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Search Results: 1 - 10 of 5195 matches for " Wenzhi Liao "
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Discriminative Supervised Neighborhood Preserving Embedding Feature Extraction for Hyperspectral-image Classification
Renbo Luo,Wenzhi Liao,Youguo Pi
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i5.1346
Abstract: A novel discriminative supervised neighborhood preserving embedding (DSNPE) method is proposed for feature extraction in classifying hyperspectral remote sensing imagery. DSNPE can preserve the local manifold structure and the neighborhood structure. What’s more, for each data point, DSNPE aims at pulling the neighboring points with the same class label towards it as near as possible, while simultaneously pushing the neighboring points with different labels apart from it as far as possible. Experimental results on two real hyperspectral image datasets are reported to illustrate the performance of DSNPE and to compare it with a few competing methods.
Animal bone growth experiment of rapid-growing rats in different stress environment and its mathematical model  [PDF]
Jun Zhang, Wenzhi Zhao
Journal of Biosciences and Medicines (JBM) , 2013, DOI: 10.4236/jbm.2013.12005
Abstract:

The aim of this study is to explore a way that quantify the qualitative equation of bone growth and remodeling which was based on the animal Experiment of rapid-growing Rats in Different Stress Environment. These results were proved to be of good stability and identification precision with the numerical method of inversion. It suggested that the growing coefficient and the threshold in function were variables changing with time and space. The idea and method used in the research of bone growth and remodeling adaptation in this paper also provided clue and reference to establish other models for living system.

Simulation of phase transition process using lattice Boltzmann method
JianBang Zeng,LongJian Li,Quan Liao,WenZhi Cui,QingHua Chen,LiangMing Pan
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0734-x
Abstract: A new lattice Boltzmann model based on SC model, is proposed to describe the liquid-vapor phase transitions. The new model is validated through the simulation of the one-component phase transition process. Compared with the simulation results of van der Waals gas and the Maxwell equal-area construction, the results of the new model have a better agreement with the analytical solutions than those of SC and Zhang models. Since the obtained temperature range and the maximum density ratio in this model are expanded, and the magnitude of maximum spurious current is only between those of SC and Zhang models, it is believed that this new model has better stability than SC and Zhang models. Consequently, the application scope of this new model is expanded compared with the existing phase transition models. According to the principle of the corresponding states in engineering thermodynamics, the simulations of ammonia and water phase transition process were implemented using this new model with different equations of state. Compared with the experimental data of ammonia and water, the results show that the Peng-Robinson is the best equation of state to describe the phase transition process of ammonia and water. Especially, the simulation results of ammonia with Peng-Robinson equation of state have an excellent agreement with its experimental data. Therefore these simulation results have a significant influence on the real engineering applications.
Construction of Complex Intervention in Traditional Chinese Medicine (TCM): A Preliminary Methodological Study Based on Text Mining and Interviewing Method  [PDF]
Lian Gong, Wenzhi Hao, Feifei Xue
Pharmacology & Pharmacy (PP) , 2019, DOI: 10.4236/pp.2019.103011
Abstract:
Aim: To explore and analyze the feasibility of establishing a program of complex intervention in Traditional Chinese Medicine (TCM) based on Text Mining and Interviewing method. Methods: According to MRC, Constructing the program of complex intervention in TCM by Text Mining and Interviewing method should include 4 steps: 1) establishment of interview framework via normalization of extraction of ancient documents and Effectiveness of collection of modern periodical literatures; 2) materialization of interview outline based on Focus Group Interview; 3) rudimentary construction of complex intervention program based on Semi-structured Interview; 4) evaluation of curative effect of complex intervention. Conclusions: It is feasible and significative to establish a program of complex intervention in TCM based on Text Mining and Interviewing method.
