• Journal of Information Technology Services
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• v.16 no.1
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• pp.99-118
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• 2017

Growing importance of online security on certification, many of the web-related security technology introduced day by day. Especially, using smart certificate (USIM) is recognized as one of the most safe and convenient method for the security of public certificate. The purpose of this study is to find the factors that affect the Intention of switching to smart certificate for the general public who use public certificate service. Based on migration theory, this study determined the relationship between pull factors, push factors and mooring factors which can affect the intention of switching to smart certificate. To empirically analyze the proposed hypothesis, the statistical analysis were conducted based on the response from 350 public certificate service users using SPSS 22.0 and Smart PLS 2.0. The results of this study can be summarized as follows. First, system quality, one of the pull factors has positive influence on perceived ease of use. On the other hand, the other pull factor, service quality has positive influence on both perceived ease of use and perceived usefulness. Second, push factors, user experience and information security awareness have positive influence on perceived ease of use only. Third, mooring factor, switching cost does not have influence on switching intention while perceived usefulness has positive influence on. The results of this research can be used for whom has interest to the switching intention of public certificate service for online security and provide the proper understanding about smart certificate service mechanism.

• Korean Journal of Applied Biomechanics
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• v.26 no.4
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• pp.433-441
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• 2016

Objective: The purpose of this study was to understand the injury mechanism and to provide quantitative data to use in prevention or posture correction training by conducting kinematic and kinetic analyses of risk factors of lower extremity joint injury depending on the change of direction at different angles after a landing motion. Method: This study included 11 men in their twenties (age: $24.6{\pm}1.7years$, height: $176.6{\pm}4.4cm$, weight: $71.3{\pm}8.0kg$) who were right-leg dominant. By using seven infrared cameras (Oqus 300, Qualisys, Sweden), one force platform (AMTI, USA), and an accelerometer (Noraxon, USA), single-leg drop landing was performed at a height of 30 cm. The joint range of motion (ROM) of the lower extremity, peak joint moment, peak joint power, peak vertical ground reaction force (GRF), and peak vertical acceleration were measured. For statistical analysis, one-way repeated-measures analysis of variance was conducted at a significance level of ${\alpha}$ <.05. Results: Ankle and knee joint ROM in the sagittal plane significantly differed, respectively (F = 3.145, p = .024; F = 14.183, p = .000), depending on the change of direction. However, no significant differences were observed in the ROM of ankle and knee joint in the transverse plane. Significant differences in peak joint moment were also observed but no statistically significant differences were found in negative joint power between the conditions. Peak vertical GRF was high in landing (LAD) and after landing, left $45^{\circ}$ cutting (LLC), with a significant difference (F = 9.363, p = .000). The peak vertical acceleration was relatively high in LAD and LLC compared with other conditions, but the difference was not significant. Conclusion: We conclude that moving in the left direction may expose athletes to greater injury risk in terms of joint kinetics than moving in the right direction. However, further investigation of joint injury mechanisms in sports would be required to confirm these findings.

• Hwankyungkyoyuk
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• v.21 no.2
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• pp.80-88
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• 2008

As the gravity of the issue of the global warming surfaced, environmental protection and energy conservation have become one of the most serious issues that global society faces. At the status quo, there are criticisms for not effectively educating the students although the problem is very severe. In middle school, for instance, only 10% of the school offer environmental education while only $20{\sim}30%$ of the high school offer it. As witnessed by these examples, we can infer that there are not well-structured, effective environmental education for teenagers. Recently, NIE(Newspaper-In-Education) has been used as effective means for some fields of middle and/ or high school education. If so, it also could be used for environmental education. The researches, however, on the topic of NIE on environmental education are very rare. In this study, the effect of NIE on environmental education was empirically tested. Our basic assumption is that NIE will cause differences in environmental perception; the cognition and concern. And environment education through NIE will cause the high level of cognition, concern, and practice regarding environment issue. Using simple experimental design and regression analysis, we tested the effect of NIE on cognition, and, concern of environment issue, and then, on the practice of environment-improving action. The "cognition level" did not show significant difference between the experimental group(which was exposed to NIE) and control group(which was not exposed to NIE). The "concern level" for environment showed significant difference. Finally, the "practice level" showed highly significant difference between the experimental and the control group. According to regression analysis, "concern" and "NIE"(dummy variable) was turned out to be statistically significant variables for practice of environment improving action. Therefore, we came up with the conclusion that NIE, which provides the most up-to-date information regarding the environmental status, can serve as the good supplementary mechanism for the effective environment education in the present Korean middle school curriculum system. The statistical result also suggests that each individual school needs to employ and extend NIE method in its environment education curriculum.

