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Research on the Method of Fault Diagnosis Based on Multiple Classifiers Fusion
Yan Wen,Jiwen Tan,Hong Zhan,Hao Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.2
In traditional fault diagnosis method, a large number of experiments are needed to get the optimal performance classifier which diagnoses type of fault. Because of classifier algorithm limit, there is no one classifier can be applied to all kinds of fault diagnosis. In order to avoid the disadvantages caused by single classifier approach, decision level fusion method based on multiple classifiers fusion is introduced in the field of fault diagnosis. The fusion method with fuzzy comprehensive evaluation is put forward and the basic evaluation model is set up. The reasonable distribution of classifiers weight that affects diagnosis result directly is vital. Firstly, the evaluation function which measures member classifier’s diagnostic accuracy and correctness is constructed based on the theory of information entropy. Then, weights are distributed to each classifier with entropy coefficient according to the value of evaluation function. Experiments are carried out to demonstrate the effectiveness of the proposed method and results show that fault recognition rate after fusion is higher compared with the single classifier method.
Zhan-Min Sun,Yan-Min Wu,Mei-Liang Zhou,Xing-Guo Xiao,Yi-Xiong Tang 한국식물생명공학회 2014 Plant biotechnology reports Vol.8 No.4
The APETALA2/ethylene-responsive elementbinding factors (AP2/ERF) play central roles in the stressresponse in plants. In this study, we identified and isolateda novel salt stress-related gene, LcERF080, that encodes anAP2/ERF protein in Lotus corniculatus cultivar Leo. LcERF080 was classified into the B-4 group of the ERFsubfamily based on multiple sequence alignment andphylogenetic characterization. Expression of LcERF080was strongly induced by salt, abscisic acid, 1-aminocyclopropane-1-carboxylic acid, methyl jasmonate, and salicylicacid stresses. Subcellular localization assay confirmedthat LcERF080 is a nuclear protein. LcERF080 overexpressionin Arabidopsis resulted in pleiotropic phenotypeswith a higher seed germination rate and transgenic plantswith enhanced tolerance to salt stress. Further, under stressconditions, the transgenic lines exhibited elevated levels ofsoluble sugars and proline as well as relative moisturecontents but a lower malondialdehyde content than incontrol plants. The expression levels of hyperosmoticsalinity response genes COR15A, RD22, and P5CS1 werefound to be elevated in the LcERF080-overexpressingArabidopsis plants compared to the wild-type plants. Theseresults reveal that LcERF080 is involved in the responsesof plants to salt stress.
Zhan, Yi-Ping,Huang, Xin-En,Cao, Jie,Lu, Yan-Yan,Wu, Xue-Yan,Liu, Jin,Xu, Xia,Xu, Lin,Xiang, Jin,Ye, Li-Hong Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.9
Objectives: To assess the efficacy, side effects, and the impact on quality of life with $Qinin^{(R)}$ (Cantharidin sodium) injection combined with chemotherapy for gastric cancer patients. Method: A consecutive cohort of 70 patients were divided into two groups: experimental group with cantharidin sodium injection combined with chemotherapy, while the control group received chemotherapy alone. After more than two courses of treatment, efficacy, quality of life and side effects were evaluated. Results: The response rate of experimental group was not significantly different from that of the control group (P>0.05), but differences were significant in clinical benefit response and KPS score. In addition, gastrointestinal reactions and the incidence of leukopenia were lower than in the control group (P<0.05). Conclusions: $Qinin^{(R)}$ (Cantharidin sodium) injection combined with chemotherapy enhances clinical benefit response, improving quality of life of gastric cancer patients and reducing side effects of chemotherapy. Thus $Qinin^{(R)}$ (Cantharidin sodium) injection deserves to be further investigated in randomized control clinical trails.
Zhan-qing Zhang,Yan-bing Wang,,Wei Lu,,Dan-ping Liu,,Bi-sheng Shi,,Xiao-nan Zhang,,Dan Huang,,Xiu-fen Li,,Xin-lan Zhou,,Rong-rong Ding, 대한진단검사의학회 2019 Annals of Laboratory Medicine Vol.39 No.1
Background: We examined changes in hepatitis B core-related antigen (HBcrAg) during the four sequential phases of chronic hepatitis B virus (HBV) infection: hepatitis B e antigen (HBeAg)-positive chronic infection (EPCI) and hepatitis (EPCH), followed by HBeAg-negative chronic infection (ENCI) and hepatitis (ENCH). We compared the performance of serum HBcrAg, hepatitis B surface antigen (HBsAg), and HBV DNA in predicting EPCH and ENCH.
