Search
1967 articles for “efficient” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Smart Trolley Billing System
Abstract: The Smart Trolley Billing System is an advanced automation solution designed to enhance retail efficiency by integrating IoT, embedded systems, and real-time data processing. Utilizing a GROW GM65 Barcode Scanner Module, Raspberry Pi 4, and a Capacitive Touchscreen display, the system streamlines checkout by capturing product data, dynamically updating a preloaded SQLite database, and displaying an itemized bill in real-time. Its Python-based software stack ensures efficient barcode processing, database management, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 29–36 Read article
-
Revolutionizing Optical Fibre Field Distribution with Linear Finite Element Method
Abstract: This study investigates the use of the linear Finite Element Method (FEM) for the analysis of the field distribution in optical fibres. Understanding the distribution of electric and magnetic fields is necessary to characterise fibre properties including mode profiles, propagation constants, and dispersion, all of which are essential for optimising fibre performance in a range of applications like sensing and telecommunications. This study emphasises on applying a linear FEM formulation …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 32–42 Read article
-
RFID Based Smart Trolley Billing System Using IoT
Abstract: Customers experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
-
Hyper Personalization Using AI: Elevate Fitness
Abstract: In the modern era, many individuals find it challenging to prioritize their health and well-being due to busy lifestyles filled with work, academic, and personal obligations. Conventional fitness and nutrition programs often apply uniform strategies that overlook individual differences in body type, preferences, and goals. This lack of real-time feedback and contextual customization often leads to poor user engagement and unsatisfactory results over time. Elevate is a comprehensive, AI-powered fitness …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 10–21 Read article
-
Smart HVAC Systems: The Role of IoT and AI in Energy Optimization
Abstract: Heating, ventilation, and air conditioning (HVAC) systems are crucial for maintaining interior comfort and air quality in all types of buildings. However, they also rank among the highest energy users in the built environment. Traditional HVAC systems are evolving into intelligent, networked systems through the integration of Internet of Things (IoT) and artificial intelligence (AI) technologies, as energy efficiency and sustainability become increasingly important across the globe. This review article …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
-
Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
-
Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
-
IoT-Based Adaptive Irrigation Solution for Smart Farming
Abstract: Facing escalating global challenges such as water scarcity and unpredictable weather conditions, precision farming emerges as a crucial solution for enhancing agricultural productivity and sustainability. This paper introduces a smart irrigation system which employs IoT-based technology, integrating sensors and a designed to enhance water efficiency and boost agricultural productivity. The system leverages live data related to soil moisture and temperature, cloud cover, and precipitation, coupled with a cloud-based infrastructure using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
-
Polymer–Gel Composite Phase Change Materials: A Functional Polymer Composite Approach for Solar-Thermal Energy Storage in Building Facades
Abstract: This study investigates polymer–composite phase change materials (PCMs) in the form of polymer–gel hybrids as multifunctional systems for solar–thermal energy storage in building façades. Paraffin- and PEG-based PCMs were embedded into polyurethane and acrylic gel matrices to create shape-stabilized polymer–composites with high PCM loading (70–80 wt%). Differential Scanning Calorimetry (DSC) confirmed distinct melting/freezing transitions at ~56°C (paraffin) and ~42°C (PEG), with enthalpy values of 120–150 J/g, closely matching theoretical predictions, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 36–51 Read article
-
A Survey of Role-Based Access Control Implementation in HMI Systems for Industrial Automation
Abstract: The convergence of Role-Based Access Control (RBAC) and Human-Machine Interface (HMI) systems presents a transformative approach to secure and efficient industrial automation in Industry 4.0. By integrating RBAC with Multi-Factor Authentication (MFA), this framework enhances cybersecurity while maintaining operational flexibility, mitigating both external threats and internal vulnerabilities. Modern adaptive HMIs further optimize user experience through personalized and intuitive interfaces, though challenges remain in balancing functionality with simplicity in complex industrial …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 10–19 Read article
-
A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration
Abstract: In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order. This project introduces the development of a Crime Management System (CMS) built with the MERN stack (MongoDB, Express.js, React, Node.js) to streamline crime reporting, monitoring, and coordination among law enforcement agencies. The CMS is designed to streamline the processes of crime reporting, record management, and data analysis, addressing inefficiencies in traditional …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 40–52 Read article
-
A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
-
Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
-
Dynamics of Prime Gap Sets: An Algorithmic and Set-Theoretic Approach
Abstract: In this paper, we present a theorem and an efficient algorithm for computing all prime numbers up to a given integer X. Our theorem establishes a relationship between the primes up to X and those up to (X+1)2, providing a theoretical foundation for the algorithm. The proposed method improves upon the traditional Sieve of Eratosthenes by dynamically eliminating multiples of primes using only the remaining numbers in the set, thereby …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 20–25 Read article
-
Advances in Membrane Technology: A Comprehensive Review of Materials, Processes, and Applications
Abstract: Membrane technology has become a critical platform for sustainable separation processes across water treatment, energy generation, chemical processing, and healthcare. Over recent decades, advances in materials, fabrication methods, and process design have dramatically expanded the performance, efficiency, and applications of membrane-based systems. Polymeric membranes dominate the industry due to cost-effectiveness and scalability, while ceramic, metallic, and composite membranes offer enhanced thermal and chemical resistance for specialized environments. Nanostructured and bio-inspired …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
-
Innovative Design and Implementation of PCD-Based Drawing Dies and Tungsten Carbide Molds for Automotive Fastener Manufacturing
Abstract: This study presents an integrated engineering investigation into the design, optimization, and implementation of advanced tungsten carbide and polycrystalline diamond (PCD) tooling technologies within the cold forging and wire drawing processes at Koobesh Kavir Semnan Company, one of Iran’s leading automotive fastener manufacturers. By combining powder metallurgy principles, material flow simulation, and experimental validation, this research introduces a technological advancement that improves productivity, tool longevity, and cost-efficiency in industrial production. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 16–26 Read article
-
Analysis aspects of pressure tank: A review
Abstract: This review paper presents a detailed analysis of pressure vessels, focusing on finite element analysis (FEA) to evaluate structural integrity. Pressure vessels are widely used in industries such as chemical processing, power plants, and oil refineries, where they are subjected to extreme temperature and pressure conditions. Ensuring their safe and efficient operation requires a thorough understanding of stress distribution, deformation characteristics, and failure mechanisms. This study reviews existing research on …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 49–55 Read article
-
Sustainable Membrane Technologies for Environmental and Industrial Applications: A Review
Abstract: Membrane-based technologies have become indispensable in addressing global environmental and industrial challenges, including water scarcity, pollution control, and energy efficiency. While conventional membranes provide high selectivity and process efficiency, their sustainability is limited by factors such as fouling, high energy consumption, and end-of-life waste management. Recent advances in material science, nanotechnology, and bio-inspired design have led to the emergence of sustainable membranes with improved durability, lower environmental footprint, and broader …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
-
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
-
Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article