Internet of Things Based Home Automation System
Keywords:
Counsellors, Education, Primary school, Professional, Problems
Abstract
This article discusses the problems militating against effective training programme of professional counsellors in Nigerian public primary schools. Primary and secondary data were used to provide empirical supports to all points raised in the article. The identified problems militating against effective training programme of professional counsellors in Nigerian public primary schools and recommended way forward for the effective training programme of professional counsellors in Nigerian public primary schools in Nigeria.
Downloads
Download data is not yet available.
References
1. Dhakad Kunal, Dhake Tushar, Undegaonkar Pooja, Zope Vaibhav, and Vinay Lodha, “Smart home automation using IOT,” in International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 2, February 2016
2. Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
3. Vivek Thoutam, “Physical Design, Origins And Applications Of lot”, Journal of Multidisciplinary Cases, Vol 01 , No 01 , Aug-Sept 2021
4. Ankit Narendrakumar Soni (2019). Spatical Context Based Satellite Image Classification-Review. International Journal of Scientific Research and Engineering Development, 2(6), 861-868.
5. I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 723-727, doi: 10.1109/ICOSEC49089.2020.9215282.
6. Vivek Thoutam, “A Study On Python Web Application Framework”, “Journal of E1ectronics, Computer Networking and Applied mathematics”, Vol 01 , No 01, Aug-Sept 2021
7. Jubin Dipakkumar Kothari” Garbage Level Monitoring Device Using Internet of Things with ESP8266”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 6,pp. 2995- 2998 , June 2018.
8. sridevi Balne, Anupriya Elumalai, Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review, Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.05.499.
9. V. D. Soni and A. N. Soni , “Cervical cancer diagnosis using convolution neural network with conditional random field, ” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021,pp 1746-1751.
10. Ankit Narendrakumar Soni (2019). Crack Detection in buildings using convolutional neural Network. JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE, 2(6), 54-59.
11. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
12. T. Zebin and S. Rezvy, “COVID-19 detection and disease progression visualization: deep learning on chest X-rays for classification and coarse localization,” Applied Intelligence, 2020.
13. Ankit Narendrakumar Soni (2018). Application and Analysis of Transfer Learning-Survey. International Journal of Scientific Research and Engineering Development, 1(2), 272-278.
14. Vivek Thoutam, “An Overview On The Reference Model And Stages Of lot Architecture”, “Journal of Artificial Intelligence, Machine Learning and Neural Network”, Vol 01, No 01, Aug-Sept 2021
15. R Alugubelli, “DATA MINING AND ANALYTICS FRAMEWORK FOR HEALTHCARE”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.534-546, February 2018, Available at : http://www.ijcrt.org/papers/IJCRT1134096.pdf
16. Jubin Dipakkumar Kothari “Detecting Welding Defects in Steel Plates using Machine Learning and Computer Vision Algorithms”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 9,pp. 3682- 3686,September 2018.
2. Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
3. Vivek Thoutam, “Physical Design, Origins And Applications Of lot”, Journal of Multidisciplinary Cases, Vol 01 , No 01 , Aug-Sept 2021
4. Ankit Narendrakumar Soni (2019). Spatical Context Based Satellite Image Classification-Review. International Journal of Scientific Research and Engineering Development, 2(6), 861-868.
5. I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 723-727, doi: 10.1109/ICOSEC49089.2020.9215282.
6. Vivek Thoutam, “A Study On Python Web Application Framework”, “Journal of E1ectronics, Computer Networking and Applied mathematics”, Vol 01 , No 01, Aug-Sept 2021
7. Jubin Dipakkumar Kothari” Garbage Level Monitoring Device Using Internet of Things with ESP8266”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 6,pp. 2995- 2998 , June 2018.
8. sridevi Balne, Anupriya Elumalai, Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review, Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.05.499.
9. V. D. Soni and A. N. Soni , “Cervical cancer diagnosis using convolution neural network with conditional random field, ” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021,pp 1746-1751.
10. Ankit Narendrakumar Soni (2019). Crack Detection in buildings using convolutional neural Network. JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE, 2(6), 54-59.
11. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
12. T. Zebin and S. Rezvy, “COVID-19 detection and disease progression visualization: deep learning on chest X-rays for classification and coarse localization,” Applied Intelligence, 2020.
13. Ankit Narendrakumar Soni (2018). Application and Analysis of Transfer Learning-Survey. International Journal of Scientific Research and Engineering Development, 1(2), 272-278.
14. Vivek Thoutam, “An Overview On The Reference Model And Stages Of lot Architecture”, “Journal of Artificial Intelligence, Machine Learning and Neural Network”, Vol 01, No 01, Aug-Sept 2021
15. R Alugubelli, “DATA MINING AND ANALYTICS FRAMEWORK FOR HEALTHCARE”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.534-546, February 2018, Available at : http://www.ijcrt.org/papers/IJCRT1134096.pdf
16. Jubin Dipakkumar Kothari “Detecting Welding Defects in Steel Plates using Machine Learning and Computer Vision Algorithms”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 9,pp. 3682- 3686,September 2018.
Published
2021-11-22
How to Cite
Dulless , P. (2021). Internet of Things Based Home Automation System. Central Asian Journal of Theoretical and Applied Science, 2(11), 118-123. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/281
Section
Articles
Copyright (c) 2021 Preetha Dulless
This work is licensed under a Creative Commons Attribution 4.0 International License.
