scholarly journals Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing

2011 ◽  
Vol 3 (6) ◽  
pp. 1234-1250 ◽  
Author(s):  
Conrad Bielski ◽  
Simone Gentilini ◽  
Marco Pappalardo
2019 ◽  
Vol 8 (4) ◽  
pp. 3103-3105

Identification of crack or damage inside a structure is not possible with traditional methods. In this study piezoelectric sensors are introduced into structure using before placement of concrete and to be in precise sensors act as artificial aggregate. Specimen is taken under three point bending test. A damage characteristic of the beam is studied by using high-voltage pulse emitter, to give a electric signal and recording is made. Extensometer is used to measure the crack and images of the crack should be captured. Final results are plotted in digital image processing to conclude the damage characteristics.


Author(s):  
Manuel Bolaños González ◽  
José María Muñoz ◽  
Mario Montenegro

Resumen En este proyecto se planteó la integración de un prototipo de malla computacional con un clúster heterogéneo fuertemente acoplado, con el propósito de aprovechar la capacidad de computo de estas tecnologías en el procesamiento de imágenes digitales obtenidas a través de un satélite durante el monitoreo del volcán Galeras. En el desarrollo de la investigación se utilizaron cuatro computadores, en los que mediante máquinas virtuales se implementó un prototipo de malla computacional y un prototipo del clúster. Estas máquinas se comunican a través de uno de los servicios de la malla, permitiendo enviar información de una imagen digital al clúster para realizar el tratamiento y el proceso de renderización de la imagen en paralelo, posteriormente se regresa el archivo resultante a la malla computacional, así los usuarios especializados pueden tomar decisiones relacionadas con procesos de sismografía o verificación de la emisión de ozono entre otros. Palabras clave: Malla computacional; clúster; middleware; procesamiento de imágenes; renderización.   Abstract This project integrated a grid computing prototype with a tightly-coupled heterogeneous cluster, in order to leverage the computing power of these technologies in processing digital satellite images during the monitoring of the Galeras volcano. In the development of the research, four computers were used in which a prototype of grid computing and a cluster were implemented by using virtual machines. These machines of the cluster are communicating via one of the services of the grid, allowing delivering information digital from an image to the cluster for processing it and rendering it in parallel, then the resulting file is returned to the grid computing; thus, specialized users can make decisions related to processes or verification seismographic ozone emissions among others. Keywords: grid computing; cluster; middleware; image processing; rendering.


2021 ◽  
Vol 13 (14) ◽  
pp. 7925
Author(s):  
Hafiz Suliman Munawar ◽  
Ahmed W. A. Hammad ◽  
S. Travis Waller ◽  
Muhammad Jamaluddin Thaheem ◽  
Asheem Shrestha

Rapid advances that improve flood management have facilitated the disaster response by providing first aid services, finding safe routes, maintaining communication and developing flood maps. Different technologies such as image processing, satellite imagery, synthetic imagery and integrated approaches have been extensively analysed in the literature for disaster operations. There is a need to review cutting-edge technologies for flood management. This paper presents a review of the latest advancements in the flood management domain based on image processing, artificial intelligence and integrated approaches with a focus on post-disaster. It answers the following research questions: (1) What are the latest developments in image processing for flood management in a post-disaster scenario? (2) What are the latest techniques for flood management based on artificial intelligence in a post-disaster scenario? (3) What are the existing gaps in the selected technologies for post-disaster? (4) How can the authorities improve the existing post-disaster management operation with cutting-edge technologies? A novel framework has been proposed to optimise flood management with the application of a holistic approach.


1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.


2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.


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