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Search Results: 1 - 10 of 37917 matches for " CAI Ming "
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Effect on Treatment of the Landfill Leachate with the Furrow Irrigation in Onland Planting Reed (Phragmites)  [PDF]
Kun Shi, Ming Zou, Hongxiang Cai
Journal of Water Resource and Protection (JWARP) , 2012, DOI: 10.4236/jwarp.2012.49086
Abstract: The furrow irrigation tests were done to estimated the efficiency of the HRT(Hydraulic Retention Time) and landfill leachat collected from Dalian Maoyimgzi Municipal Solid Waste Landfill, which contained high level of COD (Chemical Oxygen Demand, 3.8 × 104 mg·L–1), TOC (total carbon, 4.8 × 103 mg·L–1), TN(total nitrogen, 2.9 × 103 mg·L–1) and SS (Suspended Solids, 6.5 × 102 mg·L–1), using the reed (phragmites) cultivated onland located in south area of Dalian Jiaotong University. The results showed that: 1) The TN concentration was decreased from 9.8 × 102 mg·L–1 in the landfill leachate to 7.6 × 102 mg·L–1 in the soil water, and the 22.4% of the removal rate; 2) The TOC concentration was decreased from 4.8 × 103 mg·L–1 in the landfill leachate to 1.0 × 103 mg·L–1 in the soil water, and the 79.2% of re- moved rate; 3) The water concentration in the soil was no significant difference of irrigation between the water and the landfill leachate; 4) ΔHRT was 2.1 hours in irrigation 39 L of the water and landfill leachate and 1.3 hours in the 9 L.
Well test analysis on pressure of viscoelastic polymer solution with variable rheological parameters*  [PDF]
Hongjun Yin, Weili Yang, Siyuan Meng, Ming Cai
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.212161
Abstract: According to the behavior that the polymer solution has both the characteristics of viscosity and elastic properties, the transient flow mathe- matical model considered the viscoelasticity of the polymer solution has been established. The model, in which the variation of the rheological parameters during the seepage flow has been also taken into consideration, has been solved using finite-difference method. The type curves have been plotted. The influence of some properties of polymer solution including the viscocity, the elastic properties and the rheological parameters has been analyzed. Compared with the curves of the power-law fluid, it is shown that the pressure derivative curve considering the elasticity of the polymer solution upwarps less at the radial flow regime. Besides, it will come down as the variation of the rheological parameters, which is quite different from the case regarding them as constants. Therefore, in well test analysis on pressure of polymer solution, it’s necessary to consider the elasticity and the variation of the rheological parameters.
The Design and Implementation of KDD System for Industrial Flow Object
Ming Cai,Jing Cai,Shouning Qu
International Journal of Engineering and Advanced Technology , 2012,
Abstract: KDD is an important research and application area. This paper is aimed at the application of flow object’s association rules extraction and object modeling in the cement industry. We adopt the improved Apriori algorithm and the flexible neural tree model of the structure optimization algorithm, designing and implementing the KDD system for industrial flow object by J2EE. The whole system is mainly divided into two functions: one function module is association rules extraction, the other one is object modeling, and the original data were collected from the decomposing furnace production link, which is one of the most important processes of the cement industry.
Polar Vortex Oscillation Viewed in an Isentropic Potential Vorticity Coordinate
REN Rongcai,Ming CAI,
REN Rongcai
,Ming CAI

大气科学进展 , 2006,
Abstract: The stratospheric polar vortex oscillation (PVO) in the Northern Hemisphere is examined in a semiLagrangian θ-PVLAT coordinate constructed by using daily isentropic potential vorticity maps derived from NCEP/NCAR reanalysis Ⅱ dataset covering the period from 1979 to 2003. In the semi-Lagrangian θ-PVLAT coordinate, the variability of the polar vortex is solely attributed to its intensity change because the changes in its location and shape would be naturally absent by following potential vorticity contours on isentropic surfaces. The EOF and regression analyses indicate that the PVO can be described by a pair of poleward and downward propagating modes. These two modes together account for about 82% variance of the daily potential vorticity anomalies over the entire Northern Hemisphere. The power spectral analysis reveals a dominant time scale of about 107 days in the time series of these two modes,representing a complete PVO cycle accompanied with poleward propagating heating anomalies of both positive and negative signs from the equator to the pole. The strong polar vortex corresponds to the arrival of cold anomalies over the polar circle and vice versa. Accompanied with the poleward propagation is a simultaneous downward propagation. The downward propagation time scale is about 20 days in high and low latitudes and about 30 days in mid-latitudes. The zonal wind anomalies lag the poleward and downward propagating temperature anomalies of the opposite sign by 10 days in low and high latitudes and by 20 days in mid-latitudes. The time series of the leading EOF modes also exhibit dominant time scales of 8.7, 16.9, and 33.8 months. They approximately follow a double-periodicity sequence and correspond to the 3-peak extratropical Quasi-Biennial Oscillation (QBO) signal.
