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Search Results: 1 - 10 of 35397 matches for " RuiJiang Hong "
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Analysis on the Effect of Shading on the Characteristics of Large-scale on-grid PV System in China  [PDF]
Yunlin Sun, Xiangzhi Li, Ruijiang Hong, Hui Shen
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B042
Abstract: Because of rich solar resource and low land cost, a lot of large-scale ground-based grid-connected PV systems have been built in Northwest China. In this paper, some shading phenomena on a grid-connected PV system inNorthwest Chinaare classified and analyzed. Through the I-V curve test of PV modules, it can be seen that dust influence system performance of the grid-connected PV system. And the experimental results have shown that shading could affect the electrical properties of PV modules. Meanwhile, same shading area on different shading positions could have different impacts on the identical PV module.
Effects of high temperature annealing on the dislocation density and electrical properties of upgraded metallurgical grade multicrystalline silicon
HuaBi Xu,RuiJiang Hong,Hui Shen
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-010-4090-7
Abstract: High temperature annealing was performed on upgraded metallurgical grade multicrystalline silicon (UMG multi-Si) wafers with a purity of 99.999%. The samples were mechanically polished and chemically etched, and then the microstructures were observed by a scanning electron microscope (SEM). The minority carrier lifetime and resistivity of the samples were measured using microwave photoconductance decay and four-point probe techniques, respectively. The results show that the electrical properties of the samples decrease rather than increase as the annealing temperature increases, while the number of dislocations in bulk Si reduced or even disappeared after annealing for 6 hours at 1100–1400°C. It is considered that the structural microdefects induced by the high concentration of metal impurities (including interstitial or substitutional impurities and nanoscale precipitates) determine the minority carrier recombination activity and thus the electrical properties of UMG multi-Si wafers rather than dislocations in bulk Si.
RF Magnetron Sputtering Aluminum Oxide Film for Surface Passivation on Crystalline Silicon Wafers
Siming Chen,Luping Tao,Libin Zeng,Ruijiang Hong
International Journal of Photoenergy , 2013, DOI: 10.1155/2013/792357
The structure and properties of ZnS films prepared by chemical bath deposition

LI Zhong
, HUANG Saihao,HONG Ruijiang

- , 2017,
Abstract: 采用化学水浴法制备了ZnS薄膜,并从沉积ZnS薄膜的化学反应原理出发,对其结构和性能进行了综合研究。结果表明:随着沉积时间的增加,ZnS薄膜厚度增加,其光学透过率降低,薄膜的禁带宽度也随之变小,最小值为3.74 eV;而薄膜的粗糙度变化不大,其值在6~9 nm之间。随着反应物浓度的增加,薄膜的光学透过率呈先增加后减小的变化,当反应物浓度过低或过高时,沉积反应都会向同质反应偏移,在薄膜表面生成杂质,导致薄膜不均匀。当沉积时间为120 min,ZnSO4、SC(NH2)2和NH3·H2O的浓度分别为0.03、0.4和4.0 mol/L时,沉积的ZnS薄膜呈均匀致密结构,成分为单一ZnS相,其光学透过率在450 ~ 900 nm波段高于70%
Silicon nitride thin films with passivation and anti-reflection properties prepared by mid-frequency magnetron sputtering

