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In the development of Poisson mixed-effects model (PMM), it is assumed that the distribution of random effects is normal. The normality assumption is likely to be violated in many practical researches. In this paper, we develop a semi parametric Bayesian approach for PMM by using a truncated and centered Dirichlet process (TCDP) prior to specify the distribution of random effects. A hybrid algorithm...
Simulation training system can improve the trainer's ability, a rapid response and safety operating capability in the operation of real ship, to reduce operation accident of sailing. Intelligent examination scoring system uses the professional theory and practical experience as the evaluation criteria, and analyzes the operator's operation process to realize the automatic scoring through the program...
With the development of remote sensing technology, remote sensing data frequency-intensive has received and processed, the demand of remote sensing applications has kept an increasing growth. The management and planning for multi-source remote sensing data processing became very complicated with the evolution of remote sensed application requests. The way of effect management and scheduling can improve...
A system optimization framework based on design of experiment (DOE) and simulation is proposed. Simulation is effective in the optimization of many complex systems, however, it is time consuming and tough. DOE can reduce the number of test cases drastically while ensuring input combination is of wise coverage of design space. A framework incorporating simulation and DOE is proposed, which provides...
The quantitative evaluation of system-of-systems architecture is a very important content in the research area of system-of-systems. The framework of system-of-systems analysis process and method of system-of-systems architecture description are reviewed. A new approach of system-of-systems architecture evaluation is proposed. The proposed evaluation approach is a bi-level approach. In the higher...
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in any clusters, these methods are likely to lead to undesired results. To address this issue, this paper presents a new approach called bipolar grouping that is targeted on extracting the groups from the data while excluding...
To study the material support system, build a simulate system is an efficient way. The complicity of the material support system is analyzed, the similarities and differences of the mission for materials, transport system, and support stations to carry out is proposed; then an element mission model for general use is constructed, based on which the multi-level mission model is set up and expressed;...
Near-infrared (NIR) spectroscopy is a kind of non-destructive technology, which has many advantages. Infrared spectrum is highly characteristic and can be used to analyze and identify. However, researches and applications of NIR spectroscopy in plant classification and growth monitoring are still rare. This paper conducted NIR spectroscopy experiments on Cinnamomum camphora and Aceraceaedie leaves...
Distance metric is critical to the performance of intrusion detection systems. Frequency weighted Hamming distance (FWHD) fully exploits system call distribution information contained in normal traces, and possesses richer information compared to Hamming distance. Our experiments show that FWHD behaves better than Hamming distance when used for system call anomaly detection.
The changes of the target's visual appearance often lead to tracking failure in practice. Hence, trackers need to be adaptive to non-stationary appearances to achieve robust visual tracking. However, the risk of adaptation drift is common in most existing adaptation schemes. This paper describes a bi-subspace model that stipulates the interactions of two different visual cues. The visual appearance...
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