• 산업경영시스템학회지
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• 제44권2호
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• pp.140-152
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• 2021

During the shift from gasoline vehicles to electric ones, auto parts manufacturing companies have realized the importance of improvement in the manufacturing process that does not require any layout changes nor extra investments, while maintaining their current production rate. Due to these reasons, for the auto part manufacturing company, I-company, this study has developed the simulation model of the PUSH system to conduct a process analysis in terms of production rate, WIP level, and logistics work's utilization rate. In addition, this study compares the PUSH system with other three manufacturing systems -KANBAN, DBR, and CONWIP- to compare the performance of these production systems, while satisfying the company's target production rate. With respect to lead-time, the simulation results show that the improvement of 77.90% for the KANBAN system, 40.39% for the CONWIP system, and 69.81% for the DBR system compared to the PUSH system. In addition, with respect to WIP level, the experimental results demonstrate that the improvement of 77.91% for the KANBAN system, 40.41% for the CONWIP system, and 69.82% for the DBR system compared to the PUSH system. Since the KANBAN system has the largest impacts on the reduction of the lead-time and WIP level compared to other production systems, this study recommends the KANBAN system as the proper manufacturing system of the target company. This study also shows that the proper size of moving units is four and the priority allocation of bottleneck process methods improves the target company's WIP and lead-time. Based on the results of this study, the adoption of the KANBAN system will significantly improve the production process of the target company in terms of lead-time and WIP level.

• 정보화정책
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• 제28권1호
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• pp.64-76
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• 2021

본 연구는 개인정보처리자 관점에서 개인정보보호 활동에 영향을 미치는 요인을 확인하고, 개인정보처리자 스스로 보호 활동을 강화하기 위한 방안을 모색하는데 있다. 요인 탐색을 위해 보호동기이론을 바탕으로 위협평가와 대처평가요인으로 대표되는 주요 요인을 선정하였으며, 요인별 영향분석을 위해 다항로짓모형을 활용하였다. 분석결과, 소규모 개인정보를 보유한 영세 개인정보처리자는 스스로 개인정보 보호 활동을 수행할 수 있도록 보호조치 점검도구 등 시스템 및 기술지원과 인식제고를 위한 교육지원이 필요하다. 그리고 대규모 개인정보를 보유한 개인정보처리자는 예산 및 조세지원 등 개인정보 보호 강화를 위한 투자를 장려하며, 실무 중심의 전문교육 지원이 필요한 것으로 나타났다.

• 지식경영연구
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• 제22권1호
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• pp.21-37
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• 2021

본 연구의 목적은 일반적으로 공유되어 있지 않은 Multi Strategy 관련 금융투자 지식을 사례 연구를 통해 탐색하고 이를 국내 헤지 펀드 시장에 공유하는데 있다. 현재 국내에서 본격적인 사모 헤지펀드 시대가 열리면서 많은 펀드들이 만들어지고 있지만 전략의 다양성에 있어 부족한 것이 현실이다(이준서, 2016). 초기 단순한 Equity Long/Short 전략으로 시작되어 메자닌, 대체투자 등 여러 전략들이 활용되고 있지만 Multi Strategy를 활용한 펀드는 제한적인 상황이다. 본 연구에서는 증권사 Prop Trading에서 적극적으로 활용되고 있는 Multi Strategy 기법을 이용해 Absolute Return을 달성하는 과정과 결과에 대한 사례 분석을 바탕으로 헤지펀드 운용전략에 대한 실증적인 활용 방안을 제시하고자 한다. 본 연구의 결과를 통해 헤지펀드 시장에서 Multi Strategy를 활용해 Absolutr Return을 추구하고자 하는 연구자 및 실무에서 운용하는 펀드매니저가 지식을 탐색하고 공유해서 금융 경쟁력 강화를 도모하는데 기여하고자 한다.

