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478 articles for “feed system”
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Dynamic Priority-based Adaptive Scheduling (DPAS) for Modern Operating Systems
Abstract: Dynamic Priority-based Adaptive Scheduling (DPAS) is an innovative CPU scheduling algorithm designed to optimize system performance and resource utilization in modern computing environments. As computing systems become increasingly complex and diverse, traditional static scheduling algorithms often struggle to adapt efficiently to the dynamic nature of workloads. DPAS addresses this challenge by introducing a dynamic and adaptive approach to process prioritization and resource allocation. DPAS leverages real-time feedback, machine learning, and …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 6–15 Read article
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Smart Biopolymer–PCM Composite Modules with Embedded Wireless Thermal Sensing for Autonomous Energy Storage Applications
Abstract: The development of multifunctional polymer composite systems for intelligent thermal energy storage has gained significant attention due to the increasing demand for sustainable and autonomous thermal management technologies. In the present study, a wireless-integrated biopolymer–phase change material (PCM) composite module embedded with thermal feedback sensors was successfully fabricated and experimentally investigated for advanced thermal energy storage applications. Polylactic acid (PLA) was employed as the biodegradable polymer matrix, while paraffin wax …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 193–205 Read article
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Medically Important Hemiptera: Bed Bugs and Kissing Bugs in Human Health.
Abstract: Bed bugs (family Cimicidae) and kissing bugs (subfamily Triatominae) are hematophagous Hemiptera of major medical importance, yet they differ markedly in their public health impact. Bed bugs have resurged globally over the past three decades, with infestations reported from homes, multi-unit housing, hotels, transportation, and healthcare facilities in both high and low-income settings. They are not established biological vectors of human pathogens, but their bites cause pruritic papules, urticarial, and …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 41–49 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Drones in Precision Livestock Farming: Advancing Health, Welfare, and Resilience in Dairy Production Systems
Abstract: The integration of drone technology in precision livestock farming represents a transformative advancement in modern dairy production systems. Drones offer innovative solutions for monitoring, managing, and optimizing livestock health, welfare, and productivity while addressing challenges related to environmental sustainability and resource efficiency. This study explores the diverse applications of drones in dairy farming, including health monitoring, disease detection, reproductive assessment, and real-time herd tracking. By leveraging thermal imaging and advanced …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 16–25 Read article
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Plc Hmi base testing machine data loger with usb excel data export
Abstract: The PLC-HMI-based testing machine data logger is designed to acquire, process, and log real-time sensor data using a PLC analog input card. This system is developed for industrial applications requiring accurate measurement, monitoring, and data storage. The setup integrates an HMI (Human-Machine Interface) for visualization and control, while a USB-based Excel data export feature ensures efficient data management. The system incorporates four key transducers: 1. Water Flow Sensor – Measures …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 47–54 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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Diet-Driven Enhancement of Immune Resilience, Disease Resistance, and Performance: Mechanistic Insights, Nutritional Interventions, and Implications for Sustainable Dairy Development
Abstract: This review synthesizes current knowledge on how dietary strategies can strengthen immune resilience, improve disease resistance, and enhance productive performance in dairy systems while advancing sustainable development. Immune function in dairy cattle is profoundly influenced by nutrition, with energy, protein, essential amino acids, fatty acids, vitamins, minerals, and bioactive compounds playing critical roles in shaping both innate and adaptive immune responses. Suboptimal nutrition impairs immune competence, increases susceptibility to infectious …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 15–24 Read article
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Recombinant Proteins and Nested Gene Regulation: Nutrient Driven Immune Response and Disease Resistance in Livestock
Abstract: Livestock production systems are increasingly challenged by infectious diseases, metabolic disorders, and environmental stressors that reduce productivity and compromise animal health. Advances in molecular biology and animal nutrition now offer new opportunities to strengthen disease resistance through integrated strategies that combine recombinant protein technologies, gene regulatory mechanisms, and nutrient mediated immune modulation. This review examines how recombinant proteins and nested gene regulation interact to shape nutrient driven immune responses in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 84–97 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Smart Bank Locker Security System
Abstract: This paper introduces a smart bank locker security system that aims to improve the reliability and security of locker access in banks. The system has a Raspberry Pi 4B as the controller, with face detection and fingerprint scanning used for dual-factor authentication. The fingerprint scanner and facial recognition unit identify the user's identity prior to access. After successful verification, a relay is triggered to open the locker. A liquid crystal …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 31–36 Read article
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Cost-Effective Conversion Techniques of Scrap Bicycles into Intelligent Electric Bicycles: A Review
Abstract: Over the past few years, there has been an overwhelming increase in requirement of sustainable and affordable urban mobility solutions both due to the environmental concerns along with the rising fuel prices and urban traffic jams. Electric bicycles (e-bike) have become an efficient option as a substitute to traditional modes of transport which are similar to conventional tools since they have low emissions and are energy efficient as well as …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–40 Read article
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Electric Scooty Purchasing Recommendations Using Customer Review
Abstract: As environmental awareness and sustainable practices have grown, E-scooters, often known as electric scooters, have gained popularity as a replacement for traditional automobiles. This research focuses on developing a recommendation framework for purchasing e-scooters, leveraging customer reviews as the primary data source. By analyzing reviews from diverse platforms, the framework aims to identify critical factors influencing customer satisfaction, including performance, battery life, design, comfort, and cost-efficiency. When we are considering …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 92–102 Read article
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Hybridizing Principle of TOPSIS with Regression Metamodel Approach for the Optimization of CNC-WEDM Process Parameters
Abstract: Experiment is conducted on a Computer Numerical Control wire electric discharge machine under different conditions of process parameters. The experiment is carried out by using Aluminum Alloy AA6061 as a work material and a Brass wire as a cutting tool in CNCWEDM. This paper aims to develop a combination of DOE and Entropy based TOPSIS to solve multi response parameter optimization problems. An experimental investigation was carried out based on …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 18–25 Read article
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Automatic Pet Feeder: A Review & Proposed Solution
Abstract: AbstractPets have been a very special part to many of our lives. We are very much emotionally attached to our pets be it dogs, cats or any other. We take utmost care when it comes to the breeding of our pets be it their diet, their clothing, their hygiene etc. The major problem arises in upbringing of pets when owners have to go out of station for some reason or …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 16–19 Read article
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Studies on Waste Water Treatment in Three Phase Semifluidized Bed Bioreactors: Computer Aided Analysis and Software Development
Abstract: Design and performance analysis of three phase semifluidized biofilm reactors for aerobic treatment of industrial effluents have been attempted. Bioconversion processes that follow Monod-type kinetics and those following Haldane-Andrews kinetics (involving substrate inhibition to microbial growth) have been considered as typical cases. The bioreactor has been modelled mathematically by solving performance equations separately for the packed section and for the fluidized section, considering dispersed flow in both of these sections, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 7, Issue 1, 2016 · pp. 1–21 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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Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article