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Search Results: 1 - 10 of 8167 matches for " Shao Minchao "
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Work Behavior Analysis of FMCG Salesman  [PDF]
Minchao Liao, Lili Fan
Open Journal of Business and Management (OJBM) , 2014, DOI: 10.4236/ojbm.2014.23028
Abstract: In the background of cut-throat competition in the FMCG industry, work behaviors of the salesman at the forefront of the business play an important role to achieve the marketing objectives. Based on the sales behaviors and related scale development theory, and following the logic of analyzing FMCG sales order work stages first, and then the sales order work contents of each stage, and the work behavior characteristics of sales order of each stage at last, the work behavior of FMCG salesman is discussed in this paper.
Double wavelengths ultraviolet absorption method for organic wastewater COD measurement and its instrument design

Shao Minchao,Xia Fengyi,Sheng Chenglong,Li Jinye,Liang Weijian,

环境工程学报 , 2013,
Abstract: Ultraviolet absorption method for organic wastewater COD measurement is a green nondestructive testing method, which has the advantages of no reagent application, no sample preparation, and no secondary pollution, but in practical application, the measurement results are greatly influenced by the suspended solids in organic wastewater. The operation method of double wavelengths ultraviolet absorption for COD measurement and the principle of eliminating interference of suspended solids were discussed in this paper, which based on the actual wastewater sample, and online COD measuring instrument was discussed as well which was designed based on this method. The embedded computer system was used in this instrument to collect and process the real-time data, and the COD was calculated quickly according to the effective ultraviolet absorbance which was in the condition of double wavelengths measurement of practical wastewater sample, the testing results show that the instrument has characteristics of rapid, accurate and no pollution.
黄敏超, 吴尚
HUANG Minchao
, WU Shang

- , 2016, DOI: 10.11887/j.cn.201605015
Abstract: 采用先进遗传算法对太阳能热推进系统一次聚光器参数进行优化,达到减小推进系统质量的目的。以聚光器太阳光收集效率和聚光器质量为优化目标函数,建立聚光器工作的数学模型,并开展相关仿真研究。仿真结果表明,先进遗传算法可有效用于太阳光收集效率和聚光器质量优化分析。
An advanced genetic algorithm was used to make an optimization analysis on the solar thermal propulsion system condenser parameters for reducing the mass of system. Considering the sunlight collection efficiency and the mass of condenser as the optimization objective function, a mathematical model of condenser work was established and several related simulation researches were carried out. The simulation results show that the advanced genetic algorithm can be effectively used in the optimization analysis of the sunlight collection efficiency and the condenser mass.
The evolution of influenza viruses  [PDF]
Huixun Shao
Health (Health) , 2012, DOI: 10.4236/health.2012.430153
Abstract: Influenza virus infection, one of the most common infectious diseases is a highly contagious airborne disease that causes an acute febrile illness and results invariable degrees of systemic symptoms, ranging from mild fatigue to respiratory failure and death. In addition to humans, influenza also infects a variety of animal species. Influenza A viruses also can infect domestic animals (pigs, horses, dogs, chickens and ducks) and some wild birds. Some of these influenza strains are species specific, but new strains of influenza may spread from other animal species to humans. These deadly strains produced 3 global pandemics in the last century, the worst of which occurred in 1918. Three pandemics of influenza have swept the world since the “Spanish” flu of 1918, the “Asian” flu pandemic of 1957, the “Hong Kong” flu pandemic of 1968, the “Swine” flu pandemic that began in April of 2009. The pandemic of 1957 probably made more people sick than the one of 1918, but the availability of antibiotics to treat the secondary infections that are the usual cause of death resulted in a much lower death rate. An influenza pandemic occurs only when the influenza virus mutates into something dangerously unfamiliar to our immune systems and yet is able to jump from human to human through a sneeze, cough or touch. Asia is the source of many outbreaks because swines, birds and humans live under the same roof, providing opportunity for viral mixing. The best way to prevent the sickness is to get yearly injections of a vaccine that prevents influenza.
Introduction and ecological effects of an exotic mangrove species Sonneratia apetala

PENG Yougui,XU Zhengchun,LIU Minchao,

生态学报 , 2012,
Abstract: 无瓣海桑是我国首个从国外引进并大面积推广种植的红树植物,生长快,适应性强,已成为华南沿海红树林恢复造林的主要树种。但近年来无瓣海桑引种已引起较大争论,焦点是无瓣海桑是否会对乡土红树植物生长产生不利影响,是否会造成生态入侵,是否应限制推广种植。根据引种以来的研究成果,对无瓣海桑的生态适应性、种植技术、生产力与物质循环、生态影响等四个方面的引种研究进行综述;分析无瓣海桑引种对乡土红树植物生长的影响和生态入侵可能性,对无瓣海桑引种造林提出建议。指出今后无瓣海桑引种的的研究重点为:无瓣海桑引种的生态监测与入侵评估;对滩涂水生生物的影响;与乡土红树植物优化配置的混交种植技术;无瓣海桑的资源化利用。
Fuzzy Hypersphere Neural Network and its Application on Pattern Clustering

