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210 articles for “iOS”
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Solar Wireless EV Charging System
Abstract: This project presents a Solar Wireless Electric Vehicle (EV) Charging System that integrates solar energy with inductive wireless power transfer (WPT) to achieve a sustainable and eco-friendly charging approach. The proposed system utilizes a 12V solar panel as the primary renewable energy source, which charges a 3.7V lithium-ion battery through a transistor-based control circuit. This stored solar energy then powers the primary coil, generating an alternating magnetic field that enables …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 14–20 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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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Photoreceptor Dynamics: Light Sensing and Cellular Responses for Photochemistry
Abstract: Photoreceptor dynamics represent a fundamental aspect of photochemistry, encompassing the mechanisms by which biological systems detect and respond to light stimuli. Photoreceptors are specialized proteins that undergo structural and functional changes upon photon absorption, initiating a cascade of molecular events that translate light signals into cellular responses. These proteins are ubiquitous across life forms, including microbial rhodopsins, plant phytochromes, and animal opsins, each finely tuned to specific wavelengths and light …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 28–32 Read article
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Polymeric Coating Applied for Corrosion Protection of Mild Steel in Corrosive Medium
Abstract: Mild steel is coated with a polymer layer of polybutadiene for protection. However, this coating does not effectively safeguard the metal in environments containing moisture, sulphur dioxide, or chloride. These pollutants interact with the polybutadiene-coated surface, creating a highly corrosive atmosphere. Moisture condenses on the coated metal surface and absorbs sulphur dioxide, forming sulphuric acid. This acid initiates both chemical and electrochemical reactions with the polymer-coated metal, accelerating the corrosion …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 49–53 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Employment of Solid-State Technology in Sensor Design: A Study
Abstract: The rapid evolution of sensor technologies has been driven by the demand for more precise, durable, and compact systems to meet the needs of modern industries, healthcare, and consumer electronics. Solid state technologies have emerged as a transformative force in sensor design, offering unprecedented performance, reliability, and integration potential. Unlike traditional sensors, which often rely on mechanical, electrochemical, or piezoelectric principles, solid state sensors leverage the intrinsic properties of materials …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 31–41 Read article
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New trends in Radio Frequency design and making things smaller
Abstract: Recent improvements in wireless communication, the Internet of Things (IoT), and 5G/6G networks have made people want small, powerful radio frequency (RF) equipment. With an emphasis on how developments in materials engineering, circuit architecture, and packaging technologies are redefining RF system integration, this article offers a thorough evaluation of current developments in RF downsizing. System-on-Chip (SoC), System-in-Package (SiP), and Antenna-in-Package (AiP) ideas, which allow tightly integrated RF front-ends with enhanced …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 28–34 Read article
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Integrating RF Technologies for Robust Disaster Response and Recovery Systems
Abstract: In the aftermath of disasters, one of the greatest challenges is the failure of communication networks, which delays rescue operations and worsens human suffering. Radio Frequency (RF) technologies offer promising solutions as they enable wireless communication, sensing, and tracking without depending on fragile infrastructure. This paper presents a study of RF applications in disaster management and proposes a unique hybrid multi-layer framework that integrates environmental RF sensors, RFID-based tracking, drone-mounted …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 24–27 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Studying the effects of Exposure to Chemicals on The brain and Nervous System and The risk of Chemical Pollution
Abstract: Scientific research and studies on chemical pollution show that exposure of the brain and nervous system to chemicals causes serious damage ranging from cognitive, motor, and nerve cell disorders to chronic diseases such as Alzheimer's and neurological paralysis. These substances (such as lead ions, mercury, solvents that combine and dissolve easily in the blood, and pesticides) disrupt neurotransmitters and cause cell damage, especially during the early stages of body development. …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 Read article
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Synthesis of A Supercapacitor Based on Nanomaterials
Abstract: Demand for various energy storage technologies in electronic and electrical devices continuously goes on increasing. In that context, objective of this research work is to develop and test an electrode of a energy storage module (supercapacitor) using nickel hydroxide and carbon-based nanocomposite materials. Electrochemical performance of electrode is enhanced by optimizing synthesis parameters and designing the electrochemical cell. Conventional and all solid-state supercapacitors are developed with notable electrochemical performance. Pure …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 24–39 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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Smart Monitoring and Controlling of the Battery and Motor
Abstract: The demand for effective battery and motor monitoring and management to guarantee dependability, safety, and peak performance has increased due to the quick development of electric vehicles and smart industrial systems. The smart monitoring and control methods used in battery management systems and motor control systems are thoroughly reviewed in this paper. In addition to speed, torque, efficiency, and fault situations in motors, it emphasizes important characteristics like temperature, voltage, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 11–15 Read article
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Optimizing Nutrient Utilization and Microbial Protein Synthesis in Ruminants: Strategies for Enhanced Feed Efficiency and Sustainable Productivity
Abstract: This review investigates strategies to optimize nutrient utilization and microbial protein synthesis in ruminants, aiming to improve feed efficiency and enhance overall livestock productivity sustainably. It focuses on key aspects of feed formulation, including balancing non-structural carbohydrates with protein sources, incorporating bypass proteins, and selecting high-quality forages that improve fiber digestibility. The review examines various feed processing techniques such as steam-flaking, pelleting, and ammonia treatment, which enhance nutrient bioavailability and …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article