http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
PARALLEL IMAGE RECONSTRUCTION FOR NEW VACUUM SOLAR TELESCOPE
Xue-Bao Li,Feng Wang,Yong Yuan Xiang,Yan-Fang Zheng,Ying Bo Liu,Hui Deng,Kai-fan Ji 한국천문학회 2014 Journal of The Korean Astronomical Society Vol.47 No.2
Many advanced ground-based solar telescopes improve the spatial resolution of observation images using an adaptive optics (AO) system. As any AO correction remains only partial, it is necessary to use post-processing image reconstruction techniques such as speckle masking or shift-and-add (SAA) to reconstruct a high-spatial-resolution image from atmospherically degraded solar images. In the New Vacuum Solar Telescope (NVST), the spatial resolution in solar images is improved by frame selection and SAA. In order to overcome the burden of massive speckle data processing, we investigate the possibility of using the speckle reconstruction program in a real-time application at the telescope site. The code has been written in the C programming language and optimized for parallel processing in a multi-processor environment. We analyze the scalability of the code to identify possible bottlenecks, and we conclude that the presented code is capable of being run in real-time reconstruction applications at NVST and future large aperture solar telescopes if care is taken that the multi-processor environment has low latencies between the computation nodes.
Ji-Ying Shi,Deng-Yu Zhang,Fei Xue,Ya-Jing Li,Wen Qiao,Wen-Jing Yang,Yi-Ming Xu,Ting Yang 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5
This paper presents a moth-flame optimization (MFO)-based maximum power point tracking (MPPT) method for photovoltaic (PV) systems. The MFO algorithm is a new optimization method that exhibits satisfactory performance in terms of exploration, exploitation, local optima avoidance, and convergence. Therefore, the MFO algorithm is quite suitable for solving multiple peaks of PV systems under partial shading conditions (PSCs). The proposed MFO-MPPT is compared with four MPPT algorithms, namely the perturb and observe (P&O)-MPPT, incremental conductance (INC)-MPPT, particle swarm optimization (PSO)-MPPT and whale optimization algorithm (WOA)-MPPT. Simulation and experiment results demonstrate that the proposed algorithm can extract the global maximum power point (MPP) with greater tracking speed and accuracy under various conditions.
Ji-Ying Shi,Deng-Yu Zhang,Le-Tao Ling,Fei Xue,Ya-Jing Li,Zi-Jian Qin,Ting Yang 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3
This paper presents a dual-algorithm search method (GWO-GSO) combining grey wolf optimization (GWO) and golden-section optimization (GSO) to realize maximum power point tracking (MPPT) for photovoltaic (PV) systems. First, a modified grey wolf optimization (MGWO) is activated for the global search. In conventional GWO, wolf leaders possess the same impact on decision-making. In this paper, the decision weights of wolf leaders are automatically adjusted with hunting progression, which is conducive to accelerating hunting. At the later stage, the algorithm is switched to GSO for the local search, which play a critical role in avoiding unnecessary search and reducing the tracking time. Additionally, a novel restart judgment based on the quasi-slope of the power-voltage curve is introduced to enhance the reliability of MPPT systems. Simulation and experiment results demonstrate that the proposed algorithm can track the global maximum power point (MPP) swiftly and reliably with higher accuracy under various conditions.
Shi, Ji-Ying,Zhang, Deng-Yu,Xue, Fei,Li, Ya-Jing,Qiao, Wen,Yang, Wen-Jing,Xu, Yi-Ming,Yang, Ting The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5
This paper presents a moth-flame optimization (MFO)-based maximum power point tracking (MPPT) method for photovoltaic (PV) systems. The MFO algorithm is a new optimization method that exhibits satisfactory performance in terms of exploration, exploitation, local optima avoidance, and convergence. Therefore, the MFO algorithm is quite suitable for solving multiple peaks of PV systems under partial shading conditions (PSCs). The proposed MFO-MPPT is compared with four MPPT algorithms, namely the perturb and observe (P&O)-MPPT, incremental conductance (INC)-MPPT, particle swarm optimization (PSO)-MPPT and whale optimization algorithm (WOA)-MPPT. Simulation and experiment results demonstrate that the proposed algorithm can extract the global maximum power point (MPP) with greater tracking speed and accuracy under various conditions.
