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211 articles for “computational modeling”
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Computation of Biokinetic Parameters of Total Petroleum Hydrocarbon Degradation using Vernonia amygdalina Stem
Abstract: This investigation showcases the computation of biokinetic parameters of total petroleum hydrocarbon degradation using Vernonia amygalina stem as bio-stimulant for the remediation of contaminants in loamy soil environment. The research revealed decrease in TPH degradation with increase in contact time and the percentage reduction was computed. The result shows TPH (100 dosage) > TPH (75g dosage) > TPH (50g dosage) > TPH (25g dosage) > TPH (control sample) and the …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 9, Issue 2, 2023 · pp. 26–38 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Prediction of Step Input Response on Pneumatic Proportional Derivative Controller. The Concept of Transfer Functions
Abstract: Computer programme language of MATLAB software was used to monitor, predict and simulated the characteristics of step input response on pneumatic proportional derivative controller with the concept of transfer functions. The prediction of step input response on pneumatic proportional derivative controller was examined using the concept of transfer function. A model equation was also developed to give account of the response of on pneumatic proportional derivative controller. The equation was …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 6, Issue 1, 2020 · pp. 35–44 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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Evaluation of Deformation Behavior of a Structural Pipe Bracket Under Static Loading Using Finite-Element Analysis
Abstract: This study presents a comprehensive structural integrity assessment and comparative static response analysis of an industrial support bracket subjected to varying mechanical loading conditions using the finite element method (FEM). Industrial brackets are essential load-bearing components in mechanical and structural systems, where adequate stiffness, strength, and dimensional stability are critical for ensuring operational reliability and structural safety. The primary objective of this investigation is to evaluate the influence of material …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Velocity and Concentration Distribution of Turbidity Currents
Abstract: AbstractThis study conducts a comprehensive analysis of the velocity and concentration characteristics withinturbidity currents, focusing on detailed evaluations of the hydrodynamic and sediment transportproperties. The investigation includes separate calculations for the velocity and concentrationdistributions within the near-boundary and jet regions, allowing for an in-depth comparison betweenthese distinct flow areas. By computing dimensionless profiles of both velocity and concentration, thestudy offers a visual representation of flow behaviors and sediment patterns, which …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 15–22 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
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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A Combined Cycle Power Plant Using Graph Theory and Systems Modelling-Review
Abstract: Graph theory is a well-established tool for the analysis of any system. For the graph theory system has to be divided in to sub systems and factors have to be identified for the analysis. In the present work some of the attributes are identified for the application of graph theory. A proper identification of the attributes helps in precise evaluation of selection of combined cycle power plant systems. As the …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 38–42 Read article
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Decision Methodology for Site Suitability Index – A Combinatorics Approach
Abstract: Installation and operation of a power plant is dependent upon a large number of parameters which are interdependent. In the present work a methodology based upon the combination of digraph development, matrix representation and computational solution is applied on the problem of site selection for power plant is developed. The aim of present work is the factor identification and methodology development for decision making. This paper identifies various parameters affecting …
Published in International Journal of Energetic Materials · Vol. 2, Issue 1, 2016 · pp. 15–18 Read article
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A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images
Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applyingtheir medical expertise and knowledge. Because expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 Read article
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Polynomial Thevenin Resistance Networks for Spice Simulation
Abstract: Two networks with resistors and independent sources are considered to compute Thevenin resistance. A different network is considered where the Thevenin resistance from the previous independent networks is to be incorporated (in a polynomial representation). Different methods using Spice/Pspice software to obtain the above representation are described. SPICE/OrCAD software is used to obtain equivalent circuits for Thevenin equivalent network parameters used in polynomial form are described and other different networks …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 22–36 Read article
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The Evolution of 3D Printing: Detailed Analysis of Processes, Materials, and Applications in Modern Manufacturing
Abstract: 3D printing, also known as additive manufacturing, has revolutionized manufacturing processes by enabling the creation of complex structures layer by layer from digital models. This technology plays a pivotal role in Industry 4.0, characterized by smart manufacturing and the integration of cyber-physical systems. This review explores the various processes used in 3D printing, the range of materials employed, and the diverse applications of 3D printing in industry. Key processes discussed …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 1, 2024 · pp. 35–46 Read article
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A Study of Thermodynamics of Ligand - Receptor Interaction in Chemical Sciences
Abstract: The formation and separation of definite non-covalent interactions between varieties of macromolecules play a crucial role in the function of biological systems. During the last few years, three main lines of research led to a dramatic improvement of our understanding of these important phenomena. First, combination of genetic engineering and X ray crystallography made available a simultaneous knowledge of the precise structure and affinity of series or related ligand-receptor systems …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 3, Issue 2, 2017 · pp. 12–16 Read article
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CAE Analysis and Material Selection for Chassis of 4-Wheel Efficycle
Abstract: ABSTRACT This paper presents a comprehensive Computer-Aided Engineering (CAE) analysis and material selection study for the chassis of a four-wheel Efficycle — a hybrid human-electric powered vehicle designed for student competitions and sustainable mobility applications. The objective of the study is to evaluate the structural integrity, stiffness, and crashworthiness of the chassis under various loading scenarios including front impact, side impact, rollover, and torsional loads. Using CAD models developed in …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 9–18 Read article
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CAE Analysis and Material Selection for Chassis of 4-Wheel Efficycle
Abstract: ABSTRACT This paper presents a comprehensive Computer-Aided Engineering (CAE) analysis and material selection study for the chassis of a four-wheel Efficycle — a hybrid human-electric powered vehicle designed for student competitions and sustainable mobility applications. The objective of the study is to evaluate the structural integrity, stiffness, and crashworthiness of the chassis under various loading scenarios including front impact, side impact, rollover, and torsional loads. Using CAD models developed in …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–10 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Numerical Analysis of Flow Characterization in a Continuous Crystallizer
Abstract: In this work, hydrodynamics in a draft tube continuous crystallizer is analyzed computationally through Ansys CFD to crystallization phenomena. Hindrance to fluid mixing and particle suspension due to vortexing can be overcome by providing baffles. A draft tube ensures that it directs the flow in vertical direction ensuring good axial blending. Here CFD simulations are performed using multiple reference frame (MRF) with sliding mesh approach in transient condition for flow …
Published in International Journal of Chemical Separation Technology · Vol. 2, Issue 2, 2016 · pp. 33–43 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article