Innovations in Biomedical Engineering: Advancing Healthcare Devices on Recent Technology
Flood Detection and Monitoring using Arduino Based Sensor Technology
Automatic Lower Limb Rehabilitation Device
Heart Rate Variability-Based Detection of Driver Drowsiness and its Validation using EEG
IoT-Enabled Smart Shoes for the Blind
Biosensors for Early Diagnosis and Automated Drug Delivery in Pancreatic Cancer
Verilog Based UART System Design
Intel ® Processor Architectural and Integrated Development Environment Exploration
IoT based Smart Agriculture Monitoring Framework with Automation
An Integrated Model of Digital Fuel Indicator and GPS Tracking System for Vehicles
Designing of an Embedded system for Wireless Sensor Network for Hazardous Gas leakage control for industrial Application
Hardware Implementation of Artificial Neural Networks
Fault Analysis on Grid Connected MPPT BasedPhotovoltaic System
High Efficiency Hybrid Intelligent Street Lighting Using A Zigbee Network And Sensors
Design of Dual-Band Bandpass Filter Using Interdigital Embedded Open Loop Triangular Resonator Loaded with Stubs
License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method
As non-renewable energy sources become scarcer, renewable energy sources are increasingly used to generate electricity. Non-renewable resources are limited and constantly depleted. The use of renewable resources such as solar energy is gaining momentum. The sunlight falling on the solar panel gets converted into electricity. A static solar panel cannot get even exposure to sunlight all the time and all the seasons. The goal of this work is to develop a dual-axis suntracking solar panel. The concept behind the work is to keep the photovoltaic modules to constantly orient themselves towards sunlight, maximizing solar radiation on solar panels. The idea behind the paper is to orient the photovoltaic modules constantly towards sunlight, maximizing the solar radiation on the solar panels with the objective of maximizing the power output. This work included the design and implementation of hardware, as well as the development of software for the microcontroller unit of the solar tracker. An ATmega328P microcontroller was used to control the movements of two servo motors that rotated the solar panels 360 degrees. The microprocessor calculated the amount of rotation based on data collected from four photo sensors near the solar panel.
Malaria is a deadly disease caused by parasites of the genus Plasmodium, spread by mosquitoes, mostly in tropical and subtropical regions.
The modern world is facing critical issues such as water, energy, health, wasteland and climate change, and most importantly, food for all. In arid lands, the challenges are in securing local sources of food and water. The aim of this paper is to contribute to mitigating these problems by demonstrating a system that integrates food production using aquaponics with desalination to produce drinking water, renewable energy to generate electricity and power the system, recycling food waste as a raw material and fertilizers, tiered flowerbeds to reduce land use and automation to ensure an adaptive and sustainable process and contribute to the health of the community by promoting the production of high quality locally produced organic products. In this proposed solution, the system has sensors to monitor the temperature, humidity, and water levels in the different components of the aquaponics system. It has pumps, solenoid valves, and servomotors as actuators. The renewable energy system is an off-grid solar PV system with battery that powers a microcontroller and data logger with connections to the sensors and actuators.
Industries always highlight the need to choose the tools that provide accurate and precise measurement of data in a way that is best suited to their product. Electronics industry as well, demands the same, as the electrical and electronic components are becoming more and more complex. There is a growing need of sophisticated instrumentation to ensure the precise measurement of physical quantities to meet the quality control processes. The physical quantities such as force, pressure, weight, strain, etc., are vital across the broad range of industries. To meet this objective, an embedded system based on the AT89S52 microcontroller was designed and developed. The displacement transducer LVDT is interfaced to the microcontroller. The signal conditioning stage involves operational amplifier 741. The firmware for the present system is developed in embedded C using Keil μ Vision 4 IDE.
Robots with remote access have the ability to perform tasks that are otherwise hazardous for human life. This project aims to develop an electrical pole climbing robot, which can help to reduce the risk of on electrician while carrying out maintenance activity on distribution lines. The robot will be monitored by IP camera with live access to control the movements. This robot is an improved model, which work on the principle of the linear motor and partially autonomous. This robot uses web camera for transmitting the visual assistance by the operator and has an on-board IoT device for semi-autonomous function, which includes ATmega32 Microcontroller, and Wi-Fi Module-(ESP8266).This paper also suggested some alterations to the pole climbing robot, which can be used for surveillance in the forests, wind mill climbers and wall climbers. The paper also presents the simulation results of the pole climbing robot.
