• Journal of the Korean Dietetic Association
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• v.24 no.4
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• pp.312-329
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• 2018

This study was conducted to compare the awareness, satisfaction, and usage patterns of female-consumers for food-nutrition labeling in Busan. The survey was conducted from April 15 to June 10, 2018 by questionnaire. Degree of perception of food-nutrition labeling was higher among individuals in their 30s, 40s and 50s than those in their 20s, 60s and 70s. The score of verification degree was highest among respondents in their 40s and lowest among those in their 20s and 70s. Degree of demand of individuals in their 70s was lower than that of those in their 60s. Degree of reliability of individuals in their 30s, 40s and 50s was higher than that of those in their 20s, 60s, 70s. Satisfaction degree did not differ significantly among groups. Overall the most common reason to review food labeling was 'to confirm expiry date' (30.8%). Among those in their 20s, the main reason for reviewing nutrition labeling was 'weight control', while it was 'nutrients' among those in their 30s, 40s, 50s, and 60s, and 'health improvement' among those in their 70s. Additionally, 51.3% of the subjects reported that the major reason for difficulty understanding the labeling was 'small letter, various form'. The demand for nutrient contents was highest in sodium. Age was negatively correlated with perception of food-nutrition labeling, demand, need for education and publicity, and nutrition knowledge (P<0.01), whereas it was positively correlated with dietary attitude (P<0.01). There was a strong correlation between demand for food-nutrition labeling and the need for education and publicity regarding food-nutrition labeling (r=0.546). Therefore, education materials and improvement plans based on age should be developed and implemented to inspire individuals to choose more nutritious food and develop a healthy dietary life.

• ETRI Journal
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• v.18 no.2
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• pp.87-106
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• 1996

This paper proposes a new model as a framework for forecasting demand and technological substitution, which can accommodate different patterns of technological change. This model, which we named, "Adaptive Diffusion Model", is formalized from a conceptual framework that incorporates several underlying factors determining the market demand for technological products. The formulation of this model is given in terms of a period analysis to improve its explanatory power for dynamic processes in the real world, and is described as a continuous form which approximates a discrete derivation of the model. In order to illustrate the applicability and generality of this model, time-series data of the diffusion rates for some typical products in electronics and telecommunications market have been empirically tested. The results show that the model has higher explanatory power than any other existing model for all the products tested in our study. It has been found that this model can provide a framework which is sufficiently robust in forecasting demand and innovation diffusion for various technological products.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.159-168
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• 2022

With the recent proliferation of Hallyu content, national interest in Korea and the demand for designs with traditional Korean patterns as a motif is on the rise. In addition, as customers' design requirements tend to value more and more detailed and differentiated handcrafted designs, research on the motifs used in nail experts' original nail design development and nail design is continuously needed. Therefore, the purpose of this study is to expand the scope of nail design motifs with high practical value by producing nail design works applying plant patterns of Wadang, used during the Unified Silla Period, and to diversify nail art expression techniques. The research reviewed domestic and foreign literature related to Wadang during the Unified Silla Period, analyzed the collection at the National Museum of Korea, and categorized the motifs based on the characteristics of plant patterns and Wadang during the Unified Silla Period. The tangible motifs are intended to be presented as a fusion of nail art design works that utilizes both flat and stereoscopic art techniques. Through this study, it was confirmed that the plant pattern of Wadang from the Unified Silla Period is an attractive motif that can be expressed in various nail designs expressing Korean emotions and traditional beauty, and furthermore, it can be used as basic data for the idea of various beauty design areas.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.861-866
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• 2022

Seoul introduced the shared bicycle system, "Seoul Public Bike" in 2015 to help reduce traffic volume and air pollution. Hence, to solve various problems according to the supply and demand of the shared bicycle system, "Seoul Public Bike," several studies are being conducted. Most of the research is a strategic "Bicycle Rearrangement" in regard to the imbalance between supply and demand. Moreover, most of these studies predict demand by grouping features such as weather or season. In previous studies, demand was predicted by time-series-analysis. However, recently, studies that predict demand using deep learning or machine learning are emerging. In this paper, we can show that demand prediction can be made a little better by discovering new features or ordering the importance of various features based on well-known feature-patterns. In this study, by ordering the selection of new features or the importance of the features, a better coefficient of determination can be obtained even if the well-known deep learning or machine learning or time-series-analysis is exploited as it is. Therefore, we could be a better one for demand prediction.

