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The online identification of subsynchronous oscillation (SSO) became possible with a wide application of wide area measurement system. However, there is more power electronic equipment in the power system. So, there are strong interference noises in the sampled signal, and the veracity of vibration modal parameters is influenced. The fast independent component analysis (FastICA) could separate noise signal from the observed signal. This study presented the pretreatment of sampling signal through the FastICA and the identification of the SSO parameter through matrix pencil (MP). The recognition accuracy could be enhanced based on FastICA–MP. This study sets the ideal example and the IEEE first benchmark model as the simulation examples. The simulation results show that the FastICA could separate noise signal effectively, and the MP identification accuracy is improved. The research result lays the foundations for the design of supplementary subsynchronous damping controller. [ABSTRACT FROM AUTHOR]

The online identification of subsynchronous oscillation (SSO) became possible with a wide application of wide area measurement system. However, there is more power electronic equipment in the power system. So, there are strong interference noises in the sampled signal, and the veracity of vibration modal parameters is influenced. The fast independent component analysis (FastICA) could separate noise signal from the observed signal. This study presented the pretreatment of sampling signal through the FastICA and the identification of the SSO parameter through matrix pencil (MP). The recognition accuracy could be enhanced based on FastICA–MP. This study sets the ideal example and the IEEE first benchmark model as the simulation examples. The simulation results show that the FastICA could separate noise signal effectively, and the MP identification accuracy is improved. The research result lays the foundations for the design of supplementary subsynchronous damping controller.

Interactive segmentation has recently become a hot topic for its wide application. The authors propose an efficacious appearance separation model for interactive binary segmentation, which incorporates the difference of foreground and background colour models and the difference of corresponding geodesic models into the popular densely connected conditional random field (Dense CRF) framework. The proposed method can adaptively set relevant parameter values in this framework according to the characteristics of target images in a per‐image manner, therefore, it gets rid of the dependence on specific datasets. After accomplishing a mean‐field inference, the authors are able to get satisfactory results without the time‐consuming parameter learning process and multiple iterative optimisations. Overall, the proposed approach is highly efficient and mitigates the contradiction between accuracy and segmentation efficiency. In addition, the proposed approach reduces the efforts of scribble‐style interaction from users. The experimental results on three famous datasets show that the proposed method is superior to the other five new algorithms released in recent years regarding accuracy, and is faster than or close to them in runtime. [ABSTRACT FROM AUTHOR]

• The preparation methods of glass containing CsPbX 3 quantum dots are summarized. • Crystallization behavior of glass containing CsPbX 3 quantum dots is summarized. • The luminescence mechanism of glass containing CsPbX 3 quantum dots is summarized. • Applications of glass containing CsPbX 3 quantum dots are summarized. • The future development of glass containing CsPbX 3 quantum dots is predicted. The glass containing CsPbX 3 (X = Cl, Br, I) perovskite quantum dots (CsPbX 3 QDs@glass) has a wide range of applications in the fields of optoelectronic devices, photocatalysis, and sensors due to their tunable emission, high-efficiency luminescence, narrow-band emission, and high stability. The synthesis method, crystallization process, photoluminescence mechanism, spectral modulation, and application of the CsPbX 3 QDs@glass are introduced, and the conditions for obtaining high transparency and excellent optical properties are discussed in detail. The achievement of research in recent years is summarized and the future challenges of the CsPbX 3 QDs@glass for the application are also discussed. It is expected that this review can provide valuable insights into the current status of CsPbX 3 QDs@glass and stimulate new ideas and further research on their practical applications. [ABSTRACT FROM AUTHOR]

• The preparation methods of quantum dots embedded glass ceramics are summarized. • Crystallization behavior of quantum dots embedded glass ceramics is summarized. • The luminescence mechanism of QDs embedded glass ceramics is summarized. • Applications of quantum dots embedded glass ceramics are summarized. • The future development of quantum dots embedded glass ceramics is predicted. Quantum dots (QDs) embedded glass ceramics have been widely studied in laser crystals, LEDs, optical fiber amplifiers, optoelectronic devices, photocatalysts and sensors owing to the size dependent multicolor fluorescence emissions, crystal field controllability, high transparency and stability, and high temperature sensitivity. The rapid advancements of QDs embedded glass ceramics are reviewed in detail. The synthetic methods, crystallization theory, spectral modulation, nonlinear optical property, photoluminescence mechanism, and applications of QDs embedded glass ceramics are exhibited. The most important results obtained in each case are summarized, and the key challenges in market viability are also discussed. [ABSTRACT FROM AUTHOR]