coverage planning, resource reservation and network monitoring for anomaly detection. This study focuses on the statistical analysis of the traffic load measured in a campus-wide IEEE802.11 infrastructure at each AP. Using the Singular Spectrum Analysis approach, we found that the time-series of traffic

Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor networks. To address issues of non-stationarity in environmental data streams, each sensor-processor learns statistical

-type dwarfs. There is, however, only one common abundance anomaly: extremely weak CO features. Only two of the 12 objects appeared to have normal levels of CO absorption. We interpret this as evidence of low carbon abundances. In addition, we detect 13 CO absorption in four of the 12 objects. Depleted levels

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such as unsupervised anomaly detection (UAD). UAD uses data mining techniques to extract patterns and uncover similar structures "hidden" in unlabeled traffic or unknown nature (attack or normal operation traffic), without relying on Digital signatures or baseline traffic profiles. Based on the observation

, health care, surveillance, fraud detection, scientific discovery and now a day's extensive usage in networking. Data mining supports supervised and unsupervised type of machine learning process. This paper uses the unsupervised learning process of data mining. For that the paper uses the wireless

by a fixed assignment of spectrum resources by regulatory agencies. This has resulted into a blind alley, as current wireless spectrum has become an expensive and a scarce resource. However, recent measurements in dense areas paint a very different picture: there is an actual underutilization

Wireless sensor networks are used to collect sensor data in different applications such as environmental monitoring, smart building control, and health care applications. Wireless sensor nodes used are typically small, low-cost, and battery powered. The nodes are often hard to access after

Abstract: Mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs) are two recently-developed technologies that uniquely function without xed infrastructure support, and sense at scales, resolutions, and durations previously not possible. While both offer great potential in many

April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: