• Journal of Information Technology Applications and Management
• /
• v.26 no.4
• /
• pp.41-50
• /
• 2019

Block chain technology revolutionizes the 'double entry bookkeeping' of accounting principles in 600 years. It will be an opportunity for you to become one. The advent of the block chain will revolutionize the accounting world. It is no exaggeration to say that it is a skill. The use of block chains for accounting leads to the occurrence of transactions. It's easy to identify a transaction, and it's easy to fake or tamper with it. The accounting industry because it is difficult to communicate transparent accounting information to stake holders. Transformations will be possible across the board (Carlozo, 2017). An entity shall provide financial information that is useful to interested parties in making reasonable economic decisions. Transactions arising from business activities are recorded and provided in the books. Interested parties are here. We need to make decisions to protect our interests and make those decisions rationally. To make a decision, we know how the outcome of the decision will affect our self-interest. Because it has to do so, it uses corporate information for this purpose. But the investor is one way of doing business. It is difficult to trust the information provided by (Yermack, 2017). As a result, ICO companies, startups, small businesses lose a lot of business opportunities because they don't have investors. In addition, the management mixes cash flows with accounting interests to indicate changes in cash flows. It experiences failure in its business due to its inability to analyze and predict faithfully. But it's a blockhead in accounting. Applying the factors and recording them in the book will result in a number of benefits for different stake holders. It can be provided. The financial information in the block chain is not subject to further review or verification. It can improve the timeliness and increase reliability of financial information because it cannot be forged or tampered with (Delloitte, 2016). Based on the fourth industrial revolution, the pace of change in all sectors of society has never been faster. Based on block chain technology, decision-making structure is based on vertical structure of the past. Transforming into a horizontal structure collapses existing tools and advances transparency and decentralization a change of Copernican interpersonal awareness with the trend of the times, which is becoming angry with modern people.

• The Journal of Society for e-Business Studies
• /
• v.23 no.3
• /
• pp.13-32
• /
• 2018

Btcoin has made a big progress through anonymity, decentralized authority, sharing economy, multi-ledger book-keeping, block-technology and the convenient financial vehicle. Bitcoin has the characteristics of mining and supply by decentralized suppliers, limited supply quantity and the partial money-like function as well as gold. The paper studies the hedge and safe-haven of Bitcoin and gold on daily frequency data over the period of July 20, 2010-Dec. 27, 2017 employing Asymmetric Vector GARCH. It finds that gold has the hedge and safe-haven against inflation and capital markets while Bitcoin has the weak hedge and the weak safe-haven. It shows insignificant effects of inflations of US and Korea on the volatilities of Bitcoin and gold. It also suggests the necessity of clearing of vagueness behind the anonymity for fair and transparent trade through the law application in the absence or fault in law (Lucken im Recht). following the spirit of the living constitution (lebendige gutes Recht oder Vorschrift). The relevant institutions are hoped to be given some of obligations such as registration, minimum required capital. report, disclosure, explanation, compliance and governance with autonomous corresponding rights. The study also suggests the reestablishment of the relevant financial law and taxation law. The hedge would not be successfully accomplished without the vigilant cautions of investors.

• Ocean policy research
• /
• v.33 no.2
• /
• pp.183-204
• /
• 2018

Whaling has been banned in Republic of Korea after the declaration of the moratorium on the commercial whaling by the International Whaling Commission (IWC) since 1986. Korean government followed the moratorium immediately. However whale meat market has been kept by the bycaught whales and dolphins. So Korean government established a rule to control and trace whale meat in the market in 2011. The rule has some loopholes to allow illegally taken whale meat smuggle into the market. This study investigates the flaws in the current rule and recommend the way to overcome that defects. The first step is to prevent the entry of the illegal whale meat into the market. Minor change of the current law would be a solution. The next measure is to increase the sampling rate of the whale DNA that allowed to distribute in the market. The DNA database would be a powerful tools to identify illegal whale meat which is existing in the market. Korean government is operating three kind of food traceability systems. However, because of the legal limitations and the opposition of the non-governmental animal rights organizations, it is difficult to include whale meat to the existing systems. So the last step is to establish a new Traceability System with a state-of-the-art IT technology like as blockchain. The three measures mentioned above would increase the transparency in the whale meat market and prevent the entry of the illegal products.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.377-396
• /
• 2023

