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Search Results: 1 - 10 of 9883 matches for " Zeng Guangming "
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Method of determining grid sizes of finite element method of water quality models for geometrically complex river course
Yang Chunping,Zhong Yuanyuan,Zeng Guangming
Chinese Science Bulletin , 1998, DOI: 10.1007/BF02884555
Abstract: The method of determining grid sizes of finite element method of water quality models is presented on the basis of characteristics of pollutant distributed in the just downstream grid of discharge. A given length of the grid is applied to calculate the minimum distance for the pollutant to complete mixing in the lateral direction n the just downstream grid of the discharge, and the minimum distance is regarded as the maximum width of the grid. Application of the maximum width of the grid and flow rate per unit width of the river results in the number of flow zones in the lateral direction of the river. Consequently division of grids and numerical calculation of water quality with finite clement method can be carried out on the basis of available method and topographic map of the river course. Analysis of scnsitivity shows that the effect of the width of the river and the effect of the length of the grids on the minimum number of flow zones in the lateral direction is relatively small, and that the effect of the given lateral mixing degree of the pollutants on the minimum number of flow zones is acceptable, which indicates that the method presented is relatively stable. The method can avoid thc blindness and randomness in determining the number of flow zones, and can decrease the amount of computation under the condition that the accuracy requirement is mct. The problem that determining the sizes of the grids must rely on empirical knowledge has bcen solved.
Method of determining grid sizes of finite element method of water quality models for geometrically complex river course

Yang Chunping,Zhong Yuanyuan,Zeng Guangming,

科学通报(英文版) , 1998,
Abstract: The method of determining grid sizes of finite element method of water quality models is presented on the basis of characteristics of pollutant distributed in the just downstream grid of discharge. A given length of the grid is applied to calculate the minimum distance for the pollutant to complete mixing in the lateral direction n the just downstream grid of the discharge, and the minimum distance is regarded as the maximum width of the grid. Application of the maximum width of the grid and flow rate per unit width of the river results in the number of flow zones in the lateral direction of the river. Consequently division of grids and numerical calculation of water quality with finite clement method can be carried out on the basis of available method and topographic map of the river course. Analysis of scnsitivity shows that the effect of the width of the river and the effect of the length of the grids on the minimum number of flow zones in the lateral direction is relatively small, and that the effect of the given lateral mixing degree of the pollutants on the minimum number of flow zones is acceptable, which indicates that the method presented is relatively stable. The method can avoid thc blindness and randomness in determining the number of flow zones, and can decrease the amount of computation under the condition that the accuracy requirement is mct. The problem that determining the sizes of the grids must rely on empirical knowledge has bcen solved.
MfSAT: Detect simple sequence repeats in viral genomes
Ming Chen,Zhongyang Tan,Guangming Zeng
Bioinformation , 2011,
Abstract: Simple sequence repeats (SSRs) are ubiquitous short tandem repeats, which are associated with various regulatory mechanisms and have been found in viral genomes. Herein, we develop MfSAT (Multi-functional SSRs Analytical Tool), a new powerful tool which can fast identify SSRs in multiple short viral genomes and then automatically calculate the numbers and proportions of various SSR types (mono-, di-, tri-, tetra-, penta- and hexanucleotide repeats). Furthermore, it also can detect codon repeats and report the corresponding amino acid.
MRST: A TOOL FOR THE STORAGE OF MICRORNA COMPUTATIONAL RESOURCES
MING CHEN,ZHONGYANG TAN,GUANGMING ZENG
International Journal of Bioinformatics Research , 2011,
Abstract: More and more computational resources for microRNAs (miRNAs) have been developed in recent years.That may lead to selective difficulty, mistakes of usage and confusion due to their confined scope of usage. Here, wesummarize and classify the knowledge that has been accumulated in the fields and present a novel tool, MRST(miRNA resource store tool), for the storage of miRNA resources.
On singular value distribution of large dimensional auto-covariance matrices
Zeng Li,Guangming Pan,Jianfeng Yao
Statistics , 2014,
Abstract: Let $(\varepsilon_j)_{j\geq 0}$ be a sequence of independent $p-$dimensional random vectors and $\tau\geq1$ a given integer. From a sample $\varepsilon_1,\cdots,\varepsilon_{T+\tau-1},\varepsilon_{T+\tau}$ of the sequence, the so-called lag $-\tau$ auto-covariance matrix is $C_{\tau}=T^{-1}\sum_{j=1}^T\varepsilon_{\tau+j}\varepsilon_{j}^t$. When the dimension $p$ is large compared to the sample size $T$, this paper establishes the limit of the singular value distribution of $C_\tau$ assuming that $p$ and $T$ grow to infinity proportionally and the sequence satisfies a Lindeberg condition on fourth order moments. Compared to existing asymptotic results on sample covariance matrices developed in random matrix theory, the case of an auto-covariance matrix is much more involved due to the fact that the summands are dependent and the matrix $C_\tau$ is not symmetric. Several new techniques are introduced for the derivation of the main theorem.
