• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.215-221
• /
• 2019

The development of blockchain-based art trading platforms has not been revitalized despite the recent recovery of the cryptocurrency market. In this paper, we found that blockchain-based art trading platform is not revitalized due to the large volatility of cryptocurrency price. As a solution, we propose a trading system using dual types of cryptocurrency that one is Stablecoin and the other is legacy cryptocurrency. Through cryptocurrency dualization, the proposed system can satisfy both user's requirements of stability of art price and value growth of the blockchain system. In addition, the proposed system is expected to be able to balance the use of dual cryptocurrencies and market capitalization ratios according to market principles. Finally, the proposed cryptocurrency dualization is expected to be used in other applications that require both the stability of the value of transactions and the growth of the value of the blockchain system.

• Journal of the Korea Society for Simulation
• /
• v.23 no.4
• /
• pp.121-129
• /
• 2014

The importance of evaluation of farming performance has been increasing with the progress of farm size and capitalization, and with the introduction of the concept of the 6th industry to agriculture. In this research, ROIC(Return on Invested Capital) tree technique was examined as a new method for analyzing operations performance of supply chain for farm produce. Current practices of production and distribution of blueberry, model crop, were investigated and ROIC tree for blueberry has been set up from the survey of the supply chain. Then, it was simulated with real values collected from the participants in the supply chain and the previous studies using a spreadsheet program. The resulting ROIC value was compared with those of other industries and the conventional performance analysis method. Features of the evaluation technique were identified and it was proposed how to apply it to agricultural field in the future.

• Journal of architectural history
• /
• v.23 no.5
• /
• pp.47-60
• /
• 2014

Urban-Hanok emerged as a result of urbanization of Hanok in the modern period. In particular, Urban-Hanok has been mass-produced from the early 1920s, when the population is concentrated in cities, until the middle. Large-scale development by the professional developer has been developed in large-scale land rather than individual client because housing shortage was serious problem. 11 Gahoe-dong was made in 1935-36 is representative Urban-hanok area of Bukchon. It was formed through division of large-scale Land in 1930's. In the 1930's, the large-scale development projects of Urban-Hanok was triggered by the two events. One is Land Investigation Project performed by the Japanese government to capitalization of property, another is the pro-japanese bought the large scale-land in Gahoe-dong at bargain price from The Japanese government. Each lot has still a topographical characteristics such as land-dividing quality, the way of development, characteristic quality of urban-tissue. 11 Gahoe-dong, Urban-hanok area was developed two ways. First, development have been adapted to the topography. The lots have reflected topographical conditions such as land cutting area, a retaining wall, land-diving was maintaining the original topography almost. Second, it was street oriented development. The lots have developed sequentially along the street. So, the lots's shape and size is different each. For this reason, this area distribute various type of Hanok.

• The Korean Journal of Applied Statistics
• /
• v.25 no.1
• /
• pp.15-27
• /
• 2012

We have studied the realized variance(RV) of intra-day returns and market microstructure noise based on high-frequency stock transaction data for the four largest companies in terms of market capitalization in the KOSPI. First, non-negligible biases are observed for the RV and for the bias-corrected realized variance($RV_{AC_1}$) which is constructed by adjusting RV for the first order autocorrelation in intra-day returns. Bias is more obvious for the RV and the $RV_{AC_1}$ when intra-day returns are sampled more frequently than every 2 minutes. Transaction Time Sampling(TTS) is shown to be better than Calendar Time Sampling(CTS) in terms of biases of the RV and the $RV_{AC_1}$ for the 4 companies. The analysis reveals that market microstructure noise is temporally dependent. Second, by using the Noise-to-Signal Ratio(NSR), we estimate sampling frequencies that are optimal in terms of the Mean Square Errors(MSE) of the RV and the $RV_{AC_1}$. The optimal sampling frequencies are around 200 for RV and is around 5000 for the $RV_{AC_1}$ for all the four stock prices. For the 6 hour transaction period of the Korean stock trading, these correspond to about 2 minutes and 6 seconds.

• Journal of Korea Society of Industrial Information Systems
• /
• v.23 no.4
• /
• pp.81-92
• /
• 2018

Bitcoin is a cryptographic digital currency and has been given a significant amount of attention in literature since it was first introduced by Satoshi Nakamoto in 2009. It has become an outstanding digital currency with a current market capitalization of approximately $60 billion. By 2019, it is expected to have over 5 million users. Nowadays, investing in Bitcoin is popular, and along with the advantages and disadvantages of Bitcoin, learning how to forecast is important for investors in their decision-making so that they are able to anticipate problems and earn a profit. However, most investors are reluctant to invest in bitcoin because it often fluctuates and is unpredictable, which may cost a lot of money. In this paper, we focus on solving the Bitcoin forecasting prediction problem based on deep learning structures and neural decomposition. First, we propose a deep learning-based framework for the bitcoin forecasting problem with deep feed forward neural network. Forecasting is a time-dependent data type; thus, to extract the information from the data requires decomposition as the feature extraction technique. Based on the results of the experiment, the use of neural decomposition and deep neural networks allows for accurate predictions of around 89%.

