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626 articles for “experimental results”
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Solar Light Photocatalytic Degradation of Methylene Blue and Methyl Orange Dyes by Ag-ZnO Nanocomposite
Abstract: A highly efficient silver-assisted ZnO nanocomposite was synthesized using the co-precipitation method, a technique that ensures a controlled and homogeneous formation of the composite material. The high purity of the synthesized nanocomposite was confirmed through detailed FTIR spectra analysis, which showed clear and distinct peaks corresponding to the functional groups present, indicating the absence of significant impurities. To evaluate the photocatalytic capabilities of the nanocomposite, a series of tests were …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 160–171 Read article
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Optimizing Routing and Placement of VLSI Circuits with Differential Algorithms and Neural Networks
Abstract: The performance of modern VLSI systems is heavily influenced by power constraints, necessitating precise power estimation and effective optimization techniques. Traditional methods, such as gate-level simulations, are often slow and computationally intensive. This paper introduces DRPENN (Differential Algorithm for Routing and Placement Optimization using Neural Networks), an innovative solution that combines a Switching Activity Estimator (SAE) with a neural network-assisted differential algorithm. By leveraging toggle rates from simulations to train …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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Integration of Vertical Axis Wind Turbines into Urban Environments: Feasibility and Design Considerations
Abstract: Abstract This study aims to comprehensively investigate the performance of Savonius rotor wind turbines through a combination of numerical simulations and experimental testing. Initially, 3-dimensional CAD software Solidworks and ANSYS will be utilized to design detailed models of the turbines. Numerical meshes will then be generated around these models using FLUENT software, incorporating the k-ε turbulence model to simulate fluid flow fields. Parameters such as drag coefficient, lift coefficient, pressure …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 20–25 Read article
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Sense Wear: Empowering Accessibility for the Visually Impaired
Abstract: “Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 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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Catalyst: Free Synthesis of Bioactive Molecules via Green Chemical Principles
Abstract: This study explores the catalyst-free synthesis of bioactive molecules, emphasizing the application of green chemical principles. Traditional synthetic methods often rely on hazardous reagents, solvents, and metal catalysts, which can pose significant environmental and health risks. In contrast, the catalyst-free approach leverages benign reaction conditions, such as solvent-free systems, ambient temperature, and pressure, to achieve efficient and selective transformations. We present a comprehensive investigation into various bioactive molecule syntheses, including …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 17–21 Read article
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Review Article on Biomedical Lubricant Hydrogels as Cartilage Substitutes
Abstract: This article underscores the increasing popularity of hydrogel lubricants in the biomedical domain and presents a comprehensive exploration of their potential as substitutes for cartilage. This understanding forms the foundation for the development of hydrogel-based lubricants that are designed to emulate these natural functionalities. Providing detailed insights, this article navigates through cutting-edge bio-inspired architecture techniques tailored to create hydrogels for cartilage. The emphasis is on achieving superior strength through diverse …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Fiber Reinforced Concrete (FRC) as Composite Material in Pavement
Abstract: Conventional bituminous pavements are extensively utilized across India, yet they face challenges such as limited impact resistance, low tensile strength, and brittleness compared to concrete alternatives. Despite concrete's superior strength and durability, it exhibits deficiencies in ductility, fatigue resistance, and ability to withstand substantial deformations. This research delves into the feasibility of fiber-reinforced concrete as a composite material for pavements, with a primary goal of extending the service life of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 137–143 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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A Novel Secure Cloud Storage Solution: Combining AES-OTP, RSA, and Time-Limited Access Control with Adaptive Key Management
Abstract: The reliance of cloud computing on the data processing and storage structure creates serious security risks. Ensuring availability, security, and integrity of data in cloud settings becomes a challenge for both the individual and the enterprise. This paper will, therefore, introduce a novel Hybrid Cryptographic Framework that combines RSA, One-Time Pad (OTP), and AES as a means of enhancing data security in cloud storage. It employs RSA for secure key …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
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Experimental Study on the Strength Enhancement of Carbon Fiber Reinforced GGBS Concrete
Abstract: This study provides an in-depth analysis of the experimental investigation conducted on carbon fiber reinforced GGBS concrete (CFRGC). The primary objective of the research was to evaluate the effects of carbon fibers on various mechanical properties of concrete, with a particular focus on strength parameters. In this study, the carbon fiber content was systematically varied from 0.5% to 1.5% by weight of cement, in increments of 0.5%, to determine the …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 36–50 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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Experimental and Numerical Studies on Radial Tensile Strength of Composite Rotor
Abstract: This paper describes the experimental and numerical studies on the radial tensile strength (RTS) of composite rotor. Carbon/epoxy composite rotors were fabricated using a filament winding process and their radial tensile strength was determined by diametric tensile testing of composite C-rings. The radial tensile strength of the composite rotor was measured as ~ 22 MPa and the failure was found to occur circumferentially symmetric about the horizontal plane of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 985–996 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article