Results 101 to 110 of about 49,516 (286)

Unraveling Information from Seismic Signals Generated by Gravitational Mass Movements

Geosciences
A practical analysis of the spectrograms of the seismic data generated by gravitational mass movements (GMMs), such as snow avalanches, landslides, lahars, and debris flows recorded on one sensor, is presented.
Emma Suriñach, Elsa Leticia Flores-Márquez   +1 more
doaj   +1 more source

Upper Limit on Gravitational Wave Backgrounds at 0.2 Hz with Torsion-bar Antenna

, 2011
We present the first upper limit on gravitational wave (GW) backgrounds at an unexplored frequency of 0.2 Hz using a torsion-bar antenna (TOBA). A TOBA was proposed to search for low-frequency GWs.
Akiteru Takamori, Hirotaka Takahashi, Kenshi Okada, Kimio Tsubono, Koji Ishidoshiro, Masaki Ando, Nobuyuki Kanda, Nobuyuki Matsumoto, P. Astone, P. R. Saulson, Wataru Kokuyama, Yoichi Aso   +11 more
core   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source

Toward Long Range Detection of Elephants Using Seismic Signals: A Geophone-Sensor Interface for Embedded Systems

IEEE Access
The long-distance detection of the presence of elephants is pivotal to addressing the human-elephant conflict. IoT-based solutions utilizing seismic signals originating from the movement of elephants are a novel approach to solving this problem.
Jaliya L. Wijayaraja, Janaka L. Wijekoon, Malitha Wijesundara, L. J. Mendis Wickramasinghe   +3 more
doaj   +1 more source

Footstep and Vehicle Detection Using Slow and Quick Adaptive Thresholds Algorithm

International Journal of Distributed Sensor Networks, 2013
An algorithm is developed for footstep, vehicle, and rain detection using seismic sensors operating in a wireless sensor network. Each standalone seismic sensor is coupled with a wireless node, and alarm conditions were evaluated at the sensor rather ...
Gökhan Koç, Korkut Yegin
doaj   +1 more source

Scientific Rationale and Requirements for a Global Seismic Network on Mars [PDF]

, 1991
Following a brief overview of the mission concepts for a Mars Global Network Mission as of the time of the workshop, we present the principal scientific objectives to be achieved by a Mars seismic network.
Anderson, Don L., Banerdt, W. Bruce, Butler, Rhett G., Davis, Paul M., Duennebier, Frederick K., Nakamura, Yosio, Okal, Emile A., Phillips, Roger J., Solomon, Sean C.   +8 more
core   +1 more source

Is It Possible to Predict Strong Earthquakes?

, 2014
The possibility of earthquake prediction is one of the key open questions in modern geophysics. We propose an approach based on the analysis of common short-term candidate precursors (2 weeks to 3 months prior to strong earthquake) with the subsequent ...
Polyakov, Yuriy S., Ryabinin, Gennadiy V., Solovyeva, Anna B., Timashev, Serge F.   +3 more
core   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

A segmented capacitance tomography for visualizing material distributions in pipeline conveying crude palm oil [PDF]

, 2012
A segmented electrical capacitance tomography (ECT) imager for palm oil process monitoring system is constructed and presented in this work.The goal of this study is to use the process monitoring system as an instrument to upkeep the local and ...
Mohamad, Elmy Johana
core  

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source