IoT Based Earthquake Prediction Technology

被引：5

作者：

Pirmagomedov, Rustam ^{[1
]}

Blinnikov, Mikhail ^{[2
]}

Amelyanovich, Alexey ^{[2
]}

Glushakov, Ruslan ^{[3
]}

Loskutov, Svyatoslav ^{[4
]}

Koucheryavy, Andrey ^{[2
]}

Kirichek, Ruslan ^{[2
]}

Bobrikova, Ekaterina ^{[1
]}

机构：

[1] Peoples Friendship Univ Russia RUDN Univ, 6 Miklukho Maklaya St, Moscow 117198, Russia

[2] St Petersburg State Univ Telecommun, St Petersburg 193232, Russia

[3] Mil Med Acad, St Petersburg 194044, Russia

[4] FSBSI ARRIAM, St Petersburg 196608, Russia

来源：

INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2018 | 2018年 / 11118卷

关键词：

IoT; Earthquake prediction; Inertial sensors; Big data; Computer vision; BEHAVIOR; ANIMALS;

D O I：

10.1007/978-3-030-01168-0_48

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The article presents results of the first stage of the development of an animal monitoring system using IoT technology. Data on animal behavior collected using the system should confirm or refute the thesis about the ability of some animal species to respond to signs of an approaching earthquake. The article provides a review of the previous works on this topic and formulates new tasks, the solution of which will improve the previously available methodologies on the use of animals as a biosensor. The system exploits inertial sensors and computer vision to collect data on animal behavior. Data processing and analysis is carried out on the central server. It is expected that in the case of a systemic cause (for example, signs of an approaching earthquake) non-standard animal behavior should be massive.

引用

页码：535 / 546

页数：12

共 20 条

[1]

Ahmadi M., 2017, 2017 5 IR JOINT C FU

[2] Seismic activity prediction using computational intelligence techniques in northern Pakistan [J].

Asim, Khawaja M. ;

Awais, Muhammad ;

Martinez-Alvarez, F. ;

Iqbal, Talat .

ACTA GEOPHYSICA, 2017, 65 (05) :919-930

[3]

Bhargava K., 2017, 2017 INT C COMP NETW

[4]

Bhargava N., 2009, INDIAN J BIOMECHANIC, V7, P8

[5] Performance Evaluation of Neural Networks for Animal Behaviors Classification: Horse Gaits Case Study [J].

Cerezuela-Escudero, E. ;

Rios-Navarro, A. ;

Dominguez-Morales, Juan P. ;

Tapiador-Morales, R. ;

Gutierrez-Galan, D. ;

Martin-Canal, C. ;

Linares-Barranco, A. .

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, (DCAI 2016), 2016, 474 :377-385

[6]

Chandrakant N., 2011, INT J ELECTROCOMPUT, V1

[7]

Danilov K., 2018, IOT BASED EARTHQUAKE

[8]

Desai P, 2015, IEEE INT CONF MO, P313, DOI [10.1109/MS.2015.51, 10.1109/MobServ.2015.51]

[9] Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Donana [J].

Dominguez-Morales, J. P. ;

Rios-Navarro, A. ;

Dominguez-Morales, M. ;

Tapiador-Morales, R. ;

Gutierrez-Galan, D. ;

Cascado-Caballero, D. ;

Jimenez-Fernandez, A. ;

Linares-Barranco, A. .

IEEE COMMUNICATIONS LETTERS, 2016, 20 (12) :2534-2537

[10]

Fan J., 2010, 2010 17 IEEE INT C I

← 1 2 →