• Information and Communications Magazine
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• v.30 no.10
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• pp.32-37
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• 2013

기계 산업은 최근 10년간 높은 성장세를 보였으나 금융위기, 선진 기계류 시장의 침체, 중국의 기계설비 자립화 등으로 성장세가 둔화되었다. 세계 경제의 불확실성이 가중되고 보호 무역주의가 득세하는 지금 신흥 시장에서의 MID-Tech 제품의 경쟁력 및 기계 산업 서비스 경쟁력 강화를 위한 수익 창출 비즈니스 모델의 변화가 강력히 요구되고 있다. 선진국의 기술 개발 동향 및 우리 나라 기계산업의 현황 분석을 통해 도출한 기계산업 발전 4대 전략인 신흥 시장 확대, 서비스화, 스마트화, 신산업 창출 등은 ICT 융합과 매우 밀접한 연관이 있기 때문에 기계 산업의 ICT 융복합의 적극적 추진이 강력히 요구된다. 본고에서는 이러한 기계산업과 ICT융합 동향과 사례등을 살펴본다.

• Proceedings of the KSEEG Conference
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• 2003.04a
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• pp.39-42
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• 2003

중금속으로 오염된 폐광산 주변부나 유류누출로 인한 토양오염 등과 같은 오염부지에 대한 환경조사는 그 결과를 토대로 환경계획이나 정책이 수립되므로 의사결정의 기초가 된다. 이때, 의사결정의 타당성은 오염부지 조사결과 오염도가 얼마나 정확하게 측정되었느냐에 따라 달리 평가되어 진다. 그러므로 이와 같은 환경조사는 측정결과의 불확실성이 감소되도록 정밀한 시료채취방법이나 분석방법을 고안하여 적용해야 한다. (중략)

• Environmental and Resource Economics Review
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• v.24 no.4
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• pp.607-627
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• 2015

As observed and experienced in EU ETS, allowance price volatility is one of major concerns in decision making process for $CO_2$ abatement investment. The problem of linearly non-separable profits functions could emerge when one power company holds several power plants with different technology specifications. Under this circumstance, conventional analytical solution for investment option is no longer available, thereby calling for the development of numerical analysis. This paper attempts to develop a Monte-Carlo least squares model to analyze investment options for power companies under emission trading scheme regulations. Stochastic allowance price is considered, and simulation is performed to verify model performance.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.4
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• pp.699-712
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• 2000

Juam lake is a major water resource for the industrial and agricultural activities as well as the resident life of Kwangju and Chonnam regions. However, the water quality of the lake is getting worse due to a large quantity of pollutant inflowing to the lake. Thus, the strategy for achieving the water quality goal of the lake should be developed as soon as possible. When there are various alternatives that can be used as the strategy, several criteria based on the achievement degree of water quality goal, the applicability of technique and social environment, and the reasonableness of the cost required are made to evaluate and rank the alternatives. However, it is difficult to make a decision when there are multiple criteria and conflicting objectives and specifically the estimated values of criteria contain elements of uncertainty. The uncertainty stems from the lack of available information, the randomness of future situation, and the incomplete knowledge of expert. As the degree of uncertainty is higher, the decision becomes more difficult. In this study, a fuzzy decision-making method is presented to assist decision makers in evaluating various alternatives under uncertainty. The method allows decision makers to characterize the associated uncertainty by applying fuzzy theory and incorporate the uncertainty directly into the decision making process for selecting the "best" alternative so decisions can be made that are more appropriate and realistic than those made without taking uncertainty in account.

