• Korean Institute of Interior Design Journal
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• no.17
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• pp.12-21
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• 1998

Due to rise in a more sophisticated consumer and free distribution of foreign goods domestic department stores have been confronted with the need to change marketing strategy. The VMD strategy has become increasingly important as the means in reaching the contemporary consumer who has been sensitized to a visual style of marketing strategy. The use of VMD organizational elements have enabled us to create basic planning data that more accurately reflect our current marketplace trends,. The positive influence and supporting role of visual merchandiser is needed more than ever and will be an important part of future profit and customer satisfaction regardless of whether the customer is driven from image buying values and product-quality issues.

• Journal of the Korean Data and Information Science Society
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• v.16 no.1
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• pp.59-69
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• 2005

Data mining is the method to find useful information for large amounts of data in database It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. We analyze Gyeongnam social indicator survey data by 2001 using association rule technique for environment information. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We can use to environmental preservation and environmental improvement by association rule outputs

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.32 no.2
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• pp.151-156
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• 2019

The aim of this investigation is to detect specific waveforms in a distribution line prior to the occurrence of a fault. Conditions were introduced such that a feeder remote terminal unit (FRTU) of the distribution automation system selects and stores fault waveforms from the different waveforms detected in the distribution line. In addition, an algorithm was developed to detect specific waveforms from the fault waveforms stored using the FRTU. This algorithm exploits the duration and periodicity of harmonic changes in voltage and current. The efficacy of the algorithm was confirmed based on the measurements of fault waveforms in an actual distribution line. The results indicated that faults in a distribution line can be predicted via experimental measurements.

• The Journal of Industrial Distribution & Business
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• v.2 no.2
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• pp.39-45
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• 2011

The Korean distribution industry is gearing up for an endless competition. Greeting low growth era, less competitive parties will be challanged seriously for their survival. But for large discount stores, they have shown steady annual growth for years. However, because of the saturation for numbers of stores, the difficulty of gaining new sites, and the changes in the consumer's consumption behavior caused by the recession, now they are seeking for a new customers-based business formats. Accordingly, a large corporate comopanies made supermarkets which are belonged to affiliated companies of large corporate comopanies. They based on the strong buying power, focused on SSM(Super Super Market) ave been aggressively develop nationwide multi-stores. The point is that these stores are threatening at small and medium-sized, community-based private supermarkets. Private supermarkets and retailers, who are using existing old operation systems and their dilapidated facilities, are losing a competitive edge in business. Recent the social effects of large series of corporate supermarkets for traditional markets has been very controversial, and commercial media, academia, and industry associated with it have been held many seminars and public hearings. This may slow down the speed in accordance with the regulations, but will not be the crucial alternative. The reason for this recent surge of enterprise-class SSM up, one of the reasons is a stagnation in their offline discount mart, so they are finding new growth areas. Already in the form of large supermarkets across the country got most of the geographical centre point and is saturated with stages. Targeting small businesses that do not cover discount Mart, in order to expand business in the form of SSM is urgent. By contrast, private supermarkets are going to lose their competitiveness. The vulnerability of individual supermarkets, one of the vulnerabilities is price which economies of scale can not be realized so they are purchasing a small amount of products and difficult to get a quantity discount. The lack of organization and collaboration, and education which is not practical, caused the absencer of service-oriented situations. As a first solution, making specialty shops which are handling agricultures, fruits and vegetables and manufactured goods is recommended. Second, private supermarkets franchisees join the organization for the organization and collaboration is recomaned. It can be meet the scale of economy and can be formed a alternative business formats to a government. Third, the education is needed as a good service will get consumer's awareness. In addition, a psychological stores operating is also one way to stimulate consumer sentiment as SSM can't operate. Japan already has a better conditions of their lives through small chain expression. This study includes the vulnerabilities of private supermarkets, and suggests a competitiveness reinforcement strategies.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.4
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• pp.422-431
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• 2012

The influence of a marketing mix on the consumer purchasing process is well documented in academic fields; however, studies of when consumers purchase fashion brands or products in terms of the day-of-the-week effect and 10-days-of-the-month effect on various channels to a given brand in practice are limited in the fashion industry. This study empirically describes the purchase timing behavior for athletic shoes using daily sales data from a domestic brand in Korea from January in 2006 to December in 2010. The results show that Saturday and Sunday have significantly higher sales than weekdays. In addition, the first and third 10-days-of-the-month yield a higher sales volume than the second 10-days-of-the-month. The department store's sales volume (compared with discount and franchised stores) was higher in the first 10-days-of-the-month; however, the discount and franchised stores have a higher sales volume in the second 10-days-of-the-month. Three store types have no significant differences in sales volume for the third 10-days-of-the-month. Based on the results, in practice, marketers for a specific domestic brand can develop a new marketing expenditure plan, store supply plan, and cash-in and cash-out plan to maximize profits. This research can introduce constructs such as purchase timing distribution, the day-of-the-week effect, and the ten-days-of-the-month effect for the fashion industry.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.143-154
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• 2005

This paper proposes the location acquisition methods and LBS(location-based services) system using RFID(radio frequency identification) tags with location information in ubiquitous city. Location information is checked using RFID tags attached to various buildings. stores and road signs. And various LBSs are provided based on the location information. Traditionally, when the location information is obtained by a GPS, the precision of the location information may deteriorate due to geographical displacement of a satellite and GPS receivers, for example shadow zone by building, in-door environment, and heavy cloud. The objective of this paper is to provide a ULID(universal location identification) data structure, a ULID-based location acquisition method and an LBS system, in which precise location information is extracted using RFID tags attached to various buildings, stores and road signs and ULID and also danger of information leakage is minimized so that an LBS of ubiquitous environment can be provided to a user.

