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19 articles for “Monte Carlo method”
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Numerical Simulation of Anomalous Diffusion in Levy Random Walk Processes by Monte Carlo Method
Abstract: We have simulated the nonlinear behaviour of mean square displacement <r2>, with time based on Levy random walk model. By analysing different prospects, we came to the conclusion that, Levy random walk with continuous step length distribution gives rise to <r2> which behaves nonlinearly with time. This is only observable, when time average is taken and ensemble average does not lead to any nonlinearity. It also indicated the non-ergodic property …
Published in Research & Reviews : Journal of Physics · Vol. 10, Issue 2, 2021 · pp. 23–30 Read article
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Robust Design of Subsonic Airfoil by Multi-Objective Six Sigma Approach
Abstract: It is well known that aerodynamic performance of a UAV is very sensitive to the wing shape and flight conditions, and inevitable uncertainties such as wing manufacturing errors and wind variations may lead to drastic deterioration in its aerodynamic performance. In the UAV wing design, therefore, it is required not to use the conventional design optimization approach considering only optimality of performance at the design point, but to use the …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
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Design Boiling Water Reactor Core Model Using MCNPX for Studying the Burnable Poisons and the Axial Enrichment Fuel Effect on the Neutronic Characteristics
Abstract: The incorporation of gadolinium directly into nuclear fuel is important for improving the reactor behavior and satisfying the safety criteria during the core lifetime. MCNPX (Monte Carlo N–Particle code extended) has been used for designing Advanced Boiling Water Reactor model. MCNPX code based on Monte Carlo method, is used to design a three-dimensional model for a BWR fuel assembly in a typical operating temperature and pressure conditions. This model has …
Published in Journal of Nuclear Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 21–35 Read article
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Using Monte Carlo Simulation Approach, Estimation of Stochastic Frontier Production Function and Test of Parameters under Restricted Alternatives
Abstract: The stochastic frontier production function can be used to estimate the technical efficiencies among the firms when all the firms are not technically efficient. In most of the economic problems, prior information about the parameters is known in advance. That is, the sign of the parameters are known, which is also true for the Stochastic Frontier Production. We notice that the existing techniques of estimating the Stochastic Frontier Production Function …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 26–31 Read article
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A New Method for Measuring Overall Reliability and Performance in Growing Computer Networks with Static and Variable Connections
Abstract: ABSTRACTThis paper presents a computational study on the performance of reliability measures by using optimized ANN for computer networks with fixed and varying link reliabilities. This paper focus on the design of minimum cost reliable computer networks when a set of nodes, their topology, and links are given to connect them. A comparative study of various approaches for evaluating reliabilities has been studied such as Monte Carlo simulation methods and …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 1–14 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Primality Testing: A Comprehensive Analysis of Methods and Time Complexity
Abstract: This paper examines various primality testing algorithms and analyzes their time complexity. The algorithms we examine include the trial division, which is straightforward but becomes inefficient with large numbers; Fermat’s little theorem which is a probabilistic method included in Monte Carlo type of randomized algorithm; the Solovay–Strassen, based on properties from number theory, particularly those related to Euler’s criterion and Jacobi symbols; and the Miller–Rabin Probabilistic Test, which balances efficiency …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 25–31 Read article
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Hotelling Transform Based Interference Mitigation in Software GPS Receivers
Abstract: The proliferation of mobile devices and the emergence of wireless navigation services have generated a huge consumer demand for location based services in urban and indoor environments. The major concern in receiving GPS signals is having poor signal strength which causes an inaccurate position of the user due to interference and noise. Many de-noising techniques have been proposed to combat the noise and interference which deal with preprocessing and post …
Published in Recent Trends in Programming languages · Vol. 6, Issue 1, 2019 · pp. 11–20 Read article
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Least Squares and Weighted Least Squares Median Rank Estimation Method for an Inverse Weibull Distribution for Progressively Type-II Censored Samples
Abstract: Inverse Weibull distribution is non-monotonic and unimodal hazard function distribution having wider application in reliability and life testing. Reciprocal of a random variable distributed according to the Weibull distribution has the inverse Weibull distribution. This paper attempts to study the classical approach for parameter estimation of inverse Weibull distribution under progressive type II censoring. Least square median rank estimator and weighted least square median rank estimator are derived, it admits …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 47s–52s Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Implementation of 2nd Order CMOS Gm-C IF Tuning Filter Operating at GSM and FM Band: Wireless System with Monte Carlo Analysis
Abstract: Designed folded cascode OTA has a 52 dB DC gain and provides a unit gain bandwidth of around 400 MHz. Design of CMOS Gm-C 2nd order biquad filter implementation using OTA, operating at center frequency 70 and 10.6 MHz. The filter can be operated at center frequency of 70 MHz under 1.8 V power supply and is suitable for intermediate frequency (IF) range in most of the wireless systems operating …
Published in Journal of Electronic Design Technology · Vol. 5, Issue 2, 2014 · pp. 9–24 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Evidence of PDMS-based foam control agent mechanism on crude oil foams
Abstract: Crude oil foam is a frequent problem faced in oil production operations that can cause the reduction of the separator efficiency, separator overflow, carry out of liquid by the gas stream, and other serious problems. Among the techniques used to attenuate foams in crude production, the injection of chemical additives is still considered one of the most efficient. However, the effectiveness of a foam control agent (FCA) is limited to …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 13–23 Read article
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Extended Kalman Filter Application For Launch Vehicle Trajectory
Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article
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Exploration of Diverse Epoxy-Based Surface Coating Methods for Enhancing Anticorrosion Characteristics
Abstract: Epoxy-based polymers, commonly referred to as polyepoxides, constitute one of the most versatile and widely adopted categories of polymeric materials due to their exceptional structural, mechanical, and chemical characteristics. Their unique macromolecular framework enables strong interfacial bonding, high mechanical stability, and superior resistance to environmental and chemical degradation, positioning them as advanced alternatives to many traditional organic corrosion inhibitors that often fail under prolonged exposure to aggressive conditions When polyepoxides …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 167–177 Read article