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483 articles for “machining operation”
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Decision-making Under Certainty: a Linear Programming Approach towards Optimal Product Mix Decisions—a Case Study in Amhara Pipe Factory
Abstract: Manufacturing organizations highly benefit from proper allocation of resources (working capital, raw materials, labor power, working times, machinery, etc.) to optimize a product mix which is useful for profit maximization. The main purpose of this study is to critically examine the products produced in Amhara Pipe Factory to certainly decide which of these products must be given more attention or produced more in order to maximize the profit. The products …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 15–26 Read article
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Condition monitoring and fault diagnosis of gears based on vibration signatures - A review
Abstract: Gearbox is widely used in industrial and military applications. It is subjected to high service load and harsh operating conditions or inevitable fatigue, due to which faults may develop in gears. Fault diagnosis plays an important role in condition monitoring to enhance the machine time. Vibration-based condition monitoring can be applied in gear systems to detect the origination and expansion of fault before the occurrence of failure. Eventually, occurrence of …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 39–45 Read article
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Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing
Abstract: Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation. The study explores modern cloud security patterns while also evaluating how artificial intelligence modifies the identification and evaluation of complex cyber threats along with their prevention methods. New security threats such as insider operations and DDoS attacks and data breaches alongside insecure APIs can be detected through machine learning …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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AI Enhanced E-Voting System Securing Elections with Face Recognition and OTP Authentication in India
Abstract: The E-Voting domain seeks to leverage technology to address these issues, enabling citizens to vote securely and conveniently while maintaining the transparency of the electoral process. Machine learning algorithms like Haar cascade and CNN will enhance the system's security, accuracy, and efficiency by leveraging data- driven approaches. Conventional voting techniques frequently encounter obstacles including identity theft, convoluted processes, and hold-ups in the processing of results. This article suggests a complex …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 21–30 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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A Comprehensive Guide to Application Development Using Flutter
Abstract: Developers are forced to either write the same application many times for other operating systems or use a similar but inferior solution that compromises native performance and accuracy in favor of portability. Flutter is a toolkit developed by Google that helps programmers create apps that look and feel great on different devices like phones, tablets, and computers. What is special about Flutter is that one can write code once and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 35–41 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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Innovative Design and Fabrication Techniques for an Octawalker: A Comprehensive Study
Abstract: The octawalker is a walking aid that is remote-controlled.We intend to increasesecurity to a new level. In order to benefit our country, we created this initiative using our thoughts. composed of two motors that run on 12 volts DC.DC battery power supply that can be recharged. These checkpoints demand all vehicle traffic to stop. According to Webster, a robot is & an autonomous device that performs functions normally ascribed to …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 30–35 Read article
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Developing a Model in Matlab/Simulink Environment for Induction Motor Considering Core Loss and Stray Load Loss
Abstract: This paper focuses on a Matlab/Simulink model of a squirrel-cage induction motor with consideration of core loss and stray load loss. This model is based on some mathematical expressions and also described through an equivalent circuit including core loss and stray load loss. The model of induction motor has been developed based on the state space equations in a synchronously rotating reference frame, where core loss and stray load losses …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 1–12 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Eyes for Machines: A Computer Vision Approach to Enhance Robotic Arm Dexterity and Autonomy
Abstract: By combining sophisticated robotics and visual awareness, computer vision operated robotic arms have revolutionized technology. These devices are having a profound effect on several industries, from manufacturing processes to healthcare. Computer vision–controlled robotic arms are altering the game with their ability to see, comprehend, and interact with their surroundings. In this study we have tried to develop and implement software and hardware to improve the freedom of movement in a …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 28–33 Read article
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Parametric optimization of end milling operation on EN24 – A Mapping Review
Abstract: The milling of EN24 hardened steels has been applied in many cases in production. The purpose of this review is to study the effect of influence of milling operation parameters such as cutting speed, feed and depth of cut on the material removal rate and surface roughness in milling of EN24 steel. The effect of milling operation parameters are evaluated for minimum surface roughness and maximizing material removal rate. Maximum …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 42–48 Read article
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Parametric Optimization of boring process by alternate tooling head to improve productivity of GG25 cylinder liner using response surface methodology
Abstract: The manufacturing process are the heart of any industries. The process are getting renewed day by day to achieve a simple goal of efficiency. The paper states about the one of manufacturing process namely boring operation in material removal process and its optimization to increase the production on going in the industry. The boring process is used in here to enlarge the bore of cylinder liner which are also precision …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 27–30 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Kisan Mantra: Enhancing Farmer Productivity, A Web-Based Approach for Efficient Crop Harvesting and Problem Diagnosis
Abstract: India's agricultural sector faces persistent challenges, including limited access to expert guidance, difficulties in managing diverse datasets, unreliable weather forecasting, and a lack of real-time monitoring for farm activities and crop quality. Additionally, farm lenders struggle to obtain accurate insights into farm productivity and risks, hindering their ability to provide tailored financial solutions. The sector also grapples with underemployment among educated professionals, limiting their contributions to agricultural advancement. To tackle …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 71–87 Read article
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Power Quality Issues and Challenges in Grid Connected Solar PV System: A Review
Abstract: The paper presents power quality power quality issues and challenges in grid connected solar PV system.. There arevarious control technique available in the paper those have successfully presented. Power quality compute the efficiency of electric power dispatched from generation to the domestic, industrial, and commercial customer. At least fifty per cent of power quality trouble is of voltage quality type. Voltage distortion established. Electrical strength of machine is design to …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 25–31 Read article
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Development of Random Pulse Width Modulation in Power Electronics Converter
Abstract: With the new advancement in power electronic devices the high frequency system can often causes acoustic noise, mechanical vibration, EMI related problems in inverter-fed AC machine due to harmonics content in voltage and current waveforms which makes operator feel uncomfortable to work. Proposed work deals with one of the Pulse Modulation Technique, Random Pulse Width Modulation (RPWM), which is a new and effective technique to let the inverter-fed ac motor …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article