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SOSEWIN

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Journal Article
Published: 01 September 2009
Seismological Research Letters (2009) 80 (5): 755–771.
... origin in the vision of providing to the wider community a low-cost system relying on modern wireless technology ( Figure 1B ). This system, termed the Self-organizing Seismic Early Warning Information Network (SOSEWIN), will be characterized by the following features: Each seismological sensing...
FIGURES | View All (9)
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Self‐Organizing Seismic Early Warning Information Network (<b>SOSEWIN</b>) install...
Published: 05 July 2016
Figure 2. Self‐Organizing Seismic Early Warning Information Network (SOSEWIN) installations in the Central Asia Institute for Applied Geosciences (CAIAG) building (black triangles) and borehole sensors (gray triangles). Top left panel, view from south; top right panel, view from north; bottom
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Analysis of the strong-motion record of a  3D  <b>SOSEWIN</b>  node obtained by th...
Published: 01 October 2011
Figure 14. Analysis of the strong-motion record of a 3D SOSEWIN node obtained by the laboratory test shown in Figure  13 . (a) Raw data. (b) Velocity time series obtained integrated from the raw data and the trend correction (smooth lines) determined in this study. (c) Displacement time series
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(a), (b) Navelli’s city hall and installation of the  <b>SOSEWIN</b>  units. On 8 ...
Published: 01 April 2011
Figure 3. (a), (b) Navelli’s city hall and installation of the SOSEWIN units. On 8 April 2009 three wireless accelerometric stations were installed on different floors of the Navelli municipality building, and one station was deployed outside of it. (c) Signal recorded at the different levels
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The  <b>SOSEWIN</b>  wireless accelerometer: (a) the complete unit and (b) an inte...
Published: 01 April 2011
Figure 4. The SOSEWIN wireless accelerometer: (a) the complete unit and (b) an internal view.
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▴ How the <b>SOSEWIN</b> system compares with a standard network (in this case, th...
Published: 01 September 2009
Figure 1. ▴ How the SOSEWIN system compares with a standard network (in this case, the IERREWS, Istanbul). (A) A standard network consists of a relatively low number of stations that are linked to a central processing center, either directly or via another “gateway” station. (B) SOSEWIN
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▴ The general organization of <b>SOSEWIN</b>. The wireless metric parameter is a m...
Published: 01 September 2009
Figure 2. ▴ The general organization of SOSEWIN. The wireless metric parameter is a measure of the communications efficiency of the network. Note the subdivision of the network into clusters (solid boundary in the application layers, dashed boundary in the communication layer). The applications
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▴ Monitoring of <b>SOSEWIN</b> communication performance. (A) Link qualities. (B) ...
Published: 01 September 2009
Figure 8. ▴ Monitoring of SOSEWIN communication performance. (A) Link qualities. (B) Routing paths. The nodes 133.225 and 133.222 are the gateway nodes (see Figure 7 ). Note in the text that “forward” is from 133.225 to 133.222 and “backward” is from 133.222 to 133.225.
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▴ (A) Location map of Istanbul showing the Ataköy district, where the test...
Published: 01 September 2009
Figure 7. ▴ (A) Location map of Istanbul showing the Ataköy district, where the test-bed SOSEWIN is situated. (B) The location of the sensing nodes and gateways for the test SOSEWIN in the Ataköy district, Istanbul. (C) A typical SOSEWIN sensing node installation.
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Comparison of recordings for event ID2 made by the sensors located at the b...
Published: 01 April 2011
Figure 5. Comparison of recordings for event ID2 made by the sensors located at the base level of Navelli’s city hall. (a) Accelerograms recorded by the K2 Altus Kinemetric for the longitudinal, transversal, and vertical component, respectively. (b) Same as (a), but for the SOSEWIN
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Instruments deployed at MAJI. The station MAJ3 is installed in the school’s...
Published: 18 February 2015
Figure 2. Instruments deployed at MAJI. The station MAJ3 is installed in the school’s courtyard ground. The SOSEWIN stations are installed in the school’s inner walls.
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Illustration of the laboratory test of a low-cost accelerometer ( 3D  SOSEW...
Published: 01 October 2011
Figure 13. Illustration of the laboratory test of a low-cost accelerometer ( 3D SOSEWIN node of generation 2). The color version of this figure is available only in the electronic edition.
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▴ The general scheme followed for the seismological processing and analysis...
Published: 01 September 2009
Figure 4. ▴ The general scheme followed for the seismological processing and analysis that is being incorporated into the sensing nodes of SOSEWIN. Dark gray arrows indicate the continuous analysis of the data stream, while the white arrows show the analysis steps following the trigger
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(a) North–south component (corresponding to the transverse direction of the...
Published: 05 July 2016
Figure 3. (a) North–south component (corresponding to the transverse direction of the building) recordings of the borehole accelerometers (from −145 to 0 m) and the SOSEWIN sensors (2–13 m) of the M w  4.8 event that occurred on 15 March 2015 (ID 4, Table  1 ). Please note the two different
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(a) The predicted mean‐ σ , mean, and mean+ σ  PGV  values (gray, black, an...
Published: 22 July 2015
) The same as for (a), but for the recordings contaminated with Self Organizing Seismic Early Warning Information Network ( SOSEWIN ) noise.
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(a) The north–south recording of the 9 April 2009  M  L  5.1 aftershock of ...
Published: 22 July 2015
Figure 7. (a) The north–south recording of the 9 April 2009 M L  5.1 aftershock of the L’Aquila earthquake at the SOSEWIN station installed outside the City Hall of Navelli ( Picozzi et al. , 2011 ). (b) The observed (gray) and simulated (black) recordings at the top floor of the building
Journal Article
Published: 22 July 2015
Seismological Research Letters (2015) 86 (5): 1393–1404.
...) The same as for (a), but for the recordings contaminated with Self Organizing Seismic Early Warning Information Network ( SOSEWIN ) noise. ...
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Journal Article
Published: 01 April 2011
Bulletin of the Seismological Society of America (2011) 101 (2): 635–651.
...Figure 3. (a), (b) Navelli’s city hall and installation of the SOSEWIN units. On 8 April 2009 three wireless accelerometric stations were installed on different floors of the Navelli municipality building, and one station was deployed outside of it. (c) Signal recorded at the different levels...
FIGURES | View All (14)
Journal Article
Published: 18 February 2015
Seismological Research Letters (2015) 86 (2A): 398–412.
...Figure 2. Instruments deployed at MAJI. The station MAJ3 is installed in the school’s courtyard ground. The SOSEWIN stations are installed in the school’s inner walls. ...
FIGURES | View All (10)
Journal Article
Published: 01 October 2011
Bulletin of the Seismological Society of America (2011) 101 (5): 2029–2044.
...Figure 14. Analysis of the strong-motion record of a 3D SOSEWIN node obtained by the laboratory test shown in Figure  13 . (a) Raw data. (b) Velocity time series obtained integrated from the raw data and the trend correction (smooth lines) determined in this study. (c) Displacement time series...
FIGURES | View All (14)