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        핀테크 기반의 간편결제 서비스 지속적 사용의도에 대한 요인 연구

        우가인 ( Yu Jia-tong ),조재형 ( Cho Jae-hyung ) 한국정보시스템학회 2017 情報시스템硏究 Vol.26 No.3

        Purpose The purpose of this study is to analyze the factors for continuous use intention of the simple payment service based on FinTech for Chinese residents in Korea. The Technology Acceptance Model(TAM) and the continuous use model of information system were applied to the AliPay service, which is the most used by Chinese people. Design/methodology/approach In this study, internal factors and external factors for the simple payment service were derived through previous studies and the effects of the users` perspectives on the intention of continuous use were analyzed. As a result, convenience, responsiveness, perceived usefulness, and suitability were supported as factors affecting ongoing intention to use simple payment service. Especially, convenience is a factor affecting the duration of the simple payment service and it is an important factor for the continuous use of the service. Findings As the number of foreigners living or working in Korea is increasing, understanding the perception of the simple payment service and analyzing the factors for the continuous use can be meaningful as a basic research for the market advancement and growth of domestic FinTech companies is.

      • KCI등재

        Activated Protein C Protects Myocardium Via Activation of Anti-apoptotic Pathways of Survival in Ischemia-reperfused Rat Heart

        Jia-Wang Ding,Xiao-Hong Tong,Jun Yang,Zhao-Qi Liu,Yan Zhang,Jian Yang,Song Li,Li Li 대한의학회 2010 Journal of Korean medical science Vol.25 No.11

        Activated protein C (APC) is known to be beneficial on ischemia reperfusion injury in myocardium. However, the protection mechanism of APC is not fully understood. The purpose of this study was to investigate the effects and possible mechanisms of APC on myocardial ischemic damage. Artificially ventilated anaesthetized Sprague-Dawley rats were subjected to a 30 min of left anterior descending coronary artery occlusion followed by 2 hr of reperfusion. Rats were randomly divided into four groups; Sham, I/R, APC preconditioning and postconditioning group. Myocardial infarct size, apoptosis index, the phosphorylation of ERK1/2, Bcl-2, Bax and cytochrome c genes and proteins were assessed. In APC-administrated rat hearts, regardless of the timing of administration, infarct size was consistently reduced compared to ischemia/reperfusion (I/R) rats. APC improved the expression of ERK1/2 and anti-apoptotic protein Bcl-2 which were significantly reduced in the I/R rats. APC reduced the expression of pro-apoptotic genes, Bax and cytochrome c. These findings suggest that APC produces cardioprotective effect by preserving the expression of proteins and genes involved in anti-apoptotic pathways, regardless of the timing of administration.

      • An improved extended Kalman filter for parameters and loads identification without collocated measurements

        Jia He,Mengchen Qi,Zhuohui Tong,Xugang Hua,Zheng Qing Chen 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.31 No.2

        As well-known, the extended Kalman filter (EKF) is a powerful tool for parameter identification with limited measurements. However, traditional EKF is not applicable when the external excitation is unknown. By using least-squares estimation (LSE) for force identification, an EKF with unknown input (EKF-UI) approach was recently proposed by the authors. In this approach, to ensure the influence matrix be of full column rank, the sensors have to be deployed at all the degrees-offreedom (DOFs) corresponding to the unknown excitation, saying collocated measurements are required. However, it is not easy to guarantee that the sensors can be installed at all these locations. To circumvent this limitation, based on the idea of first-orderholder discretization (FOHD), an improved EKF with unknown input (IEKF-UI) approach is proposed in this study for the simultaneous identification of structural parameters and unknown excitation. By using projection matrix, an improved observation equation is obtained. Few displacement measurements are fused into the observation equation to avoid the so-called low-frequency drift. To avoid the ill-conditioning problem for force identification without collocated measurements, the idea of FOHD is employed. The recursive solution of the structural states and unknown loads is then analytically derived. The effectiveness of the proposed approach is validated via several numerical examples. Results show that the proposed approach is capable of satisfactorily identifying the parameters of linear and nonlinear structures and the unknown excitation applied to them.

