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A Wide Area Wind Power Control System Based WAMS and its Application
Cai, Hongquan,Bian, Erman,Xu, Hongtao,Wang, Xiaofeng,Du, Yu,Zhang, Zhidong,Jiao, Shaohua The Korean Institute of Electrical Engineers 2013 The Journal of International Council on Electrical Vol.3 No.2
This paper presents a wide area wind power control system (WPCS) based on WAMS that including its framework, master station, slave station and the control strategy. It is also stated that a practical case of the WPCS in Heilongjiang north China. The operation results demonstrate practicability and the advancement of the system.
Xiong Zhang,Shuchang Wang,Hongquan Yang,Yiping Cui 대한금속·재료학회 2015 ELECTRONIC MATERIALS LETTERS Vol.11 No.4
AlxGa1-xN (0.15 ≤ x ≤ 0.87) epilayers were grown on sapphire substrates by metal-organic chemical vapor deposition (MOCVD). The lattice deformation, chemical bonding states, and local electronic structure were characterized by a series of techniques, including X-ray diffraction (XRD), Raman scattering, X-ray photoelectron (XPS), and extended Xray absorption fine structure (EXAFS) spectroscopy. The XRD and Raman spectra revealed that substitution of Ga with Al in AlxGa1-xN epilayers induces a significant contraction in the crystal lattice and a slight expansion of internal parameter u. The XPS measurements indicated the absence of remarkable disorder of the chemical bonds in AlGaN with a high Al content. The EXAFS analysis also demonstrated that the Ga-N and Ga-Al bond lengths are independent of the Al content, whereas the Ga-Ga bond length varies with Al content.
Design and Optimization of Micro Gas Sensor
Yu Guangbin,Guan Yanqi,Zhang Hongquan,Song Ye 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8
The ordinary gas sensor has low material utilization, high power consumption, temperature distribution uneven and poor consistency problems. Based on film processing technology, this paper designs a new structure of micro gas sensor. Triangle type design is first adopted in the structure, with platinum as the electrode material, ceramics substrate. Using ANSYS Workbench to analysis different size electrode and substrate that including the temperature field, stress field and the optimization design for substrate and electrode, the sensor can be uniform temperature distribution, stress of small and the effective control of power consumption, it is beneficial to improve the overall performance of the sensor. In addition, the sensor is tested to verify the accuracy of the finite element simulation.
Trichoderma biodiversity in major ecological systems of China
Kai Dou,Jinxin Gao,Chulong Zhang,Hetong Yang,Xiliang Jiang,Jishun Li,Yaqian Li,Wei Wang,Hongquan Xian,Shigui Li,Yan Liu,Jindong Hu,Jie Chen 한국미생물학회 2019 The journal of microbiology Vol.57 No.8
An investigation of Trichoderma biodiversity involving a large-scale environmental gradient was conducted to understand the Trichoderma distribution in China. A total of 3,999 isolates were isolated from forestry, grassland, wetland and agriculture ecosystems, and 50 species were identified based on morphological characteristics and sequence analysis of genetic markers. Trichoderma harzianum showed the largest proportion of isolates and the most extensive distribution. Hypocrea semiorbis, T. epimyces, T. konilangbra, T. piluliferum, T. pleurotum, T. pubescens, T. strictipilis, T. hunua, T. oblongisporum and an unidentified species, Trichoderma sp. MA 3642, were first reported in China. Most Trichoderma species were distributed in Jilin and Heilongjiang Provinces in northeast China and the fewest were distributed in Qinghai Province. Based on the division of ecological and geographic factors, forestry ecosystems and low-altitude regions have the greatest species biodiversity of Trichoderma.
Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke
Zhou Yiran,Wu Di,Yan Su,Xie Yan,Zhang Shun,Lv Wenzhi,Qin Yuanyuan,Liu Yufei,Liu Chengxia,Lu Jun,Li Jia,Zhu Hongquan,Liu Weiyin Vivian,Liu Huan,Zhang Guiling,Zhu Wenzhen 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.8
Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcome