Recent years have witnessed pilot deployments of inexpensive wireless sensor networks (WSNs) for active volcano monitoring. This paper studies the problem of picking arrival times of primary waves (i.e., P-phases) received by seismic sensors, one of the most critical tasks in volcano monitoring. Two fundamental challenges must be addressed. First, it is virtually impossible to download the real...

Recognizing seismic waves immediately is very important for the realization of efficient disaster prevention. Generally these systems consist of a network of seismic detectors that send real time data to a central server. The server elaborates the data and attempts to recognize the first signs of an earthquake. The current problem with this approach is that it is subject to false alarms. A crit...

We consider here the interaction of direct and inverse cascades in a hierarchical nonlinear system that is continuously loaded by external forces. The load is applied to the largest element and is transferred down the hierarchy to consecutively smaller elements, thereby forming a direct cascade. The elements of the system fail (i. e., break down) under the load. The smallest elements fail first...

tehran, iran’s capital with a population of more than 10 million is located in the southern foothills of the alborz collision zone. the alborz mountain belt of northern iran results from the collision of a piece of the gondwana with eurasia in the late triassic (sengor et al., 1988). the alborz active mountain range which consists of several sedimentary and volcanic layers, with east-west trend...

Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificia...

The seismic data taken in California and Japan are mapped to growing random networks. It is shown in the undirected network picture that these earthquake networks are scale-free and small-work networks with the power-law connectivity distributions, the large values of the clustering coefficient, and the small values of the average path length. It is demonstrated how the present network approach...

The district of southern California is divided into small cubic cells. Each cell is regarded as a vertex of a random graph, when earthquakes with any values of magnitude occur therein. Successive earthquakes define an edge and a loop. Then, the seismic data are analyzed from the viewpoint of an evolving random network. It is found that the distribution of connectivities in the earthquake networ...

This paper studies the performance of a wireless sensor network (WSN) with cognitive radio (CR) capabilities to gather information about structural health monitoring (SHM) of buildings in case of seismic activity. The system performance is evaluated in terms of energy consumption and average packet delay using a discrete event simulator. In order to efficiently use the resources of the network ...

Several recent studies have used the coherence of seismic noise between stations to retrieve the phase slowness and attenuation. However, there is considerable debate on the feasibility of attenuation retrieval, its interpretation, and its dependence on the noise directionality and has been the subject of several analytical and numerical studies. In this article, we perform a detailed analysis ...

| We examine a classiication problem in which seismic waveforms of Natural Earthquakes are to be distinguished from waveforms of Man-Made Explosions. We present an Integrated Classiication Machine (ICM) which is a hierarchy of Artiicial Neural Networks (ANN) that are trained to classify the seismic waveforms. In order to maximize the gain of combining the multiple ANNs, we suggest to construct ...