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231 articles for “mechanical integrity”
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Photochemical Detoxification of Arsenic- and Mercury-Contaminated Soils: Geochemical Mechanisms and Pathways
Abstract: This study evaluates the geochemical aspects of soil detoxification in areas contaminated with arsenic (As) and mercury (Hg), emphasizing sustainable strategies for improving soil health and ensuring safe crop production. The research provides an ecological and toxicological assessment of regional soils and classifies them base on the concentration and mobility of toxic elements. Although the current levels of As and Hg do not yet present a critical risk to agricultural …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 06–10 Read article
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Millet Bran: Unveiling Its Potential Health Benefits
Abstract: Millet bran, derived from various millet grains, has emerged as a potent nutritional source, rich in fiber, vitamins, minerals, antioxidants, and omega-3 and omega-6 fatty acids. Its rising popularity is driven by its gluten-free nature, nutrient density, and sustainability. This review aims to explore the potential health benefits of millet bran, focusing on its digestive health, blood sugar control, heart health, antioxidant properties, and fatty acid composition. The Millet brand …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 11–19 Read article
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Advancements in Electromechanical Modeling for Energy Harvesting and Actuators in Robotics and Design Engineering
Abstract: This article examines the expanding field of electromechanical modeling, highlighting the integration of energy harvesting, actuator behavior, and magnetic/electromagnetic analyses in the design and production of electromechanical systems. It discusses the application of the Galerkin method for modeling intricate vibrations and torque generation, with a particular focus on its use in actuators for robotics and induction motors. Significant advancements in energy harvesting methods, especially those utilizing mechanical vibrations, have led …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 21–25 Read article
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Designing for Indoor Air Quality: Using Plants and Ecofriendly Materials
Abstract: This study’s main objective is examining passive design techniques that optimize energy efficiency, such as natural ventilation, daylighting, and thermal insulation. It explores their potential to reduce energy consumption and enhance occupant comfort while minimizing reliance on mechanical systems. Sustainability is a key focus throughout the study, highlighting the importance of adopting sustainable practices in the design and construction industry. The research explores strategies for reducing environmental impact, minimizing waste, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 13–20 Read article
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Blockchain Technology: Comprehensive Review and Future Directions
Abstract: Blockchain technology has emerged as a transformative power, restructuring sectors by offering increased security, transparency, and decentralization. This research paper serves as a comprehensive examination of blockchain, aiming to dissect its intricate structure, explore its myriad applications, confront existing challenges, and envision future advancements. At its core, the problem addressed herein is the imperative to comprehend the present landscape of blockchain technology, discern its limitations, and chart a course toward …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 33–38 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Design and Optimization of Radial Turbines for Waste Heat Recovery Applications
Abstract: Waste heat recovery (WHR) offers a compelling way to improve sustainability and energy efficiency in several different industrial sectors. In waste heat recovery (WHR) systems, radial turbines are essential because they capture waste heat and transform it into useful mechanical or electrical energy. A thorough summary of the design and optimization concepts guiding radial turbines for WHR applications is given in this review article. After outlining the basic concepts of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 52–58 Read article
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Adaptive Street Illumination System with Energy Harvesting
Abstract: This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Recent Advances in Atmospheric Physics and Chemistry: Composition, Dynamics, and Impacts
Abstract: The Earth's atmosphere is vital for sustaining life and regulating climate. This review explores key aspects of atmospheric physics and chemistry, including atmospheric composition, the dynamics of greenhouse gases, ozone depletion, and the effects of aerosols and atmospheric pollutants. The interaction between anthropogenic emissions and natural processes, such as the carbon and nitrogen cycles, is crucial for understanding climate feedback mechanisms. The impact of photochemistry on air quality and the …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 5–9 Read article
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Hardware Solution for LVRT Enhancement Techniques in DFIG - A Review
Abstract: With the advancement of wind power technology, penetration of wind power to power systems has increased significantly. Grid codes require that the wind generators should remain connected for specified time even under low voltage conditions. Stricter grid code requirements are now necessary to assure system stability and reliability due to the growing integration of wind power into contemporary power networks, which is being pushed by the quick development of wind …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 59–73 Read article
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Land Tenure, Farming Constraints, and Rural Livelihoods in India: An Integrated Assessment
Abstract: Land remains the central asset shaping agricultural productivity, socio-economic security, and rural development in India. However, the complex interaction between land tenure systems, farming challenges, and livelihood patterns continues to hinder sustainable agricultural growth. This review provides an integrated assessment of the key issues influencing land use dynamics, including ownership inequalities, insecure tenancy arrangements, land fragmentation, and the slow implementation of land reforms. These structural limitations restrict farmers’ access to …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 11–16 Read article
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Spirituality-Based Psychotherapies in Relation to Social Media Addiction: A Review
Abstract: Social media addiction has become a pressing concern, characterized by compulsive usage that significantly impacts mental health. In the digital age, where the boundaries between the virtual and the real have blurred, social networking sites (SNS) have emerged as pivotal platforms that shape the lives of young people. Most people's life now revolve around social networking sites, particularly those of teens. Excessive engagement with social media can have adverse effects …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 39–47 Read article
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An Overview on Energy Harvesting Using Piezoelectric Material for Wi-Fi Systems
Abstract: The rapid proliferation of wireless-networked devices has intensified the demand for sustainable, maintenance-free power sources that can keep small-scale Wi-Fi modules operational in hard-to-reach or infrastructure-limited environments. This study investigates the feasibility of harvesting ambient mechanical energy using piezoelectric transduction technology and directly feeding the harvested power to a low-power Wi-Fi communication subsystem. A compact energy-harvesting module was engineered from lead-zirconate-titanate (PZT) cantilevers with resonant frequencies tuned to the dominant …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 56–63 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Functional Role of Feed Enzymes in Broiler Diets: A Pathway to Enhanced Nutrient Utilization, Performance, Health and Welfare
Abstract: The inclusion of feed enzymes in broiler diets has emerged as a pivotal strategy for improving nutrient utilization, enhancing growth performance, and promoting overall health and welfare in modern poultry production. Feed enzymes, such as phytase, xylanase, and protease, facilitate the breakdown of complex molecules in feed ingredients, leading to increased bioavailability of essential nutrients and improved digestion efficiency. This review explores the underlying mechanisms by which feed enzymes contribute …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 9–17 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article