• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.681-689
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• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

• Journal of Mushroom
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• v.18 no.3
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• pp.274-279
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• 2020

This study was conducted to investigate the characteristics of the medium used on the composting step, comparing the excavator agitator with the self-propelled turner. The temperature of the outdoor composting medium tended to increase rapidly after flipping in the turner. The late composting medium temperature was maintained at the excavator treatment area (farm practice), and the late composting effect progressed. During the field composting stage, various microorganisms such as Bacillus spp., Actinomycetes, fluorescent Pseudomonas spp., and filamentous fungi were distributed in the medium, and the density of aerobic bacteria involved in the decomposition of the medium was increased. Under high-temperature composting conditions, blue fungi, and mesophilic actinomycetes were inhibited or killed. Thermophilic actinomycetes, which play an important role in decomposing organic matter, showed higher densities than those observed in farm practices in the self-propelled turner process. The length of rice straw was slightly shorter when the self-propelled turner was used, and the water content did not show any significant difference between treatments. The a and b values tended to increase as the inverter was turned over. The CN ratio of the composting broth was lowered from 23.1 to 16.2 for the 5th turnover in the context of farming practices, and from 23.3 to 16.9 in the context of the self-propelled turner. The yield of each treatment was increased by 20% in 1 period, 28% in 2 periods, and 26% in 3 periods; the overall yield was 23%.

• Journal of Korea Multimedia Society
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• v.9 no.2
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• pp.139-150
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• 2006

A schematic map is a special purpose map which is generated to recognize it's objects easily and conveniently via simplifying and highlighting logical geometric information of a map. To manufacture the schematic map with road, label and icon, we must generate simplified route map and replace many geometric objects. Performing a give task, however, there are an amount of overlap areas between geometric objects whenever we process the replacement of geometry objects. Therefore we need replacing geometric objects without overlap. But this work requires much computational resources, because of the high complexity of the original geometry map. We propose the schematic map generation system whose map consists of icons and label. The proposed system has following steps: 1) eliminating kinks that are least relevant to the shape of polygonal curve using DCE(Discrete Curve Evolution) method. 2) making an evenly distributed route using CVT(Centroidal Voronoi Tessellation) and Grid snapping method. Therefore we can keep the structural information of the route map from CVT method. 3) replacing an icon and label information with collision avoidance algorithm. As a result, we can replace the vertices with a uniform distance and guarantee the available spaces for the replacement of icons and labels. We can also minimize the overlap between icons and labels and obtain more schematized map.

• Korean Journal of Microbiology
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• v.48 no.4
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• pp.309-313
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• 2012

The purpose of this study is to simultaneously detect and identify specific genus of Lactobacillus distributed in vagina of healthy women in their twenties by using multiplex primer. Vaginal fluid samples were taken from 166 women who were healthy and did not have vaginosis symptoms caused by bacterial infection. Six species of lactic acid bacteria belong to Lactobacillus genus that are known to inhabit in healthy vagina were selected to make a species-specific multiplex primer. Multiplex primer I was specified to selectively detect L. iners, L. crispatus, L. gasseri and multiplex primer II was specified to selectively detect L. acidophilus, L. jensenii, L. fermentum. L. crispatus (77%) was most frequently detected, and L. acidophilus (57%) and L. jensenii (57%) were relatively higher than others. Although the proportion of L. iners (59%) was a little higher than those of L. acidophilus and L. jensenii, this should be further validated in healthy women's vagina to be sure since they often appear in women having bacterial vaginosis and/or during the antibiotic therapy. Conclusively, the multiplex PCR technique using the species-specific primer could a useful tool to predict variation of vaginal health condition and process of recovery from vaginal disease.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.261-268
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• 2018