SHEN Guosheng
,CHEN Wenli,LI Zhong,HONG Ruijiang

- , 2016,
Abstract: 使用中频磁控溅射法制备了具有光学减反射与电学钝化的复合功能的氮化硅(SiNx)薄膜,并对其结构和性能进行了综合研究。结果表明:在常规制绒硅片上沉积的两种不同折射率的单层SiNx减反膜表现出优异的光学性能,其在300~1 100 nm波段的平均反射率由镀膜前的14.86%下降到镀膜后的5.50%和6.58%;若采用多层的氮化硅(m-SiNx)+ 氮氧化硅(SiOxNy)薄膜作为减反层,则其平均反射率进一步下降到4.03%。同时,优化工艺制备得到的掺氢氮化硅(SiNx∶H)薄膜,表现出良好的电学钝化特性。试验中分别制备了两种复合结构的薄膜,即SiNx∶H(厚度15 nm) + m-SiNx+ SiOxNy与SiNx∶H(厚度30 nm) + m-SiNx+ SiOxNy复合薄膜,其平均反射率分别为5.88%和5.43%; 把这两种薄膜用于晶体硅太阳电池上,其开路电压则都达到了575 mV,表现出良好的性能
Development of a finite-element-based design sensitivity analysis for buckling and postbuckling of composite plates
Ruijiang Guo,Aditi Chattopadhyay
Mathematical Problems in Engineering , 1995, DOI: 10.1155/s1024123x95000160
Development of a finite-element-based design sensitivity analysis for buckling and postbuckling of composite plates
Guo Ruijiang,Chattopadhyay Aditi
Mathematical Problems in Engineering , 1995,
Abstract: A finite element based sensitivity analysis procedure is developed for buckling and postbuckling of composite plates. This procedure is based on the direct differentiation approach combined with the reference volume concept. Linear elastic material model and nonlinear geometric relations are used. The sensitivity analysis technique results in a set of linear algebraic equations which are easy to solve. The procedure developed provides the sensitivity derivatives directly from the current load and responses by solving the set of linear equations. Numerical results are presented and are compared with those obtained using finite difference technique. The results show good agreement except at points near critical buckling load where discontinuities occur. The procedure is very efficient computationally.

WANG Hao,HUANG Rongfang,HONG Ruijiang,WU Jie,WEN Lishi,

材料研究学报 , 1992,
Abstract: Microstructure,crystallography,electron structure and optical properties ofaluminum nitride film deposited by ion beam enhanced reactive magnetron sputtering were stu-died.The results show that the microstructure of the film is uniform and the grain size
Improved Adaptive and Multi-group Parallel Genetic Algorithm Based on Good-point Set
Ruijiang Wang,Yihong Ru,Qi Long
Journal of Software , 2009, DOI: 10.4304/jsw.4.4.348-356
Abstract: This paper puts forward an adaptive genetic algorithm to solve the multi-group homogenization in the solution space. The use of good-point set approach improves the initial population, ensuring them a uniform distribution in the solution space. In the evolution, each population implements independent genetic operations (selection, good-point set crossover, and mutation). The introduction of adaptive operator makes crossover and mutation operator self-adaptive. As the algorithm adopts a strategy of retaining the best, a space compression strategy can be designed based on information entropy theory through the information of all sub-populations in the evolution process, which ensures the algorithmic stability and fast convergence to the global optimal solution. Furthermore, in order to explore the feasibility and effectiveness of the improved multi-group parallel algorithm, optimization tests are implemented on some of the typical multi-peak functions, and the results are compared with the analytic solution and optimal solution of basic GA. The outcome suggests that the global searching ability and convergence of the improved algorithm is far better than the basic one.
Groupwise Constrained Reconstruction for Subspace Clustering
Ruijiang Li,Bin Li,Ke Zhang,Cheng Jin,Xiangyang Xue
Computer Science , 2012,
Abstract: Reconstruction based subspace clustering methods compute a self reconstruction matrix over the samples and use it for spectral clustering to obtain the final clustering result. Their success largely relies on the assumption that the underlying subspaces are independent, which, however, does not always hold in the applications with increasing number of subspaces. In this paper, we propose a novel reconstruction based subspace clustering model without making the subspace independence assumption. In our model, certain properties of the reconstruction matrix are explicitly characterized using the latent cluster indicators, and the affinity matrix used for spectral clustering can be directly built from the posterior of the latent cluster indicators instead of the reconstruction matrix. Experimental results on both synthetic and real-world datasets show that the proposed model can outperform the state-of-the-art methods.
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