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Search Results: 1 - 10 of 132354 matches for " Ding Li "
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The Safe Navigation of Partial Motion Planning Based on “Cooperation” with Roadside Fixed Sensors in VANET  [PDF]
Rong Ding, Xiaoguang Li
Wireless Sensor Network (WSN) , 2010, DOI: 10.4236/wsn.2010.29079
Abstract: In recent years, many methods of safe vehicle navigation and partial motion planning (PMP) have been proposed in vehicular ad-hoc network (VANET) field. In order to improve the limitation of traditional PMP, this paper presents a novel effective way to plan motion with cooperation of roadside fixed sensors (RFSs). With their cooperation, the vehicles can get the surrounding information quickly and effectively, and give highly accurate projections about the near future conditions on road. After proposing our algorithm, the worst case is analyzed and methods are found to solve the problem. Finally we conduct one elemental contrast experiment, driver situation awareness, with or without the “cooperation” of RFSs in highway scenarios. The result shows that the vehicles can make a better PMP based on the forward conditions received from RFSs, and extend the warning distance obviously when emergency happens.
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines  [PDF]
Sheng Ding, Li Chen
Intelligent Information Management (IIM) , 2010, DOI: 10.4236/iim.2010.26043
Abstract: Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of classification, SVM kernel parameter setting during the SVM training procedure, along with the feature selection significantly influences the classification accuracy. This paper proposes two novel intelligent optimization methods, which simultaneously determines the parameter values while discovering a subset of features to increase SVM classification accuracy. The study focuses on two evolutionary computing approaches to optimize the parameters of SVM: particle swarm optimization (PSO) and genetic algorithm (GA). And we combine above the two intelligent optimization methods with SVM to choose appropriate subset features and SVM parameters, which are termed GA-FSSVM (Genetic Algorithm-Feature Selection Support Vector Machines) and PSO-FSSVM(Particle Swarm Optimization-Feature Selection Support Vector Machines) models. Experimental results demonstrate that the classification accuracy by our proposed methods outperforms traditional grid search approach and many other approaches. Moreover, the result indicates that PSO-FSSVM can obtain higher classification accuracy than GA-FSSVM classification for hyperspectral data.
Approximation Schemes for the 3-Partitioning Problems  [PDF]
Jianbo Li, Honglin Ding
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.51B021
Abstract: The 3-partitioning problem is to decide whether a given multiset of nonnegative integers can be partitioned into triples that all have the same sum. It is considerably used to prove the strong NP-hardness of many scheduling problems. In this paper, we consider four optimization versions of the 3-partitioning problem, and then present four polynomial time approximation schemes for these problems.
Adsorption Application for Removal of Hazardous Chloroform from Aqueous Solution by Nanocomposites Rectorite/Chitosan Adsorbent  [PDF]
Shiqian Li, Peijiang Zhou, Ling Ding
Journal of Water Resource and Protection (JWARP) , 2011, DOI: 10.4236/jwarp.2011.36055
Abstract: A novel nanocomposite bioadsorbent rectorite/chitosan was prepared by controlling different mass ratios of chitosan to rectorite using the water phase intercalation technique. The structure of the bioadsorbent was characterized by Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD) and scanning electron microscopy (SEM), Transmission electron microscopy (TEM), respectively. The results showed that the chitosan had been inserted into the rectorite layer successfully. The adsorption properties of the nanocomposite adsorbent toward CHCl3 from aqueous solution were investigated. Adsorption results showed that both nanocomposite adsorbents with weight ratio of rectorite to chitosan of 3:1 and 5:1 exhibited higher adsorption capacities.
Nonsurgical orthodontic treatment for an adult with skeletal open bite, class III malocclusion and posterior crossbite: A case report  [PDF]
Yongming Li, Jiaqiang Liu, Yin Ding
Open Journal of Stomatology (OJST) , 2013, DOI: 10.4236/ojst.2013.33042
Abstract:

Class III malocclusion associated with skeletal anterior open bite pattern in adults can be a challenging orthodontic problem, especially for the nonsurgical treatment. Conventionally, several treatment alternatives are available such as tooth extraction, molar intrusion, and absolute anchorage system or orthognathic surgical correction. Although correction with surgery may be the most effective and stable way, many patients refused surgical treatment plan because of the costs and traumas it may bring. We reported a nonsurgical orthopedic treatment of 22-year-old male with severe skeletal anterior open bite, dental Class III malocclusion, posterior crossbite and a high mandibular plane angle. The patient refused surgery and extraction. So we formulated a treatment plan consisting of using rapid palatal expansion appliance to expand the maxilla, standard edgewise brackets to align the teeth, Class III elastics to correct the canines, premolars, and molars relationship, reverse curve of the nickel-titanium wire combined with anterior vertical elastics to intrude molars and correct open bite. In this case, without suffering of surgery, the posterior crossbite was ideally corrected, and ideal overjet and overbite relationships and functional occlusion were all achieved. The patient obtained satisfactory occlusal as well as functional and stable results.

