• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.4B
• /
• pp.383-392
• /
• 2008

It is not always easy to estimate the parameters in hydrologic models due to insufficient hydrologic data when hydraulic structures are designed or water resources plan are established. Therefore, uncertainty analysis are inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. The NWS-PC model is calibrated against observed daily runoff, and thirteen parameters in the model are optimized as well as posterior distributions associated with each parameter are derived. The Bayesian Markov Chain Monte Carlo shows a improved result in terms of statistical performance measures and graphical examination. The patterns of runoff can be influenced by various factors and the Bayesian approaches are capable of translating the uncertainties into parameter uncertainties. One could provide against an unexpected runoff event by utilizing information driven by Bayesian methods. Therefore, the rainfall-runoff analysis coupled with the uncertainty analysis can give us an insight in evaluating flood risk and dam size in a reasonable way.

• Information Systems Review
• /
• v.8 no.1
• /
• pp.203-222
• /
• 2006

The chronic problems of Information System Outsourcing Development Project include frequent changes in the participants and their roles, and the evasion of project participation, which exert unfavorable influence to the outcome of the project. Such problems are due, in large part, to the low level of project participants' satisfaction in the project. However, little is known about the factors that influence project participants' satisfaction in the project development. This research identifies six potential factors such as project commitment, workload, control, communication within the organization, inter-organization communication, and system development methodology based on PMI(Project Management Institute) and empirically examines their efficacy in explaining the level of participants' satisfaction in the IS development projects based on data from 390 participants in 66 projects. The results indicate that the six factors are strong determinants of participants' satisfaction in system development projects. In other words, the level of satisfaction among project participants overall are largely influenced by project commitment and control, communication, project methodology. Especially, the results reveal that the level of satisfaction among participants from the vendor decreased largely by unrealistic project commitment, frequent changes in project planning and unreasonable control rather than by a significant amount of workload. In conclusion, there need to be a rational approach and solution based on the six factors presented in this research in order to increase participation satisfaction level of the project participants and ultimately enhance project outcome.

• Korean Journal of Construction Engineering and Management
• /
• v.17 no.5
• /
• pp.22-34
• /
• 2016

The Project Delivery System (PDS) is used in mixed way without clear classification from tendering system and the standard itself that can be selected is set with project budget or estimated cost only. Essentially, the PDS should consider and reflect project characteristics and types, internal and external factors for the purpose of improving the lives of citizens and their welfare. However, the current status is not operated flexibly due to the given budget, period and uniform laws and regulations. In order to solve this problem, this study suggests a Decision Support Model to select the optimal PDS for public construction projects. The current problem of the PDS for public construction projects were identified and the application of a decision support model was proposed. Subsequently a decision-making model was suggested for each PDS using the identified factors and linear discriminant function of discriminant analysis. An additional questionnaire survey and actual practical case analysis were carried out to verify the effectiveness and applicability of the model to actual work. It can be used by adjusting the decision support model and detailed factors according to the specific characteristics of public organization, ability of person in charge and project type.

• Journal of Korean society of Dental Hygiene
• /
• v.21 no.4
• /
• pp.357-366
• /
• 2021

Objectives: The objectives of this study were to verify the level of ethical consciousness and decision-making of dental hygiene students in pandemic as coronavirus disease 2019 (COVID-19). Methods: This study included 249 college students who were interested in new infectious diseases. They completed a questionnaire on a 5-point scale, and data were analyzed by independent t-test, ANOVA, and correlation. Results: The perception of COVID-19 was moderate at 3.42 points. This was higher among males, first graders, emergency management students, those who received education and experienced self-quarantine. The level of ethical consciousness was moderate (3.89 points), which was higher in sophomores, emergency management students. Ethical decision-making was moderate, with a score of 3.44, and was higher in those with first grade, field practice training, and self-quarantine experience. The level of perception positively correlated with ethical consciousness (α=0.310, p<0.01). In addition, as the degree of ethical consciousness increased, the degree of decision-making also increased (α=0.539, p<0.01). Conclusions: In a crisis, involving the spread of COVID-19, providing prospective dental hygienists accurate information and an experience similar to that faced by patient is necessary for raising the level of ethical consciousness and decision-making.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.45-51
• /
• 2009

In this paper, a transparency analysis and network-adaptive transport scheme are proposed in order to improve transparency of EBA-based force-reflecting teleoperation. EBA guarantees stability of force-reflecting teleoperation over network delay and loss but has limitation that it cannot overcome transparency deterioration of haptic interactions. The proposed transparency analysis quantifies the force feedback distortion caused by network delay and loss. Based on the analysis, the proposed haptic data synchronization and transmission rate control schemes adapt synchronization delay and transmission rate to current network state for more transparent haptic interaction. Through Matlab/Simulink simulations, it is confirmed that the proposed analysis provides an acceptable quantification method about haptic interaction quality and that the proposed haptic data transport scheme effectively improves haptic interaction quality with respect to network delays and losses.