• Korean Journal of Pharmacognosy
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• v.35 no.1 s.136
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• pp.6-15
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• 2004

This study was performed to evaluate the hemopoietic effects of 6 species of deer antlers from origins and parts in vitro. CD34 positive cells were isolated and confirmed the its population by FACS analysis. In a week liquid culture, there was any statistical significance between extracts of three parts of six species of deer antlers in the experiments as colony forming assay, proliferation assay, differentiation assay and observation of morphology. However, after 2 weeks- culture with extracts of three parts of six species of deer antlers, colonies were counted. six species of deer antlers, such as middle part of Korean nippon deer, upper part of Chinese nippon deer, upper part of Newzealand horse deer, middle part of Korea horse deer and middle part of Newzealand red deer, significantly increased the CFU-GM (colony forming unit garnulocyte-macrophage) of CD34 positive cells re1atεd to production of leucocytes such as eosinophil, basophil and neutrophil, while only middle part of Korea horse deer significantly increased the BFU-E (burst forming unit-erythroid) at 1 mg/ml seggesting progenting red blood cells (RBC). In the molecular study with CD34+ cells pretreated with cyclophosphamide, antagonist of hemopoietic activity, upper Part of Korean nippon deer and upper part of Chinese nippon deer effectively increased TPO involved in a late pathway of hematopoiesis just like in ELISA assay of IL-3, TPO and GM-CSF. Taken together, these results indicate exσacts of deer antler had some hemopoietic activity still proposing more clinical study and more basic mechanism research.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.136-140
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• 2002

Objectives : A common problem with analyzing survey data involves incomplete data with either a nonresponse or missing data. The mail questionnaire survey conducted for collecting lifestyle variables on the members of the Korean Elderly Phamacoepidemiologic Cohort(KEPEC) in 1996 contains some nonresponse or missing data. The proper statistical method was applied to evaluate the missing pattern of a specific KEPEC data, which had no missing data in the independent variable and missing data in the response variable, BMI. Methods : The number of study subjects was 8,689 elderly people. Initially, the BMI and significant variables that influenced the BMI were categorized. After fitting the log-linear model, the probabilities of the people on each category were estimated. The EM algorithm was implemented using a log-linear model to determine the missing mechanism causing the nonresponse. Results : Age, smoking status, and a preference of spicy hot food were chosen as variables that influenced the BMI. As a result of fitting the nonignorable and ignorable nonresponse log-linear model considering these variables, the difference in the deviance in these two models was 0.0034(df=1). Conclusion : There is a lot of risk if an inference regarding the variables and large samples is made without considering the pattern of missing data. On the basis of these results, the missing data occurring in the BMI is the ignorable nonresponse. Therefore, when analyzing the BMI in KEPEC data, the inference can be made about the data without considering the missing data.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.225-225
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• 2015

Drought events usually evolve slowly in time and their impacts generally span a long period of time. This indicates that the sequence of drought is not completely random. The Hidden Markov Model (HMM) is a probabilistic model used to represent dependences between invisible hidden states which finally result in observations. Drought characteristics are dependent on the underlying generating mechanism, which can be well modelled by the HMM. This study employed a HMM with Gaussian emissions to fit the Standardized Precipitation Index (SPI) series and make multi-step prediction to check the drought characteristics in the future. To estimate the parameters of the HMM, we employed a Bayesian model computed via Markov Chain Monte Carlo (MCMC). Since the true number of hidden states is unknown, we fit the model with varying number of hidden states and used reversible jump to allow for transdimensional moves between models with different numbers of states. We applied the HMM to several stations SPI data in South Korea. The monthly SPI data from January 1973 to December 2012 was divided into two parts, the first 30-year SPI data (January 1973 to December 2002) was used for model calibration and the last 10-year SPI data (January 2003 to December 2012) for model validation. All the SPI data was preprocessed through the wavelet denoising and applied as the visible output in the HMM. Different lead time (T= 1, 3, 6, 12 months) forecasting performances were compared with conventional forecasting techniques (e.g., ANN and ARMA). Based on statistical evaluation performance, the HMM exhibited significant preferable results compared to conventional models with much larger forecasting skill score (about 0.3-0.6) and lower Root Mean Square Error (RMSE) values (about 0.5-0.9).

• Journal of the Korea Society for Simulation
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• v.25 no.3
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• pp.125-132
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• 2016

This study intended to exploratively depict the influence of interaction between Environmental Uncertainty and Learning Orientation of Korean IT companies on Marketing Capability which was adopted as one of the organizational performance indicator. Statistical Results based on AMOS and SPSS showed that smaller-sized companies under 500 employees are more inclined to desperately and flexibly meet and adapt to their environmental uncertainty, resulting positive performance, that is, marketing capabilities. On the other hand, larger-sized companies over 500 employees showed no significant interaction effect. This result of the study induces the reasoning that the differences in competitive environment and market leadership accrued by organizational size may also incur differences in environmental adaptive mechanism. However, this reasoning can have some limitation in that the types and traits of IT firms are so different. Therefore, this topic suggests the necessity of follow-up researches using enlarged samples in IT industry and comparative studies in other industries.

