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

• JOURNAL OF ELECTRICAL WORLD
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• s.286
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• pp.64-69
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• 2000

20세기에 있어서의 비약하는 산업계의 주축으로서 철강시장은 급속히 확대되었고 그와 더불어 신기술의 개발과 도입에서도 선도적 역할을 다하여 왔다. 특히 이 4반세기는 반도체기술의 진보와 함께 컴퓨터, 플랜트 컨트롤러, 드라이브 시스템 등 전기제품은 비약적인 진화를 이루어 왔다. 현재는 중국$\cdot$아시아$\cdot$남미를 중심으로 철강제품의 수요가 증가하여 설비투자도 확대되고 있다. 그러나 북미$\cdot$유럽$\cdot$일본에서는 생산능력과 수요와의 사이에 수급공백이 있어 이전과 같은 시장만큼의 신장은 기대할 수 없는 실정이다. 이와 같은 상황하에서 철강유저의 투자목적을 합리화$\cdot$성력화$\cdot$제품품질의 향상에 두고 있어, 미쓰비시전기는 ''경쟁력 있는 제품을 만들기와 총투자코스트의 최소화''를 서포트하는 제철플랜트용 전기제품의 제공을 지향하여, 그림에 표시하는 것과 같은 4개의 어프로치로 이에 대응하고 있다. 고품질화와 자동화에 대하여는 종래의 품질제어를 능가하는 초안정화 시스템의 적용, 프로세스의 이상 검지와 자동복구에 의한 완전 노터치 오퍼레이션의 실현, 인텔리전트 센서에 의한 프로세스의 가시화로 오퍼레이터가 최종판단을 용이하고 정확하게 할 수 있는 환경을 제공한다. 고효율화$\cdot$에너지 사용합리화에 대하여는 고역률 전원을 추구하여 고효율 드라이브장치와 모터를 제공한다. 글로벌 스탠더드화에의 대응으로서는 네트워크의 오픈화에 의한 멀티벤더 환경, 범용 하드웨어에 의한 오픈 HMI(Human Machine Interface)을 제공하고 있다. 플랜트의 신속한 가동과 리모트 메인터넌스 환경을 실현하기 위하여 플랜트 시뮬레이션 시험의 실시로 공장출하 품질의 향상을 도모한다. 또한 연구센터로부터의 원격감시와 트러블해석 서포트를 쉽게 할 수가 있다. 나아가 최근에는 급격한 기세로 신장되어 온 멀티미디어 기술, 인터넷 기술, 인트라넷 기술, 모바일단말, 화상압축기술 등에 의하여 원격집중감시, 현장과 중앙 쌍방향 협조보수작업, 버추얼 리얼리티 응용시스템이 현실화 되고있는 실정이다. 이들 IT(Information Technology)솔류션은 금후의 제철플랜트의 시스템을 크게 바꾸어 나가는 것은 물론 사업 경쟁력 강화의 키 테크놀로지가 될 것이다. 앞으로 미쓰비시전기는 제철플랜트에 대하여 유저니즈를 IT 솔루션으로 전개, 제공해 나가고자 한다.

• The Journal of Information Technology
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• v.6 no.3
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• pp.75-85
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• 2003

It is highly required to evaluate the economic value of technology in many decision making of the technology management area, for example, technology acquisition, transfer, and investments. Also evaluating the performance of R&D objectively is very important subject in the public side. So, developing the objective technology evaluation system has much usefulness in practice. In many studies, the patent information has been suggested to the valid measurement for evaluation of technology. The purpose of this study is to explore the validity of patent information as a measurement of technology evaluation.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.17-24
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• 2018

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.

• Korean small business review
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• v.43 no.4
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• pp.173-209
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• 2021

Start-up accelerators are a new type of investor that provide mentoring, education and seed capital to start-ups for a fixed duration and receive a certain stake in them in return. They help start-ups achieve successful commercialization. With increase in performance visibility, the number of private and public sector accelerators rose across domestic and international markets. Private sector accelerators are established and operated by private entities while public sector accelerators are established and operated by the government. Both play complementary roles that are becoming increasingly important to start-ups. Therefore, this study aims to examine the differences in major operational goals and investment determinants between private and public sectors and to understand their implications. The results show that the private sector prioritizes profit generation through the investment, while the public sector aims to contribute to the development of high-growth start-ups, and create region-specific and technology-specific start-up ecosystems. Additionally, both groups consider customer needs the most important determinant. Public groups are more conservative in investments and tend to place importance on objective indicators such as patents, partners, mentors, and co-founders. Conversely, private groups value the capabilities of founders and their ease of collaboration with accelerators. These findings can help start-ups get support from public or private accelerators more easily. It will also help public and private accelerators refine the criteria for selecting start-ups.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.45-55
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• 2022

