I suggest citing the Web and attached ducument for Free Field Strong Earthquake Observation Network

abstract An investigation was made to determine the feasibility of isolating the effects of site conditions on strong earthquake accelerograms. The set of accelerograms recorded simultaneously in 1952 at the roof, in the basement and on the ground outside the 14-story Hollywood Storage Building was chosen for analysis. Fourier spectra were computed for the two horizontal components at each of the three recording places and were used after smoothing to compute the ratios of spectra for adjacent points. Dynamic models of the subsurface conditions, the foundation and the building were established. Certain of the spectral ratios were also determined theoretically. The primary result is the development of a method of isolating effects of site conditions in Fourier spectra of accelerograms. Good theoretical checks were obtained on soil-structure interaction and structural response in the east-west direction. The absence of bedrock accelerograms prevented the obtaining of a theoretical check on free-field amplification, although plausible bedrock Fourier spectra were obtained. The subsurface model should be useful for further analyses.

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The Applied Research of Real-Time Monitoring System for Earthquake

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.143-144.837 ◽

2010 ◽

Vol 143-144 ◽

pp. 837-840

Author(s):

Ying Li Liu ◽

Te Liang Yan ◽

Zhen Jiang

Keyword(s):

Seismic Response ◽

Real Time ◽

Monitoring System ◽

Strong Earthquake ◽

Applied Research ◽

Low Frequency ◽

Observation System ◽

Low Frequencies ◽

Earthquake Observation ◽

Type Apparatus

In the vibration isolating foundation buildings, build strong earthquake observation system, at the same time, join the seismic observation to this system, underground observation is carrying along with the observation of the seismic response on the ground and the buildings. The dynamic accelerator-type apparatus applied in the system, comes into being an accelerator-characteristics from 0.05HZ to 50HZ by electronics feeding back, enormously decrease affects of super low frequency interference and the linear and dynamic ranges can suffice the actual functions, avoids obviously errors of displacement-type apparatus in low frequencies, acquires satisfied effects.

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A 2dof-type vibration control with a remote seismic waveform obtained through the earthquake observation network

The Proceedings of Mechanical Engineering Congress Japan ◽

10.1299/jsmemecj.2019.j10325 ◽

2019 ◽

Vol 2019 (0) ◽

pp. J10325

Author(s):

Kazuhiko HIRAMOTO ◽

Taichi MATSUOKA ◽

Katsuaki SUNAKODA

Keyword(s):

Vibration Control ◽

Seismic Waveform ◽

Observation Network ◽

Earthquake Observation

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A Note on Micro-Earthquake Observation Network

Terrestrial and Space Techniques in Earthquake Prediction Research ◽

10.1007/978-3-322-86323-2_4 ◽

1979 ◽

pp. 105-114

Author(s):

Setumi Miyamura ◽

Makoto Saito

Keyword(s):

Observation Network ◽

Earthquake Observation

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Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors

Geoscientific Instrumentation Methods and Data Systems ◽

10.5194/gi-7-235-2018 ◽

2018 ◽

Vol 7 (3) ◽

pp. 235-243

Author(s):

Jyh-Woei Lin ◽

Chun-Tang Chao ◽

Juing-Shian Chiou

Keyword(s):

Neural Network ◽

Free Field ◽

Strong Motion ◽

Monitoring Network ◽

Research Area ◽

Backpropagation Neural Network ◽

Learning Rates ◽

Marquardt Algorithm ◽

Levenberg Marquardt ◽

Earthquake Observation

Abstract. A new modified elementary Levenberg–Marquardt Algorithm (M-LMA) was used to minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the Chi-Chi earthquake from four seismic stations: Station-TAP003, Station-TAP005, Station-TCU084, and Station-TCU078 belonging to the Free Field Strong Earthquake Observation Network, with the learning rates of 0.3, 0.05, 0.2, and 0.28, respectively. For these four recording stations, the M-LMA has been shown to produce smaller predicted errors compared to the Levenberg–Marquardt Algorithm (LMA). A sudden predicted error could be an indicator for Early Earthquake Warning (EEW), which indicated the initiation of strong motion due to large earthquakes. A trade-Off decision-making process with BPNN (TDPB), using two alarms, adjusted the threshold of the magnitude of predicted error without a mistaken alarm. With this approach, it is unnecessary to consider the problems of characterising the wave phases and pre-processing, and does not require complex hardware; an existing seismic monitoring network-covered research area was already sufficient for these purposes.

