1 |
Clayton, R. W., T. Heaton, M. Chandy, A. K. Krause, M. Kohler, J. Bunn, R. Guy, M. Olson, M. Faulkner, M. Cheng, L. Strand, R. Chandy, D. Obenshain, A. Liu and M. Aivazis, 2011, Community Seismic Network, Ann. Geophys. 54, 738-747.
|
2 |
Cochran, E., J. Lawrence, C. Christensen and A. Chung, 2009, A novel strong-motion seismic network for community participation in earthquake monitoring, IEEE Instrum. Meas. Mag. 12, 8-15.
|
3 |
D'Alessandro, A., D. Luzio and G. D'Anna, 2014, Urban MEMS based seismic network for post-earthquakes rapid disaster assessment, Adv. Geosci. 40.40, 1-9.
DOI
|
4 |
Dunn, P. T., A. Y. Ahn, A. Bostrom and J. E. Vidale, 2016, Perceptions of earthquake early warnings on the US West Coast, Int. J. Disast. Risk Re. 20, 112-122.
|
5 |
Feng, M., Y. Fukuda, M. Mizuta and E. Ozer, 2015, Citizen sensors for SHM: Use of accelerometer data from smartphones, Sensors 15.2, 2980-2998.
DOI
|
6 |
Cartwright, J., 2016, Technology: smartphone science, Nature 531.7596, 669-671.
DOI
|
7 |
Hsieh, C. Y., Y. M. Wu, T. L. Chin, K. H. Kuo, D. Y. Chen, K, S, Wang, Y. T. Chan, W. Y. Chang, W. S. Li and S. H. Ker, 2014, Low Cost Seismic Network Practical Applications for Producing Quick Shaking Maps in Taiwan. Terr. Atmos. Ocean. Sci. 25.5, 617-624.
DOI
|
8 |
Finazzi, F. and Fasso, A., 2017, A statistical approach to crowdsourced smartphone-based earthquake early warning systems, Stoch. Env. Res. Risk A. 31.7, 1649-1658.
DOI
|
9 |
Finazzi, F., 2016, The earthquake network project: Toward a crowdsourced smartphone-based earthquake early warning system, B. Seismol. Soc. Am. 106.3, 1088-1099.
DOI
|
10 |
Haddadi, H., A. Shakal, M. Huang, J. Parrish, C. Stephens, W. Savage and W. Leith, 2012, Report on progress at the center for engineering strong motion data (CESMD), In Proc. World Conf. Earthq. Eng., Lisbon, 1-7.
|
11 |
InvenSense, 2014, MPU-6500 Product Specification Revision 1.1.
|
12 |
Kim, Y., T. S. Kang and J. Rhie, 2017, Development and Application of a Real-Time Warning System Based on a MEMS Seismic Network and Response Procedure for the Day of the National College Entrance Examination in South Korea, Seismol. Res. Lett. 88.5, 1322-1326.
DOI
|
13 |
Kong, Q., Allen, R. M., Schreier, L. and Y. W. Kwon, 2016a, MyShake: A smartphone seismic network for earthquake early warning and beyond, Science Adv. 2.2, e1501055.
DOI
|
14 |
Kong, Q., R. M. Allen and L. Schreier, 2016b, MyShake: Initial observations from a global smartphone seismic network, Geophys. Res. Lett. 43.18, 9588-9594.
DOI
|
15 |
Krizhevsky, A., I. Sutskever and G. E. Hinton, 2012, Imagenet classification with deep convolutional neural networks, In Adv. Neur. In. 1097-1105.
|
16 |
Yang, D., G. Xue, X. Fang and J. Tang, 2012, Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing. In Proc. Int. Conf. Mob. Comp. Networking, Istanbul, 173-184.
|
17 |
Pierleoni, P., S. Marzorati, C. Ladina, S. Raggiunto, A. Belli, L. Palma, M. Cattaneo and S. Valenti, 2018, Performance Evaluation of a Low-Cost Sensing Unit for Seismic Applications: Field Testing During Seismic Events of 2016-2017 in Central Italy, IEEE Sens. J. 18.16, 6644-6659.
DOI
|
18 |
Qiuping, W., Z. Shunbing and D. Chunquan, 2011, Study on key technologies of Internet of Things perceiving mine, Procedia Engineer. 26, 2326-2333.
DOI
|
19 |
Shrestha, A., J. Dang and X. Wang, 2018, Development of a smart-device-based vibration-measurement system: Effectiveness examination and application cases to existing structure. Struct. Control Health Monit. 25.3, e2120.
DOI
|
20 |
Zambrano, A. M., I. Perez, C. Palau and M. Esteve, 2017, Technologies of internet of things applied to an earthquake early warning system, Future Gener. Comp. Sy. 75, 206-215.
DOI
|