As the cryptocurrency market continues to grow, it has developed into a new financial market. The need for investment strategy research on the cryptocurrency market is also emerging. This study aims to conduct an empirical analysis on an investment methodology of cryptocurrency that combines short-term trading strategy and deep learning. Daily price data of the Ethereum was collected through the API of Upbit, the Korean cryptocurrency exchange. The investment performance of the experimental model was analyzed by finding the optimal parameters based on past data. The experimental model is a volatility breakout strategy(VBS), a Long Short Term Memory(LSTM) model, moving average cross strategy and a combined model. VBS is a short-term trading strategy that buys when volatility rises significantly on a daily basis and sells at the closing price of the day. LSTM is suitable for time series data among deep learning models, and the predicted closing price obtained through the prediction model was applied to the simple trading rule. The moving average cross strategy determines whether to buy or sell when the moving average crosses. The combined model is a trading rule made by using derived variables of the VBS and LSTM model using AND/OR for the buy conditions. The result shows that combined model is better investment performance than the single model. This study has academic significance in that it goes beyond simple deep learning-based cryptocurrency price prediction and improves investment performance by combining deep learning and short-term trading strategies, and has practical significance in that it shows the applicability in actual investment.

• Industry Promotion Research
• /
• v.8 no.2
• /
• pp.21-27
• /
• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2023.04a
• /
• pp.7-7
• /
• 2023

Currently, the main technologies of various fourth industries are big data, the Internet of Things, artificial intelligence, blockchain, mixed reality (MR), and drones. In particular, "digital twin," which has recently become a global technological trend, is a concept of a virtual model that is expressed equally in physical objects and computers. By creating and simulating a Digital twin of software-virtualized assets instead of real physical assets, accurate information about the characteristics of real farming (current state, agricultural productivity, agricultural work scenarios, etc.) can be obtained. This study aims to streamline agricultural work through automatic water management, remote growth forecasting, drone control, and pest forecasting through the operation of an integrated control system by constructing digital twin data on the main production area of the nojinot industry and designing and building a smart farm complex. In addition, it aims to distribute digital environmental control agriculture in Korea that can reduce labor and improve crop productivity by minimizing environmental load through the use of appropriate amounts of fertilizers and pesticides through big data analysis. These open-field agricultural technologies can reduce labor through digital farming and cultivation management, optimize water use and prevent soil pollution in preparation for climate change, and quantitative growth management of open-field crops by securing digital data for the national cultivation environment. It is also a way to directly implement carbon-neutral RED++ activities by improving agricultural productivity. The analysis and prediction of growth status through the acquisition of the acquired high-precision and high-definition image-based crop growth data are very effective in digital farming work management. The Southern Crop Department of the National Institute of Food Science conducted research and development on various types of open-field agricultural smart farms such as underground point and underground drainage. In particular, from this year, commercialization is underway in earnest through the establishment of smart farm facilities and technology distribution for agricultural technology complexes across the country. In this study, we would like to describe the case of establishing the agricultural field that combines digital twin technology and open-field agricultural smart farm technology and future utilization plans.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.42 no.12
• /
• pp.79-90
• /
• 2005

In this paper, we propose a new clustered reconfigurable interconnect network (CRIN) BIST to improve the embedding probabilities of random-pattern-resistant-patterns. The proposed method uses a scan-cell reordering technique based on the signal probabilities of given test cubes and specific hardware blocks that increases the embedding probabilities of care bit clustered scan chain test cubes. We have developed a simulated annealing based algorithm that maximizes the embedding probabilities of scan chain test cubes to reorder scan cells, and an iterative algorithm for synthesizing the CRIN hardware. Experimental results demonstrate that the proposed CRIN BIST technique achieves complete fault coverage with lower storage requirement and shorter testing time in comparison with the conventional methods.

