• Journal of Digital Convergence
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• v.20 no.2
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• pp.91-105
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• 2022

Most of the preceding studies related to Internet Primary banks are studies on laws, regulations, and expected effects of introduction, and studies on financial consumers' intention to switch to financial services are insufficient. Apply to the PPM(Push-Pull-Mooring)theory to find out the factors that influence financial consumers' intention to switch services from commercial banks to Internet Primary banks. A survey was conducted service users, 1st-order and 2nd-order factor analysis were performed using Smart PLS 3.0. As a result, it was confirmed that the Pull, Push and Mooring had a positive (+) effect on the Intention to Switch, and the Mooring, which is a moderating variable, did not have a moderating effect on the Intention to Switch of the Push and the Pull. The scope of application of the PPM theory, which was used in the service conversion research, was extended to Fintech services, and it can provide various practical useful implications, such as the strategy and spread of Internet Primary banks, and it will be used in various studies to study consumer attitudes.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.169-180
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• 2017

China's mobile communication market has been growing quantitatively and qualitatively since 2000. Currently, it has secured 1.27 billion mobile subscribers and many of the Korean companies try to enter the Chinese market and cooperation with companies in China is being held. Thus understanding of the Chinese markets is the key to better prepare for future international competition. This study is to identify factors affecting switching intentions and behaviors for Chinese mobile subscribers to other mobile service providers by the PPM and it is to derive correlations between strategies of mobile service providers and users' switching intention by the groups classified by ARPU. We conducted a survey targeting 270 Chinese mobile users and analyze it by using Smart PLS 2.0. In conclusion, push effects have positive influence on intention to switching and relational switching cost among mooring effect have significantly negative influence on intention to switching In particular, intention to switching depending on the groups classified by a level of their ARPU have been shown as significantly different. This study will extend theoretical range of PPM theory in explaining users' switching behaviors and contribute to establish strategies to enter the chinese market.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.157-167
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• 2018

Internet only banking has been spreading rapidly since it was first introduced in Korea since 2017, but issues regarding its limitations continuously are rising. In this research, consumers' intention to switch have been empirically demonstrated toward the internet banking by applying the PPM theory. To achieve a purpose of the research, survey targeting total 132 person who have experiences of using KaKaobank have been implemented by using Smart PLS 3.0. In conclusion, it has been verified that the push and full effect have a positive effect on the consumers' intention to switch main bank and the degree of usage of KaKaobank have significantly influences on relation between mooring factor and consumers' intention to switch main bank. Through this study, the scope of the PPM theory applied in previous researches regarding consumer's service transition shall be extended to Fintech service and practically it provides implications for establishing a strategy to enter the Internet only bank market.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.3
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• pp.61-82
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• 2020

This study was conducted to investigate the transformation of shopping behavior from showrooming to webrooming under multi-channel environment. By applying the push-pull-pooring (PPM) theory, we conceptualized the lack of utilitarian shopping value of showrooming as a push effect, the experiential shopping value of webrooming as a pull effect and the showrooming lock-in as mooring effect. Using structural equation model based on 276 sample data, we identified that the utilitarian shopping value of showrooming and the experiential shopping value of webrooming have a positive effect on the intention of webrooming, and that the showrooming mooring had a negative effect on the intention of webrooming.

• Asian Journal of Turfgrass Science
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• v.10 no.4
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• pp.315-329
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• 1996

The changes of growth and protein synthesis pattern by aluminum (Al), cadmium (Cd), zinc (Zn) treatments were studied in Cyanobacterium synechocystis sp. PCC 6803. When exposed to Al from 5ppm to 3oppm, synechocystis grows normally. But more than that retard the growth of algae notably. The 0.05ppm Cd additions had no effect on the growth of algae. 0.1, 0.2, and 0.5ppm Cd inhibited growth. Under 1 and 2ppm Cd stress, growth was greatly diminished. Zn had dual effects. The growth of algae in media containing 5ppm was stimulated. As concentration increases more than l5ppm, growth inbition increases. Under 25ppm Zn stress, growth was greatly diminished. According to logistic theory, r and K values of each heavy metal-treated groups were estimated. Correlation analysis of r and K values with metal concentration shows that there is negative correlation between K and concentration in Cd and Zn treatments. Critical concentration which shows lethal or sublethal effect was estimated by t-test of each r and K value. The cells cultured in 10, 20, 30, 40 and 5oppm of Al, 1 and 2ppm of Cd, and 10, 15, 20, 25 and 30ppm of Zn for 4 days was used for protein analysis. Analysis of protein synthesis with SDS-PACE showed alterations of protein synthesis pattern. The synthesis of protein about 220kD increased markedly. In this study, it showed that resistance mechanism against Al, Cd, and Zn is K selection and that metal stress induced the change of protein synthesis in Cyanobacterium synechocystis sp. PCC 6803.Key words:Cyanobacterium synechocystis sp. FCC 6803, Heavy metals, Aluminum, Cadmiutm Zinc, Crowth, Frotein synthesis.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.5_6
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• pp.238-248
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• 2007