• Journal of Fashion Business
• /
• v.20 no.2
• /
• pp.165-180
• /
• 2016

Capstone design, is a heartfelt cooperation curriculum because the ultimate goal is to train people who already have the ability to complete the tasks of the job without retraining them in the field immediately after being hired. However, there is a need for the design study in the fashion industry where a variety of operating models could be tried; more specifically case studies than engineering. This study was designed to apply to the types of voluntary projects and industrial challenges linked to the different types of virtuous circle window systems over twice in two years. Result capitalization applied to different types of derived forms associated with start-up technology transfer form. In addition, start-up will be done in conjunction with student-centered forms of the participation of Cooperation Coordinator. This was weak in the form of technology transfer interventions which were made as a result of the overall involvement of the industry. In order to elicit the active participation of the industry it is expected that this system will have an ideal company to reflux. Therefore, reflux that created assets to the students, and the reflux of product design created by students in companies professor final a virtuous cycle system operating models that can derive enhancements accept feedback to both students and companies redefining the performing models It presented. This operating model is considered to be able to provide you with a sense of accomplishment and high experiential value to both students and professors, and the industry. In this study, experiments in environmental A Study, silseupbi no support will be given to alternatives to solve them.

• Management & Information Systems Review
• /
• v.31 no.4
• /
• pp.469-490
• /
• 2012

This study reviews the issue of endogeneity which has gained in importance in the empirical accounting researches in recent years. In so doing, I aim to call attention to the extent to which the presence of endogeneity limits the validity of empirical testing of models. More specifically, this paper explains what endogeneity is, its causes and consequences, and potential ways of managing the problem. The issues that concern endogeneity include, in the main, omitted variables, simultaneity, equilibrium conditions, choice variables. In this paper, I also discuss the implications derived from several selected empirical accounting research topics, that explicitly dealt with the problem of endogeneity. These include, among others, Oswald and Zarowin's (2007) study on the informativeness of capitalization of R&D, Hazarika et al. (2012) focusing on the relationship among internal corporate governance, CEO turnover, and earnings management, and a series of literature devoted to the associations between corporate governance structure and firm values. Finally, possible approaches for dealing with endogeneity are discussed.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.9 no.1
• /
• pp.221-240
• /
• 1998

This study concerns information quality of the database which has been produced in the ASKERIC database. The measures used in this study were accuracy of the records. consistency, completeness and currency. Accuracy was measurred in terms of the keywords used in different ways in the US and Britain and the spelling errors in the records. Consistency was measured in terms of 'see also' and 'see reference' mechanism and character capitalization. Completeness was measured as follows： completeness of the search fields in the record and relevance of search fields. Currency was measured using the publication date. The experimental result showed that ERIC databases had some errors in terms of accuracy. consistency. completeness and currency. However, continuous striving for the automatic error checking functions and the policy of feedback from users have contributed to the improvement of the quality in ERIC databases.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.1
• /
• pp.221-226
• /
• 2006

Around 2002, the United States Coast Guard (USCG) identified a need to re-capitalize their Reference Station (RS) and Integrity Monitor (IM) equipment used in the Nationwide Differential Global Position System (NDGPS). Commercially available off-the-shelf differential RS and IM equipment lacked the open architecture required to support long-term goals that include future system improvements such as use of new civil frequencies on L2 and L5 and realization of a higher rate NDGPS beacon data channel intended to support RTK. The first step in preparing for this future NDGPS was to port current RTCM SC-104 compatible RS and IM functionality onto an open architecture PC-based platform. Trimble's product Charisma is a PC-based RS and IM software designed to meet these USCG goals. In fact USCG engineers provided key designs and design insights throughout the development. We cannot overstate the contribution of the USCG engineers. Fundamental requirements for this effort were that it be sufficiently flexible in hardware and software design to support fluid growth and exploitation of new signals and technologies as they become available, yet remain backward compatible with legacy user receivers and existing site hardware and system architecture. These fundamental goals placed an implicit adaptability requirement on the design of the replacement RS and IM. Additionally, project engineers were to remain focused on sustaining the high level of differential GPS service that 1.5 million legacy users have come to depend on. This paper will present new hardware and software (i.e., Trimble's Charisma software) architecture for the next generation NDGPS RS and IM. This innovative approach to engineering on an open architecture PC-based platform allows the system to continue to fulfill legacy NDGPS system requirements and allows the USCG and others to pursue a scalable hardware re-capitalization strategy. We will use the USCG's recapitalization project to explain the essential role of the Charisma software.

• Environmental and Resource Economics Review
• /
• v.27 no.3
• /
• pp.545-567
• /
• 2018

This study applied and compared Poisson model, negative binomial model, zero inflated Poisson model, and zero inflated negative binomial model to estimate determinants of employed labour quantity. To estimate each of models, this study used fisheries census data which were obtained at microdata integrated service running by Statistics Korea. The study selected zero inflated negative binomial model according to the Vuong test and Likelihood-ratio test. In addition, the study estimated fishing village's practical changes on employed labour quantity as analyzing changes from 2010 to 2015. The results showed that the household with fishing vessels and high selling price had a significant effect on decrease of the labour quantities. Meanwhile, the longer work experience of the household, the more significant the increase in the labour quantities. In conclusion, this study presented that capitalized fishing household and the acceleration of aging had a significant impact on the change in the labour quantities.