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355 articles for “Main frame”
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Design and Development Pneumatic Operated Washer Making Machine
Abstract: This research article presents the advanced method design and development of pneumatic operated washer making machine. The pneumatic system has gained a large amount of importance in last few decades. This project work mainly includes the main components of designs of pneumatic operated washer making machine such as: design of cylinder, selection of direction control valve, and selection of tube, design of aluminum sheet, plastic sheet, tar felt sheet and …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 12–20 Read article
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Study of Self Organizing Wireless Sensor Networks
Abstract: Recent advances in low-cost and low-power wireless communication coupled with progress in ad-hoc networking routing and protocols, have made “wireless sensor networks” a topic of active interest. Typically, hardware components in a wireless sensor network include sensor circuits, analog-todigital converters, microprocessors, and wireless communications transceivers. These hardware components need to be programmed using software tools to work cooperatively toward accomplishing a user-defined task. The main objectives of such a network …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 12–16 Read article
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War Between Robots and Humans: Evolution of Robots and Disasters Associated with Them
Abstract: Robotics and artificial intelligence (AI) have transformed the landscape of technology, allowing machines to take on roles that were previously thought to require human intelligence and skill. From industrial automation to military applications, the integration of intelligent robots into human society presents unprecedented benefits and equally significant risks. This paper investigates the historical evolution of robotics, the deepening human dependency on machines, and the emerging threats that suggest a potential …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 44–51 Read article
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Luxury in Sustainability: Designing Eco-Friendly Yet Opulent Interiors
Abstract: This report explores the evolving relationship between luxury and sustainability in interior design, challenging the misconception that opulence and environmental responsibility are incompatible. It examines how high-end residential, commercial, and hospitality spaces integrate sustainable materials, energy-efficient technologies, and ethical sourcing to create refined yet eco-conscious interiors. Through detailed case studies, including Bloomberg European Headquarters, Six Senses Zil Pasyon, and Passive House designs, the study highlights innovative approaches to reducing carbon …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 19–45 Read article
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Nuclear Safety and Regulation: A Review
Abstract: AbstractNuclear safety is defined by the International Atomic Energy Agency as “The achievement of proper operating conditions, resulting in protection of workers and environment from hazardous radiations”. The nuclear industry has continuously improved its safety standards and several regulatory boards monitor the nuclear setups to maintain the safety. However, many instances the safety lapse has resulted in disasters. The IAEA works in conjunction with member states and partners worldwide to …
Published in Journal of Nuclear Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 29–31 Read article
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Face Aging Using Generative Adversarial Network
Abstract: This project addresses the challenge of predicting how a person may look in the future or how they appeared in the past using a single photograph. While existing methods mainly focus on altering texture, they often neglect changes in head shape that naturally occur during the aging process, limiting their effectiveness, especially when applied to images of children. To tackle this issue, a novel approach is introduced that employs a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Artificial Intelligence and Edge Computing in Oil and Gas: Applications, Architectures, and Operational Realities
Abstract: Artificial intelligence has arrived in oil and gas, and unlike some previous waves of digital enthusiasm in the sector, this one is sticking. Saudi Aramco analyses approximately 10 billion data point every day and reported USD 4 billion in technology-driven operational gains in 2024. ExxonMobil uses AI to increase shale well output by more than 5 percent. Shell has deployed machine learning across more than 10,000 assets using C3.ai to …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 01–06 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Performance Improvement of Standalone Solar PV Pumping System Using Supercapacitor
Abstract: Two of the most pressing issues when it comes to rural communities of arid and semi-arid regions are water shortage and unstable grid electricity. Standalone solar photovoltaic (PV) pumping systems have been introduced as a clean, low maintenance alternative to diesel powered pumps, but their performance is limited by intermittent nature of sunlight and limited energy buffering capacity of conventional batteries. The paper is an investigation into the incorporation of …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 54–62 Read article
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The Doomsday Clock and Global Health: A Medical Sociological Analysis of Existential Threats to Human Civilization From 1947 to 85 Seconds to Midnight Situating the Biosocial Crises of the Twenty-First Century
Abstract: Since its inception in 1947, the Doomsday Clock maintained by the Bulletin of the Atomic Scientists has functioned as a socially constructed barometer of civilisational risk, translating complex scientific, geopolitical, and technological threats into a universally legible symbolic chronometry. As of January 2026, the Clock stands at 85 seconds to midnight, its most alarming position in nearly eight decades of operation. This article adopts a medical sociological framework, drawing on …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Ramifications of Industrial Pollution: Problems and Ways to Fix Them
Abstract: Pollution from industry is still one of the largest environmental challenges of the 21st century. It hurts the air, water, and land all around the world. This page discusses about the primary kinds of pollutants that arise from factories, such as heavy metals, particles, and toxic chemicals. It studies at how industrial emissions affect people and the environment, such as by causing respiratory problems, harming ecosystems, and changing the climate. …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Voltage Sag and Swell Compensation Using DVR Based on Asymmetrical Cascade Multicell Converter
Abstract: Dynamic voltage restorer (DVR) is a device which is used to compensate the voltage sags and swells for the protection of sensitive loads. The compensation is done by use of a converter, in this paper DVR configuration is based on asymmetrical cascade multicell converter. One of the main advantages of asymmetrical cascade multicell is increase in the number of output voltage levels with reduced number of switches. 15 level asymmetrical …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 23–26 Read article
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A Novel Approach for Morphological Attribute Profiles with Partial Reconstruction
Abstract: The classification of satellite images are difficult because of human eyes can see the colour of visible light mostly in three bands (RGB). The main shortcomings of existing system are leakage problem (when regions related to different structures in the image by connecting fake links leads to missing of certain objects), objects expected to disappear at a certain threshold remain present when objects were connected. And then if the small …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 1, 2019 · pp. 1–8 Read article