• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.215-226
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• 2002

Considering the rapid process of media's breakthrough and diverse patterns of consumptions's analysis, a uniform analysis might be much rooms to be desired for interpretation of new phenomena. In special, the products happening intensive sails on around an anniversary or fresh food have the restricted marketing hours. Moreover, traditional association rule discovery algorithms might not be appropriate for analysis of sales pattern given in a specific time because existing approaches require iterative scan operation to find association rule in large scale transaction databases. in this paper, we propose an incremental candidate set management model based on twin-hashing technique to find association rule in special sales pattern using database trigger and stored procedure. We also prove performance of the proposed model through implementation and experiment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4212-4226
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• 2019

In this paper, a design and implementation for direct deal distribution platform is proposed to bypass the complex traditional distribution structure of agricultural market, as one of the fields where distribution patterns have changed. In the case of domestic agricultural distribution, demand and supply are unstable since the sales market is excessively concentrated in the designated wholesale market. Besides sales must go through multiple stages of distribution leading to problems in freshness and stability of agricultural products and downward pressure on profit margins for producers. To solve the above mentioned issues, we propose a cloud service convergence direct deal distribution platform based on asynchronous-driven Node.js. The proposed platform can facilitate a variety of direct trading functions and also access to visualization information related to agricultural products, which may increase user confidence at an intermediary-free direct transactions platform. First, we describe the requirements of intermediary-free direct transactions of agricultural products and transaction entities. Next the database structure and transaction functions are designed and then implemented according to those requirements. Finally, an API based cloud convergence service structure is designed to provide the analyzed information to ensure a trustworthy system.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.261-268
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• 2006

A hologram is a three-dimensional image reproduced from a pattern of interference produced by a split coherent beam of radiation. Therefore not only can it express the three dimensional properties of the object, but because of it ability to show the depth and spatial properties of the object holograms may be a more effective tool in advertising for its visual appeal. This study presents 'hologram'a three dimensional stereo imaging, as the expression technique in advertising of the next generation, and with proper understanding of 'hologram' and of all its potential applications discusses opportunities for advertisements that are distinct from the multi media advertisements of today. The basic concept of Holograms and their application methods were presented in the thesis, and by using Sales Promotion advertisement as example, discussed what elements are required in order to produce an effective advertisement using holograms.

• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.705-712
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• 2007

In spite of the fact that the food group(Food, Drinks and Health foods & Agricultural and Marine products) occupies little position in total sales of Internet shopping mall, the food group's sales in cyber shopping mall in 2006 have increased 678.1% over 5 years. In addition to the fact that the food consumption pattern has changed from quality-oriented to convenience, health and safety-oriented, the need to decrease the opportunity cost created by housework is rising in the context of increase of women's work participation rate. The wind of change like these will become the foundation on which cyber food industry will be developed. The factors having an effect on consumer purchasing intentions when one buy foods through internet shopping malls are researched in this thesis. For the investigation, women of 697 were surveyed by a questionnaire, and the data were analyzed by the SPSS for WINDOW(Version 12.0). The result is as follows: Factors having an effect on food purchasing intentions are Convenience(Timesaving, Troublesomeness), Customer service(Responsiveness, Reliability, Empathy, Tangibility), Perceived Customer Risk(Economic, Social, Performance risk) and Shopping experience(Easy to find out, Easy process for payment) in order.

• Land and Housing Review
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• v.11 no.2
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• pp.33-46
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• 2020

As the fastest growing office transaction volume in Korea, there's been a need for development of indicators to accurately diagnose the office capital market. The purpose of this paper is experimentally calculate to the office price index for effective benchmark indices in Seoul. The quantitative methodology used a Case-Shiller Repeat Sales Model (1991), based on actual multiple office transaction dataset with over minimum 1,653 ㎡ from Q3 1999 to 4Q 2019 in the case of 1,536 buildings within Seoul Metropolitan. In addition, the collected historical data and spatial statistical analysis tools were treated with the SAS 9.4 and ArcGIS 10.7 programs. The main empirical results of research are briefly summarized as follows; First, Seoul office price index was estimated to be 344.3 point (2001.1Q=100.0P) at the end of 2019, and has more than tripled over the past two decades. it means that the sales price of office per 3.3 ㎡ has consistently risen more than 12% every year since 2000, which is far above the indices for apartment housing index, announced by the MOLIT (2009). Second, between quarterly and annual office price index for the two-step estimation of the MIT Real Estate Research Center (MIT/CRE), T, L, AL variables have statistically significant coefficient (Beta) all of the mode l (p<0.01). Third, it was possible to produce a more stable office price index against the basic index by using the Moore-Penrose's pseoudo inverse technique at low transaction frequency. Fourth, as an lagging indicators, the office price index is closely related to key macroeconomic indicators, such as GDP(+), KOSPI(+), interest rates (5-year KTB, -). This facts indicate that long-term office investment tends to outperform other financial assets owing to high return and low risk pattern. In conclusion, these findings are practically meaningful to presenting an new office price index that increases accuracy and then attempting to preliminary applications for the case of Seoul. Moreover, it can provide sincerely useful benchmark about investing an office and predicting changes of the sales price among market participants (e.g. policy maker, investor, landlord, tenant, user) in the future.

