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469 articles for “environmental conditions”
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A Comparative Study of Inorganic and Natural Coagulants for Dairy Wastewater Treatment using Alum Sulphate and Moringa Oleifera
Abstract: The treatment of dairy wastewater is essential to reduce its environmental impact, particularly in terms of organic load and suspended solids. This study investigates the application of alum sulphate as an inorganic coagulant for dairy wastewater treatment and compares its effectiveness with the natural coagulant Moringa oleifera. The performance of both coagulants was evaluated based on key water quality parameters, including pH, Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS), …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 01–07 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Thermodynamic Analysis and Slow Pyrolysis Product Characterization are Used to Assess Rice Straw for Bio-char Production
Abstract: This work explores the viability of using slow pyrolysis to produce bio-char using rice straw as a feedstock. The objective is to characterize the resulting bio char and analyse the thermodynamic processes involved in its formation. Rice straw, an abundant agricultural residue, was subjected to slow pyrolysis under controlled conditions. The produced bio char was characterized using various analytical techniques, including scanning electron microscopy, elemental analysis, and surface area measurements. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 26–29 Read article
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A study on CMOS Operational Amplifier in Sensor Development
Abstract: CMOS operational amplifiers (op-amps) have emerged as pivotal components in modern sensor development, enabling the amplification and conditioning of weak signals with high precision and efficiency. Their inherent advantages low power consumption, compact size, and seamless integration with digital circuits make them ideal for advancing miniaturized, battery-powered sensor systems in fields ranging from biomedical devices to IoT networks. By delivering precision, power efficiency, and integration, CMOS op-amps are not just …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 01–07 Read article
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Performance Evaluation of Eco-friendly Cutting Fluid in Machining Process—An Approach towards Environmentally Friendly Production
Abstract: The machining industry's evolving environmental consciousness has prompted a growing demand for cutting fluids devoid of chlorine and sulphur, thus fostering sustainable machining practices. This surge in demand is driven by mounting apprehensions over environmental contamination and worker safety. As the industry transitions to modern cutting fluids, it becomes imperative to comprehend their effectiveness and the optimal machine parameters required for their deployment in the turning process. In our current …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 149–160 Read article
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Electromechanical Modeling of Microscale Fluidic Systems with Electro Kinetic
Abstract: Due to their capacity to carry out complex fluid manipulations at the microscale, microfluidic systems have become more popular in a variety of applications. For a variety of industries, including biomedical diagnostics, chemical analysis, and environmental monitoring, achieving precise and effective fluid control is essential. The electromechanical modeling of microscale fluidic systems using electro kinetic actuation is the main topic of this research study. We propose a thorough framework for …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 18–22 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 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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Breaking the Cycle: The Impact of Hygiene Deficiencies on the Health of the Poor
Abstract: Poor sanitation and hygiene present significant health risks, particularly for individuals in low- income communities. Inadequate sanitation systems increase the likelihood of exposure to harmful microorganisms found in contaminated water, food, and environments. This exposure contributes to the spread of waterborne diseases such as cholera, dysentery, and typhoid, along with various gastrointestinal illnesses. Limited access to clean water and soap for handwashing exacerbates these risks, particularly for children, who are …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 22–39 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Understanding the Corrosion Behaviour of Graphite in Peat Environment for Environmental and Sustainability Applications
Abstract: Graphite, which is one of the most remarkable carbon materials for industrial applications, is a heat exchanger component material in the phosphoric acid industry, bipolar layer or electrode material in vanadium redox flow batteries, electrode material for advanced oxidation processes, electrode material for lead-acid batteries, electrode material in fuel cells and microbial fuel cells, and more interesting, as moderator or core material in nuclear reactors used. Corrosion, one of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 728–737 Read article
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Botanical Beauty: Exploring the Role of Herbal Drugs in Modern Cosmetics
Abstract: This review provides a concise overview of the burgeoning use of herbal drugs in cosmetics, showcasing their increasing importance in modern skincare formulations. Through an exploration of various herbal plants and their extracts, such as Aloe vera, lavender, calendula, and green tea, among others, the review elucidates the diverse array of benefits these botanicals offer for skin health and overall well-being. By harnessing the therapeutic properties of these natural ingredients, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 76–91 Read article
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Engineering Polymer Innovations for Improved Battery Safety and Vehicle Efficiency: A Comprehensive Review
Abstract: Electric vehicles (EVs) are high-power systems that require high-quality materials to ensure safety, reliability, and performance under extreme operating conditions. Polymer materials have become critical engineering materials in meeting these requirements due to their lightweight nature, design flexibility, durability, and high electrical insulation capability. Consequently, polymers are widely used in key EV components, including battery enclosures, module frames, thermal interface materials, wiring insulation, and lightweight structural parts.Recent developments in polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 500–512 Read article
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Biochemical Changes in Chickpea (Cicer arietinum L.) Plants Induced by Flooding
Abstract: Flooding is a significant environmental stressor that affects the growth, development, and productivity of chickpea (Cicer arietinum L.), a crucial pulse crop grown worldwide, especially in India. This study investigates the biochemical changes in chickpea plants subjected to prolonged and sudden flooding. Key parameters analyzed include carbohydrate metabolism, protein content, chlorophyll levels, amylase activity, and proline accumulation. Results show that flooding significantly reduces total sugar content in leaves, stems, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–9 Read article
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Nutrition Induced Remodeling Dynamics of Cell Membranes: Implications for Performance, Health, and Welfare Issues in Food Animals
Abstract: Cell membranes represent dynamic structural and functional platforms that integrate nutritional signals with cellular metabolism, immune competence, and physiological adaptation in food animals. Beyond their classical role as selective barriers, membranes actively regulate nutrient transport, signal transduction, and bioenergetics through highly responsive lipid and protein networks. Dietary components, particularly fatty acids, vitamins, minerals, amino acids, and bioactive compounds, critically influence membrane composition, fluidity, and stability, thereby shaping cellular function and …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 25–37 Read article
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Optimized Receivers for Underwater Visible Light Communication
Abstract: For uses like ocean exploration, environmental monitoring, and underwater data transfer, wireless communication under water is crucial. Conventional acoustic and radio frequency communication methods suffer from low bandwidth, high latency, and severe signal attenuation in underwater environments. With its high data rate and low propagation delay, Visible Light Communication (VLC) provides a promising alternative. In this work, an underwater VLC system is implemented using Light Emitting Diodes (LEDs) with intensity …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Experimental Analysis of Cutting Forces Under Different Machining Parameters and Carbide Inserts During Turning of Hardened AISI 4340 Steel
Abstract: Turning of hardened materials with an advanced coated carbide insert has numerous advantages over the grinding process, e.g., reduced process cost, high material removal rate, and less environmental concern due to the elimination of the cutting fluid. Process parameters in conventional machining operations like cutting speed, feed, and depth of cut play the most crucial role behind the generation of heat which also leads to microstructural changes, improved tool life, …
Published in Journal of Polymer & Composites Read article