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        Identification of Spillovers in Urban Street Networks Based on Upstream Fixed Traffic Data

        Dongfang Ma,DianHai Wang,YiMing Bie,Sheng Jin,Zhenyu Mei 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.5

        This paper presents a method to identify spillovers based on upstream fixed detector data, using occupancy per cycle as thedetermination index. The key idea of this new method is that when the queues extend to the detector position, there will be unusablegreen time to a certain degree, and the occupancy will be greater than a particular threshold. Firstly, this paper introduces traffic wavemodels modified by a kinematic equation, and provides a calculation method for the occupancy per cycle under different trafficconditions, based on the relationship between the three basic traffic flow parameters, speed, traffic flow, and density. Secondly, thethreshold of occupancy, which characterizes the appearance of spillovers, is determined by the premise that the stopping and startingwaves have the same speed, and then the accuracy of the new method are verified by VISSIM simulation, using the ratio ofmisjudgment as the evaluation index. Finally, the precision stability of the method is analyzed, and the results show that the precisionof this method is affected by the the detector location and bus ratio insignificantly.

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        Enhancing the hydrolysis of corn starch using optimal amylases in a high-adjunct-ratio malt mashing process

        Linjiang Zhu,Ting Ma,Yiming Mei,Qi Li 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.5

        Incompletely degraded corn starch particles often seriously inhibit wort filtration and decrease a brewery’s beer productivity. Herein, the inhibiting factors of starch hydrolysis and the application of amylases to degrade residual starch were evaluated. The results showed that resistant starch and the amylopectin of corn starch were not the inhibiting factors. Almost all residual starch left in the spent grain layer was proved to be degradable by amylases. Mesophilic a-amylase was selected through a comparison of nine amylases, which increased the wort filtration rate by 44%. However,[6% of corn starch was still left after mashing when a high ratio of corn starch to water ([1:3.5) was used in liquefaction. The low water content in liquefaction was proved to be the key inhibiting factor. Considering the existing equipment and brewing technology, the application of mesophilic a-amylases should be a simple and effective method for enhancing the hydrolysis of corn starch and accelerating the wort lautering process during a high-adjunct-ratio beer brewing process.

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