The study used the simplified flooding analysis model, SIMOD, to distribute the total flood discharge by time, so research on flooding in urban areas can be conducted. The conventional flooding analysis models have limitations in constructing input data and take a long time for analysis. However, SIMOD is useful because it supports rapid decision-making process using quick modeling based on simple hydrological data, such as topography and inflow flood of the study area, to analyze submerged routes formed by flooding. Therefore, the study used the SIMOD model to analyze flooding in urban areas before conducting a comparative study with the outputs from FLO-2D, which is one of the conventional flooding analysis models, to identify the model's applicability. Seongseoje was selected as the study area, as it is located downstream the Geumho river where streams flow in the adjacent areas, and dikes are high enough to apply the "Overflow and Break" scenario for urban areas. With regard to topography, the study applied DEM data for the conventional flooding analysis and DSM data to represent urban building communities, distribution of roads, etc. Input flood discharge was calculated by applying the rectangular weir equation under the bank and break scenario through a 200-year return period of a design flood level. Comparative analysis was conducted in a flooded area with a simulation time of 1-24 hours. The time for the 24-hour simulation in SIMOD was less than 7 minutes. Compared with FLO-2D, the difference in flooded areas was less than 20%. Furthermore, the study identified the need for topography data using DSM for urban areas, as the analysis result that applies DSM showed the influence of roads and buildings.

• Journal of Distribution Science
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• v.14 no.3
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• pp.93-101
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• 2016

Purpose - Due to the heavy reliance on the human dependence, several factors such as attitude, behavior, emotional status and the quality of the service by the employees have been a decisive effect on the existence of a business in service industry. This study made use of the cases from the beauty salons in Korea, and tried to find out the meaningful results with following purposes. The purpose of this study is to find out the effects of psychological ownership with focusing on the employees in service industry. Therefore, this study is based on the literature reviews in the fields of psychological ownership, regulatory focus, and customer satisfaction. In particular, this study focuses on the regulatory focus with two parts. The two parts are composed of the promotion focus and prevention focus. Also, the relationship between the regulatory focus on employee and customer satisfaction was identified through empirical study. Mediating effects of regulatory focus were also studied, that is, the regulatory focus was on the relationship between psychological ownership and customer satisfaction. In conclusion, practical and intellectual implications were discussed for the growth and development in service industry. Research design, data & methodology - The survey for this study was conducted from November 15th to December 15th in 2015. The same amount of survey was given to both, the service providers and customers. For both of them, such as the service providers and customers, 260 questionnaires were distributed to them in total. After excluding the missing and unreliable responses for the exact analysis and process, 250 responses were collected and used in the research analysis. This study conducted a survey questionnaires, and the confirmatory analysis was used for the reliability and validity in this study. SPSS & AMOS programs were used for the analysis. Results - The first variable that was looked at from this study is the psychological ownership. The psychological ownership had positive effects on the performance both in improving focus and prevention focus. It indicates that this study supports the results from the previous studies. Second, the effects on the performance in improving focus and prevention focus for customer satisfaction were studied. As a result, the performance in improving focus had positive effect on customer satisfaction, but prevention focus did not have any positive effect. Third, this study looked at the mediating effect of regulatory focus on the relationship between the psychological ownership and the customer satisfaction, and only partly, they had positive effects on customer satisfaction. Conclusions - The results of this study showed that the psychological ownership has positive effects on regulatory focus both in performance improving focus and prevention focus. However, the mediating effects had partial positive effects on customer satisfaction and these results indicate that the service enterprises should focus on the employees' psychological ownership in order to maximize the customers' satisfaction.

• Journal of Distribution Science
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• v.13 no.5
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• pp.45-52
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• 2015

