Results 41 to 50 of about 8,879,776 (186)
Frequency Dependent Microseisms Sources: A Case Study in Oregon
Abstract The origin of microseisms—whether from deep‐ocean sources or coastal reflections—has been debated for decades. In this study, we use Distributed Acoustic Sensing (DAS) and Ocean Bottom Seismometer data collected offshore Oregon to investigate microseisms sources across a range of frequency bands. Our results reveal a clear frequency dependence:
Han Xiao +3 more
wiley +1 more source
Da saída: religião da saída da religião, arte da saída da arte
Neste ensaio, procurarei compreender a recusa da sacralização da arte – e a negação do museu como lugar de culto dessa nova religião –, partindo de uma análise de um movimento religioso que se caracteriza por ter recusado o antigo sagrado e negado as formas elementares da religião arcaica: o cristianismo.
openaire +3 more sources
Abstract We proposed a method for estimating focal mechanisms based on S/P amplitude ratios from distributed acoustic sensing (DAS) records for single earthquakes and successfully obtained the mechanisms from four events. This method involves measuring the maximum amplitude ratio between the S‐ and P‐waves of the DAS records, followed by searching for ...
Y. Funabiki, M. Miyazawa
wiley +1 more source
du du los amol da da sege da no da da sege da no
»losn«: zuhören, horchen (vgl. Pohl 2007, 139); »sege«: jener, -e, -es (vgl. Pohl 2007, 165)
Straub, Wolfgang +2 more
openaire +1 more source
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
Text line detection is crucial for any application associated with Automatic Text Recognition or Keyword Spotting. Modern algorithms perform good on well-established datasets since they either comprise clean data or simple/homogeneous page layouts.
Diem, Markus +4 more
core +1 more source
Abstract Distributed acoustic sensing (DAS) has emerged as a promising seismic technology for monitoring microearthquakes (MEQs) with high spatial resolution. Efficient algorithms are needed for processing large DAS data volumes. This study introduces a deep learning (DL) model based on a Residual Convolutional Neural Network (ResNet) for detecting ...
Pengliang Yu +4 more
wiley +1 more source
Arif Khan,1,* Fahad A Alhumaydhi,2 Ameen SS Alwashmi,2 Khaled S Allemailem,2 Mohammed A Alsahli,2 Faris A Alrumaihi,2 Ahmad Almatroudi,2 Mugahid A Mobark,3,4 Ayman Mousa,1,5 Masood A Khan1,* 1Department of Basic Health Sciences, College of Applied ...
Khan A +9 more
doaj
Symbol detection in online handwritten graphics using Faster R-CNN
Symbol detection techniques in online handwritten graphics (e.g. diagrams and mathematical expressions) consist of methods specifically designed for a single graphic type. In this work, we evaluate the Faster R-CNN object detection algorithm as a general
Hirata, Nina S. T. +1 more
core +1 more source
Abstract Recent distributed acoustic sensing (DAS) experiments in ocean areas throughout the world have accumulated records for various wavefields. However, there are few tsunami records because tsunami observation depends on the DAS experimental period and its location.
T. Tonegawa, E. Araki
wiley +1 more source
Prototipo DAS basado en FPGA de 12 canales para monitoreo geodinámico
La directriz del presente proyecto crear un sistema de adquisición y grabación de señales sísmicas que sea compacto, confiable y flexible para adaptarse a las necesidades de trabajar en estaciones de monitoreo volcánico y sísmico.
Wilson Enríquez +2 more
doaj +1 more source

