32,637 research outputs found
Outlier detection techniques for wireless sensor networks: A survey
In the field of wireless sensor networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to wireless sensor networks due to the nature of sensor data and specific requirements and limitations of the wireless sensor networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the wireless sensor networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier identity, and outlier degree
On the topology of conformally compact Einstein 4-manifolds
In this paper we study the topology of conformally compact Einstein
4-manifolds. When the conformal infinity has positive Yamabe invariant and the
renormalized volume is also positive we show that the conformally compact
Einstein 4-manifold will have at most finite fundamental group. Under the
further assumption that the renormalized volume is relatively large, we
conclude that the conformally compact Einstein 4-manifold is diffeomorphic to
and its conformal infinity is diffeomorphic to .Comment: 16 page
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