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509 articles for “detection”
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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PERFORMANCE OF IDMA WITH PRIME INTERLEAVER BY USING SEMI-BLIND DETECTION TECHNIQUE IN WIRELESS COMMUNICATION SYSTEM
Abstract: This paper provides a review on the IDMA (Interleave Division Multiple Access) technology in wireless communication system based on interleaver. It provides comprehensive study of IDMA technique with prime interleaver. In this paper, channel estimation techniques for iterative receiver are discussed for IDMA system. Semi-Blind techniques are considered .In this paper, IDMA technique is proposed in AWGN channel. IDMA is a multi- user scheme in which chip interleavers are the …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 2, 2015 · pp. 1–7 Read article
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Next-generation Monitoring: Arduino-based Networking Approach for Underground Cable Fault Detection
Abstract: This study presents a novel approach that makes use of networking technology and Arduino microcontrollers to identify defects in subterranean cables. For electricity distribution networks to continue to be dependable and safe, defects in subterranean cables must be accurately located and detected. An Arduino-based system to concurrently identify defects and determine their lengths in subterranean cables. Through the integration of sensors that are attached to Arduino boards with a networked …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 11–17 Read article
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Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings
Abstract: ABSTRACTThis paper gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines and image processing. Keywords: Glaucoma, HOG, SVM, image processing, Embedded computing.Cite this Article: Fazlulla Khan, Ashok Kusagur. Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings. International Journal of Embedded Systems and Emerging Technologies. 2019; …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Detection of Environment Ionization Radiation with GM Tube
Abstract: For environmental ionizing radiation hazard monitoring applications, very sensitive detector electronics has been developed. Experiments were performed using International Standard beta and gamma sensitive Mica window type GM Tube LND-712 from LND Inc. USA and Russian fast GM Tube with Aluminium energy compensated shield. Both tubes were operated with regulated DC high voltage power supply in the range of 300V to 500V range using Matsusada Japan make 1kV 5W programmable …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 2, 2016 · pp. 15–19 Read article
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A Novel Method of Rice Disease Detection Based on Deep Learning
Abstract: India's main food crop is rice. Agriculture accounts for 70% of the Indian economy, yet pests and illnesses cause 37% of the production of rice to be lost. The early detection of rice diseases will prevent huge economic loss for the farmer and the proper care can assist farmers to protect their rice crops from various crop diseases. Manual illness diagnosis is a time-consuming and complex technique. Deep learning techniques …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 10–17 Read article
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Advancement in Nanodiagnostic for Plant Pathogen Detection
Abstract: Nanotechnology refers to a nanoscale innovation, which has promising applications in everyday life. The word nanotechnology is generally used when referring to materials with the size of 0.1 to 100 nanometers. Nanotechnology is a multi-displinary science involving knowledge fro biology, chemistry, physics and other disciplines. The nanoparticles have small size, large surface area and high reactivity. These properties of nanoparticles revolutionized the agriculture researches. Rapid disease detection, targeted treatments, enhancing …
Published in International journal of Nanobiotechnology · Vol. 4, Issue 2, 2018 · pp. 1–7 Read article
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A Study to Assess the Effectiveness of Video Assisted Teaching on Early Detection of Visual Disturbances in Children Among Primary School Teachers in a Selected School at Puducherry
Abstract: Objectives: The objective of the study was to evaluate the effectiveness of video teaching on early detection of visual disturbances in children among primary school teachers. Methods: Pre-experimental design – one group pre-test and post-test design. Results: Majority 61.5 (24) of primary School teacher had inadequate knowledge, 35.9 % (14) had moderately adequate knowledge and 2.6% (1) had adequate knowledge in pre-test. When comparing with the post-test knowledge after a …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 3, Issue 2, 2017 · pp. 19–21 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Development of IoT-Based Alcohol Detector Using Blynkand Node MCU
Abstract: Despite its long history in human society, alcohol consumption has a substantial negative impact onhealth and accidents. Worldwide, drunk driving is a leading factor in traffic fatalities and accidents.People still drive while intoxicated, endangering both themselves and other drivers, in spite of stronglegislation and awareness programmers. Using Blynk and Node MCU, an Internet of Things-basedalcohol detector had been created in response to this problem with the goal of preventing drunk …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 8–14 Read article
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Comparison of Various Methodologies used for Automating Plant Disease Detection using Image Processing
Abstract: In India, major of economy and development depends on agriculture, so plant disease detection becomeimportant for us so that if any crop is destroyed due to diseases is known to us prior and we can overcomethe loss of crops due to plant diseases. It is better to catch the disease in the initial phase so that the largescaledamage of crops can be prevented. Traditionally, the diseases incurred via the naked …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 20–23 Read article
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Detection of Trans Fats in Oils
Abstract: Today’s society is highly concern about their health which focuses our efforts in one direction that is how to eliminate harmful elements from our daily diet. One of them being Trans fatty acids. Detections of these can be done by various methods, but most of them are lengthy and tedious with varying accuracy. This reason has been the driving force for development of alternative methods to find accurate measurements. In …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 3, Issue 1, 2017 · pp. 7–14 Read article
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Trucks Overload Detector and Controlling
Abstract: Trucks going beyond the legal mass bounds upsurge the danger of traffic accidents and damages to the structure. They likewise result in out-of-line rivalry between transport modes and organizations. It is important to guarantee a truck compilation to weight guideline. New innovations are being created for increasingly productive overload screening and requirement. Motion is the new innovation which enables trucks to be said something the traffic stream, with no disturbance …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 15–20 Read article
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A Real Image and the Edges Detected Using Ramp and Ridge Profile
Abstract: Edge detection may be an elementary downside of laptop vision and has been wide investigated. I tend to propose a brand-new framework for edge detection supported edge profiles. Acceptable analysis functions area unit required for various kinds of edge profiles, like ramp edges, ridge edges, etc. Associate in Nursing analysis operate should meet the need that it'll manufacture native minima at the positions wherever edges of a given sort occur …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 11–16 Read article
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Intelligent Currency Counter cum Counterfeit Detection: A Survey
Abstract: Any developing country faces many challenges with respect to its economical stability. One such threat in cash transactions is fake notes. Due to advances in scanning and printing technologies the production of fake notes can be easily done. Manual detection of fake notes is time consuming and so is counting currency of different denomination in a bundle. This project focuses on building a device that accurately counts money and also …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 34–40 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article