Shi, Ji-Ying,Zhang, Deng-Yu,Ling, Le-Tao,Xue, Fei,Li, Ya-Jing,Qin, Zi-Jian,Yang, Ting The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3
This paper presents a dual-algorithm search method (GWO-GSO) combining grey wolf optimization (GWO) and golden-section optimization (GSO) to realize maximum power point tracking (MPPT) for photovoltaic (PV) systems. First, a modified grey wolf optimization (MGWO) is activated for the global search. In conventional GWO, wolf leaders possess the same impact on decision-making. In this paper, the decision weights of wolf leaders are automatically adjusted with hunting progression, which is conducive to accelerating hunting. At the later stage, the algorithm is switched to GSO for the local search, which play a critical role in avoiding unnecessary search and reducing the tracking time. Additionally, a novel restart judgment based on the quasi-slope of the power-voltage curve is introduced to enhance the reliability of MPPT systems. Simulation and experiment results demonstrate that the proposed algorithm can track the global maximum power point (MPP) swiftly and reliably with higher accuracy under various conditions.
Xie, Cong-Ying,Jin, Xian-Ce,Deng, Xia,Xue, Sheng-Liu,Jing, Zhao,Su, Hua-Fang,Wu, Shi-Xiu Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12
Objectives: To evaluate the feasibility and efficacy of simultaneous accelerated radiation therapy (SMART) and concurrent weekly paclitaxel in the treatment of locally advanced nasopharyngeal carcinoma. Methods: Forty-one patients with pathologically confirmed nasopharyngeal carcinoma were treated by SMART with concurrent weekly paclitaxel. Daily fraction doses of 2.5 Gy and 2.0 Gy were prescribed to the gross tumor volume (GTV) and clinical target volume (CTV) to a total dose of 70 Gy and 56 Gy, respectively. Paclitaxel of $45mg/m^2$ was administered concurrently with radiation therapy every week. Adjuvant chemotherapy was given four weeks after the completion of the radiotherapy (RT) if the tumor demonstrated only a partial response (PR). Results: All patients completed the radiotherapy (RT) course. Adjuvant chemotherapy was administered to 12 patients due to PR. The CR (complete remission) rate was 82.9% three months after RT. Thirty-nine (95.1%) patients completed the concurrent weekly chemotherapy with paclitaxel, and two patients skipped their sixth course. Seven patients had a 15% dosage reduction at the fifth and sixth course due to grade 3 mucositis. The median follow-up was 30 (range, 14-42) months. The three-year overall survival (OS), metastases-free survival (MFS), and local control rates were 77.0%, 64.4%, and 97.6%, respectively. No correlation between survival rate and T or N stage was observed. Grade 3 acute mucositis and xerostomia were present in 17.1% and 7.1%, respectively. Conclusion: SMART with concurrent weekly paclitaxel is a potentially effective and toxicity tolerable approach in the treatment of locally advanced NPC.
Yue-Feng Wang,Xue-Yue Hou,Chuan-Ying Jiang,Tong-Tong Zhai,Rui Miao,Jun-Jie Deng,Zhi-Hong Yao,Rongshu Zhang 한국원예학회 2021 Horticulture, Environment, and Biotechnology Vol.62 No.2
Trichoderma spp. are widely applied, eco-friendly mycofungicides and plant growth promoters. Native Trichoderma strainsare likely to have more productive, stable biocontrol and biofertilizer activities since they are well adapted to the local environment. In this study, we isolated a native Trichoderma strain ‘Th62’ from the rhizosphere soil of wild Chelidonium majusplants in Harbin, China (126.6341°E, 45.7242°N). The isolated Trichoderma strain was identifi ed as a T. harzianum strainvia morphological observation and molecular methods based on the rDNA internal transcribed spacer region and elongationfactor-1α gene sequences. Signifi cant antagonistic activities of Th62 against fi ve soil-borne fungal phytopathogens,Fusarium oxysporum , Sclerotinia sclerotiorum , Alternaria alternata , Cytospora chrysosperma, and Rhizoctonia solani ,were confi rmed by dual-culture assays. Furthermore, the crude fermentation products of Th62 also displayed antifungalactivities against these fi ve pathogens. To evaluate the function of Th62 as a biofertilizer, we subsequently applied Th62on cockscomb ( Celosia cristata L), a plant species with both ornamental and medicinal values, by inoculation with Th62conidia at diff erent concentrations, 1 × 10 10 cfu mL −1 , 1 × 10 11 cfu mL −1 , and 1 × 10 12 cfu mL −1 . The benefi cial eff ects ofTh62 were evaluated by measuring the growth and photosynthetic traits of the inoculated cockscomb plants, and the resultsdemonstrated that Th62 signifi cantly improved the photosynthetic effi ciency, photosynthetic capacity, and the adaptabilityto intense light of the inoculated cockscomb plants compared to the controls. Consistently, Th62 inoculation signifi cantlyimproved the growth and fl ower yield of cockscomb. We presented a positive case of isolating and applying native microbialresources on local plantation practices.