• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.101-109
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• 2016

During road construction, minimizing haul and return distances as well as keeping a balance between cut and fill quantities are two of the key tasks for earthmoving operation planning. The result of the earthwork planning has a significant impact on the construction cost and duration. Although there have been research efforts regarding optimized earthwork planning using linear programming, the current practice of selecting earthwork planning methods typically depends on a field manager's intuitive and/or experimental knowledge. Furthermore, there is no system considering earthwork influential field factors including the transportation distance, the earthwork quantity, and the recycling ratio of earth volume. Therefore, this research focuses on the development of such a model for planning the optimized earthwork to increase the efficiency of a road construction. The proposed model is developed based upon the transportation problem method which is a part of Linear Programming. The application result of optimization model on a case study shows that the duration and cost for earthwork ha sbeen reduced approximately 19% and 11% respectively

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.499-508
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• 2015

The purpose of this paper is to examine the structural relationship between experience(4Es), customer commitment and behavioral intention based on experience of the theme park as a hedonic destination. To carry out this study objective, a survey targeted for theme park customers was conducted from May 10. 2014 to June 10. 2014. These data were processed using SPSS 18.0 and Structural Equation Modeling with Amos 18.0 to test proposed hypotheses. The results are summarized as followed. First, the decomposition of path analysis revealed significant positive effects on customer commitment by entertainment experience, education experience, esthetic experience. and escape experience. While, entertainment experience was shown to have the largest influence on customer commitment. Second, customer commitment had a positive effect on revisit intention and WOM. Third, experiences have an indirect influence on revisit intention and WOM through the mediation of commitment. From the findings, the theme park is necessary to plan and develop experience program for more variable and special.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1454-1469
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• 2010

Brands have their own life cycles and exert a great influence on the marketing activities of companies. This study examines the marketing activities according to a brand life cycle and measures the scope of their performances. The research divides a fashion brand life cycle into three stages through the analysis of secondary data, and validates the causal relationship between marketing activities, brand equity, and consumer behavior according to the brand life cycle. A total of 573 responses were analyzed through a factor analysis, path analysis, and paired t-test with SPSS 12.0. The results are as follows: According to the analysis of the relationship between marketing mix and brand equity, distribution strategies are effective at the introduction/growth stage and the continuation stage. Advertisement strategies should be a main focus at the maturity stage for brand awareness. Throughout all the stages, product strategies wield the greatest influence on the brand image. Among brand equity components, the brand image has an influence on consumer behavior at every stage of the cycle while the brand awareness has no significant effect on consumer behavior. The marketing mix component that has the greatest impact on consumer behavior is product. Contrary to general expectations, price has a negative or insignificant effect on consumer behavior at every stage of the cycle. The results illustrated in this study help to understand the life cycle of fashion brands and characteristics different from consumer goods. Thus, fashion companies should identify at which stage their brands are positioned and develop different strategies to fit each stage.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.30 no.7
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• pp.51-60
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• 2002

The Monte-Carlo simulation of statistical analysis is used to investigate the final conditions of states as well as the footprint boundaries resulting from the atmospheric re-entry dispersions. The re-entry dispersions in this paper are specified by a $7\times7$ covariance matrix of latitude, longitude, altitude, bank angle, flight path angle, heading error, and range at entry velocity. The error sources that affect these at re-entry for a deboost are the uncertainties associated with atmospheric density and temperature, initial errors, wind, and estimation error of aerodynamic coefficients. Using $3{\sigma}_n$ deviations of these errors and a nominal flight trajectory, the covariance matrix of state variables can be determined by performing a trajectory error analysis. Major considerations in the application of the Monte-Carlo method are the simulation of perturbed trajectories, bank reversal, and determination of the impact points for each of these trajectories. This paper analyzes the results of uncertainties from the viewpoint of aero-coefficients and bank reversal.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3335-3356
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• 2015

In this paper, we analyze the connectivity of cognitive radio ad-hoc networks in a log-normal shadow fading environment. Considering secondary user and primary user's locations and primary user's active state are randomly distributed according to a homogeneous Poisson process and taking into account the spectrum sensing efficiency of secondary user, we derive mathematical models to investigate the connectivity of cognitive radio ad-hoc networks in three aspects and compare with the connectivity of ad-hoc networks. First, from the viewpoint of a secondary user, we study the communication probability of that secondary user. Second, we examine the possibility that two secondary users can establish a direct communication link between them. Finally, we extend to the case of finding the probability that two arbitrary secondary users can communicate via multi-hop path. We verify the correctness of our analytical approach by comparing with simulations. The numerical results show that in cognitive radio ad-hoc networks, high fading variance helps to remarkably improve connectivity behavior in the same condition of secondary user's density and primary user's average active rate. Furthermore, the impact of shadowing on wireless connection probability dominates that of primary user's average active rate. Finally, the spectrum sensing efficiency of secondary user significantly impacts the connectivity features. The analysis in this paper provides an efficient way for system designers to characterize and optimize the connectivity of cognitive radio ad-hoc networks in practical wireless environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.9A
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• pp.758-766
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• 2011

