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
Brain Computer Interfaces (BCI's) allow people to control computers and other devices by thought alone (Bogue, 2010). The technology is beginning to migrate from research laboratories to real world applications, which raises a number of design issues. The aim of this research was to identify existing and possible future applications of this new technology and explore design issues related to their development. The literature review revealed conflicting evidence surrounding the capabilities of low cost, consumer BCIs. Manufacturers of these systems suggest the technology can measure the concentration level of users whilst performing mental tasks. This study aimed to determine how accurate this measure of concentration is through a controlled experiment. In the trial, 14 participants completed a range of mental exercises which gradually increased in difficulty. During the tasks users wore a BCI headset, which measured their level of attention. Users were asked to assess the level of the concentration required to complete the task using a five point rating system. Data recorded by the headset was compared to the subjective measures and no significant correlations were found. This indicates such devices cannot currently be used to accurately measure the concentration. The report identifies limitations in the current technology, which may contribute to this inaccuracy and suggests that the increased contribution from designers may help overcome these limitations.
A new technique of phase to phase fault detection and faulty phase(s) identification of the series capacitor compensated six phase transmission line is proposed by the use of Wavelet Transform (WT) scheme. Furthermore, the wavelet norm based on the wavelet detail coefficients information on all the phases is used to detect the phase to phase faults. Six phase current signals are processed using wavelet transform, so that the produced norm by the high frequency detail coefficients of wavelet transform at level-1 is analyzed and a wavelet norm threshold is also proposed. Simulation studies are carried out in MATLAB, for various phases to phase faults, for numerous cases of fault parameters variation situations. The simulation results signify the appropriateness of the proposed technique and the flexibility of varying scheme circumstances.
In this paper, the authors illustrate the design of the exponential function based on the conventional and scale free hyperbolic Coordinate Rotation Digital Computer (CORDIC) algorithm which are used in applications of the neural networks Very Large Scale Integrated circuit design. The CORDIC algorithm is introduced to design the function of the neural networks. The design of exponential function based on conventional and scale free hyperbolic CORDIC processor is coded in VHSIC (Very High Speed Integrated Circuit) hardware description language and their simulation and synthesis results are present in this paper. The Xilinx 13.1 software is used for the simulation and synthesis of code design.
The acceptance of westernization has led to the adaptation of many new technologies effecting day to day life in positive and negative ways. One commonly seen addiction is the use of earphones. The earphones are electroacoustic transducers, which convert an electrical signal to a corresponding sound in the user's ear. Headphones are designed to allow a single user to listen to an audio source privately, in contrast to a loudspeaker, which emits sound into the open air, for anyone nearby to hear. Earphones are also known as ear speakers. These have many ill effects which would lead to deafness. This paper aims at resolving those problems using an alternate earphone, MUEAR.
With new developments in semiconductor technology, automation and control systems are booming. These sources have not only reduced the system size, but also allowed it to perform tasks that were impossible a few years back. Designing a DC-DC converter has always been a challenge, i.e, the way it should perform the conversion either unidirectional or bidirectional, compactness, power flow control, generation of a wide range of output levels, reduction in switching losses, etc. Among different DC-DC converters available, there is more scope for new topologies in multilevel converters. A unique multilevel converter that having striking features like high scalability, modular nature, internal fault cutback, regulation of voltage, and smaller space requirements is Modular Multilevel Converters (MMC). This paper sets an outline for studying Modular Multilevel Converters (MMC) to be applied and further developed for the wide range of applications. The later sections involve their fundamentals, modeling, control modulation, and some of the implemented applications.