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800 articles for “Edges”
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Edge Domination Number on Cartesian product of Simple Fuzzy Graphs
Abstract: AbstractIn this paper, we define the concept of edge domination number on Cartesian product of simple fuzzy graphs (G&H). Some results and bounds on edge domination number are derived in fuzzy graph (G×H). We prove some theorems that relate the parameters g(G×H), gcd(G×H) and g¢(G×H). Finally, the relationship between the fuzzy dominator chromatic number and edge domination number on Cartesian product of simple fuzzy graphs are discussed.Keywords: Dominating set, edge …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 1, 2017 · pp. 8–17 Read article
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Detect The Edges in Multiple Satellite Cloud Image
Abstract: A footing could also be outlined as a collection of connected pixels that forms a boundary between two disjoints regions. Edge detection is essentially a technique of segmenting a picture into regions of separation. Edge detection plays a crucial role in digital image processing and sensible aspects of our life. The sting detection in multiple satellite cloud pictures supported edge detector strategies in used conjunction with image sweetening and noise …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 3, 2015 · pp. 7–11 Read article
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Mean Edge Estimation in Population of Planar Graph Using Stratified Sampling Procedure
Abstract: When stratified sampling is used then the population has the capacity to be grouped on thebasis of certain characteristics. Generally in survey sampling the respondents are individualpersons and they are physically unlinked. Consider a situation of graphical structure wherenodes and edges are the main constituents and if somebody wants to estimate the averagelength of edges between two nodes then it is a problem under usual sampling setup. Thispaper assumes the …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 3, 2019 · pp. 11–31 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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Hardware/Software Co-Simulation of Gradient-based Edge Detectors: A Comparative Study
Abstract: Edge detection, a segmentation technique, produces an edge map that contains important information about the image. We realized Gradient-based Edge Detection Algorithms in FPGA hardware utilizing Hardware-Software Co-Simulation with the help of Simulink (Mathworks) and System Generator (Xilinx). We explored and utilized different gradient based edge detection operators Sobel-Fieldman, Robert and Prewitt Operator. After comparative analysis, we found both Sobel and Robert operators among the best with hardware realization of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 30–37 Read article
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Various Edge Detection Techniques for Efficient Gait Recognition System
Abstract: AbstractGait recognition system is one of major security concerns for moving objects in biometric authentication. In this paper, various edge detection techniques for converting a gait image into edge image for recognition purpose are discussed. It is also useful for efficient image segmentation. Efficient Image segmentation technique plays an important role for improving recognition rate as well as recognition time. This survey work is helpful for making an efficient gait …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 17–20 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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A Novel Approach to Edge Detection and Performance Measurebased on the Theory of “Range” and “Bowley’s Measure ofSkewness” in a Noisy Environment
Abstract: We proposed a new edge detection algorithm in a salt and pepper noisy environment without any pre-processing. The algorithm is a simple, unique mathematical expression. It is the product of three terms: median, range and some edge image enhancement constant. The algorithm assumes that the edge exists in an image at non-zero skewness. We also proposed a performance measure technique by using “Bowley's measure of Skewness”. The coefficient of Skewness …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 31–38 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article
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Damping Techniques for Controlling Edgewise Vibration of Wind Turbine Blades
Abstract: AbstractEdgewise vibrations with low aerodynamic damping are of particular concern in modern multi-megawatt wind turbines, as large amplitude cyclic oscillations may significantly shorten the life-time of wind turbine components, and even lead to structural damages or failures. In this paper, five types of damping methods are studied. The tuned liquid dampers utilize the sloshing motion of the fluid to suppress structural vibrations and become a natural candidate for damping vibrations …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 7, Issue 2, 2017 · pp. 26–33 Read article
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Analogy between Various Edge Detection Algorithms
Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article
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Driver Drowsiness Detection Using Canny Edge Detection and Hough Transformation
Abstract: AbstractThe aim of this study is to save many lives during road accidents because of driver’s drowsiness. A method for detecting sleepiness in drivers is developed by using a camera that points directly towards the driver’s face and captures the video. Once a video is captured, it detects a face and continues monitoring the face region and eyes in order to detect fatigue. Viola Jones algorithm is used to detect …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 9–13 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Image Super Resolution Using Back-Projection based on Canny Edge Detection and Gabor Filter Prior
Abstract: In recent years, due to the advancement of mixed media instrumentation and machine gadgets, single-image super resolution has currently been converted into a thought subject. Super-resolution is the procedure of improving a high-resolution image from varied low-resolution pictures of a similar scene. The key goal of super-resolution imaging is to reproduce a higher-resolution image focused around a group of pictures, procured from a similar scene and indicated as “low-resolution” pictures, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 48–56 Read article
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Contribution to the Embryology of Alysicarpus tetragonolobus Edgew
Abstract: AbstractIn the present article embryology of Alyscarpus tetragonolobus Edgew is described. The anther wall comprises the epidemis, the fibrous endothecium, two celled stage. The ovule is campylotropus. Crassinucellate and bitegmic. The archesporial in the ovule is hypodermal and cuts off a parietal cell. Embryo sac development conforms to the Monosporic polygonum type. Endosperm development is nuclear. The chalazal part of the endosperm remains free nuclear. Embryogeny conforms to the first …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 9, Issue 1, 2020 Read article
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Estimation of Edge in Population of Binary Tree Using Stratified Sampling Procedure
Abstract: Sampling methodologies is a tool to investigate about the information of unknown population parameters. Sometimes the population has the tree structure where one node has two or many paths to scatter. For example, from one airport, there are many routes to travel to different airports; and further, other airports have many similar links. This creates graphical structure of connectivity among different airports around the world. Now the problem of investigation …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 60–73 Read article
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Cutting-Edge Developments and Innovations in Amazon Web Services (AWS)
Abstract: In 2025, Amazon Web Services (AWS) continues to dominate the cloud computing industry through groundbreaking innovations in artificial intelligence (AI), strategic partnerships, data center advancements, and expansion into new markets. These initiatives help AWS maintain its position as a top provider of secure, scalable, and efficient cloud services, adapting to the ever-changing demands of businesses across the globe. One of AWS’s most significant advancements is its AI-driven cloud services, which …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 01–08 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article