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In this paper, we propose a cluster-based senone selection method to speed up the computation of deep neural networks (DNN) at the decoding time of speech recognition. In DNN-based acoustic models, the large number of senones at the output layer is one of the main causes that lead to the high computation complexity of DNNs. Inspired by the mixture selection method designed for the Gaussian mixture...
We propose a novel approach to discover workflow models from event logs. The proposed approach addresses two major limitations of current process mining approaches. First, they assume either a single workflow model for the entire event log or the availability of workflow ids that can be used to group logs associated with the same workflow model together. Nonetheless, these assumptions are oversimplified...
XQuery Update Facility (XQUF), which provides a declarative way of updating XML, has become recommendation by W3C. The SQL/XML standard, on the other hand, defines XMLType as a column data type in RDBMS environment and defines the standard SQL/XML operator, such as XML Query() to embed XQuery to query XMLType column in RDBMS. Based on this SQL/XML standard, XML enabled RDBMS becomes industrial strength...
The Gaussian mixture model (GMM) has been widely used in pattern recognition problems for clustering and probability density estimation. Given the number of mixture components (model order), the parameters of GMM can be estimated by the EM algorithm. The model order selection, however, remains an open problem. For classification purpose, we propose a discriminative model selection method to optimize...
Physically-based modeling is used in virtual assembly system to improve the feeling of immersion and make the evaluation results convinced. The handling of unilateral constraints is the capstone of modeling physical behaviors. To take advantage of both impulse-based method and analytical method, hybrid scheme for adaptive simulation is presented, where the constraint states can be transited automatically...
CIMS (Computer Integrated Manufacture System) is a unified system that the production process control, production management and intelligent decision are composed. It is used to improve the economic benefit of enterprise, realize flexible production, adapt to market changes. Therefore, intelligent management of CIMS plays an important influence. This paper has analyzed the functional structure of...
The effect of aggregated parasitoid on a host-parasitoid system are investigated qualitatively by computer simulation. Our numerical simulations show that the aggregation of parasitoid can stabilize the population dynamics when the density-dependent effects of host is weak, while it can also destabilize the system when the density-dependent effect of host is strong. A variety of complex population...
In this paper, a combined intelligent technique is introduced for the trajectory tracking control of a nonholonomic wheeled mobile robot (WMR), which comprises an interval type-2 fuzzy kinematic control (IT2-FKC) and an interval type-2 fuzzy terminal sliding-mode dynamic control (IT2-FTSMDC). Firstly, an interval type-2 fuzzy logic controller designed for the kinematic model of the WMR is introduced,...
In this paper, computer simulation is used to study the dynamic complexities of a host-parasitoid interaction with a Hassell growth function for the host and Holling-type functional response. Many forms of complex dynamic are observed, including quasiperiodic bands with periodic windows, Hopf bifurcation, period-doubling bifurcations, period-halving bifurcations, attractor crisis, intermittent chaos,...
Density estimation in high-dimensional data spaces is a challenge due to the sparseness of data which is known as ldquothe curse of dimensionalityrdquo. Researchers often resort to low-dimensional subspaces for such tasks, while discard the distribution in the complementary subspace. In this paper, we propose a new mixture density model based on pooled subspace. In our method, the Gaussian components...
A trained neural network can be used for high-level design, providing fast and accurate answers to the task it has learned. Neural networks are effective alternatives to conventional methods such as statistical and stochastic modeling methods, which could be computationally expensive, or analytical methods which could be difficult to obtain for new environments, or empirical modeling solutions whose...
Based on stationary wavelet packet transform and Hilbert transform, the paper proposes a fault detection algorithm, which adaptively extracts the fault characteristic component of the signal. Firstly, the algorithm uses one-level stationary wavelet packet transform to decompose the signal into low- and high-frequency sub-bands. Subsequently, Hilbert transform is used to obtain the instantaneous frequency...
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