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- 저자 : ( Hongwei Li ) (검색결과 71 건)
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Hongwei Li,Huabing Wu,Biyu Jiang,Anan Zhang,Wei Fang 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.1
Aiming at analyzing the power flow of the distribution systems with distribution transformer (DT) branches and PV nodes, a hybrid three-phase power flow methodology is presented in this paper. The incidence formulas among node voltages, loop currents and node current injections have been developed based on node-branch incidence matrix of the distribution network. The method can solve the power flow directly and has higher efficiency. Moreover, the paper provides a modified method to model DT branches by considering winding connections, phase shifting and off-nominal tap ratio, and then DT branches could be seen like one transmission line with the proposed power flow method. To deal with the PV nodes, an improved approach to calculate reactive power increment at each PV node was deduced based on the assumption that the positive-sequence voltage magnitude of PV node is fixed at a given value. Then during calculating the power flow at each iteration, it only needs to update current injection at each PV node with the proposed algorithm. The process is very simple and clear. The results of IEEE 4 nodes and the modified IEEE 34 nodes test feeders verified the correctness and efficiency of the proposed hybrid power flow algorithm.
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EMRQ: An Efficient Multi-keyword Range Query Scheme in Smart Grid Auction Market
( Hongwei Li ),( Yi Yang ),( Mi Wen ),( Hongwei Luo ),( Rongxing Lu ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.11
With the increasing electricity consumption and the wide application of renewable energy sources, energy auction attracts a lot of attention due to its economic benefits. Many schemes have been proposed to support energy auction in smart grid. However, few of them can achieve range query, ranked search and personalized search. In this paper, we propose an efficient multi-keyword range query (EMRQ) scheme, which can support range query, ranked search and personalized search simultaneously. Based on the homomorphic Paillier cryptosystem, we use two super-increasing sequences to aggregate multidimensional keywords. The first one is used to aggregate one buyer`s or seller`s multidimensional keywords to an aggregated number. The second one is used to create a summary number by aggregating the aggregated numbers of all sellers. As a result, the comparison between the keywords of all sellers and those of one buyer can be achieved with only one calculation. Security analysis demonstrates that EMRQ can achieve confidentiality of keywords, authentication, data integrity and query privacy. Extensive experiments show that EMRQ is more efficient compared with the scheme in [3] in terms of computation and communication overhead.
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( Hongwei Li ),( Dongxiao Liu ),( Khalid Alharbi ),( Shenmin Zhang ),( Xiaodong Lin ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.4
In smart grid, electricity consumption data may be handed over to a third party for various purposes. While government regulations and industry compliance prevent utility companies from improper or illegal sharing of their customers` electricity consumption data, there are some scenarios where it can be very useful. For example, it allows the consumers` data to be shared among various energy resources so the energy resources are able to analyze the data and adjust their operation to the actual power demand. However, it is crucial to protect sensitive electricity consumption data during the sharing process. In this paper, we propose a fine-grained access control scheme (FAC) with efficient attribute revocation and policy updating in smart grid. Specifically, by introducing the concept of Third-party Auditor (TPA), the proposed FAC achieves efficient attribute revocation. Also, we design an efficient policy updating algorithm by outsourcing the computational task to a cloud server. Moreover, we give security analysis and conduct experiments to demonstrate that the FAC is both secure and efficient compared with existing ABE-based approaches.
