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- 저자 : Haonan Li (검색결과 6 건)
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Haonan Li,Baojia Sun,Mingying Wang,Xu Hu,Xiang Gao,Sheng-tao Xu,Yongnan Xu,Jin-yi Xu,Hui-Ming Hua,Da-Hong Li 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.11
Diterpenoids are important and widely distributed natural compounds with various biological effects, including antitumor, anti-inflammatory and so on. Great efforts have been put in phytochemistry research on diterpenoids. A number of structural modified derivatives and pharmacophore incorporated hybrids were also designed and synthesized with promising therapeutic effects. Among the hopefuls, enmein-type 6,7-seco-ent-kaurane diterpenoids with unique ring system and stereogenic centers exhibit attractive activities. Based on their lead-like properties, enmein-type diterpenoids are suitable for further medicinal study. The derivatives were biologically evaluated and showed promising activities, which warranted in-depth research for further understanding. In this review, the natural bioactive enmein-type diterpenoids and the synthetic derivatives were comprehensively summarized.
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Effect of naphthalene quinoline and H2S on DBT hydrodesulfurization over unsupported NiMoW catalyst
Changlong Yin,Haonan Zhang,Tongtong Wu,Zhuyan Wu,Kunpeng Li,Yan Kong,Chengwu Dong,Chenguang Liu 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.12
Unsupported catalysts have attracted much attention for high activity in comparison with the traditional supported catalyst. Meanwhile, the clear structure of unsupported catalysts is helpful for the recognition of active phase for conducting the industry production. The NiMoW unsupported catalyst was prepared by hydrothermal synthesis and characterized by BET, XRD and HRTEM. The effects of naphthalene, quinoline and H2S on the hydrodesulfurization reactivity of dibenzothiophene (DBT) were investigated in both a batch autoclave and a continuous 10 ml fixed bed micro-reactor over NiMoW and supported catalyst for comparison. The results showed that the hydrogenation reaction and the hydrogenolysis reaction occurred on different active sites. For supported catalyst, the inhibition was relatively weaker, and the inhibition of the hydrodesulfurization pathway was much higher than the direct desulfurization pathway. Although unsupported catalyst was very sensitive to quinoline and H2S in this experiment, the HDS ratio on the unsupported catalyst was maintained at a high level above 99.7%, which is attributed to the very high active site density of unsupported catalysts.
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Huang Jiandong,Li Hongmei,Yang Liguo,Zhao Haonan,Zhang Peng 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
In this paper, a novel discrete terminal integral sliding-mode backstepping control (DTISM-BSC) is proposed for the surface-mounted permanent magnet synchronous motor (SMPMSM) drive system, which improves the speed tracking performance and robustness of the system. In this control scheme, the discrete ultra-local model (ULM) of the SMPMSM drives, which employs the algebraic parameter identification technology to handle the unknown disturbance and parametric uncertainties, is first set up. Then, the terminal integral sliding-mode surface is proposed for its advantages of finite-time convergence to achieve speed rapid tracking, in which the control performance of backstepping control is improved. Thirdly, the equivalent control law is combined with the designed switching law to construct the speed controller based on the ULM. In this case, the bounded function is adopted to improve chattering problem. Meanwhile, the asymptotic stability and rapid convergence is verified. Finally, the experimental comparisons between the proposed method and the non-singular terminal sliding mode backstepping control (NTSM-BSC) are developed to validate the effectiveness of the proposed DTISM-BSC.
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Xiaocan Yu,Chenglin Liu,Chunlian Wang,Jiuyi Wang,Haiming Xu,Haonan Li 한국지질과학협의회 2018 Geosciences Journal Vol.22 No.3
The Paleocene sedimentary sequence in the Jiangling Depression was deposited in a salt lake environment. Based on detailed core observation of four drillholes in the Jiangling Depression, a study of sedimentary characteristics of glauberite in Paleocene lacustrine deposits was conducted through thin section petrography, X-ray diffraction, scanning electron microscopy (SEM) and electron probe microanalysis (EPMA). This study has revealed five types of geological occurrences and six types of profile distribution features of glauberite. On the basis of petrological and mineralogical characteristics, we propose that the glauberite is mainly formed by crystallization from saturated sulfate solution and by ion exchange between sulfate solution and calcium-bearing pore solution. Glauberite mainly occurs in the late stage of Paleocene, when brine is relatively highly concentrated. Replacement of gypsum by glauberite is subordinate. The depositional model of glauberite is also discussed. The sulphur isotopic values δ34S) and the strontium ratios (87Sr/86Sr) of the sulphate suggest a non-marine brine supply. The profile distribution features of glauberite contribute to a better understanding of the past climate change. The glauberite in Late Paleocene is frequently interbedded with dolomite, anhydrite, halite or thenardite, suggesting fluctuation of lake water salinity and climate. Trace element compositions of the mudstones imply the reducing condition and fluctuating salinity. The Homogenization temperatures and hydrogen and oxygen isotopic values (δDSMOW and δ18OSMOW) in halite and thenardite inclusions further indicate that in Paleocene the temperature was relatively high and fluctuant. Moreover, the palaeoclimate was drier in the late stage of Late Paleocene, though the temperature was cooler/lower.
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3D Res-Inception Network Transfer Learning for Multiple Label Crowd Behavior Recognition
( Hao Nan ),( Min Li ),( Lvyuan Fan ),( Andminglei Tong ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.3
The problem towards crowd behavior recognition in a serious clustered scene is extremely challenged on account of variable scales with non-uniformity. This paper aims to propose a crowed behavior classification framework based on a transferring hybrid network blending 3D res-net with inception-v3. First, the 3D res-inception network is presented so as to learn the augmented visual feature of UCF 101. Then the target dataset is applied to fine-tune the network parameters in an attempt to classify the behavior of densely crowded scenes. Finally, a transferred entropy function is used to calculate the probability of multiple labels in accordance with these features. Experimental results show that the proposed method could greatly improve the accuracy of crowd behavior recognition and enhance the accuracy of multiple label classification.
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