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Search Results: 1 - 10 of 145534 matches for " WANG Zheng-xia "
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Improved Ant Colony Algorithm with Planning of Dynamic Path

ZHOU Ming-xiu,CHENG Ke,WANG Zheng-xia,

计算机科学 , 2013,
Abstract: In view of the shortcomings of slow rate of convergence and easy to fall into local optimal solution for the tra- ditional ant algorithm, this paper put forward to improve distance heuristic factor to encrease effects on the next node, so as to enhance the global search ability, avoid trap in local optimal solution and improve the rate of convergence. Con- sidering the complexity and diversity of the real environment, this paper introduced multiple path quality constraints to improve the rules of the pheromone update. I}he simulation results show the improved ant colony algorithm has a good effect in the dynamic path planning.
Root growth into litter layer and its impact on litter decomposition:a review

MA Cheng-En,KONG De-Liang,CHEN Zheng-Xia,GUO Jun-Fei,

植物生态学报 , 2012,
Abstract: Litter decomposition is one of the most important and dynamic components of nutrient cycling in ecosystems. In addition to the well-known actions of plant roots on litter, roots also constitute an important biotic factor regulating litter decomposition. However, relatively little attention has been given to this. Relative to the upper litter layer, the middle and lower layers are enriched in water and nutrients, which provide favorable conditions for root growth. By proliferating in litter, roots potentially influence litter decomposition through a priming effect, mycorrhizal fungi and N uptake. We give an overview of root foraging in litter, including factors influencing it. We then review its influence and possible mechanisms of root growth on litter decomposition. We also propose a conceptual module that enhances understanding of the relationship between root and litter decomposition.
Clutch Frequency Affects the Offspring Size-Number Trade-Off in Lizards
Zheng Wang,Yuan Xia,Xiang Ji
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0016585
Abstract: Studies of lizards have shown that offspring size cannot be altered by manipulating clutch size in species with a high clutch frequency. This raises a question of whether clutch frequency has a key role in influencing the offspring size-number trade-off in lizards.
Evolution of the East Asian monsoon and its response to uplift of the Tibetan Plateau since 1.8 Ma recorded by major elements in sediments of the South China Sea
XianWei Meng,Peng Xia,Jun Zheng,XiangQin Wang
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-010-4258-1
Abstract: Evolution of the East Asian monsoon and its response to uplift of the Tibetan Plateau has been investigated in the study of global change. Core sediment samples drilled in the South China Sea during ODP Leg184 are the best materials for studying long-term variability of the East Asian monsoon. R-mode factor analysis of major elements in the fine grain-sized carbonate-free sediments (<4 μm) of the upper 185 mcd splice of ODP Site 1146 drilled during Leg184 in the South China Sea shows that Ti, TFe2O3, MgO, K2O, P, CaO, and Al2O3 are representative of a terrestrial factor. The variation in the terrestrial factor score is subject to chemical erosion in the source region and thus indicates the evolution of the East Asian summer monsoon. The terrestrial factor score has three stepwise decreases at ~1.3 Ma, ~0.9 Ma, and ~0.6 Ma, indicating the phased weakening of the East Asian summer monsoon is related to wholly stepwise, quick uplifts of the Tibetan Plateau since 1.8 Ma. The periodic fluctuation of the terrestrial factor score since ~0.6 Ma indicates that the glacial-interglacial cycles have been the main force driving the evolution of the East Asian monsoon. As in the case of Chinese loess, the long-term evolution of the East Asian monsoon recorded in sediments of the South China Sea reflects a coupled effect of the glacial-interglacial cycle and uplift of the Tibetan Plateau.
Jin Hong Xia,Zheng Liu,Yuan Wang,Xiao Zhen Feng
Acta Crystallographica Section E , 2008, DOI: 10.1107/s160053680800932x
Abstract: In the title compound, [Cu(C13H13Cl2NO3)(C3H7NO)], the CuII atom is coordinated in a slightly distorted square-planar geometry by two O atoms and one N atom from the tridentate chiral ligand 2-[(3,5-dichloro-2-oxidobenzylidene)amino]-3-methylpentanoate and by one O atom from dimethylformamide. In the crystal structure, the Cu atom forms contacts with Cl and O atoms of two units (Cu...Cl and Cu...O = 3.401 and 2.947 , respectively), thereby forming an approximately octahedral arrangement. A three-dimensional network is constructed through Cl...Cu, O...Cu, Cl...Cl contacts and C—H...O hydrogen bonds.
Computer-assisted lip diagnosis on traditional Chinese medicine using multi-class support vector machines
Li FuFeng,Zhao Changbo,Xia Zheng,Wang Yiqin
BMC Complementary and Alternative Medicine , 2012, DOI: 10.1186/1472-6882-12-127
Abstract: Background In Traditional Chinese Medicine (TCM), the lip diagnosis is an important diagnostic method which has a long history and is applied widely. The lip color of a person is considered as a symptom to reflect the physical conditions of organs in the body. However, the traditional diagnostic approach is mainly based on observation by doctor’s nude eyes, which is non-quantitative and subjective. The non-quantitative approach largely depends on the doctor’s experience and influences accurate the diagnosis and treatment in TCM. Developing new quantification methods to identify the exact syndrome based on the lip diagnosis of TCM becomes urgent and important. In this paper, we design a computer-assisted classification model to provide an automatic and quantitative approach for the diagnosis of TCM based on the lip images. Methods A computer-assisted classification method is designed and applied for syndrome diagnosis based on the lip images. Our purpose is to classify the lip