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Variational assimilation of web camera-derived estimates of visibility for Alaska aviation

Experimental Results ◽

10.1017/exp.2020.66 ◽

2021 ◽

Vol 2 ◽

Author(s):

Jacob R. Carley ◽

Michael Matthews ◽

Matthew T. Morris ◽

Manuel S. F. V. De Pondeca ◽

Jenny Colavito ◽

...

Keyword(s):

Variational Analysis ◽

Situational Awareness ◽

Variational Assimilation ◽

Horizontal Visibility ◽

Aviation Accidents ◽

Observation Network ◽

Low Visibility ◽

Web Camera ◽

The Impact ◽

The Web

Abstract The Real Time Mesoscale Analysis (RTMA), a two-dimensional variational analysis algorithm, is used to provide hourly analyses of surface sensible weather elements for situational awareness at spatial resolutions of 3 km over Alaska. In this work we focus on the analysis of horizontal visibility in Alaska, which is a region prone to weather related aviation accidents that are in part due to a relatively sparse observation network. In this study we evaluate the impact of assimilating estimates of horizontal visibility derived from a novel network of web cameras in Alaska with the RTMA. Results suggest that the web camera-derived estimates of visibility can capture low visibility conditions and have the potential to improve the RTMA visibility analysis under conditions of low instrument flight rules and instrument flight rules.

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The Effect of Nonlinear Amplitude Growth on the Speech Perception Benefits Provided by a Single-Sided Vocoder

Journal of Speech Language and Hearing Research ◽

10.1044/2018_jslhr-h-18-0001 ◽

2019 ◽

Vol 62 (3) ◽

pp. 745-757 ◽

Cited By ~ 2

Author(s):

Jessica M. Wess ◽

Joshua G. W. Bernstein

Keyword(s):

Transfer Functions ◽

Spatial Configuration ◽

Free Field ◽

Spatial Separation ◽

Compression And Expansion ◽

Interaural Difference ◽

Interaural Differences ◽

Single Sided Deafness ◽

Perceptual Separation ◽

Loudness Growth

PurposeFor listeners with single-sided deafness, a cochlear implant (CI) can improve speech understanding by giving the listener access to the ear with the better target-to-masker ratio (TMR; head shadow) or by providing interaural difference cues to facilitate the perceptual separation of concurrent talkers (squelch). CI simulations presented to listeners with normal hearing examined how these benefits could be affected by interaural differences in loudness growth in a speech-on-speech masking task.MethodExperiment 1 examined a target–masker spatial configuration where the vocoded ear had a poorer TMR than the nonvocoded ear. Experiment 2 examined the reverse configuration. Generic head-related transfer functions simulated free-field listening. Compression or expansion was applied independently to each vocoder channel (power-law exponents: 0.25, 0.5, 1, 1.5, or 2).ResultsCompression reduced the benefit provided by the vocoder ear in both experiments. There was some evidence that expansion increased squelch in Experiment 1 but reduced the benefit in Experiment 2 where the vocoder ear provided a combination of head-shadow and squelch benefits.ConclusionsThe effects of compression and expansion are interpreted in terms of envelope distortion and changes in the vocoded-ear TMR (for head shadow) or changes in perceived target–masker spatial separation (for squelch). The compression parameter is a candidate for clinical optimization to improve single-sided deafness CI outcomes.

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