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
Wavelet transforms are set of mathematical functions that represent image as a sum of wavelet functions with different locations and scales. Wavelet transformations provide information in both frequency domain and spatial domain as well, standard de-facto images of varying sizes are subjected to two level decomposition using wavelet filter functions like Haar, Daubechies, Biorthogonal, Coiflets and Symlets etc. The transformed approximation and detail coefficients, typically infinite precision real numbers are then quantized such that the more important coefficients are represented with higher accuracy while those with less accuracy are neglected. In quantization input values are mapped to output values, based on particular threshold levels. The quantized coefficients are further coded in a bit stream using recursive splitting Huffman encoding. This study evaluates and compares the merits of selected Wavelet transform techniques for different filter functions graphically to discuss important features of wavelets in image compression. Objective fidelity metrics Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Compression Ratio (CR) obtained are shown graphically.
The present system of energy billing is error prone and also time and labor consuming. Errors get introduced at every stage of energy billing like errors with electro-mechanical meters, human errors while noting down the meter reading, and errors while processing the paid bills and the due bills. There are many cases where the bill is paid and then is shown as a due amount in the next bill. There is no proper way to know the consumer’s maximum demand, and usage details. The major drawback of a post paid system is that there is no control of usage from the consumer’s side. There is a lot of wastage of power due to the consumer’s lack of planning of electrical consumption in an efficient way. Since the supply of power is limited, as a responsible citizen, there is a need to utilize electricity in a better and efficient way. The distribution company has to receive huge amounts in the form of pending bills, which results in substantial revenue losses. The remedy for this drawback is prepaid energy meter means “pay first and then use”. A wireless billing system in which issue of energy in units (of several categories e.g. 50 units, 100 units and so on) is put for an option to the consumer. Once the consumer recharge its meter then normally they will be mindful of that quota of energy, and so they will consume it accordingly and economically as in the case of mobile. When the finish line is a certain units away, an alarm system will remind them of fresh recharging.
This paper presents an analysis of the fault tolerance achieved by an autonomous evolvable system. By using this method the system may self recover from both transient and cumulative faults. In this paper we present a new technique NSCLB for reconfiguring FPGA circuits. An example of 24 CLBs is tested and results show that it may properly recover more number of faults. The faulty CLB is replaced both structurally and functionally. By selecting the nearest spare the routing path is decreased. The method is implemented using VHDL language in Xilinx10.1 version.
This paper describes the novel approach of using a custom Field Programmable Gate Array (FPGA) board to generate digital arbitrary waveforms which is subsequently converted into analog waveforms via a high speed Digital-to-Analog Converter (DAC) IC. The FPGA codes are designed and optimized to generate very fast rise/fall times waveforms with the flexibility to vary both the pulse duration and pulse frequency in real time through a microcontroller with serial interface. These custom defined waveforms are then used to generate high intensity laser pulses when connected to a 1064nm fiber laser source. These pulsed laser sources have potential industrial applications in precision laser micromachining, where the high thermal intensity of the laser pulses can be used to perform ablation, cutting, drilling or annealing of processed materials. By able to tailor the shape of the delivered laser pulses, this will lead to reduction in processing time, improves the efficiency of material removal and the quality of the end product. Our custom board can generate arbitrary tailored pulses as short as 10ns and the longest pulse is 150ns. The pulse repetition rate can be tuned from 100kHz to 10MHz
A digital-domain gradient-ascent algorithm is presented to identify and maintain the peak power operating point of a photovoltaic (PV) source with variable I-V characteristics. The approach employs a low-level dither, realized by a one-bit, 64-sample pseudorandom noise (PN) sequence, to perturb the duty cycle of a boost converter that extracts energy from a PV source for battery charging. The digital-domain optimization process operates continuously in the background, and is robust against measurement noise, offset, jitter, and the inherent large-signal nonlinear dynamics of the boost converter. Acquiring a single sample in each switching cycle, i.e., no oversampling for the analog-to-digital converter (ADC), the digital processor consists of a few adders, flip-flops, and one multiplier, which, in conjunction with the ADC, can be integrated with the driver integrated circuit (IC) of the boost converter for very low cost. Simulation verifies the tracking effectiveness of the proposed technique, and demonstrates a stable operation in presence of large power-on and load transients, with an average output power of ≥ 98.5% of the peak value consistently achieved in steady state.