• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.19-32
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• 2005

Internet shopping has transformed our daily lives as well as the pattern of consumption. In the word, the development and the growth of online shopping site have led to new pattern of consumption. This applies in particular to clothing, among the product on sale, on the internet. The purpose of this research is to analyze the characteristic of colors and images on internet fashion soho mall web site, and to provide efficient color information which is usefull in color planning and suitable for brand image on fashion web site. 147 color sample used by 40 fashion soho mall web site were collected and analyzed. The results of this study are as follows. First, dominant color on fashion web site is static color as black and it's ratio is 33$\%$. Second, G color is not used. Third, Hue and tone mainly used It tone of P color except V tone. And the color image on internet fashion soho mall web site are modern, chic, dandy, formal. Results from analyzing the fashion soho mall Web site. it is important to unity the company's image but its more important to make a color plan considering the sites feature and the customers's sensitivity.

• Journal of the Korean Society of Food Culture
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• v.13 no.3
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• pp.207-214
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• 1998

This study was undertaken to assess eating habits and food consumption pattern of 365 adolescent girls in Kwangju area. Subjects were divided into 3 groups based on relative body weight as obesity index. Anthropometric data showed that mean height and weight were $161.9{\pm}19.0cm$ and $53.3{\pm}7.2kg$ respectively which are similar to those in the Korean Standard Growth data. Mean BMI and relative body weight were 20.50 and 97.1%. Age of menarche in the subjects significantly influenced the obesity index. Food habit score in the underweight group was significantly lower than that in the normal group at ${\alpha}=0.2$ level by multiple range test. Obesity was significantly associated with more frequent and irregular eating. It seems that students in the obese group were concerned on their body weight and tended to consume much vegetable. Obese group consumed more fruits, less butter and fruit juice compared to other groups. It might be suggested that more effective nutrition program might be developed and implemented to ensure good food habit of adolescent girls including obese as well as underweight group.

• Journal of Korean Institute of Industrial Engineers
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• v.1 no.1
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• pp.41-56
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• 1975

In the past the pattern of business down-trend usually appeared in the form of, first, decrease in facility investment, then decrease in inventory level, followed by reduced level of consumption. But the pattern nowadays is becoming just the opposite, that is, first, consumption decrease, then inventory level increase, followed by restriction of facility investment. Also in the past, the greater effort was placed in strengthening of hardware areas through optimization and modernization of production means on the premise of sales. But lately software areas take most of the main effort to establish production mean with sales as its objective. Under these circumstances one of the real problems facing production activities today is the conflicting relationship between sales and production functions. This occurs due to differences of their view points. Then, in order to achieve maximum profit at the least cost, which is the ultimate objective of a production activity, the need arises to effectively coordinate sales demand and plant production capacity. For this purpose strong control means and function must be devised. In our case study example we illustrate a management technique for a combined planning function, of optimal coordination of product mixes utilizing a computerized linear programming model as control means of attaining maximum profit. It is hoped that this example help achieve some of corporate objectives.

• KIEAE Journal
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• v.15 no.3
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• pp.57-63
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• 2015

Purpose: Ground source heat pump system has been attracted in the horticulture industry for the reduction of energy costs and the increasing of farm income. Even though it has higher initial costs, if it uses in combination with heat storage, it is able to reduce the initial costs and operate efficiently. In order to have significant effect of heat storage type ground source heat pump system, it is required to design the capacity considering various conditions such as energy load pattern and operating schedule. Method: In this study, we have designed heat storage type ground source heat pump system in 5 cases by the operating schedule, and examined the system to find the most economic and having superb performance regarding the system COP(Coefficient of Performance) and energy consumption, using dynamic energy simulation, TRNSYS 17. Result: Conventional ground source heat pump system has lower energy consumption than heat storage type, but following the result of LCC(Life Cycle Cost) analysis, the heat storage type was more economic due to the initial costs. In addition, it has the most efficient performance and energy costs in the case of the smallest heat storage time.

