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Search Results: 1 - 10 of 42688 matches for " Yanbo Xu "
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Computer Simulation on Agglomerating Location of Home-country FDI
Yanbo Zhang,Yajun Guo,Xu Bian,Ye Liu
Journal of Computers , 2012, DOI: 10.4304/jcp.7.6.1474-1481
Abstract: FDI enterprises from the same source country agglomerated in a region in China, i.e., a geographical agglomeration, was a main trend in recent years. An oligopoly output competition model was therefore developed between FDI enterprises and host country enterprises, with a conjectural variable introduced to weigh up the cooperation level between relevant enterprises, thus simulating and analyzing the location choice behavior of the agglomeration of home-country FDI. It was found that foreign enterprises will locate in the medium or small city which has a certain agglomeration effect when foreign investment enterprises can constitute the strategic alliance to cooperate their yield incompletely. The less degree enterprises cooperate their yield is, the bigger agglomeration effect that the location of foreign capital enterprises requests.
Vital Nodes Evolution Study on Railway Network of Silk Road Economic Belt  [PDF]
Yanbo Zhu, Hening Fan
Journal of Data Analysis and Information Processing (JDAIP) , 2016, DOI: 10.4236/jdaip.2016.43010
Abstract: In order to study the nodes importance and its evolution process of the railway network of SREB (Silk Road Economic Belt), we construct the network (RNSREB) based on Graph Theory, which focuses on the time intervals according to actually railway network, railway project under construction and the national railway network of medium-and long-term plan. The algorithms for vital nodes evaluation are analyzed, the evaluation method on nodes importance of RNSREB is proposed, the quantized values of each node are calculated with Pajek, and TOP20 core nodes of the network with different coefficients and time intervals are determined respectively. Then the evolution process of TOP20 critical nodes with 4 periods is contrasted and analyzed. It is indicated that some vital nodes newly discovered (Geermu, Maduo, Ruoqiang) should be concerned.
Analysis of Incidence and Related Factors of Hemorrhagic Fever with Renal Syndrome in Hebei Province, China
Qi Li, WenNa Zhao, YaMei Wei, Xu Han, ZhanYing Han, YanBo Zhang, ShunXiang Qi, YongGang Xu
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0101348
Abstract: Background Hemorrhagic fever with renal syndrome (HFRS) is an important infectious disease in Hebei province, China. The average annual incidence is 3.10/100000. Although the incidence of HFRS is stable with a general decline in trend since 2004, an increase in the trend was observed in 2011. Few studies have been conducted to investigate the underlying risk factors for this disease. Methods The epidemiological data of HFRS and the population data, meteorology, and remote sensing aspects of cities in Hebei province from 1999 to 2011 were collected. The epidemiological data included the population density in the region, seasonal data and rat density and rat's virus carriage rate. The data were analyzed by descriptive study, correlation analysis and multivariate linear analysis. Results There were 26837 cases of HFRS was reported from 1999 to 2011. The infection occurred mainly in males, aged 20~49 years, who were farmers. Rattus norvegicus was the main host animal. The incidence of HFRS was related to NDVI value, rat density and rat's virus carriage rate by multiple linear regression (F = 25.936, P<0.01). The pseudo- R2value for the model was 0.644. Conclusion The incidence of HFRS was related to NDVI value, rat density and rat's virus carriage rate. Control of these factors should be used to prevent HFRS in Hebei province.
Mobile Open-Source Plant-Canopy Monitoring System  [PDF]
Daniel K. Fisher, Yanbo Huang
Modern Instrumentation (MI) , 2017, DOI: 10.4236/mi.2017.61001
Abstract: Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities. Mobile farm vehicles, such as tractors and sprayers, have the potential to operate as mobile sensing platforms, enabling the collection of large amounts of data while working. Open-source hardware and software components were integrated to develop a mobile plant-canopy sensing and monitoring system. The microcontroller-based system, which incorporated a Bluetooth radio, GPS receiver, infrared temperature and ultrasonic distance sensors, micro SD card storage, and voltage regulation components, was developed at a cost of US$292. The system was installed on an agricultural vehicle and tested in a soybean field. The monitoring system demonstrates an application of open-source hardware to agricultural research and provides a framework for similar or additional sensing applications.
