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919 articles for “Comparative performance”
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Integrating Electromechanical Cooling with Thermoelectric System for Enhanced Cooling Efficiency
Abstract: To improve cooling efficiency, a wide range of cooling systems have been studied. This article investigates the combination of thermoelectric and electromechanical air conditioners to maximize cooling performance. Electromechanical cooling methods, such as vapor compression refrigeration, have traditionally dominated cooling applications due to their high efficiency and reliability. However, these systems face challenges related to environmental impact and scalability. Thermoelectric cooling, by contrast, offers advantages like compact size, silent operation, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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Nano- Catalysts for Enhanced Performance in Hydrogenation Reactions
Abstract: The development of nano-catalysts has revolutionized the field of hydrogenation reactions, offering unparalleled efficiency and selectivity. This study explores the synthesis, characterization, and application of novel nano-catalysts designed to enhance hydrogenation processes. By leveraging advanced materials science techniques, we have engineered catalysts with precisely controlled particle sizes, shapes, and surface properties. These nano-catalysts exhibit remarkable activity and stability, attributed to their high surface area-to-volume ratios and unique electronic structures. Our …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 22–27 Read article
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Composite Fluid Hydraulic Lift
Abstract: In the industrial application hydraulic lifts have a variety of applications on a massive scale. As the energy resources required for the operation are relatively high as compared to the output provided by lifts, there is an alarming rate to optimize the process. So, to bridge the gap we have come up with an innovative and exclusive fabrication of the hydraulic lift systems based on the use of Composite Fluids …
Published in Recent Trends in Fluid Mechanics Read article
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Navigating Polymer Processing: Advances, Challenges, and Future Horizons
Abstract: Polymer processing and composite manufacturing stand as crucial pillars in modern industry, facilitating the creation of materials tailored to specific requirements. This abstract delves into the multifaceted realm of techniques and methodologies governing these processes, essential for ensuring the delivery of materials endowed with desired properties and functionalities. A meticulous examination of extant literature forms the foundation, shedding light on the evolving landscape, challenges encountered, and promising avenues ahead. Traditional …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 179–192 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Passive Augmentation Studies in a Double Pipe Heat Exchanger with Ellipsoidal Dimples
Abstract: In this work, the numerical studies of heat transfer augmentation of a counter-current double pipe heat exchanger with ellipsoidal dimples (inward-facing, raised dimples) on the inner tube was performed using SOLIDWORKS software. The effect of dimple depth, dimple pitch and number of dimples/angles between two dimples on heat transfer was investigated at a constant volumetric flow rate of 4 LPM for hot (water) and cold (water) fluids. The effect of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Development and Mechanical Characterization of Hybrid Natural Fiber-Reinforced Polymer Matrix Composites for Structural Applications
Abstract: The growing demand for sustainable, lightweight, and cost-effective materials in engineering has driven significant interest in natural fiber-reinforced polymer composites (NFRPCs). Among various options, hybrid composites combining two or more natural fibers offer a balanced improvement in mechanical properties while maintaining environmental benefits. This study investigates the fabrication and mechanical performance of jute–hemp fiber-reinforced epoxy composites. Specimens were prepared using the hand lay-up technique followed by compression molding to ensure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1181–1189 Read article
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Comparative Review of Innovations in Self-Compacting Concrete (SCC) Technologies
Abstract: Self-compacting concrete (SCC) is a revolutionary material in contemporary construction, with better workability and lower labor requirements without any sacrifice in strength or durability. The latest advances have been in terms of furthering its environmental and performance attributes by using different materials and methods. One of them is substituting ordinary Portland cement with high-volume fly ash and calcined calcium carbonate (BCC), cutting CO₂ emissions by as much as possible while …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 99–103 Read article
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Fabrication and Analysis of Al 7075 Based Metal Matrix Composites - A Review
Abstract: Aluminium 7075 alloys are extensively used in aerospace, marine, aviation, and automotive industries due to their superior mechanical properties, high strength-to-weight ratio, and low density. However, to further enhance their performance, aluminium-7075 metal matrix composites (AMMCs) are developed by incorporating various reinforcements. This paper focuses on the influence of reinforcements on the mechanical, tribological, and corrosion behavior of AMMCs. The study examines fabrication techniques, particularly the stir casting method, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 1–12 Read article
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Sustainable Electric Vehicle Development: The Role of Recyclable Polymers and Composites
Abstract: Electric vehicles (EVs) represent a pivotal shift toward sustainable transportation and climate change mitigation. In India, the transition to EVs is driven by government policies, technological advancements, and growing environmental awareness. However, the sustainability of EVs extends beyond their operational efficiency to the materials used in their construction. This paper explores the role of recyclable polymers and composites in enhancing the sustainability of EVs in India. The study highlights the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 16–28 Read article
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Selection of Appropriate Porous Material for Designing and Developing Hybrid Absorptive Muffler: A Wave 1-D Based Approach
Abstract: In this study, glass wool and rock wool are used as sound-absorbing materials to assess the sound transmission loss (STL) of hybrid absorptive mufflers. Improving the muffler's acoustic performance and assessing how well these materials attenuate noise are the main goals. Rock wool, which offers greater thermal resistance and broader frequency absorption, is contrasted with glass wool, which is renowned for its lightweight construction and high-frequency absorption. Wave 1-D simulation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 148–160 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Control System Operational Protocol for Dual DC Electric Motor Configuration in Electric Vehicles
Abstract: This paper is focused on the analysis of the performance of DC electric motor for electric vehicles (EV) in urban and intercity routes. The paper analyzes the different driving conditions in both types of routes reproducing the most current situations and how they influence the electric motor performance. The study is focused on a dual electric motor configuration, series and parallel, which equips an electric vehicle prototype, evaluating the power …
Published in Journal of Mechatronics and Automation Read article
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Polymer-Nanowire Hybrid Composites Based on PEDOT: PSS and AgNWs for High-Performance Conductive Films in Flexible Devices
Abstract: The growing demand for flexible photovoltaic and wearable optoelectronic devices has intensified research into polymer-based conductive composites that provide transparency, flexibility, and electrical efficiency. In this work, we report the fabrication and characterization of a hybrid polymer nanocomposite electrode comprising silver nanowires (AgNWs) embedded within a PEDOT:PSS matrix, deposited on flexible polyethylene terephthalate (PET) substrates. The PEDOT:PSS polymer phase, modified with 5 vol% dimethyl sulfoxide (DMSO) and 0.1 vol% Zonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 236–250 Read article
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Design of Integrated DC/DC Converter Topology for Hybrid Vehicle
Abstract: Hybrid vehicles traditionally rely on separate DC/DC converters for both the battery and fuel cell, which often leads to increased size, higher costs, energy losses, and limited performance. This paper presents an improved solution: a compact, integrated DC/DC converter with a non-isolated, multi-port design. This new approach simplifies the system by combining the fuel cell and battery into a single, unified converter, reducing the typical drawbacks of conventional designs. The …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 25–31 Read article
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Development of Polymer Based SRAM Cell with Enhance Low Power Performance
Abstract: Low-power memory technologies are in high demand with the rapid growth of portable electronics and energy-efficient computing systems. Static random-access memory (SRAM) plays a crucial role in processors, cache memories, and system-on-chip applications due to their speed and reliability. Static Random Access Memory (SRAM) is typically implemented using complementary MOS (CMOS) technology, which integrates both PMOS (P-channel Metal–Oxide–Semiconductor) and NMOS (N-channel Metal–Oxide–Semiconductor) transistors. However, as technology scales to deep submicron …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1439–1448 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article