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Even though incident detection algorithms are designed and implemented for quickly detecting incidents, the criterion of mean detection delay has hardly been well defined and utilized in developing and evaluating incident detection algorithms.
This paper presents an application of the wavelet technique to freeway incident detection because wavelet techniques have demonstrated superior performance in detecting changes in signals in electrical engineering.
With the evolution of technology incident detection and notification from remote traffic operation centers is possible and patrols to detect incidents are not necessary.
Cloudwide incident detection.
A cloud consumer must fulfill requirements to ensure effectiveness of the incident detection and analysis process.
In this paper we introduce the cloud incident detection system Security Audit as a Service (SAaaS).
This leads to an increased durability of the overall incident detection system.
These include incident detection, first response, planning and preparation referred to as initialization process class.
Event monitoring APIs ease systematic incident detection for cloud consumers and even third parties.
The algorithm consists of two modules: data processing module and incident detection module.
Selected incident detection algorithms were also compared with the CUSUM algorithms.
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