• Journal of Korea Water Resources Association
• /
• v.52 no.1
• /
• pp.11-19
• /
• 2019

In this study, the actual evapotranspiration products of Global Land Data Assimilation System (GLDAS), Global Land Evaporation Amsterdam Model (GLEAM) and MOD16, which are satellite- and reanalysis-based dataset, were validated at the flux tower sites (i.e., CFK and SMK) managed by Korea Institute of Hydrological Survey, and the uncertainty and correlation analysis were conducted using Triple Collocation (TC) method. The result of validation with the flux tower showed better agreement in the order of GLEAM> GLDAS>MOD16. At the result of three combinations (S1: flux tower vs. GLDAS vs. MOD16, S2: flux tower vs. GLDAS vs. GLEAM, S3: flux tower vs. GLEAM vs. MOD16), the order of best to worst is GLEAM, GLDAS, MOD16, and flux tower for CFK (GLDAS> GLEAM>MOD16>flux tower for SMK). Since the error variance and correlation coefficients of the flux tower show relatively worse performance in TC analysis than the other products, By applying TC method to three products (GLDAS vs. GLEAM vs. MOD16), the uncertainty of each dataset were evaluated at the Korean Peninsula, As a results, the GLDAS and GLEAM performed reasonable performance (low error variance and high correlation coefficient), whereas results of MOD16 showed high error variance and low correlation coefficient at the cropland.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.4
• /
• pp.157-163
• /
• 2020

The purpose of this study is to explore the impact of Union-Pay mobile payments on user viscosity from the perspective of service quality and brand personality. In the future, it is meaningful for CUP to obtain a stable and loyal user group in China's mobile payment market. This study uses SPSS22.0 and AMOS statistical analysis tools to conduct empirical research. In this case, this study uses mobile service quality and The brand personality is the independent variable, and the user's viscosity is the dependent variable, which studies the impact on the user's viscosity in the context of China Union-Pay mobile payment. the study. According to the analysis results, the research goal: service quality has a significant positive correlation effect on user perceived value; service quality has a significant positive correlation effect on user viscosity; perceived value has significant positive correlation effect on user viscosity; brand personality to user Viscosity has a significant positive correlation effect; brand personality has a significant positive correlation effect on user perceived value. Through this research, we can make Suggestions on the industrial development of mobile payment enterprises and provide better opinions on the development of mobile payment.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.388-391
• /
• 2005

The characteristics of the total ozone variations measured by the ground-based Brewer Ozone Spectrophotometer and the Total Ozone Mapping Spectrometer (TOMS) over Pohang are statistically examined from January 1994 to December 2004. First of all, in the correlation analysis of the total ozone measured from the Brewer Ozone Spectrophotometer and the TOMS, the correlation coefficient was 0.88 and the used data were 2190. The annual mean value of the total ozone is 311 DU with the standard deviation of 13 DU. The maximum and the minimum value were found in March (343 DU) and in September (282 DU), respectively. It was also revealed that the longest seasonal variation is in Spring (341 DU) and the smallest is in Autumn (283 DU). The time series data of the total ozone indicates that the annual variation is significant and the variations for three months and six months are relatively weak. Finally, the annual mean total ozones in Pohang (Brewer), Seoul (Brewer) and Busan (TOMS) are 312 DU, 324 DU and 304 DU, respectively.

• Journal of Astronomy and Space Sciences
• /
• v.27 no.2
• /
• pp.117-122
• /
• 2010

An ionospheric error simulation is needed for creating precise Global Positioning System (GPS) signal using GPS simulator. In this paper we developed Klobuchar coefficients n ${\alpha}_n$ and ${\beta}_n$ (n = 1, 2, 3, 4) generation algorithms for simulator and verified accuracy of the algorithm. The algorithm extract those Klobuchar coefficients from broadcast (BRDC) messages provided by International GNSS Service during three years from 2006 through 2008 and curve-fit them with sinusoidal and linear functions or constant. The generated coefficients from our developed algorithms are referred to as MODL coefficients, while those coefficients from BRDC messages are named as BRDC coefficients. The maximum correlation coefficient between MODL and BRDC coefficients was found for ${\alpha}_2$ and the value was 0.94. On the other hand, the minimum correlation was 0.64 for the case of ${\alpha}_1$. We estimated vertical total electron content using the Klobuchar model with MODL coefficients, and compared the result with those from the BRDC model and global ionosphere maps. As a result, the maximum RMS was 3.92 and 7.90 TECU, respectively.

