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
In the proposed work, two-layer visual saliency analysis model and Support Vector Machines (SVMs) are used for Airport detection and Aircraft Recognition. In the First Layer Saliency (FLS) model, a spatial-frequency visual saliency analysis algorithm has been introduced that is based on a CIE Lab color space to reduce the interference of backgrounds and efficiently detect well-defined airport regions in broad-area remote-sensing images. In the second layer saliency model, a saliency analysis strategy is proposed that is based on an edge feature preserving wavelet transform and highfrequency wavelet coefficient reconstruction to complete the pre- extraction of aircraft candidates from airport regions that are detected by the FLS and as many aircraft candidates are crudely extracted as possible for additional classification in detected airport regions. Then, feature descriptors are utilized based on a dense SIFT and Hu moment to accurately describe these features of the aircraft candidates. Finally, these object features are inputted to the SVM, and the aircrafts are recognized. The experimental results indicate that the proposed method not only reliably and effectively detects targets in high-resolution broad-area remote- sensing images, but also produces more robust results in complex scenes.
In this paper, Y shaped 2x1 encoder design is based on two dimensional photonic crystals and this encoder design is constructed by point and line defects of photonic crystal which is providing high contrast ratio and reduced power loss for the proposed design. The performances field distributions are analyzed finite difference time domain and the band structures are evaluated using the plane wave expansion method. The proposed 2x1 encoder operated at 1520 nm provides contrast ratio of 28 dB, response time of 3.9 ps, and bit rate of around 0.25 Tbps. So, it is suitable for photonic integrated circuits.
This paper presents the design and implementation of Modified Booths encoding algorithm with enhanced speed. Multiplication is the most commonly used operation in every step of arithmetic. The speed of multiplier determines the speed of processor. So, there is a need for high speed multiplier. Adders play a dominant role in arithmetic addition of partial products. Increase in the speed of any arithmetic operation results in the increase of speed of overall operation of multiplier. So the main focus in this paper is to increase the speed of adder in turn increasing the speed of multiplication process. An algorithm is proposed using Modified Booths algorithm, Wallace tree structure, and Kogge-Stone adder design. MBE reduces the number of partial products and has least latency compared to other multiplier algorithms. Wallace tree structure increases the speed of accumulation of partial products. A Kogge-Stone adder design is used in the multiplier design, which yields to reduced delay and area. The proposed Modified Booth Multiplier design shows better performance compared to that of the conventional method using Kogge-Stone Adder and has advantages of reduced area overhead and critical path delay. The proposed design has been synthesized using Xilinx ISE 14.2 design tool using Verilog HDL.
Pulse compression is a signal processing technique mainly used to increase the range resolution and detection capabilities of the Radar. This paper presents a novel technique for the 'reduction of the side-lobes in the Pulse Compression (PC)' for the Radar systems. This Pulse Compression increases the range resolution and signal to noise ratio. In this paper, the polyphase codes have been considered because it has low side lobes and are better Doppler tolerant and better tolerant to pre-compression band limiting. The peak sidelobe ratio and signal noise reduction loss are computed using P4 polyphase codes. This result is compared with various weighting techniques applied on the output of Woo filter in order to suppress the sidelobes. This proposed PC technique is implemented by shifting the input P4 polyphase codes and multiplied with reference signal. This technique produces certain improvement in Peak Sidelobe Ratio and Signal Noise Reduction Loss (SNR Loss).
Over the past few years, so many new solutions are gaining popularity in the software industry. All these solutions require a fast and parallel data manipulation. An attempt has been made to design median filter with high throughput and good latency to suppress the impulse based noise on real time signal and image processing applications. It is partially affected by the median filter and its bias of the input stream is directly above the average of mathematical analysis. An efficient VLSI suitable hardware implementation of a median filter is presented, that uses compare and exchange unit. The proposed hardware structure reduces the hardware requirements and has a faster processing speed, when compared with some other existing techniques. The input numbers or streams are used to construct an algorithm. By using this algorithm, the median number can be found out. The proposed technique can be implemented with perfect shuffle interconnects between active stages of compare and exchange elements. In this paper, all the designs are synthesized and created using MAX PLUS- II from ALTERA with fmax = 486.38 MHz.
One of the major problems faced by people in their daily life is traffic. An efficient management system is required to provide efficient traffic control system. Identification of particular vehicle in the traffic flow is a notable task in the traffic management system. In this research work, the authors propose an automatic traffic management system for vehicle detection and counting and automatic signals Scheduling. The camera supplies video input to the processing engine. Initially, the video will be streaming on all four roads of the traffic circle. The values will be read frame by frame in the streaming video of these roads. Camera sends all the captured input images to the processing engine and this works based on the neural network. The traffic flow shows the traffic state in fixed time interval and helps to manage and control the traffic, especially when there is a heavy traffic and will consider emergency vehicles like ambulance and fire brigades, giving them priority to go.