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Search Results: 1 - 10 of 99 matches for " Lijian An "
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Robust Stability Analysis for the New Type Rural Social Endowment Insurance System with Minor Fluctuations in China
Lijian Wang
Discrete Dynamics in Nature and Society , 2012, DOI: 10.1155/2012/934638
Abstract: The new type rural social endowment insurance system is one of the important policy arrangements in public welfare field in China. Quantitative research is theoretically and practically important for studying the new type rural social endowment insurance system. In this paper, based on the modern control theory, the linear control model for the new type rural social endowment insurance system is set up, and then the robust stability for the new type rural social endowment insurance system of China with minor fluctuations is discussed by using the linear control model.
Exclusion or Inclusion: The Minority Culture Protection Inheritance and Development in the Festival Economy A Case Study of “San Yue Jie” Festival of Bai Nationality, Dali
Lijian Zhang
Asian Social Science , 2009, DOI: 10.5539/ass.v4n4p10
Abstract: The thesis based on the case study of “San Yue Jie” Festival of Bai Nationality, reavealed the history, developing process and current situation of “San Yue Jie” Festival. Considered that the festival acted as an important role in the manority culture, the festival economy was a key to develop the manority culture. Futher more, the thesis disclosed the positive influences, formation and features of festival economy. Discussed that how to transform the traditional festival into an festival economy sucessfully. The festival economy would be provide an model to protect, inheritance and develop the traditional manority culture.
Erosion and sediment budget of the 2008 Wenchuan earthquake: A case study on Mianyuan River basin  [PDF]
Lijian Qi, ZhaoYin Wang, Xuzhao Wang
Natural Science (NS) , 2012, DOI: 10.4236/ns.2012.428084
Abstract: The Wenchuan Earthquake caused a large number of avalanches and landslides at different scales. It is extremely significant to evaluate the sediment in the earthquake river basins. Along the 38 km long upper Mianyuan River 196 landslides and avalanches happened during the earthquake, which have formed 25 landslide dams and quake lakes. The total volume of sediment erosion due to earthquake was about 115 million m3, which is 75 times higher than the soil erosion in normal years. Only a part of the solid material could be transported by the river water flow as suspended load and bed load. The total volume of bed load deposit in the river and the quake lakes was 1.43 million m3. Moreover the quake lakes had also trapped 0.12 million m3 suspended load. Only 0.18 million m3 of fine sediment had been drifted through the quake lakes and transported into the lower reaches of the Mianyuan River. The wide range of size distributions of sediment from earthquake erosion caused the extreme difference in the amounts of sediment erosion and transportation. Most of the sediment from earthquake erosion can be only transported for a short distance by landslides and debris flows. Less than 0.2% of the total volume of sediment from earthquake erosion may be transported into large rivers. Therefore, earthquake erosion has little effect on the sediment transportation and fluvial processes in the large rivers.
Beauvericin, a Bioactive Compound Produced by Fungi: A Short Review
Qinggui Wang,Lijian Xu
Molecules , 2012, DOI: 10.3390/molecules17032367
Abstract: Beauvericin is a cyclic hexadepsipeptide mycotoxin, which has insecticidal, antimicrobial, antiviral and cytotoxic activities. It is a potential agent for pesticides and medicines. This paper reviews the bioactivity, fermentation and biosynthesis of the fungal product beauvericin.
A resourceful splitting technique with applications to deterministic and stochastic multiscale finite element methods
Lijian Jiang,Michael Presho
Mathematics , 2012, DOI: 10.1137/110843253
Abstract: In this paper we use a splitting technique to develop new multiscale basis functions for the multiscale finite element method (MsFEM). The multiscale basis functions are iteratively generated using a Green's kernel. The Green's kernel is based on the first differential operator of the splitting. The proposed MsFEM is applied to deterministic elliptic equations and stochastic elliptic equations, and we show that the proposed MsFEM can considerably reduce the dimension of the random parameter space for stochastic problems. By combining the method with sparse grid collocation methods, the need for a prohibitive number of deterministic solves is alleviated. We rigorously analyze the convergence of the proposed method for both the deterministic and stochastic elliptic equations. Computational complexity discussions are also offered to supplement the convergence analysis. A number of numerical results are presented to confirm the theoretical findings.
Spline Single-Index Prediction Model
Li Wang,Lijian Yang
Mathematics , 2007,
Abstract: For the past two decades, single-index model, a special case of projection pursuit regression, has proven to be an efficient way of coping with the high dimensional problem in nonparametric regression. In this paper, based on weakly dependent sample, we investigate the single-index prediction (SIP) model which is robust against deviation from the single-index model. The single-index is identified by the best approximation to the multivariate prediction function of the response variable, regardless of whether the prediction function is a genuine single-index function. A polynomial spline estimator is proposed for the single-index prediction coefficients, and is shown to be root-n consistent and asymptotically normal. An iterative optimization routine is used which is sufficiently fast for the user to analyze large data of high dimension within seconds. Simulation experiments have provided strong evidence that corroborates with the asymptotic theory. Application of the proposed procedure to the rive flow data of Iceland has yielded superior out-of-sample rolling forecasts.
Spline-backfitted kernel smoothing of nonlinear additive autoregression model
Li Wang,Lijian Yang
Mathematics , 2006, DOI: 10.1214/009053607000000488
Abstract: Application of nonparametric and semiparametric regression techniques to high-dimensional time series data has been hampered due to the lack of effective tools to address the ``curse of dimensionality.'' Under rather weak conditions, we propose spline-backfitted kernel estimators of the component functions for the nonlinear additive time series data that are both computationally expedient so they are usable for analyzing very high-dimensional time series, and theoretically reliable so inference can be made on the component functions with confidence. Simulation experiments have provided strong evidence that corroborates the asymptotic theory.
On Finite Metahamiltonian p-Groups
Lijian An,Qinhai Zhang
Mathematics , 2014,
Abstract: A group is called metahamiltonian if all non-abelian subgroups of it are normal. This concept is a natural generalization of Hamiltonian groups. In this paper, the properties of finite metahamiltonian $p$-groups are investigated.
A Classification of Finite Metahamiltonian $p$-Groups
Xingui Fang,Lijian An
Mathematics , 2013,
Abstract: A group is called metahamiltonian if all non-abelian subgroups of it are normal. This concept is a natural generation of Hamiltonian groups. In this paper, a complete classification of finite metahamiltonian $p$-groups is given.
AHybridFuzzy-RepetitiveControlSchemefor400HzCVCFInverters
LIJian,KANGYong,CHENJian
中国电机工程学报 , 2005,
Abstract:
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