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![▴ (A) Location map of Istanbul showing the Ataköy district, where the test...]()
![▴ How the <span class="search-highlight">SOSEWIN</span> system compares with a standard network (in this case, th...]()
![Comparison of recordings for event ID2 made by the sensors located at the b...]()
![(a), (b) Navelli’s city hall and installation of the <span class="search-highlight">SOSEWIN</span> units. On 8 ...]()
![The <span class="search-highlight">SOSEWIN</span> wireless accelerometer: (a) the complete unit and (b) an inte...]()
![Instruments deployed at MAJI. The station MAJ3 is installed in the school’s...]()
![Illustration of the laboratory test of a low-cost accelerometer ( 3D SOSEW...]()
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![Self‐Organizing Seismic Early Warning Information Network (<span class="search-highlight">SOSEWIN</span>) install...]()
![▴ Monitoring of <span class="search-highlight">SOSEWIN</span> communication performance. (A) Link qualities. (B) ...]()
![Analysis of the strong-motion record of a 3D <span class="search-highlight">SOSEWIN</span> node obtained by th...]()
![▴ The general organization of <span class="search-highlight">SOSEWIN</span>. The wireless metric parameter is a m...]()
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![▴ The general scheme followed for the seismological processing and analysis...]()
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![(a) The north–south recording of the 9 April 2009 M L 5.1 aftershock of ...]()
![(a) The predicted mean‐ σ , mean, and mean+ σ PGV values (gray, black, an...]()
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1-20 OF 31 RESULTS FOR
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Journal Article
The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 September 2009
Seismological Research Letters (2009) 80 (5): 755–771.
.... SOSEWIN will be a decentralized, self-organizing ad-hoc wireless mesh network (WMN). The early-warning decision-making is carried out within the WMN of sensing units, taking advantage of their communication capability and the design of suitable alarming processes. Thus, the alarming itself can be done...
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▴ (A) Location map of Istanbul showing the Ataköy district, where the test...
in The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
> Seismological Research Letters
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.
Image
▴ How the SOSEWIN system compares with a standard network (in this case, th...
in The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
> Seismological Research Letters
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
Image
Comparison of recordings for event ID2 made by the sensors located at the b...
in Interferometric Analysis of Strong Ground Motion for Structural Health Monitoring: The Example of the L’Aquila, Italy, Seismic Sequence of 2009
> Bulletin of the Seismological Society of America
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
Image
(a), (b) Navelli’s city hall and installation of the SOSEWIN units. On 8 ...
in Interferometric Analysis of Strong Ground Motion for Structural Health Monitoring: The Example of the L’Aquila, Italy, Seismic Sequence of 2009
> Bulletin of the Seismological Society of America
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
Image
The SOSEWIN wireless accelerometer: (a) the complete unit and (b) an inte...
in Interferometric Analysis of Strong Ground Motion for Structural Health Monitoring: The Example of the L’Aquila, Italy, Seismic Sequence of 2009
> Bulletin of the Seismological Society of America
Published: 01 April 2011
Figure 4. The SOSEWIN wireless accelerometer: (a) the complete unit and (b) an internal view.
Image
Instruments deployed at MAJI. The station MAJ3 is installed in the school’s...
in Earthquake Early Warning System for Schools: A Feasibility Study in Southern Italy
> Seismological Research Letters
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.
Image
Illustration of the laboratory test of a low-cost accelerometer ( 3D SOSEW...
in An Improved Automatic Scheme for Empirical Baseline Correction of Digital Strong-Motion Records
> Bulletin of the Seismological Society of America
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.
Journal Article
On‐Site Early Warning and Rapid Damage Forecasting Using Single Stations: Outcomes from the REAKT Project
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 22 July 2015
Seismological Research Letters (2015) 86 (5): 1393–1404.
..., starting from the prototype of Straser and Kiremidjian (1998) and continuing with the realization of the Self‐Organizing Seismic Early Warning Information Network ( SOSEWIN ) system ( Fleming et al. , 2009 ; Fischer et al. , 2012 ), ad hoc sensors for responding to most of the above‐mentioned tasks...
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Self‐Organizing Seismic Early Warning Information Network (SOSEWIN) install...
in Joint Deconvolution of Building and Downhole Strong‐Motion Recordings: Evidence for the Seismic Wavefield Being Radiated Back into the Shallow Geological Layers
> Bulletin of the Seismological Society of America
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
Image
▴ Monitoring of SOSEWIN communication performance. (A) Link qualities. (B) ...
in The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
> Seismological Research Letters
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.
Image
Analysis of the strong-motion record of a 3D SOSEWIN node obtained by th...
in An Improved Automatic Scheme for Empirical Baseline Correction of Digital Strong-Motion Records
> Bulletin of the Seismological Society of America
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
Image
▴ The general organization of SOSEWIN. The wireless metric parameter is a m...
in The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
> Seismological Research Letters
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
Journal Article
Interferometric Analysis of Strong Ground Motion for Structural Health Monitoring: The Example of the L’Aquila, Italy, Seismic Sequence of 2009
Publisher: Seismological Society of America
Published: 01 April 2011
Bulletin of the Seismological Society of America (2011) 101 (2): 635–651.
...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...
FIGURES
| View All (14)
Image
▴ The general scheme followed for the seismological processing and analysis...
in The Self-organizing Seismic Early Warning Information Network (SOSEWIN)
> Seismological Research Letters
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
Journal Article
Earthquake Early Warning System for Schools: A Feasibility Study in Southern Italy
Journal: Seismological Research Letters
Publisher: Seismological Society of America
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)
Image
(a) The north–south recording of the 9 April 2009 M L 5.1 aftershock of ...
in On‐Site Early Warning and Rapid Damage Forecasting Using Single Stations: Outcomes from the REAKT Project
> Seismological Research Letters
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
Image
(a) The predicted mean‐ σ , mean, and mean+ σ PGV values (gray, black, an...
in On‐Site Early Warning and Rapid Damage Forecasting Using Single Stations: Outcomes from the REAKT Project
> Seismological Research Letters
Published: 22 July 2015
) The same as for (a), but for the recordings contaminated with Self Organizing Seismic Early Warning Information Network ( SOSEWIN ) noise.
Image
(a) North–south component (corresponding to the transverse direction of the...
in Joint Deconvolution of Building and Downhole Strong‐Motion Recordings: Evidence for the Seismic Wavefield Being Radiated Back into the Shallow Geological Layers
> Bulletin of the Seismological Society of America
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
Journal Article
An Improved Automatic Scheme for Empirical Baseline Correction of Digital Strong-Motion Records
Publisher: Seismological Society of America
Published: 01 October 2011
Bulletin of the Seismological Society of America (2011) 101 (5): 2029–2044.
...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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