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Search Results: 1 - 10 of 113838 matches for " Yao Zhang "
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Research on Evaluation Indicator System for Distribution Channel of Tourism Destination  [PDF]
Dan Yao, Mu Zhang
American Journal of Industrial and Business Management (AJIBM) , 2017, DOI: 10.4236/ajibm.2017.79074
Abstract: With competition of tourism destination becoming fiercer, improving distribution channel is an important way to improve competitiveness of tourism destination. The Paper, by using Delphi, AHP and Yaahp, constructs evaluation indicator system on distribution channel of tourism destination, and takes Shenzhen OCT tourist resort as case study to make comparative analysis on indicator importance and actual performance score of OCT tourist resort. The research finds that internal controllable factors of distribution channel play the most important role in its evaluation, of which economic performance and product factor are far from expectation of tourism enterprise managers, and the Paper will provide advice for improving distribution channel of tourism destination from three aspects, including economic performance of distribution channel, product factor and external uncontrollable factors.
Flow Injection Determination of Tramadol Based on Its Sensitizing Effect on the Chemiluminescent Reaction of Permanganate-Sulfite  [PDF]
Xun Yao, Jingkai Zhang, Jianguo Li
American Journal of Analytical Chemistry (AJAC) , 2011, DOI: 10.4236/ajac.2011.27088
Abstract: In this paper, a novel chemiluminescence (CL) method for the determination of tramadol has been developed by combining the flow injection technique and its sensitizing effect on the weak CL reaction between sulfite and acidic KMnO4. A mechanism for the CL reaction has been proposed on the basis of fluorescent and CL spectra. Under the optimized conditions, the proposed method allows the measurement of tramadol hydrochloride over the range of 0.04 - 4 ?g/mLwith a correlation coefficient of 0.9995 (n = 8) and a detection limit of 0.01 ?g/mL (3σ), and the relative standard deviation for 2.0 ?g/mL tramadol (n = 11) is 2.1%. The utility of this method was demonstrated by determining tramadol hydrochloride in tablets and injections.
Research on Low-Carbon City Construction and Development Strategy—A Case Study of Shenzhen  [PDF]
Dan Yao, Jing Luo, Mu Zhang
Low Carbon Economy (LCE) , 2013, DOI: 10.4236/lce.2013.42007
Abstract:

Low carbon economy is full of significance to realize sustainable development of a city. After making a review of global low carbon community construction by summarizing their features and routes, the authors set up a low-carbon economical evaluation system which consists of 3 layers, 3 systems and 14 indicators. What’s more, PCA (principal component analysis) and AHP (analytic hierarchy process) are adopted to evaluate the level of low-carbon economic development in Shenzhen. The facts prove that Shenzhens low-carbon economic development level has formed certain foundation with up tendency in various indicators. Finally, the authors propose suggestions and strategies for developing low-carbon economic development for city of Shenzhen.

Estimation of a Type of Form-Invariant Combined Signals under Autoregressive Operators  [PDF]
Yinsheng Zhang, Jing Yao, Dongyun Yi
Open Journal of Statistics (OJS) , 2013, DOI: 10.4236/ojs.2013.36045
Abstract:

We focus on a type of combined signals whose forms remain invariant under the autoregressive operators. To extract the true signal from the autoregressive noise, we develop a strategy to separate parameters and use a two-step least squares approach to estimate the autoregressive parameters directly and then further give the estimate of the signal parameters. This method overcomes the difficulty that the autoregressive noise remains unknown in other methods. It can effectively separate the noise and extract the true signal. The algorithm is linear. The solution of the problem is computationally cheap and practical with high accuracy.

