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Search Results: 1 - 10 of 81017 matches for " Changsheng LIU "
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Liu Changsheng,

大气科学进展 , 1988,
Abstract: The technique using a ground-based infrared broad-band scanning radiometer to measure temperature pro-files in the boundary layer is suggested. The methods for retrieving and reducing its errors are discussed, and that of correction to water vapour absorption is also given.
Modeling of Slab Induction Heating in Hot Rolling by FEM  [PDF]
Ruibin Mei, Changsheng Li, Xianghua Liu, Bao Li, Bin Han
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.34041
Abstract: FEM (Finite Element Method) has been widely used to solve temperature in hot rolling. The heat gen-erating rate of electromagnetic field has been discussed in order to improve the efficiency and accuracy in the solution of induction heating. A new heat generating rate model was proposed and derived from the calculated results by FEM software in consideration of work frequency, source current density, and the air gap between induction coil and slab. The calculated distribution of heat generating rate in the skin depth by the model is satisfying and reliable compared with that of FEM software. Then, the mathematic model of the heat generating rate model is considered as the density of heat reservoir to solve the temperature in induction heating. Moreover, the temperature evolution of slab in induction heating from a hot rolling plant has been solved by the developed FE code and the calculated temperature has a good agreement with the measured value. Therefore, the heat generating rate model is suitable and efficiency to solve the temperature in induction heating by FEM.
Fluorescent Labeling of Nanometer Hydroxyapatite

Yuan ZHANG,Yuan YUAN,Changsheng LIU,

材料科学技术学报 , 2008,
Abstract: A novel surface treatment method using 3-aminopropyltriethoxysilane (AMPTES), was developed to immobilize the fluorescein molecule on nano-HAP (nanometer hydroxyapatite) powders. By pretreating the nano-HAP powders surface with AMPTES, fluorescein, chosen on the basis of the chemical structure of the nano- HAP powders, could be bound to the nano-HAP powders surface. The chemical compositions of nano-HAP before and after being labeled were characterized by Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS). The morphology, phase composition, and the fluorescence characteristics of the nano-HAP powders with and without staining were also investigated. The FTIR and XPS results revealed that fiuorescein had been successfully immobilized on the surface of AMPTES-bound nano-HAP powders via the acylamide bond formation between the -COOH of fluorescein and the -NH2 of AMPTES. The labeled nano-HAP powders possessed strong fluorescent intensity with a little deviation from the maximum emission wavelength of fluorescein. But the morphology and phase composition had no obvious alteration. Under fluorescence microscopy, the labeled nano-HAP powders., even after 24 h cell incubation, exhibited strong fluorescence.
Man-Computer Interactive Method on Cloud Classification Based on Bispectral Satellite Imagery

Yu Fan,Liu Changsheng,Chen Weimin,

大气科学进展 , 1997,
Abstract: A bispectral cloud classification method based on man-computer interactive way, i.e. a unit feature space clasification method (UFSCM), has been presented in this paper. Apart from land and water, six types of clouds including cumulonimbus, multilayer cloud system, thin / think cirrus, middle and low level clouds are recognized. The method has been tested by using more than two hundred samples, with total accuracy reaching 87.1%.
Structural investigation of the zirconium-titanium based amino trimethylene phosphonate hybrid coating on aluminum alloy