• 한국IT서비스학회지
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• 제19권6호
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• pp.131-144
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• 2020

As the blockchain technology attracts attention, interest in cryptocurrency that is received as a reward is also increasing. Currently, investments and transactions are continuing with the expectation and increasing value of cryptocurrency. Accordingly, prediction for cryptocurrency price has been attempted through artificial intelligence technology and social sentiment analysis. The purpose of this paper is to develop a deep learning ensemble model for predicting the price fluctuations and one-day lag price of cryptocurrency based on the design science research method. This paper intends to perform predictive modeling on Ethereum among cryptocurrencies to make predictions more efficiently and accurately than existing models. Therefore, it collects data for five years related to Ethereum price and performs pre-processing through customized functions. In the model development stage, four LSTM models, which are efficient for time series data processing, are utilized to build an ensemble model with the optimal combination of hyperparameters found in the experimental process. Then, based on the performance evaluation scale, the superiority of the model is evaluated through comparison with other deep learning models. The results of this paper have a practical contribution that can be used as a model that shows high performance and predictive rate for cryptocurrency price prediction and price fluctuations. Besides, it shows academic contribution in that it improves the quality of research by following scientific design research procedures that solve scientific problems and create and evaluate new and innovative products in the field of information systems.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.81-88
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• 2021

The presented scientific research substantiates the principles of the mechanism of the investment resources involvement in order to introduce innovations at enterprises in the context of digitalization using a resource-functional approach. The importance of attracting investment resources, which contributes to the modernization of production systems, the creation of a stable economic field of development of economic entities, is justified. The expediency of application of the resource-functional approach on research of the mechanism of attraction of investment resources for introduction of innovations at the enterprises in the conditions of digitalization is proved. The investment process is presented in the form of a chain of interdependent processes which include: attraction of investment resources, investments, increase of investment value, profit. It is proved that the mechanism of attracting investment resources for the introduction of innovations in enterprises in the context of digitalization cannot be considered in isolation from the process, due to the fact that the mechanism is aimed at performing specific functions. The functions of the mechanism include management, complex, coordination, monitoring, performance and control functions. Functions of the mechanism of attraction of investment resources for introduction of innovations at the enterprises in the conditions of digitalization are caused by the purposes of attraction of investment resources for innovative development; the presence of an objective nature; relative independence and homogeneity; implementation of functions in the process of investing in innovative activities of the enterprise.

• 한국중재학회지:중재연구
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• 제32권2호
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• pp.85-114
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• 2022

When human rights disputes are related to the cross-border investments treaties, the investment arbitral tribunals are confronted with the question of how to adjudicate connected human rights violations. The traditional structure restricts arbitration proceedings to the parties named within an investment treaty, i.e., Investor-Claimant and State-Respondent. If human rights issues occur, States must act as proxies for citizens with human rights claims. This effectively excludes individuals or groups with human rights concerns and contradicts the premise of international human rights law that seeks to empower human rights-holders to pursue claims directly and on an international stage. The methods for intorducing human rights issues in the context of investment arbitration proceedings are suggested as follows: First, human rights arguments can be introduced into ISDS by the usual initiator of investment disputes: the investor as the complainant. Especially, if the jurisdictional and applicable law clauses of the respective international investment agreements are sufficiently broad to include human rights violations, adjudicating a pure human rights claim could be possible. Second, the host state may rely on human rights argumentation as a respondent of an investor claim. Human rights have played a role as a justification for state measures undertaken to comply with human rights laws. Third, third party interventions by NGOs and civil society groups as amici curiae may act as advocates for affected populations or communities in response to the reluctance of governments to introduce their own human rights duties into the investment dispute. Finally, arbitrators have also referred to human rights ex officio, i.e., without having a dispute party referring to the specific argument. This was mainly the case in the context of determining the scope of property rights and the existence of an expropriation. As all U.N. member states have human rights obligations, international investment laws must be presumed to be in conformity with the relevant human rights obligations.

• 인터넷정보학회논문지
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• 제23권1호
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• pp.11-17
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• 2022

Data mining is the task of accessing useful information from a large capacity of data. It can also be referred to as searching for correlations that can provide clues about the future in large data warehouses by using computer algorithms. It has been used in the tourism field for marketing, analysis, and business improvement purposes. This study aims to analyze the tourist profile in Turkey through data mining methods. The reason relies behind the selection of Turkey is the fact that Turkey welcomes millions of tourist every year which can be a role model for other touristic countries. In this study, an anonymous and large-scale data set was used under the law on the protection of personal data. The dataset was taken from a leading tourism company that is still active in Turkey. By using the k-means clustering algorithm on this data, key parameters of profiles were obtained and people were clustered into groups according to their characteristics. According to the outcomes, distinguishing characteristics are gathered under three main titles. These are the age of the tourists, the frequency of their vacations and the period between the reservation and the vacation itself. The results obtained show that the frequency of tourist vacations, the time between bookings and vacations, and age are the most important and characteristic parameters for a tourist's profile. Finally, planning future investments, events and campaign packages can make tourism companies more competitive and improve quality of service. For both businesses and tourists, it is advantageous to prepare individual events and offers for the three major groups of tourists.

