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1976 articles for “bending-mode piezoresistivity” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Modelling and Evaluation of Kinetics of Methane Chlorination using Matlab Techniques
Abstract: The chlorination of methane follows series-consecutive reaction mechanism to yield the chloromethanes products. The equation of reaction comprised of four consecutive step chemical reaction equations. The kinetics model for chlorination of methane into monochloromethane, dichloromethane, trichloromethane and tetrachloromethane was developed from the chemical reaction equations. In the elementary rate equation, the concentration of chlorine was assumed to be in excess, reducing the model to first order kinetics. The developed model …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 2, 2020 · pp. 31–36 Read article
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Dynamic Modelling, Simulation of Single-Link Flexible Robot Manipulator and its Control
Abstract: This paper presents the dynamic modelling of single link flexible manipulator based on Assumed Modes Method. Modelling of flexible robot manipulator is a challenging task because of its nonlinearity and complexity involved in the dynamics. Kinetic energy, potential energy, and dissipation energy are taken into consideration for dynamics modelling. The model is simulated using SIMULINK software by considering proper parameters and constants. Modelling dynamics is simulated by using two different …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 15–21 Read article
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Application of Dynamic Phasor Model as an Alternative to DFT in Phasor Measurement
Abstract: This paper presents the application of dynamic phasor based models as an alternative to the Discrete Fourier Transform (DFT) commonly used in the Phasor Measurement Units (PMU). The paper demonstrates that the computation of a phasor using DFT in discrete time domain is equivalent to the computation of phasor (Dynamic Phasor) in continuous time domain. This paper proposes the application of dynamic phasor based models to simulate a Wide Area …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 46–52 Read article
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Ni-MH Battery Dynamic Model with Reversible DC Machine and a Constant Load for Electric Vehicle Applications
Abstract: The global issues like fossil fuel burning and pollution created have become a headache for the whole world, and therefore the Electric Vehicles (EV) are getting high attention. This paper deals with the Ni-MH battery model for the EV applications. The model described in the paper is entirely dynamic. A test bench is created in the Matlab/Simulink® for the dynamic battery model. Few tests were conducted to prove the adaptability …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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Dynamic Modelling of Natural Draft Cooling Tower (Case Study of Notore Chemical Company)
Abstract: Determining the impact of air, water, and temperature flow rates on the cooling tower of Notore Chemical Industries is the aim of this study. Using a dynamic and simulation model derived from fundamental ideas, this study produced a model equation for an ordinary differential equation. The Runge-Kulta ODE45 technique, which was implemented in MATLAB R2022A, was then used to solve the model equation.The twenty-four-hour simulation runs at one-hour intervals. To …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 18–24 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Modelling of Skin Effect in On-Chip VLSI RLC Global Interconnect
Abstract: This paper addresses one of the aspects of the high frequency effects, namely the skin effect. The basicproblem with skin effect is that it attenuates the high frequency components of a signal more than that ofthe low frequency components. Due to the increase in operating frequency and die sizes, RC models arebecoming insufficient for analysis of global VLSI interconnects. Accurate noise modelling for RLC lines isthus critical for timing and …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 31–44 Read article
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Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article
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Examining the Influence of DEM Resolution in Flood Hazard Assessment using the Flood Modeller Pro 2D Solver
Abstract: Floods are the most frequent natural hazards that threat the human life, environment and infrastructure. The flood prediction models that have wide use in the recent years represent important tools for flood management decisions aiming to mitigate the impacts of the flood events. The accuracy of the constructed prediction models is based on the quality of the primary data, such as the terrain’s resolution. This study examines the effect of …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 14–24 Read article
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Modeling Evapotranspiration using Artificial Neural Networks
Abstract: The prior knowledge of evapotranspiration (ET0) is crucial for estimating crop-water demand, preparation of water distribution schedules and water diversion. The present study investigates the utility of artificial neural networks (ANNs) and linear regression models (LRs) for forecasting ET0 based on hydro-meteorological data. Based on different inputs, eight ANN and LR models are developed. The results are compared with those of FAO-56 Penman-Monteith expression. The published daily climatic data from …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 29–35 Read article
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Modeling of Photovoltaic Module with MATLAB/Simulink
Abstract: Abstract The generation of electrical energy from sunlight is achieved with an interface called photovoltaic (PV) module. The PV module plays a vital role for extracting electrical energy from sunlight, thus its accuracy is most important parameter for consideration while developing mathematical model of PV module. For higher accuracy the single diode model with series and parallel resistors combination is used. For simulating this device in MATLAB/Simulink we need weather …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 38–45 Read article
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Modernization and Digitization in Power Grid Sub-Stations– The Prime tool for Multi Objective Optimization Methods.
