• Agribusiness and Information Management
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• v.7 no.1
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• pp.21-36
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• 2015

This study aims to analyze the differences of ginseng product consumers and segment Korean fresh ginseng and red ginseng root markets based on attributes for the purchase. As a result of analyzing survey data, the red ginseng root consumers had different aspects from fresh ginseng consumers. According to the result of cluster analysis, the fresh ginseng consumers were subdivided into three segments (safety-oriented consumption cluster, label centered consumption cluster, and high involvement consumption cluster), while the red ginseng root consumers were subdivided into four segments (convenience-oriented consumption cluster, high involvement consumption cluster, raw material's safety-oriented cluster, and raw material's information importance cluster). ANOVA and Crosstab were conducted to investigate characteristics of each cluster.

• Journal of the Korean Solar Energy Society
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• v.33 no.1
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• pp.48-56
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• 2013

Energy consumption analysis of multi-family apartment is an important area of research for the design of energy-saving housing. In this study, we selected a universal type of Flat-type apartments and analyzed the heating energy consumption of variables such as U-value, G-value, infiltration rate, heating setpoint and boiler efficiency with EnergyPlus and eQUEST. With these results, we identify the characteristics of EnergyPlus and eQUEST and provided base data for the design of energy-saving housing. The results indicate that infiltration rate is the most important factors to consider. And eQUEST heating energy consumption is approximately 10% higher compared to the EnergyPlus under same condition.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.119-124
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• 2005

Decision of operation performance mode to minimize the energy consumption of urban rail vehicle. This paper analyses how much acceleration and deceleration of urban rail vehicle should be applied andhow to choose an operation mode to minimize energy consumption when train runs between station within the fixed operation time. The decided operation pattern satisfying the minimum energy consumption becomes a target trajectory and a basis for the controller design criteria. To make this goal it grasps the characteristics of urban rail vehicle, realize operation energy model of urban rail vehicle and verify the accuracy of embodied model the Matlab simulation with the same operation result of real route. It searches for operation pattern to minimize operation energy by changing the acceleration and deceleration on the imaginative route and proposes operation pattern minimizing energy consumption by applying real operation data between Dolgogee-Sukgye section of Seoul Metropolitan Subway Line 6.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.227-228
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• 2013

Recently, it is certain that the increase of heating and cooling energy consumption by radical change in climate condition has caused serious problems related to environmental and energy concerns associated with increase of fossil fuel usage and carbon dioxide production as well as global warming. So, various actions to reduce greenhouse gas exhaustion and energy consumption have been prepared by world developed countries. The energy consumption by buildings approximately reaches 25% of total korea energy consumption. The greatest part in the buildings of the energy consumption is building facade. but a few research projects on concrete comprising more than 70% of outsider of buildings has been tried. This research structural insulation concrete what improved insulation performance using insulation performance improve material.

• Communications for Statistical Applications and Methods
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• v.27 no.6
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• pp.589-602
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• 2020

The development of smart grids has enabled the easy collection of a large amount of power data. There are some common patterns that make it useful to cluster power consumption patterns when analyzing s power big data. In this paper, clustering analysis is based on distance functions for time series and clustering algorithms to discover patterns for power consumption data. In clustering, we use 10 distance measures to find the clusters that consider the characteristics of time series data. A simulation study is done to compare the distance measures for clustering. Cluster validity measures are also calculated and compared such as error rate, similarity index, Dunn index and silhouette values. Real power consumption data are used for clustering, with five distance measures whose performances are better than others in the simulation.

• KIEAE Journal
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• v.11 no.5
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• pp.91-96
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• 2011

This study is to analysis the characteristics of electric power consumption of apartments complex in Korea. This study shows the pattern of electric power consumption and correlation of each apartment complex's completion year monthly and timely. With this result, we are able to predict the demand pattern of electricity in a house and make the schedule by demand pattern. It is expected this data is used as reference of electric consumption of Daejeon area to operate the simulation tools to predict the building energy. The yearly data of 10 apartment complexes of 2010 are analyzed. The results of this study are followed. The averaged amount of electricity consumption in winter is higher as summer because of the high capacity of heating equipment. All of the house has electric base load from 0.26kWh to 0.5kWh. The average of the electricity consumption of month is shown as 310.2kWh. A week is seperated, as 4 part such as week, weekend, Saturday and Sunday. During week, the average of timely electricity consumption is shown as 0.426kWh. The Saturday consumption is 0.437kWh. The Sunday is 0.445kWh. The peak electricity consumption in summer and winter is measured. The peak consumption on summer season is 1.389kW on 22th August 64% higher than winter season 0.887kW on 3rd January.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.415-424
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• 2023

