• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.6
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• pp.1097-1102
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• 2011

This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. This paper proposes how to evaluate demand resources' values. Case study shows that demand response operators schedule efficiently demand response program by using index of such as the registration information the participation information of demand resource.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.138-146
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• 2012

This paper studies the effect of information quality level and customer demand on performance measures in a supply chain. The information quality level compares 2 types, the information levels of a customer demand and a lead time. The customer demand process follows a general auto-correlated AR(1) process without seasonality. In the AR(1) process, ${\sigma}$ indicates the degree of demand fluctuation and ${\rho}$ means the trend of customer demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

• Journal of Agricultural Extension & Community Development
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• v.3 no.2
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• pp.177-195
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• 1996

This study examines the demand for agricultural information at farm level, using Probit and Logit models. 646 farmers are surveyed with a questionnaire to attain the data and 441 of them have responded. The demand functions for computers, agricultural softwares, and agricultural databases at from level have been derived and used to project the demand for agricultural information in year $2001{\sim}2004$. Results find that only 5.89% of farmers have PCs at farm and rarely use the agricultural databases and softwares in 1994. The low demand figures are mostly due to the difficulty of using the PCs, databases, and softwares. The demand figures will increase in early 2000`s with 15.46% of farmers having PCs. User Friendly developed softwares and databases, and education for using agricultural information are necessary to increase the demand figures.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.3
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• pp.35-46
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• 2013

In order to develop an accurate analytical model for domestic electricity demand forecasting, we propose a prediction method of the electric power demand pattern by combining SMO classification techniques and a dimension reduction conceptualized subspace clustering techniques suitable for high-dimensional data cluster analysis. In terms of electricity demand pattern prediction, hourly electricity load patterns and the demographic and geographic characteristics can be analyzed by integrating the wireless load monitoring data as well as sub-regional unit of census information. There are composed of a total of 18 characteristics clusters in the prediction result for the sub-regional demand pattern by using census information and power load of Seoul metropolitan area. The power demand pattern prediction accuracy was approximately 85%.

• Journal of Nutrition and Health
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• v.33 no.7
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• pp.763-773
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• 2000

On the basis of the concept retained in nutition label(NL) the consumer's perception use and demand on NL nutrition knowledge(NH) purchase of nutrient controlled food and dietary modification for health were examined. The subjects were 1203 house wives mainly in the age of 30-40 and self administered questionnaire was employed. The results were as follows. Subjects' demand on nutrition information was greater while the availablity and usefulness of NL was unsatisfactory. The purchase frequencies of nutrient controlled foods were higher compared to NL reading. The use comprehenison reliability of nutrition information were better in high NK group compared to low NK group except the reliability on health claims. The required nutrients for content information were in the order of calorie Ca cholesterol Fe protein and total fat. The demand for nutrient content information was carrelated with intention of subjects' dietary modification but not the use of NL. These results indicate that NL be a good source of nutrition information and the consumers' demand for NL was based on their dietary purpose though the use of NL was unconfirmed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3249-3257
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• 2015

The smart convergence environment, in which all industries are converged around ICT infrastructure -- with the eventual inclusion of both industry and culture -- looms. With the emergence of new convergence industries such as smart medicine, smart cities, and smart automobiles, the ICT infrastructure is recognized as the foundation of the overall economy. As such, the importance of the next generation of information and communication construction businesses, which constructs the ICT infrastructure, is highlighted under the smart convergence paradigm environment; various multilateral policies to foster the information and communication construction business -- led by the Ministry of Science, ICT, and Future Planning -- are being implemented. Like other infrastructure industries, however, the estimation of the demand function of the information and communication construction business overall is essential for effectively establishing promotional policies for information and communication construction businesses. However, there has been no study which theoretically estimates the market demand function in the information and communication construction business thus far. The pursuit of a creative economy is a national agenda, as the significance of accelerating the ICT infrastructure is emphasized. Therefore, this paper seeks to estimate quantitatively the demand function in the information and communication construction business using empirical data and a statistical model and then to present policy implications which will aid the development of the information and communication construction business.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.67-77
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• 2018

With the types and targets of cyber attacks expanding and with personal information leaks increasing, the quantitative demand for information security specialists has increased. The base for training the workforce has expanded accordingly, but joblessness and job-seeking still coexist. To resolve the gap between labor demand and supply, education and training systems that can supply demand quickly are needed. It takes a considerable amount of time for information security education and new manpower supply through universities and graduate schools to be reflected in the market. However, if information security retraining is carried out in terms of career development of information security and related workforce, the problem of lack of experts could be solved in a relatively short period. This paper investigates and analyzes the information security work of the information security workforce, the degree of skill level, the need for retraining, and the workplace migration experience; it also discusses the direction of career development retraining.

• Journal of the Korean Home Economics Association
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• v.43 no.2
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• pp.175-189
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• 2005

This study analyzed the degree of demand for genetically modified organisms(GMOs) to provide the basic information for consumers' reasonable purchase decision making and their right to know about GMOs. Based on the (Ed-there are no study results above) study results, the following suggestion were made. First, throughout the survey, it was found that those consumers who participated had a high level of perception on the harm of GMOs. Therefore, reliable organizations such as government agencies are required to present the results of safety tests and formulate plans related to the safety of GMOs. Second, the average score on consumers' level of consumer knowledge on GMOs was very low, being 1.68 out of a possible 8 points. Third, since women and housewives engaged in dietary habits and food had high demand for information on GMOs, it is necessary to provide women with information on GMOs. Fourth, since it is difficult to confirm the presence or absence of GMOs. in rapidly increasing demand for fast-food, it is necessary that consumers be provided with relevant information and make a reasonable judgement in purchasing food. Fifth, it is necessary to provide detailed regulations and measures for concrete contents and directions of information on GMOs. Sixth, it is necessary to provid information on GMOs from the commercial sources of information that are most preferred by consumers.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.195-213
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• 2005

Objectives: This study aims to determine fostering stress and mental health state that mothers of handicapped children perceive as primary care givers and to analyze their demand for information assistance in order to release their stress so that it can provide materials that contribute to establishment of assistance system for families with handicapped children. Methods: The research subjects were 340 mothers whose children went to a nursery for special children, 3 general nurseries and 6 special schools in Daegu, and the data were collected using structures questionnaires. The survey analyzed mothers' fostering stress, their demand for fostering information assistance, children's daily activity abilities. Component concepts of each scale was validated by adopting confirmatory factor analysis, and factors affecting demand for fostering information assistance were analyzed by adopting covariance structural analysis. Results: Younger mothers tend to have higher demand for information, and mothers with younger children or children with double handicaps also have higher demand. Mothers under 30 have the lowest demand for public health and medical care assistance and for home and community life assistance, while mothers with children with physical handicaps have the highest. The validity of component concepts was verified by categorizing as cognitive structure models fostering stress, information demand, children's daily activity abilities, and their appropriateness was evaluated through confirmatory factor analysis using structural equation modelling. And then, GFI (more than 0.9), CFI (more than 0.9), TLI (more than 0.9) and RMSAE (less than 0.08) were used to evaluate the appropriateness. It was found that all the component concepts are valid, as every item is within appropriate range. The result of analyzing information demand demonstrated that children's handicap levels significantly affect their mothers' mental health, while fostering stress significantly affect mothers' metal health, information demand. As well, it was confirmed that mothers' mental health has a significant effect on information demand. Conclusions: Therefore, to reduce special children's mothers' uncertainty, helplessness and fostering burden, it is necessary to provide them with information on children's challenges, development and fostering and to offer them quality public health, medical care and welfare assistance along with family and local community life assistance.