The Herd Behavior of Risk-Averse Investor Based on Information Cost  [PDF]
Guangming Deng
Journal of Financial Risk Management (JFRM) , 2013, DOI: 10.4236/jfrm.2013.24015
Abstract: In this paper, the traditional model of herd behavior was improved and extended. The herd behavior of risk-averse investor based on information cost was studied in the financial market. By refining the concept of Bayes equilibrium and the analysis of the behavior of investors, it was discovered that the herd behavior of the second risk-averse investor did not produce until the first risk-averse investors chose to buy information.
Helium and argon isotope trace in ore-forming fluid of Sawuer gold belt in Xinjiang, China
Ping Shen,Yuanchao Shen,Qingdong Zeng,Tiebing Liu,Guangming Li
Chinese Science Bulletin , 2004, DOI: 10.1360/03wd0620
Abstract: The helium and argon isotope compositions of fluid inclusions hosted in pyrite have been measured from Kuoerzhenkuola and Buerkesidai gold deposits in Sawuer gold belt, northern Xinjiang. The results show that fluid-inclusion 3He/4He ratios are 0.64 R a–4.25 R a and 1.16 R a–9.48 R a, 40Ar/36Ar ratios are 282–359 and 312–525 for Kuoerzhenkuola and Buerkesidai gold deposits respectively. The ore-forming fluids of two deposits possessed the same source and derived mainly from mantle beneath the island arc (including oceanic crust and oceanic sediments by subduction of oceanic plate). They were diluted by incorporating meteoric water to form a mixture of mantle- and partial meteoric water-derived fluid. The ore-forming fluids of two deposits are of the same evolutionary histories. From the early to the late mineralization stages, the ratios of meteoric water/mantle-derived fluid in ore-forming fluid increased gradually. Based on these results and detailed geological and geochemical studies on the two deposits, it is proposed that the geneses of the two gold deposits are the same, being volcanogenic late-stage hydrothermal gold deposits occurring in the same volcanic apparatus.
A mixed integer linear programming approach for municipal solid waste management
Gordon Guo—He Huang,Guo Huaicheng,Zeng Guangming
环境科学学报(英文版) , 1997,
Abstract: AmixedintegerlinearprogrammingapproachformunicipalsolidwastemanagementGordonGuoHeHuangEnvironmentalSystemsEngineering,Univer...
Non-Specific Person Continuous Speech Identification in Second Language using BPR
Guangming Xian,Biqing Zeng,Qiaoyun Yun,Xiongwen Pang
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i7.1550
Abstract: Second language speech recognition is an important technical means of man-machine communication system. In this paper, we propose a biomimetic pattern recognition (BPR) algorithm for non specific person continuous speech identification in second language. Feature parameters are extracted directly from single number sample being segmented according to Mel cepstral way. BPR-based connected number recognition experiments show that the proposed method with better identification performance in second language than NN neural network and SVM. From non specific person continuous speech recognition experiments, we show that the BPR algorithm greatly improves word recognition accuracy and has good recognition ability without causing poorer performance in second language.
On the Performance of Spectrum Sensing Algorithms using Multiple Antennas
Ying-Chang Liang,Guangming Pan,Yonghong Zeng
Mathematics , 2010,
Abstract: In recent years, some spectrum sensing algorithms using multiple antennas, such as the eigenvalue based detection (EBD), have attracted a lot of attention. In this paper, we are interested in deriving the asymptotic distributions of the test statistics of the EBD algorithms. Two EBD algorithms using sample covariance matrices are considered: maximum eigenvalue detection (MED) and condition number detection (CND). The earlier studies usually assume that the number of antennas (K) and the number of samples (N) are both large, thus random matrix theory (RMT) can be used to derive the asymptotic distributions of the maximum and minimum eigenvalues of the sample covariance matrices. While assuming the number of antennas being large simplifies the derivations, in practice, the number of antennas equipped at a single secondary user is usually small, say 2 or 3, and once designed, this antenna number is fixed. Thus in this paper, our objective is to derive the asymptotic distributions of the eigenvalues and condition numbers of the sample covariance matrices for any fixed K but large N, from which the probability of detection and probability of false alarm can be obtained. The proposed methodology can also be used to analyze the performance of other EBD algorithms. Finally, computer simulations are presented to validate the accuracy of the derived results.
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