• The Journal of the Convergence on Culture Technology
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• v.1 no.2
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• pp.37-44
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• 2015

In this paper, we survey the auction on the art and the art price index in the international and Korea art market. The auction plays a role on the art market from art creators to art collectors. The auction will grow because it utilizes the open art market. The art price index which is developed to give a guide in art investment. However, the history of art index is short and the developed art index is not well widely used. Since, the art price is opened in the auction, so it provides the necessary condition to develop art price index. In this study, we compare the foreign art price index with the domestic one and we examine the properties and utilization of the art price index in Korea.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.386-388
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• 2001

The change of the electricity charge from cost base to price base due to the introduction of the electricity market competition causes consumer to choose a variety of charge schemes and a portion of loads to be affected by this change. Besides, it is required the index that consolidate the price volatility experienced on the power exchange with gaming and strategic bidding by suppliers to increase profits. Therefore, in order to find a mathematical model of the sensitively-responding-to-price loads, the price-sensitive load model is needed. And the development of state-of-the-art technologies affects the electricity price, so the diffusion of high-efficient end-uses and these price affect load patterns. This paper shows the analysis on learning curves algorithms which is used to investigate the correlation of the end-uses' price and load patterns.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.435-437
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• 2001

The change of the electricity charge from cost base to price base due to the introduction of the electricity market competition causes consumer to choose a variety of charge schemes and a portion of loads to be affected by this change. Besides, it is required the index that consolidate the price volatility experienced on the power exchange with gaming and strategic bidding by suppliers to increase profits. Therefore, in order to find a mathematical model of the sensitively-responding-to-price loads, the price-sensitive load model is needed. And the development of state-of-the-art technologies affects the electricity price, so the diffusion of high-efficient end-uses and these price affect load patterns. This paper shows the analysis on learning curves algorithms which is used to investigate the correlation of the end-uses' price and load patterns.

• The Journal of Information Systems
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• v.29 no.3
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• pp.119-144
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• 2020

Purpose Real estate usually takes charge of the highest proportion of physical properties which individual, organizations, and government hold and instability of real estate market affects the economic condition seriously for each economic subject. Consequently, practices for predicting the real estate market have attention for various reasons, such as financial investment, administrative convenience, and wealth management. Additionally, development of machine learning algorithms and computing hardware enhances the expectation for more precise and useful prediction models in real estate market. Design/methodology/approach In response to the demand, this paper aims to provide a framework for forecasting the real estate market with machine learning algorithms. The framework consists of demonstrating the prediction efficiency of each machine learning algorithm, interpreting the interior feature effects of prediction model with a state-of-art algorithm, LIME(Local Interpretable Model-agnostic Explanation), and comparing the results in different cities. Findings This research could not only enhance the academic base for information system and real estate fields, but also resolve information asymmetry on real estate market among economic subjects. This research revealed that macroeconomic indicators, real estate-related indicators, and Google Trends search indexes can predict real-estate prices quite well.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.2
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• pp.104-113
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• 2017

The purpose of this study was to analyze and consumption patterns diet/low-calorie food. Ubjects were 353 adult women aged 20s~50s. Ubjects were divided into three groups according to body mass index (BMI): Normal group (BMI>23.0), overweight group (23.0${\leq}$BMI<25.0), and obesity group (BMI${\geq}$25.0). This study collected all information by self-administrated questionnaires. The SPSS version 21.0 was used for analysis of data. The obesity group lower education level (p<0.001), higher age (p<0.001) and higher income (p<0.001) than normal group. However, score of health status was highest in normal group (p<0.001). Proportion of obesity group pill type diet/low-calorie (p<0.034), drug (diuretic, appetite suppressant and riental medicine) (p<0.001), and cosmetic surgery (p<0.001). The main reason for consumption of diet/low-calorie was control without starving (28.0%). Obese group emphasized manufacturer, ingredient and reputation, whereas the normal group emphasized price and expected effectiveness (p<0.001).