• Asia pacific journal of information systems
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• v.30 no.1
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• pp.31-52
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• 2020

Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.253-259
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• 2016

Recently, not only domestic businesses but also overseas businesses are expanding development and investment in automated warehouses as domestic and foreign logistics environments undergo drastic change. In such an environment, automated warehouse systems are being rapidly changed, and automated warehouse systems equipped with diversified functions are being developed accordingly. But the assessment systems of developed automated warehouse system is at a standstill. In the present article, characteristics of the automated warehouse systems in diversified development and trends of technology were analyzed, based on which evaluation items of functional suitability and reliability were derived by referring to ISO/IEC 25000 as the international quality assessment standard to secure reliability of the automated warehouse system, and an evaluation model was developed through the derived evaluation items. Through the present article, evaluation standards of functional suitability and reliability to enhance quality levels of automated warehouse systems are considered to be secured.

• Journal of the Korean housing association
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• v.18 no.6
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• pp.15-23
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• 2007

It was undeniable that rapid development of scientific technology gave us not only convenience and efficiency but troubles for existence of human due to destruction of ecosystem. Especially, rapid and massive expansion of the city deteriorated those phenomenons. Constructing Ecovillage was important and could be an alternative dwelling model in that it was sustainable so that we could cope with the troubles. But now, meaning and purpose of it was being hazy while thoughtless Ecovillage and notions of it were diffused. This study began to derive planning and evaluation index of Ecovillage on the basis of reference studies and suggestion for the notion and purpose of Ecovillage. This study began to suggest more clear notion of Ecovillage with reference study and derive planning and evaluation index of Ecovillage on the basis of the prior study. After Interviewing research and Field study, the derived index was applied to Ansolgi village and an evaluation for the application was made to suggest a direction and ways to develop and activate Ecovillage. The result of evaluation with the indices showed that Ansolgi village had those declined to visible and easy to make planning factors. Therefore, to activate and sustain Ecovillage in KOREA, even, simultaneous and well linked planning and evaluation indices should be developed. At this moment, since ten years have passed from the beginning of Ecovillage in KOREA, a study reflecting dwellers' evaluation is needed. And it is the most important the dwellers' cognition for the problems and will to resolve them and continuous interest and investment of government and others who are interested in sustainable development.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1032-1038
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• 2017

Recently, regulation on carbon emissions has been strengthened according to the new climate change convention (COP21) held in Paris, and then Korea has decided to reduce CO2 emissions by 37% until 2030. As one of countermeasures, the government has energetically performed demonstration projects of island micro-grid including solar power, wind power and energy storage system. However, in order to smoothly introduce island micro-grid, it is a critical issue to carry out the economic evaluation for power utility aspect and independent power producer aspect. Therefore, this paper proposes economic evaluation algorithms of island micro-grid which are based on the present worth method, considering cost and benefit factors in the aspect of both sides. Firstly, in case of power utility this paper proposes algorithm to estimate a period of return on investment according to the introduction capacity of distributed generators replacing diesel generator. And also, in case of independent power producer, this paper proposes evaluation algorithm to estimate weighting factor of SMP and benefit rate based on break-even point related with cost and benefit. From a case study result on real island micro-grid model, it is confirmed that proposed algorithms are useful and practical for the economic evaluation of island micro-grid.

• New & Renewable Energy
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• v.5 no.3
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• pp.49-55
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• 2009

Human resource for the new and renewable energy technology is an important factor in the respect of the sustainable growth and energy security. In this paper, we focused on measuring the economic effect of human resource development on new and renewable energy development programs. The human capital accumulation model developed by Mincer (1974) was modified in terms of the rate of the researchers' investment in human capital. As a result of a empirical case study, the value of human capital was estimated by 102 million Korean won per year worth 18% of the project labor cost. In case of the assumption of 100% participation of researchers, the level of human capital accumulation increased to 914 million Korean won per year. These results imply that the new and renewable energy development programs has been successful, on the concept of learning by doing, in terms of providing the researchers with opportunities to accumulate human capital.

