Mostrando ítems 41-44 de 44

Computational tool for learning electrostatic physics through the development of a disruptive methodology

Ramírez Carvajal, Luis Eduardo; Puerto, Karla; Castro Casadiego, Sergio (Journal of Physics: Conference SeriesReino Unido, 2022-01-05)

A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, Gauss’s law, Poisson’s equation, ...
A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Parada Rozo, Diego Andres; Rego, Cassio; Guevara-Ibarra, Dinael; Navarro, Andres; Ramos, Glaucio; Oliveira, Rodrigo (Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2023-06)

This paper presents a radiopropagation algorithm based on a Ray Tracing (RT) technique that combines a modified multipath model for constant refractivity gradient profiles and the Uniform Theory of Diffraction (UTD). A ...
Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

Kaewnukultorn, Thunchanok; Sepúlveda, Sergio; Broadwater, Robert; Tsoutsos, Nektarios Georgios; Hegedus, Steven (IEEE Access, 2023-08-23)

This paper evaluates residential smart photovoltaic (PV) inverters’ responses to cyberattacks and assesses the performance of an intrusion detection strategy for smart grid devices by comparing timeseries power flow results ...
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model

Becerra Moreno, Dorance; Machuca-Martínez, Fiderman; Maturana Cordoba, Aymer Yeferson; Villamizar, Salvador; SOTO VERJEL, JOSEPH WBEIMAR; Soto Vergel, Angelo Joseph (Ingeniería e InvestigaciónBogotá,Colombia, 2023-12-13)

Advanced oxidation processes such as TiO2/UV heterogeneous photocatalysis are suitable treatment methods for wastewater with high pollutant loads such as landfill leachates. Optimizing the variables that ...

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Computational tool for learning electrostatic physics through the development of a disruptive methodology
...
Ramírez Carvajal, Luis Eduardo | 2022-01-05

A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, Gauss’s law, Poisson’s equation, and Laplace’s equation with boundary value. The tool was tested using reference exercises for each case study, making use of quantitative and qualitative comparative analysis between the traditional mathematical development and the computational tool. Errors were measured using Likert scale. The quantitative results showed errors of less than 1.8% in all the cases studied, concluding that the tool is effective. The qualitative results showed that the methodology allows a better development of the electrostatics learning process, dynamizing the study of complex topics such as electromagnetic physics theories through interactivity and technological resources, in addition to having a theoretical module developed using agile methodologies that provide dynamism and an intuitive environment to the interface.

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$Portada A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles$

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles
...
Parada Rozo, Diego Andres | 2023-06

This paper presents a radiopropagation algorithm based on a Ray Tracing (RT) technique that combines a modified multipath model for constant refractivity gradient profiles and the Uniform Theory of Diffraction (UTD). A novel formulation is proposed by the authors for calculation and ground-reflection analysis of ray paths depending on atmospheric refractivity. The algorithm introduced herein was evaluated in a mixed scenario and in two more realistic case studies, under conditions of constant refractivity gradient and lossy terrain profiles. Pathloss results are obtained and compared with Parabolic Equation (PE) numerical solution results at 2.0 GHz, 3.5 GHz and 5.4 GHz. In such conditions, the modified radiopropagation multipath algorithm with atmospheric refractivity introduced herein showed satisfactory results.

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Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility
...
Kaewnukultorn, Thunchanok | 2023-08-23

This paper evaluates residential smart photovoltaic (PV) inverters’ responses to cyberattacks and assesses the performance of an intrusion detection strategy for smart grid devices by comparing timeseries power flow results from a simulation application called Faster Than Real-Time (FTRT) Simulator to measurements from a Power Hardware-in-the-Loop (P-HIL) laboratory as a testbed. Twenty different cyberattacks from three classes - Denial of Service (DoS), Intermittent attack, and Modification - were designed and tested with grid-tied smart inverters in order to study the inverters’ responses to malicious activities. The intrusion detection strategy was developed using a comparison between the predicted PV power output from FTRT and the power flows measured from P-HIL laboratory through the API interface. Real and reactive power thresholds were assigned based on a number of repeated experiments to ensure the applicability of the thresholds. The results showed that inverters from different manufacturers have their own unique responses which could be detected by the power flow measurements. Our detection method could identify over 94% of actual malicious actions and 7.4% of no-attack hours are detected as false positives. Out of 38 under-attack hours, 2 undetected hours are due to the intermittent attacks. Different attacks can be detected based on the targeted components of the complex power that attackers are aiming to cause disturbances. Our findings additionally show that DoS can be noticed immediately after the devices have been sabotaged, and they can be detected from the active power analysis. However, modification attack detection will depend more on the reactive power measurements, while intermittent attacks remain the most challenging for the proposed detection method since the objective of intermittent attacks is to create an oscillation of the complex power components which need a relatively high time resolution for the measurement.

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Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model
...
Becerra Moreno, Dorance | 2023-12-13

Advanced oxidation processes such as TiO2/UV heterogeneous photocatalysis are suitable treatment methods for wastewater with high pollutant loads such as landfill leachates. Optimizing the variables that influence the process is a fundamental aspect. However, in this regard, experimental conditions are limited in terms of resources and time, which is why modeling allows obtaining a general understanding of the phenomenon from a set of experimental data. This work sought to model the photocatalytic process via multivariate polynomial regression, considering variables such as the catalyst concentration, the pH level, and the accumulated energy concerning the percentage of degradation in terms of dissolved organic carbon (DOC). The implemented fitting method resulted in a third-degree polynomial with an R2 of 0,8652, concluding that the model and its conclusions are valid. Moreover, with greater degrees, the model curve overfitted, even with better R2. DOC abatement showed a negative correlation with pH and the catalyst dose, while an opposite trend was observed for the accumulated energy. The model predictions allow inferring that, at low catalyst doses and medium and high pH levels, it is possible to find maximum degradations at low cumulative energies

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Listar Grupo de Investigación y Desarrollo en Electrónica y Telecomunicaciones – GIDET por fecha de publicación

Computational tool for learning electrostatic physics through the development of a disruptive methodology

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model

Envíos recientes

Computational tool for learning electrostatic physics through the development of a disruptive methodology

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model

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Listar Grupo de Investigación y Desarrollo en Electrónica y Telecomunicaciones – GIDET por fecha de publicación

Computational tool for learning electrostatic physics through the development of a disruptive methodology ﻿

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles ﻿

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility ﻿

Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model ﻿

Envíos recientes

Computational tool for learning electrostatic physics through the development of a disruptive methodology

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model

Portales Institucionales

Computational tool for learning electrostatic physics through the development of a disruptive methodology

A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model