• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.343-346
• /
• 2002

Toward more accurate determination of the water cycle in association with climate variability and change as well as baseline data on the impacts of this variability on water resources, the Coordinated Enhanced Observing Period (CEOP) was launched on July 1,2001. The preliminary data period, EOP-1, was implemented from July to September in 2001. The first annual enhanced observing period, EOP-3, is going to start on October 1,2002. CEOP is seeking to achieve a database of common measurements from both in situ and satellite remote sensing, model output, and four-dimensional data analyses (4DDA; including global and regional reanalyses) for a specified period. In this context a number of carefully selected reference stations are linked closely with the existing network of observing sites involved in the GEWEX Continental Scale Experiments, which are distributed across the world. The initial step of CEOP is to develop a pilot global hydro-climatological dataset with global consistency under the climate variability that can be used to help validate satellite hydrology products and evaluate, develop and eventually predict water and energy cycle processes in global and regional models. Based on the dataset, we will address the studies on the inter-comparison and inter-connectivity of the monsoon systems and regional water and energy budget, and a path to down-scaling from the global climate to local water resources, as the second step.

• 유통과학연구
• /
• 제12권10호
• /
• pp.11-17
• /
• 2014

Purpose - The purpose of this study is to investigate the relationship that is found to exist between the technology-based self-service convenience orientation factor and the factors of convenience and quality. Research design, data, and methodology - The questionnaire was developed by using the modified and supplementary questions that were examined in previous studies. We used the SPSS/PC 18.0 and lisrel 8.3 statistical packages to analyze the results of the research. For validating the research hypothesis and structural relationship of the research model, path analysis was used in this study. Results - The ease of use exerted a significant influence on the four dimensions. Information had a significant influence on transaction, benefit, and post-benefit convenience. Control had a significant influence on five dimensions. Conclusions - This study suggests that technology-based self-service convenience is classified into five multi-dimensional levels. Further, the study reveals that control, ease of use, and information are important variables in order to increase convenience. Therefore, for improving technology-based self-service convenience, it is important to improve the control, ease of use, and information variables.

• Tribology and Lubricants
• /
• 제30권1호
• /
• pp.15-20
• /
• 2014

A more accurate expression for effective viscosity is obtained using a linear regression of the data from Fukui-Kaneko's model, which are obtained through numerical calculations based on the linearized Boltzmann equation. Veijola and Turowski's expression is adopted as a base function for effective viscosity. The four coefficients in that equation are optimized, and sensitivity analysis is conducted for these coefficients. The results show that the coefficient for the first-order Knudsen number is the most accurate, whereas the coefficient in the exponential of the Knudsen number is the least accurate compared with Fukui-Kaneko's results. The expression for effective viscosity is accurate within 0.02% rms of Fukui-Kaneko's results for the inverse Knudsen numbers from 0.01 to 100 and surface accommodation coefficients ranging from 0.7 to 1.

• 가정과삶의질연구
• /
• 제11권1호
• /
• pp.119-133
• /
• 1993

Based on the Double ABCX model of family stress and adaptation this study was to investi-gate the intercorrelations among and the relative magnitutide of variables associated with diffe-rent levels of adaptation to conflict with mothers-in-law reported by daughter-in-law. Frequency of conflict was selected as a stressor(aA) Resource factor(bB) in this study was self-efficacy. Four types of blame(self-behavior self-character other people and impersonal world blame) were selected as perception factors(cC). The adaptation factors(xX) were the level of daughter-in-law's psychological well-being and marital adjustment. Data for this research were questionnaire responses from 151 daughters-in-law who lived in Seoul. The results of correlational analyses indicated that most variables were significantly correlated with each other. In addition results of the path analysis on daughter-in-law's psychological well-being indicated that higher scores on the psychological well-being were significantly associa-ted with(a) greater self-behavior blame for the conflict and (b) less ascription of blame to the impersonal world. Frequency of conflict influenced psychological well-being indirectly th-rough self-behavior blame and impersonal blame both of which were also found to mediate the effect of self-efficacy on the level of psychological well-being. However although all indepen-dent variables were significantly correlated with marital adjustment no variables had direct effects on marital adjustment.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권10호
• /
• pp.855-863
• /
• 2020

The purpose of this study is to investigate the impacts of two different kinds of interactivity, such as user-to-user and user-to-media interaction, on the relationship between SNS motivation and online word of mouth (WOM). An online survey was conducted with SNS users in Korea. Using the convenience-sampling method, 300 surveys were collected and 295 were used in the actual analysis after excluding data with careless responses or missing values. Hypotheses were tested using Structure Equation Model (SEM) and path analysis by using AMOS22. The results indicate that four different SNS motivations (self-expression, relational, fun, and browsing motivation) have a partially significant positive effect on perceived user-to-user and user-to-media interaction in SNS. Although both user-to-user interactivity and user-to-media interactivity were found to have a significant effect on online word of mouth, by comparing the standardized regression coefficients in these relationships, it was found that user-to-user interactivity has a greater effect on online WOM than user-to-media interactivity. These results show that the motivated SNS users want to express their desire to communicate with other users in contrast than their desire to learn media functions when motivated SNS users reveal their personalities, knowledge, and abilities. Theoretical and managerial implications are discussed.

