• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.2
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• pp.370-378
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• 2007

${\ulcorner}$Zhujieshanghanlun(註解傷寒論)${\lrcorner}$ are som particular points as below ; first, set up the concepts of chuanjing(傅經), zaichuanjing(再傅經), and guojing(過經). Second, suggested the half exterior and half interior syndrome(半表半裏證) firstly. The third, understood origin literature by the distinguished way for syndrome in accordance with the Yin and Yang(陰陽). Forth, wangyang(亡陽) is described by two different syndromes. One is with perspiration. The other is yangxuzheng(양허증(陽虛證)) from injured yangqi(陽氣). Fifth, xialibiannongxue(下利便膿血) was distinguished by the generic characters of The Cold and Hot(熱${\cdot}$寒). The last, ${\ulcorner}$Shanghanlun${\lrcorner}$ (傷寒論) was described at the view of viscera & bowels's physiology and their pathology. And shaoyin(少陰) disease was aware of kidney case and Taiyin(太陰) disease was aware of spleen case. There are two different cases of bowel diseases. One is that xieqi(邪氣) goes in stomach of Yangming(陽明). The other is that xieqi(邪氣) follows channel and goes into bowel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2020-2037
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• 2017

In order to improve the energy efficiency of n-Epidemic routing protocol in opportunistic networks, in which a stable end-to-end forwarding path usually does not exist, a novel adjustment strategy for parameter n is proposed using learning atuomata principle. First, nodes dynamically update the average energy level of current environment while moving around. Second, nodes with lower energy level relative to their neighbors take larger n avoiding energy consumption during message replications and vice versa. Third, nodes will only replicate messages to their neighbors when the number of neighbors reaches or exceeds the threshold n. Thus the number of message transmissions is reduced and energy is conserved accordingly. The simulation results show that, n-Epidemic routing protocol with the proposed adjustment method can efficiently reduce and balance energy consumption. Furthermore, the key metric of delivery ratio is improved compared with the original n-Epidemic routing protocol. Obviously the proposed scheme prolongs the network life time because of the equilibrium of energy consumption among nodes.