Discussion: "A significance test for the lasso"
T. Tony Cai,Ming Yuan
Statistics , 2014, DOI: 10.1214/13-AOS1175B
Abstract: Discussion of "A significance test for the lasso" by Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, Robert Tibshirani [arXiv:1301.7161].
A reproducing kernel Hilbert space approach to functional linear regression
Ming Yuan,T. Tony Cai
Statistics , 2012, DOI: 10.1214/09-AOS772
Abstract: We study in this paper a smoothness regularization method for functional linear regression and provide a unified treatment for both the prediction and estimation problems. By developing a tool on simultaneous diagonalization of two positive definite kernels, we obtain shaper results on the minimax rates of convergence and show that smoothness regularized estimators achieve the optimal rates of convergence for both prediction and estimation under conditions weaker than those for the functional principal components based methods developed in the literature. Despite the generality of the method of regularization, we show that the procedure is easily implementable. Numerical results are obtained to illustrate the merits of the method and to demonstrate the theoretical developments.
Adaptive covariance matrix estimation through block thresholding
T. Tony Cai,Ming Yuan
Statistics , 2012, DOI: 10.1214/12-AOS999
Abstract: Estimation of large covariance matrices has drawn considerable recent attention, and the theoretical focus so far has mainly been on developing a minimax theory over a fixed parameter space. In this paper, we consider adaptive covariance matrix estimation where the goal is to construct a single procedure which is minimax rate optimal simultaneously over each parameter space in a large collection. A fully data-driven block thresholding estimator is proposed. The estimator is constructed by carefully dividing the sample covariance matrix into blocks and then simultaneously estimating the entries in a block by thresholding. The estimator is shown to be optimally rate adaptive over a wide range of bandable covariance matrices. A simulation study is carried out and shows that the block thresholding estimator performs well numerically. Some of the technical tools developed in this paper can also be of independent interest.
Optimal estimation of the mean function based on discretely sampled functional data: Phase transition
T. Tony Cai,Ming Yuan
Statistics , 2012, DOI: 10.1214/11-AOS898
Abstract: The problem of estimating the mean of random functions based on discretely sampled data arises naturally in functional data analysis. In this paper, we study optimal estimation of the mean function under both common and independent designs. Minimax rates of convergence are established and easily implementable rate-optimal estimators are introduced. The analysis reveals interesting and different phase transition phenomena in the two cases. Under the common design, the sampling frequency solely determines the optimal rate of convergence when it is relatively small and the sampling frequency has no effect on the optimal rate when it is large. On the other hand, under the independent design, the optimal rate of convergence is determined jointly by the sampling frequency and the number of curves when the sampling frequency is relatively small. When it is large, the sampling frequency has no effect on the optimal rate. Another interesting contrast between the two settings is that smoothing is necessary under the independent design, while, somewhat surprisingly, it is not essential under the common design.
Rate-Optimal Detection of Very Short Signal Segments
T. Tony Cai,Ming Yuan
Statistics , 2014,
Abstract: Motivated by a range of applications in engineering and genomics, we consider in this paper detection of very short signal segments in three settings: signals with known shape, arbitrary signals, and smooth signals. Optimal rates of detection are established for the three cases and rate-optimal detectors are constructed. The detectors are easily implementable and are based on scanning with linear and quadratic statistics. Our analysis reveals both similarities and differences in the strategy and fundamental difficulty of detection among these three settings.
Concept and significance of a subjective and multiple index system of clinical evaluation for traditional Chinese medicine
Ming Ren,Hong-cai Shang
Zhong Xi Yi Jie He Xue Bao , 2011,
Abstract: : Traditional Chinese medicine (TCM) has its own system of diagnosis and treatment theory, and its methods for evaluating clinical efficacy are different from those of Western medicine. Applying evaluation techniques and methods that are used in Western medicine mechanically to TCM will not work. So building evaluation techniques, which adhere to regulations and characteristics of TCM, is necessary and imperative. As the quality of life and patient-reported outcome instruments were brought into practice and developed, clinical evaluation ideas and methods for TCM are provided with an opportunity for development. This article puts forward the concept of subjective complex outcomes (SCOs), which constitutes subjective feelings gained from the patient, doctor and caregiver, different from laboratory parameters. SCOs provide a multidimensional and complex health-related quality of life (HRQL) assessment and focus on the source of assessment information of diseases. This article also introduces a case study building SCO methods of TCM treatment for chronic obstructive pulmonary diseases, in order to promote discussion and provide a platform for future research.
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