Anomaly detection is the double purpose of discovering interesting exceptions and identifying incorrect data in huge amounts of data. Since anomalies are rare events, which violate the frequent relationships among data. Normally anomaly detection builds models of normal behavior and automatically detects significant deviations from it. The proposed system detects the anomalies in nested XML doc...

Abstract. We discuss the propagation of spectral line and continuum radiation in a clumpy medium and give general expressions for the observed absorption or emission from a cloud population. We show that the affect of the medium clumpiness can usually be characterised by a single number multiplying the mean column opacity. Our result provides a simpler proof and generalization of the result of ...

Exposure to human immunodeficiency virus (HIV) is a recognized occupational hazard to healthcare personnel. The virus also presents an operational hazard to deployed Special Operations Forces (SOF) personnel. Management guidelines for work related exposure to HIV mainly deal with healthcare workers in a first world hospital environment. Formal guidelines for postexposure prophylaxis (PEP) regar...

In the electrical grid, the distribution system is the most vulnerable to severe weather events. Well-placed and coordinated upgrades, such as the combination of microgrids, system hardening and additional line redundancy, can greatly reduce the number of electrical outages during extreme events. Indeed, it has been suggested that resilience is one of the primary benefits of networked microgrid...

We can encode rare events with overhead about 1.56 bits/event. The contribution of the overhead to the total length of the code is negligible. The encoding and decoding time counted in operations over bits per bit of the code does not depend on the number of appearances of the events. We present also algorithms of the same speed which enumerate the pyramid cubic lattices with overhead about 1.5...

Ð A framework for analyzing social vulnerability is outlined, an aspect largely underemphasized in assessments of the impacts of climate change and climate extremes. Vulnerability is de®ned in this paper as the exposure of individuals or collective groups to livelihood stress as a result of the impacts of such environmental change. It is constituted by individual and collective aspects which ca...

However, hydrologists and ecologists are still woefully incapable of answering the question, “How much hydrologic alteration is too much for an aquatic or riparian ecosystem?” This is not to say that we haven’t learned a great deal about the influence of hydrologic variation and extreme events on species and natural communities or key ecosystem processes such as nutrient transport and cycling. ...

We present TECA, a parallel toolkit for detecting extreme events in large climate datasets. Modern climate datasets expose parallelism across a number of dimensions: spatial locations, timesteps and ensemble members. We design TECA to exploit these modes of parallelism and demonstrate a prototype implementation for detecting and tracking three classes of extreme events: tropical cyclones, extra...

Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. We present a novel method to fully reconstruct MODIS daily LST products for ce...