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483 articles for “machining operation”
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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Optimization of Surface Roughness and Material Removal Rate for Dry Turning Operation in CNC Lathe UsingTaguchi Method
Abstract: In this work the cutting of AISI 1045 material will be carried out using CNC lathe followed by Taguchi methodology. Taguchi method is usedto formulate the experimental layout. A Taguchi L9 design of experiment (DOE) will be applied and the analysis ofvariance (ANOVA) will carried out to determine the effect of process parameters on process performance. To analysethe effect of each parameter on the machining characteristics and to predict the …
Published in Trends in Machine design · Vol. 5, Issue 1, 2018 · pp. 46–53 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Trends, Challenges, and the Future of Unmanned Aerial Systems
Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article
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Convolutional Neural Network and its Architectures
Abstract: Convolutional neural network (CNN) is a type of artificial neural network (ANN) with multiple layers. From the past decades, it has been considered as a powerful classification technique as it can handle a huge amount of imagery data. It can be applied in the field of image recognition. The name CNN has been derived from the mathematical linear operation known as convolution which is performed between two matrices. CNN has …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 6–14 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Experimental Findings of the EDM Process Parameters for Metal Matrix Composites
Abstract: The process of electrical discharge machining (EDM) shapes hard metals and creates intricately formed, deep holes in a variety of electro-conductive materials by arc erosion. With regard to material removal rate (MRR) in metal matrix composite EDM, this study intends to examine the impacts of operational factors. The material removal rate generated is used to assess the efficacy of the metal matrix composite EDM process. It has been noted that …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 14–18 Read article
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Human-Robot Interactions and Social Robotics in Legal, Ethical, and Social Dimensions
Abstract: Human-robot interaction and social robotics have emerged as transformative fields, reshaping human engagement with intelligent machines. This evolution brings profound legal, ethical, and social challenges that demand critical exploration. Also, legal firms often struggle to keep pace with the advancements, raising questions about liability, accountability, and privacy in human-robot interaction. However, social robots, designed to operate in dynamic human environments, present ethical dilemmas around autonomy, trust, and preserving human dignity. …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 09–11 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Analysis of Nugget Diameter in Resistance Spot Welding
Abstract: In a manufacturing industry, there are many operations performed on daily basis which may be automatic or manual. Welding is one of them specifically spot welding which is nowadays an inevitable part of manufacturing industry and specifically an industry which is manufacturing parts from sheet metal. This industry requires high production machines with higher reliability. Basically, in spot welding there is no need of skilled labor in small industry and …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 10–15 Read article
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A VME Interface for Slave PCB using VIVADO
Abstract: AbstractThe VME bus may be broadly utilized mechanical bus, used to connected, mechanical, aviation transmission, military and command application. In arrange to supplant the VME transport interface chip numerous offspring sheets in framework, VME bus interface is executed on FPGA. This paper depicts the common attribute of VME bus and presents a design flow for VME Interface (Read and Write operation). Focus is on VME interface boards comprises of FPGA …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 1–8 Read article
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Internet of Things: Threats and Security
Abstract: Security is the most important in today’s world as we have personal and confidential data which we do not want to share with anyone, but somehow attackers attack on our data and steal our identity. Same happens in IoT, attackers somehow attack on devices or communication channels and steal the data. This study reviews all the threats and security issues in IoT. Nowadays, devices are made in such a way …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 7–11 Read article
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IoT-Based Industrial Safety Management Systems
Abstract: The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 18–22 Read article
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A review on Pole mounted GSM based circuit breaker
Abstract: At this modern age of technology-heavy machines working on live electric lines are more in numbers then compared to past few years. The fast development of electrical industries developed standards and established safety procedures to minimize various types of major hazards that may lead to severe injuries and death of the operators. However, if the scenario of the lines needs to be repaired that’s where the job will be endangered …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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Discomfort Analysis in Pneumatic Grinding: Steam Generator Manufacturing Industry
Abstract: Steam generator manufacturing involves a lot of custom designed components requiring intensive fabrication activities of welding and grinding. Pneumatic grinding machines of different types are widely used in such industries as they offer flexibility and ease of use. However, the deployment of pneumatic tools are associated with hand transmitted vibration and related health issues. The present study aims to evaluate the extent of discomfort levels of operators and its relationship …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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An IOT Based Smart S.O.S. Wristband for Women Safety
Abstract: Violence against women in India is actually more present than it may appear at first glance, as many expressions of violence are not considered crimes, or may otherwise go unreported or undocumented due to certain Indian cultural values and beliefs. These reasons all contribute to India's Gender Inequality Index rating of 0.524 in 2017, putting it in the bottom 20% of ranked countries for that year. This paper introduces an …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 3, 2020 · pp. 26–30 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Production of Particle Board from Cotton Stalk
Abstract: The cotton stalks are normally disposed of by burning, which contributes to the emission of harmful greenhouse gases which pollute the environment. This study used cotton stalk for the production of particle board. The study includes collection and preparation of cotton stalk, analyzing using the ASTM method and its morphological structure, determination of proximity and chemical compositions to compare with hardwood characteristics and production of cotton stalk particle board (CSPB) …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 3, 2020 · pp. 23–33 Read article