This study was undertaken to provide basic data to aid product development and marketing by identifying purchasing behaviors and performing Important Performance Analysis (IPA) according to the consumption values of rice cakes. This study was conducted on 426 consumers who purchased rice cakes. Analysis was performed to determine general characteristics, consumption behaviors, preference for rice cakes, material preferences for rice cake development, need for rice cake development, and importance and satisfaction when selecting rice cakes. Cluster analysis classified consumption values into three clusters. The high and middle consumption value groups contained the greatest proportions of consumers aged over fifty. The high and medium consumption value groups preferred rice cakes more than the low consumption value group. Higher rice cake consumption value was positively associated with the greater preference for rice cakes. Furthermore, the perceived need to develop rice cakes was greatest in the high consumption value group. In addition, importance and satisfaction were positively associated with consumption value. IPA analysis showed that the attributes that require continuous attention because of their contributions to importance and satisfaction were taste, quantity, and hygiene. Different rice cake marketing and product development strategies are required for different consumption values.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.12
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• pp.1732-1739
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• 2009

The purpose of this study was to analyze factors that influence consumption pattern of snacks of middle school students. The subjects of study were 607 middle school students (male: 316, female: 291) in Ilsan area. The subjects were surveyed by a self-administered questionnaire about anthropometrics, mother's employed status, parents' education level, and snack consumption pattern. Male students showed higher consumption in 'milk and milk products' (p<0.05), 'instant noodles' (p<0.01), and 'cereal' (p<0.05). In the other hand, female students showed higher consumption in 'biscuits, cookies' (p<0.01) and 'candy and chocolates' (p<0.01). Subjects in underweight group showed higher frequency in the consumption of 'biscuits, cookies' (p<0.05) and 'candy and chocolates' (p<0.001) compared with normal weight or overweight subjects. The subjects with mother not having a job showed higher consumption of snacks under controlling parents (p<0.001), and higher consumption in 'fruit and fruit juice' (p<0.05) and 'milk and milk products' (p<0.01) compared to the subjects with mother having a job. The subjects with parents having higher education level showed higher of consumption in 'fast food'. These results suggest that general characteristics of the subjects and characteristics of family environment may affect consumption pattern of snacks in middle school students.

• Clean Technology
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• v.20 no.3
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• pp.241-250
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• 2014

In this study, performance and environmental characteristics of cyclone vacuum cleaners are analyzed and product improvement methods are investigated to minimize environmental effect of the cleaners using the result. A simplified LCA method is used to analyze environmental characteristics of the cyclone vacuum cleaners. Two cyclone vacuum cleaners with similar specifications are chosen for the experiment. Typical characteristics of cyclone vacuum cleaners such as energy consumption, suction force, noise and temperature are measured and compared. Most environmental effect was caused by the energy consumption in use phase of life cycle. Some ideas are created to reduce energy consumption of the vacuum cleaners in use phase like installing baffle, and methods to extend exchange period of filter. It is analyzed how recyclability rate of vacuum cleaners could be improved to reduce the environmental effect in whole life of the vacuum cleaners.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.205-215
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• 2002

The purpose of this study was to identity the relationship of clothing involvement, consumer characteristics, and clothing buying behavior of college female students in China. A questionnaire was developed to measure clothing involvement, materialism, conspicuous consumption, reference group influence, clothing purchasing modes, fashion information sources. The questionnaire was administered to 390 college female students in Dandong of china. The data were analyzed using percentage, frequency, factor analysis, and t-test. The results of the study were as follows: 1. Subjects were divided into low clothing involved and high clothing involved groups according to the level of clothing involvement. 2. Three dimensions of materialism were derived by factor analysis such as Happiness-pursuing, Life-centered, and Sucess-symbolic. And three dimensions of conspicuous consumption and reference group influence were derived by factor analysis such as luxury oriented, Status symbolic, Brand-name oriented, and Comparative, Informational, Normative exactly. Clothing purchasing motives and fashion information sources were factor analysed as Social and Individual mole, and Printed & Electric-wave media, Marketer managed, Personal exactly. 3. There were significant differences between high involved and low involved consumers in consumer characteristics and clothing purchasing behavior. The high involved consumers showed more importance than low involved consumers about materialism especially in Happiness-pursuing about conspicuous consumption in status symbolic and about influence of reference group in comparative. The high involved consumers put more importance than low involved consumer individual motive as clothing purchasing motive, and marketer managed in clothing fashion information. The high invoked consumers showed more importance than low invoked consumers about evaluating attributes of product, and about store patronage criterion.