Auto Encoders based Neural Networks to Predict Faultiness of VLSI Circuits
Smart Electrical Vehicle
Development of Smart Electronic System to Implement Smart Home
Multilingual Speaker Identification System through Multiple Features Analysis of Speech Signal in Multilingual Environment
Photographing a Black Hole
Development of an Intelligent Battery Charging System Based on PIC16F877A Microcontroller
Blockchain 3.0: Towards a Secure Ballotcoin Democracy through a Digitized Public Ledger in Developing Countries
Brief Introduction to Modular Multilevel Converters and Relative Concepts and Functionalities
Fetal ECG Extraction from Maternal ECG using MATLAB
Detection of Phase to Phase Faults and Identification of Faulty Phases in Series Capacitor Compensated Six Phase Transmission Line using the Norm of Wavelet Transform
A Novel Approach to Reduce Deafness in Classical Earphones: MUEAR
A novel mathematical ECG signal analysis approach for features extraction using LabVIEW
Filtering of ECG Signal Using Adaptive and Non Adaptive Filters
Application of Polynomial Approximation Techniques for Smoothing ECG Signals
A Novel Approach to Improve the Wind Profiler Doppler Spectra Using Wavelets
Wearable Health Monitoring Smart Gloves
Coal mining is the process of extraction of coal. For this, the workers have to work in various dangerous conditions in the coal mine. Historically, coal mining has been a dangerous activity and the list of mining accidents is long one. A single, small accident can cause the death of the mine worker/workers. So, it is important to have a warning system. This research work deals with plan and expansion of a LabVIEW and microcontroller based monitoring system. In this project, a device used for continuous monitoring of the worker in coal mines is designed. In previous research work, the focus was on monitoring the environmental conditions of coal mines by using environmental sensors like gas sensor, humidity sensor , etc. But different person respond to the same environmental condition in different way. Therefore, the main focus of this study is to monitor the worker who has to deal with the abnormal conditions of coal mines. The research team used ECG sensor (AD8232) to note the electrical behaviour of heart. The device can monitor the heart rate, analyse the health condition of workers using LabVIEW software. The analysed data can be continuously monitored by the concerned authority in the control room. In case the worker is suffocating (in case of abnormal mining environment) then immediately a web page pop up. Labview continuously compares the sensed value with the predefined critical safety values and then gives the alert indication signal accordingly to the heartbeat rate of the worker.
The Efficient highway system here refers to upgraded version of the current Highway Management System. This paper presents a smart system model which is self-dependent, self-sustainable and can operate without any human intervention. The presented system is combination of four sub-systems. The aim of the first subsystem is to detect and compare the traffic density at traffic squares to maintain the continuous and smooth flow of traffic which solves the problem of current scenario due to predefined timer system. The second subsystem uses IR sensors and a night detector to manipulate street light when not required hence reduces the wastage of energy. Both above subsystems are controlled with the single Microcontroller. The third subsystem which contains charging points installing underneath the roads such that they can be charged wirelessly any time which overcome the drawback of electric vehicle to travel long time. The aim of fourth subsystem is to generate clean and green energy using speed bumps as a concept of Road Power Generation and solar panels which makes the system self-sustainability.
As per the survey conducted by UNICEF in 2018, more than 6 lakh neonatal deaths occur in India which makes India to stand in the worst rank of 12 among 52 developing or undeveloped countries. Also, every day an average of 7,000 neonatal deaths occur worldwide. A new born baby can survive outside of the mother's womb with the help of baby incubator, provided the required environment to be maintained by incubator for premature baby to sustain. But in recent time, improper incubator design, short circuit in incubator, gas leakage inside the incubator has caused accidental deaths of premature babies. This paper deals with the low cost neonatal incubator system that monitors neonatal vital parameters like pulse rate, body temperature and incubator parameters like moisture, oxygen percentage and light intensity. These parameters are monitored and moisture, oxygen percentage and light intensity are controlled with proposed incubator. These parameters are also sent to the hospital staff through IoT (Internet of Things), so that immediate action can be initiated to take proper care of neonatal that ensures safety to the neonatal (infant's) life by maintaining incubator parameters as required. In this paper in addition to these, one more important feature is included that is phototherapy to treat jaundice in new born.
Forward error correction enables reliable one- way communication over noisy channels, by transmitting redundant data along with the message in order to detect and resolve errors at the receiver. Low-density parity-check (LDPC) codes achieve superior error-correction performance on Gaussian channels, however, their complex parity-check matrix structure introduces hardware implementation challenges. Quasi-cyclic (QC) low-density parity-check (LDPC) codes form an important subclass of LDPC codes. The encoding of these codes is traditionally done by multiplying the message vector with a generator matrix consisting of dense circulant submatrices. To reduce the encoder complexity a new scheme is introduced by making use of finite fourier transform .Making use of conjugacy constraints, low complexity architectures are developed for finite fourier and inverse transforms over subfields. In addition composite field arithmetic is exploited to eliminate the computations associated with message mapping and to reduce the complexity of Fourier transform. Since the proposed encoder has much improvement in power consumption and reduction in area than the conventional encoders, it is considered to be an efficient QC-LDPC encoder.
In this paper the design and analysis of all optical half adder based on two dimensional photonic crystals is presented. A half adder is a type of adder, an electronic circuit that performs the addition of numbers. The half adder is able to add two single binary digits and provide the output plus a carry value. The proposed structure uses a hexagonal lattice with the point defect based structure. The structural design is small in size and it is compact in nature. These structural analysis of half adder mainly satisfies the logic function as A=1, B=0, A=0, B=1, A=1, B=1. The functional parameters of half adder such as normalized efficiency, bit rate, contrast ratio and the maximum delay time are calculated. The main application of half adder is to compute binary addition operation on two bits in integrated circuits.
The recent decade has experienced revolution of smart technology with the introduction of smartphones and electronic equipments in day to day life as an important part of life. IoT (Internet of Things) can be defined as human connecting object like sensors, internet TVs, smartphones and actuators with the internet where electronic devices are linked together intelligently enabling new shell of communication between people and electronic devices, and between devices themselves. IoT is presented with the overview to begin the idea of a smart home with its security and the necessity of software and hardware components for making a smart home.