      • KCI등재

        Preparation and Preliminary Evaluation of Macroporous Magnetic Agarose Particles for Bioseparation

        Jia-Li Gu,Hong-Fei Tong,Lai-Yu Sun 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.1

        Macroporous magnetic agarose particles (MMAPs) were prepared with calcium carbonate as the porogent by the water-in-oil suspension thermal regeneration method. MMAPs with good sphericity and appropriate particle size were obtained. The physical properties of the beads were determined and it was found that the water content (92.1%), porosity (94.4%) and mean pore diameter (120.1 nm) of the MMAPs were higher than those for the normal magnetic particles, indicating successful generation of macropores after calcium carbonate addition. Compared with normal magnetic particles, the mass transfer of biomolecules in MMAPs was remarkably enhanced. Finally, MMAPs were modified with 5-amino-benzimidazol (ABI) ligand and the adsorption capacity of IgG reached 153 mg/mL, higher than that of the normal magnetic particles (126 mg/mL). Moreover, adsorption behavior of MMAPs to IgG was little changed after twenty-five recycled use. Hence, MMAPs prepared herein showed great potential for bioseparation.

      • Optimization Control for Space Manipulator Motion Reliability Considering Multi-Index and Multi-Factor

        Tong Li,Qingxuan Jia,Gang Chen,Hanxu Sun 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6

        In order to improve the motion reliability of space manipulator during its long time service on-orbit, multiple indexes which can reflect the motion performance and multiple factors (control variables of manipulator) which have influence on motion reliability are involved in establishing an optimization control model. Thus the problem of motion reliability improvement is expressed as an multiple-objective problem (MOP). In order to solve the MOP, dimension reduction strategy is proposed based on covariance matrix of motion reliability indexes. As a result, the MOP is turned into single objective problem. Then control variables are optimized based on null space of space manipulator, and the best weight matrix can be obtained when the objective is minimal. Simulations are carried out to verify the feasibility and effectiveness of the optimization control strategy. By decreasing the error introduction into the control variables, the motion reliability can be effectively improved.

      • KCI등재

        Effect of MgO on migration and distribution of chromium in stainless-steel slag glass–ceramics and glass properties

        Zhifang Tong,Congcong Xu,Jiaxing Wang,Zhiheng Jia 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.1

        Herein, stainless-steel slag was used to prepare glass–ceramics. The effects of the MgO content on the occurrence, distributionstate, and migration behavior of Cr in glass–ceramics as well as glass properties were systematically studied. Results revealedthat in the nucleation stage, the number of Cr-spinel (Cr spinel) nanocrystals initially increased and then decreased with theincreasing MgO content. In the crystallization stage, the diopside crystal phase considered Cr-spinel nanocrystals asheterogeneous nuclei, which gradually nucleated and grew. Transmission electron microscopy and X-ray photoelectronspectroscopy analyses showed that part of Cr in the spinel migrated into the diopside lattice and some other parts remainedin the Cr spinel wrapped by the diopside. Cr in the glass phase also diffused and migrated into the diopside lattice with theformation of diopside crystals. When the MgO content was 12.3 wt.%, 97.33 wt.% of the total amount of Cr was observedin the diopside crystal phase and the leaching concentration of Cr in the glass–ceramics was only 0.006 mg/L. The compressivestrength of the glass–ceramics was 261.7 MPa, and the Vickers hardness was 1007.7 HV. The research results providetheoretical and technical support for strengthening Cr fixation and realizing harmless and high-value utilization of stainlesssteelslag.

      • Proposals for flexural capacity prediction method of externally prestressed concrete beam

        Wu-Tong Yan,Liang-Jiang Chen,Bing Han,Feng Wei,Hui-Bing Xie,Jia-Ping Yu 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.83 No.3

