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Search Results: 1 - 10 of 32581 matches for " Decai Huang "
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Kernel Selection of SVM for Commerce Image Classification
Lou Xiongwei,Huang Decai
Research Journal of Applied Sciences, Engineering and Technology , 2013,
Abstract: Content-based image classification refers to associating a given image to a predefined class merely according to the visual information contained in the image. In this study, we employ SVM (Support Vector Machine) and presented a few kernels speci cally designed to deal with the problem of content-based image classi cation. Several common kernel functions are compared for commerce image classification with the PHOW (Pyramid Histogram of visual Words) descriptors. The experiment results illustrate that chi-square kernel and histogram intersection kernel are more effective with the histogram based image descriptor for commerce image classification.
Research on Tasks Scheduling Algorithms for Dynamic and Uncertain Computing Grid Based on a+bi Connection Number of SPA
Decai Huang,Yuan Yuan,Li-jun Zhang,Ke-qin Zhao
Journal of Software , 2009, DOI: 10.4304/jsw.4.10.1102-1109
Abstract: Task scheduling algorithms are key techniques in task management system of computing grid. Because of the uncertainty nature of a grid, traditional task scheduling algorithms do not work well in an open, heterogeneous and dynamic grid environment of real world. In this paper, Set Pair Analysis (SPA), a new soft computation method is used to process the synthetic uncertainty in the task scheduling of a computing grid. After introducing SPA and its application, the paper goes on to introduce the definition of connection number to express the uncertain Expected Time to Compute of tasks, analysis operation properties and linear order relation suitable for computing grid scheduling. Three online uncertain dynamic scheduling algorithms, OUD_OLB, OUD_MET, OUD_MCT, and three batch uncertain dynamic scheduling algorithms BUD_Min-min, BUD_Min-max, BUD_Surferage, are presented for the uncertain dynamic computing grid. Theoretical analysis and experimental results illustrate that these algorithms are capable of representing the dynamics and uncertainty in a computing grid environment. These algorithms are the generalization of traditional grid scheduling algorithms, and they possess high value in theory and application in a grid environment. Certainly it will be a new method to design tasks scheduling algorithm in uncertain computing grid environment.
Ring-like spin segregation of binary mixtures in a high-velocity rotating drum
Decai Huang,Ming Lu,Gang Sun,Yaodong Feng,Min Sun,Haiping Wu,Kaiming Deng
Physics , 2012,
Abstract: We present molecular dynamics simulations on the segregation of binary mixtures in a high-velocity rotating drum. Depending on the ratio of particle's radius and density, the ring-like spin segregation patterns in radial direction show similarities to the Brazil-nut effect and its reverse form. The smaller and heavier particles are easier to accumulate towards the drum wall and the bigger and lighter ones towards the drum center. Furthermore, we quantify the effects of particle's radius and density on the segregation states and plot the phase diagram of segregation in the ${\rho_b}/{\rho_s}$ - ${r_b}/{r_s}$ space. The observed phenomena can also be well explained by the combined actions, i.e., the percolation effect and the buoyancy effect.
Theoretical and experimental study on magnetic-fluid-based flow sensors
RuiCan Hao,DeCai Li
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-010-4260-7
Abstract: The dependence of flow volume on the pressure difference between the ports of a U-tube was determined for both laminar and turbulent flows of a magnetic fluid. The results showed that the dependence was linear in the case of laminar flow but was non-linear in the case of turbulent flow. In addition, the inductance and the voltage difference across two coils around the arms of the U-tube were calculated. The voltage difference was proportional to the flow volume and inversely proportional to the square of the coil length. These theoretical and experimental results demonstrate that the design of magnetic-fluid-based flow sensors is feasible.
Some Shannon-McMillan Approximation Theorems for Markov Chain Field on the Generalized Bethe Tree
Kangkang Wang,Decai Zong
Journal of Inequalities and Applications , 2011, DOI: 10.1155/2011/470910
Abstract:
Some Shannon-McMillan Approximation Theorems for Markov Chain Field on the Generalized Bethe Tree
Wang Kangkang,Zong Decai
Journal of Inequalities and Applications , 2011,
Abstract: A class of small-deviation theorems for the relative entropy densities of arbitrary random field on the generalized Bethe tree are discussed by comparing the arbitrary measure with the Markov measure on the generalized Bethe tree. As corollaries, some Shannon-Mcmillan theorems for the arbitrary random field on the generalized Bethe tree, Markov chain field on the generalized Bethe tree are obtained.