Roles of Immunohistochemical Staining in Diagnosing Pulmonary Squamous Cell Carcinoma
Yan, Yue,Zhang, Ya-Xiong,Fang, Wen-Feng,Kang, Shi-Yang,Zhan, Jian-Hua,Chen, Nan,Hong, Shao-Dong,Liang, Wen-Hua,Tang, Yan-Na,He, Da-Cheng,Wu, Xuan,Zhang, Li Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2
Background: Differentiating morphologic features based on hematoxylin-eosin (HE) staining is the most common method to classify pathological subtypes of non-small-cell lung cancer (NSCLC). However, its accuracy and inter-observer reproducibility in pathological diagnosis of poorly differentiated NSCLC remained to be improved. Materials and Methods: We attempted to explore the role of immunohistochemistry (IHC) staining in diagnosing pulmonary squamous cell carcinoma (SQCC) with poorly differentiated features by HE staining or with elevated serum adenocarcinoma-specific tumor markers (AD-TMs). We also compared the difference of epidermal growth factor receptor (EGFR) mutation rate between patients with confirmed SQCC and those with revised pathological subtype. Logistic regression analyses were used to test the association between different factors and diagnostic accuracy. Results: A total of 132 patients who met the eligible criteria and had adequate specimens for IHC confirmation were included. Pathological revised cases in poor differentiated subgroup, biopsy samples and high-level AD-TMs cases were more than those with high/moderate differentiation, surgical specimens and normal-level AD-TMs. Moreover, biopsy sample was a significant factor decreasing diagnostic accuracy of pathological subtype (OR, 4.037; 95% CI 1.446-11.267, p=0.008). Additionally, EGFR mutation rate was higher in patients with pathological diagnostic changes than those with confirmed SQCC (16.7% vs 4.4%, p=0.157). Conclusions: Diagnosis based on HE staining only might cause pathological misinterpretation in NSCLC patients with poor differentiation or high-level AD-TMs, especially those with biopsy samples. HE staining and IHC should be combined as pathological diagnostic standard. The occurrence of EGFR mutations in pulmonary SQCC might be overestimated.
Yanli Yin,Xuejiang Huang,Xiaoliang Pan,Sen Zhan,Yongjuan Ma,Xinxin Zhang 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.4
As an effective reinforcement learning (RL) algorithm, Q-learning has been applied to energy management strategy of hybrid electric vehicle (HEV) in recent years. In the existing literatures, the values of three hyperparameters based on Q-learning are all given in advance, which are respectively exploratory rate ε, discount factor γ and learning rate α. However, different values of hyperparameters will influence on fuel economy of the vehicle and offline computation speed. In this paper, it is proposed that the method of optimization on hyperparameters adapting to driving cycle. Firstly, the mathematical model between three hyperparameters and iteration times is established based on inherent regularity of hyperparameters influencing on vehicle performance respectively. Secondly, it is determined that the optimal changing index k_index of iteration number based on Q-learning corresponding to typical driving cycles. Finally, the simulation model of Yubei District in Chongqing is constructed based on the method of Kullback-Leibler (KL) driving cycle identification. The simulation results indicate that equivalent fuel consumption of the proposed strategy is reduced by 0.4 % and the offline operation time is reduced by 6 s. It can be concluded that the proposed strategy can not only improve fuel economy of the vehicle, but also accelerate the computation speed
Zhan, Yi-Ping,Huang, Xin-En,Cao, Jie,Lu, Yan-Yan,Wu, Xue-Yan,Liu, Jin,Xu, Xia,Xiang, Jin,Ye, Li-Hong Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10
Objective: To observe efficacy and side effects, as well as the impact on quality of life, of Kanglaite$^{(R)}$ (Coix Seed Oil) injections combined with chemotherapy in the treatment of advanced gastric cancer patients. Method: A consecutive cohort of 60 patients were divided into two groups: the experimental group receiving Kanglaite$^{(R)}$ Injection combined with chemotherapy and the control group with chemotherapy alone. After more than two courses of treatment, efficacy, quality of life and side effects were evaluated. Results: The response rate and KPS score of experimental group were significantly improved as compared with those of the control group (P<0.05). In addition, gastrointestinal reactions and bone marrow suppression were significantly lower than in the control group (P<0.05). Conclusions: Kanglaite$^{(R)}$ Injection enhanced efficacy and reduced the side effects of chemotherapy, improving quality of life of gastric cancer patients; use of Kanglaite$^{(R)}$ injections deserves to be further investigated in randomized control clinical trails.
Analysis of Key Genes and Pathways Associated with Colorectal Cancer with Microarray Technology
Liu, Yan-Jun,Zhang, Shu,Hou, Kang,Li, Yun-Tao,Liu, Zhan,Ren, Hai-Liang,Luo, Dan,Li, Shi-Hong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3
Objective: Microarray data were analyzed to explore key genes and their functions in progression of colorectal cancer (CRC). Methods: Two microarray data sets were downloaded from Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were identified using corresponding packages of R. Functional enrichment analysis was performed with DAVID tools to uncover their biological functions. Results: 631 and 590 DEGs were obtained from the two data sets, respectively. A total of 32 common DEGs were then screened out with the rank product method. The significantly enriched GO terms included inflammatory response, response to wounding and response to drugs. Two interleukin-related domains were revealed in the domain analysis. KEGG pathway enrichment analysis showed that the PPAR signaling pathway and the renin-angiotensin system were enriched in the DEGs. Conclusions: Our study to systemically characterize gene expression changes in CRC with microarray technology revealed changes in a range of key genes, pathways and function modules. Their utility in diagnosis and treatment now require exploration.