• 제목/요약/키워드: Peng Xiao

검색결과 148건 처리시간 0.03초

팽효 『주역참동계분장통진의』의 외단 연단법 연구 (A Study on The Waitan Alchemy method of Peng Xiao's 'Zhouyi chantongqi fenzhangtongzhenyi')

  • 신진식
    • 유학연구
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    • 제44권
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    • pp.303-333
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    • 2018
  • 이 논문에서는 팽효의 『주역참동계분장통진의』를 주요 텍스트로 삼아 그의 외단 연단법에 대한 분석 작업을 진행하였다. 여타의 『참동계』 주석들과는 달리 팽효의 『참동계』 주석은 내외단이 동시에 나타나고 있다는 것이 특징이다, 즉 『주역참동계분장통진의』는 『참동계』에 대한 이해가 외단에서 내단으로 전환되는 과정에서 보이는 특징을 고스란히 드러내고 있다. 『분장통진의』에 대한 연구는 도교의 외단과 내단의 전환과 그 전환에서 일어나는 연단의 변화와 용어의 전환 등을 확인할 수 있다는 점에서 큰 의미가 있다. 이 논문에서는 『주역참동계분장통진의』의 외단 연단의 기본 원리와 연단의 주요 도구인 정기와 약물, 화후 3대 요소에 대하여 살펴보았다. 아울러 연단의 구체적 과정에서 얻어지는 황단과 영단 그리고 현단(금단)에 대해서도 텍스트 분석을 통하여 밝혀 보았다. 끝으로 외단의 연단을 통해 얻을 수 있는 효과 등에 대하여 차례로 살펴보았다. 이러한 연구를 통해 위백양의 『참동계』 원문 자체와 여타의 주석에서는 보이지 않는, 좀 더 다채롭게 외단을 풀이하는 용어들을 접하게 될 것이고, 난해한 외단 연단법에 한층 더 쉽게 다가갈 수 있게 될 것이다. 그리고 이를 바탕으로 향후에 『분장통진의』의 내단사상에 대한 또 다른 심도 있는 연구도 가능해질 것으로 본다.

Fault Diagnosis of Wind Power Converters Based on Compressed Sensing Theory and Weight Constrained AdaBoost-SVM

  • Zheng, Xiao-Xia;Peng, Peng
    • Journal of Power Electronics
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    • 제19권2호
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    • pp.443-453
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    • 2019
  • As the core component of transmission systems, converters are very prone to failure. To improve the accuracy of fault diagnosis for wind power converters, a fault feature extraction method combined with a wavelet transform and compressed sensing theory is proposed. In addition, an improved AdaBoost-SVM is used to diagnose wind power converters. The three-phase output current signal is selected as the research object and is processed by the wavelet transform to reduce the signal noise. The wavelet approximation coefficients are dimensionality reduced to obtain measurement signals based on the theory of compressive sensing. A sparse vector is obtained by the orthogonal matching pursuit algorithm, and then the fault feature vector is extracted. The fault feature vectors are input to the improved AdaBoost-SVM classifier to realize fault diagnosis. Simulation results show that this method can effectively realize the fault diagnosis of the power transistors in converters and improve the precision of fault diagnosis.

Endostar Combined with Cisplatin Inhibits Tumor Growth and Lymphatic Metastasis of Lewis Lung Carcinoma Xenografts in Mice

  • Dong, Xiao-Peng;Xiao, Tian-Hui;Dong, Hong;Jiang, Ning;Zhao, Xiao-Gang
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권5호
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    • pp.3079-3083
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    • 2013
  • Objective: To investigate the effects of endostar, a recombined humanized endostatin, plus cisplatin on the growth, lymphangiogenesis and lymphatic metastasis of the Lewis lung carcinoma (LLC) in mice. Methods: A tumor model were established in C57BL/6 mice by intravenious transplantation of LLC cells. Then the mice were randomized to receive administration with NS, endostar, cisplatin, or endostar plus cisplatin. After the mice were sacrificed, tumor multiplicity, tumor size and lymph node metastasis were assessed. Then the expression of vascular endothelial growth factor-c (VEGF-C) and podoplanin were determined by immunohistochemical staining. Results: Endostar plus cisplatin significantly suppressed tumor growth. lymphatic metastasis and prolonged survival time of the mice without obvious toxicity. The inhibition of lymphatic metastasis was associated with decreased microlymphatic vessel density (MLVD) and expression of VEGF-C. Conclusions: Endostar combined with cisplatin was more effective to suppress tumor growth and lymphatic metastasis than either agent alone. Thus this may provide a rational alternative for lung carcinoma treatment.