Prediction and Diversion Mechanisms for Crowd Management Based on Risk Rating  [PDF]
Meihua Zhang, Yuan Yao, Kefan Xie
Engineering (ENG) , 2017, DOI: 10.4236/eng.2017.95021
Abstract: Studies of past accidents have revealed that various elements such as failure to identify hazards, crowd behaviors out of controlling, deficiency of the egress signage system, inconsistency between process behavior and process plan, and environmental constraints, etc. affected crowd evacuation. Above all, the human factor is the key issue in safety and disaster management, although it is bound to other factors inextricably. This paper explores crowd behaviors that may influence an urgent situation, and discusses the technique applied to the crowd prediction. Based on risk rating relative to crowd density, risk plans for different levels are proposed to dispose the potential threats. Also practical crowd management measures at different risk levels are illustrated in a case of a metro station in China. Finally, the strategies for crowd security management are advised that all stakeholders are amenable to form risk consciousness and implement safety procedures consistent with risk plans professionally and scientifically.
A Semi-Implicit Scheme of Lattice Boltzmann Method for Two Dimensional Cavity Flow Simulation  [PDF]
Lei Zhang, Jun Yao, Hai Sun, Jianguang Zhang
Open Journal of Fluid Dynamics (OJFD) , 2015, DOI: 10.4236/ojfd.2015.51002
Abstract: The calculation sequence of collision, propagation and macroscopic variables is not very clear in lattice Boltzmann method (LBM) code implementation. According to the definition, three steps should be computed on all nodes respectively, which mean three loops are needed. While the “pull” scheme makes the only one loop possible for coding, this is called semi-implicit scheme in this study. The accuracy and efficiency of semi-implicit scheme are discussed in detail through the simulation of lid-driven cavity flow. Non-equilibrium extrapolation scheme is adopted on the boundary of simulation area. The results are compared with two classic articles, which show that semi-implicit scheme has good agreement with the classic scheme. When Re is less than 3000, the iterations steps of semi-scheme can be decreased by about 30% though comparing the semi-implicit scheme with standard scheme containing three loops. As the Re increases into more than 3400, the standard scheme is not converged. On the contrary, the iterations of semi-implicit scheme are approximately linear to Re.
A Tunable Resolution MUSIC Algorithm for Interharmonics Analysis  [PDF]
Ming Zhang, Xiang Zhang, Heng Yao, Shunfan He
Journal of Power and Energy Engineering (JPEE) , 2017, DOI: 10.4236/jpee.2017.59001
Abstract: The harmonic and interharmonic analysis recommendations are contained in the latest IEC standards on power quality. Measurement and analysis experiences have shown that great difficulties arise in the interharmonic detection and measurement with acceptable levels of accuracy. In order to improve the resolution of spectrum analysis, the traditional method (e.g. discrete Fourier transform) is to take more sampling cycles, e.g. 10 sampling cycles corresponding to the spectrum interval of 5 Hz while the fundamental frequency is 50 Hz. However, this method is not suitable to the interharmonic measurement, because the frequencies of interharmonic components are non-integer multiples of the fundamental frequency, which makes the measurement additionally difficult. In this paper, the tunable resolution multiple signal classification (TRMUSIC) algorithm is presented, which the spectrum can be tuned to exhibit high resolution in targeted regions. Some simulation examples show that the resolution for two adjacent frequency components is usually sufficient to measure interharmonics in power systems with acceptable computation time. The proposed method is also suited to analyze interharmonics when there exists an undesirable asynchronous deviation and additive white noise.
Changes in the Brain’s Intrinsic Organization in the Resting State with Real-Time fMRI Neurofeedback Training of Posterior Cingulate Cortex Activity  [PDF]
Yubao Wang, Jipeng Zhang, Gaoyan Zhang, Li Yao, Zhiying Long
Journal of Behavioral and Brain Science (JBBS) , 2017, DOI: 10.4236/jbbs.2017.713044
Abstract: Real-time functional magnetic resonance imaging (rtfMRI) technology has been widely used to train subjects to actively regulate the activity of specific brain regions. Although many previous studies have demonstrated that neurofeedback training alters the functional connectivity between brain regions in the task state and resting state, it is unclear how the regulation of the key hub of the default mode network (DMN) affects the topological properties of the resting-state brain network. The current study aimed to investigate what topological changes would occur in the large-scale intrinsic organization of the resting state after the real-time down-regulation of the posterior cingulate cortex (PCC). The results indicated that the down-regulation of the PCC in the DMN reduced the functional connectivity of the PCC with the nodes outside of the DMN and reduced functional connectivity between the superior medial frontal gyrus (SFGmed) and parahippocampal gyrus (PHG) in the experimental group. Moreover, the nodal graph properties of the SFGmed were reduced, while that of the PHG showed the opposite alteration after the down-regulation of the PCC. These findings possibly suggest that the regulation of the key hub of the DMN, the PCC, mainly changed the information transfer of the SFGmed and PHG.
Induced Total Labellings of Models as Scale-free Networks  [PDF]
Bing Yao, Jiajuan Zhang, Xiangqian Zhou, Xiang’en Chen, Xiaomin Zhang, Ming Yao, Mogang Li
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.53B2013
Abstract: A recently discovered approach including de Brujin graphs and Eulerian circuits are used to DNA sequencing and fragment assembly, and to simplify DNA graphs through a series of transformations on graphs and digraphs in the field of bioinformatics. Since numbered graphs provide underlying mathematical models in studying the wide variety of seemingly unrelated practical applications, so graph colorings often are used to divide large systems into subsystems. A new graph labeling has been introduced and investigated.
Spatial discretization error in an artificial benchmark model of oblique laser incidence by finite volume approximation for radiative heat transfer
HaoChun Zhang,Yao Li
Chinese Science Bulletin , 2012, DOI: 10.1007/s11434-012-5060-z
Abstract: The spatial discretization error in a finite volume method approximation for radiative heat transfer is investigated. An artificial benchmark model for oblique laser incidence on a two-dimensional rectangle containing a semi-transparent medium is proposed, in addition to using reference data from the Monte Carlo method. Within the framework of the current model, it is shown that numerical scattering in the finite volume method is affected by the spatial grid values and the different spatial discretization schemes to a large degree. Numerical scattering also varies with the degree of absorption coefficient deviation. Numerical scattering is distributed in a symmetrical profile along the laser incidence direction, and all of the schemes show symmetrical cross-scattering.
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