Huang Minchao,Zhang Yulin,Chen Qizhi,

自动化学报 , 1997,
Abstract: An unsupervised hypersphere neural network that is used for pattern clustering is presented.Each clustered pattern set is a fuzzy set hypersphere with a corresponding membership function.A pattern class is the combination of the pattern sets.The center and radius of the hypersphere are determined using the fuzzy hypersphere learning algorithm,an expansion contraction process that can learn nonlinear pattern set boundaries in few passed through the data and provides the ability to incorporate new and refine existing pattern sets without retraining.The simulation of clustering demonstrates the superiority of the fuzzy hypersphere clustering neural network.
Diffusion and adsorption mechanism of copper and zinc cyanide complexes on ion exchange fiber

Dang Xiaoe,Huai Minchao,Lan Xinzhe,

环境工程学报 , 2012,
Abstract: 运用Boyd液膜扩散公式和范山鹰等提出的扩散模型,考察了碱性溶液中铜、锌氰配合物在离子交换纤维上的扩散行为;通过分析吸附前后纤维上官能团的位置变化以及解吸前后纤维上元素含量的变化,研究铜、锌氰配合物在纤维上的吸附机理。实验结果表明,离子交换纤维对铜、锌配合物的吸附在反应初期,以液膜扩散为主控制步骤,反应后期,以空隙扩散为主控制步骤。并运用离子交换纤维在水溶液中具有类似胶体型物质的双电层结构解释了不同控制阶段吸附速率不同的原因,虽然各阶段吸附速率有所不同,但纤维对铜、锌氰配合物的吸附均为离子交换机制。
黄敏超, 杜运良
HUANG Minchao
, DU Yunliang

- , 2016, DOI: 10.11887/j.cn.201606010
Abstract: 吸气式冲压推进技术是吸气式太阳能热推进技术的基础。如何设计一种性能理想的进气道是吸气式太阳能热推进技术研究的重点。应用稀薄气体动力学仿真常用的直接数值模拟蒙特卡洛算法对两种常见的进气道结构进行仿真分析,得到两种进气道工况下气体的温度、密度、流量系数和速度等参数的分布,并进行对比。通过比较,选择一种性能较好的构型作为吸气式太阳能热推进系统的进气道,从而为后续系统的设计、计算、分析和优化打下了基础。
Air-breathing scramjet propulsion is the basis of air-breathing solar thermal propulsion technology. How to design an ideal air-inlet is crucial for the propulsion system. By taking advantage of the common method, the DSMC(direct simulation Monte Carlo) on rare-field gas dynamics research, was made to simulate two kinds of air-inlets, which obtained a lot of air parameters such as temperature, density, coefficient of flow and velocity. Then it selected a better air-inlet shape from comparison and treated the shape as a basic air-inlet shape in air breathing solar thermal propulsion system. It lays a foundation for the design, computation, analysis and optimization on the whole system.
Differences of cadmium uptake by rice genotypes and relationship between the iron oxide plaque and cadmium uptake

LIU Minchao,LI Huafen,XIA Lijiang,YANG Linshu,

环境科学学报 , 2000,
Abstract: Differences of cadmium uptake by plants of rice genotypes and relationships between the concentration of Fe deposited on root surface and the concentration of cadmium in plants were studied in agar culture under controlled conditions. The results showed that there were differences in cadmium taken up by root and shoot, cadmium accumulated on root surface of different rice genotypes, the transportation of cadmium from root to shoot in different rice genotypes, and the amount of iron oxides deposited on the root surface of different rice genotypes. There was a significant correlation between the concentration of Fe deposited on root surface and the Cd accumulated on root surface, root and shoot of rice.
Parallel Clustering Algorithm for Large-Scale Biological Data Sets
Minchao Wang, Wu Zhang, Wang Ding, Dongbo Dai, Huiran Zhang, Hao Xie, Luonan Chen, Yike Guo, Jiang Xie
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0091315
Abstract: Backgrounds Recent explosion of biological data brings a great challenge for the traditional clustering algorithms. With increasing scale of data sets, much larger memory and longer runtime are required for the cluster identification problems. The affinity propagation algorithm outperforms many other classical clustering algorithms and is widely applied into the biological researches. However, the time and space complexity become a great bottleneck when handling the large-scale data sets. Moreover, the similarity matrix, whose constructing procedure takes long runtime, is required before running the affinity propagation algorithm, since the algorithm clusters data sets based on the similarities between data pairs. Methods Two types of parallel architectures are proposed in this paper to accelerate the similarity matrix constructing procedure and the affinity propagation algorithm. The memory-shared architecture is used to construct the similarity matrix, and the distributed system is taken for the affinity propagation algorithm, because of its large memory size and great computing capacity. An appropriate way of data partition and reduction is designed in our method, in order to minimize the global communication cost among processes. Result A speedup of 100 is gained with 128 cores. The runtime is reduced from serval hours to a few seconds, which indicates that parallel algorithm is capable of handling large-scale data sets effectively. The parallel affinity propagation also achieves a good performance when clustering large-scale gene data (microarray) and detecting families in large protein superfamilies.
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