• Journal of Korea Game Society
• /
• v.17 no.6
• /
• pp.113-120
• /
• 2017

With the development of virtual reality technology, in recent years, user-friendly hand gesture interface has been more studied for natural interaction with a virtual 3D object. Most earlier studies on the hand-gesture interface are using relatively simple hand gestures. In this paper, we suggest an intuitive hand gesture interface for interaction with 3D object in the virtual reality applications. For hand gesture recognition, first of all, we preprocess various hand data and classify the data through the binary decision tree. The classified data is re-sampled and converted to the chain-code, and then constructed to the hand feature data with the histograms of the chain code. Finally, the input gesture is recognized by MCSVM-based machine learning from the feature data. To test our proposed hand gesture interface we implemented a 'Virtual Block' game. Our experiments showed about 99.2% recognition ratio of 16 kinds of command gestures and more intuitive and user friendly than conventional mouse interface.

• The Journal of Fisheries Business Administration
• /
• v.52 no.1
• /
• pp.65-82
• /
• 2021

This study utilizes the IPA (Importance-Performance Analysis) method to assess the importance, possibility, and urgency of using blockchain technology for fisheries sectors and the related policies. Based on a field survey targeting experts and stakeholders in the fisheries and blockchain technology sectors, the following major results and corresponding implications are drawn. First of all, the respondents of our survey have an outlook that the introduction and utilization of blockchain will be required in four major parts. These parts include i) the seafood' information system managed by the government or public institutions, ii) traceability and certification process for domestic and foreign seafoods, iii) meeting the need of seafood safety from consumers, and iv) taking prompt actions to seafood safety related accidents. Next, the seafood information system managed by the government or public institutions has been limited in maintaining information consistency and continuity once the fisheries ministries and departments are integrated, closed or partially transferred. Thus, it is assessed that the technology will be able to improve consistency and continuity of the seafood information in case of applying blockchain to the seafood information management system. This result that blockchain is necessary for the seafood information system have a significant implication in Korea's seafood management which has been independently controlled until now. Lastly, the application of blockchain to seafood traceability and certification systems has the most well-known cases through international and domestic pilot projects, and the results of our survey reflect this reality. Our results contribute to showing an additonal characteristics of blockchain in the fisheries sector, resulting in the possiblity that blockchain can be used for taking swift steps in the event of seafood safety accidents and meeting the need of seafood consumers for safety.

• Journal of Korean Society for Quality Management
• /
• v.50 no.1
• /
• pp.43-61
• /
• 2022

Purpose: The purpose of this study was verifying factors that affect to intention to use AI financial services and finding a way of building an user oriented AI ecology. Methods: This study used the UTAUT (Unified Theory of Acceptance and Use of Technology) model with independent variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, trust, personal innovativeness and AI understanding as moderating variable. The data was collected through online & offline survey with questionnaire from 330 financial customers. Results: As a result, the analysis suggested that the performance expectancy, social influence, facilitating conditions, personal innovativeness are statistically significant to the intention to use AI. It was also found that AI knowledge of users differently influence the intention to use through the moderating effect on the facilitating conditions. Conclusion: Performance expectancy, social influence, facilitating conditions, personal innovativeness have positive causation to the intention to use in AI financial service. On the facilitating conditions, unlike other variables, it was found that the user's intention to use was different by the level of AI understanding. It means that customers could have the strong intention to use AI even though they don't have enough pieces of knowledge on the factors. Customers seem to be of recognition that the technology has certain benefits for themselves. The facilitating factors are significantly affected by AI understanding and differently effect on the intention to use AI.