        Flexural capacity prediction is a challenging problem for externally prestressed concrete beams (EPCBs) due to the unbonded phenomenon between the concrete beam and external tendons. Many prediction equations have been provided in previous research but typically ignored the differences in deformation mode between internal and external unbonded tendons. The availability of these equations for EPCBs is controversial due to the inconsistent deformation modes and ignored secondorder effects. In this study, the deformation characteristics and collapse mechanism of EPCB are carefully considered, and the ultimate deflected shape curves are derived based on the simplified curvature distribution. With the compatible relation between external tendons and the concrete beam, the equations of tendon elongation and eccentricity loss at ultimate states are derived, and the geometric interpretation is clearly presented. Combined with the sectional equilibrium equations, a rational and simplified flexural capacity prediction method for EPCBs is proposed. The key parameter, plastic hinge length, is emphatically discussed and determined by the sensitivity analysis of 324 FE analysis results. With 94 collected laboratory-tested results, the effectiveness of the proposed method is confirmed, and comparisons with the previous formulas are made. The results show the better prediction accuracy of the proposed method for both stress increments and flexural capacity of EPCBs and the main reasons are discussed.

      • KCI등재

        Detection of Powdery Mildew of Bitter Gourd Based on NIR/Fluorescence Spectra

        Gao Jia Yu,Wei Dong Zheng,Wang Xiang,Tang Jin Cheng,Xu Ji Tong,Zhao Ping,Ning Xiao Feng 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.3

        Purpose Powdery mildew as one of the common vegetable diseases has very rapid infection. Its outbreak will bring about disastrous consequences to vegetable output; thus, it is of key importance to do rapid identifi cation and prevention of powdery mildew. Methods In this test, 100 bitter gourd leaves were collected as research samples, and the data of near-infrared spectra, fl uorescence spectra, and chromatic values L*a*b* , and the classic K-S algorithm was adopted to divide the sample sets; then, the quantitative forecasting and qualitative discrimination models were established. First, Pearson’s correlation analysis was carried out to fi nd the feasibility of taking a * as the modeling parameter, through cross-validation; the quantitative forecasting model was optimized by the PLSR (partial least squares regression) method. The model is also optimized by extracting the spectral feature bands using the continuous projection SPA method. Results The optimization results showed that the MSC + SPA + PLSR quantitative forecasting model of near-infrared spectra could eff ectively improve model precision, which was signifi cantly higher than that of fl uorescence spectra. Classifi cation Leaner was used to establish the quantitative forecasting model. Compared with the model of near-infrared spectra, the SPA + SVM qualitative discrimination model of fl uorescence spectra could improve the identifi cation precision of powdery mildew of bitter gourd as high as 98% through training. Conclusion This study proposed diff erent combination methods based on quantitative forecasting and qualitative discrimination and could provide a method and reference to the identifi cation of powdery mildew of bitter gourd.

      • KCI등재

        Preparation and High Degradation Activity of Supported Nano-Bi2WO6-TiO2/Nickel Foam Photocatalyst

        Qin Tong,Ya-Mei Dong,Xiao-Jia Wang,Peng Yan,Dan-Nong He 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.6

        The supported nano-Bi2WO6–TiO2/nickel foam photocatalyst was synthesized via spraying method with silica sol as a binder. The as-prepared photocatalyst with large surface and thermal stability exhibited enhanced photocatalytic performance for degradation of Rhodamine B (RhB) solution in sunlight irradiation. The results showed that the RhB solution could be degraded to 71.6% within 60 min, exhibiting that improved photocatalytic activity increased by 77.6%, compared with that of pure Bi2WO6–TiO2 nanoparticles. Its high photocatalytic activity was due to the presence of nickel foam in the catalytic process, making the Bi2WO6–TiO2 highly dispersed and increasing the contact area of the photocatalysts with the organic pollutants. At the same time, a possible photocatalytic mechanism for the enhanced photocatalytic performance was investigated.

      • Modeling and Tracing Web Content Provenance

        Jing Ni,Jia Hao,Xuemei Li,Tong Zhao 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4

        In recent years, research in data provenance has attracted a lot of attention, since it helps to judge the relevance and trustworthiness of the information enclosed in the data. However, many webpages still lack provenance annotation, and this is a main obstacle of tracing the content. In this paper, we propose a model for on-line Web paper variation, based on the W3C PROV Data Model. A semantic similarity clustering method is adopted to determine the relationship within the documents derivation, and feature words variation and the responsible person can be found with the aid of PROV-O. To verify this model, a detailed case study is shown in this paper.

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