Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 5 | Issue - 2 | june 2023
Published
26 May, 2023
Environmental safety management has recently been the most difficult task in this rapidly urbanising country. Wastewater management is a method of treating waste that can be reused rather than thrown away. One of the most efficient ways to handle garbage is to reduce and recycle. For decades, wastewater treatment companies have been dealing with a plethora of difficulties centred on how to avoid trash being managed. Separating wastes thrown in water, such as paints and battery wastes, is difficult since they require a unique classification and recycling procedure. In Telangana, the waste developed from dairy industry requires to be treated properly for reuse of same due to scarcity of water. So, the Internet of Things (IoT) for a waste management solution is considered here to address the above concerns.. Hence, the proposed method focusses on an IoT based wastewater treatment and monitoring for smooth operation and reuse. During implementation, it was concluded with confirmation that the proposed system has high accuracy in the range of 96% as compared to other existing models.
KeywordsIoT Wastewater Dairy Industry Recycle
Full Article PDF