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Your search keyword '"Li, Jinxin"' showing total 79 results
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79 results on '"Li, Jinxin"'

25. Generalized Swing Equation and Transient Synchronous Stability With PLL-Based VSC.

Author

Ma, Rui, Li, Jinxin, Kurths, Jurgen, Cheng, Shijie, and Zhan, Meng

Subjects
*ELECTRIC transients, *PHASE-locked loops, *IDEAL sources (Electric circuits), *SHORT circuits, *TRANSIENTS (Dynamics)
Abstract

With widespread application of voltage source converter (VSC) as a key energy-conversion power electronic device by using the phase-locked loop (PLL) technique for synchronization, the system dynamics has become much complicated. In this paper, the nonlinear dynamics and transient stability of the PLL-based VSC system are investigated, within a unified framework of the (normalized) generalized swing equation. It is found that there are three different types of bifurcation, including the generalized saddle-node, Hopf, and homoclinic bifurcations. Within the coexistence parameter region, the basin boundary of the stable equilibrium point shows either a closed-loop or a fish-like pattern. With the help of the equal area criterion (EAC), the transient stabilities under different transient disturbances including short circuit, voltage dip, and power rise are analyzed. Because the equivalent damping of the VSC is state-dependent, the theoretical results based on the EAC are examined. Furthermore, based on the analytical results from the generalized swing equation, the principle for all major transient stability enhancement methods is uncovered. All these findings are well verified by extensive electromagnetic transient simulations. Therefore, the generalized swing equation provides a deeper physical insight and plays a crucial role in transient stability problems in power-electronic-dominated power systems, similar to the swing equation in traditional power systems. [ABSTRACT FROM AUTHOR]

Published
2022
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26. Eigenmode-BLT-Based Method for Calculating the Coupling to Microstrip Antenna Inside a Cavity.

Author

Xiao, Pei, Li, Jiawei, Li, Jinxin, Qiu, Yongfeng, Liu, Zhu, Zhang, Chao, Li, Gaosheng, and Joines, William T.

Subjects
MICROSTRIP antennas, ELECTRIC lines, NUMERICAL integration, ELECTRIC fields, DIPOLE antennas
Abstract

The electromagnetic (EM) coupling effects of microstrip antennas have become increasingly prominent in complicated electric systems. In this article, a hybrid method is proposed based on the combination of cavity eigenmode theory and BLT equation. First, the internal electric field generated by the transmission lines inside the resonant cavity is obtained via cavity eigenmode theory. Then, the coupling mechanism between the electric field and microstrip antenna is established through radiation coupling interference. On this basis, the BLT equation and numerical integration method are applied to determine the induced voltage at the target microstrip antenna. Eventually, the proposed approach is validated by a full-wave simulation method and the impact of the microstrip antenna parameters on the coupling interference is discussed. This article provides an analytical method for calculating the coupling of a microstrip antenna. Compared with numerical simulation, this method has certain potential advantages in solving closed electrically large objects. Furthermore, duplicate modeling can be avoided in the same type of scenario. [ABSTRACT FROM AUTHOR]

Published
2022
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28. Application and Implement of 3D Fastpic Simulator

Author

Jin, Xiaolin, primary, Cai, Wenjin, additional, Gu, Xiaoliang, additional, Zhang, Xiaoyan, additional, Li, Jinxin, additional, Hu, Quan, additional, Huang, Tao, additional, Li, Bin, additional, and Yang, Zhonghai, additional

Published
2020
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30. A Fan-Shaped Compact Water Antenna With Wide Bandwidth and Optical Transparence.

Author

Li, Jinxin, Fang, Jiongjian, Xiao, Pei, Dong, Jun, Du, Sichun, Li, Gaosheng, and Joines, William T.

Subjects
*ANTENNAS (Electronics), *IMPEDANCE matching, *BANDWIDTHS, *BROADBAND antennas, *WATER use
Abstract

A novel wideband and compact water antenna with optically transparent characteristic is presented in this communication. This antenna mainly consists of a fan-shaped cylindrical radiator, a top disk, a cylindrical base, and a water reflector. Based on two resonant modes, this antenna can achieve wideband characteristic. Meanwhile, when combined with fan-shaped radiator and top disk loading, the overall dimensions can be greatly reduced without compromising impedance matching. The ground made of distilled water is used for full transparency. The proposed antenna covers frequency range from 1.16 to 2.79 GHz for $S_{11} < -10$ dB. As far as we know, the proposed antenna shows the widest relative bandwidth (82.5%) in the field of transparent antennas, without sacrificing size and radiation performance. [ABSTRACT FROM AUTHOR]

Published
2022
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32. Residual Dense Information Distillation Network for Single Image Super-Resolution

Author

Duan Bolin, Jin Wang, Li Jinxin, Liu Pu, Qiaosong Chen, and Xin Deng

Subjects
Computer science, law, Feature extraction, Iterative reconstruction, Single image, Residual, Distillation, Algorithm, Convolutional neural network, Convolution, law.invention, Interpolation
Abstract

In recent years, Convolutional Neural Networks (CNNs) have achieved excellent results in the study of single image super-resolution. However, super-resolution algorithms based on CNNs still face serious challenges, such as poor detail reconstruction, numerous parameters, and difficulty of training. A Residual Dense Information Distillation Network (RD-IDN) is proposed in this paper which uses dense skip connections and residual structure to solve the problems of difficult training and low utilization of features in Information Distillation Network. Experimental results show that the proposed method is superior to many other Super Resolution algorithms in terms of reconstruction performance and computational comsumption.

Published
2019

33. frDriver: A Functional Region Driver Identification for Protein Sequence.

Author

Lu, Xinguo, Wang, Xinyu, Ding, Li, Li, Jinxin, Gao, Yan, and He, Keren

Abstract

Identifying cancer drivers is a crucial challenge to explain the underlying mechanisms of cancer development. There are many methods to identify cancer drivers based on the single mutation site or the entire gene. But they ignore a large number of functional elements with medium in size. It is hypothesized that mutations occurring in different regions of the protein sequence have different effects on the progression of cancer. Here, we develop a novel functional region driver(frDriver) identification method based on Bayesian probability and multiple linear regression models to identify protein regions that can regulate gene expression levels and have high functional impact potential. Combining gene expression data and somatic mutation data, with functional impact scores(SIFT, PROVEAN) as a priori knowledge, we identified cancer driver regions that are most accurate in predicting gene expression levels. We evaluated the performance of frDriver on the BRCA and GBM datasets from TCGA. The results showed that frDriver identified known cancer drivers and outperformed the other three state-of-the-art methods(eDriver, ActiveDriver and OncodriveCLUST). In addition, we performed KEGG pathway and GO term enrichment analysis, and the results indicated that the cancer drivers predicted by frDriver were related to processes such as cancer formation and gene regulation. [ABSTRACT FROM AUTHOR]

Published
2021
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