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The algorithm consists of two modules: data processing module and incident detection module.
The Bayesian network based incident detection module is used to store and manage general expert traffic knowledge, and to perform coherent reasoning to detect incidents.
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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.
In fall detection module, a coarse-to-fine strategy is devised to verify fall incidents.
The code includes the poselet detection module.
The idler wavelength at 3.343 μm is reflected and sent to one up-conversion detection module, while the signal photon at 2.89 μm is transmitted through the bandpass filter to the second up-conversion detection module.
The hardware control system mainly includes single-chip microcomputer control module, path detection module, steering gear steering module, motor driver module, speed detection module and power management module.
In the late 1980s psychologists Leda Cosmides and John Tooby theorised the human brain has innate mechanisms for information-processing and amongst the various modules regulating social discourse there is a distinct "cheater detection module".
The ILD consists of three different modules: a sharp corner detection module, a jerk-limited module, and a dynamics module.
The second is a reliable Byzantine behaviour detection module.
Cloudwide incident detection.
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