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Search Results: 1 - 10 of 32852 matches for " Ruijiang Guo "
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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.
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.
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.
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
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.

Wang Ruijiang,Chen Zhongyi,Huang Xiangxu,

热带亚热带植物学报 , 1998,
Abstract: The authors have observed the chromosome numbers of 12 mangrove species growing on the salty and muddy coasts and 2 island species belonging to Rhizophoraceae and Sonneratiaceae in China. The chromosome numbers of seven taxa, namely Bruguiera sexangula, B. sexangula var. rhynchopetala, Rhizophora stylosa, Sonneratia hainanensis, S. paracaseolaris, S. ovata and Carallia brachiata, are reported for the first time, which give a supplement to chromosome data of Chinese mangroves. Fourly-four names, which represent 44.9% of the world mangrove species, are listed in detail, and chromosomal data of partial species are provided.
GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation
Xun Jia,Yifei Lou,Ruijiang Li,William Y. Song,Steve B. Jiang
Physics , 2010, DOI: 10.1118/1.3469447
Abstract: Purpose: Cone-beam CT (CBCT) plays an important role in image guided radiation therapy (IGRT). However, the large radiation dose from serial CBCT scans in most IGRT procedures raises a clinical concern, especially for pediatric patients who are essentially excluded from receiving IGRT for this reason. The goal of this work is to develop a fast GPU-based algorithm to reconstruct CBCT from undersampled and noisy projection data so as to lower the imaging dose. Methods: The CBCT is reconstructed by minimizing an energy functional consisting of a data fidelity term and a total variation regularization term. We developed a GPU-friendly version of the forward-backward splitting algorithm to solve this model. A multi-grid technique is also employed. Results: It is found that 20~40 x-ray projections are sufficient to reconstruct images with satisfactory quality for IGRT. The reconstruction time ranges from 77 to 130 sec on a NVIDIA Tesla C1060 GPU card, depending on the number of projections used, which is estimated about 100 times faster than similar iterative reconstruction approaches. Moreover, phantom studies indicate that our algorithm enables the CBCT to be reconstructed under a scanning protocol with as low as 0.1 mAs/projection. Comparing with currently widely used full-fan head and neck scanning protocol of ~360 projections with 0.4 mAs/projection, it is estimated that an overall 36~72 times dose reduction has been achieved in our fast CBCT reconstruction algorithm. Conclusions: This work indicates that the developed GPU-based CBCT reconstruction algorithm is capable of lowering imaging dose considerably. The high computation efficiency in this algorithm makes the iterative CBCT reconstruction approach applicable in real clinical environments.
Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy
Ruijiang Li,Xun Jia,John H. Lewis,Xuejun Gu,Michael Folkerts,Chunhua Men,Steve B. Jiang
Physics , 2010, DOI: 10.1118/1.3426002
Abstract: Purpose: To develop an algorithm for real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy. Methods: Given a set of volumetric images of a patient at N breathing phases as the training data, we perform deformable image registration between a reference phase and the other N-1 phases, resulting in N-1 deformation vector fields (DVFs). These DVFs can be represented efficiently by a few eigenvectors and coefficients obtained from principal component analysis (PCA). By varying the PCA coefficients, we can generate new DVFs, which, when applied on the reference image, lead to new volumetric images. We then can reconstruct a volumetric image from a single projection image by optimizing the PCA coefficients such that its computed projection matches the measured one. The 3D location of the tumor can be derived by applying the inverted DVF on its position in the reference image. Our algorithm was implemented on graphics processing units (GPUs) to achieve real-time efficiency. We generated the training data using a realistic and dynamic mathematical phantom with 10 breathing phases. The testing data were 360 cone beam projections corresponding to one gantry rotation, simulated using the same phantom with a 50% increase in breathing amplitude. Results: The average relative image intensity error of the reconstructed volumetric images is 6.9% +/- 2.4%. The average 3D tumor localization error is 0.8 mm +/- 0.5 mm. On an NVIDIA Tesla C1060 GPU card, the average computation time for reconstructing a volumetric image from each projection is 0.24 seconds (range: 0.17 and 0.35 seconds). Conclusions: We have shown the feasibility of reconstructing volumetric images and localizing tumor positions in 3D in near real-time from a single x-ray image.
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