TWO COMPARISON THEOREMS OF BSDES

  • Huang, Xiao-Qin;Wang, Mian-Sen;Jia, Jun-Guo
    • Journal of applied mathematics & informatics
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    • 제24권1_2호
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    • pp.377-385
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    • 2007
  • In this paper, by the equations of Mao [9] and Peng [5], we use the martingale method to establish the comparison theorems of backward stochastic differential equations (BSDEs). We generalize the results of Cao-Yan [1].

Shortest Path Analyses in the Protein-Protein Interaction Network of NGAL (Neutrophil Gelatinase-associated Lipocalin) Overexpression in Esophageal Squamous Cell Carcinoma

  • Du, Ze-Peng;Wu, Bing-Li;Wang, Shao-Hong;Shen, Jin-Hui;Lin, Xuan-Hao;Zheng, Chun-Peng;Wu, Zhi-Yong;Qiu, Xiao-Yang;Zhan, Xiao-Fen;Xu, Li-Yan;Li, En-Min
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권16호
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    • pp.6899-6904
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    • 2014
  • NGAL (neutrophil gelatinase-associated lipocalin) is a novel cancer-related protein involves multiple functions in many cancers and other diseases. We previously overexpressed NGAL to analyze its role in esophageal squamous cell carcinoma (ESCC). In this study, a protein-protein interaction (PPI) was constructed and the shortest paths from NGAL to transcription factors in the network were analyzed. We found 28 shortest paths from NGAL to RELA, most of them obeying the principle of extracellular to cytoplasm, then nucleus. These shortest paths were also prioritized according to their normalized intensity from the microarray by the order of interaction cascades. A systems approach was developed in this study by linking differentially expressed genes with publicly available PPI data, Gene Ontology and subcellular localizaton for the integrated analyses. These shortest paths from NGAL to DEG transcription factors or other transcription factors in the PPI network provide important clues for future experimental identification of new pathways.

Deep Learning-Based Modulation Detection for NOMA Systems

  • Xie, Wenwu;Xiao, Jian;Yang, Jinxia;Wang, Ji;Peng, Xin;Yu, Chao;Zhu, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.658-672
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    • 2021
  • Since the signal with strong power need be demodulated first for successive interference cancellation (SIC) receiver in non-orthogonal multiple access (NOMA) systems, the base station (BS) need inform the near user terminal (UT), which has allocated higher power, of the far UT's modulation mode. To avoid unnecessary signaling overhead of control channel, a blind detection algorithm of NOMA signal modulation mode is designed in this paper. Taking the joint constellation density diagrams of NOMA signal as the detection features, the deep residual network is built for classification, so as to detect the modulation mode of NOMA signal. In view of the fact that the joint constellation diagrams are easily polluted by high intensity noise and lose their real distribution pattern, the wavelet denoising method is adopted to improve the quality of constellations. The simulation results represent that the proposed algorithm can achieve satisfactory detection accuracy in NOMA systems. In addition, the factors affecting the recognition performance are also verified and analyzed.

Control of Electrically Excited Synchronous Motors with a Low Switching Frequency

  • Yuan, Qing-Qing;Wu, Xiao-Jie;Dai, Peng;Fu, Xiao
    • Journal of Power Electronics
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    • 제12권4호
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    • pp.615-622
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    • 2012
  • The switching frequency of the power electronic devices used in large synchronous motor drives is usually kept low (less than 1 kHz) to reduce the switching losses and to improve the converter power capability. However, this results in a couple of problems, e.g. an increase in the harmonic components of the stator current, and an undesired cross-coupling between the magnetization current component ($i_m$) and the torque component ($i_t$). In this paper, a novel complex matrix model of electrically excited synchronous motors (EESM) was established with a new control scheme for coping with the low switching frequency issues. First, a hybrid observer was proposed to identify the instantaneous fundamental component of the stator current, which results in an obvious reduction of both the total harmonic distortion (THD) and the low order harmonics. Then, a novel complex current controller was designed to realize the decoupling between $i_m$ and $i_t$. Simulation and experimental results verify the effectiveness of this novel control system for EESM drives.