Abstract: All Grid Sub-stations has four sections to control, operate and protect the large gamut electrical Power for its smooth flow till to the end customer.1. Generation, Loading, Conversion and Carrier Devices: We have generators as generation device, Motors and other electrical equipment as Loading device, Transformers as conversion device and Electrical Conductors as Carrier device. On technology front in this section, we have not experienced much technological changes. Only the …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 1, 2022 · pp. 10–18 Read article
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Need for an Integrated Modelling Approach for Mixed Traffic Flow Phenomena
Abstract: Traffic flow modelling can be in general categorised into three broad categories.Macroscopic models are generally based on aggregate level of traffic flow; whereasmicroscopic tools are more disaggregated and dynamic in nature. Benefiting from thesteadily increasing availability of affordable computing power, these more detailedmodels have become the tool of choice for operational studies, commonly in the form ofmicroscopic simulators. Among other dynamic models, mesoscopic ones are acompromise between the macro and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 20–26 Read article
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Calibration and Validation of Micro-simulation (S-Paramics) Model for Merging Sections
Abstract: Recently, simulation models have been widely used across the world in terms of evaluation of the performance of different traffic facilities, such as normal sections, intersections, roundabout, etc., the economic evaluation and safety evaluation. To examine the accuracy and versatility of micro simulation programmes such as S-Paramics when modelling highways, is by calibrating and then validating the model against real life data taken from loop detectors. In this study, a …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 1–11 Read article
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Survey of Traditional Waterfall Model in SDLC
Abstract: AbstractSoftware development life cycle or SDLC for short is a technique for planning, fabricating, and keeping up data and modern frameworks. Up until this point, there exist numerous SDLC models, one of which is the Waterfall show which involves five stages to be finished successively so as to build up a product arrangement. I consider the waterfall model before the other models because it has had a profound effect on …
Published in Current Trends in Information Technology · Vol. 9, Issue 1, 2019 · pp. 4–6 Read article
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Accident Prevention Signal System on Hairpin Bend Road
Abstract: In areas like Ghats and mountains where traveling conditions are not good and one of its reasons is hairpin bend roads, drivers have to take extra precautions while traveling through that type of roads and sometimes accidents may happen if the driver is not careful. In this study, we discussed how we can implement an accident prevention traffic control signal system on hairpin bend roads. We also mentioned what is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 1–6 Read article
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Trust Based Deep Learning Model for Women Information Security Improvement in LBS
Abstract: The pervasiveness of mobile devices equipped with positioning proficiencies has managed to the emergence of frequent location-based applications and services. A huge fraction of the information sought is related to the current women position. This comprises queries for nearby medical services, specialized stores, social activities and groups, and others. In general, location-based service (LBS) operators are expected to be trusted parties that preserve the user’s privacy. Due to the sensitive …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 18–23 Read article
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Second Wave COVID-19 Predictions and Forecasting of Confirmed Cases in West Bengal Using ARIMA Model
Abstract: Infection and death rates surged drastically during the second wave of the COVID-19 (called delta variant) in India, owing to the destructive virus. As our country's economic load makes it more difficult to control the measures and it is critical for states such as West Bengal to forecast future cases. The present study introduced a time series forecasting model aimed at predicting and forecasting the number of confirmed and active …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 1, 2023 · pp. 1–8 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Advanced Mathematical Modelling of Nanoscale Semiconductor Devices for Low-Power Microelectronic Applications
Abstract: With the ongoing scaling down of semiconductor devices, there is an increasing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. As the sizes of semiconductors continue to decrease, there is a growing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. In this work, a common mathematical modelling approach …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article