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460 articles for “sensing”
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Voltage Vigilance: Ensuring Balance and curbing Theft in Power Distribution Networks
Abstract: This project proposes a system for detecting electrical overload and earth faults using an Arduino Uno controller. The system uses a current sensor to identify overloads and a voltage sensor to detect earth faults. An ESP8266 module allows users to switch between the two fault detection modes. When an overload is detected, the Arduino turns off AC bulbs using a relay and sends an alert message via a GSM module. …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 15–21 Read article
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Energy Conservation Using Street Light Monitoring and Vehicle Vibrations for EV Charging
Abstract: In the contemporary era, the escalating demand for sustainable energy solutions has prompted the exploration of innovative technologies to address energy conservation challenges. This research introduces a novel approach to energy conservation by integrating street light monitoring and utilizing vehicle vibrations for Electric Vehicle (EV) charging. The proposed system leverages smart sensors and advanced communication technologies to monitor street lights and harness vehicle vibrations, thereby contributing to the optimization of …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Improving Healthcare Outcomes with RF-enabled Health Information Systems
Abstract: Health Information Technology (HIT) plays a crucial role in improving healthcare by making medical data more accessible, accurate, and efficient. Using radio frequency (RF) technology, HIT enables the wireless sharing of important health information—like patient records, and treatments—between patients, doctors, and other healthcare providers. This helps reduce paperwork, cut costs, and improve the quality of care. By reducing the reliance on paper-based records, RF-based HIT helps streamline administrative processes, cut …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 8–13 Read article
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Automatic Medicine Dispenser Using QR Code
Abstract: The "Automatic Medicine Dispenser Using QR Code" revolutionizes healthcare by minimizing queue-related inconveniences through automated medicine dispensing. It integrates software for QR-based prescription management and hardware components like Arduino Mega 2560, IR sensors, and motors for precise dispensing. Additionally, it ensures real-time doctor notifications for medicine unavailability, enabling timely alternatives and uninterrupted patient care. The study comprises two teams, each dedicated to software and hardware development. On the software front, …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 22–29 Read article
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Securing IoT Wilderness with VHDL
Abstract: The Internet of Things (IoT) has revolutionized connectivity by integrating billions of devices and reshaping industries. However, this vast network also brings substantial security concerns. From compromised sensors to hijacked industrial control systems, the vulnerabilities within IoT devices can have far-reaching consequences. Hardware Security Modules (HSMs) provide a reliable and secure environment for performing cryptographic operations and safeguarding sensitive data. This article explores the crucial role of VHDL (VHSIC Hardware …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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Exploring Carbon Nanotubes in Nanotechnology: Functional Properties, Surface Modifications, and Biomedical Innovations
Abstract: Significant progress has been made in nanotechnology in recent years, especially in the creation of sensors with a broad range of uses. Among these, carbon nanotubes (CNTs) are cylindrical structures composed of carbon, with diameters in the nanometer range. CNTs originate from graphite sheets, where the graphite layers resemble a rolled-up, continuous, and robust hexagonal mesh. These hexagons have carbon atoms at their vertices. The fabrication of CNTs typically involves …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 24–31 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Unveiling the Silent Threat: The Escalation and Defence Against Antibiotic Resistance
Abstract: The global challenge of antibiotic resistance presents a significant risk to public health, driven by multifaceted factors worldwide. This issue, akin to the impacts of climate change, requires concerted efforts at national and international levels to mitigate its consequences. Antibiotics have revolutionized modern medicine, enabling critical interventions like surgeries, transplants, and cancer treatments. However, without global collaboration, we face significant setbacks across medical, social, and economic domains. Initiatives to address …
Published in International Journal of Antibiotics · Vol. 2, Issue 2, 2025 · pp. 1–26 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Smart Solar Garage with PSO-Based Optimization for Energy and Vehicle Performance
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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Development and Evaluation of a Cost-Effective UV-Protective Cream Containing Para-Aminobenzoic Acid and Aloe Vera for Indian Climatic Conditions.
Abstract: The increasing incidence of ultraviolet (UV) radiation-induced skin disorders has heightened the demand for effective, affordable photoprotective agents, especially in countries with high sun exposure such as India. This study aimed to develop a cost-effective and efficient UV-B protective cream formulation suitable for populations in Indian latitudes. Para-aminobenzoic acid (PABA) was selected as the primary sunscreening agent due to its high UV-B absorption efficiency, low toxicity, and affordability compared with …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 7–18 Read article
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Advancement in Biodegradable Equipment for Flexible and Sustainable Electronics
Abstract: Biodegradable electronics are a quickly developing area focused on reducing the environmental impact of traditional electronic waste by using materials that can break down naturally after use. These devices use eco-friendly polymers, nanocomposites, and bio-based materials that maintain electrical function temporarily before safely decomposing. Recent developments show the potential of plant-based polymers, conductive biodegradable composites, and transient materials that support flexible and wearable applications without causing long-term harm to the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 32–37 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 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
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Postbiotics Unveiled: Mechanistic Insights and Therapeutic Implications in Obesity.
Abstract: The burgeoning global obesity epidemic necessitates innovative therapeutic approaches, and postbiotics, bioactive compounds arising from microbial fermentation, have emerged as promising contenders in reshaping obesity management. This comprehensive review explores the multifaceted mechanisms by which postbiotics impact obesity, from modulating gut microbiota composition to influencing metabolic pathways and enhancing energy expenditure. The exploration of postbiotics is rooted in a deeper understanding of the gut–brain axis and bidirectional communication between gut …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 11–28 Read article
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Design and Analysis of Thermoelectric Dc boost converter
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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Dermatophytoses: Taxonomy, Pathogenesis, Diagnosis, Resistance, and Management.
Abstract: Dermatophytes, belonging to the family Arthrodermataceae, are keratinophilic fungi responsible for superficial mycoses. Dermatophytoses affect the skin, hair, and nails globally. Over the last few years, dermatophytic infections have seen a sharp rise in India, with the main causative agent being antifungal-resistant Trichophyton mentagrophytes genotype VIII. This review provides a detailed overview of dermatophytoses, including taxonomy, pathogenesis, epidemiology, diagnosis, and treatment. Dermatophytes belong to the kingdom Fungi, family Arthrodermataceae, with …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 28–37 Read article
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 Read article