Search Results - "python simulation"

ADAPTIVE DUAL-MODE STEER-BY-WIRE FOR SMART-CITY AND REMOTE OPERATIONS: A COMPACT MECHATRONIC REVIEW WITH A PYTHON SIMULATION FRAMEWORK

Authors: Adrian C. Okonkwo Ukala A. N Eugene Ogbodo et al.

Source: International Journal of Education and Social Science Research. :413-428

Development of an ABAQUS-Python simulation model of offshore caisson

Authors: Bilal Ahmad Malik Anish Kumar Soni Pranjal Mandhnaiya et al.

Source: Lecture Notes in Civil Engineering ISBN: 9789819639113

Teaching Heterogeneous Electrocatalytic Water Oxidation with Nickel- and Cobalt-Based Catalysts Using Cyclic Voltammetry and Python Simulation

Authors: Jingjing Qiu Anneke Moeller Janet Zhen et al.

Source: Journal of Chemical Education. 2023 100(8):3036-3043.

Peer Reviewed: Y

Page Count: 8

Descriptors: Programming Languages, Computer Software, Computer Simulation, Educational Technology, Science Laboratories, Science Experiments, Undergraduate Students, College Science, Undergraduate Study, Inorganic Chemistry, Scientific Concepts

Variation of Mass Value for Spring Damper System in Suspension Using Python Simulation in Google Colab

Authors: null Adhe Lingga Dewi

Source: International Journal of Scientific Research in Science and Technology. :1024-1031

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

iactsim: a CUDA-accelerated Python simulation framework for Imaging Atmospheric Cherenkov Telescopes

Authors: Davide Mollica Ciro Bigongiari Antonino D’Aì et al.

Source: Proceedings of 39th International Cosmic Ray Conference — PoS(ICRC2025). :770

Cooling induced fracturing in impact melt dikes derived from drone photogrammetry and Python simulation: Example from the Lesutoskraal Granophyre Dike in South Africa

Authors: Martin D. Clark Elizaveta Kovaleva Matthew S. Huber et al.

Source: Journal of Structural Geology. 197:105428

Chapitre 15. Python : simulation de lois de probabilité

Authors: Rondy, Sylvain Berlandi, Pierre Niffoi, Gianfranco et al.

Source: Mathématiques - Informatique. 2022, p. 429-464.

Availability: https://stm.cairn.info/mathematiques-informatique-prepas-ect-2e-annee-programme-2022--9782340066694-page-429?lang=fr

Modellierung und Python-Simulation von Magneten für Anwendungen in der Leistungselektronik

Authors: Shivkumar V. Iyer

Development of a Python Simulation Tool for Estimating Microgrid Benefits for Distribution Network Operator

Authors: Nayanajith Kurukulasooirya K.T.M.U. Hemapala K.M.I.U. Ranaweera

Source: 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT). :1-6

Theoretical analysis of the activity of radioactive isotope mixtures modeled by Laplace transform and Python simulation ; Análisis teórico de la actividad de mezclas de isótopos radiactivos modelada mediante la transformada de Laplace y simulación en Python ; Análise teórica da atividade de misturas de isótopos radioactivos modelada pela transformada de Laplace e simulação em Python

Authors: Orduz Perez, Andres Felipe

Subject Terms: Isotope mixtures, Laplace transform, Nuclear waste, Python simulation, Radioactive decay, Theoretical analysis, Total activity, Residuos nucleares, Decaimiento radioactivo, Transformada de Laplace, Simulación en Phyton, Análisis teórico, Mezclas de isótopos, Actividad total

File Description: application/pdf

Relation: https://preprints.latarxiv.org/index.php/latarxiv/preprint/view/362/576; https://preprints.latarxiv.org/index.php/latarxiv/preprint/view/362

Availability: https://preprints.latarxiv.org/index.php/latarxiv/preprint/view/362
https://doi.org/10.62059/LatArXiv.preprints.362

Python Simulation Activities for Estimating the Area Between Curves for Secondary School Students

Authors: Thanawit Jeeruphan

Subject Terms: Simulating deterministic behavior, Python program, Mathematical modelling, Simulation modelling, Area between curves

Static Security Assessment using Random Forest Based on Digsilent-Python Simulation

Authors: Eko Agus Murjito Kevin M. Banjar-Nahor Rizky Rahmani et al.

Source: 2021 3rd International Conference on High Voltage Engineering and Power Systems (ICHVEPS). :591-595

Subject Terms: 7. Clean energy

A simple verification of non-linear dynamic model based on Python simulation

Authors: Feifan Gao Yubo Liu

Source: 2021 2nd International Conference on Intelligent Design (ICID). :153-160

Python simulation of heating and cooling of Extruded tubes using Excel as interface

Authors: Qurbani, Moshteba

Index Terms: Nickel-based stainless-steel, Cooling processes, Thermal simulation, Finite difference method, Python, Excel integration, Computational accuracy, ANSYS comparison, Industrial applications, Nickelbaserat rostfritt stål, Kylprocesser, Termisk simulering, Finit differensmetod, Excel-integration, Beräkningsprecision, ANSYS-jämförelse, Industriella applikationer, Metallurgy and Metallic Materials, Metallurgi och metalliska material, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351024
TRITA-ITM-EX ; 2024:157

The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model

Authors: Krüger, Marcel

Fractal Forecast — Python Simulation Code for Noise-Resilient Weather Modeling

Authors: Leclerc, Dominic

Statistical evaluation of mechanical load on technicians during electric vehicle battery replacement using Python simulation

Authors: Xulong Dai

Source: Molecular & Cellular Biomechanics. 21:492

Structured PREreview of 'The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model.'

Authors: Marcel Krüger

Subject Terms: Structured PREreview

Teaching Undergraduate Students Heterogeneous Electrocatalytic Water Oxidation Using Cyclic Voltammetry and Python Simulation

Authors: Jingjing Qiu Anneke Moeller Janet Zhen et al.

Source: ECS Meeting Abstracts. :2901-2901

Subject Terms: 13. Climate action, 4. Education, 7. Clean energy

MiniDES - Lightweight Python Simulation Framework for Interconnected Renewable Resources

Authors: Jonas Schlund Julian Reisenweber Reinhard German

Source: 2019 IEEE Green Energy and Smart Systems Conference (IGESSC). :1-7