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15 articles for “Resistance-in-series model”
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Flow Reversal and Pressure pulsation: Innovative technique to enhance flux in Nanofiltration
Abstract: Reduction in Permeate flux with the period of time is the major drawback for the Pressure-driven membrane processes. Concentration polarization and membrane fouling are the two major limitations for the Pressure-driven membrane filtration processes. They lead to the severe flux decline and that need to be controlled for the better process efficiency. The resistance determination provides basis for selection of membrane and appropriate pressure –driven separation process. This paper outlines …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 1–7 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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MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell
Abstract: AbstractThis paper focuses on a Matlab/SIMULINK model of a 36 cell/72 cell solar photovoltaic cell. This comprehensive Solar Photovoltaic model has been built on mathematical equations and improved through an analogical circuit connecting a photocurrent source and a diode, connecting through a series resistor and a shunt resistor. The developed model assists in the predicting and analyzing the behaviour and properties of PV cell/PV module under different physical and environmental …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 21–28 Read article
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Theoretaical Analysis of Self-discharge behavior of Supercapacitor using physical parameter variation in Simulink/ MATLAB
Abstract: Understanding the self-discharge behavior of a supercapacitor is very important regarding make it more efficient for its applications. Different types of RC circuit models have been developed. We have studied the different RC circuit models and took the classical RC circuit model to study self-discharge behavior. This model requires three parameters: a capacitor (Cs), parallel resistance (R), and equivalent series resistance (Resr), and very easy to implement in simulation. The …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 1, 2021 · pp. 14–22 Read article
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Small-Scale Model Study on the Load-Deflection Characteristics of Single Piles under Static Lateral Load
Abstract: The capacity of a certain mathematical model to mimic a behavior occurring on a larger scale often concerns engineers. To evaluate a particular structure's safety factor, model uncertainty is an important consideration. Piles have been widely used to support axial and lateral loads for a wide range of structures, including high-rise buildings, transmission towers, power plants, offshore structures, highway and railway structures. Many transmission towers, high-rise buildings, highway and railway …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 47–55 Read article
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Vaccine Candidates and Animal Models for Kala-Azar
Abstract: Kala-azar or Visceral Leishmaniasis (VL) is a serious human disease in tropical regions and rapidly emerging as an opportunistic infection in HIV patients. The available treatment against VL is associated with toxicity and drug resistance. Even though the development of vaccines against VL is received limited attention. The only successful immunization strategy in humans has been leishmanization, which is based on the development of durable immunity after recovery from infection …
Published in Research and Reviews : A Journal of Immunology · Vol. 5, Issue 1, 2015 · pp. 29–35 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Thevenin and Norton Resistance Using Time Domain Analyses Using Spice Simulations
Abstract: Thevenin and Norton equivalent circuits are of interest to circuit simulation designers and researchers. For the Thevenin resistance and Norton conductance determination of a network with available circuit theorems, the substitution network theorem (applied to OrCAD, SPICE, and Pspice AD simulation project) is shown to be suitable with the SPICE/ Pspice circuit simulation software. Instead of the DC option, the transient analyses option of SPICE is used to determine Thevenin/Norton …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 8–18 Read article
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Three Techniques for DC Thevenin Resistance Using Pspice Simulation
Abstract: A time-domain method for certain types of excitations is proposed to determine Thevenin equivalent circuit for a circuit with resistors and dependent/independent sources. SPICE/Pspice model descriptions for resistors at constant temperature and dependent source are used. Instead of making the energy sources zero (as in frequency domain) the sources in time domain are described using model description cards available for time-domain current/voltage sources at the same time evaluating circuit for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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The Energization Transients of 6-Pulse Rectifier Circuits
Abstract: This paper addresses the energization transients of 6-pulse rectifier circuits. It applies anefficient representation of the diodes in order to describe their performance in both theforward and reverse directions. Without any loss of generality, the suggested method isapplied to the classical un-controlled six-valve full-wave rectifier bridge configuration. Theeffect of the load resistance, the eventual presence of smoothing shunt-capacitors and seriesinductors as well as the waveform of the supply voltage is …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 1, 2020 · pp. 18–30 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Experimental Analysis and Design Proposal of Banana Fiber Reinforced Polymer Composites and Computer Analysis
Abstract: This study presents a comprehensive experimental investigation and design model development using banana fiber reinforced polymer (BFRP) composites. The primary aim is to evaluate the mechanical and physical performance of the composite, with particular emphasis on tensile strength, flexural strength, and water absorption characteristics. These properties are critical for applications in industries such as transportation and construction, where durability, lightweight materials, and cost-effectiveness are essential. Banana fibers, being natural, renewable, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 901–907 Read article
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The Transient Response and Frequency Characteristics of Power Transformers having Non-uniform Winding Insulation
Abstract: This paper presents a Laplace-domain distributed-parameter technique for analyzing the transient and frequency response of power transformers having non-uniform winding insulation. Stronger winding insulation near the windings source side terminals is usually applied in order to mitigate the concentration of the transient voltage stresses close to these locations. This will result in a location-dependent inter-turn capacitance distribution. The suggested procedure for analyzing such windings is based on the cascade connection …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 1, 2014 · pp. 37–52 Read article
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Thermo-hydraulic Performance of Annular-Finned Double-Pipe Heat Exchanger: Numerical and Experimental Investigation of Metallic and Polymer Composite Tube Wall Materials
Abstract: Double-pipe heat exchangers are central to the process industries — dependable, easily maintained, and straightforward to fabricate. Their conventional form relies on metallic tube materials, most often copper or stainless steel. Both metals conduct heat well, but they are dense, prone to corrosion in aggressive service environments, and increasingly at odds with the light-weighting goals that drive modern system design. Fibre-reinforced polymer composites, epoxy-based materials, and thermally enhanced thermoplastics such …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 891–909 Read article