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Hongwei Li,Wenxiang Huang,Long Xu,Xiaosi Zhou,Hongxia Liu,Zhaobang Cheng 한국식물학회 2016 Journal of Plant Biology Vol.59 No.5
Cucumber green mottle mosaic virus (CGMMV) is a major limiting factor in the production of cucumber plants worldwide. In the present study, we use plant growth-promoting rhizobacteria (PGPR) to control this virus effectively. Stenotrophomonas maltophilia HW2 was isolated from healthy cucumber root, exhibited a good biocontrol efficacy against CGMMV. Here, it is documented that 20 d after virus inoculation, the biocontrol efficacy of HW2 reached 52.61%. HW2 can effectively colonize in cucumber rhizosphere, and also promoted cucumber plants growth. We also examined the effect of HW2 on viral replication and its mechanism. Compared with the control, HW2 pre-treated plants could delay virus replication for more than 3 d and inhibit viral protein genes (CP, MP, Rep) expression in the cucumber leaf. The expression of antioxidant enzyme genes (SOD and CAT) and defense-related genes (PR1 and PR5) were quickly induced by HW2. These results suggest that HW2 induced plant defense responses to CGMMV by increasing the expression of defense response genes. We report for the first time that Stenotrophomonas maltophilia improved cucumber resistance against CGMMV, which highlights the applying of PGPR on controlling of virus diseases.
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Advancing real-time hybrid simulation for coupled nonlinear soil-isolator-structure system
Hongwei Li,Amin Maghareh,Johnny W.C. Uribe,Herta Montoya,Shirley J. Dyke,Zhao-Dong Xu 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.1
Experiments involving soil-structure interaction are often constrained by the capacity and other limitations of the shake table. Additionally, it is usually necessary to consider different types of soil in experiments. Real-time hybrid simulation (RTHS) offers an alternative method to conduct such tests. RTHS is a cyber-physical testing technique that splits the dynamic system under investigation into numerical and physical components, and then realistically couples those components in a single test. A limited number of previous studies involving soil-structure interaction have been conducted using RTHS, with a focus on linear models and systems. The presence of isolators was not considered in these studies to the authors’ best knowledge. Herein, we aim to advance the understanding of the RTHS method by developing and demonstrating its use for nonlinear soil-isolatorstructure systems. A sliding mode controller able to deal with both system nonlinearities and wide range of potential uncertainties in such tests is designed and validated using a nonlinear shake table with a nonlinear specimen. By simply changing the numerical model and using the same controller and experimental setup, different soil types and ground motions can readily be considered with this approach. Numerical and RTHS results are compared for verification purposes.
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Li, Hongwei,Wu, Huabing,Jiang, Biyu,Zhang, Anan,Fang, Wei The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.1
Aiming at analyzing the power flow of the distribution systems with distribution transformer (DT) branches and PV nodes, a hybrid three-phase power flow methodology is presented in this paper. The incidence formulas among node voltages, loop currents and node current injections have been developed based on node-branch incidence matrix of the distribution network. The method can solve the power flow directly and has higher efficiency. Moreover, the paper provides a modified method to model DT branches by considering winding connections, phase shifting and off-nominal tap ratio, and then DT branches could be seen like one transmission line with the proposed power flow method. To deal with the PV nodes, an improved approach to calculate reactive power increment at each PV node was deduced based on the assumption that the positive-sequence voltage magnitude of PV node is fixed at a given value. Then during calculating the power flow at each iteration, it only needs to update current injection at each PV node with the proposed algorithm. The process is very simple and clear. The results of IEEE 4 nodes and the modified IEEE 34 nodes test feeders verified the correctness and efficiency of the proposed hybrid power flow algorithm.
