• Atmosphere
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• v.26 no.4
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• pp.697-709
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• 2016

This study estimates and evaluates the extreme value of 30 m-resolution daily maximum and minimum temperatures over South Korea, using inverse distance weighting (IDW), parameter-elevation regression on independent slopes model (PRISM) and generalized extreme value (GEV) method. The three experiments are designed and performed to find the optimal estimation strategy to obtain extreme value. First experiment (EXP1) applies GEV firstly to automated surface observing system (ASOS) to estimate extreme value and then applies IDW to produce high-resolution extreme values. Second experiment (EXP2) is same as EXP1, but using PRISM to make the high-resolution extreme value instead of IDW. Third experiment (EXP3) firstly applies PRISM to ASOS to produce the high-resolution temperature field, and then applies GEV method to make high resolution extreme value data. By comparing these 3 experiments with extreme values obtained from observation data, we find that EXP3 shows the best performance to estimate extreme values of maximum and minimum temperatures, followed by EXP1 and EXP2. It is revealed that EXP1 and EXP2 have a limitation to estimate the extreme value at each grid point correctly because the extreme values of these experiments with 30 m-resolution are calculated from only 60 extreme values obtained from ASOS. On the other hand, the extreme value of EXP3 is similar to observation compared to others, since EXP3 produces 30m-resolution daily temperature through PRISM, and then applies GEV to that result at each grid point. This result indicates that the quality of statistically produced high-resolution extreme values which are estimated from observation data is different depending on the combination and procedure order of statistical methods.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.303-314
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• 2011

Surface albedo is an important parameter of the surface energy budget, and its accurate quantification is of major interest to the global climate modeling community. Therefore, in this paper, we consider the direct solution of kernel based bidirectional reflectance distribution function (BRDF) models for retrieval of normalized reflectance of high resolution satellite. The BRD effects can be seen in satellite data having a wide swath such as SPOT/VGT (VEGETATION) have sufficient angular sampling, but high resolution satellites are impossible to obtain sufficient angular sampling over a pixel during short period because of their narrow swath scanning when applying semi-empirical model. This gives a difficulty to run BRDF model inferring the reflectance normalization of high resolution satellites. The principal purpose of the study is to estimate normalized reflectance of high resolution satellite (RapidEye) through BRDF components from SPOT/VGT. We use semi-empirical BRDF model to estimated BRDF components from SPOT/VGT and reflectance normalization of RapidEye. This study used SPOT/VGT satellite data acquired in the S1 (daily) data, and within this study is the multispectral sensor RapidEye. Isotropic value such as the normalized reflectance was closely related to the BRDF parameters and the kernels. Also, we show scatter plot of the SPOT/VGT and RapidEye isotropic value relationship. The linear relationship between the two linear regression analysis is performed by using the parameters of SPOTNGT like as isotropic value, geometric value and volumetric scattering value, and the kernel values of RapidEye like as geometric and volumetric scattering kernel Because BRDF parameters are difficult to directly calculate from high resolution satellites, we use to BRDF parameter of SPOT/VGT. Also, we make a decision of weighting for geometric value, volumetric scattering value and error through regression models. As a result, the weighting through linear regression analysis produced good agreement. For all sites, the SPOT/VGT isotropic and RapidEye isotropic values had the high correlation (RMSE, bias), and generally are very consistent.

• Knowledge Management Research
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• v.24 no.3
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• pp.95-125
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• 2023

As the aviation industry has rapidly been grown, there are more factors for customers to consider when choosing an airline. In response, airlines are trying to increase customer value by providing high-quality services and differentiated experiential value. While early customer value research centered on utilitarian value, which is the trade-off between cost and benefit in terms of utility for products and services, the importance of experiential value has recently been emphasized. However, experiential value needs to be studied in a specific context that fully represents customer preferences because what constitutes customer value changes depending on the product or service context. In addition, customer value has an important influence on customers' decision-making, so it is necessary for airlines to accurately understand what constitutes customer value. In this study, we collected customer reviews and ratings from Skytrax, a website specializing in airlines, and utilized the BERTopic technique to derive factors of customer value. The results revealed nine factors that constitute customer value in airlines, and six of them are related to customer satisfaction. This study proposes a new methodology that enables a granular understanding of customer value and provides airlines with specific directions for improving service quality.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.231-236
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• 2006

The purpose of this study is to make realistic analysis of qualitative value for apartment view. This study is conducted in two ways. First, 6 apartment complexes in Daegu metropolitan city are selected as research subject. And then the following 4 activities are made in order: picture-data establishment, declared-price research, market-price research, and survey. Second, realistic analysis of qualitative value included in apartment price is made based on the above data. And then the value is compared with apartment's declared price which is a current tax index. The result shows that the view value included in apartment price is realistically different depending on many variables such as story/side, plot planning of apartment complex, view element, unlike the declared price mainly focused on story.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.175-186
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• 2002

