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Pattern Recognition of Monitored Waveforms from Power Supplies Feeding High-Speed Rail Systems
Wei Gu,Shuai Zhang,Xiaodong Yuan,Bing Chen,Jingjing Bai 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.1
The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.
Power Quality Early Warning Based on Anomaly Detection
Gu, Wei,Bai, Jingjing,Yuan, Xiaodong,Zhang, Shuai,Wang, Yuankai The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.4
Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.
Pattern Recognition of Monitored Waveforms from Power Supplies Feeding High-Speed Rail Systems
Gu, Wei,Zhang, Shuai,Yuan, Xiaodong,Chen, Bing,Bai, Jingjing The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.1
The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.
Power Quality Early Warning Based on Anomaly Detection
Wei Gu,Jingjing Bai,Xiaodong Yuan,Shuai Zhang,Yuankai Wang 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.4
Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.
Gu, Mo-Fa,Su, Yong,Chen, Xin-Lin,He, Wei-Ling,He, Zhen-Yu,Li, Jian-Jun,Chen, Miao-Qiu,Mo, Chuan-Wei,Xu, Qian,Diao, Yuan-Ming Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.1
Purpose: the study aimed to compare the quality of life (QOL) and radiotherapy complications among Chinese nasopharyngeal carcinoma (NPC) patients at different 3-dimensional conformal radiotherapy (3DCRT) stages adjusting for other variables. Methods: 511 NPC patients at different 3DCRT stages were enrolled. They were interviewed regarding SF-36, complications and socio-demographic variables and cancer- or treatment-related variables. Analysis of covariance (ANCOVA) based on SF-36, complications scores as dependent variables, 3DCRT stages as independent variables, and other variables as covariate were established. Results: The influencing factors of PCS included 3DCRT stages and age group. The influencing factors of MCS included 3DCRT stages and income. Most QOL scores of NPC patients were significantly associated with 3DCRT stage, after accounting for other variables. QOL scores of the patients receiving 3DCRT were the lowest, QOL scores of people after 3DCRT gradually increased. PCS scores of people greater than 5 years after 3DCRT was improved to or even better than the level before 3DCRT. The complications with significantly different scores of patients at different 3DCRT status included xerostomia, throat ache, hypogeusia, caries, hearing loss, snuffles. Conclusions: Clinicians should pay more attention to older NPC patients and patients with lower income. When patients receive 3DCRT, measures should be taken to reduce radiation injury to improve the patients' QOL.
Wei Gu,Yong Liu,Li-Rong Wei,Bing-Kun Dong 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
This paper presents a hybrid algorithm for traveling salesman problem. The algorithm is a combination of the genetic algorithm and simulated annealing algorithm; in other words, it is a hybrid algorithm. The combination overcomes the deficiencies of the two algorithms when acting separately. The real distance between customers has been used on the basis of geographical information system (GIS) in order to make the result more suitable in real-life. The algorithm has tested on the examples of international standards. We made a comparison with the result of second nearest neighbor algorithm and genetic optimization algorithm. The test showed that the algorithm proposed in this paper has improved the results.
Gu, Wei-Guang,Huang, Yan,Yuan, Zhong-Yu,Peng, Rou-Jun,Luo, Hai-Tao,He, Zhi-Ren,Wang, Shu-Sen Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3
This study evaluated the effects of ZD1839, an orally active, selective epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, on nasopharyngeal carcinoma (NPC) both in vitro and in vivo. Influence of ZD1839 alone or combined with cisplatin on the NPC cell line CNE2 was detected by MTT assay with flow cytometry assessment of cell cycle distribution and apoptosis rates. Nude mice NPC xenografts were also used to evaluate the effects of ZD1839 alone or combined with cisplatin. The Student's t test evaluated statistical significance. ZD1839 alone or combined with cisplatin inhibited CNE2 cell line proliferation. ZD1839 induced CNE2 cell cycle arrest in the G1 phase, and higher concentrations induced apoptosis. Xenograft tumors were significantly smaller when treated with 200 mg/kg ZD1839, cisplatin, or cisplatin combined with 100 mg/kg ZD1839 than untreated controls. ZD1839 (200 mg/kg) alone showed good tumor inhibition effects, reduction of tumor weights, and smaller tumor volume without loss of body weight. ZD1839 (200 mg/kg) might provide a good and effective therapeutic reagent for NPC.
The dynamic transcriptome of waxy maize (Zea mays L. sinensis Kulesh) during seed development
Wei Gu,Diansi Yu,Yuan Guan,Hui Wang,Tao Qin,Pingdong Sun,Yingxiong Hu,Jihui Wei,Hongjian Zheng 한국유전학회 2020 Genes & Genomics Vol.42 No.9
Background Waxy maize (Zea mays L. sinensis Kulesh) is a mutant of maize (Zea mays L.) with a mutation at Waxy1 (Wx1) gene locus. The seed of waxy maize has higher viscosity compared to regular maize. By now, we know little about the expression patterns of genes that involved in the seed development of waxy maize. Objective By analyzing the transcriptome data during waxy maize seed development, we attempt to dig out the genes that may infuence the seed development of waxy maize. Methods The seeds of waxy maize inbred line SWL01 from six phases after pollination were used to do RNA-seq. Bioinformatics methods were used to analyze the expression patterns of the expressed genes, to identify the genes involved in waxy maize seed development. Results A total of 24,546 genes including 1611 transcription factors (TFs) were detected during waxy maize seed development. Coexpression analysis of expressed genes revealed the dynamic processes of waxy maize seed development. Particularly, 2457 genes including 177 TFs were specially expressed in waxy maize seed, some of which mainly involved in the process of seed dormancy and maturation. In addition, 2681, 5686, 4491, 4386, 3669 and 4624 genes were identifed to be diferential expressed genes (DEGs) at six phases compared to regular maize B73, and 113 DEGs among them may be key genes that lead the diference of seed development between waxy and regular maizes in milk stage. Conclusion In summary, we elucidated the expression patterns of expressed genes during waxy maize seed development globally. A series of genes that associated with seed development were identifed in our research, which may provide an important resource for functional study of waxy maize seed development to help molecular assisted breeding.