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19 articles for “Defect detection”
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Intelligent Gear Inspection: Defect Detection through Digital Image Processing Algorithms
Abstract: A significant contributor to poor reliability and a source of humiliation for businesses are gear problems. The majority of the inspection procedures used in these businesses are laborious and manually. More thorough and accurate inspection procedures are needed to improve accuracy in finding gear problems. The present work fills this gap by implementing a Gear Defect Recognizer that uses local thresholding in conjunction with computer vision methodology to spot potential …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Examination of Internal Defects in the Casting Process by Using a Scanning Electron Microscopy
Abstract: In today's manufacturing landscape, stringent requirements and specifications for mechanical properties and other characteristics have become crucial for top casting manufacturers. This paper focuses on using Scanning Electron Microscopy (SEM) as a powerful tool to analyze internal defects that significantly impact the performance of castings. Specifically, it delves into various aspects of this approach, including the identification of bifilm deficiencies in ductile and chromium cast iron, near-surface corrosion induced by …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 1, 2024 · pp. 6–18 Read article
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Experimental Test Results on the Effect of Ultrasonic Waves on Defects in Car Bearings: The Effect of Defect Size
Abstract: To check for defects in car bearings, they are identified and measured by sound waves that are affected by the defect. Based on sound, it is called ultrasound technology because it uses high frequencies. High frequencies are the basis of ultrasound. Two features are useful for low-speed cars, which by definition usually have poor signal tolerance. High frequencies are sensitive to the effects of sound waves. In addition, the ultrasound …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 7, Issue 1, 2021 · pp. 14–21 Read article
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Drilling of Fibre Reinforced Plastics (FRPs) Materials: A Literature Survey
Abstract: The use of polymer composite materials has increased rapidly over the last decade and the numbers of papers for the machining of these materials has also increased. The aim of this paper is to present a literature survey on the resins, properties, the superiority of the hole produced in drilling of the fibre reinforced plastics (FRPs), different techniques used to detect the defects in composite structures that may be caused …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 1, 2015 · pp. 14–31 Read article
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Approaches to Transmission Line Fault Detection Utilizing GPS: An Overview
Abstract: Transmission line protection is essential since 80–86% of power system issues are related to transmission lines. This study suggests a way to classify and identify different types of short circuit faults on transmission lines. There are several operating and fault conditions on high-voltage line transmission, such as L-L fault, single phase to earth fault, and double line fault. Proteus Professional 8 software simulates three fault scenarios: triple line fault, triple …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 33–42 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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Effective Use of Various Types of Software Testing and Its Applications to Bug Free Software
Abstract: The significance of software testing lies in its ability to minimize errors, streamline maintenance efforts, and reduce overall costs associated with software development. For now, about the full details of any software development, there is a concept of software development life cycle. It describes the stages of the software development. The software testing process is crucial for executing a program to discover errors and evaluate the characteristics of the software. …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 6–10 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Study and Simulation of Radiation Effects on MOS Structures through High Energy Ions
Abstract: MOS structures exposed to 305 MeV Kr and 710 MeV Bi ions irradiation with fluences of 109 cm 2 and 1010 cm 2 were investigated by capacitance measuring methods (C–V, C–t), completed by quasistatic low-frequency C–V and DLTS measurements. The irradiated MOS structures were functional in spite of a high density of radiation defects. The electric activity of the defects brought a sharp decrease in the generation parameters tr and …
Published in International Journal of Applied Nanotechnology · Vol. 3, Issue 2, 2017 · pp. 40–46 Read article
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Comprehensive Overview of Pediatric Asthma: Diagnosis, Management, and Prevention
Abstract: Asthma is the most common chronic respiratory condition affecting children worldwide. Factors such as worsening asthma severity, poor disease management, and the effects of poverty may contribute to the rising number of hospital admissions for asthma. Childhood asthma is prevalent and influenced by both environmental and genetic factors. If a child experiences wheezing before the age of six, their symptoms are likely to improve over time. Asthma symptoms, including wheezing, …
Published in International Journal of Pediatric Nursing · Vol. 11, Issue 1, 2025 · pp. 20–24 Read article
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Optimization of Effects of FMEA to Enhance Quality and Efficiency of CNC Machines in Valve Manufacturing Industry
Abstract: Failure mode and effects analysis (FMEA) is a systematic method for identification and preventing problems of products and process before its occurrence. FMEA focus on preventing defects, enhancing safety and increasing customer satisfaction. The FMEA needs to define parameters such as Severity (S), Occurrence (O), Detection (D) and Risk Priority Number (RPN). The conventional FMEA and grey relational analysis approaches are applied in this work. The rankings of the failure …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 2, 2017 · pp. 11–20 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article
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Innovative Approach for Sugarcane Plantation
Abstract: Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 7–12 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article
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Evaluation with Wave Propagation Launch Vehicles besides Non-Intrusive Transmission Lines Failure Detection.
Abstract: The whole paper presents a principle of non-intrusive real-time network failure tracking utilizing wireless sensor networks. The core components of the detector are known as energy harvesters, waveforms and algorithms, circuits and components, and surface wave launchers. In this we have discussed a compact energy harvesting system that is capable of non-intrusively extracting power from a power cable. In terms of waveforms and algorithms, we suggest the usage of TDR …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 12–21 Read article