Dr.J. SANTHOSH

Scopus Publications

PRIORITISATION OF SUSTAINABLE MAINTENANCE STRATEGIES FOR AN URBAN ROAD STRETCH IN COIMBATORE CITY

A study on perlite powder concrete subjected to elevated temperature
R. Manojsuburam, J. Cyril Santhosh, and E. Jayanthimani
AIP Publishing

Machine Learning and IoT-based Solid Waste Management: Revolutionizing Efficiency and Sustainability for a Clean Environment
D. Thayalnayaki, J. Santhosh, S. J. Princess Rosaline, P. Latha, V. A. Shanmugavelu, and Tamilmani A
IEEE
he research article titled “Machine Learning and IoT-Based Solid Waste Management: Revolutionizing Efficiency and Sustainability for a Clean Environment” explores a pioneering approach to urban waste management. This study leverages the synergy of Internet of Things (IoT) technology and machine learning to optimize the collection and disposal of solid waste. A network of sensors, including ultrasonic, infrared, and weight sensors, is strategically deployed to monitor waste bin fill levels in real-time. The sensor data is then processed by machine learning models, namely Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Random Forest (RF), to predict bin fill levels accurately. The results demonstrate exceptional predictive performance, with ANN achieving an accuracy rate of 98.3%, followed closely by LSTM at 95.5%, and RF at 93.55%. These models provide actionable insights into waste accumulation trends, enabling municipalities and waste management authorities to proactively plan collection schedules and allocate resources efficiently. Moreover, the system’s precision, recall, and F1 score metrics validate its effectiveness in identifying filled bins, reducing unnecessary collections, minimizing environmental impact, and optimizing operational costs.

Experimental Investigation on the Effect of Polypropylene Fibers with Respect to the Fatigue Behavior of Rigid Pavement
J. Cyril Santhosh, Satya Ranjan Samal, V. Navin Ganesh, Darla Pavani, and R. Sathyanarayan Sridhar
Springer Singapore

An experimental performance evaluation of Flex Banner and polypropylene fibre reinforced bituminous mixes
K. Vishnuvardhan, R. Rajkumar, V. Navin Ganesh, and J. Cyril Santhosh
Elsevier BV

Assessment of various agitation speeds for Co digestion process
Santhosh. J*, , Jayanthi. R, and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
In the present day context of environmental pollution, the continuous generation of organic wastes and its improper management has been playing a vital role. Current global Municipal Solid Wastes (MSW) generation levels are approximately 1.3 billion tonnes per year and are expected to increase to approximately 2.2 billion tonnes per year by 2025. These wastes have to be properly treated and should be safely disposed. Among the various processing technologies, the anaerobic digestion technology in the form of Co digestion process is the most valuable approach in the waste management sector as it provides a bio fuel and organic rich manure to the society. It requires a good operation technique like mixing in order to maintain the stability of the digester for biogas production. An attempt has been made by utilizing different types of wastes in a lab scale reactor for co digestion process with mixing technique. Kitchen wastes, Poultry Litter and slaughterhouse wastes were used as substrates and fresh cow dung as inoculum. Three Organic Loading rates of 2.5 g VS l/day, 2.68 g VS l/day and 2.83g VS l/day were taken with the hydraulic retention time of 35 days. The mixing was performed through the mixer at various speeds of 30 rpm, 45 rpm, 60rpm and 100 rpm during the co digestion process. When compared to other agitation speeds like 30rpm, 60 rpm and 100rpm, 45 rpm agitation speed performed its digestion upto 80th day with the minimum gas production of 0.1 l/day. The stability of the digester also maintained well with the VFA/Alkalinity ratio of 0.17 on the day of maximum yield and 0.12 at the end of digestion period. The percentage of Total Solids reduction and Volatile solids reduction for 45rpm agitation speed was 51.04% and 55.49% respectively. Hence, the agitation speed of 45rpm had been chosen as the optimum speed for lab scale co digestion process.

Performance evaluation of paper mill effluent in a granular bed hybrid up-flow anaerobic sludge blanket (HUASB) reactor

Evaluation of co digestion process of kitchen Waste, Slaughter House waste and poultry litter in a lab scale anaerobic digester

Dr.J. SANTHOSH

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