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956 articles for “additives”
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Automatic Vehicle Accident Detection and Reporting with a Blackbox
Abstract: The development and deployment of digital driving technology for a semi-autonomous vehicle is the main goal of this project. Enhancing the driver-vehicle interaction and adding black box functionality are the objectives. The system utilizes an Arduino-based data acquisition system, converting analog control data to digital format and displaying it on an LCD. Communication occurs via embedded networking using the CAN protocol, ensuring efficient data transfer. The system also collects feedback …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 21–30 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Structural Behavior and Fire Resistance of Shallow Steel-Concrete Composite Decks
Abstract: This study investigates the structural behavior and fire resistance of Shallow Steel-Beam-Concrete Composite (SSCC) decks, focusing on the influence of various Steel-Concrete (SC) bonding techniques. SSCC decks combine steel beams with concrete slabs, offering structural efficiency and durability under significant loads. The effectiveness of SC bonding methods is evaluated by comparing experimental results to Full Composite Action (FCA) simulations. Fire resistance in shallow floors, particularly SlimFlor systems, is analyzed using …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 2, 2024 Read article
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Serverless Computing: The Evolution of Cloud Infrastructure
Abstract: A form of cloud computing known as serverless computing has brought about a change in the way cloud development and deployment are carried out. An era that is now known as “post-container” has been brought about because of a new idea that has developed from cloud computing. Software developers can devote their attention to building code and business logic rather than managing infrastructure when they use serverless computing. Serverless computing …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 48–60 Read article
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Advancing Circular Economy in the Water Sector: A Comprehensive Review and Assessment
Abstract: ABSTRACT The unprecedented pace of urbanization and the rapid depletion of natural resources have prompted policymakers and industry leaders to transition from the traditional linear “take-make-use-dispose” model to a more sustainable and regenerative approach known as the Circular Economy (CE). The CE model emphasizes resource conservation through strategies that prioritize reducing, reusing, recycling, and recovering resources, aiming to minimize waste and extend the lifecycle of materials within economic systems. This …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 23–33 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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The Study of Magnetic Properties and Applications of II–VI Diluted Magnetic Semiconductor, Zn1–xMnxO Nanoparticles
Abstract: Ferromagnetism in II-VI diluted magnetic semiconductor, Zn1-xMnxO is studied. The magnetic behavior of this Diluted Magnetic Semiconductor (DMS) is determined by using the Heisenberg and the Green’s formalism. Heisenberg’s Model describes the Hamiltonian of the system in terms of spin density and excitons. In the same way, Green’s theorem is used for calculating magnetic quantities. These theorems are employed to estimate the origin of ferromagnetism in Zn1-xMnxO nanostructures. For spin- …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 47–55 Read article
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A Comprehensive Study of ZnxFe2–xO3 Nanocomposite for the Applications of Medical, Photocatalytic, and Solar Cells
Abstract: ZnxFe2–xO3 nanoparticles and composites are a focus area of research in nanotechnology, biotechnology, and material engineering. The functional properties of these nanomaterials depend on the scientific method of synthesizing and characterizing procedure. In this study, greater attention is invested on biological synthesis of ZnxFe2–xO3 nanoparticles and nanocomposite. For in vivo or in vitro study, properties, such as biocompatibility, reactivity, bio sensitivity, photosensitivity, and biodegradability are considered. Besides, the Ferrofluid and …
Published in International Journal of Composite and Constituent Materials · Vol. 10, Issue 2, 2024 · pp. 44–51 Read article
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Recent Trends and Innovations in Energy Efficiency: The Role of AI and Advanced Technologies in Revolutionizing the Energy Sector
Abstract: This comprehensive review delves into the recent trends and innovations shaping the landscape of energy efficiency. From the widespread adoption of energy-efficient appliances to the integration of advanced energy management systems, significant strides have been made in reducing energy sconsumption and mitigating environmental impact. The paper explores the pivotal role of energy storage solutions in enabling a more sustainable energy future, highlighting the advancements in battery technology, grid-scale storage, and …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 8–16 Read article
