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Synthesis Backbone-Dual-Responsive of Hyperbranched Poly(bis(N,N-ethyl acrylamide))s By RAFT
Yonggang Wu,Libin Bai,Guang Li,Wenliang Li,Sujuan Wang,Xinwu Ba,Guoqiang Zhou,Hongchi Zhao 한국고분자학회 2014 Macromolecular Research Vol.22 No.11
Hyperbranched poly(bis(N,N-ethyl acrylamide))s (HPNAMs) with many vinyls as terminal groups weresynthesized successfully using reversible addition fragmentation chain transfer polymerization (RAFT). Detailedanalyses, based on the molecular weight, α value, degree of branching (DB), and lower critical solution temperature (LCST)obtained from nuclear magnetic resonance (NMR), multi detector-size exclusion chromatography (MDSEC), ultravioletvisible(UV-vis) spectroscopy, and dynamic light scattering (DLS), indicate that we acquired backbone-temperatureand pH responsive HPNAM. Factors, such as DB, molecular weight, and pH value, that affect the LCST were investigated. It was found that the molecular weights of the hyperbranched polymers show significant influence on the LCSTs. For the HPNAMs with low molecular weight, the LCSTs decreased as the DB increased, and the LCSTs can also beadjusted by changing the pH value of solutions. Furthermore, the result of cell cytotoxicity indicates that this new dualresponsive hyperbranched polymer has low cytotoxicity and exhibits potential for biomedical applications.
Xiaohong Xiao,Shimon Wdowinski,Yonggang Wu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.11
The aim of this study is to extract water body using the integrated features of Landsat ETM+ and ALOS PALSAR data. Water body extracted from Landsat ETM+ tends to lose smaller water bodies like small rivers and ponds. Besides, water area with plant (lotus) is difficult to recognize. ALOS PALSAR data have a much higher resolution, capable of extracting almost all the water bodies without confusion with other surface features, but leave some holes in water bodies due to its speckles. As a consequence, there is a significant interest in the development of fusion methods that are able to take advantage of the complementary nature of Landsat ETM+ and ALOS PALSAR data. A new combination method of integrating band 3, band 7 of Landsat ETM+ with a modified HH polarization of ALOS PALSAR is proposed, which well combine the complementary water information from each source compared to the standard image fusion methods. Experimental outcomes of the proposed combination B37ModHH shows great enhancement in water classification accuracy compared to Landsat ETM+ and ALOS PALSAR alone.
Yonggang Liu,Daqi Chen,Zhenzhen Lei,Datong Qin,Yi Zhang,Rui Wu,Yong Luo 한국자동차공학회 2017 International journal of automotive technology Vol.18 No.5
This paper focuses on the dynamic modeling and control of engine starting for a Full Hybrid Electric Vehicle (FHEV) consisting of an Integrated Starter Generator (ISG) and Dual Clutch Transmissions (DCTs). The dynamic characteristics of the engine, the ISG motor and the main clutch are analyzed respectively. The dynamic models of the main components of the powertrain system are also established taking the system dynamic characteristics into consideration. The FHEV dynamic model of engine starting during electric driving mode has been investigated in detail. The coordinated control strategy of engine starting has been proposed based on the powertrain system dynamic characteristics. The simulation for the engine starting control during electric driving mode has been performed based on the Matlab/Simulink platform. The simulation results show that the proposed control strategy satisfies the requirements of response and smoothness during engine starting process. Furthermore, a bench test has been carried out to analyze the system characteristics during engine starting process. The test data is highly agreeable to the simulation data and the effectiveness of engine starting control strategy is validated by the comparison between simulation results and the test data.
Yonggang Yan,Luhan Li,Kenan Wu,Gang Zhang,Liang Peng,Yanni Liang,Zheng Wang 한국식품영양과학회 2022 Journal of medicinal food Vol.25 No.8
Baicalin and berberine hydrochloride are the main chemical compositions of Scutellariae Radix and Coptidis Rhizoma, respectively. S. Radix and C. Rhizoma are two traditional Chinese herbs that are commonly used together in compounded formulations to treat colitis. Therefore, the combination of Baicalin and berberine hydrochloride (BBH) to treat colitis was studied. The results of pharmacological evaluations demonstrated the excellent protective effects of BBH on colitis induced by dextran sulfate sodium (DSS). BBH could improve the morphological condition of colitis in mice and maintain the balance of proinflammation cytokines (IL-6, IL-8, IL-1β, and TNF-α) and anti-inflammation cytokines (IL-4 and IL-10). The 16s rDNA sequencing revealed that BBH was able to modulate the composition of intestinal microflora, especially the abundances of Eubacterium_brachy_group, Holdemania, Erysipelotrichaceae_UCG_003, Christensenellaceae_R-7_group, and Sellimonas. The results of PICRUSt indicated that the therapeutic effects of BBH were tightly connected with DNA synthesis, replication and repair of gut microbiota. In summary, it was concluded that BBH could protect mice against DSS-induced colitis, and the protective effects were tightly correlated with gut microbiota.
