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1128 articles for “Modelling”
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Mechanical Characterization using Finite Element Analysis of Jute and E-Glass Fabric Reinforced Epoxy Composite Materials
Abstract: Recently, there has been a greater inclination towards natural fiber reinforced plastics composites (NFRPC) because these are environmentally friendly and cost-effective to synthetic fiber reinforced composites. The availability of natural fibers and ease of manufacturing have tempted researchers worldwide to try locally available inexpensive fibers and to study their feasibility of reinforcement purposes and to what extent they satisfy the required specifications of good reinforced polymer composite for tribological applications. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 2, 2020 · pp. 21–39 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article
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Low-Cost FDM-Printed Microfluidic Droplet Generators with Vertical Flow-Focusing Channels
Abstract: *Author for CorrespondenceL. K. NarangammanaE-mail: [email protected] Low-cost fabrication methods are now essential for expanding access to microfluidic technologies in biological and laboratory applications. In this work, we present a fused deposition modeling (FDM) based approach for the rapid fabrication of monolithic microfluidic droplet generators incorporating several T-junction and specific flow-focusing geometries, including a novel vertical channel configuration. All devices were fabricated without post-processing or bonding, demonstrating a simple and cost-effective …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 1, 2026 · pp. 30–46 Read article
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Influence of Road Geometry and Traffic Characteristics on Highway Crash Frequencies under Heterogenous Traffic Conditions
Abstract: Abstract This study aims at modeling the influence of highway geometric and traffic characteristics on road crash frequency under heterogenous traffic conditions using the Negative Binomial regression technique. Over a span of three years, data from 618 road accidents on the Dhaka–Aricha highway (N5) in Bangladesh were analyzed to develop the model.. The model variables include Annual Average Daily Traffic (AADT), % of heavy vehicle and non-motorised vehicles (NMV), pavement …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
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ANALYTICAL STUDY ON THE DYNAMIC BEHAVIOR OF RC HIGH-RISE BUILDINGS WITH STAGGERED OPENINGS IN SHEAR WALLS
Abstract: ABSTRACT - This research investigates the seismic performance of a 15-storey reinforced concrete building with varying shear wall configurations, focusing on the effects of vertical and staggered openings. The study compares three models: one with solid shear walls, one with vertical openings, and one with staggered openings. Using ETABS V21 software and performing the analysis in Seismic Zone IV under the Response Spectrum Method (IS 1893:2016), the results show that …
Published in International Journal of Construction Engineering and Planning · Vol. 11, Issue 2, 2025 · pp. 35–50 Read article
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ANALYTICAL STUDY OF SEISMIC RESPONSE OF DOUBLE TOWER BUILDING ON A COMMON PODIUM
Abstract: Abstract The recent surge in global population, particularly in urban areas, has led to a significant rise in the demand for tall buildings structures featuring multiple towers on a shared podium. Such complex configurations often result in intricate interactions between towers and podium structures, particularly under lateral loads induced by earthquakes. One of the critical structural behaviours observed in such systems is the backstay effect, which arises due to discontinuities …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 9–19 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Excitation System, Proportional and Integral Controls of a Synchronous Generator for Reducing Adverse Impacts to Power System from Voltage Fluctuations
Abstract: The project analyzes the voltage fluctuations caused by any disturbance in a power system and minimizes the oscillations by controlling the excitement field using a feedback control loop. Adequate numbers of journal papers and literature materials were researched and reviewed to understand the principles of generator excitation and investigate various control systems which can be worked upon to keep the voltage output stabilized. It is known that Automatic Voltage Regulator …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Design and analysis of green building on Revit
Abstract: Over the past few years, inexperienced and property Buildings have gained loads of prominence due to the growing environmental issues. To meet the property necessities of a building, changes or choices should be created to a building throughout the look and preconstruction stages. This may be potential victimization Building info Modelling the traditional building performance is analyzed victimization Autodesk Revit. Which incorporates parameters like energy use intensity, annual carbon emission, …
Published in International Journal of Housing and Human Settlement Planning · Vol. 7, Issue 1, 2021 · pp. 25–29 Read article
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Investigation into SITO Split-Range Control System as Alternative Techniques over Ratio Control Strategy on Hydrocyclone
Abstract: The production of Crude Oil from the reservoir and the subsequent processing of the reservoir fluid come with litany of environmental impact issues. This work focuses on the control of the differential pressure ratio of the Hydrocyclone using an alternative scheme. The control of the Hydrocyclone Differential Pressure Ratio is a major determinant of the efficiency of separation. Traditionally, among the various PID Control Strategies, the Ratio Control Method is …
Published in International Journal of Green Chemistry · Vol. 6, Issue 1, 2020 · pp. 5–19 Read article
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Development of Attenuation Relationships for Underground Blasts: Different Equations
Abstract: Blasting operation becomes essential for excavation in weathered and hard rock strata for construction and mining activities. The Indian Standard and industrial practice of establishing the site specific attenuation relationship recommend Power form of relationship between the PPV the scaled distance with an exponent of 2/3 (IS) and 1/2 (industrial practice). In this paper, three different equation forms and five different exponents were explored for modelling the aforementioned relationship for …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 1, 2017 · pp. 8–16 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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Object Reconstruction Using Phone and Compact Camera
Abstract: Previously, a 3D model can be produced by using high resolution and metric camera in close range photogrammetry technique. In this study, there were two types of camera used; the compact camera (Nikon COOLPIX L120) and phone camera (Samsung Galaxy Note1). Two objects were selected; i.e., a biscuit container as for simulation and water tank as the real object. 3D models for both objects were validated by using a measuring …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 6, Issue 1, 2020 · pp. 21–30 Read article
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A comparative study on the use of conventional and osadebe mix designs in predicting the marshall stability of asphalt concrete
Abstract: Asphalt concrete is an important construction material all over the world with its design always following conventional procedure in developing countries such as Nigeria. This study was channelled towards using Osadebe’s theory in comparison to the conventional design procedure in the design of asphalt concrete providing a handy mathematical model for the determination of the stability of asphalt concrete given any components’ mix proportion and vice versa. Two designs were …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 1, 2020 · pp. 10–23 Read article
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Assessment and Prediction of Groundwater for Irrigational Suitability
Abstract: Assessment of ground water suitability for irrigation purposes in Egita community has been investigated. The study gave sodium absorption ratio (SAR) values for different weeks of study. The values obtained ranges between 0.33 to 0.37 for both empirical model and finite element method respectively. The research demonstrates the suitability of using finite element method in predicting and monitoring sodium absorption ratio in groundwater water modelling and investigations. The correlation between …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 2, 2021 · pp. 32–36 Read article
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Performance of Weibull Distribution Function on Prediction Based EH-CRN with Diverse Fusion
Abstract: Reduction of energy footprint and spectral underutilization are the two major challenges for communication technology. Energy harvesting (EH) enabled cooperative cognitive radio network (CRN) promises to address this pertinent issue and aspires to play the pivotal role in driving future wireless communication. The distribution function plays an important role on the performance of such model. In this paper, we introduced Weibull distribution function in characterizing the primary user activity and …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 35–47 Read article