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The Role of Metallurgy in Modern Building Retrofits: Achieving Energy Savings and Sustainability
Abstract: Building retrofits have become a pivotal strategy in enhancing energy efficiency and sustainability in existing structures. As global emphasis on environmental sustainability intensifies, retrofitting older buildings to meet contemporary energy standards has gained prominence. This article examines the influence of metallurgical and materials science innovations on recent energy-saving trends in building retrofits. It explores advanced Heating Ventilation and Air Conditioning (HVAC) systems, highlighting how high-performance alloys and materials improve efficiency …
Published in International Journal of Metallurgy and Alloys · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Impact of Nanotechnology on Battlefield Welfare: A Study
Abstract: The concept of the impact of nanotechnology on battlefield welfare presents an innovative and forward-thinking perspective on military medical applications, emphasizing the profound implications of this field on soldier safety, health, and recovery. In recent years, advancements in nanotechnology have paved the way for revolutionary changes in how we approach battlefield medicine, and these abstract captures the essence of these innovations. The impact of enhanced medical solutions utilizing nanotechnology on …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Relative Accuracy of Diagnostic Methods in Verification of Gonadal Status of Dogs Considering Anti-Mullarian Hormone as a Biomarker
Abstract: The study was carried out to demonstrate relative efficacy of various methods to ascertain gonadal status in dogs. Based on different diagnostic methods viz., history and clinical signs, physical examination and ultrasonography, 37 (21 male and 16 female) dogs were categorised into different groups. Group I- gonadectomised dogs (n=10; Male-5 Female-5), Group II - intact dogs before and after gonadectomy (n=16; Male-8 Female-8), Group III-dogs with ovarian remnant syndrome (ORS) …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Resource Allocation Optimization in Cloud Services: Evaluating Task Scheduling and VM Placement Techniques
Abstract: Cloud computing has emerged as a promising computing paradigm to provide scalable quality of service, enabled services that are delivered over the internet. The infrastructure as a service model depends heavily on virtualization, which is the vital concept for centralized resource allocation in cloud computing. Resource allocation in cloud computing is basically performed through with the help of task scheduling as well virtual machine placement. Cloud service provider selects correct …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 6–14 Read article
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A Correlational study to assess the psychological impact on quality of life among alcoholics at tertiary care teaching hospital kuppam
Abstract: Background of the study The purpose of this study is to assess the psychological impact on quality of life among alcoholics and to find out the correlation between depression, anxiety, stress and quality of life among alcoholics. Aim: of this study is to assess the psychological impact on quality of life among alcoholics at tertiary care teaching hospital Kuppam. Methods: Research Approach: A descriptive correlational research design employs a quantitative …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 2, 2024 · pp. 7–21 Read article
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Multifunctional Composite Materials: Innovations AndApplications
Abstract: The development of multifunctional composite materials has revolutionized various industries byintegrating multiple functionalities into single material systems. These advanced composites, designedto perform more than one function, offer significant advantages in terms of performance, efficiency,and sustainability. This paper explores the latest innovations in multifunctional composite materials,focusing on their design, fabrication, and diverse applications. Innovations in this field have led to thecreation of composites that combine structural integrity with additional capabilities such …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 28–34 Read article
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Performance Enhancement of Cold Mix Asphalt via FlyAsh Substitution: Marshal Stability Results
Abstract: This study examines the enhancement of cold mix asphalt (CMA) performance through the substitution of fly ash at varying percentages. Specifically, Marshal stability tests were conducted on CMA mixtures with fly ash content of 0%, 2.5%, 5%, and 7.5%. The results reveal a significant increase in peak loads, with the CMA mixture containing no fly ash achieving a peak load of 0.62 kN, while mixtures with 2.5%, 5%, and 7.5% …
Published in International Journal of Polymer Science and Engineering · Vol. 10, Issue 1, 2024 · pp. 16–21 Read article