Purpose - Augmented reality (AR) content used in mobile media today can accommodate a wide variety of contextual information. This indicates that making people experience a sense of presence and flow is a very significant factor in augmented reality content. Flow represents a rich immersion potential as representing the progress of emotion and the means to facilitate the operation of the smart phone. Therefore, users will have friendly relational continuance behavior with products and brands that supply this experience. Based on that, the purpose of this study is to investigate the relationships among smart phone AR application traits, presence, flow experience, and relational continuance behavior. First, AR application traits are defined as three categories sensory immersion, navigation, and manipulation, based on preceding studies. This study then examines the influence of AR application traits on the presence and flow experience and looks into the relation among presence, flow experience, and relational continuance behavior. This analysis suggests more detailed and concentrated strategic implications. Research design, data, and methodology - A research model is designed to examine the relation among AR application traits, presence, flow experience, and relational continued behavior. For data collection, questionnaire surveys were composed of multi-items for each component and the direct interview method was used for the interviews. To collect the data, after running the smart phone AR applications, the consumer behaviors of the respondents were generally determined. The questionnaire surveys were conducted for one month, October 2014. A total of 300 questionnaires were distributed with 278 questionnaires used for analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0 and LISREL ver. 8.51. Results - The following results are found: First, AR application traits have a significantly positive effect on presence with sensory immersion, navigation, and manipulation all having a significantly positive effect. Second, sensory immersion and manipulation among the AR application traits have a significantly positive effect on flow. However, navigation did not have a significantly positive effect on flow. Third, presence has a significantly positive effect on flow and has a significantly positive effect on relational continuance behavior. Moreover, flow also has a significantly positive effect on relational continuance behavior. This behavior tends to be formed since brands want to encourage relational continuance behavior and positive emotions with the brands being used. Relational continuance behavior accompanies repeat purchasing, positive word-of-mouth and recommendation activities, and forms of trust with the brand. Conclusions - The research results showed that smart phone AR traits had significantly positive effect on presence, flow, and relational continuance behavior. Based on this, smart phone AR application providers should establish an aggressive marketing strategy to accommodate more realistic problems in order to positively influence user behavior. Additionally, the marketers should make efforts to provide fun or convenience in the AR application operation process of the user.

• Journal of Distribution Science
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• v.13 no.7
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• pp.73-83
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• 2015

Purpose - Recently, many large retailers have been frequently purchasing commercial brands. Not only the quality of products purchased but also the brand images are of concern in this process. Based on this rising trend, commercial brands have become an important issue in the retail business world, along with increasing general interest as well. Thus, this study focuses on the factors affecting commercial brand images and clarifies the impact of the resulting factors as well. First, store images and familiarity, price sensitiveness, and knowledge are presented as the effect factors for commercial brands. Second, the study tries to clarify the effect of commercial brand image on the reliability and loyalty of customers. Research design, data, and methodology - To conduct the study methodology, 250 questionnaires were distributed to retailers who have used large discount stores located in Busan to purchase a commercial brand a total of 234 valid questionnaires were used in the final analysis. To verify the hypotheses, a structure equation formula using Amos 20.0 was calculated. First, prior to the verification of hypotheses, the reliability and feasibility of the questions were tested, and as a result, the value of Cronbach's alpha was higher than 0.7, thereby showing reliability. Additionally, for the verification of the feasibility of the questions, a confirmation factor analysis was implemented. Results - First, variances such as store images, familiarity, price sensitivity, and knowledge were presented as the factors of effect on commercial brands. As a result of the hypotheses verification, all the effect factors presented in this study were confirmed as important variables of commercial brand images. The hypotheses were drawn based on the studies relating to existing commercial brands, and thereby, a result similar to previous studies was produced. However, the effect factors of the commercial brand image presented in this study shaped a new study model based on the previous studies. Second, it was found that commercial brand images had positive effects on the reliability and loyalty of customers. This study presented reliability and loyalty as the resulting factors of commercial brand image because they are the most important factors in relation to customer behavior and variables that can suggest marketing points for distribution businesses. Conclusions - This study focused on clarifying the factors that are important effect factors for commercial brand images. As a result, all the hypotheses were confirmed in this study, indicating a meaningful result, and thereby suggesting many points that can be presented to distribution businesses. First, the proper strategies should be developed based on the hypothesis that a store image, the familiarity of customers with brands, and the price sensitiveness and knowledge level of customers have an important effect on the choice of commercial brands. Additionally, the formation of such favorable images will have positive effects not only in terms of customer trust in the commercial brands but also in terms of their loyalty.

