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1813 articles for “performance optimization”
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Optimization of Machining Parameters of EN-27 Material Using Wire Electric Discharge Machining (WEDM)
Abstract: The optimization of Wire Electrical Discharge Machining (WEDM) parameters for EN-27 alloy steel, a high-strength material widely utilized in mechanical and structural applications, is the subject of this study's methodical analysis. Due to its hardness and poor machinability by conventional methods, WEDM is preferred for achieving precise dimensional accuracy and surface integrity. The primary objective of this work is to enhance machining performance by identifying optimal process parameters influencing Material …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 32–36 Read article
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Perspectives of 3D-Printed Polylactic Acid-Based Composites Reinforced with Natural Fibers
Abstract: The growing demand for sustainable and biodegradable materials has led to the development of polylactic acid (PLA)-based composites reinforced with natural fibers. This study investigates the mechanical, thermal, printability, and environmental performance of 3D-printed PLA/Natural Fiber composites, addressing key challenges in fiber-matrix compatibility, structural integrity, and biodegradability. Natural fiber reinforcement enhanced Young’s modulus and flexural strength, but excessive fiber content led to agglomeration, reduced tensile strength, and increased brittleness. Thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 649–664 Read article
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A Sustainable and Green Prototyping Framework for Low-carbon and Resource-efficient Virtual Product Development
Abstract: The increasing emphasis on sustainable manufacturing has intensified the need for environmentally responsible design and development methodologies for polymer and polymer-composite materials, where material selection, processing routes, and waste generation play a critical role in overall environmental impact. This paper presents a Sustainable and Green Prototyping (SGP) framework that integrates Virtual Prototyping (VP), Life Cycle Assessment (LCA), and multi-objective optimization to systematically reduce carbon footprint, energy consumption, and material waste …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 459–471 Read article
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Characterizing L-Band EDFA for WDM Optical Communication using Implicit Analytical Model
Abstract: ABSTRACT In this paper, some of the significant design parameters of L-band EDFA such as choice of optimum pump wavelength, optimum erbium-doped fiber (EDF) length, and optimum pump power have been characterized by solving implicit analytical signal gain equation using simulation as derived for C-band EDFA by F. F. Rühl. After determining optimum pump wavelength, optimum pump power and optimum EDF length, performance of L-band signal amplification has been shown …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 3, 2012 · pp. 8–16 Read article
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Recent Developments in Solar Photovoltaics and Thermal Hybrid Technology
Abstract: The electrical performance of solar PV panel decreases with increase in the panel/module temperature which is cause of concern in the summer season. To decrease the effect on electrical performance due to increase in module temperature, heat is extracted from the module and used as thermal energy. Heat exchanger or heat extraction device is put on the rear surface of the PV panel and working fluid or coolant is flowed …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 1, 2015 · pp. 14–34 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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A Review on Enhancement of Building Energy Efficiency Through Insulation
Abstract: This review examines the heat insulation properties of bricks, which are vital for enhancing energy efficiency in buildings. Bricks serve as a fundamental component in construction, and their thermal performance significantly impacts overall energy consumption. Recent advancements in brick manufacturing have led to the development of materials with improved thermal insulation properties. The incorporation of specific additives into brick composition has demonstrated notable improvements in their ability to resist heat …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 19–26 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 4, 2022 · pp. 1–10 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 1–10 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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A Review of Valley Tracing Mechanism for Implementation of Multiprogrammed Operating Systems
Abstract: This review examines the application of valley tracing mechanisms in the implementation of multiprogrammed operating systems. Multiprogrammed operating systems facilitate concurrent execution of multiple tasks, necessitating efficient resource allocation and scheduling to maximize system throughput and responsiveness. Valley tracing, a concept rooted in identifying and exploiting periods of decreased resource demand during program execution, offers a promising approach to optimize resource utilization and enhance system performance. The review begins by …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 36–41 Read article
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High-speed Data Converter Architectures: Latched Comparator Design & Performance Comparison
Abstract: This paper focuses on the design and optimization of latch comparators for high-speed data converter applications. The performance of different comparator architectures is compared in terms of speed, power consumption, and noise performance. The proposed latch comparator architecture uses a preamplifier to boost gain and sensitivity, and a latch to store the output signal. The latch comparator design is optimized for low power consumption and high speed, and is implemented …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 23–32 Read article
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Poisson’s Ratio in Stone Dust and Steel Fiber Reinforced Composite Concrete: A Theoretical Approach
Abstract: Poisson's ratio characterizes a material's deformation under load, offering insights into its structural behavior. Yet, there's a lack of research on SDSFC's Poisson's ratio, hindering its widespread adoption. This study aims to fill this gap by investigating SDSFC's Poisson's ratio under various curing conditions and material compositions. By analyzing how curing methods and material components influence Poisson's ratio, we can better comprehend SDSFC's behavior under different circumstances. Additionally, we'll explore …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 88–94 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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RTL-to-GDS Implementation of a High-Speed On-Chip 32:1 Serializer Using Open-Source Tools
Abstract: Exploring the RTL-to-GDS implementation of a high-speed on-chip 32:1 serializer, this study investigates the integration of open-source tools within VLSI design, emphasizing sustainable practices in the semiconductor industry while operating at the nanometer scale. Addressing methodologies for optimizing power consumption and chip area utilization, particularly focusing on efficient use of non-renewable resources. The study is set against the backdrop of advanced 7nm FinFET technology, critical for enabling efficient data transmission …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Green Pastures, Healthy Herd: The Intricate Interplay of Nutrition, Milk Yield, Reproduction, and Welfare in Dairy Cows
Abstract: The study explores the intricate interplay between green pastures, nutrition, milk yield, reproduction, and welfare in dairy cows, emphasizing the multifaceted benefits of pasture-based systems. Green grass serves as a natural, nutrient-rich feed source that supports optimal dairy cow performance by providing essential nutrients such as energy, proteins, vitamins, and minerals, which are crucial for high milk production. The natural grazing behavior associated with green pastures enhances rumen function, facilitating …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 51–66 Read article
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The Role of Polymer Chemistry in Developing a Novel Polymer-Based Retromolar Endotracheal Tube
Abstract: This study presents the development and characterization of a novel polymer-based modified endotracheal tube designed for retromolar intubation. The tube is manufactured using medical-grade polyvinyl chloride (PVC) with reinforced polymeric structures to enhance flexibility while maintaining lumen integrity. The incorporation of a preformed lateral curvature mitigates airway resistance and airflow reduction caused by manual bending, ensuring an optimal balance between rigidity and adaptability. Additionally, the integration of polymer-based ligature wires …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 14–20 Read article
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Psychometric Analysis of an Induced Cooling Tower in a Humid Condition
Abstract: An Induced Cooling Tower (ICT) is an energy transformation device that facilitates heat and mass transfer by leveraging ambient conditions. ICTs are particularly effective in applications requiring a large heat transfer surface area, utilizing evaporative cooling of ambient air to cool hot steam. The performance of an ICT is significantly influenced by ambient humidity and temperature, making these environmental factors critical in its design and operation. As such, ICTs are …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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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