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39 articles for “Monte Carlo”
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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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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 31–41 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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An Innovational Safety Perspective for Reliability Assessment of Fire Extinguisher Considering Multiplicity Events
Abstract: Reliability evaluation of an engineering system or component or element is very important in order to forecast its availability or unavailability and other important directories related to the component or system as a whole. Reliability is the adjustable which tells about the availability or unavailability of the module under proper working conditions for a given period of time. A lot many researches has been reported for reliability analysis of distribution …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Estimation of Reliability and various parameters of a Radial Electrical Distribution System: An Innovative Safety Approach
Abstract: Reliability assessment of an engineering system or systems or component or element is very important in order to forecast its availability or unavailability and other important indices related to the component or system as a whole. Reliability is the floating which tells about the availability or unavailability of the component under proper working conditions for a given period of time. A lot many research papers have been reported for reliability …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 2, 2021 · pp. 14–19 Read article
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A New Analytical Expression of Channel Capacity with MRC Diversity Over Composite Model of α-μ/Inverse Gaussian Fading Distribution
Abstract: Abstract: Fading in a wireless communication system occurs basically due to two phenomena, multipath fading, and shadowing. A realistic scenario would comprise of both the phenomenon occurring simultaneously. Such a scenario is frequently characterized by a composite model of multipath/shadowing fading. In this work, a novel expression for the composite model of αμ/Inverse-Gaussian (IG) distribution with MRC diversity is obtained using the GaussLaguerre integration technique. Further utilizing the obtained expression …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 1, 2019 · pp. 22–29 Read article
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A New Analytical Expression of ASEP with MRC Diversity Over Composite Model of α-μ/Inverse Gaussian Fading Distribution
Abstract: AAbstract: Average Symbol Error Probability (ASEP) is an important performance metrics to evaluate the performance of any wireless communication system, under different modulation schemes over a fading channel. The phenomenon of shadowing and multipath fading are the two important factors which affect wireless communication. Composite modeling is an approach to accustom the effects of both simultaneously. This paper analyzes the performance of a wireless communication system over a composite model …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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A State-of-the-Art Strategy for Guesstimate of Reliability of Cumbersome Radial Distribution Structure
Abstract: Reliability assessment of an engineering system or systems or component or element is very important in order to forecast its availability or unavailability and other important indices related to the component or system as a whole. Reliability is the floating which tells about the availability or unavailability of the component under proper working conditions for a given period of time. A lot many research papers have been reported for reliability …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 3, 2021 · pp. 9–16 Read article
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Reconfiguring CMOS Driver and Receiver Pair as Pseudo NMOS for Low-swing Signaling On-chip Interconnects
Abstract: The Low power bus architecture [9, 12, 13] consists of Driver, Receiver and Interconnects in between them inside the Chip. The Low power bus architecture [1] models are classified in to Symmetric and Asymmetric [7, 11, 14, 15] based on low voltage scaling technique and very simple design principles were utilized to construct driver, receiver and interconnects. The low power bus driver has the ability to switch from a low …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 1, 2013 · pp. 20–27 Read article
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Analysis of M-MRC Receiver over Nakagami-m Fading Channels using Wireless Information and Power Transfer System
Abstract: AbstractThe expression for the performance of Outage probability and Average bit-error rate (ABER), have been presented in this paper, considering an arbitrary branch Maximal Ratio Combining (MRC) Receiver, over Nakagami-m Fading Channels using simultaneous wireless information and power transfer (SWIPT). For the SWIPT system, a Power splitter (PS) at the receiver side has been employed, which splits the received signal into the information transmitter and the energy harvesting parts. A …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 49–54 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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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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An Aggregate-Breakage Percolation Model and ANN-Based Internal Validation for Curvature-Dependent Electrical Conductivity of MWCNT/TPU Nanocomposites
Abstract: Strain-dependent percolation models are mostly built and tested for uniaxial tension, yet many flexible sensors and stretchable devices work mainly in bending, where the outer fibre is stretched, the inner fibre is compressed and the strain changes with thickness. This study extends an aggregate-breakage percolation model, originally formulated for uniaxial strain, to through-thickness bending of a multi-walled carbon nanotube/thermoplastic polyurethane (MWCNT/TPU) nanocomposite. The local strain is taken as ε(y) = …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 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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Study the Effect of Gd2O3 on the Neutronic Characteristics of Boiling Water Reactor using MCNPX Code
Abstract: MCNPX code (Monte Carlo N–Particle code extended) is used to design Boiling Water Reactor (BWR) bundle model. This model is designed to study the effect of Gd2O3 on the reactivity effect of voiding, void coefficient, neutron flux and normalized power. The incorporation of Gd2O3 directly into the UO2 fuel is the most attractive process, because of its significant effect on the fuel life in the core of the reactor. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 26–32 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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Modified Joint Test of Heteroscedasticity and Serial Correlation in a Random Effect Panel Data Model under Restricted Alternatives
Abstract: AbstractIn time series econometric theory, the sign of the parameter may be pre-assigned, that is the parameter may be ordered or restricted. Estimation of this restricted parameter is then a vital problem. If we know the parameters are restricted by some constraints, it is reasonable to expect that we should be able to do better by incorporating such additional information than by ignoring them. The paper concerned with estimating and …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 3, 2013 · pp. 41–49 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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SEASONAL TEMPERATURE IMPACT ON THE DRIVING RANGE OF ELECTRIC VEHICLE: EFFECTS ON CARBON EMISSION SAVING
Abstract: The main goal of the project is to analyse the impact of the seasonal temperature on the performance of the battery of electric vehicles, thus on the driving range. A simulation study has been developed for a Tesla model 3 Mid Range operating in the area of Lyon (France). The simulation has been run for a year based on monthly average temperatures, developing a process to estimate daily temperature evolution. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 2, 2022 · pp. 10–34 Read article