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- 저자 : Wenping Guo (검색결과 5 건)
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Guo Yingzhi,Shi Liwei,Zhang Wenchao,Chai Wenping,Kwon Byung-il 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
To improve the output current of an Integrated Starter Generator (ISG) with stable windings at high speed, a 3/6-phase winding switching permanent magnet (PM) machine is proposed this paper. At low-speed starting mode, large number of coils are series connected as conventional three-phase windings to keep the starting performance in starting the engine. At high-speed generating mode, the coils are connected as six-phase winding to generate greater current. Finite element analysis software was utilized to verify the EMF and output current performance of 3/6-phase winding switching of ISG with consequent-pole rotor, which was designed for Range Extender Electric Vehicles (REEV). The experimental results verified that the proposed ISG increased the output current by six-phase windings in generating mode.
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An Interactive Visual User Interface Model for Multimedia Open Annotation Tools
Zhuoming Xu,Wenping Guo,Ting Wu,Lixian Ni 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.7
The W3C Open Annotation Community Group’s Open Annotation (OA) Data Model is emerging as a standardized Web Annotation Data Model. We argue that a friendly interactive visual user interface for OA Data Model based annotation tools, which is largely based on an effective user interface model, plays an essential role in the usability of the tools. In this paper we propose an Interactive Visual User Interface Model for Open Annotations (or simply IVUIM4OA), which allows the annotating user to dynamically transform OA data into a visual representation and to interactively manipulate the visual objects to modify the OA data or produce new one. IVUIM4OA is an adaptation of a generic information visualization model, the Data State Reference Model, for the specifics of the visualization of OA data; it is further extended with view operators that enable the user to interact with the visual objects. We implemented a prototype multimedia annotation tool on the basis of IVUIM4OA and conducted case study experiments with the prototype tool. The implementation and experimental results show that the proposed IVUIM4OA is feasible and works well with the OA Data Model, in such a way that the annotating user can obtain a better understanding of and more intuitive interaction with the annotation data.
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Yuxiang Kang,Guo Chen,Wenping Pan,Xunkai Wei,Hao Wang,Zhiyuan He 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.6
A dual-experience pool deep reinforcement learning (DEPDRL) model is proposed for rolling bearing fault diagnosis with unbalanced data. In this method, a dualexperience pool structure is designed to store the sample data of majority and minority classes. A parallel double residual network model is established to extract deep features of the majority and minority input samples, respectively. In the process of training, the proposed balanced cross-sampling technique is used to randomly select samples from dual-experience pool in a certain proportion to realize the training of a double residual network model. We show the effectiveness of our method on three standard data sets, and compared with Resnet18, DCNN, DQN and DQNimb methods, the results show that DEPDRL has the best performance. Finally, with wavelet time-frequency graph as input, DEPDRL is applied to rolling bearing fault diagnosis with unbalanced test data. The results show that on a variety of unbalanced data sets, both the diagnostic accuracy and the G-means value of the DEPDRL are more than 5 % higher than other algorithms, which fully indicates that the DEPDRL has a very high fault diagnosis ability of rolling bearing with unbalanced data.
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Current progress on gold recovery from refractory ore and waste electrical and electronic equipment
Ji Xuran,Shen Zhijie,Xu Wenping,Yao Shimiao,Zhang Hairong,Xiong Lian,Li Hailong,Guo Haijun,Chen Xuefang,Chen Xinde 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.9
The physical and chemical properties of gold promote its application, such as in the high-tech, electronic products, and aerospace industries. The easily leachable ore is gradually depleted. Thus, it becomes necessary to extract gold from other resources such as refractory ore and electrical and electronic equipment. The normal method of leaching for gold is cyanide leaching, but it is very dangerous for both environment and operator. Non-cyanide leaching methods, including thiourea leaching, halide leaching, and sulfate leaching have been developed to substitute cyanide leaching. A variety of methods to enrich gold from leaching solutions are described in this paper, including solvent extraction, electrowinning, activated carbon adsorption, and ion exchange resins. Among those methods, ion exchange resins can adsorb gold with high adsorption efficiency and regenerate easily as well. This paper focuses on the research progress of the recovery of gold from non-cyanide leachates by ion exchange resins, summarizes the existing resin types and elution processes, points out the limitations in the application of current ion exchange resins, and discusses possible solutions.
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Hongyi Wei,Ningning Pan,Wen Zhang,Guangwu Xiong,Wenping Guo,Zhe Dong,Caihong Ma 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.2
Objective: To conduct a systematic review and meta-analysis of studies evaluating the oncological and fertility outcomes of early-stage endometrial cancer (EC) treated with the levonorgestrel-releasing intrauterine system (LIUS)-based regimens. Methods: The Meta-analyses Of Observational Studies in Epidemiology statement for meta-analyses was followed. Searches were conducted on MEDLINE, Embase, PubMed, Preprints, and the Cochrane Central Register of Controlled Trials from January 1990 to August 4, 2022. The Joanna Briggs Institute Critical Appraisal Checklist was used for quality assessment. The primary endpoint was the complete response (CR) rate and the secondary endpoints were relapse, pregnancy, and live birth rate. Results: A total of 25 studies (821 women) were included. The CR rate of LIUS-based regimens was 63.4% (95% confidence interval [CI]=52.3%–73.2%), with 29.6% (95% CI=23.3%–36.8%) of cases experiencing recurrence during follow-up. In sensitivity analyses, patients younger than 45 years of age with a body mass index <30 kg/m2 who were treated with LIUS-based regimens achieved a high CR rate of 84.6% (95% CI=80.3%–88.1%) over a median follow-up of more than 24 months. Overall pregnancy and live birth rates were 37.9% (95% CI=24.1%–53.9%) and 39.3% (95% CI=24.0%–57.0%), respectively. No statistical differences were apparent in CR or relapse rates among the LIUS+GnRH agonist, LIUS+oral progesterone, or hysteroscopic resection followed by LIUS subgroups. Conclusion: LIUS-based therapies are viable for the conservative management of early-stage endometrioid EC on CR and fertility outcome.
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