Cooperative communications are adopted as a promising solution to achieve high data rate over large areas in the future 40 wireless system and the relay station (RS) is the key concept in cooperative communications. However, most existing works in this area focus only on optimal RS selections. In addition, there are only few works consider another crucial issue: how many relay stations we need to place. Only when the number of relay stations is defined, the relay station selection can be performed well. In this paper we derive a formula which describes the impact of varying number of RS on end-to-end link throughput assuming a clustering scheme which is based on Voronoi tessellation. In addition to mathematical analysis on the feasibility of the formula, we also examine its performance through a set of simulations under the Erceg path loss model. Simulation results verify that the link throughput gain of our proposed scheme is promising.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.199-208
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• 2020

The purpose of this study is to analyze the influence of career support and teacher relations of parents in order to determine the career determination of multicultural youths, and to confirm the influence of career preparation between parental career and care support and teacher relations. To this end, data from 2017 (the 7th year) was used among the data from the Multicultural Youth Panel Survey (MAPS). According to the analysis results, first, career support, teacher relations, and career preparation of multicultural youth parents have a positive impact on career determination. Second, the importance of the relative influence of career preparation, which is an internal context factor, was also confirmed in the process of determining the career path of multicultural youths. Third, it was analyzed that the higher the career and childcare support of multicultural youth parents, the more positive the teacher relationship, the higher the career determination. Career preparation was confirmed to play a role in mediating career support and teacher relations among multicultural youth parents in determining career paths. Based on the results of this analysis, practical alternatives were proposed to enhance the career determination of multicultural youths.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.425-430
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• 2016

The goal of this study is to explore the factors that influence on intention to use UHDTV Service. Research problems has been designed to Structural equation model by Technology Acceptance Model. The Perceived quality, Price sensitivity, Innovativeness are adopted as independent variables. And Perceived usefulness, Perceived ease of use are adopted as intervening variables. A result of analysis, Perceived quality and Price sensitivity influenced the Intention to use via Perceived usefulness and Perceived ease of use. But in case of Innovativeness, it did not influence the Perceived usefulness while it influenced the Perceived ease of use. Meanwhile, the influence of Perceived quality to Perceived usefulness had more impact than the other path between the other factors.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.259-273
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• 2008

This study aims to identify of customer features control the effect on revisit intention and switching intention. The statistical techniques used for this empirical analysis are frequency analysis, technology analysis, reliability analysis, factor analysis, confirmatory factor analysis along with path analysis and moderate regression analysis, which are based on structural model From the effect that customer features control the effect on switching barrier by switching intention, travel agencies has a control effect on 'financial switching costs' and 'relational switching costs', and airlines show they have control effect on 'relational switching costs.' In diversity pursuit factors, 'financial switching costs' and 'attractiveness of alternatives' have a meaningful control effect for travel agencies customers, while 'procedural switching costs' for airlines customers. In the analysis result of the effect that customer features control the effect on revisit intention by switching intention, 'percept' and 'diversity pursuit' have a meaningful control effect in travel agencies customers and airlines one, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.893-904
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• 2020

The study examines the relationship between credit risk and operational risk (understanding of risk management, risk identification, risk assessment and control, and risk monitoring) on risk management practices followed by private and public sector commercial banks. The cross-sectional data method was used to check the impact of risk management practices. Data was collected from the bank employees and a total of 284 respondents were finally selected for further analysis. Measurement Invariance of Composite Models analysis is used to test the quality of the measurement model for sub-samples, and multi-group analysis is used for path analysis in sub-sample through PLS-SEM. The findings of the study as the total sample show that both types of banks are managing adequate and significant risk management practices. On the other hand, sub-groups' results show private sector banks are more momentous than public sector banks. Risk identification is significantly different at the sub-group level, which shows public sector banks are more concentrating on this type of risk. Understanding of risk management has no significant effect on both types of banks and risk assessment & control for public sector banks, and there is a difference in the risk management practices among private and public sector commercial banks.