The Efficacy and Safety of Modified Xiaoyao San for Perimenopausal Syndrome (PMS): A Systematic Review and Meta-Analysis  [PDF]
Wenzhi Hao, Lian Gong, Feifei Xue
Journal of Biosciences and Medicines (JBM) , 2019, DOI: 10.4236/jbm.2019.74007
Abstract: Objectives: To assess the efficacy and safety of modified Xiaoyao San (XYS) for treating Perimenopausal syndrome (PMS). Methods: Literature searches were carried out on PubMed, Cochrane Library, CNKI Database, Chinese Biomedical Literature Database, Wan Fang Database, and VIP Database up to December 2018. Hand search for further references was conducted. Study selection, data extraction, quality assessment, and data analyses were performed as request of the Cochrane standards. Results: Nine publications in total were suitable for inclusion. There was evidence that modified XYS was tested to be more effective in improving overall symptoms compared with HRT (odds ratio 3.50, 95% CI 2.56 to 4.78). Whereas HRT was more sensitive and direct in decreasing FSH (WMD 6.69, 95% CI 5.60 to 9.52) and LH (WMD 7.00, 95% CI, 5.75 to 8.25) in comparison with XYS group. It was also strongly supported that XYS had less adverse effect than HRT (odds ratio 0.07, 95% CI 0.05 to 0.10). Conclusion: Modified XYS might be more effective and safer in treatment of perimenopausal syndrome. However, due to poor methodological quality in the majority of included studies, the potential benefit and safety about XYS need to be confirmed in rigorously designed, multi-centre, and large-scale trials.
Electrical Transport Properties of Multilayered Single-Walled Carbon Nanotube Films
Yanli Zhao,Wenzhi Li
Journal of Nanotechnology , 2012, DOI: 10.1155/2012/601582
Abstract: An improved layer-by-layer vacuum filtration method was adopted for the fabrication of single-walled carbon nanotube (SWCNT) films aiming at a series of SWCNT films with controllable thickness and density. The electrical transport properties of the multilayered SWCNT films have been investigated. With the constant film density, the decrease of the layer number of the SWCNT film results in an increase of the temperature coefficient of resistance (TCR). SWCNT film with 95% metallic nanotubes has shown a lower TCR than that of the SWCNT films with a low percentage of metallic nanotubes. The effect of thermal annealing and subsequent acid (HNO3) treatment on the electrical properties of the SWCNT films has also been investigated. 1. Introduction Even though single-tube devices based on single-walled carbon nanotubes (SWCNTs) have excellent properties [1–3], these devices are usually fabricated randomly since it is very difficult to find two identical SWCNTs through currently available technology. Currently, the available technologies for SWCNT synthesis usually produce a mixture of nanotubes with varying diameters [4–8]. An as-prepared SWCNT can be either metallic or semiconducting depending on its chirality. In general, one-third of the synthesized SWCNTs are metallic, while the other two-thirds are semiconducting [9]. Even though the separation of metallic SWCNTs from a mixture of both metallic and semiconducting SWCNTs has recently become possible [10], the repeatable fabrication of two identical SWCNT devices is further than a near future work. From the application aspect, SWCNT films which contain SWCNTs with all kinds of chiralities are very attractive, since they suppress the differences among individual nanotubes. Low temperature measurements may give some insight into the transport mechanism of SWCNT films, which could lead to an optimal SWCNT film with designed electrical properties [11]. In addition to being a potential replacement for ITO as a conductive and transparent electrode material, SWCNT thin films have also attracted a lot of attention recently due to their large bolometric photoresponse and high temperature coefficient of resistance (TCR) [12]. High TCR SWCNT films are highly desired for its potential application in infrared (IR) sensor. Vacuum filtration has been found as an effective approach for repeatable fabrication of single-walled carbon nanotube (SWCNT) films with a designed thickness and film density [1]. In this work, an improved layer-by-layer vacuum filtration method was adopted for the fabrication of SWCNT films aiming at
Review of several problems on the study of eco-hydrological processes in arid zones
Wenzhi Zhao,Guodong Cheng
Chinese Science Bulletin , 2002, DOI: 10.1360/02tb9084