Advances in Artificial Neural Networks – Methodological Development and Application
Yanbo Huang
Algorithms , 2009, DOI: 10.3390/algor2030973
Abstract: Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other neural network training algorithms for other networks such as radial basis function, recurrent network, feedback network, and unsupervised Kohonen self-organizing network. These networks, especially the multilayer perceptron network with a backpropagation training algorithm, have gained recognition in research and applications in various scientific and engineering areas. In order to accelerate the training process and overcome data over-fitting, research has been conducted to improve the backpropagation algorithm. Further, artificial neural networks have been integrated with other advanced methods such as fuzzy logic and wavelet analysis, to enhance the ability of data interpretation and modeling and to avoid subjectivity in the operation of the training algorithm. In recent years, support vector machines have emerged as a set of high-performance supervised generalized linear classifiers in parallel with artificial neural networks. A review on development history of artificial neural networks is presented and the standard architectures and algorithms of artificial neural networks are described. Furthermore, advanced artificial neural networks will be introduced with support vector machines, and limitations of ANNs will be identified. The future of artificial neural network development in tandem with support vector machines will be discussed in conjunction with further applications to food science and engineering, soil and water relationship for crop management, and decision support for precision agriculture. Along with the network structures and training algorithms, the applications of artificial neural networks will be reviewed as well, especially in the fields of agricultural and biological engineering.
NO2-drived NO3– metabolism in leaves
Yanbo Hu
Insciences Journal , 2011,
Abstract: Atmospheric nitrogen dioxide (NO2) can be dry/wet deposited into plant leaves mainly through stomata, with a small fraction of cuticle deposition. Plants in nature present a wide variation in NO2 assimilation and the resistance. The ability of leaf NO2 uptake and efficient remobilization of NO2-derived NO3–/NO2– is important for normal plant growth and to withstand nitrogen deprivation. Moreover, leaf- and root-derived NO3– metabolisms have both links and differences. This review emphasizes on the fates of NO2-drived NO3–, including i) the assimilation into amino acids, ii) accumulation in vacuoles, and iii) reemission by NOx (NO and/or NO2), and discuss metabolic differences of NO2-drived and root-derived NO3–. Special attention is drawn to NOx evolution in apoplast and symplast of leaves and its control to stomatal dynamics. Moreover, further progress is proposed to get a better understanding of the dynamic uptake of NO2 and NO3– transporters in leaves.
Radicals of symmetric cellular algebras
Yanbo Li
Mathematics , 2009,
Abstract: Let A be a finite dimensional symmetric cllular algebras. We construct a nilpotent ideal in A. The ideal connects the radicals of cell modules with the radical of the algebra. It also reveals some information on the dimensions of simple modules of A.
Jucys-Murphy elements and centers of cellular algebras
Yanbo Li
Mathematics , 2009,
Abstract: Let R be an integral domain and A a cellular algebra. Suppose that A is equipped with a family of Jucys-Murphy elements which satisfy the separation condition. Let K be the field of fractions of R. We give a necessary and sufficient condition under which the center of $A_{K}$ consists of the symmetric polynomials in Jucys-Murphy elements.
Centers of symmetric cellular algebras
Yanbo Li
Mathematics , 2009,
Abstract: Let $R$ be an integral domain and $A$ a symmetric cellular algebra over $R$ with a cellular basis $\{C_{S,T}^\lam \mid \lam\in\Lambda, S,T\in M(\lam)\}$. We will construct an ideal $L(A)$ of the center of $A$ and prove that $L(A)$ contains the so-called Higman ideal. When $R$ is a field, we prove that the dimension of $L(A)$ is not less than the number of non-isomorphic simple $A$-modules.
Nakayama twisted centers and dual bases of Frobenius cellular algebras
Yanbo Li
Mathematics , 2013,
Abstract: For a Frobenius cellular algebra, we prove that if the left (right) dual basis of a cellular basis is again cellular, then the algebra is symmetric. Moreover, some ideals of the center are constructed by using the so-called Nakayama twisted center.
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