https://doi.org/10.37200/IJPR/V24I8/PR281513
2. Arasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A., Troisi, O., Shafie-Khah, M., & Siano, P. (2016). Iot-based smartcities: a survey IEEE. 16th International Conference Environment and Electrical Engineering (EEEIC), 1-6. doi: https://doi.org/10.1109/EEEIC.2016.7555867
https://doi.org/10.1109/EEEIC.2016.7555867
3. Augusto, J.C., & McCullagh, P.J. (2007). Ambient intelligence: Concepts and applications. Computer.Sci. Inf. Syst., 4(1), 1-27. doi: https://doi.org/10.3233/AIS-180508
https://doi.org/10.3233/AIS-180508
4. Baggio, A. (2005).Wireless sensor networksin precision agriculture. Real World Wireless Sensor Networks Stockholm Sweden, 20, 587-594. doi: https://doi.org/10.4236/wsn.2016.81001
https://doi.org/10.4236/wsn.2016.81001
5. Bahrepour, M., Meratnia, N., Poel, M., Taghikhaki, Z., Havinga, P.J. (2010). Distributed Event detection inwireless sensor networks for disaster management International conference on intelligent networking and collaborative systems (IEEE), 3, 507-512. doi: https://doi.org/10.1109/INCOS.2010.24
https://doi.org/10.1109/INCOS.2010.24
6. Delden, S., & Whigham, A. (2013). A Bluetooth-based Architecture for Android Communication with an Articulated Robot, IEEE, 47, 777-780. doi: https://doi.org/10.1109/CTS.2012.6261035
https://doi.org/10.1109/CTS.2012.6261035
7. Jhansi Rani, G., Raghava Kumari, D., Anitha, M., & Sarita, B. (2020). Analysis of raspberry pi based ATM theft monitoring and security system. International Journal of Psychosocial Rehabilitation, 24(8), 376-383. doi: https://doi.org/10.37200/IJPR/V24I8/PR281514
8. Jenifer, T., Priyadharshini, T., Lavanya, R., & Pandian S. (2012). Mobile Robot Temperature Monitoring System Controlled by Android Application via Bluetooth. International Journal on Advanced Computer Theory and Engineering, 2, 138-142.doi: https://doi.org/10.7305/2015.10.1057
9. Palaniappan, S., Hariharan, N., Kesh, N., & Deborah, A. (2015). A Study – Home Automation Systems. International Journal of Computer Applications, 116(11), 11-18. doi: https://doi.org/10.5120/20379-2601
https://doi.org/10.5120/20379-2601
10. Spong, M., Fujita, M., AbdulIshaq, T., & Irfan, K.A. (2016). Gesture Controlled robotic arm using wireless networks. International Journal of Core Engineering & Management, 3(1), 10 – 17. doi: https://doi.org/10.1088/1757-899X/981/3/032025
https://doi.org/10.1088/1757-899X/981/3/032025
11. Srinivas, K, Kumar, J.T., & Merugu, S. (2019). GEVD based on multichannel wiener filter for removal of EEG artifacts. International Journal of Innovative Technology and Exploring Engineering, 8(10) 2417-2421. doi: https://doi.org/10.35940/ijitee.H6755.0881019
https://doi.org/10.35940/ijitee.H6755.0881019
12. Zheng, S., & Hong, Xu (2014). The remote monitoring system basedon Raspberry Pi. Microcomputer and Its Applications, 19, 105-107. doi: https://doi.org/3390/su13158120