• Korean journal of food and cookery science
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• v.24 no.6
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• pp.919-930
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• 2008

This study was conducted to survey the attitudes of oyster consumers and to analyze their purchase behaviors based on demographic variables. To accomplish this, a questionnaire that was developed based on content analysis and panel discussion was distributed to 467 general consumers. The majority of the respondents ate oysters (90.6%), although the proportion of oyster consumers increased with age. The primary reasons for not-eating oysters were odor (33.3%), flavor (16.7%) and concern for safety (11.9%). Most respondents consumed raw oysters (96.1%) during winter (70.0%) at discount stores (51.3%). Fishery wholesale markets were the most common places to purchase oysters for respondents in their 60 s, while the other groups reported that discount stores were the most common place to purchase oysters. Most respondents ate oysters the day of purchased (53.2%). Furthermore, most respondents (39.2%) reported that they consumed the oysters only after evaluating the appearance and odor and that they avoided oysters during summer for safety. Women were more likely to check the expiration date than men, while housewives were the most likely to check the expiration and usually kept the oysters at refrigerator. Overall, the results of this study suggest that the various types of oyster products must be targeted toward different demographic markets. Moreover, this study will be useful for promoting the safer and more effective consumption of oysters.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1064-1074
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• 2007

The purpose of this study was to determine the purchasing behavior of knitted apparel consumers. Differences in knit product evaluation criteria according to consumer characteristics, such as gender, age, and interest in knit products also were reported. Male and female consumers participated in the study. Quota sampling was used and data from 463 questionnaires were analyzed. Descriptive statistics, $X^2$ analysis, factor analysis, Cronbach's alpha coefficient, t-test, one-way ANOVA, and post-hoc test were conducted. Results indicated that 65.4 percent of respondents did not discern between knits and woven products. Cardigan was the most preferred knitted product category. Most of the respondents purchased knitted apparel themselves, got product information at stores, spent less than 100,000 won for a single knitted product and went to department stores to buy knitted apparel products. Some 62.5 percent of respondents reported wearing the product less than four year. Consumers who are more interest in knitted apparel also considered such criteria as external attributes, quality, and aesthetics to be important. Respondents who discerned between knits and woven considered quality most important. Female respondents considered quality and aesthetic criteria more important; respondents in their twenties considered aesthetic criteria most important; and respondents in their thirties through fifties considered external criteria most important. Results of this study provide a basis for understanding knitted apparel consumers' purchasing behavior.

• The Journal of Korean Physical Therapy
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• v.19 no.4
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• pp.1-14
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• 2007

Background: It is generally accepted that skeletal muscle contraction is triggered by nerve impulse and intracellular $Ca^{2+}\;([Ca^{2+}]_i)$ released from intracellular $Ca^{2+}$ stores such as sarcoplasmic reticulum (SR). Specifically, this process, called excitation-contraction (E-C) coupling, takes place at intracellular junctions between the plasma membrane, the transverse (T) tubule L-type $Ca^{2+}$ channel (dihydropyridine-sensitive L-rype $Ca^{2+}$ channel, DHPR, also called tetrads), and the SR $Ca^{2+}$ release channel (ryanodine-sensitive $Ca^{2+}$ release channel, RyR, also called feet) of internal $Ca^{2+}$ stores in skeletal muscle cells. Furthermore, it has been reported that the $Ca^{2+-}$ dependent and -independent contraction determine the expression of skeletal muscle genes, thus providing a mechanism for tightly coupling the extent of muscle contraction to regulation of muscle plasticity-related excitation-transcription (E-T) coupling. Purpose: Expression and activity of plasticity-associated enzymes in gastrocnemius muscle strips have not been well studied, however. Methods: Therefore, in this study the expression and phosphorylation of E-C and E-T coupling-related mediators such as protein kinases, ROS(reactive oxygen species)- and apoptosis-related substances, and others in gastrocnemius muscles from rats was examined. Results: I found that expression and activity of MAPKs (mitogen-activated protein kinases, ERK1/2, p38MAPK, and SAPK/JNK), apoptotic proteins (cleaved caspase-3, cytochrome c, Ref-1, Bad), small GTP-binding proteins (RhoA and Cdc42), actin-binding protein (cofilin), PKC (protein kinase C) and $Ca^{2+}$ channel (transient receptor potential channel 6, TRPC6) was observed in rat gastrocnemius muscle strips. Conclusion: These results suggest that MAPKs, ROS- and apoptosis-related enzymes, cytoskeleton-regulated proteins, and $Ca^{2+}$ channel may in part functionally import in E-C and E-T coupling from rat skeletal muscles.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.861-868
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• 2021

With the development of technology for visualizing big-data, tasks such as intuitively analyzing a lot of data, detecting errors, and deriving meaning are actively progressing. In this paper, we describe the design and implementation of a 3D analysis that collects and stores the writing data in Chinese characters provided by the Korean Classical Database of the Korean Classics Translation Institute, stores and progress the data, and visualizes the writing information in a 3D network diagram. It solves the problem when a large amount of data is expressed in 2D, intuitive that analysis, error detection, meaningful data extraction such as characteristics, similarity, differences, etc. and user convenience can be provided. In this paper, we improved the problems of analyzing Chosun dynasty poetry in Chinese characters using 2D visualization conducted in previous studies.