Search
163 articles for “experimental and computational methods”
-
Multi-loop Adaptive Internal Model Controller for Two Interacting Conical Tank Process
Abstract: In this paper, an adaptive multi-loop internal model control (IMC) scheme is proposed for nonlinear process. Nonlinear multivariable process is decomposed into linear single input single output process. The interaction effect and illness of each linear region is analyzed by RGA (Relative Gain Array) and singular value decomposition method (SVD). It is a matrix technique used to determine condition number of steady state plant to avoid sensitivity problem which arises …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 21–31 Read article
-
Effect of Participatory Eye Care by Amelioration in Reducing Digital Eye Strain Among Computer Users in GNSU
Abstract: The prevalence of ocular complaints has grown along with the use of electronic devices in the twenty-first century of digital communication. Regular practice of eye exercise like integrated eye-neck exercises are found to be useful in relieving the eye discomfort and also improving the visual acuity. This study is to assess the effect of participatory eye care by amelioration in reducing digital eye strain among computer users in Gopal Narayan …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 39–57 Read article
-
Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Tribological Performance and Wear Coefficient Prediction of AA2024–TiC Composites via Python-Based Machine Learning
Abstract: Determining wear coefficient accurately serves as a critical factor to maximize engineering materials' tribological characteristics. The experiment examines the wear characteristics of TiC-reinforced AA2024 aluminum alloy subjected to different tribological operating conditions. A pin-on-disc tribometer performed wear tests under different conditions of load and TiC weight fraction and sliding speed and duration. ANOVA statistical results show that load intensity and TiC reinforcement density stand out as principal variables that affect …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1099–1112 Read article
-
Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
-
Fracture Mechanics-based Assessment of Welded Joints in Structural Steel Components
Abstract: In many engineering applications, connection by welding are essential to the structural integrity of steel components. However, because of the intricate interplay between material qualities, welding techniques, and structural stress conditions, evaluating the dependability and safety of these welded connections continues to be a difficult challenge. A systematic framework that evaluates the behavior of cracks and faults in welded joints is provided by fracture mechanics, which also offers insights into …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 16–22 Read article
-
Strength and Stability of Copper in (100) Loading using EAM
Abstract: AbstractNumerical computations of strength and stability of copper in case of (100) loading are carried out by taking new embedded atom method (EAM). New EAM contains three adjustable parameters and four unknown parameters, which have calculated using experimental values of lattice constant, second order elastic constants. Computed value of theoretical strength of Cu is same order in magnitude of the results of other investigators. Second unstable phase found in compression.Keywords: …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 3, 2016 · pp. 28–35 Read article
-
Fluid-Structure Interaction Simulation of Parachute by Eulerian-Lagrangian penalty method
Abstract: In general, modeling and simulation of a model consisting of fluid and solid combinations has been considered difficult, and it has become impossible in terms of computer dependencies and accuracy to be analyzed by Fluent or other programs. The parachute evaluation process, which is historically based on a large amount of experimental data, necessitates many falling experiments. These tests can be costly and time-consuming, and they don't always allow for …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
-
Structural and Thermal Analysis of Ball Control Valve: A Review
Abstract: AbstractA ball valve is a type of flow control device, which is widely used to regulate a fluid flowing through a section of pipe. Currently, analyses and optimization are of special important in the design and usage of ball valves. For the analysis, finite element method (FEM) is often used to predict the safety of valve disc, and computational fluid dynamics (CFD) is commonly used to study the flow characteristics …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 2, 2018 · pp. 30–35 Read article
-
Thermal Performance of Concentrating Solar Panels
Abstract: The study shows a detailed analysis of the thermal performance of concentrating solar panels and the temperature increase due to concentrated solar radiation. This work proposes a configuration to reduce temperature rise, maintain good panel efficiency, and increase output power. The configuration is based on a sandwich structure including a phase change material (PCM), which absorbs the thermal energy excess generated by the concentrated solar radiation onto the PV panel. …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
-
Nucleon-Nucleon Scattering by the Hulthen Potentials
Abstract: The nuclear part of the nucleon-nucleon interaction is represented by nuclear Hulthen and the electromagnetic part by atomic Hulthen potentials. Frobenius method is applied to construct the ground state wave function for the systems under consideration. Higher partial wave (Pwave) nucleon-nucleon potentials are generated by exploiting the supersymmetry inspired factorization method and the corresponding scattering phase shifts are computed by applying the phase function method for the local potential. To …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 17–23 Read article
-
Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
-
Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
-
Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article
-
Hands-Free Human–Computer Interaction for Smarter Workspaces
Abstract: In current digital work environments, frequent interaction with keyboards and mouse devices can interrupt workflow, especially during presentations, collaborative sessions, and multitasking activities. This study introduces a touchless human–computer interaction system that allows users to operate computer functions through hand gestures and voice instructions, minimizing the need for traditional input devices such as keyboards and mice. The proposed system integrates gesture recognition, speech processing, and optical character recognition (OCR) technologies …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 50–56 Read article
-
Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article
-
Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
-
DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
-
Experimental Recording of the SU-8 Micropillars by Scanning Electron Microscope
Abstract: SU-8 micropillars are designed in the laboratory computer. The designed SU-8 micropillars are fabricated by the maskless lithography using standard SU-8 processing methods. The range in side length of square SU-8 micropillars is 100 micron to 350 micron. The range in diameter of circular SU-8 micropillars is 100 micron to 350 micron. The SEM images of these fabricated SU-8 micropillars are captured by different tilt angles to characterise these micropillars. …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 7, Issue 1, 2017 · pp. 29–32 Read article
-
Cardiovascular Image Segmentation in Computed Tomography Angiography ImagesUsing Deep Learning Approaches
Abstract: In present time, the cardiovascular disease is one of the common causes of mortality in human. In field of medical science, Heart angiography is one of the processes to testing of heart disease. Heart angiography identifies the abnormality in heart vessels. There are mainly two approaches to identify the heart disease. Former approach is the invasive and latter one is the non-invasive approaches. Invasive process is a painful diagnostic procedure …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 20–27 Read article