• Korean Journal of Culture and Social Issue
• /
• v.18 no.3
• /
• pp.349-366
• /
• 2012

The importance of helping behavior in our society has been increasing and this study aimed to find the practical strategies to increase helping behaviors with minorities and general public in our communities. Participants(N=156) were randomly assigned to respond to a scenario which measured the intention to help either foreign workers or general public. Also, participants were given the scale of fairness and empathy to respond. The findings of this study demonstrated that (1) empathy and fairness had main effect of the intention to help other persons and empathy and different targets in the unfair perception had interactional effect; (2) the intention to help foreign workers was positively related to fairness and the intention to help general public was affected by empathy. The results showed that according to the perceived unfairness in helping behavior situations, the role of fairness which empathy did not explain was founded. These findings suggest that empathy and fairness in helping behavior are complementary to each other.

• Journal of Convergence for Information Technology
• /
• v.10 no.11
• /
• pp.302-312
• /
• 2020

This study examined whether there is a difference in cost asymmetry between a corporate listed on KOSDAQ and a corporate listed on KOSPI, and whether there is a difference in cost asymmetry depending on the size of the listed corporate. In the previous study, cost asymmetry was examined only for listed corporate, but the difference in size between KOSDAQ-listed corporate and KOSPI-listed corporate was not examined. However, according to many studies, since the characteristics of corporate and firm risks are different between corporate listed on KOSPI and corporate listed on KOSDAQ, or even for listed corporate, such an impact may affect the decision-making of internal resource allocation. The analysis was conducted that there would be a difference in the impact. For this study, the results of analyzing the KOSPI and KOSDAQ markets from 2011 to 2019 using the cost behavior model of Anderson et al. (2003), There was a difference in cost behavior in the KOSPI and KOSDAQ markets. Overall, as in previous studies, Cost Stickiness was appeared. but in the case of the KOSPI market, Cost Stickiness was mitigated.It was found that corporate with large corporate size made the decision to dispose of idle resources more clearly when sales decreased. In addition, it was observed that the higher the foreign investor's ownership ratio, the KOSPI market, and the larger the corporate size, the more clearly the Stickiness of cost was mitigated. This study expands research on cost asymmetry and reveals that there is a difference between the KOSPI market and the KOSDAQ market, and between the size of the corporate, and has a differentiation from previous studies.

• Knowledge Management Research
• /
• v.22 no.1
• /
• pp.243-267
• /
• 2021

Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

• Korean journal of communication and information
• /
• v.74
• /
• pp.72-108
• /
• 2015

The more mobile technology evolves, the more users are trapped in mobile technology by being encouraging the replacement with state-of-the-art technology. However, the use of device is not entirely determined by technology's attributes itself. The meaning of smartness can be varied by 'how users accept and perceive immediate spatial perception from reality to mobile space' without recognizing the boundaries between them. This study focuses on the analysis of 'smart usage' for smartphone and this is verified the concept of 'smart usage' by the second-order measurement model. The result show that the concept organization of 'smart usage' had been differentiated and elicited by the six factors - 'multifunctional use readiness', 'administrative efficiency', 'embedded media', 'device connectivity', 'user-friendly optimization', and 'external connectivity(being connected). According to the conceptual factors, 'smart usage' can be explained in an individual's autonomous ability to control a mobile interface and to utilize a wide range of applications of smartphones.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.36 no.8
• /
• pp.921-927
• /
• 2012

Reliability-based design optimization (RBDO) can be used to determine the reliability of a system by means of probabilistic design criteria, i.e., the possibility of failure considering stochastic features of design variables and input parameters. To assure these criteria, various reliability analysis methods have been developed. Most of these methods assume that distribution functions are continuous. However, in real problems, because real data is often discrete in form, it is important to estimate the distributions for discrete information during reliability analysis. In this study, we employ the Akaike information criterion (AIC) method for reliability analysis to determine the best estimated distribution for discrete information and we suggest an RBDO method using AIC. Mathematical and engineering examples are illustrated to verify the proposed method.