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118 articles for “Propagation-based”
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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A Brief Survey on Content-based Fake News Detection
Abstract: The increase in spread of fake news causes destruction of democracy and public confidence, which has boosted the demand for reliable fake news identification dramatically. Recent developments in this area have opened up innovative approaches for identifying fake news by looking at how it travels on social media. However, in order to spot false news early, one has no information about news distribution because at an early-stage, fake news can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 8–15 Read article
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Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
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Back-Propagation Neural Network Based Speaker Identification Under Noise Distortion
Abstract: The aim of this paper is to evaluate the performance of the proposed speaker identification system where Wiener filtering technique has been used to eliminate the background white Gaussian noises and linear discriminant analysis has been used to reduce the dimension of the speech features. Since the audio signal captures more environmental noises than other biometrics modalities, the main emphasis of this paper is to analyze the problem domains of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Faulty Object Detection by Image Processing Based on Modified Back-Propagation Algorithm of Artificial Neural Network
Abstract: The conventional algorithms such as canny edge detection require so much computation which makes it more time consuming. Hence it is not used for industrial applications such as damage detection because each product should be analyzed in a fraction of seconds so that the manufacturing rate of the industry should not be affected. Hence Artificial Neural Network can be used for edge detection. Though it requires a lot of time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 19–25 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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Monitoring the Structural Health of RC Beam Lap Splices using Wave Propagation and PZT Sensors
Abstract: This paper describes the use of piezoelectric sensors in a wave propagation-based Structural Health Monitoring (SHM) method to identify lap splices in steel reinforcing bars. Straight and lapped steel bars with lap lengths of 10° and 20° were used for the experiments. Lead Zirconate Titanate (PZT) transducers were employed, one of which served as an actuator to produce stress waves and the other as a sensor to record the signals …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 65–70 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Retina Recognition System Using Wavelet based Neural Network Algorithm
Abstract: This paper presents an approach of wavelet feature-based retina recognition system using back-propagation learning neural network algorithm. After acquiring the retinal image, at first vessels were segmented from the image. Then the feature extraction was carried out by analyzing the segmented retinal image using multiresolution analysis through the wavelet-based approach. Then extracted features were fed to the back-propagation learning neural network algorithm to create the learned template which was used …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 35–39 Read article
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Effects of Supply Voltage on 6T CNT Based Schmitt Trigger
Abstract: In this growing and developing age of technology, we are needed to improve our methods in order to get better results. So taking this into account, in electronic field, we want circuits with low propagation delay, leakage current and leakage power. So, we compared the model of Schmitt trigger using C-MOS (Complementary mosfet) and CNT (carbon nanotube) technology. We performed the variation in power supply (varied from 0.1to 1.2 V) …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 19–24 Read article
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Analysis of Signal Delay in Carbon Nano Tube based Interconnects at 32 nm Technology Node
Abstract: AbstractIn the present world demand for portable devices and high speed processor is rising which brings out a challenging issue of scaling for designers. In this paper, we have presented the effect of copper and CNT based interconnects for different length at 32 nm technology node. The performance of both types of interconnects are analyzed and compared in form of propagation delay. Propagation delay in interconnects between the elements is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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Simulation of Neural Network based PID Controller for Pressure Process
Abstract: This paper provides a Neural Network PID controller based on Back Propagation (BP) algorithm applied to pressure control in a tank. The controller has many advantages like that more convenient in parameter regulating, better robust. Neural network is to adjust the parameters of PID controller based on the operational status of the system, to achieve a better performance, making the output of the output neurons corresponding to the three adjustable …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 23–27 Read article
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Comparative Between (LiNbO3) and (LiTaO3) in Detecting Acoustics Microwaves Using Classification
Abstract: AbstractOur work is mainly about detecting acoustics microwaves in the type of BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3), during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, we have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary …
Published in Journal of Microwave Engineering and Technologies · Vol. 5, Issue 3, 2018 Read article
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Designing and Simulation of Novel 6T CNT Based Schmitt Trigger on 32 nm Regime
Abstract: With the advancement of technology, we are needed to make the circuits more efficient, and for this, less leakage current and leakage power circuits are needed. Taking this into account, a model of Schmitt trigger using C-MOS (complementary mosfet) and CNT (Carbon Nano Tube) has been compared. We have worked on C-MOS and CNT circuits by using H-SPICE software. As a result, it is found that leakage current and leakage …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 2, 2018 · pp. 1–4 Read article
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Mitigation of Mobile Radio Parasitic Radiation Effects: A Review
Abstract: ABSTRACT In this paper, mitigation techniques useful for improving mobile radio systems power efficiency and decreasing electro-smog and specific absorption rate (SAR) induction, affecting human head and body, are presented. An analysis of main radiation effects from far field base stations and review of mitigation techniques for enhancing the efficiency of power transmission for mobile radio systems is shown, followed by an investigation of the complex radiation field components from …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 1, 2012 · pp. 1–12 Read article
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Asymmetrical Light Propagation in 2D Photonic Crystal Structure
Abstract: In this work, using Plane Wave Expansion (PWE) and two-dimensional Finite Difference Time Domain (2D-FDTD) methods, we design a structure that shows the high asymmetry in propagation of light. Structure is based on two-dimensional Photonic Crystal (2D-PC) consisting of square lattice (39 X 39) of infinitely long circular rods of refractive index 2.9 in the background of refractive index 1. Radius of rods is 0.15a, where a is the lattice …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 69–74 Read article
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Performance Investigation on Boost Converter with Non-Isolated Coupled Inductor Using PSO-DFFP Controller with Stand-Alone PV System
Abstract: The stand-alone PV system with a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller based Boost converter is designed with coupled inductor has been simulated. The steady state / dynamic performance of the proposed system have been analyzed using MATLAB simulation. The proposed controller has been developed to decrease ripple and improve the efficiency of the system. However, the linear controllers are influenced by the system parameters of …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 32–49 Read article
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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article