• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.1
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• pp.49-67
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• 2014

This paper proposes a real time pricing model for smart grid considering consumers' behavior, real time price elasticity, and exogenous price. Based on the proposed model, we found the weight of utility over cost is the most sensitive factor compared to other factors. Also, if the electricity price is set to be changed too sensitively to energy consumption, it is warned that real time pricing sometimes can cause increment of peak-time demand and volatility. Finally, real time pricing could be less efficient when the difference between the maximum and the minimum consumption level is small.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.3-3
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• 2008

The TFT-LCD industry has shown dramatic growth by making technological advances and satisfying consumer needs. It now stands at the heart of the display industry. However, the TFT-LCD market is maturing and is unlikely to sustain the fast pace of growth in years to come. There has been an oversupply in the LCD sector entering 2008 due to capacity expansion aimed at fueling growth coupled with softening demand amid the global economic slowdown and recent financial turmoil. The LCD industry has successfully coped with oversupply on several occasions. Each time, LCD makers faced up to the challenge and responded with a pioneering spirit. They continued to grow by turning crisis into opportunity. LG Display aims to create new markets by developing products based on innovative technology and providing more attractive products through a value-added product planning that incorporates consumer needs. Through a continuous cost innovation targeted at stimulating demand by making products more economical to consumers, we will be at the forefront of overcoming the current oversupply and sustaining robust growth for the TFT-LCD industry. Depending on our management of the situation, the current oversupply could prove to be an opportunity to create even bigger markets for the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.157-167
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• 2006

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.3
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• pp.480-484
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• 2015

As the increasing national power crises due to various environmental factor, power market change is needed more developed and systemized DSM(Demand Side Management) search at DR market. To overcome national power crisis outbreaking every year and manage the eletric power reserve ratio, we need to construct and develop the electric safety manager and general public main oriented national power plant. For the advanced national power demand management system, it is required the application development like OpenAPI, Big Data Acquisition, Web/APP basd on ICT.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.23 no.1
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• pp.47-53
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• 2017

In this study we surveyed the preferences of consumer packaging for mini pot flower plants to improve the flower market application in Korea. The surveys were consisted of the consumers residing in Seoul metropolitan (221), Gyeonsang (70), Jeonla (29), Chungceong (19), Gangwon (7), other provinces (3). A total of 349 eligible respondents (male 173, female 176) were surveyed with a self-administered questionnaire asking on the general characteristics for residents, packaging material, packaging design, type of flower pot, degree of transparency, convenience, consumer's demand for packaging development, a significant point when purchasing the flower pot product. The collected date was analyzed using a chi-square (${\chi}^2$) statistical test in SPSS program. Most residents prefer for mini pot flower plants packed with packaging characteristics of plastic material (56.4%), packaging design of separated type (76.2%), angled type (62.5%), and transparency (48.6%). The other question results showed that major consumer's demand for mini pot flower plants is maintaining the freshness quality and stability structure for them. Transparency of packaging can also affect directly the preferences for purchasing the mini pot flower plants. The packaging structure with a proper shape design may protect the fresh mini pot flower plants from shock or any other damage during distribution. The results of this study help to provide consumer's demand for packaging development and to give the greatest advantages in terms of production and marketability of mini pot flower plants.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.11
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• pp.1903-1909
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• 2007

As the electric power industry has been revolutionarily transformed such that the distributed energy resources have been interconnected with power systems and a variety of energy service providers have been appeared, the need of Consumer Energy Portal as a core of two-way communication and service infrastructure between power suppliers and consumers has been gradually increased. Consumer Energy Portal can be thought of as a combination of hardware and software enabling two-way communication between energy service providers and equipment within the consumers' premises or a physical and logical link between consumers' in-building networks and wide-area access networks. In other words, Consumer Energy Portal can make the way the power industry has been traditionally operated the web-based way, enabling two-way interactions between energy service providers and consumers and mutual networking between end users' equipment. Thus, Consumer Energy Portal can be a kind of Service portal that provides new value-added services and efficient power operations that in the past. In this paper, for ESPs' integrated resources management, demand side management and value-added service provision, we have established the two-way access network that can gather real-time metering data using ZigBee technology and control physically networked equipment.

• Journal of Korean Society of Water and Wastewater
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• v.20 no.2
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• pp.187-196
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• 2006

Forecasting the long-term water demand is important in the plan of water supply system because the location and capacity of water facilities are decided according to it. To forecast the long-term water demand, the existing method based on lpcd and population has been usually used. But, these days the trend among the variation of water demand has been disappeared, so expressing other variation of it is needed to forecast correct water demand. To accomplish it, we introduced the System Dynamics method to consider total connections of water demand factor. Firstly, the factors connected with water demand were divided into three sectors(water demand, industry, and population sectors), and the connections of factors were set with multiple regression model. And it was compared to existing method. The results are as followings. The correlation efficients are 0.330 in existing model and 0.960 in SD model and MAE are 3.96% in existing model and 1.68% in SD model. So, it is proved that SD model is superior to the existing model. To forecast the long-term water demand, scenarios were made with variations of employment condition, economic condition and consumer price indexes and forecasted water demands in 2012. After all scenarios were performed, the results showed that it was not needed to increase the water supply ability in Seoul.

• KIEAE Journal
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• v.8 no.6
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• pp.11-20
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• 2008

Modern society is an era that demands higher standards of living, and accordingly healthier living conditions due to fast economic growth. This society is being confronted by the necessity to find strategies to promote and manage health condition in everyday living environment. The current 'wellbeing' trend which pursues holistic health including physical, psychological and social health has accelerated the demand for healthy environment. In this context, this study intended to identify health friendly planning features based on consumer's demand. Web survey technique was used as main research methodology. Stratified random sampling was used with age being used as the strata valuable. Two hundred and eleven data were analyzed using SPSS statistical package. As results, awareness about health housing and hierarchy of important planning features were empirically identified. Furthermore, significant differences in some planning features according to the age were scrutinized. Major health friendly features demanded by consumers were found ventilation, non-toxic material, view of nature, space in which family can gather, protection of their privacy. Consumers' recognitions and demands varied according to age. The older the resident was, the higher the demands appeared. The results are expected to be used as a reference to explore and develop strategies for future healthy housing.

• Korean Journal of Clinical Pharmacy
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• v.23 no.4
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• pp.334-343
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• 2013

Purpose: This study aims to investigate consumers' demand of and perspective on drug information domestically available and uncover hurdles that they faced while utilizing information. Methods: We conducted a survey of 101 consumers, face-to-face after obtaining informed consent. Chi-squared, or Fisher's exact tests, and multivariate logistic models were used to investigate the association between participants' perceptions and characteristics. Results: As results, participants showed the highest demand for "Adverse effects >90%"; "Drug interactions/Dosage/Drug-food interactions/Indication >80%", and utilized package inserts (52%), doctors (41%) and pharmacists (36%) most often as information sources. Generally, the most common difficulty consumers suffered with was that "it is hard to understand (51%)". With public sources of drug information, sixty one percent of participants were "unaware of the provision of information", resulting in strikingly low usage rates (5~11%). Subgroup analyses indicated that the older (${\geq}50$ years) and the disadvantaged might have been placed in the blind spot of information mostly developed online (p<0.05).Conclusion: In conclusion, public sources of drug information that have been developed online might fail to meet consumers' demand. Greater efforts should be made to balance the development of the information sources between online and offline, and to increase accessibility of the established information sources.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.102-115
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• 2015

Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.