Impact of Climate Comfort on Tourism in Putian City and Countermeasures  [PDF]
Zheng Xiao, Huqing He, Gang Li, Decai Tang
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.69012
Abstract: Putian is an emerging tourist city in Fujian Province. It not only has Weizhou Island, the birthplace of the world’s Mazu culture, but also the national 4A scenic spot, like Jiuyi Lake, Jiulong Valley, South Shaolin, etc., attracting thousands of tourists every year. This paper uses meteorological data of the Putian Municipal Meteorological Bureau from 1988 to 2017, negative oxygen ion data in the scenic spots of Weizhou Island, Jiuyi Lake and Jiulong Valley from 2014 to 2017 and monthly data of tourists from 2011 to 2017 provided by Putian City Tourism Bureau. Based on the Temperature and Humidity Index, the Wind Cold Index, the Index of Cloth Loading and the Air Comfort Index, this paper uses the analytic hierarchy process (AHP) to construct a new comprehensive climate comfort model. Using the new model, the climate comfort index of Putian is calculated, and the levels and time periods suitable for tourism are divided. The number of tourists in Putian City is increasing year by year and has obvious time distribution characteristics. There are two peak periods in which tourists are concentrated in each year, which are April to May and October to November, belonging to the spring-autumn type. This paper also uses Ordinary Least Square (OLS) regression method to analyze the climate comfort and tourist traffic. The results show that there is a clear correlation between the comfort index and the passenger flow. Accordingly, suggestions for improvement of tourism development in Putian are proposed.
Bis(5-chlorosalicylato-κO)bis(1,10-phenanthroline-κ2N,N′)cadmium(II)
Decai Wen,Jing Xie,Xiurong Jiang
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808015687
Abstract: In the title complex, [Cd(C7H4ClO3)2(C12H8N2)2], the Cd atom is coordinated by two 5-chlorosalicylate ligands and two 1,10-phenanthroline ligands, displaying a distorted octahedral coordination geometry. The crystal structure is stabilized by O—H...O and C—H...O hydrogen bonds and π–π interactions between the 1,10-phenanthroline ligands and 5-chlorosalicylate ligands, with a centroid–centroid distance between neighbouring aromatic rings of 3.730 (1) .
MODULATORY EFFECT OF SUBTHALAMIC NUCLEUS ON THE DEVELOPMENT OF FATIGUE DURING EXHAUSTING EXERCISE: AN IN VIVO ELECTROPHYSIOLOGICAL AND MICRODIALYSIS STUDY IN RATS
Dalei Wang,Xiaoli Liu,Decai Qiao
Journal of Sports Science and Medicine , 2012,
Abstract: The purpose of the study was to investigate the modulatory effect of changes of subthalamic nucleus (STN) activity on the development of central fatigue during exhausting exercise, and reveal the possible mechanism that might affect STN activity from the perspective of neurotransmitters. Rats were randomly divided into electrophysiology and microdialysis study groups. For electrophysiological study, electrical activity in sensorimotor cortex and STN were simultaneously recorded before, during and 90min after the exhausting exercise. For microdialysis study, extracellular fluid of STN was continuously collected with a microdialysis probe and glutamate (Glu), gamma-aminobutyric acid (GABA) levels were subsequently detected with high performance liquid chromatography (HPLC). The behavioral studies showed that rats ran well initiatively with the treadmill exercise in the beginning, 45 ± 11.5min later, movement capacity reduced obviously (which was termed as 'early fatigue'). Correspondingly, STN activity increased significantly compared with rest condition (p < 0.05), while, cortex activity decreased significantly (p < 0.05). Subsequently, rats continued their exercise with minor external stimulation till exhaustion. Cortex activity reached the minimum value under exhaustion condition, while STN activity changed insignificantly (p > 0.05). For microdialysis study, the dynamic change of Glu/GABA ratio was consistent with the change of STN activity during the development of 'early fatigue' rather than the development of exhaustion. In conclusion, the present study shows that, the development of the cortex fatigue during exhausting exercise consists of two phases, 'early fatigue' and exhaustion. Our results suggest that, dynamic changes of STN activity are closely relevant to the development of 'early fatigue' rather than exhaustion, and the changes of STN activity during the development of 'early fatigue' might be partly related to the variance of Glu and GABA levels in STN extracellular fluid
The Structure of Modified Fe-Ni Bioxide Composite Nanoparticles Using Fe(NO3)3  [PDF]
Yueqiang Lin, Jian Li, Lihua Lin, Xiaodong Liu, Longlong Chen, Decai Li
Advances in Nanoparticles (ANP) , 2013, DOI: 10.4236/anp.2013.24040
Abstract:

Composite nanoparticles containing a γ-Fe2O3 core, Ni2O3 external shell and FeCl3·6H2O outermost layer can be synthesized by chemically induced transition in FeCl2 solution. These may be modified by treatment with Fe(NO3)3 to obtain particles for the preparation of ionic ferrofluids. Vibrating sample magnetometer (VSM) measurements and transmission electron microscopy (TEM) observations show that after Fe(NO3)3 treatment, the specific magnetization becomes weaker and the size becomes larger for treated particles compared with the untreated particles. Using energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), the structure of the particles before and after the treatment is revealed. The experimental results show that the γ-Fe2O3

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