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
Underwater robots are used in surveillance, academic and military applications because of their capability to execute risky tasks underwater without human intervention. In this work, a robot is built at a low cost to carry out inspection at specified depth in a water body, controlled using IoT (Internet of Things) based technology. The main drawback with the currently developed Unmanned Underwater Vehicle’s(UUV’s) are that they are controlled using cables, which is a problem for underwater surveillance due to their additional weight and possible harm with the water animals. But with the help of this work, IoT technology can be used to control the robot wirelessly under deep waters which increases the credibility of this work. With the use of Raspberry-Pi 3 Model B+ the robot can be connected to a smartphone or a laptop and will be controlled with ease. The Raspberry-Pi 3 Model B+ can be programmed using python programming language and different instructions can be given to the UUV. In this work DC motors are interfaced with Raspberry-Pi. These motors are controlled using a smartphone or a laptop and depending upon the instruction given, these motors operate. A Raspberry-Pi camera module is placed at the front which is interfaced directly with Raspberry-Pi and is programmed for getting live video streaming. Focus lights are also placed for attaining better quality of video under the water.
In this paper we propose to implement an intelligent health monitoring system that includes a home automation system based on IoT. This paper correlates the usage of embedded systems and Internet of Things in a productive manner. Initially a microcontroller is interfaced with necessary sensors to collect the physiological data from the patient and transfer to the database. The home automation system is incorporated to help the patient to have a better sophistication at home/hospital without any human assistance. Based on the reference values the physiological data obtained are verified and accordingly an alert message is sent to the medical assistant as well as concerned person to provide a immediate aid to the patient. The existing method for patient health monitoring has processing delay in transmission and reception of data. In our model, the delay is minimized and thus the patient can also be monitored across countries without any interruption. The experimental results in this paper show the output against various medical emergencies. Thus by using this device a better patient assistance system is provided.
Diabetes is one of the life-threatening diseases in the world. Nowadays, diabetes patients are increasing due to improper monitoring of blood glucose level. The diabetes infected patients have to check the amount of glucose level present in the body using an invasive method. By using this method, they have to take a drop of blood from the body and check the amount of glucose level, by which they can inject the required amount of insulin into the body. To overcome the difficulties caused by invasive method, in this prototype a non-invasive methodology is used. The main objective of this work is to design a portable non-invasive blood glucose level monitoring device using Near Infrared (NIR) sensors. The device includes Infrared LED, Photodiode, and Arduino MEGA 2560 microcontroller. Besides being able to detect glucose concentration in blood, the device also displays the required insulin dose based on glucose level corresponding to the Body Mass Index (BMI) of the user. In this paper, NIR spectroscopy is used to achieve bloodless monitoring of glucose level from a diabetic patient and also extracts insulin mechanism based on the data provided by the processor/controller.
One of the major energy required in today’s life is electricity. The demand and supply of electricity is at misbalanced. There are many renewable resources such as wind energy, solar energy, nuclear energy etc. The problem of demand and supply can be overcome by using wind energy present in highway by moving vehicles and also Nowadays, traffic is big issue particular in highways at junctions. The motivation of the project is to contribute one of the methods of generating electricity using wind energy which is generated by the moving vehicles on highways and ensuring smart control of the traffic at junction or network with the current and expected arrivals of traffic. This project deals with stand-alone system, energy reusing, low cost and real time controlling system. This system consists of two parts: a) Electric power generation b) Smart traffic control. In electric power generation, Vertical axis wind turbine is placed on the medians therefore wind flow from both sides of the highway will be considered. Using all the collected data, existing streetlight poles on the medians can be mounted with these wind turbines. Since the wind source will fluctuate and hence an additional source of solar energy is used. A storage system for power generated will be designed to distribute and maintain a constant source of power for streetlights and traffic signals. For Smart traffic control system, the dynamic delay logic implemented with respect to traffic density. IR sensors which are mounted on either side of the road will monitor the traffic density and the sensed output is given to microcontroller (W78E054D). A Bluetooth controller app is used for priority exit of emergency vehicles. Thus, depending on the density of traffic the dynamic delay of the traffic lights are appropriately set. From solar panel we are getting power of about 5.2 watts and from wind turbines we are getting about 1.5 Watts of power. Therefore, the total power obtained is around 6.7 Watts. The main aim of our project was to develop and implement Highway electric power generation using wind turbines for smart traffic light control system and also provide priority for emergency vehicles such as ambulance.
For fuel management of the engine and throttle valve opening, throttle position sensor plays the vital role. The traditional method for testing of such sensors at various angle and observe its effects was done manually. To overcome this method, the idea is to develop a system which is fully digital and controlled automatically. The aim of the system is to provide controlling system which includes sensing and identifying fault input signals from the throttle position sensor assembly sensors. Also a system is implemented for calibrating an engine throttle position sensor operation of a system. This system will not only will improve the performance characteristics but also will be a time efficient system.
Among the emerging technologies recently proposed as alternatives to the classic CMOS, Quantum-dot cellular automata (QCA) is one of the most promising solutions to design ultra-low power and very high speed digital circuits. Efficient QCA-based implementations have been demonstrated for several binary and decimal arithmetic circuits, but significant improvements are still possible if the logic gates inherently available within the QCA technology are smartly exploited. Signal Distribution Network (SDN) is one of the effective methods for the design of combinational and sequential circuits in quantum dot cellular automata. It overcomes the fabrication errors and thermal effects which occurred in wire crossings. The main objective is to increase the speed of digital circuits in QCA with the help of SDN. The main goal of this work is to reduce the hardware requirements of the digital logic circuits by using majority gate logic. The cell count and area can be reduced by logic synthesis. The main feature of SDN is it uses 4N-2 clock states for N number of inputs that is for the design of SDN and number of clock cycles required for the combinational circuit depends upon the number of stages. The design of 2 to 4 line decoder,4*1 Multiplexer 1*4 demultiplexer for QCA . Designed circuits are simulated by using QCA designer V2.0.3 software and calculated the delay of each circuit designed and the area occupied by the designed circuit.