Liu Yonggang,Wu Zhou,Wang Hongbin,Zhang Ting 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.77 No.10
We theoretically investigate a new type of piezoelectric actuator with tubular interdigitated electrodes. A partial model is adopted due to the axial symmetry of the actuator, which is divided into non-overlapping opposing electrode pairs on the center plane of the branch electrode. We present a finite element model of actuator and analyze its static-dynamic properties by using the commercially available finite element software ABAQUS. The length-to-diameter ratio of the tubular actuator can be as larger as necessary, so we are more concerned with the axial mechanical properties of the actuator. Thus we studied the influence of the electrode's shape and structure size on the clamping stress and free strain of the partial models. We also analyzed an ordinary piezoelectric model of the same size. We demonstrated that the partial model displayed significantly improved axial performance over the ordinary one. The axial stress of the partial model can reach 2.75 times that of the ordinary one, and the axial free strain can reach 1.55 times that of the ordinary one. According to the results of the static analysis, appropriate electrodes and structural parameters were selected to establish a tubular actuator model, with which modal and harmonic response analysis were performed. A modal analysis was used to obtain the frequencies and the shapes of the axial vibration. Each pair of electrodes is shunted to a sinusoidal varying voltage. Using the results of the harmonic response analysis, we obtained the actuator's axial resonance curve.
Lightweight Intrusion Detection of Rootkit with VMI-Based Driver Separation Mechanism
( Chaoyuan Cui ),( Yun Wu ),( Yonggang Li ),( Bingyu Sun ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.3
Intrusion detection techniques based on virtual machine introspection (VMI) provide high temper-resistance in comparison with traditional in-host anti-virus tools. However, the presence of semantic gap also leads to the performance and compatibility problems. In order to map raw bits of hardware to meaningful information of virtual machine, detailed knowledge of different guest OS is required. In this work, we present VDSM, a lightweight and general approach based on driver separation mechanism: divide semantic view reconstruction into online driver of view generation and offline driver of semantics extraction. We have developed a prototype of VDSM and used it to do intrusion detection on 13 operation systems. The evaluation results show VDSM is effective and practical with a small performance overhead.
Yanfang Ma,Zhihang Zhao,Boyan Tang,Yonggang Wu,Hailei Zhang 한국고분자학회 2020 Macromolecular Research Vol.28 No.10
We demonstrate the use of a supernormal valence transition-metal (Ce(IV) and Cu(III))-mediated redox system for the surface grafting on the halloysite nanotubes (HNTs). Following this way, commonly-used vinyl monomers were grafted on HNTs in one step under mild condition. The grafting was evidenced using FTIR, X-ray photoelectron spectroscopy (XPS), and thermogravimetric analysis (TGA). The micromorphology was carefully characterized by transmission electron microscope (TEM). The results indicate that the surface grafting reaction was successfully processed in all cases, in which the Ce(IV) shows a much higher initiation activity than that of Cu(III). Then a uniform hydrogel was constructed by mixing poly(triethyl(4-vinylbenzyl)phosphonium chloride-grafted HNTs (HNTs-P(Et-P)) with sodium polyacrylate-grafted HNTs (HNTs-P(AA-Na)), which show desirable antibacterial activity.
Instance segmentation with pyramid integrated context for aerial objects
Juan Wang,Liquan Guo,Minghu Wu,Guanhai Chen,Zishan Liu,Yonggang Ye,Zetao Zhang 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
Aerial objects are more challenging to segment than normal objects, which are usually smaller and have less textural detail. In the process of segmentation, target objects are easily omitted and misdetected, which is problematic. To alleviate these issues, we propose local aggregation feature pyramid networks (LAFPNs) and pyramid integrated context modules (PICMs) for aerial object segmentation. First, using an LAFPN, while strengthening the deep features, the extent to which low-level features interfere with high-level features is reduced, and numerous dense and small aerial targets are prevented from being mistakenly detected as a whole. Second, the PICM uses global information to guide local features, which enhances the network's comprehensive understanding of an entire image and reduces the missed detection of small aerial objects due to insufficient texture information. We evaluate our network with the MS COCO dataset using three categories: airplanes, birds, and kites. Compared with Mask R-CNN, our network achieves performance improvements of 1.7%, 4.9%, and 7.7% in terms of the AP metrics for the three categories. Without pretraining or any postprocessing, the segmentation performance of our network for aerial objects is superior to that of several recent methods based on classic algorithms.