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Emerging large-scale scientific applications have a critical need for high bandwidth and predictable-performance network service. The OptIPuter project is pioneering a radical, new type of distributed application paradigm which exploits dedicated optical circuits to tightly couple geographically-dispersed resources. These private optical paths are set up(More)
Figure 1. Locations and names of three ocean-bottom seis-mographs (OBS) used to locate events and NOAA-PMEL's bottom-pressure recorder (BPR). All located earthquakes are shown as green dots. Purple star indicates location of water-column anomaly as recorded during OBS deployments. Lower right figure shows outline of 1998 flow (Em-bley et al., 1999) compared(More)
Collaborative visualization of large-scale datasets across geographically distributed sites is becoming increasingly important for Earth Sciences. Not only does it enhance understanding of the geological systems, but also enables near-real-time scientific data acquisition and exploration across distant locations. While such a collaborative environment is(More)
With the proliferation of sensors it is becoming increasingly difficult to discover and access sensor data of interest. Currently, most researchers and sensor data users access data from sensors that they build by themselves or from known sensor network run by their friends; rarely do they try to find sensor data of interest that are maintained by other(More)
The Ocean Observatories Initiative (OOI) will implement ocean sensor networks covering a diversity of oceanic environments, ranging from the coastal to the deep ocean. Construction will begin in Fall 2009, with deployment phased over five years. The integrating feature of the OOI is a comprehensive Cyberinfrastructure (CI), whose design is based on(More)
As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to conduct cross-disciplinary research and monitoring operations that rely on several signal domains simultaneously. To that end, the real-time observatories, applications and data(More)
The aim of the present study is to investigate and explore the capability of the multilayer perceptron neural network to classify seismic signals recorded by the local seismic network of Agadir (Morocco). The problem is divided into two main steps, the feature extraction step and classification step. In the former, relevant discriminant features are(More)
Long-term observations of seismic activity and ground deformation at mid-ocean ridges and submarine volcanoes are required for an understanding of the spatial and temporal characteristics of magma transport and intrusion. To make precise Ž. records of tilt on the seafloor we have installed short baseline tiltmeters in six ocean bottom seismometers TILT-OBS(More)
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