Accelerator is a private investment institution that provides startups with comprehensive solutions to solve various difficulties such as startup facilities, funds, commercialization, securing a market etc. In addition to the role of an investor as a new startup support model, accelerators have contributed much to improvement of business ability of startups through intensive mentoring. Considering that previous studies gave weight to the determinants of investment from the perspective of investors, this study made a comparative analysis on the relative importance of determinants of investment in startups among accelerators, investors and entrepreneurs through the method of AHP. Results show that accelerators and investors regard "managerial characteristics" of startups as of the highest importance, whereas entrepreneurs think that "market characteristics" of startups are the most important. The result stems from an empirical judgment from the perspective of investors that success of startups depends on the ability of entrepreneur, and it is considered that investors evaluated marketability of startups as the most important factor in consideration of investment payback period. The result is similar to the result of previous studies on the determinants of investment determinants of angel investors and venture capitals. This paper is expected to make a contribution to the advancement of investment decision-making model for accelerators to discover startups with high possibility to grow and achieve more in incubation and investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1634-1647
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• 2007

"To invest or not to invest?" Most business leaders are frequently faced with this question on new and ongoing projects. The challenge lies in deciding what projects to choose, expand, contract, defer, or abandon. The project valuation tools used in this process are vital to making the right decisions. Traditional tools such as discounted cash flow (DCF)/net present value (NPV) assume a "fixed" path ahead, but real world projects face uncertainties, forcing us to change the path often. Comparing to other traditional valuation methods, the real options approach captures the flexibility inherent to investment decisions. The use of real options has gained wide acceptance among practitioners in a number of several industries during the last few decades. Even though the options are present in all types of business decisions, it is still not considered as a proper method of valuation in some industries. Mining has been comparably slow to adopt new valuation techniques over the years. The reason fur this is not entirely clear. One possible reason is the level and types of risks in mining. Not only are these risks high, but they are also more numerous and involve natural risks compared with other industries. That is why the purpose of this study is to deal with a more practical approach to project valuation, known as real options analysis in mining industry. This paper provides a case study approach to the copper mining industry using a real options analysis. It shows how companies can minimize investment risks, exercise flexibility in decision making and maximize returns.

• Broadcasting and Media Magazine
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• v.26 no.4
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• pp.61-71
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• 2021

영상, 비디오 정보로부터 3D 휴먼 모델을 생성하고 실제 사람 같이 움직이게 변형하는 기술은 다가오는 메타버스 시대의 핵심 기술이며, 이와 같은 기술이 갖는 잠재적인 파급력 때문에 많은 글로벌 IT 기업에서 앞다투어 관련 기술에 대한 투자를 진행하고 있다. 본 기고문에서는 지난 10년간 휴먼 모델링 기술이 어떻게 발전되어 왔는지 살펴보고 현재 기술의 특징 및 한계점과 함께 앞으로의 기술 전망에 대해 살펴본다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.37-50
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• 2023

Venture capital invests the necessary capital and supports management and technology in promising small and medium-sized venture companies in the early stages of start-up with promising technology and excellent manpower. It plays a role as a key player in the venture ecosystem that realizes profits by collecting the investment through various means after growth. Venture capital's job is to recruit various investors(LPs) to invest in small and medium-sized venture companies with growth potential through the formation of venture investment funds, and to collect investment as companies grow, distribute and reinvest. The main tasks of venture capitalists, which play the most important role in venture investment, are finding promising companies, corporate analysis and evaluation, investment screening, follow-up management, and investment recovery. Venture capital's success indicators are fund formation and return on investment, and venture capitalists are rewarded with annual salary, performance-based incentive, and promotion with work performance such as investment, exit, and fund formation. Compared to the recent rapidly growing venture investment market, investment manpower is insufficient, and venture capital is making great efforts to foster manpower and establish infrastructure and systems for long-term service, but research has been conducted mainly from a quantitative perspective. Accordingly, this study aims to empirically analyzed the impact of investment experience, delegation of authority, job fit, and peer relationships on fund formation and return on investment according to the characteristics of the venture capital industry. The results of these empirical studies suggested that future venture capital needs a job environment and manpower operation strategy so that venture capitalists with high job fit and investment experience can work for a long time.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.19-29
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• 2012

We made a regression analysis on the early IPO of venture capital investments in Korean IPO market. First, we found that it was likely to shorten the period to IPO in companies which were fast growing with a good operating cash flow, but these companies had a higher possibility of the earning management. Second, companies with more assets and larger size of the board of directors did not take companies public any earlier. Third, a better corporate governance also had no impact on the time period to IPO in the newly public firms. The findings above clearly show that venture-backed companies in Korea pursue the tendency of an early IPO. This phenomenon was much clearer when the companies were invested in by multiple venture capital firms than by a single investor. In general, venture capital firms invest in companies which are fast growing and which have a good operating cash flow. On the other side, venture capitals make investee companies go public earlier by manipulating operating earnings, so that they themselves may exit early. In conclusion, this research has shown that venture capitals in Korea do not play a positive role in the corporate transparency. This is the paradox of venture capital investment and this also shows the current status of Korean venture capital firms.