The Mocoa tragedy: Example of a retrospective without an end point in the management of the risk of disasters detonated by natural events?

Santamaría, Jorge Eduardo Vásquez; Vélez, Martha Isabel Gómez; Hincapié, Hernán Darío Martínez

doi:10.14482/dere.50.0007

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of the obtained rules suggest profiles that are consistent with studies that have been done in Colombia, like the rule that states Ibague as the municipality where enforced disappearance is occurring which agrees with [19] where they state Ibague as the second city with more forced displacements in the country. For the case of the rule that shows as missing cause death for the people reported in Mocoa, it can be deeply related with the fact that in such city in April 2017 about 300 people died because of a flash flood as reported in [20].…”

Section: Discussionmentioning

confidence: 99%

Computational Model to Support the Detection of Profiles of Missing Person in Colombia.

Agudelo

Herrera‐Viedma

Gaona-García

2021

View full text Add to dashboard Cite

In the world and some countries like Colombia, the number of missing person is a phenome very worrying and growing, every year, thousands of people are reported missing all over the world, the fact that this keeps happening might indicate that there are still analyses that have not been done and tools that have not been considered in order to find patterns in the information of missing person. The present article presents a study of the way informatics and computational tools can be used to help find missing person and what patterns can be found in missing person datasets using as a study case open data about missing person in Colombia in 2017. The goal of this study is to review how computational tools like data mining and image analysis can be used to help find missing person and draw patterns in the available information about missing person. For this, first it will be review of the state of art of image analysis in real world applications was made in order to explore the possibilities when studying the photos of missing person, then a data mining process with data of missing person in Colombia was conducted to produce a set of decision rules that can explain the cause of the disappearance, as a result is generated decision rules algorithm suggest links between socioeconomic stratification, age, gender and specific locations of Colombia and the missing person reports. In conclusion, this work reviews what information about missing person is available publicly and what analysis can me made with them, showing that data mining and face recognition can be useful tools to extract patterns and identify patterns in missing person data.

show abstract

Section: Discussionmentioning

confidence: 99%

Computational Model to Support the Detection of Profiles of Missing Person in Colombia.

Agudelo

Herrera‐Viedma

Gaona-García

2021

View full text Add to dashboard Cite

show abstract

Validación experimental de un método analítico para el monitoreo de movimientos de tierra en masa mediante sensores de fibra óptica

Hidalgo-Monsalve

Álvarez-Guerrero

Sierra-Pérez

et al. 2022

Cien.Ing.Neogranadina

View full text Add to dashboard Cite

En este trabajo se presenta la implementación de un sistema para el monitoreo de movimientos de tierra en masa conformado por un prototipo de perfil del suelo, una red de sensores fotónicos basados en rejillas de Bragg y un sistema de interrogación. El prototipo del suelo fue reproducido mediante materiales poliméricos que representan las capas del suelo, generalmente involucradas en eventos de deslizamientos de tierra. La red de sensores fue conformada por inclinómetros compuestos por barras cilíndricas de fibra de vidrio instrumentadas con sensores fotónicos basados en rejillas de Bragg, distribuidos de forma uniforme sobre el prototipo del suelo. El sistema de interrogación se compuso en sí mismo por un dispositivo interrogador empleado para capturar la información arrojada por los sensores en forma de desviaciones de la longitud de onda de Bragg, cuyos valores fueron relacionados posteriormente con las deformaciones de los inclinómetros mediante un algoritmo de procesamiento de señales, para arrojar resultados de la detección de movimientos. Los resultados experimentales muestran que el algoritmo analítico implementado puede generar un vector que indica la dirección de un eventual movimiento de tierra en masa a partir de la medida de deformaciones en los inclinómetros ópticos implementados con un error promedio de 3°. De acuerdo con los bajos niveles de error obtenidos, se demuestra que la propuesta de red de sensores fotónicos es una herramienta prometedora para el monitoreo de deslizamientos de tierra orientado a la disminución de los efectos socioeconómicos que causan los desastres naturales.

show abstract

The Mocoa tragedy: Example of a retrospective without an end point in the management of the risk of disasters detonated by natural events?

Cited by 2 publications

References 0 publications

Computational Model to Support the Detection of Profiles of Missing Person in Colombia.

Computational Model to Support the Detection of Profiles of Missing Person in Colombia.

Validación experimental de un método analítico para el monitoreo de movimientos de tierra en masa mediante sensores de fibra óptica

Contact Info

Product

Resources

About