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483 articles for “machining operation”
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Coastal Steward: Developing an Ultra-Efficient Beach Cleaning Device
Abstract: Car Our project's goal is to create a beach cleaning machine that is both economical and effective in order to lower the expenses and labor involved in using conventional beach cleaning techniques. Our device is easy to transport and operate because it can fit in a car's trunk. Ecofriendliness has been given top priority, and we have made sure that replacement parts are available locally. Our inspiration for this project …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 44–48 Read article
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Mechanical Monster's Application in Era of Agricultural Industry: A Review
Abstract: A role of Agriculture is so critical in the Indian economy. Over the last few decades, Indianagriculture has recorded good growth. Implementing done in this area. The multipurpose farmingrobot is a fundamental anew ideas in this field is very important, although a lot of work has been dmajor agricultural machine for full yield. Weeding, sowing seeds and spraying pesticides is theconventional method in agriculture. In India, bullocks, horses, and buffalo …
Published in Trends in Machine design · Vol. 8, Issue 1, 2021 · pp. 21–25 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
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Advanced Water Purification Techniques for Sustainable Clean Water Management: A Comprehensive Review
Abstract: The growing global demand for safe drinking water, coupled with increasing pollution from industrialization, urbanization, and agricultural activities, has intensified the need for efficient and sustainable water purification technologies. Conventional water treatment processes often fail to remove emerging contaminants such as pharmaceuticals, microplastics, endocrine-disrupting compounds, and heavy metals. Advanced water purification technologies—including membrane filtration, advanced oxidation processes (AOPs), nanotechnology-based adsorbents, photocatalysis, electrochemical treatment, and bio-inspired purification systems—have emerged as promising …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 47–52 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Human Robot Interface and Visual Compressive Detecting on Robot Arm
Abstract: Vision compressive sensing, brain machine reference commands, and adaptive controller have been effectively integrated that enable the robot to perform manipulation tasks as guided by human operator’s mind and according to its innovative views. The ideology proposed consists of following main phases: (1) action recognition (2) hardware interfacing. Initially action recognition captures video according to movements enacted in recognition system. Later, in hardware interfacing it passes required commands by a …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 5–12 Read article
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Driver’s Safety Technology Using Machine Learning
Abstract: Nowadays, machine learning is mostly used in personalized recommendation systems. The use of machine learning to model the complex user-item interaction function is a trend in the current recommendation domain. This study outlines research carried out in the realm of computer science and engineering to develop a system for detecting driver drowsiness. The main aim is to prevent majority of traffic accidents caused by driver fatigue and drowsiness, fire and …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 30–37 Read article
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Human-Machine Interaction in Advanced Driver Assistant Systems: Design and Evaluation
Abstract: An autonomous vehicle, also known as a self-driving car or self-driving car, is one that is equipped with sensors and cameras to monitor its environment and can operate independently without the need for human intervention. It recognizes objects in the immediate environment, such as people, animals, and barriers, using a combination of cameras and sensors. reducing fuel waste, improving mobility, safety, and customer pleasure, among other things. Cost savings is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Enhancing Smart Grid Security: Machine Learning Approaches for Detecting Anomalies
Abstract: The integration of Information and Communication Technology (ICT) with traditional electric grids has led to the development of smart grids. However, this integration has also increased the risk of anomalies, such as cyber-attacks, metering fraud, electricity theft etc. False Data Injection Attacks are a class of cyber-attacks against power grid monitoring systems, where adversaries can inject false data to manipulate the grid’s operation. Metering frauds pertain to malicious customers com- …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 10–19 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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Evaluation of Reliability in Five-Phase Induction Motor Operated at Low Speed by V/F Control Method using FPGA
Abstract: AbstractThis paper presents the study of performance and reliability evaluation of five-phase induction motor by finding various parameters in the induction motor. Induction motors have increased demand for low cost and size, simple construction, least maintenance, operational simplicity and brush-less construction with cage rotor. Industrial applications demand high efficiency, and reliable and long life-time electrical machines. The fault modes of induction machines are very complex; many researchers are plagued to …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 2, 2014 · pp. 56–61 Read article
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The Role of AI in Modern Circuit Design and Simulation
Abstract: The integration of artificial intelligence (AI) in circuit design and simulation is revolutionizing the electronics industry by enabling faster, more efficient, and innovative design processes. This article explores the transformative role of AI in automating tasks traditionally reliant on manual expertise, such as schematic generation, component optimization, and fault detection. It highlights how machine learning algorithms and generative AI tools are improving design accuracy, reducing time-to-market, and enabling cost-effective prototyping. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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Influence of Cutting Angle on the Performance of an Orange Peeling Machine
Abstract: Growing demand for oranges for domestic and industrial uses requires a device that would peel the oranges at minimum cost, stress and time. Reduction in cost and stress can be meaningful only if the peeling time is minimised. Orange peeling machine was developed by taking into consideration effective choice of peeling tool component to enhance savings in peeling time. Tool holding system was made flexible to accommodate variation in set …
Published in Trends in Machine design · Vol. 6, Issue 2, 2019 · pp. 8–14 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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Reinforcement Learning for Adaptive Sensing with Shape Memory Polymer-Based IoT Nodes
Abstract: The rapid expansion of intelligent sensing in the Internet of Things (IoT) has revealed the pressing need for materials and algorithms capable of self-adaptation in volatile environments. Conventional polymer-based sensors and static control strategies often fail to capture nonlinear thermo-mechanical dynamics, leaving them unsuitable for unpredictable operating conditions. Although prior studies have improved polymer composites or introduced algorithmic optimization independently, few attempts have coupled the adaptability of smart materials with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 370–391 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Performance Evaluation of Brushless DC Motor during Sinusoidal and Trapezoidal Back-EMF Waveform
Abstract: Due to increasing popularity and wide application in the drive system BLDC motor is widely used. An undesirable signal in the brushless dc motor is a ripple in torque, which is in challenging motor control and some machine tools. This article represents the performance evolution of BLDC motor by using the sinusoidal and trapezoidal back EMF waveform for getting the efficient operation of BLDC motor drives. In sinusoidal back EMF …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 14–22 Read article
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SEMI-AUTOMATIC COW LIFTING MECHANISM
Abstract: There is a great difficulty faced by the farmers due to lack of machinery needed to move cows manually and are struggling much because of the high costs involved in handling the problem. The primary challenge dairy farms face is lifting the cow that has fallen over owing to excess weight gained during pregnancy, a leg injury, or an infection. These cows must be lifted by at least two people, …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 20–35 Read article
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Automatic Cloth Cutting Machine Using Programmable Logic Controller
Abstract: AbstractDuring the past few decades, the automation industry has shown a great progress in automatic control of different systems. The manual handling of any system results in less accuracy as compared to automatic control system. This project basically gives an initial theme that how an approach to a cloth cutting can be done using PLC. So, design of automatic cloth cutting machine has been made which gives more accuracy, reduces …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 1–3 Read article