• Korean Journal of Organic Agriculture
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• v.28 no.4
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• pp.535-553
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• 2020

In this study, the characteristics of the waste sector CDM project were analyzed through cluster analysis of the waste sector CDM project and the analysis of the CDM investment cost in waste sector using CDM project data registered with UNFCCC since 2008 when EU ETS phase 2 began. As of September 2020, 772 cases of CDM projects in waste disposal and disposal are registered. Biogas technology is the largest, followed by livestock manure processing and biomass production technology. The results of the cluster analysis are summarized as follows: First, on average, projects utilizing AWMS technology are small in size and relatively low in investment costs. This is judged to be relatively low investment costs due to previously attracted foreign investment capital. Second, the average investment cost of CDM projects considered along with waste (No.13), the energy industry (No.1) and agriculture (No.15) was higher than those involving only waste. The analysis of the factors determining the investment cost of the waste sector CDM project showed that, as with cluster analysis, the AWMS technology, which is a livestock manure treatment technology, was lower in the investment cost than those that use other technologies. As a result of multiple regression analysis, the investment cost of the CDM project was analyzed lower in the order of biomass, AWMS, LFG and biogas. Also, the higher the investment cost for CDM projects linked to waste, energy and agriculture, and the better the investment environment, the higher the investment cost. Although no statistical feasibility was obtained, the larger the annual emission reduction, the lower the CDM investment cost.

• Journal of Obesity & Metabolic Syndrome
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• v.27 no.4
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• pp.233-237
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• 2018

Background: Obesity is a complex, medical condition causally contributing to many chronic diseases and a number of efforts have been made to find the associated markers for novel prevention and treatment of obesity. Our study was to evaluate the relationship between gut immune response and obesity and overweight with use of fecal calprotectin (FC) both in adult and children groups. Methods: Fecal samples were obtained from 74 subjects: 14 non-obese and overweight children (PN), 13 obese and overweight children (PO), 20 non-obese and overweight adults (AN), and 27 obese and overweight adults (AO). FC was measured using a commercial Legend Max quantitative enzyme-linked immunosorbent assay (BioLegend). Mann-Whitney U-test was used for statistical analysis. Results: Median FC concentration was $7.9{\mu}g/g$ (range, $1.9-28.9{\mu}g/g$) for PN, $5.0{\mu}g/g$ (range, $2.6-29.6{\mu}g/g$) for PO, $9.5{\mu}g/g$ (range, $0.8-28.9{\mu}g/g$) for AN, and $10.0{\mu}g/g$ (range, $1.6-25.6{\mu}g/g$) for AO, respectively. In both adults and children age groups, the FC showed no statistically significant difference between AO and AN or PO and PN. However, FC showed statistically significant difference (P<0.05) between AO and PO while not significant between AN and PN. Conclusion: FC level in AO was significantly higher than that in PO, suggestive of different pathophysiologic mechanism between children obesity and adults obesity.

• Structural Engineering and Mechanics
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• v.68 no.6
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• pp.747-760
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• 2018

In the present study, a methodology for developing fragilities of arch concrete dams to assess their performance against seismic hazards is introduced. Firstly, the probability risk and fragility curves are presented, followed by implementation and representation of the way this method is used. Amirkabir arch concrete dam was subjected to non-linear dynamic analyses. A modified three dimensional rotating smeared crack model was used to take the nonlinear behavior of mass concrete into account. The proposed model considers major characteristics of mass concrete. These characteristics are pre-softening behavior, softening initiation criteria, fracture energy conservation, suitable damping mechanism and strain rate effect. In the present analysis, complete fluid-structure interaction is included to account for appropriate fluid compressibility and absorptive reservoir boundary conditions. In this study, the Amirkabir arch concrete dam is subjected to a set of 8 three-component earthquakes each scaled to 10 increasing intensity levels. Using proposed nonlinear smeared crack model, nonlinear analysis is performed where the structure is subjected to a large set of scaled and un-scaled ground motions and the maximum responses are extracted for each one and plotted. Based on the results, fragility curves were plotted according to various and possible damages indexes. Discrete damage probabilities were calculated using statistical methods for each considered performance level and incremental nonlinear analysis. Then, fragility curves were constructed based on the lognormal distribution assumption. Two damage indexes were introduced and compared to one another. The results indicate that the dam has a proper stability under earthquake conditions at MCE level. Moreover, displacement damages index is more conservative and impractical in the fragility analysis than tensional damage index.