• 한국IT서비스학회지
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• 제21권2호
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• pp.97-107
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• 2022

Recently, interest in smart factories is increasing. Investments to improve intelligence/automation are also being made continuously in manufacturing plants. Facility automation based on sensor data collection is now essential. In addition, we are operating our factories based on data generated in all areas of production, including production management, facility operation, and quality management, and an integrated standard information system. When producing LCD polarizer products, it is most important to link trace information between data generated by individual production processes. All systems involved in production must ensure that there is no data loss and data integrity is ensured. The large-capacity data collected from individual systems is composed of key values linked to each other. A real-time quality analysis processing system based on connected integrated system data is required. In this study, large-capacity data collection, storage, integration and loss prevention methods were presented for optimization of LCD polarizer production. The identification Risk model of inspection products can be added, and the applicable product model is designed to be continuously expanded. A quality inspection and analysis system that maximizes the yield rate was designed by using the final inspection image of the product using big data technology. In the case of products that are predefined as analysable products, it is designed to be verified with the big data knn analysis model, and individual analysis results are continuously applied to the actual production site to operate in a virtuous cycle structure. Production Optimization was performed by applying it to the currently produced LCD polarizer production line.

• 문화기술의 융합
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• 제7권4호
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• pp.807-814
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• 2021

코로나-19로 인해 경제 활동이 낮아지고 주식 시장이 침체하면서 주식 투자를 통해 또 다른 소득을 마련하기 위해 많은 사람이 주식 시장에 뛰어들고 있다. 사람들의 관심이 높아지면서 더 많은 수익을 얻기 위한 주가 분석 연구가 많이 진행되고 있다. 주가는 종목별 변동의 흐름이 다르므로 각 주가 종목별로 독립적이며 일관적으로 분석할 필요가 있다. 이러한 문제를 해결하고자 본 논문에서는 강화학습 기법 중 하나인 Asynchronous Advantage Actor-Critic(A3C)를 이용하여 주가를 분석할 수 있는 모델 및 서비스를 설계 및 구현하였다. 주식 시장 데이터로 종목별 주가 및 국채, 코스피와 같은 외부 요인들을 반영하였다. 또한 웹페이지 제작을 통해 시각화한 정보를 제공하여 투자자들이 투자 기업에 대한 재무제표를 비롯하여 국내외 경제 및 정치의 흐름을 모두 분석하지 않고도 안전한 투자를 할 수 있도록 서비스를 제공한다.

• Journal of Korea Trade
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• 제24권7호
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• pp.38-53
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• 2020

Purpose - A financial crash triggers asset fire sales by foreign investors and, as a consequence, the price of domestic assets severely decreases. Domestic investors take advantage of these low prices by replacing foreign assets with domestic assets, which helps to alleviate the liquidity shock caused by foreigners. However, is the amount of capital retrenchment by domestic investors sufficient to protect the Korean economy from capital stop by foreign investors during financial crisis? This paper answers this question and suggests the implications of this phenomenon for the Korean economy. Design/methodology - We estimate the associations between capital stop and retrenchment and various financial crises such as banking, currency, debt, and inflation crises using the complementary log-log model. Specifically, we use data of gross capital flows to differentiate between the role of foreign and domestic investors in financial markets. Capital stop and retrenchment designate a sharp decrease in gross capital inflows and outflows, respectively. Findings - Capital stop is significantly associated with financial crises, especially currency and debt crises. This implies that increased risk aversion during times of financial turmoil encourages foreign investors to retrench their investments, worsening liquidity shocks. Conversely, capital retrenchment is not significantly associated with such crises. The results show that, although financial crises reduce gross capital outflows, the reduction is not as large as that with capital inflows. Originality/value - The contribution of this paper is threefold. First, this study investigates how domestic investors behave during times of financial distress by studying gross capital flows-not net capital flows. Second, we concentrate on sharp changes in capital flows during crises. Third, we examine the associations between capital stop and retrenchment and financial crises in general, not specific events.