• The Research Journal of the Costume Culture
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• v.7 no.5
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• pp.140-151
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• 1999

This research was designed to study the different kinds of ancient patterns applied to the Korean traditional suit and the symbolism associated with these patterns being used the prevalent Han-bok collections in markets. The shapes and changes in the use of the patterns can be summarized as follows. The published collections in the last 5 years were specifically concentrated between 1996 and 1997, proving that the development in Han-bok designs was most active during that time. But the trend decreased due to the effects of a depressed domestic economy. The plant pattern was the most utilized pattern for practical purposes. It looks beautiful and it is also easily manufactured with open space. Symmetrical and linear arrangements make customers feel stable at sight and these patterns tend to attract public gaze resulting in increased sales. There is a problem whether to continue using the existing patterns of the Han-bok without any correction or whether to copy the pattern of the kimono or the western suit. Copying other patterns definitely hurts the elegance of the Han-bok. It is time for us to not only keep our own traditions but also to study and develop new patterns that are distinct from the Chinese and Japanese patterns. The following are suggested as the basic materials.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.97-121
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• 2001

Until now, we have believed that one of advantages of cyber market is that it can virtually display and sell goods because it does not necessary maintain expensive physical shops and inventories. But, in a highly competitive environment, business model that does away with goods in stock must be modified. As we know in the case of AMAZON, leading companies already consider merchandise management as a critical success factor in their business model. That is, a solution to compete against one's competitors in a highly competitive environment is merchandise management as in the traditional retail market. Cyber market has not only past sales data but also web log data before sales data that contains information of path that customer search and purchase on cyber market as compared with traditional retail market. So if we can correctly analyze the characteristics of before sales patterns using web log data, we can better prepare for the potential customers and effectively manage inventories and merchandises. We introduce a systematic analysis method to extract useful data for merchandise management - demand forecasting, evaluating & selecting - using web mining that is the application of data mining techniques to the World Wide Web. We use various techniques of web mining such as clustering, mining association rules, mining sequential patterns.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.103-109
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• 2017

In this paper, the advancement in IT technology is not only inducing the multi-functionality of simple products but also changing even the lifestyle, that is, the pattern of consumers' daily life. The actual paradigm for the conversion from off-line to on-line is at the level of threatening the ecology of off-line. In this study, the diversified advancement method of off-line is in functional relationship with the increase in sales revenue and profits not only through the visit of consumers to the sales outlets for the simple purpose of making purchase but also through the application of augmented realities such as 3-dimensional sense in space and sense in reality, which are entertainment experience factors. Therefore, the improvement in the enhancement of sales revenues by applying augmented reality to off-line department store was researched in this study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.3049-3054
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• 2014

PST stands for the Premium Sales Tool for Product Consulting is customized product catalog system. In other words, the product classification categories of content for consulting and sales to customers by providing useful information for the maximization of an overall system. These problems with mobility and flexibility of updating the solution to integrate mobile with mobile devices, but high-performance high-resolutions era content data continuously, but still it is difficult to handle. In this paper, to solve this problem, depending on the user's gesture by allowing periodic allocation and release of a problem for load generation enhanced by improving the PST system has been designed and implemented. Implementation was a result of the test the performance of the system, that PA system that has been provided by the traditional DA system show the allocation and the average 78% of the rate of decrease the load is released in the frequency of page, CPU utilization was reduced an average 72% I was confirmed.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.119-129
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• 2014

The renowned Pareto rule of 80/20 has been challenged in the electronic marketplace with the emergence of long tail economy. Mass customization on top of the Internet infrastructure is expected to explain these changes of product concentration. In this paper, we empirically analyzed the micro-transactional data of a Groupon-like daily deal web site to identify the changes of product and customer concentration. The results show the long tail pattern aligned with the previous research on the e-commerce literature on the long tail. We find that the notification setting on email or SMS about daily deal influences the patterns of sales concentration. The information through email and SMS is expected to enable consumers to know about daily bargains and purchase the coupons eventually. However, the email notification for niche products results in the decreased sales while the SMS notification for overall product promotes overall products.