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Shunfeng Li,Anjian Wang,Lina Liu,Guangrui Tian,Fangfang Xu 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.3
To improve the efficiency of polysaccharideextraction, vacuum technology was used to breakdown thecell wall to extract polysaccharides from Lentinus edodesstipe, and the optimal parameters were optimized byresponse surface methodology. Then the antioxidantactivities in vitro of the polysaccharides were evaluated. Results showed that the optimal conditions for polysaccharideextraction were temperature of 62 C, vacuum of0.08 MPa, stirring speed of 1200 r/min, time of 25 min andmaterial/liquid ratio of 1:26 (g/mL). Under these conditions,the yield of polysaccharide was 4.28%. The decolorizationrate and deproteinization rate of polysaccharidestreated by kaolin and hydrogen peroxide were higher thanthat of activated carbon. However, there was no significantinfluence on the polysaccharide retention rate, that wasabout 80%. Results also indicated that polysaccharidetreated with activated carbon could obtain higher antioxidantactivity.
An Improved Classification Course Based on Mapreduce
Haitao Wang,Shunfeng Liu,Zongpu Jia 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
It is an importance step for near-duplication detection to perform file classification in the data mining field, in this paper an improved classification course is proposed which consists of training and test course corresponding to its algorithm respectively. It utilizes the MapReduce computing model created by Google to conduct the classification calculation. Specially, the Sogou news data with various data amounts which simulated the massive data set was used for testing effectiveness and a comparative evaluation on execution time and speedup was accomplished on the experimental circumstance. The results obtained shows that the classification course obviously reduces the execution times greatly and gains the ideal speedup ratio when increasing data amounts, achieves the better performance.