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This paper proposes a combination of data mining and natural language processing technology, try to analyze students' learning behavior and content in MOOCs interactive part, to dig their learning interest, difficulty, tendencies, to evaluate their homework effect, through the interaction between teachers and students, students posting, homework or answer content, preventing of cheating behavior,...
Domain-specific modelling is used to construct and realise the different application models upon the same specific domain for software reuse. The paper integrates domain-specific modelling and web service techniques with model-driven development, and proposes a unified approach named SODSMI (Service Oriented executable Domain-Specific Modelling and Implementation) to build the executable domain-specific...
Identifying an accurate model of the stagnation pressure on-line will benefit the design of the controller and improve the quality of the wind tunnel experiments. This paper focuses on the recursive identification of the stagnation pressure in the wind tunnel system. Based on the study of the aforementioned system structure, the stagnation pressure system is expressed by a block oriented model with...
This paper presents a fault diagnosis technique for high-resistance connection (HRC) in nine-phase flux switching permanent magnet (FSPM) machine, which is based on zero sequence voltage components (ZSVC). Firstly, a nine-phase FSPM machine topology is introduced and no-load back electromotive force (EMF) waveforms are analyzed. Then the nine-phase FSPM machine with HRC is modeled and the influence...
Analysis of flight safety risk coupling plays an important role to prevent flight accidents. In this paper, a topological analysis based on fuzzy network theory is presented to reveal the complex coupling relationship of interrelated risks in flight safety system. The connotation of flight safety risk coupling is presented, and the integration research of fuzzy sets and complex network is introduced...
Tensor decomposition of fMRI data has gradually drawn attention since it can explore the multi-way data's structure which exists inherently in brain imaging. For multi-subject fMRI data analysis, time shifts occur inevitably among different participants, therefore, shift-invariant tensor decomposition should be used. This method allows for arbitrary shifts along one modality, and can yield satisfactory...
In this paper, we proposed a nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter test-bed which may be subjected to unknown external disturbance and contains structure uncertainties. Regulation and tracking control design are proposed for the angles of elevation, pitch and travel axes. Numerical simulation results are provided to illustrate that...
Because the traditional fault diagnosis methods had shortcomings, such as that the diagnosis speed was slow and it was hard to accurately fix the faults taking place at one time when it was diagnosing the complicated system or equipment, the fault diagnosis technology based on Elman neural network and trouble dictionary were introduced here. With the major failure of certain mould aircraft autopilot's...
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