Currently, the number of sulfur hexafluoride (SF6) circuit breakers in the ultra-high voltage networks of 110 kV and higher is growing. Switches are installed both at new electric power facilities and at existing faci...
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The proceedings contain 86 papers. The topics discussed include: guiding P2P control traffic using DHTS;survivable network design using polyhedral approaches;voice messaging for mobile delay-tolerant networks;k-dense ...
ISBN:
(纸本)9781424489534
The proceedings contain 86 papers. The topics discussed include: guiding P2P control traffic using DHTS;survivable network design using polyhedral approaches;voice messaging for mobile delay-tolerant networks;k-dense communities in the Internet as-level topology;energy efficient resource allocation in mobile ad hoc computational grids;loss behavior analysis and its application in design of link quality metrics;flexible playout adaptation for low delay AAC RTP communication;application architecture considerations for cloud platforms;the local and global effects of traffic shaping in the Internet;CrowdLab: an architecture for volunteer mobile testbeds;minimizing content provisioning cost in heterogeneous social wireless networks;distributed detection with censoring of sensors in Rayleigh faded channel;and scalability of a distributed virtual environment based on a structured peer-to-peer architecture.
Reducing false positives while detecting anomalies is of growing importance for various industrial applications and mission-critical infrastructures, including satellite systems. Undesired false positives can be costl...
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ISBN:
(纸本)9781450368599
Reducing false positives while detecting anomalies is of growing importance for various industrial applications and mission-critical infrastructures, including satellite systems. Undesired false positives can be costly for such systems, bringing the operation to a halt for human experts to determine if the anomalies are true anomalies that need to be mitigated. Although rule-based or machine learning-based anomaly detection approaches have been studied, a tensor-based decomposition method has not been extensively explored. In this work, we introduce an Integrative Tensor-based Anomaly Detection (ITAD) framework to detect anomalies in a satellite system with the goal of minimizing false positives. We construct 3rd-order tensors with telemetry data collected from the Korea Multi-Purpose Satellite-2 (KOMPSAT-2) and calculate the anomaly score using one of the component matrices obtained by applying CANDECOMP/PARAFAC decomposition to detect anomalies. Our result shows that our tensor-based approach outperforms existing methods, achieving higher accuracy and lower false positive rates. And we successfully deployed our anomaly detection system in real KOMPSAT-2 mission operation.
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