• Journal of Distribution Science
• /
• v.11 no.11
• /
• pp.49-55
• /
• 2013

Purpose - This study examined the effects of susceptibility to global consumer culture (SGCC) on the brand attitude of consumers of the global SPA brand in South Korea. Research Design, Data, and Methodology -Questionnaires were used, and the sample that was extracted by the convenience sampling method comprised 703 males and females, aged 20-36. The data were analyzed with SPSS 16.0 and Amos 5.0 for frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation modeling analysis. Results - First, conformity to consumption trends was found to have a significant effect on all four variables of SPA brand attitude (brand favorability, uniqueness, ethicality, and economic utility). Second, quality perception was found to have a significant effect on brand favorability, uniqueness, ethicality, and economic utility. Third, social prestige was found to have a positive effect on uniqueness. Conclusions - The results show that consumers' susceptibility to global culture is a significant factor in their attitude to the global SPA brand. Therefore, it would be more effective if the global SPA brand develops recognition among consumers that its products play a role in sharing new trends and global lifestyles.

• Journal of Distribution Science
• /
• v.19 no.12
• /
• pp.83-89
• /
• 2021

Purpose: Purpose of this study is to empirically analyze influence of global competitive capability on global performance of distribution industry in South Korea. Also based on the empirical results, give managerial implication to distribution industry and contribute to academies of management. Research design, data and methodology: This study focuses on relationship analysis between global competitive capability and global performance. This study measured global competitive capability with three concepts; human capability, network capability and product/service capability. And measured global performance with export performance. To empirically analyze relationship between variables, this study used 2,316 data of GCL Test by KOTRA and Kdata. This study used SPSS26 and analyzed frequency, reliability, correlation and stepwise regression analysis. Results: Result shows that, in control variable, business period and business field give significant positive influence on export performance. Among antecedents, human capability and network capability give significant positive influence on export performance. However, product/goods/service was not significant. Due to significant influence of business field which is categorical variable. This study additionally analyze relationship by business field group to confirm whether relationship differ by group or similar. Conclusions: Based on the results, this study try to give implication to distribution industry management and contribute to academic.

• Atmosphere
• /
• v.27 no.2
• /
• pp.163-175
• /
• 2017

The global terrestrial ecosystems have shown a large spatial variability in recent decades and represented a carbon sink pattern at mid-to-high latitude in Northern Hemisphere. However, there are many uncertainties in magnitude and spatial distribution of terrestrial carbon fluxes due to the effect of climate factors. So, it needs to accurately understand the spatio-temporal variations on carbon exchange flux with climate. This study focused on the effects of climate factors, .i.e. temperature, precipitation, and solar radiation, to terrestrial biosphere carbon flux. We used the terrestrial carbon flux that is simulated by a CarbonTracker, which performs data assimilation of global atmospheric $CO_2$ mole fraction measurements. We demonstrated significant interactions between Net Ecosystem Production (NEP) and climate factors by using the partial correlation analysis. NEP showed positive correlation with temperature at mid-to-high latitude in Northern Hemisphere but showed negative correlation pattern at $0-30^{\circ}N$. Also, NEP represented mostly negative correlation with precipitation at $60^{\circ}S-30^{\circ}N$. Solar radiation affected NEP positively at all latitudes and percentage of positive correlation at tropical regions was relatively lower than other latitudes. Spring and summer warming had potentially positive effect on NEP in Northern Hemisphere. On the other hand as increasing the temperature in autumn, NEP was largely reduced in most northern terrestrial ecosystems. The NEP variability that depends on climate factors also differently represented with the type of vegetation. Especially in crop regions, land carbon sinks had positive correlation with temperature but showed negative correlation with precipitation.

• Phonetics and Speech Sciences
• /
• v.1 no.1
• /
• pp.69-73
• /
• 2009

This paper proposes an efficient global covariance-based principal component analysis (GCPCA) for speaker identification. Principal component analysis (PCA) is a feature extraction method which reduces the dimension of the feature vectors and the correlation among the feature vectors by projecting the original feature space into a small subspace through a transformation. However, it requires a larger amount of training data when performing PCA to find the eigenvalue and eigenvector matrix using the full covariance matrix by each speaker. The proposed method first calculates the global covariance matrix using training data of all speakers. It then finds the eigenvalue matrix and the corresponding eigenvector matrix from the global covariance matrix. Compared to conventional PCA and Gaussian mixture model (GMM) methods, the proposed method shows better performance while requiring less storage space and complexity in speaker identification.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.25 no.2
• /
• pp.111-117
• /
• 2020

The photovoltaic module has the characteristic that the output power varies according to the amount of insolation. If partial shading occurs in an environment composed of an array, a number of local maximum power points (LMPPs) may be generated according to the shading state. Photovoltaic arrays require global maximum power point tracking due to variations in output characteristics caused by solar radiation and temperature. Conventional algorithms, such as P&O and Incond, do not follow the global maximum power point in a partial shaded solar array. In this study, we propose a technique to follow the global maximum power point by using the correlation of voltage, current, and power in solar arrays. The proposed control technique 2qw validated through simulation and experiments by constructing a 2-kW solar system.

• Journal of Distribution Science
• /
• v.20 no.2
• /
• pp.101-108
• /
• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.