• Asia pacific journal of information systems
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• v.7 no.2
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• pp.199-223
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• 1997

The purpose of this study is to identify the components of SME's information infrastructure through literature review, empirically investigate the components, and develop a model for SME's information infrastructure. The fact that SME's are having difficulties in building their own information infrastructure due to the limitation of capital investment, technology, and manpower is the main motive for the study The survey questionnaires were distributed to CEO's and users of 3W SME's and intensive interviews were cornea out to CIO's and information services personnel to further investigate H/W and S/W components of Information Infrastructure. The study results show that there seems to be five main factors for SME's information infrastructure. They are: (1) Informatization Capacity, (2) Software and Network, (3) Management Recognition and Utilization, (4) Hardware, and (5) Alignment between Users and Information Services.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.406-410
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• 1991

This paper presents an improved algorithm of optimal measurement system design with a reliability evaluation method for large power system. The proposed algorithm is developed to consider the dummy bus and to achieve highest accuracy of the state estimator as well with the limited Investment cost. The dummy bus in the power system is impossible to install measurement meter, while real and reactive power measurement values are exactly zero. Thus, the effect on these dummy bus measurements is considered in the proposed algorithm. On the other hand, P/C model is developed by taking advantage of the matrix sparsity. The improved program is successfully tested for KEPCO system with PSS/E lineflow calculated data package.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.568-571
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• 2004

본 논문의 목적은 벤처캐피탈(Venture Capitalist)의 투자전략을 게임이론을 통해 분석하고 이해하자는 것이다. 벤처캐피탈은 성장가능성은 높지만 불확실한 벤처기업에 투자하는 전문투자자이다. 벤처캐피탈은 이익을 극대화하기 위해서 성장가능성이 크고 위험관리가 가능한 기업에 투자를 하여야 한다. 하지만, 벤처캐피탈은 일반적으로 제한된 시간과 벤처기업의 속성 때문에 기업에 대한 정보가 부족한 상태에서 투자결정을 내려야 하는 경우가 대부분이다. 투자가 이루어진 후 벤처캐피탈은 벤처기업의 운영 및 기업활동을 감시(Monitor)하고 자문활동(Consulting Activity)을 수행하면서 차츰 기업에 대한 정보를 습득하게 되고 기업의 가치를 판단할 수 있게 된다. 본 논문은 앞에서 기술한 바와 같은 정보 불확실성 상태에서 창업자의 효용(utility)와 벤처캐피탈의 가치평가(value evaluation)를 바탕으로 벤처캐피탈의 투자전략을 게임이론을 통해 분석하였다. 본 논문은 벤처캐피탈이 전환사채형태의 투자를 하는 논거를 밝혀내었다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.2
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• pp.107-117
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• 1992

This paper presents an improved algorithm of optimal measurement design with a reliability evaluation method for a large power system. The proposed algorithm is developed to consider the dummy bus and to achieve highest accuracy of the state estimator as well with the limited investment cost. The dummy bus in the power system is impossible to install measurement meter, while real and reactive power measurements is considered in the proposed algorithm. On the other hand, P/C model is developed by taking advantage of the matrix sparsity. The improved program is successfully tested for KEPCO system with PSS/E lineflow calculated data package.

• Proceedings of the KSR Conference
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• 2003.10b
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• pp.35-39
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• 2003

Effort has been given to improve demand forecast methodology of rail system since it can have great impact on project evaluation of rail system investment. However most of demand forecast softwares developed in western countries where concerns have been provided mostly to private transport and they should be updated in order to reflect our country's situation accurately. Therefore, this paper aims, especially focusing on rail system, to do comparison analysis of oversea's passenger demand forecast softwares and provide some ideas to develop the updated demand forecast system which enables to reflect our country's situation accurately. Main conclusions are that we will need to have well described model for real situation. So we will have to study for these aspects for travel demand forecasting system and develop the package architecture.