Zobrazeno 1 - 7
of 7
pro vyhledávání: '"C. Rajashekar Reddy"'
Autor:
Ayu Parmar, Spanddhana Sara, Ayush Kumar Dwivedi, C. Rajashekar Reddy, Ishan Patwardhan, Sai Dinesh Bijjam, Sachin Chaudhari, K. S. Rajan, Kavita Vemuri
Publikováno v:
Frontiers in the Internet of Things, Vol 3 (2024)
Particulate matter (PM) is considered the primary contributor to air pollution and has severe implications for general health. PM concentration has high spatial variability and thus needs to be monitored locally. Traditional PM monitoring setups are
Externí odkaz:
https://doaj.org/article/decc5897163a47679079ef36c874657c
Autor:
Spanddhana Sara, Andrew Rebeiro-Hargrave, Ayu Parmar, Pak Lun Fung, Ishan Patwardhan, Samu Varjonen, C. Rajashekar Reddy, Sachin Chaudhari, Sasu Tarkoma
Publikováno v:
IEEE Access, Vol 11, Pp 79624-79635 (2023)
Carbon monoxide (CO) and Nitrogen dioxide (NO2) are major air pollutants that have the potential to affect human health adversely. There is a lack of useful information regarding the spatial distribution and temporal variability of CO and NO2 emissio
Externí odkaz:
https://doaj.org/article/ff6108b8e661456694843c3fbf434d76
Autor:
C. Rajashekar Reddy, Sachin Chaudhari
Publikováno v:
FiCloud
For understanding an environmental variable in a given geographical space, finding the optimal number of nodes is a tedious task. For this purpose, a framework is proposed in this paper based on hierarchical agglomerative clustering along with geogra
Publikováno v:
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).
Publikováno v:
WF-IoT
In most IoT-based monitoring applications, the data can vary at a slow rate but the variability pattern may not always be same. For example, the patterns of particulate matter (PM), one of the most dominant air pollutants, often change seasonally ove
Autor:
C. Rajashekar Reddy, Kavita Vemuri, Sachin Chaudhari, K. S. Rajan, T. Mukku, Ayush Kumar Dwivedi, Aftab M. Hussain, A. Rout
Publikováno v:
PIMRC
Current air pollution monitoring systems are bulky and expensive resulting in a very sparse deployment. In addition, the data from these monitoring stations may not be easily accessible. This paper focuses on studying the dense deployment based air p
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