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1938 articles for “UTS”
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Evaluating the Performance of a Smart VCR System Using Python for Data Analysis Based on IoT
Abstract: Commercial buildings use a significant amount of electricity, with around 60% to 80% being attributed to the HVAC system. Implementing IoT and smart sensors can help reduce this consumption by 10% to 30%. To lower the electricity usage of air conditioners, a study has proposed an IoT-based smart VCR system with sensors, meters, gateway, and cloud computing modules. This system is designed to collect data and regulate the VCR system …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 7–23 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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Modern Progress in the Advance of High-Efficiency Perovskite (CH3NH3PbI3) Solar Cell using different Hole Transport Layer
Abstract: One viable alternative for creating new clean energy is solar cells, although they might need additional energy sources. The affordable, easily accessible, and greenhouse gas-free nature of a renewable energy source are its defining characteristics. An alternative that can generate power by converting solar photons into electrical energy is a photovoltaic cell. Over the past 20 years, scientific advancements in photovoltaic technology have presented a number of real-world opportunities that …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 20–29 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article
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Li-Fi based Underwater Audio and Data Transmission System
Abstract: Visible Light Communication, or Li-Fi (Light Fidelity), is a wireless optical networking technique used for communication (VLC). Due to its lack of RF communication's drawbacks, such as water absorption and scattering, Li-Fi has the potential to completely transform underwater communication. This project suggests utilizing two Arduinos, a solar panel, a speaker, a display, an amplifier, a laser, a battery, and other components to create a Li-Fi based underwater audio and …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 23–29 Read article
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E-World: Battery Management system in E-cycle
Abstract: As e-cycles gain popularity for their eco- friendly transportation and convenience, understanding the dynamics of these key systems is crucial. The report explores various braking mechanisms, such as mechanical and hydraulic disc brakes, and explains their operational principles and safety implications. Additionally, it examines the technologies used for acceleration in e-cycles, focusing on motor types, control systems, and throttle mechanisms. By utilizing the battery management system, we have the capability …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 6–11 Read article
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Role of Functional Regenerative Trilaminar Scaffold Dressing in Wound Bed Preparation
Abstract: Advancements in wound healing have incorporated tissue regeneration therapy as a crucial tool for managing both acute and chronic wounds. Bio constructs designed to facilitate wound regeneration utilize natural, artificial, or hybrid materials, collectively referred to as regeneration scaffolds. The components of regeneration scaffolds play a crucial role in enhancing the skin's natural self-renewal abilities and accelerating the healing process. These scaffolds are designed to provide essential growth factors and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 70–75 Read article
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Design And Implementation of A Smart Dustbin System Integrated With Solar Panel For Sustainable Waste Management
Abstract: India is a rapidly developing country in the world. As a growing economy it is important to manage its waste. In India on an average 64 million tons of detritus is produced which ranks 5th in the global scenario. Nowadays in many localities garbage is thrown around arbitrarily and roads are full of litter. These unplanned things cause many problems and sometimes it may cause hazardous diseases. With the potential …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
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Surface Level and Underwater Waste Removal System
Abstract: The paper introduces novel approach for surface and underwater waste collection, impact of water pollution can be devastating, affecting aquatic ecosystems, human health, and economies. Pollutants can harm aquatic plants and animals, disrupt ecosystems, and degrade water quality, making it unsafe for drinking, swimming, and other activities. Waterborne illnesses can also spread because of contaminated water, impacting groups of people who depend on tainted water supplies for hygiene and drinking. …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 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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M-Sand and coconut shells can partially substitute natural sand and coarse aggregate in a concrete mix
Abstract: This study explores a green approach to concrete production by using coconut shells and Manufactured Sand (M-Sand) as partial substitutes for traditional coarse aggregates and natural sand. Additionally, it investigates the role of silica in enhancing concrete properties. Coconut shells, often seen as waste, are utilized as lightweight aggregates, reducing the need for heavy natural aggregates. M-Sand replaces some of the natural sand, conserving this resource and reducing carbon emissions. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 3, 2024 · pp. 35–54 Read article
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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Application of Fruit and Vegetables Peels as Functional Ingredients in Baked Cookies: A review
Abstract: About half of the waste produced by industrial fruit and vegetable manufacture is in the form of peels, cores, pomace, and unripe or damaged fruits and vegetables. Many fruits and vegetables, including citrus, apples, peaches, pears, bananas, pomegranates, berries, mangoes, and sugar beet, have peels, pulp/pomace, and seeds that contain concentrations of phenolics and other phytochemicals that are typically much higher than in the edible tissues of those fruits and …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 11–19 Read article