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Your search keyword '"Ke, Wei-Dong"' showing total 11 results
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11 results on '"Ke, Wei-Dong"'

4. A well encapsulating stearic acid composite phase change material sealed by calcium carbonate.

Author

Zhang, Jin-Lin, Wu, Xiu-Wen, Ke, Wei-dong, and Li, Zhan-Bing

Subjects
STEARIC acid, CALCIUM carbonate, PHASE change materials, THERMAL conductivity, DIFFERENTIAL scanning calorimetry, NUCLEATING agents, HEAT storage
Abstract

A new type of microencapsulated stearic acid phase change material was synthesized by in-situ polymerization with calcium carbonate as the encapsulation material and nucleating agent to stearic acid. The thermal properties of microencapsulated stearic acid were investigated by differential scanning calorimetry, thermogravimetric analysis and hot disk. The maximum phase change enthalpy is about 139 J/g and 135 J/g in the melting and solidifying processes, which are higher than those of the stearic acid composite phase change materials previously reported. The optimum encapsulation ratio of the calcium carbonate to the stearic acid is about 79%. In addition, the samples exhibited a perfect spherical morphology, good thermal stability, shape stability, relatively well thermal conductivity and good thermal cycle life. The in-situ polymerization synthesis method used in preparing the stearic acid phase change microcapsules has been less studied. [ABSTRACT FROM AUTHOR]

Published
2020
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5. Cloud Computing Resource Scheduling Method Research Based on Improved Genetic Algorithm

Author

Yun Fei Cui, Xin Ming Li, Ji Lu Zhu, and Ke Wei Dong

Subjects
Rate-monotonic scheduling, Computer science, business.industry, Distributed computing, General Engineering, Cloud computing, Dynamic priority scheduling, Round-robin scheduling, Fair-share scheduling, Scheduling (computing), Genetic algorithm scheduling, Two-level scheduling, Genetic algorithm, CloudSim, business
Abstract

Resource scheduling is the key port of cloud computing resource management. One excellent method may enhance the efficiency of the whole cloud computing system, and effectively share resource in wide area. Genetic Algorithm has adaptability, global optimization ability and implicit parallelism, which is not in other methods. For the sake of scheduling effective resource to accomplish relevant task, improved genetic algorithm is adopted in cloud computing resource scheduling research. Finally, a simulation based on cloudsim is carried out, which proves the correctness and validity of the scheduling method mentioned in this paper.

Published
2011

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