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As is well known, these two options theoretically give identical carbon emission distribution.
Figure 6 Emission distribution of CH (432 nm) in different operation regimes of APRFD.
This can be viewed as creating another Markov model with emission distribution (6).
From the observational results, the shapes of emission distribution are classified into three types.
The method builds on the fact that the emission, distribution and final effects can be measured with precision.
The standard single scatter simulation (SSS) algorithm [77] simulates the scatter distribution based on a first reconstruction of the emission distribution and the density map.
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An alternative is the exponentially weighted product of emission distributions: (7).
The advantage of DNNs in modeling state emission distributions, when compared to the conventional GMM, has been discussed in some previous publications, e.g., [1,2].
At the second step, the internal phonon transmittance is calculated for the internal simulation units according to the internal boundary phonon emission distributions.
A new method is presented which is designed to investigate whether laboratory test data used in the development of vehicle emission models adequately reflects emission distributions, and in particular the influence of high-emitting vehicles.
In this paper, we further investigate the family of asymmetric hidden Markov models (HMM-As), which generalize the emission distributions to arbitrary Bayesian-network distributions, allowing for state-specific graphical structures in the feature space.
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