Voice Controlled Wheelchair with Collision Avoidance
A Comparative Analysis of Neural Network Function: Resilient Back Propagation Algorithm (BPA) and Radial Basis Functions (RBF) in Multilingual Environment
Design and Implementation of Systolic Architecture Based FIR FilterDesign and Implementation of Systolic Architecture Based FIR Filter
Noise Detection and Suppression in ECG using Adaptive Filter Algorithm
Real-Time Object Detector for the Visually Impaired with Voice Feedback using OpenCV
Blockchain 3.0: Towards a Secure Ballotcoin Democracy through a Digitized Public Ledger in Developing Countries
Fetal ECG Extraction from Maternal ECG using MATLAB
Brief Introduction to Modular Multilevel Converters and Relative Concepts and Functionalities
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
An error in data communication is very common and it cannot be avoided. The error is of two types, such as single bit and burst error, which is depends upon noise present in the path via the data, is transferred. There are various method used for the detection of this error, and this is done on the basis of even or odd parity. In this paper, a hamming code technique is used to detect and correct the single bit error. An extra bit is sent to receive along with the original data known as a parity bit, this is also done on the basis of even or odd parity. This extra bit will enhance the security of the data being transferred.
Dynamic Stability Analysis of a Connected Wind and Photovoltaic Micro Grid System is proposed in this research work using the Voltage Source Converter (VSC) and the Fuzzy Control VSI (Voltage Source Inverter) integrated into an electrical grid. The wind farm consist of a Permanent Magnet Synchronous Generator (PMSG) powered by a wind turbine. The power outputs of PMSG and the photovoltaic system are fed to a common DC link from a Voltage -Source Converter (VSC) and DC-DC boost converter together with a supercapacitor, to soften the generated energy delivered to the micro-grid. This work proposes a control scheme with a fuzzy logic structure to achieve the stability of the proposed system while obtaining maximum power extractions for the wind and the photovoltaic system. Along with these, renewable sources such as the battery and fuel cell are also integrated into DC link where the actions are observed. The analysis and total design is done in the MATLAB software with graphic representations of dynamic performance.
Real time traffic light detection system is an important application of intelligent transportation system. In different driving environment, traffic light is regarded as a difficult one for various illuminations due to the distance measurements. Adaptive Background Suppresion Filter (AdaBSF) is used for background suppression of the images. In this proposed work, the authors include HSI image conversion and HOG feature extraction methods along with the conventional AdaBSF algorithm. Linear cascaded SVM is used for the classification of SVM based image. The enhanced method has been finally considered to be better for finding the traffic light even under strong sunlight, cloudy seasons, and during night times. The authors have performed traffic light detection in real time and they consider that this technique is efficient than other conventional traffic light detection systems.
The fusion expression means to extract a sequence which is acquired in several domains. The three-dimensional (3D) images have the deep information, which is not available in the conventional 2D images. The image fusion procedure of two images aim to get a more in-depth examination of the picture. 3D Fusion of medical images are found to be useful that they are medical images containing the data with significant scientific information for doctors during their analysis. The objective of this work is to examine the subsections of the obtained 3D structure along three axes. The paper deals with the DICOM (Digital Imaging and Communication in Medicine) images restoration, which is initially extremely useful for production of customized data that are atomically implemented by using a fast prototyping technology. MRI Images provide better contrast of soft tissues than CT images. Hence it provides better results in image fusion of MRI and CT images is done by using Wavelet Transforms in MATLAB. The researchers are forever focusing on biomedical 3D imaging configuration. The image slices of the involved region in the modified image in DICOM format are preprocessed first using developed a Matlab code, which is an open source medical software used to reconstruct structures of the human body based on three-dimensional images which are acquired using CT or MRI images. The proposed algorithm FBIAMV (Fusion Based Integrated Advance Magnetic Visualization) of MRI 3D images generates the three-dimensional models equivalent to different parts of the human body. The proposed multiform method help doctors and other clinicians in diagnosis of diseases leading to a better treatment.
The analysis of the MST Radar Data has become more predominant in the present world. A major research on MST Radar Data was going on in NARL, Gadanki, which provides the data regarding the atmospheric movements. In order to obtain the information on the wind parameters, the signals collected from the radar are analyzed, which mainly involves the estimation of power spectrum. Analysis of the MST Radar Data involves the estimation of the Signal to Noise Ratio (SNR) of the Doppler profiles, Wind Profiles and Parameters, Temperature Profiles, etc. In NARL, the weather data or the Meteor data was collected and the data was converted into raw format. This raw data was used for processing either in time domain or frequency domain. Many techniques have been employed for processing the MST Radar data, which shows better results when compared to the GPS Data (Data Processed in NARL). This paper mainly gives survey of papers in which various methods are used for the analysis of the MST Radar data.