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178 articles for “control algorithms”
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Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials
Abstract: Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 90–107 Read article
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Comparison of Various Load Balancing Algorithms in Cloud Computing
Abstract: The components associated with distributed computing are customers, datacenter and appropriated server. One of the principal issuesin distributed computing isload adjusting. Adjusting the heap intends to circulate the outstanding task at hand among a few hubs uniformly so no single hub will be over- burden. Burden can be of any kind that is it very well may be CPU load, memory limit or system load. Right now, introduced a design …
Published in Recent Trends in Parallel Computing Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Design Strategies of Polymer Composite Components for Sustainable Renewable Energy Microgrids
Abstract: Increasing power demand and variable performance requirements in renewable-energy systems motivate integrating advanced polymeric and composite materials into microgrid components to improve reliability and performance. This paper presents a design and control framework for a standalone microgrid that couples power-electronic and energy-conversion subsystems with polymer-composite–based components to enhance durability, thermal management, and electromagnetic shielding. The microgrid uses a doubly fed induction generator (DFIG) for wind generation to enable independent active …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 63–71 Read article
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Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality
Abstract: This research paper presents the development and integration of a bionic arm that leverages both hardware components and artificial intelligence (AI) models for enhanced functionality and user interaction. The hardware design includes key components such as servo motors, an Arduino UNO microcontroller, electromyography (EMG) sensors, and a lithium-ion battery. The EMG sensors detect muscle signals, which serve as inputs for controlling the arm's movements, while the servo motors are responsible …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Autonomous Infection Control System
Abstract: Escalating problems arise mainly at hospitals due to transmission of microbes through air, which causes life threatening situations. Doctors, nurses and other members are more vulnerable to diseases from within the place. PPE kits and other disinfecting procedures require an in-human presence to do the work, which makes it more challenging and puts the person's life at risk. In current scenarios, human presence is required for sanitising and cleaning procedures, …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 Read article
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Collaborative Code Editors: Advancements, Challenges, and Future Directions
Abstract: In recent years, collaborative code editors have become essential tools in software development, particularly for globally distributed teams. These platforms enable multiple developers to work together in real time, boosting productivity and facilitating seamless knowledge sharing. This survey investigates core technologies that drive collaborative code editors, including WebSocket communication and operational transformation, while highlighting significant challenges such as latency, conflict resolution, and scalability. By examining existing solutions and evaluating various …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 07–11 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Battery Management System (BMS)
Abstract: This review of the literature delves into the changes, structure, and the latest BMS (Battery Management Systems) technologies implemented in electric vehicles, smart grids, and energy storage, respectively. The studies emphasize the need for accurate battery modeling, advanced estimation algorithms, robust hardware design, and safety regulations. The research describes how contemporary BMSs perform integration of modeling, monitoring, control, cell balancing, and diagnostics in order to facilitate safe and energy- efficient …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 32–43 Read article
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Defense Security Shield for Military Application
Abstract: The paper delivers a defense security shield, which is an innovative system aimed at enhancing military border security through the implementation of cutting-edge technology. Leveraging the capabilities of Raspberry Pi 4B, a camera module, servo motor, and buzzer, this system operates as an automatic aiming gun, designed to detect and respond to potential threats. The core functionality is driven by sophisticated person detection algorithms, ensuring accurate identification, and tracking of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 14–24 Read article
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Enhancing Control with Embedded Ssvep-Bci
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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Gesture-Based Virtual HCI: Enhancing Computer Interaction
Abstract: In a time when human-computer interaction (HCI) is changing quickly, generating user-friendly interfaces is essential. This paper presents a new technique to HCI using virtual mouse and keyboard systems based on gesture recognition. This system replaces classical input devices by permitting users to control their computers with hand gestures using computer vision techniques. We created an optical mouse and keyboard technique that can recognize hand gestures recorded by a regular …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Advanced Airline Operations Control System Using NodeJS
Abstract: This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS's event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 45–51 Read article
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Automatic Railway Horn System Using Node MCU
Abstract: The Automatic Railway Horn System (ARHS) presented in this project employs techniques to dynamically adjust the frequency of the train horn based on various parameters such as train speed, proximity to crossings, and other safety considerations. Traditional railway horn systems often lack adaptability and may not adequately address changing environmental conditions. The proposed ARHS aims to enhance safety and minimize noise pollution by intelligently modulating the horn frequency in real-time. …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 11–19 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Analyzing And Predicting the Battery Health of Battery Energy in EV’s
Abstract: The most widely used energy storage components in products like electric cars, portable electronics, and energy storage systems are lithium batteries. On the other hand, if lithium batteries are not regularly checked, they may perform worse, have a shorter lifespan, or even explode or cause serious harm. Our proposal is to develop a state of health monitoring system for lithium batteries and an algorithm for estimating the state of charge …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Innovative Secure Public Ration Distribution Using Machine Learning
Abstract: The proposed system aids in controlling malpractices that are present in ration shops by replacing manual work with automatic systems based on machine learning. The ration distribution system is automated by using machine learning algorithms. Once the consumer is validated by password, the system will provide the customer information like how many people’s rations are permitted to their account, how many rations will be provided, and on which day the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 25–30 Read article