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813 articles for “operational efficiency”
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Low-Weight, High-Durability Crankshaft Development Using Glass Fiber Composites: Numerical and Experimental Investigations
Abstract: The present paper aims towards the weight reduction of crankshaft by replacing conventional medium carbon steel for a two-wheeler with composite material. The replacement is such that it significantly reduces load on other components without compromising structural integrity. It will also serves in terms of operating reliability or durability over its life span. A geometric specifications and dimensions were obtained using a 3D CAD model developed in CATIA V5. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
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Development of a Polymer-Encapsulated IoT-Based Sensor for Thermal and Electrical Protection of EV Batteries
Abstract: Electric Vehicles (EVs) mark a critical shift toward sustainable transportation, with Battery Management Systems (BMS) playing a vital role in ensuring battery safety, reliability, and efficiency. The proposed BMS in this project incorporates real-time charge monitoring, temperature sensing, and fire detection capabilities to address safety concerns associated with lithium-ion batteries. Key features include current and voltage tracking, State of Charge (SoC) estimation, fault detection, and a user-friendly LCD interface. By …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 582–591 Read article
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A Study on Precision Blood Propulsion in Motor-Driven Artificial Hearts
Abstract: The development of biocompatible, energy-efficient pumping mechanisms is pivotal for advancing artificial heart (AH) technology. This study explores a motor-driven centrifugal pump designed to replicate the physiological dynamics of natural ventricles while mitigating complications associated with conventional axial and pulsatile systems. The proposed system employs a brushless DC motor with closed-loop control, integrated with pressure and flow sensors to modulate rotational speed (RPM) and generate biomimetic cardiac output. The suggested …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 53–59 Read article
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Review on Severe Plastic Deformation Techniques for Bulk Materials: Deformation Behavior and Properties
Abstract: This paper presents a detailed review of the efficient application of Severe Plastic Deformation for the fabrication of ultra-fine-grained and nanostructured crystalline bulk materials. Severe Plastic Deformation allows substantial grain refinement while largely preserving the original dimensions of the workpiece, making it especially suitable for ductile materials capable of sustaining very high strains under elevated hydrostatic pressure prior to failure. The study investigates the grain refinement mechanisms involved in Severe …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 40–72 Read article
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Structures and sensors of Polymer Optical Fibers for Last Mile Networks
Abstract: Originating from distinct concepts for transferring information, sensing, or lighting efficiency, fiber characteristics vary greatly throughout their range. A substantial bandwidth-length product with acceptable attenuation characteristics is required for effective transfer of information. Since sensor fibers are typically used over short distances having considerably lower attenuation prerequisites. This paper presents polymer optical fiber (POFs) structures that are used as sensors over conventional fiber optics.An even broader spectrum of optical characteristics …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 166–172 Read article
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Influence of Epoxy-Based Thermally Conductive Polymer Composites on the Thermo-Hydraulic Performance of Finned Helical Coil Heat Exchangers Across Flow Regimes
Abstract: The use of polymer composites in heat exchanger applications has gained increasing attention due to their advantages in weight reduction, corrosion resistance, and design flexibility. However, their relatively low thermal conductivity compared to conventional metallic materials remains a key limitation for efficient heat transfer. In this study, the thermo-hydraulic performance of a finned helical coil heat exchanger is investigated with particular focus on epoxy-based polymer composites reinforced with thermally conductive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 586–602 Read article
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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article