Abstract: Ecosystem degradation is a common and cardinal environmental problem in arid zones. The change in the eco-hydrological processes is the basic cause responsible for such a problem. The study on the eco-hydrological processes in arid zones has become a forefront and focus of the eco-environmental research. Recent studies on eco-hydrological processes in arid zones show that the primary vegetation pattern and its eco-hydrological effect are of the most stable state of the ecosystem in arid zones. Special water absorption ways of plants in arid zones and the hydraulic lift and reverse hydraulic lift functions of some plants are the key mechanisms to maintain the stability of the ecosystem in arid zones. In the case of water shortage, ensuring ecological water requirement and maintaining proper ecological ground-water table are the prerequisite to keep healthful operation of the ecosystem in arid zones. The paper reviews some advances in the study of eco-hydrological processes in arid zones. It puts forward the concepts of critical ecological water requirement, optimal ecological water requirement and saturated ecological water requirement, and discusses their determination methods. It also emphasizes that the studies on natural vegetation pattern and eco-hydrological effect, on plants with hydraulic lift function, on water sources for plant absorption, on ecological water requirement and ecological groundwater table for different plant species should be strengthened to determine the species composition and pattern suitable for the restoration and reestablishment of vegetation in different arid zones in China.
On the Hecke Eigenvalues of Maass Forms
Wenzhi Luo,Fan Zhou
Mathematics , 2014,
Abstract: Let $\phi$ denote a primitive Hecke-Maass cusp form for $\Gamma_o(N)$ with the Laplacian eigenvalue $\lambda_\phi=1/4+t_{\phi}^2$. In this work we show that there exists a prime $p$ such that $p\nmid N$, $|\alpha_{p}|=|\beta_{p}| = 1$, and $p\ll(N(1+|t_{\phi}|))^c$, where $\alpha _{p},\;\beta _{p}$ are the Satake parameters of $\phi$ at $p$, and $c$ is an absolute constant with $0
DiFS: Distributed Flow Scheduling for Data Center Networks
Wenzhi Cui,Chen Qian
Computer Science , 2013,
Abstract: Data center networks leverage multiple parallel paths connecting end host pairs to offer high bisection bandwidth for cluster computing applications. However, state of the art distributed multi-pathing protocols such as Equal Cost Multipath (ECMP) use static flow-to-link assignment, which is load-oblivious. They may cause bandwidth loss due to \emph{flow collisions} on a same link. Recently proposed centralized scheduling algorithm or host-based multi-pathing may suffer from scalability problems. In this paper, we present Distributed Flow Scheduling (DiFS) for data center networks, which is a switch-only distributed solution. DiFS allows switches cooperate to avoid over-utilized links and find available paths without centralized control. DiFS is scalable and can react quickly to dynamic traffic, because it is independently executed on switches and requires no synchronization. Extensive experiments show that the aggregate bisection bandwidth of DiFS using various traffic patterns is much better than that of ECMP, and is similar to or higher than that of a recent proposed centralized scheduling algorithm.
Dual-structure Data Center Multicast Using Software Defined Networking
Wenzhi Cui,Chen Qian
Computer Science , 2014,
Abstract: Data center applications use multicast as an effective method to reduce bandwidth cost. However, traditional multicast protocols designed for IP networks are usually bottlenecked by the limited state capacity on switches. In this paper, we propose a scalable multicast solution on fat tree networks based on the observation that data center multicast traffic has strong heterogeneity. We propose to remove the multicast management logic from switches and use the SDN controller to manage multicast groups. The proposed Dual-structure Multicast (DuSM) determines elephant and mice groups according to their traffic amounts and treats them separately. For each elephant group, the controller installs multicast state to maintain multiple shared trees and the group traffic will be balanced evenly among the trees to avoid congestion. For mice groups, the controller applies state-free mutlicast that trades bandwidth capacity for state capacity, such as multicast-to-unicast translation. Our experiments using real multicast traffic data show that the number of groups DuSM supports can be 300% of that of IP multicast. DuSM also achieves traffic balance among links.
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