• The Journal of the Korea Contents Association
• /
• v.18 no.11
• /
• pp.55-62
• /
• 2018

Many domestic and international countries recently apply the blockchain technology to its related application fields. Not the enterprise-centered economy, the concept of the sharing economy which is controlled by individuals has been expanded. However, the development of the necessary system to realize the sharing economy in the agricultural sector has still been insufficient. Because the agricultural machinery rental business in the recent agricultural policies is managed by the government and the local government keeps and provides limited quantities and resources, its operation system has several problems. In case of high-priced agricultural machines, the machines can not be supplied adequately at the right time due to the limited quantities during the busy farming season. This paper proposes the sharing system that individual owners rent their agricultural machinery to growers using the blockchain technology. Thus, the proposed system provides the distributed method to solve agricultural machines of a lack of resources and also gives the secure service to all the growers.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.271-278
• /
• 2020

Modern financial services go beyond the stage of internet banking, and new concepts of financial transactions such as Internet of Things, mobile banking, electronic payments, and fintech have emerged. As a result, banks are less influential in financial transactions, and changes are being demanded. In the present era, the basic business of banks has decreased, and it is transforming into a space where both consumer finance work and reside. The bank office stands for the brand image of the bank, and it is represented by trust with customers in the basic business of financial transactions, and the rise in real estate value is a natural social phenomenon due to the nature of the location and location of real estate owned by the bank. The business method and space of the bank office that meets the new paradigm of the modern society is an inefficient space only for the convenience and rest of consumers, but it must be used as a variety of spaces suitable for the region to increase the functional value of the bank office. Through this study, as a convenience space for consumers, various service facilities should be introduced to understand the characteristics of the region as a convenience space for consumers, and various service facilities should be introduced to meet the needs of consumers, and the bank office should be improved as a complex service space for local residents.

• Proceedings of the Korea Database Society Conference
• /
• 1999.06a
• /
• pp.175-186
• /
• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support fer multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To date, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques' results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.175-186
• /
• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.8
• /
• pp.45-53
• /
• 2019

Purpose - The purpose of this study was to clarify the factors to make an exclusive importation contract between foreign fashion brands and local retailers for successful business in Korea. Even though imported fashion brand market shows stead increasing in terms of sales amount, the number of store related study was very rare in fact. Meanwhile, as long as this business is glowing a lot of brands are suffering from bad business performance or getting in ruins thus these problems result in foreign currency loss. The local marketers therefore, strongly expect to know the solution for this matter. Research design, data, and methodology - For the qualitative research, 10 experts who are operating foreign brands with an exclusive contract at a department store or at duty free shop now and who had at least over 10 years of related working experience were included. The factors for the exclusive importation contract with foreign brands were drawn up through the one-to-one in-depth interview method from September 3, 2017 to January 15, 2018. The expert group for the validity analysis includes 2 professors and 5 postgraduate students. Results - As a result of qualitative study on the factors for imported fashion brand's launching with the exclusive importation contract, it turned out that there were 5 factors - safety, profitability, reliability, speed and global retailing. Safety, profitability, and reliability have been mentioned in most related surveys but some details are added and speed and global retailing have been newly highlighted and many unknown legal issues that it was not easy to get form common academic research are included. Speed simply means quick lead time and global retailing means stores where located in other countries. Conclusions - The reason that qualitative research should be done before the quantitative research is due to the scant theoretical background for this matter. Because the market of an imported fashion brand is steadily increasing, determining the factors to make exclusive importation contract is very meaningful from the point of academic and business. After this study, many marketers may get basic conditions to apply for real business and I hope the following quantitative research will give more effective results. The next study also will have extended range concerning industry area, product and distribution channel.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.6
• /
• pp.43-54
• /
• 2020

This paper investigates the causal impact of the increase in institutional distance between two geographic regions on the flow of cross-border Venture Capital (VC) between the regions. While cross-border VCs are believed to have competitive advantages at identifying and managing promising startups in a local market compared to local counterparts, the discrepancy in institutional characteristics between two markets exacerbates the difficulty of credible information exchange and negotiation, significantly increasing transaction cost related to a cross-border venture capital investment. This study conducts a difference-in-difference analysis to examine the relationship between institutional distance and the flow of cross-border VC investment using the fact that the official adoption of the Euro currency by member countries of the European Union except the UK created an institutional chasm between the UK and other EU member countries. The outcomes of the analysis suggests that UK-based VCs significantly decreased the VC investment into EU-based startups and that EU-based VCs reduced the investment into UK-based startups. The results have meaningful implications for understanding the impact of the change in institutional difference on cross-border VC investment, which seems to increasingly take place with the recent trend of de-globalization and the rise of protectionism.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.2
• /
• pp.187-193
• /
• 2021