Analysis of Five Typical Localization Algorithms for Wireless Sensor Networks  [PDF]
Shelei Li, Xueyong Ding, Tingting Yang
Wireless Sensor Network (WSN) , 2015, DOI: 10.4236/wsn.2015.74004
Abstract: In this paper, the self-localization problem is studied. It is one of the key technologies in wireless sensor networks (WSNs). And five localization algorithms: Centroid algorithm, Amorphous algorithm, DV-hop algorithm, APIT algorithm and Bounding Box algorithm are discussed. Simulation of those five localization algorithms is done by MATLAB. The simulation results show that the positioning error of Amorphous algorithm is the minimum. Considering economy and localization accuracy, the Amorphous algorithm can achieve the best localization performance under certain conditions.
Screening of Potent Inhibitor of H1N1 Influenza NS1 CPSF30 Binding Pocket by Molecular Docking  [PDF]
Li Zhang, Jian Zhao, Guowei Ding, Xuejiao Li, Hongsheng Liu
Advances in Infectious Diseases (AID) , 2012, DOI: 10.4236/aid.2012.24015
Abstract: The swine flu, H1N1 virus was outbroken in Mexico and the United States in April 2009 and then rapidly spread worldwide. The World Health Organization declared that the outbreak of influenza is caused by a new subtype of influenza H1N1 influenza virus. And researchers have isolated some oseltamivir resistance strains in 2009 swine flu which makes the imminency of research and development of new anti influenza drug. The CPSF30 binding pocket of effector domain in NS1 protein is very important in the replication of influanza A virus and is a new attractive anti flu drug target. But up to now there is no antiviral drug target this pocket. Here we employ molecular docking to screening of about 200,000 compounds. We find four novel compounds with high binding energy. Binding comformation analysis revealed that these small molecules can interact with the binding pocket by some strong hydrophobic interaction. This study find some novel small molecules can be used as lead compounds in the development of new antiinfluenza drug based on CPSF30 pocket.
The Maximum Hamilton Path Problem with Parameterized Triangle Inequality  [PDF]
Weidong Li, Jianping Li, Zefeng Qiao, Honglin Ding
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.51B022
Abstract: Given a complete graph with edge-weights satisfying parameterized triangle inequality, we consider the maximum Hamilton path problem and design some approximation algorithms.
Stability and bifurcation of numerical discretization Nicholson blowflies equation with delay
Xiaohua Ding,Wenxue Li
Discrete Dynamics in Nature and Society , 2006, DOI: 10.1155/ddns/2006/19413
Abstract: A kind of discrete system according to Nicholson's blowflies equation with a finite delay is obtained by the Euler forward method, and the dynamics of this discrete system are investigated. Applying the theory of normal form and center manifold, we not only discuss the linear stability of the equilibrium and the existence of the local Hopf bifurcations, but also give the explicit algorithm for determining the direction of bifurcation and stability of the periodic solution of bifurcation.
Co-survival of the fittest few: mosaic amplification of receptor tyrosine kinases in glioblastoma
Feng Chen, Li Ding
Genome Biology , 2012, DOI: 10.1186/gb-2012-13-1-141
Abstract: Heterogeneity, long recognized as a hallmark for cancers, provides the platform for clonal evolution to occur. The advancement of genome biology, especially next generation DNA sequencing technology, has started to reveal tumor heterogeneity at the gene level and, increasingly, the nucleotide level. Deep sequencing of cancer genomes in combination with sophisticated clustering algorithms is being used to identify subclones with similar genomic variant profiles with increasing confidence and resolution. Comparisons of primary tumor samples with matched metastatic samples, xenografts and relapse samples have provided clues for delineating subclonal phylogenetic evolutionary history, rooted at the primary tumor and diverging into its various derivatives [1-7]. Ideally, such studies would use single cell sequencing, which provides the most detailed picture of tumor heterogeneity and clonal evolutionary history. Indeed, this challenging technique has recently been successfully used to infer the evolutionary history of breast cancer cells based on copy number variations [8]. However, the low genome coverage and the intrinsic error rate in current DNA sequencing technology limit the resolution with which genomic variants are detected in these samples. A recent study by Snuderl et al. [9] has revealed the mosaic amplification of multiple receptor tyrosine kinases (RTKs) in glioblastoma multiforme (GBM) (Figure 1) and achieved single-cell resolution, with regard to the selected target genes, in dissecting tumor heterogeneity. The discovery of mosaic amplification of RTKs in GBMs has broad implications for tumor clonal evolution, the concept of driver mutations, and treatment choices.Amplification of RTK genes, including those encoding the epidermal growth factor receptor (EGFR), the vascular endothelial growth factor receptor (VEGFR2), the platelet-derived growth factor receptor A (PDGFRA), and the oncogenes KIT and MET, drives the tumorigenesis of GBM through the activation
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