images into four groups: deep-red, red, purple and pale. The proposed scheme consists of four steps including the lip image preprocessing, image feature extraction, feature selection and classification. The extracted 84 features contain the lip color space component, texture and moment features. Feature subset selection is performed by using SVM-RFE (Support Vector Machine with recursive feature elimination), mRMR (minimum Redundancy Maximum Relevance) and IG (information gain). Classification model is constructed based on the collected lip image features using multi-class SVM and Weighted multi-class SVM (WSVM). In addition, we compare SVM with k-nearest neighbor (kNN) algorithm, Multiple Asymmetric Partial Least Squares Classifier (MAPLSC) and Na ve Bayes for the diagnosis performance comparison. All displayed faces image have obtained consent from the participants. Results A total of 257 lip images are collected for the modeling of lip diagnosis in TCM. The feature selection method SVM-RFE selects 9 important features which are composed of 5 color component features, 3 texture features and 1 moment feature. SVM, MAPLSC, Na ve Bayes, kNN showed better classification results based on the 9 selected features than the results obtained from all the 84 features. The total classification accuracy of the five methods is 84%, 81%, 79% and 81%, 77%, respectively. So SVM achieves the best classification accuracy. The classification accuracy of SVM is 81%, 71%, 89% and 86% on Deep-red, Pale Purple, Red and lip image models, respectively. While with the feature selection algorithm mRMR and IG
Loss of stability of a solitary wave through exciting a cnoidal wave on a Fermi-Pasta-Ulam ring
Zongqiang Yuan,Jun Wang,Min Chu,Guodong Xia,Zhigang Zheng
Physics , 2013, DOI: 10.1103/PhysRevE.88.042901
Abstract: The spatiotemporal propagation behavior of a solitary wave is investigated on a Fermi-Pasta-Ulam ring. We observe the emergence of a cnoidal wave excited by the solitary wave. The cnoidal wave may coexist with the solitary wave for a long time associated with the periodic exchange of energy between these two nonlinear waves. The module of the cnoidal wave, which is considered as an indicator of the nonlinearity, is found to oscillate with the same period of the energy exchange. After the stage of coexistence, the interaction between these two nonlinear waves leads to the destruction of the cnoidal wave by the radiation of phonons. Finally, the interaction of the solitary wave with phonons leads to the loss of stability of the solitary wave.
Effect of Laser Acupuncture on Disuse Osteoarthritis: An Ultrasound Biomicroscopic Study of Patellar Articular Cartilage in Rats
Qing Wang,Xia Guo,Mu-Qing Liu,Xiao-Yun Wang,Yong-Ping Zheng
Evidence-Based Complementary and Alternative Medicine , 2012, DOI: 10.1155/2012/838420
Abstract: To investigate the effect of laser acupuncture (LA) on disuse changes in articular cartilage using ultrasound biomicroscopy (UBM), Eighteen rats were randomly divided into the control group (C), the tail-suspended group (T), and the tail-suspended with LA treatment group (L). During 28-day suspension period, group L were treated with LA at acupoints on the left hindlimb while group T had a sham treatment. Ultrasound roughness index (URI), integrated reflection coefficient (IRC), integrated backscatter coefficient (IBC), cartilage thickness, and ultrasonographic score (US) of articular cartilage at patella were measured by using an ultrasound biomicroscopy system (UBS). Compared with the group C, URI significantly (<0.01) increased by 60.9% in group T, increased by 38.1% in group L. In addition, unloading induced a significant cartilage thinning (<0.05) in group T, whereas cartilage thickness in group L was 140.22±19.61 μm reaching the level of the control group (147.00±23.99 μm). There was no significant difference in IRC, IBC, and US among the three groups. LA therapy could help to retain the quality of articular cartilage which was subjected to unloading. LA would be a simple and safe nonpharmacological countermeasure for unloading-induced osteoarthritis. The UBM system has potential to be a sensitive, specific tool for quantitative assessment of articular cartilage.
Extending Instrumental Variable Method for Effective Economic Modelling  [PDF]
Shi Zheng, Xia Jin, Wen Zheng
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2012, DOI: 10.4236/ijcns.2012.54027
Abstract: Economic modeling that yields practical value must cater for effects caused by exogenous variables. AutoRegressive eXogenous approach (ARX) has been widely used in regional economic studies. Instrumental Variable Method is regarded as a preferential method to parametric estimation in ARX modeling. However, traditional instrumental variable methods can only handle single variable which has limited its capability. This paper presents an extended instrumental variable method (EIVM) which is based on multiple variables. This provides the capability of taking into account of exogenous variables and reflects better the economic activities. A case study is conducted, which illustrates the application of the EIVM in modeling Northeastern economy in China.
Demanding Model of Automobile Loan Using Stochastic Theory  [PDF]
Zheng Wang
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.13025
Abstract: We propose a double forecasting model using stochastic theory .The demand of automobile loan is the sum of all compound variables which indicated that automobile loan was credited to customer occurring in a certain period of time. Probability distribution of automobile loan was acquired using throughout probability theory. In view of such a fact, demand of automobile loan can be viewed as a conditional mathematic expectation. The forecasting model is proposed using growing function. Theoretical analysis and Case study shows that model based on conditional expectation is better than other model available with respect to forecasting demand of automobile loan.
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