In February 2020, Gyeonggi-do paid the world's first Data Dividend to local residents of Gyeonggi Province who produced data using local currency. Currently, Data Dividend is being paid to consumers who have produced data, but this paper studied the expansion of Data Dividend qualifications according to the contribution to creating added value. First, it raised the question of whether it is right for the recipient of Data Dividend to have only the consumers who produced the data. Second, by analyzing the four elements of data valuation criteria that influenced the creation of added value identified the objects that influence the creation of added value. The 4 factors were divided into productivity, effectiveness, concreteness, and usability, and the objects corresponding to each factor were analyzed. Accordingly, it was determined whether platform workers contributed to the creation of added value. In conclusion, it was confirmed that not only consumers, who were the first data producers, but also platform workers who contributed to the concreteness of data valuation to create added value can qualify for Data Dividend. Since this paper focuses on the necessity of data allocation centered on platform workers among the objects, the validity of objects that influence added value other than platform workers are excluded.

• Journal of Korea Multimedia Society
• /
• v.16 no.8
• /
• pp.982-993
• /
• 2013

Currency crisis, in order to solve the problem of the polarization of economic and serious youth unemployment rate, to prepare for the smart new economic era, and like to support and nurture the one-persion creating company of mobile app industry of central and local government people policies are underway. To be able to contribute to the establishment of the success of mobile app One-person creating company, to target the mobile app One-person creating company int the Busan region, we conducted an empirical study of success factors, and thus, support these solutions, more effective and efficient in an attempt to try to seek the support measures, was carried out this research. In this study, results derive a research three hypotheses about the success factors of One-person creating company through literature discussion, were investigated on the basis of empirical data of the mobile app one-persion creative company of Busan region of 51 individual, establishment of company period is longer, the number of organizations employee is large and attract a lot of external funds, and was able to find the tendency of more entrepreneurs receives an education, may increase an outcome of business. In this study, it is possible to obtain the policy implications as follows. First, to attract investment funds and attract government funding to support the funding of One-person creating company, it is necessary to pay attention more. Second, policy founder to an education about the management on an ongoing basis is needed than the education of marketing and technology for human resources development. Future, you will be able to expand across the country study company, we have established a policy of mobile app industry of national dimension, in this foundation, will be expanded to all industries.

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.151-160
• /
• 2015

As a lexical meaning, casino is defined as "a certified gambling house, equipped with recreational facilities such as dance and music, etc., where people play roulette or cards." Casinos started from 17th to 18th century for European nobility and their social meetings and established a casino industry framework in the United States in the 1930s. The success of the casino business leads to the increase of sales; it became very helpful for the local and national government revenues and also for the related incidental tasks. Casino operations include a variety of fields, such as general customer management, dealer game management, security, account management, currency exchange, re-exchange management, marketing management, comp management and placement management, etc. These operations should be organically connected to each other by information systems such as a groupware, ERP and Customer Relationship Management (CRM), etc. In addition, in order to effectively manage comprehensive entertainment service, including accommodation and tourism, it is necessary to develop an information system which supports casino business and collateral entertainment service, collects the data generated throughout the business and provides information about the situations of management. Thus, this study will propose a casino information system designed and implemented, considering these details.

• Journal of Convergence for Information Technology
• /
• v.10 no.11
• /
• pp.47-54
• /
• 2020

This study proposes an NFC-based payment system that considers user convenience while expanding the existing payment method for RFID-based individual food and logistics waste equipment. In line with this trend, I proposed to apply NFC to the existing RFID-based food meter to release the food in the meantime and to address the problem of re-carrying due to card loss, card not possessed, and non-filling, and the question that could not be identified by various cumbersome procedures. NFC's function alone has been certified for its convenience, which led to its introduction and research in the period of time. Of course, we need to negotiate fees with the transportation card company, but if we see a market share related to transportation card soon, we think smooth negotiations will take place. NFC method will be expanded to all phones with iPhone NFC opening. Therefore, in the next study, we intend to apply the payment system in NFC by linking with local currency, mobile vouchers, and card companies, which are being paid as respective payment means according to the recent emergency support system for COVID-19.