WSN based Temperature Monitoring System for Multiple Locations in Industry IJTSRD
Wireless sensor network technology has demonstrated a great potential for industrial, commercial, and consumer applications. Speci cally, in process monitoring and control, process data such as pressure, humidity, temperature, ow, level, viscosity, density and vibration intensity measurements can be collected through sensing units and transferred wirelessly to a control system for operation and management. Adopting […]
Transformer Parameter Monitoring and Controlling IJTSRD
Distribution transformer is one of the most important equipment in power network. Because of, the large amount of transformer distributed over a wide area in power electric systems,the data acquisition and condition monitoring is important issue. The main purpose of this system is distribution transformer monitoring and controlling through IOT. Also, it sends SMS to […]
Application OF IoT in Military Service IJTSRD
Internet of Things (IoT) links the objects of the real world to the virtual world, and enables anytime, anywhere connectivity for anything that has an ON and OFF switch. It constitutes to a world where physical objects and living beings, as well as virtual data and environments, interact with each other. Large amount of data […]
Successive Security Challenges Implementation on Internet of Things IJTSRD
This Paper demonstrates commonly used communication scheme and information retrieval which are carried out via Internet using numerous types of smart devices, can turn the Internet into a very dangerous platform because of its built-in nature of making its users’ identity easily traceable and discusses some countermeasures that can be used to prevent existing and […]
Intelligent Agriculture Mechanism using Internet of Things and Image Processing IJTSRD
This project presents a novel idea of detection and classification of leaf diseases and soil Moisture Level. It is difficult for human eyes to identify the exact type of leaf disease which occurs on the leaf of plant. Thus, in order to identify the leaf diseases accurately, the use of image processing and machine learning […]