• 한국철도학회논문집
• /
• 제14권1호
• /
• pp.39-48
• /
• 2011

본 논문에서는 열차가 주행할 때 궤도를 통해 전달되는 진동크기가 구조물의 안전성뿐 만아니라 선로 인근주민, 가축 및 건물에게 미치는 영향을 최소화하기 위해 규정된 진동한계범위에 도달하는 가를 다양한 지반과 궤도구조물의 상호작용에 의한 3D 수치해석을 통해 정확히 예측하고 다양한 지반에 적절한 진동저감을 가져오는 궤도의 단면 및 형태를 결정하는 방법에도 이결과를 사전에 활용할 수 있도록 하였다. 예로서 열차운행으로 인해 발생되는 터널, 성토 및 교량 3종류의 서로 다른 시설물의 진동을 지반-구조물의 상호작용에 의한 3D수치해석을 통해 Spec과 비교분석하여 평가하였으며 주변 환경에 적합한 토층의 변화를 통해 진동저감방법의 한예를 수행하였다.

• 한국의상디자인학회지
• /
• 제15권1호
• /
• pp.111-121
• /
• 2013

The purpose of this study is to investigate the effect of interactivity on consumer's affective commitment, trust, and repurchase intention according to fashion involvement and internet familiarity. The survey was limited to the respondents over 20 years old males and females living in Seoul and other metropolitan areas who had purchased fashion products in internet shopping mall. The questionnaire was collected from February 1, 2012 to February 12, 2012 and 562 useful data were analyzed using Amos 19. The results of this study were as follows: After respondents were divided into four groups including the high fashion involvement/high internet familiarity group, the high fashion involvement/low internet familiarity group, the low fashion involvement/high internet familiarity group, the low fashion involvement/low internet familiarity group, the path model was verified according to each group. All the paths except 'affective commitment ${\rightarrow}$ repurchase intention' were accepted for the high fashion involvement/high internet familiarity group. Comparing the low fashion involvement/low internet familiarity group with the low fashion involvement/high internet familiarity group, contents-people interactivity had more influence on the relationship with internet shopping mall in high internet familiarity group while people-people interactivity had more influence on the relationship with internet shopping mall in low internet familiarity group. Also 'trust' showed stronger effects on repurchase intention than 'affective commitment'.

• Nuclear Engineering and Technology
• /
• 제49권6호
• /
• pp.1165-1171
• /
• 2017

The traditional form of parallelism in Monte Carlo particle transport simulations, wherein each individual particle history is considered a unit of work, does not lend itself well to data-level parallelism. Event-based algorithms, which were originally used for simulations on vector processors, may offer a path toward better utilizing data-level parallelism in modern computer architectures. In this study, a simple model is developed for estimating the efficiency of the event-based particle transport algorithm under two sets of assumptions. Data collected from simulations of four reactor problems using OpenMC was then used in conjunction with the models to calculate the speedup due to vectorization as a function of the size of the particle bank and the vector width. When each event type is assumed to have constant execution time, the achievable speedup is directly related to the particle bank size. We observed that the bank size generally needs to be at least 20 times greater than vector size to achieve vector efficiency greater than 90%. When the execution times for events are allowed to vary, the vector speedup is also limited by differences in the execution time for events being carried out in a single event-iteration.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권7호
• /
• pp.333-339
• /
• 2021

The study seeks to identify the determinants of the adoption of e-commerce by small and medium-sized enterprises (SMEs) in developing countries, in our case, in Indonesia. The aim of this study is to examine the factors influencing e-commerce adoption. This study uses the method of quantitative data collection based on a questionnaire survey of SMEs in Indonesia. The research relies on Regional Project stipulations regarding Business Development in Indonesia, to capture businesses with a range of 5 to 100 employees that are classified as SMEs. This study randomly chose 100 SMEs in Indonesia from the IndoNetwork database. Partial least square (PLS) structural model data processing was used for path coefficients analysis. Structural equation modeling is applied in this study to analyze the determinant factors on the e-commerce adoption. The study findings reveal that four factors, namely, perceived benefits, compatibility, technology readiness, and government support, significantly influence the adoption of e-commerce, whereas customer/supplier pressure does not have influence. So, this study concludes that perceived benefits, compatibility, technology readiness, and government support had a significant and positive relationship with e-commerce adoption. Meanwhile, customer/supplier pressure had no effect on the e-commerce adoption of by Indonesia SMEs.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권2호
• /
• pp.121-131
• /
• 2022

The goal of the study was to see how quality management (QMA), strategy (STR), and innovative capability (INC) influence the competitive advantage of a Thai information communication technology (ICT) firm (COA). The researchers collected 431 surveys from Thailand's owners and managers employed in ICT enterprises from the beginning of June 2021 to the end of September 2021using diverse sample strategies. A questionnaire with an index of item-objective congruence (IOC) value of 0.60-1.00 and a reliability value of 0.92-0.96 was used as the research tool. Participants in the survey were requested to fill out a seven-level opinion survey posted on Google Forms. A latent variable structural equation model (SEM) path analysis using LISREL 9.1 was used for the four latent variables, 31 manifest variables, and the five hypotheses testing. The analysis showed that all three causal variables positively affected COA, which had a total effect (TE) R² value = 80% when combined with the other latent variables. Moreover, the values for the latent variables when ranked by total effect (TE) were STR, QMA, and INC with TE values of 0.95, 0.89, and 0.25, respectively. Finally, there were very strong influences from COA to STR (0.95), INC to QMA (0.86), and STR to QMA (0.71).