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Hongwei Li,Xingzhuang Zhu,Wei Zhang,Wenjie Lu,Chuan Liu,Jinbo Ma,Rukun Zang,Yipeng Song 대한암예방학회 2021 Journal of cancer prevention Vol.26 No.4
Mitochondrial fission regulator 2 (MTFR2) is associated with mitochondrial fission, while few studies have assessed the associations between MTFR2 expression and clinical characteristics or prognosis of esophageal squamous cell carcinoma (ESCC). In this study, we compared the expression of MTFR2 in 6 ESCC tumors and relative normal tissues by immunohistochemistry (IHC). To assess the effect of MTFR2 expression on clinicopathologic characteristics and survival, 115 paraffin embedded ESCC tissue samples were assessed by IHC staining. Furthermore, the association between clinicopathological properties and MTFR2 expression in patients with ESCC was examined. The survival analysis was performed using the Cox regression models. We found that MTFR2 expression was significantly increased in ESCC tumors compared with normal esophageal epithelial cells. IHC analysis of 115 paraffin embedded ESCC tumor specimens of the patients showed that the expression of MTFR2 was significantly associated with clinical stage (P < 0.001), tumor classification (P < 0.001), histological grade (P < 0.001), and other clinicopathological characteristics. Both univariate and multivariate analyses showed that MTFR2 expression was inversely correlated with the survival of ESCC patients. In conclusion, the expression of MTFR2 is significantly associated with clinicopathologic characteristics and prognosis of ESCC. Thus, MTFR2 expression could serve as a potentially important prognostic biomarker and clinical target for patients with ESCC. Key Words MTFR2, Esophageal squamous cell carcinoma, Immunohistochemistry, Prognosis
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A linear power flow solution for distribution power system including PV bus and ZIP load
Hongwei Li,Li Pan,Qingzhuo Liu 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.5
The modern power distribution system (DPS) needs most urgently a robust and fast linear power flow (LPF) solution. The voltage controlled (PV) bus is much common in DPS with the high penetration of distributed generators (DGs) into DPS. Moreover, the conventional constant P type load should be converted into ZIP load in order to get closer to the practical load level. Thus, in this paper, with the several approximations on the voltage drop, link powers, voltage controlled bus and ZIP load, a loop-theory based linear power flow (LPLPF) was proposed with respect to voltage magnitude and phase angle under a polar coordinate system. The proposed method can account for ZIP loads, transformers, and PV type DGs in a balanced distribution network. The approximations have been tested in several distribution systems including radial, meshed and ill-conditioned (much heavy-loaded) large-scale systems. The effectiveness and advantages of the proposed LPLPF method were validated with the results of test systems and the proposed method was accurate enough and robust even in the bad voltage levels.
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Shi Li,Tianjie Pu,Lin Xiao,Hongwei Gao,Li Li,Feng Ye,Yueping Liu,Hong Bu 한국유방암학회 2019 Journal of breast cancer Vol.22 No.1
Purpose: Ductal carcinoma in situ (DCIS) contributes to 20%–30% of newly diagnosed cases of breast cancer in China. Although the breast cancer-specific mortality of DCIS is extremely low, a small proportion of DCIS patients still show relapse or metastasis, leading to poor prognosis. Little is known about the molecular mechanism for DCIS metastasis, partly due to the limited number of poor prognosis patients. This study analyzed the clinicopathological features and screened key microRNAs (miRNAs) contributing to local or distant recurrence. Methods: The clinicopathological features of DCIS were evaluated and survival analysis were performed to clarify risk factors associated with poor prognosis. Using miRNA arrays and real-time quantitative polymerase chain reaction (RT-qPCR) on DCIS formalin-fixed and paraffin-embedded samples with or without microinvasion with different clinical outcomes, potential DCIS metastasis-related miRNAs were screened out and further validated. The influence of one identified miRNA, miRNA-654-5p, on DCIS progression was analyzed. Results: Poor prognosis was significantly associated with larger tumor size and higher lymph node metastasis rate (both p < 0.05). Both were independent prognostic factors for DCIS. According to RT-qPCR results, distinct miRNA expression profiles were identified between DCIS and DCIS with microinvasion (DCIS-Mi) patients. In the DCIS panel, miRNA-654-5p was significantly upregulated in the patients with poor prognosis. In vitro, miRNA-654-5p promoted MDA-MB-231 cell mobility in healing tests and metastasis in the Transwell study. Conclusion: The panel of high-risk miRNAs in DCIS and DCIS-Mi differs markedly. miRNA-654-5p is significantly upregulated DCIS patients having poor prognosis and may be essential for local and distant recurrence in DCIS.
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