The purpose of this study was to examine the influences of goal-oriented value to the financial management and financial satisfaction of female college students. The samples were selected from 541 female collegians. Data analysed were carried out using SAS package. Statistics used for data analysis was Cronbach'$\alpha$ coefficient, multiple regression, Pearson correlation analysis, and path analysis. The results were summarized as follows : First, resulting from the multiple regression analysis, the goal-oriented value had positive effects to the financial management - planning, implementing, evaluating, and saving - of female collegians. And the goal-oriented value had not indirectly but directly positive effects to the financial satisfaction. Second, the variables that have significant influence on the financial satisfaction were the level of household income, goal-oriented value, implementing, and monthly personal allowance.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.203-212
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• 2010

The mam purpose of this study is to find out how perceived risk elements influence to customers' perceived value and repurchase intention in the electronic commerce environment. To achieve the goal, we set 6 sub-dimensions - privacy risk, social risk, time loss risk, economic risk, psychological risk, and performance risk - based on comprehensive consideration of related studies, and established a research model included 2 factors such as perceived value and repurchase intention to measure performance in internet shopping malls. From 174 customers of the electronic commerce shopping malls survey data have been collected and analyzed based on the covariance structural model method. The results of this study are summarized as follows. Firstly, five perceived risk characteristics of privacy risk, time loss risk, economic risk, psychological risk, and performance risk are significantly positive effect on perceived value. Secondly, perceived value IS very significantly related to repurchase intention in electronic commerce shopping malls. Consequently, we discussed the strategies to create perceived value and repurchase intention in electronic commerce environment. Also we suggested the implications and further research directions.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.321-328
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• 2004

The purpose of this study were to investigate the differences of shopping value, promotional affects and product characteristics between buyers and non-buyers, and to examine the most influenced variable on purchasing behaviors of fashion products in CATV home-shopping. We collected data from 595 consumers related to CATV home-shopping in Busan. Data were analyzed by factor analysis, t-test, ${\chi}^2$-test and discriminant analysis. Results showed that there are significant differences between buyers and non-buyers of shopping value demographic characteristics, promotional affects and product characteristics. Especially, shopping value perceived by consumers(e.g., practical value and hedonic value) and product characteristics(e.g., response of others) discriminated whether consumers purchased the fashion products of CATV home-shopping or not. We discussed the implications of results to encourage the purchasing behavior of fashion products in CATV home-shopping.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.177-180
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• 2008

There are many application areas of sensor networks, such as surveillance, hospital monitoring, and home network. These are dependent on the secure operation of networks, and will have serious outcome if the networks is injured. An adversary can inject false data into the network through the compromising node. Ye et al. proposed a statistical en-route filtering scheme (SEF) to detect such false data during forwarding process. In this scheme, it is important that the choice of the threshold value since it trades off security and overhead. This paper presents an adaptive threshold value determining method in the SEF using fuzzy logic. The fuzzy logic determines a security distance value by considering the situation of the network. The Sensor network is divided into several areas by the security distance value, it can each area to uses the different threshold value. The fuzzy based threshold value can reduce the energy consumption in transmitting.

• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.1043-1048
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• 2006

This paper aimed to verify and develop lighting design data for offices in Korea. It focused on a Korean standard office value relative to lighting density and the evaluation of lighting energy and cooling load. When planning indoor lighting design, we generally utilize the lighting density value which is set $14W/m^2$ by the ASHRAE/IES standard office value. However, the value is not appropriate to apply in Korea where higher efficiency lamps are more popular than others. For calculation of a proper lighting density of Korea, we analysed distribution curves of luminous intensity(2-lamp fluorescent lighting fixture with Parabolic) and derived the new lighting density $12.64W/m^2$ as Korea standard office value. In the simulation using this value, it was shown that lighting energy and cooling load could be reduced.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.89-99
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• 2023

Purpose: This study explores the relationship between future time perspective and older consumers' masstige product consumption, specifically, their intention to purchase masstige brand products, with a focus on their motivational drives from an functional value and symbolic value perspective. Research design, data and methodology: Data were collected through an online questionnaire from 419 people aged 54 to 64 years in South Korea and the hypotheses were examined using structural equation modeling. Results: Our results indicated that middle-aged and older consumers who have expanded future time perspective have higher intention to purchase masstige brands and their functional value and symbolic value of masstige brands were found to mediate future time perspective and intention to purchase masstige brands. Conclusions: The findings offer insights into masstige brand consumption by older South Korean consumers that may be useful for both academics and marketers.