As the demand of employing various PC software on mobile embedded devices which have limited storages has been increased, software streaming services are needed. However it takes too much time to launch software on them because it is transferred through wireless networks. To address this problem, prefetch algorithms are needed. We examined 'Last successor (LS)' algorithm and PPM-based prefetch algorithm as prefetch algorithms for software streaming services. We present 'Probability-base Multi Successor (PMS)' algorithm which is contrived through analyzing evaluations of previous algorithms and characteristics of software streaming services. While LS has one successor per each block, PMS has N successors based on probability which is calculated by PPM-based prefetch algorithm. The hit rate of PMS is similar to that of PPM-base prefetch algorithm and the space overhead is similar to that of LS. We can get good efficiency at the point of memory usage when PMS is applied to software streaming services.

• Journal of Engineering Education Research
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• v.3 no.2
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• pp.3-13
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• 2000

The paper has analyzed and summarized about the theoretical problem occurred in the CAQC, and has developed the learning model focused on the histogram as a case study. The range of study is to systematize the basic method of histogram generally used, and to make step by step procedures under the interactive relation with the improvement of the theory that must be added in case of the calculation by the aided of MS-Excel software. A histogram is the theory to understand the population distribution from which samples are extracted, so alternative methods are presented to estimate the population shape through an experiment and a practice. In order to enlarge the application area of the histogram in the factory, the theory of normal test, the criteria of process capability index and the probability calculation of PPM are added to the histogram. The learning model of CAQC education is proposed that is consistent with the target of histogram to control and search the cause of item defectives fast and correctly.

• Journal of Electrochemical Science and Technology
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• v.8 no.1
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• pp.43-52
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• 2017

In this paper, for the first time, the electroanalytical study of Triethylenediamine, TEDA was done on a typically graphene modified carbon paste electrode (Gr/CPE) in pH=10.5 of phosphate buffer solutions (PBS). The surface morphology of the bare and modified electrodes was characterized by scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The electro-oxidation of TEDA was investigated at the surface of modified electrode. The results revealed that the oxidation peak current of TEDA at the surface of Gr/CPE is 2.70 times than that shown at bare-CPE. A linear calibration plot was observed in the range of 1.0 to 202.0 ppm. In this way, the detection limit was found to be 0.18 ppm. The method was then successfully applied to determination of TEDA in aqueous samples obtained from two kinds of activated carbon from the masks of war. On the other hand, density functional theory (DFT) method at B3LYP/6-311++G** level of theory and a conductor-like Polarizable Continuum Model (CPCM) was used to calculate the $pK_a$ values of TEDA. The energies of lowest unoccupied molecular orbital ($E_{LUMO}$) and highest occupied molecular orbital ($E_{HOMO}$), gap energy (${\Delta}E$) and some thermodynamic parameters such as Gibbs free energy of TEDA and its conjugate acid ($HT^+$) were calculated. The results of calculated $pK_a$ were found to be in good agreement with the experimental values.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1990.11a
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• pp.58-62
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• 1990

The size and concentration of wear debris in lubricating oil often reveal the operating condition of the rotating machinery. To evaluate the possible application of light attenuation measurement for the estimation of wear debris concentration in the lubricating oil, the light transmittance through the lubricating oil cell contaminated with various concentrations of diatomite particles was measured, the attenuation coefficient was estimated from the transmittance measurement and the coefficients were compared with those obtained from the scattering theory. The comparision showed good agreements between them. It is also noted that the experimentally determined attenuation coefficient showed almost linear relation with particle weight concentrations for the concentrations within the range of 2000 ppm. For the case of 0 ppm weight concentration of diatomite particles in the lubricating oil cell, the thickness of the cell required to give $100 \mu W$ light attenuation is 7.75 mm. This result indicates that the light attenuation method will be one of the possible candidates of machine failure diagnostic sensors for the estimation of wear debris concentration in the lubricating oil.

• Tribology and Lubricants
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• v.6 no.2
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• pp.94-98
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• 1990

The size and concentration of wear debris in lubricating oil often reveal the operating condition of the rotating machinery. To evaluate the possible application of light attenuation measurement for the estimation of wear debris concentration in the lubricating oil, the light transmittance through the lubricating oil cell contaminated with various concentrations of diatomire particles was measured, the attenuation coefficient was estimated from the transmittance measurement and the coefficients were compared with those obtained from the scattering theory. The comparision showed good agreements between them. It is also noted that the experimentally determined attenuation coefficient showed almost linear relation with particle weight coucentrations for the concentrations within the range of 2000 ppm. For the case of 0 ppm weight concentration of diatomire particles in the lubricating oil cell, the thickness of the cell required to give $100 \muW$ light attenuation is 7.75 mm. This result indicates that the light attenuation method will be one of the possible candidates of machine failure diagnostic sensors for the estimation of wear debris concentration in the lubricating oil.