4,342 research outputs found
Using a Time-based Subarray Method to Extract and Invert Noise-derived Body Waves at Long Beach, California
The reconstruction of body waves from the cross‐correlation of random wavefields has recently emerged as a promising approach to probe the fine‐scale structure of the Earth. However, because of the nature of the ambient noise field, the retrieval of body waves from seismic noise recordings is highly challenging and has only been successful in a few cases. Here, we use seismic noise data from a 5,200‐node oil‐company survey to reconstruct body waves and determine the velocity structure beneath Long Beach, California. To isolate the body wave energy from the ambient noise field, we divide the entire survey into small‐aperture subarrays and apply a modified double‐beamforming scheme to enhance coherent arrivals within the cross‐correlated waveforms. The resulting beamed traces allow us to identify clear refracted P waves traveling between different subarray pairs, which we then use to construct a high‐resolution 3D velocity model of the region. The inverted velocity model reveals velocity variations of the order of 3% and strong lateral discontinuities caused by the presence of sharp geologic structures such as the Newport‐Inglewood fault (NIF). Additionally, we show that the resolution that is achieved through the use of high‐frequency body waves allows us to illuminate small geometric variations of the NIF that were previously unresolved with traditional passive imaging methods
Imaging urban hidden faults with ambient noise recorded by dense seismic arrays
The identification of preexisting near-surface faults represents a piece of
crucial information needed to correctly assess the seismic hazard of any area.
The mapping of these structures is particularly challenging in densely
populated and heavily urbanized areas. We use ambient seismic noise recorded by
a dense array in Seal Beach, California, to image shallow fault lines via a
reflected surface wave analysis. Our results highlight the presence of
previously unknown shallow faults that correlate remarkably well with shallow
seismicity and active survey images
Using a Time-based Subarray Method to Extract and Invert Noise-derived Body Waves at Long Beach, California
The reconstruction of body waves from the cross‐correlation of random wavefields has recently emerged as a promising approach to probe the fine‐scale structure of the Earth. However, because of the nature of the ambient noise field, the retrieval of body waves from seismic noise recordings is highly challenging and has only been successful in a few cases. Here, we use seismic noise data from a 5,200‐node oil‐company survey to reconstruct body waves and determine the velocity structure beneath Long Beach, California. To isolate the body wave energy from the ambient noise field, we divide the entire survey into small‐aperture subarrays and apply a modified double‐beamforming scheme to enhance coherent arrivals within the cross‐correlated waveforms. The resulting beamed traces allow us to identify clear refracted P waves traveling between different subarray pairs, which we then use to construct a high‐resolution 3D velocity model of the region. The inverted velocity model reveals velocity variations of the order of 3% and strong lateral discontinuities caused by the presence of sharp geologic structures such as the Newport‐Inglewood fault (NIF). Additionally, we show that the resolution that is achieved through the use of high‐frequency body waves allows us to illuminate small geometric variations of the NIF that were previously unresolved with traditional passive imaging methods
Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc
[EN] We propose in this paper an algorithm for available bandwidth estimation in mobile ad hoc networks and its integration into a conventional routing protocol like AODV for improving the rate-adaptive video streaming. We have introduced in our approach a local estimation of the available bandwidth as well as a prediction of the consumed bandwidth. This information allows video application to adjust its transmission rate avoiding network congestion. We conducted a performance evaluation of our solution through simulation experiments using two network scenarios. In the simulation study, transmission of video streams encoded with the H.264/MPEG-4 advanced video coding standard was evaluated. The results reveal performance improvements in terms of packet loss, delay and PSNR.Castellanos, W.; Guerri Cebollada, JC.; Arce Vila, P. (2019). Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc. International Journal of Wireless Information Networks. 26(3):218-229. https://doi.org/10.1007/s10776-019-00431-0S21822926
The State of Education Savings Account Programs in the United States
Arguably the most strongly promoted approach by voucher advocates is a new form of government subsidy for private education, Education Savings Accounts (ESAs). Parents are provided a set sum which they can use for a variety of educational services including private school tuition and fees, online courses, extracurricular activities and private tutoring. Students enrolled in an ESA program are not allowed to concurrently attend a public school. This policy brief examines this emerging policy, considering similarities and differences with conventional voucher approaches, and examining the legal issues that the policy raises
Performance Evaluation of Scalable Video Streaming in Mobile Ad hoc Networks
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.The development of video streaming services on wireless ad hoc networks is a challenge task as a consequence of different limitations such as bandwidth-constrained, variable capacity links and energy-constrained operation. Moreover, the dynamic topology of nodes causes frequent link failures and high error rates. We propose in this paper a performance evaluation of the scalable video streaming over mobile ad hoc networks. In particular, we focus on the rate-adaptive strategy for streaming scalable video (H.264/SVC). In order to provide QoS mechanisms in the routing process, a new routing protocol is introduced. This protocol estimates the available bandwidth value, which is sent to video source in order to adapt the bit rate during the video transmission. We also propose a simulation framework that supports evaluation studies for scalable video streaming. In the simulation experiments, SVC streams with combined scalability (quality and temporal scalability) were used. As quality scalability method, we used Medium Grain Scalability (MGS). The results reveal that the rate-adaptive method helps avoid or reduce the congestion in MANETs obtaining a better quality in the received videos.Castellanos, W.; Guerri Cebollada, JC.; Arce Vila, P. (2016). Performance Evaluation of Scalable Video Streaming in Mobile Ad hoc Networks. IEEE Latin America Transactions. 14(1):122-129. http://hdl.handle.net/10251/83347S12212914
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