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797 articles for “Edges”
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Computational Investigation of Drag Reduction by means of Two-Dimensional Roughness Element on the Suction Surface of an Airfoil
Abstract: Computational investigation carried out to the effects of a two-dimensional roughness element placed on the suction surface of a zero camber airfoil of 1 m chord on its performance is presented. The roughness element was placed on suction surface of the airfoil at a distance of 30% from the leading edge of the airfoil. The roughness element was in the form of a wire. The diameter of the wire was …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 3, 2022 · pp. 12–26 Read article
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A Comprehensive Study of Special Forces Defense Gloves for Combat Applications
Abstract: The objective of the endeavor is to improve personal defense features by creating and utilizing a multipurpose glove. This glove gives users a complete defensive system by combining a number of cutting-edge technologies. First of all, the glove has an electric shock mechanism that allows the wearer to stun would-be attackers without slaying them. This characteristic can help in self-defense scenarios and acts as a deterrent. Furthermore, the glove has …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 6–11 Read article
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The Emergence of REM Detection Algorithm
Abstract: The objective is to use these EEG features for developing a simple algorithm capable ofdetecting REM stage epochs. Both these objectives ultimately aid the development of a sleepstaging algorithm that could be used as part of a truly wearable sleep system. Spectral edgefrequency (SEF) is the frequency below which a certain fraction of the signal powerKeywords: EEG, EEG channel, REM, Spectral edge frequency, SEFd, signal
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 43–49 Read article
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Suitability of Additive Manufacturing Process in Optical Lens Production
Abstract: Additive Manufacturing is one of the non-conventional methods of manufacturing that is gaining immense popularity for its ease to manufacture customized parts. The lenses have always been manufactured using a continuous process of Blanking, Surface generation, Edging and Centering, Grinding, Polishing, and Coating. But the conventional processes demand large inventories and more time. Customization of lenses may also be possible if a process like Additive Manufacturing is implemented. Also, the …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 39–46 Read article
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An Augmented Reality-based Application
Abstract: Abstract: This paper is the art of applying 3D design and to implement the computer-generated 3D environment to our real- world environment using the latest augmented reality (AR) technology for entertainment or for educational or experimental purposes. Through this project we want to design and build an application and a game which helps to augment the computer-simulated environment into our real-world and which is a very latest and fastest growing …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 14–39 Read article
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Design of Ultra Wideband Square Aperture Shaped Microstrip (ASM) Antenna
Abstract: AbstractA compact coplanar waveguide-fed (CPW) microstrip antenna for ultra-wideband (UWB) wireless communication is presented. The antenna comprises a square aperture (24 mm × 24 mm) etched on the ground-plane of a printed circuit board and a modified rectangular shaped stub, also total size of the antenna is 30 mm × 30 mm. The lower edge of the band is attained by properly decoupling the resonant frequencies due to proper selection …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 15–19 Read article
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Optimized Performance Characteristics of a 450 nm Semiconductor Laser by Varying Differential Gain
Abstract: AbstractIn this work, the effects on the performance characteristics of a true-blue 3QW separate confinement heterostrcture edge-emitting laser are presented by varying differential gain. At the temperature of 300 K, the threshold current of the laser is . The peak material gain for the designed laser is obtained as and further used for the analysis of the performance characteristics of the designed double-heterostructure laser for the variation of differential gain. …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 3, 2013 · pp. 26–35 Read article
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Digital Audio Watermarking: An Overview
Abstract: AbstractA real watermarking procedure is required for copyright security and confirmation of protected innovation. This work recommends an advanced watermarking procedure which makes utilization of concurrent recurrence veiling to conceal the watermark data. The calculation is grounded on Psychoacoustic auditory model and Spread spectrum hypothesis. It creates a watermark sign utilizing spread range hypothesis and implants it into the sign by measuring the covering edge utilizing modified Psychoacoustic auditory model. …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 1–9 Read article
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Determination of The Mean Fetal Biometrics and The Mean of Ratio of biometrics in 2nd and 3rd Trimester of Pregnancy in Correlation with Fetal Gestational Age: As a Predictive Biometric Parameters
Abstract: Introduction: Fetal cerebellar diameter in normal gestation is also highly correlated with fetal growth indices. Objective: To determine to mean fetal biometric ratios in 2nd and 3rd trimester of pregnancy on ultrasound as a predictive biometric parameter of gestational age. Study Design: Cross-sectional study. Material and Methods: A total of 140 pregnant women in their second and third trimester were included in this study. BPD, AC, FL and TCD were …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 12–16 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 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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Implementation of Number Plate Detection Using Matlab
Abstract: AbstractNumber plate recognition (NPR) is an image-processing technology and an important field of research that identifies vehicles by their number plates in which the number plate information is extracted from vehicle's image or from sequence of images without direct human intervention. NPR comprises of four stages: Preprocessing, number plate extraction, character division, and character acknowledgment. This paper introduces an effective approach for number plate extraction from preprocessed vehicle input picture …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 1, 2017 · pp. 1–9 Read article
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Analysis of Side View Face Recognition Using Gabor Filter and PCA Techniques
Abstract: AbstractRecognition of human side face is being a dynamic research area in recent era. A different system for face recognition including side view confront has been proposed in this paper. Face recognition utilizing blocked face or using a small portion of the face is still an issue in human recognition which has incredible potential in criminological and security applications. The paper gives a concise thought regarding PCA and 2DGF systems …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 21–27 Read article
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External Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted imagesExternal Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted images
Abstract: In this work an image de-noising method with external bilateral filtering and wavelet domain thresholding has been proposed. In Gaussian filtering, it fails to denoise an image at edges where the spatial variations are not smooth and causesblurs at the edges in the image. External bilateral filter (EBF) beats this by filtering the picture in both reach and area (space). Respective separating is a nearby, nonlinear and non-iterative procedure which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 11–19 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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Vanity Plate Image Estimation of Moving Vehicles
Abstract: AbstractLicense plate recognition of automobile is concern and challenging exploration discussion thread from past little duration. It is a very important field in intelligent transportation systems (ITS). Many times, it would be very hard to recognize the proprietor of an automobile who disregards the commercial transportation law and is moving with a fast speed. The motto of license plate recognition (LPR) systems is to trace, segment and identify the vanity …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 19–27 Read article
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A Comparative Study on Image Segmentation using Maximal Similarity Region Merging
Abstract: Segmentation is a low level process concerned with images partitioning through defining discontinuity or similarity or equivalently, through finding boundaries or edges. Image segmentation is a mechanism used for an image divide into numerous segments. The main objective is to create the image meaningful and more simple, so as to modification the an image optimization into the something that is additional important and easier to study various approaches of image …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article