• Journal of Distribution Science
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• v.11 no.10
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• pp.107-116
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• 2013

Purpose - Eggs are nutritionally complete and one of the most popular natural foods. Moreover, the poultry industry is one of the important food industries. However, early industrialization of the poultry industry on its own did not lead to further development compared to other livestock industries. In this study, we investigate what factors influence consumers' behavior and how consumers' understanding of retail business affects their propensity to consume. This study is different from other studies as it analyzes how the brand names of manufacturers and distribution companies affect the purchasing characteristics or actual purchase behavior of consumers in order to suggest how these manufacturers and distribution companies can increase their competitiveness. Research design, data, methodology - This study conducted a survey of 250 randomly selected egg purchasers in discount stores from January to April 2013. Consumers' purchase tendencies were calculated through frequency analysis. This result was then utilized using cluster analysis to draw a conclusion about which purchase tendency influenced consumers buying three different brands of eggs or whether this tendency really affected consumers. As a result, the outcomes of Hypotheses 2 and 3 were not clear so we drew a conclusion with our analysis of Hypothesis 1. Results - While the outcomes of Hypotheses 2 and 3 did not clearly indicate whether purchasing tendencies affected consumers when buying eggs, our analysis of Hypothesis 1 indicated that consumers were affected by the quality of the eggs rather than exterior factors such as the brand name. Thus, we concluded that it is important to promote the excellence of the quality of the eggs. Usually firms buy eggs from farms and repackage them in order to sell them. In this sense, if consumers were aware of this egg production process, and eggs were fairly distributed to retailers, large retail PB businesses would also be able to enhance their competitiveness. Conclusions - The brand, packaging, retail outlet, and other external features influenced the purchase of eggs to a certain degree, while shelf life, grade of the eggs, cleanliness, and other intrinsic characteristics had more influence. In particular, shelf life was the most important factor influencing purchase. Consumers were influenced not only by intrinsic characteristics of the eggs but also by large-scale producers' brands. Consumers relied upon the brand despite reduced competition because they found it difficult to identify shelf life and/or cleanliness. Small businesses and/or large-scale retailers can remain competitive by maintaining the freshness and cleanliness of the eggs. Further studies need to investigate areas in which consumers' cognition of the product is poor and/or the purchase inclination with regard to less developed industries such as eggs. In this study, the greatest problem was that consumers did not consume in accordance with the current situation as consumers have preferred fresh and clean eggs for a long time compared to purchase decisions based on external brands and/or packaging.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.276-287
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• 2009

Apparel professionals need to understand the customer to effectively develop, select, and promote apparel products. Analysis of consumer preferences can help in the creative design process. Therefore the purpose of this study was to identify consumer preference by gender in two segmented group; $20{\sim}34$ aged group and $35{\sim}49$ aged group toward men's apparel consumers, considering target customers and female influences on men's wear purchasing. We used questionnaires that were distributed to 600 males and females aged in their 20s to 40s, using stratified sampling method. Only 547 reliable questionnaires were selected for statistical analysis. Chi-Square and t-test were used to analyze the data, using SPSS program. We obtained the following results: 1. We found that there was a significant association between segmented age group and the preference of men's jacket style. Specially $20{\sim}34$ aged group had a significant association with styles of formal jacket, casual t-shirts, casual pants, but $35{\sim}49$ aged group had formal pants style. Looking at the general percentage, semi-formal jacket, slim fit t shirt, straight casual pants were the most favored styles. 2. Age has an significant effect on the preferences of formal menswear fabric patterns and shirt patterns. The results of t-test showed that there found to be significant by gender in character and check pattern of shirts. 3. In design details, the number of button had not significance by gender, and 2 buttons was th most favored by both age groups. The number of gather at the waist had an significant association in $34{\sim}49$ age group. $20{\sim}34$ age group prefer high waist of pants, while $35{\sim}49$ age group prefer low waist of pants. 4. For on time outfit, formal wear and tie ensemble was the most favored with significant difference by age and gender. Formal wear and no tie ensemble favored by about one third of respondents, and more favored by the younger group. For off time outfit, casual jacket and casual pants ensemble was the most favored.