Shuanghong WANG,Changsheng LIU,Fengjun SHAN,

金属学报(英文版) , 2009,
Abstract: A zirconium-titanium based amino trimethylene phosphonate hybrid coating on AA6061 aluminum alloys was formed by dipping in a fluorotitanate/zirconate acid and amino trimethylene phosphonic acid (ATMP) solution for improving the lacquer adhesion and corrosion resistance as a substitute of chromate coatings. The morphol-ogy and structure of the hybrid coating were studied by means of scanning electror microscopy (SEM) and atomic force microscopy (AFM). The surface compositior and structure characteristics were also investigated by means of X-ray photoelectron spectroscopy (XPS) and Fourier transformation infra-red spectroscopy (FTIR). The results of SEM and AFM show that the hybrid coating present piece particle distrib-ution which is much denser than that of the zirconium-titanium coating. The results of XPS and FTIR indicate that the hybrid coating is a hybrid composite structure composed of both the zirconium-titanium and amino trimethylene phosphonate coat-ings.
Fast Determination of Vitamin B2 Based on Molecularly Imprinted Electrochemical Sensor  [PDF]
Peidong Xu, Changsheng Qiao, Shufeng Yang, Lijuan Liu, Mingwei Wang, Juankun Zhang
Engineering (ENG) , 2012, DOI: 10.4236/eng.2012.410B034
Under the condition of weak acidity of pH 5.2, a sensitive vitamin B2 electrochemical sensor based on molecularly imprinted nonconducting polymer of o-aminophenol by potentiostatic polymerization in the presence of template(vitamin B2) on a glassy carbon electrode was prepared, and its performance was studied. The sensor exhibited good sensitivity and selectivity to VB2. The detection limit went down to 2.3851nM, and a linear relationship between the current incremental and the concentration was found in the range of 10~120nM. And the sensor could use in detection of VB2 real sample for a long time and show good reproducibility. The average recovery rate to VB2 was 98.41%.
Filling Holes in Triangular Meshes in Engineering
Ping Hu,Changsheng Wang,Baojun Li,Mingzeng Liu
Journal of Software , 2012, DOI: 10.4304/jsw.7.1.141-148
Abstract: In this paper, a novel hole-filling algorithm for triangular meshes is proposed. Firstly, the hole is triangulated into a set of new triangles using modified principle of minimum angle. Then the initial patching mesh is refined according to the density of vertices on boundary edges. Finally, the patching mesh is optimized via the bilateral filter to recover missed features. Experimental results demonstrate that the proposed algorithm fills complex holes robustly, and preserves geometric features to a certain extent as well. The resulted meshes are of good quality for engineering.
Plasma-Mediated Immobilization of Antibody with PEG as Spacer for Enhanced Endothelial Cell Adhesion and Proliferation
Yuan Yuan,Jing Zhang,Min Yin,Changsheng Liu
Advances in Biomaterials , 2014, DOI: 10.1155/2014/261281
Abstract: Immobilization of anti-CD34 antibody is proven to be an effective strategy to accelerate reendothelialization and thereby lower the thrombosis of blood contacting grafts. To realize highly efficient immobilization of anti-CD34 antibody, an argon cold plasma-mediated graft process was developed with PEG as spacer arm in this study. In this process, the 316L stainless steel (316LSS) model substrate was first coated with ethylene vinyl acetate copolymer (EVA) followed by argon plasma treatment and PEG400 modification (EVA-PEG). The EVA-PEG was further ignited by argon plasma and then the anti-CD34 antibody was immobilized. XPS measurement indicated the successful immobilization of the EVA and the anti-CD34 antibody molecules. Compared with the anti-CD34 antibody anchored without PEG, the immobilized EVA-PEG-anti-CD34 antibody exhibited better capturing efficiency (increase about 1-fold) of specific antigen. Consequently, the endothelial cell attachment (before 12?h) and proliferation (1~4 days) were significantly improved. Further study showed that this EVA-PEG-anti-CD34 coating could reduce blood coagulation. Therefore, this cold plasma-mediated graft process with PEG spacer arm developed here is a promising strategy to immobilize antibody with higher bioactivity for rapid reendothelialization of the cardiovascular implants. 1. Introduction Coronary artery stenting has made tremendous success in the treatment of coronary artery disease [1–3]. In particular, the drug-eluting stents, which incorporate drugs that can effectively reduce the proliferation and migration of smooth muscle, have been developed and several clinically proven products (Cypher, Taxus, etc.) are currently available on market [2, 3]. Unfortunately, the Late Angiographic Stent Thrombosis (LAST) continues to be a major challenge, which often leads to the failure of stent implantation in clinic. It is well-accepted that the poor endothelium-paving, either due to the injury to and loss of the endothelium or the retard endothelialization in/after implantation, is the important contributor to this thrombosis [4–6]. Therefore, from this viewpoint, accelerating reendothelialization or relining at denudated regions after implantation should be the most effective strategy to improve the clinic patency rate, particularly in small and medium diameter vascular prostheses. To achieve rapid reendothelialization, many different approaches have been developed in the past few years, including active endothelial cell coating [7, 8] and EC-compatible layer [9]. Among them, anti-CD34 antibody-grafted stent,
A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for a SLA-Aware Service Composition Problem
Hao Yin,Changsheng Zhang,Bin Zhang,Ying Guo,Tingting Liu
Mathematical Problems in Engineering , 2014, DOI: 10.1155/2014/252934
Abstract: For SLA-aware service composition problem (SSC), an optimization model for this algorithm is built, and a hybrid multiobjective discrete particle swarm optimization algorithm (HMDPSO) is also proposed in this paper. According to the characteristic of this problem, a particle updating strategy is designed by introducing crossover operator. In order to restrain particle swarm’s premature convergence and increase its global search capacity, the swarm diversity indicator is introduced and a particle mutation strategy is proposed to increase the swarm diversity. To accelerate the process of obtaining the feasible particle position, a local search strategy based on constraint domination is proposed and incorporated into the proposed algorithm. At last, some parameters in the algorithm HMDPSO are analyzed and set with relative proper values, and then the algorithm HMDPSO and the algorithm HMDPSO+ incorporated by local search strategy are compared with the recently proposed related algorithms on different scale cases. The results show that algorithm HMDPSO+ can solve the SSC problem more effectively. 1. Introduction Service-oriented architecture (SOA) is an emerging style of software architecture that reuses and combines loosely coupled services for building, maintaining, and integrating applications in order to improve productivity and cost effectiveness throughout the application life cycle [1]. In SOA, each application is often designed with a set of services and a workflow (or business process). Each service encapsulates the function of an application component. Each workflow defines how services interact with each other. When a service-oriented application operates, it is instantiated as a workflow instance that deploys each service in the application as one or more service instances. Each service instance follows a particular deployment plan; different service instances operate at different quality of service (QoS) levels. When an application is intended to serve different categories of users, it is instantiated with multiple workflow instances, each of which is responsible for offering a specific QoS level to a particular user category. In SOA, a service-level agreement (SLA) is defined upon a workflow instance as its end-to-end QoS requirements such as throughput, latency, and cost (e.g., resource utilization fees). In order to satisfy the given SLAs, application, developers are required to optimize a composition of service instances, service composition, for each user category by considering which service instances to use for each service and how many
Max-Margin based Discriminative Feature Learning
Changsheng Li,Qingshan Liu,Weishan Dong,Xin Zhang,Lin Yang
Computer Science , 2014,
Abstract: In this paper, we propose a new max-margin based discriminative feature learning method. Specifically, we aim at learning a low-dimensional feature representation, so as to maximize the global margin of the data and make the samples from the same class as close as possible. In order to enhance the robustness to noise, a $l_{2,1}$ norm constraint is introduced to make the transformation matrix in group sparsity. In addition, for multi-class classification tasks, we further intend to learn and leverage the correlation relationships among multiple class tasks for assisting in learning discriminative features. The experimental results demonstrate the power of the proposed method against the related state-of-the-art methods.
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