• Proceedings of the KIEE Conference
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• summer
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• pp.722-724
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• 2004

Demand estimates in electric power systems have traditionally consisted of time-series analyses over long time periods. The resulting database consisted of huge amounts of data that were then analyzed to create the various coefficients used to forecast power demand. In this research, we take advantage of universally used analysis techniques analysis, but we also use easily available data-mining techniques to analyze patterns of days and special days(holidays, etc.). We then present a new method for estimating and forecasting power flow using decision tree analysis. And because analyzing the relationship between the estimate and power system ceiling Trices currently set by the Korea Power Exchange. We included power system ceiling prices in our estimate coefficients and estimate method.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.580-582
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• 2004

As the demand of large and high-resolution display panels is increased, the black light units (BLU) of the display devices play an important roles. In this study we'll deal with various defects of BLUs. Patterns of defects can be classified by the scratches, the non-uniform misprinting for the diffused reflection, the surface stains, spots and etc. Due to these distorted patterns the high-resolution and high-precision could be impeded. We'll propose the visual inspection system to detect various defects by pattern-matching.

• Journal of Industrial Technology
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• v.30 no.A
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• pp.9-15
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• 2010

Recently, Smart Grid is a emerging topic in power and communication industry. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. In order to successful implementation of Smart Grid, energy management function will be the key factor that coordinates and optimally controls the various loads according to the operating condition and environments, and the load patterns in residential and commercial building will be required as fundamental element for load management. In this study, we collects many types of energy usage data of electric appliances, analyze their load curves, and make the general load patterns for electrical appliance.

• Journal of the Korean Dietetic Association
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• v.26 no.4
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• pp.254-268
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• 2020

This study examined the awareness, satisfaction, and usage patterns of 257 elementary school teachers for food labeling in Busan. The survey was conducted from April 15 to June 20, 2020, by questionnaires. The perception degree of food labeling was higher in female teachers than in male teachers and did not differ significantly among age groups. The score of the understanding degree was highest in their 20s and lowest in their 30s. The degree demand in their 50s was higher than in their 30s and 40s. The reliability degree in their 20s was higher than that of those in their 40s and 50s. The verification degree and satisfaction degree did not differ significantly with age or gender. The primary reason to check food labeling was 'to confirm harmful additives (31.9%)'. Among those in their 20s and 30s, the major reason for reviewing nutrition labeling was 'nutrient', while it was 'health improvement' was most important in those in their 40s and 50s. Of the subjects, 31.1% reported that the reason for the difficulty in understanding the label was 'various forms and the small letters'. The demand for the content was highest in trans fats. Apporximately 32.3% of the teachers were educated for food labeling; 42.4% of them taught food labeling, and 62.7% of them recognized the necessity of food labeling teaching. A correlation was observed between the demand for food labeling and understanding (r=0.586). Therefore, preparing education programs for teachers according to gender and age group and developing food additives-related programs will be necessary for strengthening the teachers' ability to manage their dietary life and educate students.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.111-122
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• 2007

This paper investigates the rail service patterns by train class. The emphasis in intercity rail planning is to more efficiently use of existing station facilities. Rail transit operations are affected by the system layout and ridership patterns and by work rules. Operations are also influenced by past practices and the institutional setting. Main factors to decide train service patterns are the location, socioeconomic characteristics, land use and travel demand of the station. In this context, the travel demand of intercity rail station is of crucial significance. Tests on a KTX case shows that train service frequency can be efficiently decreased in weekday to transport the same passenger demand. The work has shown many subjects that need further research including various factors influencing on train frequency. This study serves the railroad authorities in planning and determining business strategy in the increasingly competitive environment of regional rail transport.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.97-108
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• 2006

At present, Korean many cities depend on subjective judgements of experts to estimate the number of bus-stops and inter-stop space. To get reliable results by using more objective procedure, we search for old studies and models, but they don't concern alighting demands and a random demand distributions. Our study recognize and overcome these limitation. We devide the demand into boarding and alighting demands, and define the model that can estimate flexibly optimal number of bus-stop and inter-stop space on each segment by the demand distribution. Also we apply this new model to a simple example route having various demand distributions As a result, the number of bus-stop on each segment can be estimate flexibly in proportion to boarding or alighting demand by using this model.