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        DMRUT-MCDS: Discovery Relationships in the Cyber-Physical Integrated Network

        Hongliang Lu,지아농챠오,Weiping Zhu,Xianlong Jiao,Shaohe Lv,Xiaodong Wang 한국통신학회 2015 Journal of communications and networks Vol.17 No.6

        In recent years, we have seen a proliferation of mobilenetwork- enabled smart objects, such as smart-phones and smartwatches, that form a cyber-physical integrated network to connect the cyber and physical worlds through the capabilities of sensing, communicating, and computing. Discovery of the relationship between smart objects is a critical and nontrivial task in cyber-physical integrated network applications. Aiming to find the most stable relationship in the heterogeneous and dynamic cyber-physical network, we propose a distributed and efficient relationship-discovery algorithm, called dynamically maximizing remaining unchanged time with minimum connected dominant set (DMRUT-MCDS) for constructing a backbone with the smallest scale infrastructure. In our proposed algorithm, the impact of the duration of the relationship is considered in order to balance the size and sustain time of the infrastructure. The performance of our algorithm is studied through extensive simulations and the results show that DMRUT-MCDS performs well in different distribution networks.

      • KCI등재

        Shear bond strength of zirconia to resin: The effects of specimen preparation and loading procedure

        Bingzhuo Chen,Lu Yang,Zhicen Lu,Hongliang Meng,Xinyi Wu,Chen Chen,Haifeng Xie 대한치과보철학회 2019 The Journal of Advanced Prosthodontics Vol.11 No.6

        PURPOSE. Shear bond strength (SBS) test is the most commonly used method for evaluating resin bond strength of zirconia, but SBS results vary among different studies even when evaluating the same bonding strategy. The purpose of this study was to promote standardization of the SBS test in evaluating zirconia ceramic bonding and to investigate factors that may affect the SBS value of a zirconia/resin cement/composite resin bonding specimen. MATERIALS AND METHODS. The zirconia/resin cement/composite resin bonding specimens were used to simulate loading with a shear force by the three-dimensional finite element (3D FE) modeling, in which stress distribution under uniform/non-uniform load, and different resin cement thickness and different elastic modulus of resin composite were analyzed. In vitro SBS test was also performed to validate the results of 3D FE analysis. RESULTS. The loading flat width was an important affecting factor. 3D FE analysis also showed that differences in resin cement layer thickness and resin composite would lead to the variations of stress accumulation area. The SBS test result showed that the load for preparing a SBS specimen is negatively correlated with the resin cement thickness and positively correlated with SBS values. CONCLUSION. When preparing a SBS specimen for evaluating bond performance, the load flat width, the load applied during cementation, and the different composite resins used affect the SBS results and therefore should be standardized.

      • KCI등재

        A Compact Macromodeling Method for Characterizing Large-signal DC and AC Performance of InP and GaAs HBTs

        Lin Cheng,Hongliang Lu,Yuming Zhang,Yimen Zhang 대한전자공학회 2022 Journal of semiconductor technology and science Vol.22 No.2

        In this paper, a compact macromodeling method for characterizing the large-signal characteristics of heterojunction bipolar transistors (HBTs) is proposed and successfully applied to describe the DC and AC performance of InP and GaAs HBT devices. Using the Symbolically-defined Device (SDD) technology, an empirical macro circuit preserving the Spice Gummel-Poon (SGP) intrinsic network and a simplified thermal network is established. The empirical current and charge functions are embedded in the SDD macro circuit network module. Compared with other large-signal models, the proposed model description and the relevant parameter extraction are relatively simpler, and at the same time, this method can maintain high fitting accuracy. To assess the validity and the accuracy of the proposed model, the compact large-signal model is constructed for 1 µm InP HBT and 1 µm GaAs HBT. Based on the complete extraction of the model parameters, excellent consistency is obtained between the measured and modeled results.

      • KCI등재

        Morphine-6-Glucuronide Isomers-Synthesis and Biological Evaluation

        Jixia Yang,Guanyi Lu,Gongzheng Zhang,Xiaodi Wang,Hongliang Wen,Cipan Huang,Jiazhen Yin,Jin Li 대한화학회 2020 Bulletin of the Korean Chemical Society Vol.41 No.11

        Morphine-6?-D-glucuronide (M6?G), an active metabolite of morphine, and its isomer morphine-6α-D-glucuronide (M6αG) were synthesized from 3-O-protected morphinethrough glycosylation and alkaline hydrolysis. All structures were determined by spectroscopic analysis, and especially it is the first time to report the single crystal of compound M6αG. In vitro binding assay showed that M6?G bound to mu opioid receptor (MOR), kappa opioid receptor (KOR), and delta opioid receptor (DOR) with nanomolar affinity (Ki = 28.03, 116.88, and 375.13?nM) and M6αG bound to them with similar affinity (Ki = 1070.13, 20?637.93, and 677.36?nM). The selectivity of M6αG toward KOR is much higher. Hot-plate test showed that the analgesic effect of M6?G is better than that of M6αG, that is maybe because the mechanism of M6αG is different.

      • KCI등재

        Crystallization kinetics and magnetic properties of spinel transition metal ferrite nanoparticles

        Yukun Sun,Dongyun Li,Pengzhao Gao,Zhouli Lu,Hongliang Ge 한양대학교 세라믹연구소 2016 Journal of Ceramic Processing Research Vol.17 No.5

        Spinel transition metal ferrite TMFe2O4 (TM = Co2+, Ni2+, Cu2+, and Zn2+) nanoparticles were prepared via a template-assistedsol-gel method followed by a calcining process, using metal nitrate precursors as raw materials. The prepared specimens werecharacterized using X-ray diffraction (XRD) and a vibrating sample magnetometer (VSM). Their structures, magneticproperties, crystallization kinetics, and the influence of crystal size (D) on the magnetic properties were investigated. It wasfound that the crystal sizes of TMFe2O4 were positively proportional to the calcined temperature and time, and thecrystallization growth activation energy (Ea) increased with the increase of metal ionic radius. The optimum calcinationparameters were obtained to form a crystal closest to the standard crystal. Additionally, the saturation magnetization ofinverse spinel structure specimens was enhanced monotonously and their coercivity showed a potential decrease trend, whilethere was an opposite change trend for normal spinel structure specimens.

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