• 문화기술의 융합
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• 제1권2호
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• pp.37-44
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• 2015

본 연구에서는 미술품의 경매 현황에 대해 알아보고 미술품 가격 지수의 국외 및 국내 현황에 대해 조사한다. 경매는 공개된 경쟁 입찰을 통해 미술품의 창작자로부터 수집가로 통하는 시장의 역할을 수행한다. 미술품의 사적 거래를 통한 음성적인 거래가 아직은 큰 부분을 차지하고 있는 국내 미술품 시장의 현황에서 경매의 역사는 짧지만 양성적인 거래인 경매에 의한 효과가 크기 때문에 앞으로는 경매가 더욱 활성화 할 것이다. 미술품 가격 지수는 선진국에서는 투자자들에 대한 투자 지침으로 역할하며 개발되어 잘 활용되고 있다. 그러나 아직 국내에서는 미술품 가격 지수에 대한 개발역사가 일천하며 개발된 미술품지수조차도 널리 활용이 되지 않고 있는 실정이다. 경매에서 낙찰된 작품들에 대해서만 가격정보가 투명하게 공개되므로 경매는 가격지수 개발을 위한 필수적인 토대라고 할 수 있다. 본 연구에서는 선진국과 국내 미술품 가격 지수에 대한 비교를 통해 한국형 미술품 가격지수들의 특징과 활용방안에 대해 검토한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 A
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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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.

• 동아시아식생활학회지
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• 제27권2호
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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).