• Korean journal of food and cookery science
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• v.12 no.3
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• pp.280-290
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• 1996

The suwey on the consumption pattern of Korean traditional soy sauce and commercial soy sauce was performed. 55.8 percentage of surveyed house makes Korean traditional soy sauce domestically, But its frequency in actual use is lower than commercial soy sauce. The use of Korean traditional soy sauce and commercial soy sauce was different depending on the kinds of food. Korean traditional soy sauce is mainly used for kinds of soup, and commercial soy sauce is predominantly used for hard-boiled foods and Chapchae. Korean traditional soy sauce is known as our typical fermented food and has special flavor. But its main factors of special flavor were not well established yet. So the authors have investigated the main components of Korean traditional soy sauce for its typical taste. Five samples o$.$ere selected from'Kyung-ln'area. The sensory charac teristics of Korean traditional soy sauce itself were very different with that of cooked food added with Korean traditional soy sauce. The hard-boiled mackerel cooked with commercial soy sauce was prefered than Korean traditional soy sauce. And soups and seasoned vegetables cooked with Korean traditional soy sauce were profered. By stepwiEe regression analysis and correlation analysis, sensory overall acceptability mainly depends on specific gravity, salt content and amino nitrogen content (R'=0.94). And total nitrogen content was highly coirelated with overall acceptability (r=0.91).

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.172-185
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• 2005

This study was carried out to investigate the information concerning dietary patterns and analysis of the various factors that influence obesity. The subjects of this study were 1,020 middle and high school students in Seoul. Subjects were classified into under weight, normal weight and over weight group by body mass index. We investigated eating habits, life habits, food behavior and food consumption. Data were collected by questionnair and analysed with the SAS program. The results of this study way are summarized and concluded as fellows; In the case of dietary pattern, over weight group showed significantly higher in skipping a meal than the other group. Also over weight group tend to eat fast. There were significant differences of food intake frequency score by body mass index. From the results of factor analysis of variable related to obesity, 4 factors were generated and the factors were named 'Food behavior related to obesity', 'Snack consumption pattern', 'Life habit', 'Family environment related to food habit'. These factors were associated with obesity. To maintain nutritional balance and health, we should implement to ensure good dietary patterns.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.68-77
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• 2018

Regarding demand response (DR) by residential users (R-users), the users try to reduce electricity costs by adjusting their power consumption in response to the time-varying price. However, their power consumption may be affected not only by the price, but also by user convenience for using appliances. This paper proposes a methodology for appliance scheduling (AS) that considers the user convenience based on historical data. The usage pattern for appliances is first modeled applying the copula function or clustering method to evaluate user convenience. As the modeling results, the comfort distribution or representative scenarios are obtained, and then used to formulate a discomfort index (DI) to assess the degree of the user convenience. An AS optimization problem is formulated in terms of cost and DI. In the case study, various AS tasks are performed depending on the weights for cost and DI. The results show that user convenience has significant impacts on AS. The proposed methodology can contribute to induce more DR participation from R-users by reflecting properly user convenience to AS problem.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2039-2044
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• 2008

The problem of an efficient hardware implementation of multiple constant multiplication is frequently encountered in many digital signal processing applications such as FIR filter and linear transform (e.g., DCT and FFT). It is known that efficient solutions based on common subexpression elimination (CSE) algorithm can yield significant improvements with respect to the area and power consumption. In this paper, we present an efficient specialized adder design method for two common subexpressions ($10{\bar{1}}$, 101) in canonic signed digit (CSD) coefficients. By Synopsys simulations of a radix-24 FFT example, it is shown that the proposed method leads to about 21%, 11% and 12% reduction in the area, propagation delay time and power consumption compared with the conventional methods, respectively.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.185-196
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• 2015

Energy aware server clusters aim to reduce power consumption at maximum while keeping QoS(Quality of Service) compared to energy non-aware server clusters. They adjust the power mode of each server in a fixed or variable time interval to let only the minimum number of servers needed to handle current user requests ON. Previous studies on energy aware server cluster put efforts to reduce power consumption further or to keep QoS, but they do not consider energy efficiency well. In this paper, we propose an energy efficient cluster management based on autonomous learning for energy aware server clusters. Using parameters optimized through autonomous learning, our method adjusts server power mode to achieve maximum performance with respect to power consumption. Our method repeats the following procedure for adjusting the power modes of servers. Firstly, according to the current load and traffic pattern, it classifies current workload pattern type in a predetermined way. Secondly, it searches learning table to check whether learning has been performed for the classified workload pattern type in the past. If yes, it uses the already-stored parameters. Otherwise, it performs learning for the classified workload pattern type to find the best parameters in terms of energy efficiency and stores the optimized parameters. Thirdly, it adjusts server power mode with the parameters. We implemented the proposed method and performed experiments with a cluster of 16 servers using three different kinds of load patterns. Experimental results show that the proposed method is better than the existing methods in terms of energy efficiency: the numbers of good response per unit power consumed in the proposed method are 99.8%, 107.5% and 141.8% of those in the existing static method, 102.0%, 107.0% and 106.8% of those in the existing prediction method for banking load pattern, real load pattern, and virtual load pattern, respectively.