• Korean Journal of Organic Agriculture
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• v.26 no.2
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• pp.203-216
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• 2018

Product familiarity is vital to assess the purchase intention of consumers. In this study, a conceptual model was proposed to investigate the relationship among organic products familiarity, perceived value (measured by quality, emotional, price and social dimensions), and the purchase intention of students. The model was empirically tested using questionnaire survey data collected from 235 university students. The results reveal that organic products familiarity is positively associated with quality, emotional value, price value and social value. On the other hand, emotional value, price value and social value is also positively associated with purchase intention whereas quality shows insignificant relationship with purchase intention. Overall, the result shows students have positive outlook about their intention to purchase organic products.

• Communications for Statistical Applications and Methods
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• v.4 no.1
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• pp.259-269
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• 1997

Bayesian inference for a record value statistics(RVS) model of nonhomogeneous Poisson process is considered. We seal with Bayesian inference for double exponential, Gamma, Rayleigh, Gumble RVS models using Gibbs sampling and Metropolis algorithm and also explore Bayesian computation and model selection.

• The Korean Journal of Financial Management
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• v.22 no.1
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• pp.119-146
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• 2005

This study applies extreme value theory to get extreme value-VAR for Korean Stock market and showed the usefulness of the approach. Block maxima model and POT model were used as extreme value models and tested which model was more appropriate through back testing. It was shown that the block maxima model was unstable as the variation of the estimate was very large depending on the confidence level and the magnitude of the estimates depended largely on the block size. This shows that block maxima model was not appropriate for Korean Stock market. On the other hand POT model was relatively stable even though extreme value VAR depended on the selection of the critical value. Back test also showed VAR showed a better result than delta VAR above 97.5% confidence level. POT model performs better the higher the confidence level, which suggests that POT model is useful as a risk management tool especially for VAR estimates with a confidence level higher than 99%. This study picks up the right tail and left tail of the return distribution and estimates the EVT-VAR for each, which reflects the asymmetry of the return distribution of the Korean Stock market.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.254-264
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• 2005

In this paper, an advanced E-Model was proposed in order to overcome disadvantages of conventional method. A new model makes the accurate VoIP call quality assessment possible by applying the burst packet loss and recency effect. In order to assess the performance of this advanced E-Model, we gained the estimated MOS value from NR(Network R) value and UR(User R) value resulted from the burst packet loss values by Gilbert Model. Through simulations and comparisons with conventional models such as MOS, PESQ, and I-Model, we reach a conclusion that advanced E-Model is more accurate and reliable method than conventional models.

• Journal of the Korean Mathematical Society
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• v.43 no.3
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• pp.623-634
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• 2006

Various methods have been studied to construct a fuzzy regression model in order to present a fuzzy relation between a dependent variable and an independent variable. However, in the fuzzy regression analysis the value of the center point of estimated fuzzy output may be either greater than the value of the right endpoint or smaller than the value of the left endpoint. In the case, we cannot predict the fuzzy output properly. This paper presents sufficient conditions to construct the fuzzy regression model using several methods investigated by some authors and then introduces the censored fuzzy regression model using the censored samples to manipulate the problem of crossing of the center and the end points of the estimated fuzzy number. Examples show that the censored fuzzy regression model is an extension of the fuzzy regression model and also it improves the problem of crossing.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.347-352
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• 2005

This paper presents an evaluation model for the performance of Value Engineering Study (VES) for construction projects. The proposed model consists of 6 PEGs and 32 PEIs. The expertise of the proposed model was collected from VE experts in Taiwan using two-phase questionnaire survey. One real-life VES of construction projects was used to demonstrate how the proposed model works. The proposed model not only can be used by project owners to appraise the performance of VES team but also be used by the VES teams to conduct self-diagnosis, improvement, and motivation for achieving better performance. Additionally, the proposed model is capable of: (1) clarifying the defects of VES and avoiding committing same mistakes, (2) assisting inexperience team members to implement VES and catch the critical issues of a VES.

• Structural Monitoring and Maintenance
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• v.10 no.2
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• pp.175-190
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• 2023

This article aims to quantitatively predict the snowmelt in extreme cold regions, considering a combination of grayscale and neural models. The traditional non-equidistant GM(1,1) prediction model is optimized by adjusting the time-distance weight matrix, optimizing the background value of the differential equation and optimizing the initial value of the model, and using the BP neural network for the first. The adjusted ice forecast model has an accuracy of 0.984 and posterior variance and the average forecast error value is 1.46%. Compared with the GM(1,1) and BP network models, the accuracy of the prediction results has been significantly improved, and the quantitative prediction of the ice sheet is more accurate. The monitoring and maintenance of the structure by quantitative prediction model by gray models was clearly demonstrated in the model.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.113-114
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• 2012

With increasing awareness on sustainable construction and green buildings, environment-friendly construction activities have been introduced and promoted. Green value engineering (VE) is an effort that is recently introduced to facilitate environment-friendly construction. To support the application of green VE in construction, this paper suggests a green value assessment model considering the environmental performance and carbon emissions during construction. The value assessment model presented in this study is expected to help conduct objective value evaluation of construction activities in terms of both cost and environmental performance.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.293-298
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• 2005

This paper is a study on the model that measures economic values for the non-market properties of e-Business. For development of this model, first of all, we reviewed the properties of e-Business service, and looked around the relation between customer satisfaction and/or payment value and e-Business properties. In addition, we checked the method to measure economic values of these properties. This measurement method is the contingent valuation method which is a method of measuring the value of the environmental product. We modified it to adapt to the e-Business. Finally, in this paper, we proposed an economic value model which measures the value of willingness to pay(WTP) to our objectives. However, there could be some restrictions at the time when surveying empirically. Therefore, the succeeding study should be done in order to improve these restrictions some day.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.27-46
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• 2007

Korean homenetwork industry is now faced with problems like low profitability and unclear commercialilzation. In particular, low awareness of homenetwork usefulness is one of the main reasons why homenetwork industry is not developed. Therefore, this study tried to find what kinds of characteristics of homenetwork affected the value of apartment and how. we conducted a survey of residents of apartment with homenetwork installed in it. Surveyed data was analyzed based on the model of extended Technology Acceptance Model(TAM) including perceived enjoyment and perceived trust as new factors. The research result showed that all factors involved in suggested model had positive effects on the behavioral intention of using homenetwork and the value of apartment. Most importantly, homenetwork user's behavioral intention increased perceived housing value of the apartment. The research result can be used in explaining the advantage of homenetwork to the residence of apartment as well as in designing the homenwtwork install of apartment.