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- 저자 : Lichen Yang (검색결과 4 건)
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Lichen Zhang,Linlin Wang,Jingwei Cai,Ting Yang,Jianke Li,Guowei Shu 한국식품과학회 2024 Food Science and Biotechnology Vol.33 No.4
Consuming pomegranate juice (PJ) is beneficial for hypertensive regulation because of the phenolic compounds in PJ and their inhibitory activity on angiotensin-I-converting enzyme (ACE). To better utilize bioactive function of food, microorganism fermentation has been adopted to alter phenolic metabolism. This study confirms that even under in vitro digestion, fermented PJ (FPJ) maintains higher ACE inhibitory activity than that of PJ. The main phenolic compounds in PJ were compared either under fermentation or in vitro digestion. This study finds that fermentation promotes antioxidant capacity of PJ. The chemical properties of FPJ are evaluated and the corresponding relationship with bioactivities is analyzed. A sensory evaluation comparison is conducted between FPJ and PJ, furnishing interesting information for consumers. This study highlights the relationship between ACE inhibitory activity of PJ and phenolic composition under fermentation and in vitro digestion, providing novel insights for diet regulation of phenolic-rich FPJ in ACE inhibition therapy.
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Prognostics of capacitors for power converters based on data augmentation and IPSO‑GRU
Quan Sun,Lichen Yang,Hongsheng Li,Guodong Sun 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.12
Aluminum electrolytic capacitors (AECs) play a crucial role in traction power electronic converters, which are also the most likely to be responsible for breakdowns. Fault prediction for AECs is helpful to realize preventive maintenance and to reduce the cost of the entire system. However, it is restricted by the collected data scale and the period of the deteriorative process of AECs. Thus, this paper takes the advantages of the synthetic minority oversampling technique (SMOTE) that is used to augment the degradation data information and the gate recurrent unit (GRU) that can be suitable for degradation samples to establish a prediction model. An improved particle swarm optimization (IPSO) algorithm is utilized to optimize the hyper parameters of the GRU to promote the feature learning and prediction performance. Thereupon, a prognostics model based on data augmentation and a GRU optimized by IPSO is simulated on a degradation dataset of AECs under an aging test. The results show that the integrated prediction model achieves better accuracy and reliability when compared to some traditional models. Furthermore, the relative error of each prediction point is less than 2.5% for single step and 3.0% for multi-step, respectively.
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A Social Motivation-aware Mobility Model for Mobile Opportunistic Networks
( Sen Liu ),( Xiaoming Wang ),( Lichen Zhang ),( Peng Li ),( Yaguang Lin ),( Yunhui Yang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8
In mobile opportunistic networks (MONs), human-carried mobile devices such as PDAs and smartphones, with the capability of short range wireless communications, could form various intermittent contacts due to the mobility of humans, and then could use the contact opportunity to communicate with each other. The dynamic changes of the network topology are closely related to the human mobility patterns. In this paper, we propose a social motivation-aware mobility model for MONs, which explains the basic laws of human mobility from the psychological point of view. We analyze and model social motivations of human mobility mainly in terms of expectancy value theory and affiliation motivation. Furthermore, we introduce a new concept of geographic functional cells, which not only incorporates the influence of geographical constraints on human mobility but also simplifies the complicated configuration of simulation areas. Lastly, we validate our model by simulating three real scenarios and comparing it with reality traces and other synthetic traces. The simulation results show that our model has a better match in the performance evaluation when applying social-based forwarding protocols like BUBBULE.
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Mimicking the pattern formation of fruits and leaves using gel materials
Li Chen,Yang Zhang,Somsak Swaddiwudhipong,Zishun Liu 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.50 No.5
Gel materials have recently gained more attention due to its unique capability of large andreversible volumetric changes. This study explores the possibility of mimicking the pattern formation ofcertain natural fruits during their growing process and leaves during drying processes through the swellingand de-swelling of gel materials. This will hopefully provide certain technical explanations on themorphology of fruits and plants. We adopt the inhomogeneous field gel theory to predict the deformationconfigurations of gel structures to describe the morphology of natural fruits and plants. The growingprocesses of apple and capsicum are simulated by imposing appropriate boundary conditions and fieldloading via varying the chemical potential from their immature to mature stages. The drying processes ofthree types of leaves with different vein structures are also investigated. The simulations lead to promisingresults and demonstrate that pattern formation of fruits and plants may be described from mechanicalperspective by the behavior of gel materials based on the inhomogeneous field theory.
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