• Korean Chemical Engineering Research
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• v.50 no.3
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• pp.471-478
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• 2012

A carbon capture and storage (CCS) plays a very important role to reduce $CO_2$ dramatically in $CO_2$ emission sources which are distributed throughout various areas. Numerous research works have been undertaken to analyze the techno-economic feasibility of planning the CCS infrastructure. However, uncertainties such as $CO_2$ emissions, $CO_2$ reduction costs, and carbon taxes may exist in various impact factors of the CCS infrastructure. However, few research works have adopted these uncertainties in designing the CCS infrastructure. In this study, a two-stage stochastic programming model is developed for planning the CCS infrastructure under uncertain operating costs and carbon taxes. It can help determine where and how much $CO_2$ to capture, store or transport for the purpose of minimizing the total annual $CO_2$ reduction cost in handling the uncertainties while meeting the $CO_2$ mitigation target. The capability of the proposed model to provide correct decisions despite changing the operating costs and carbon taxes is tested by applying it to a real case study based on Korea. The results will help to determine planning of a CCS infrastructure under uncertain environments.

• International Area Studies Review
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• v.13 no.2
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• pp.66-88
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• 2009

This paper studies optimal discretionary monetary policy in the presence of uncertainty in the housing sector. In particular, we allow two possible regimes regarding the evolution of housing price inflation and the effects of housing price inflation on the aggregate demand. Estimation results with the US data confirm the presence of two distinctive regimes, one 'normal' and the other more akin to the housing price 'bubble' state. The optimal policy is 'asymmetric' in that the optimal responses in the 'normal' regime require the central bank to lean against the wind to inflationary pressure from CPI and housing inflation, while the central bank is recommended to accommodate it in the other regime.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.315-324
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• 2017

The smart grid with distributed power supply introduces a number of problems including not only the problems of the existing power grid but also the problem of protection co-operation due to new electric phenomenon because it has a mixed operation structure combining the existing radial operation structure and the new loop operation structure. The EMTP based power system analysis method has flexibility and convenience from the view of system configuration but it requires another experimental verification because of uncertainty of design and analysis results. On the other hand, the real demonstration system has difficulties in observing accurate fault on large scale system due to considerable economical and spatial construction cost, system configuration constraint, and it is difficult to demonstrate the distributed, autonomous and adaptive control strategy of smart grid. In this paper, a basic theory for a micro smart grid simulator design using MEMS(Micro Electro-Mechanical Systems) miniaturization technology is studied which can safely and freely experiment and observe electrical phenomena, and distribution, autonomous adaptive control strategy for disturbances on 22.9kV smart grid under minimum economic and spatial cost.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.763-779
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• 2007

The combined heat-and-power (CHP) plant is recently suggested as an effective resolution in response to recent rising oil prices and the Kyoto Protocol. This research provides a model for economic appraisal to evaluate CHP investment. Real option model is developed to incorporate a case where the investment is irreversible and underlying revenue is stochastic. The analysis shows that power plant capacity more than 40 Gcal makes CHP investment profitable while the results may vary 10 modest level with respect to investment cost, heat sales price and discount rate.

• Information Systems Review
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• v.15 no.1
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• pp.1-24
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• 2013

This study empirically investigated inter-relationships among the influence factors on the adoption of e-commerce, which are classified as cause factor (i.e., perceived environmental uncertainty and competition), facilitators (i.e., perceived economic benefits, inter-organizational trust, suppliers' pressure and capability and asset specificity) and support factor (i.e., top management's support and organizational resource capability). The results of regression analyses showed that competition, inter-organizational trust, suppliers' pressure and capability, top management's support, and organizational resource capability have a positive impact on the adoption of e-commerce. In the analyses of inter-relationships among the influence factors, it was found that perceived environmental uncertainty positively influences suppliers' pressure and capability and perceived economic benefits, and competition has a positive impact on asset specificity. It was also observed that perceived economic benefits, inter-organizational trust and suppliers' pressure and capability positively affect top management's support, and inter-organizational trust and suppliers' pressure and capability have a positive impact on organizational resource capability. With mediating regression analyses, it was found that competition has an indirect impact on the adoption of e-commerce through the effect on perceived economic benefits, suppliers' pressure and capability, organizational resource capability and top management's support. The results of mediating regression analyses also showed that suppliers' pressure and capability and perceived economic benefits have indirect effects on the adoption of e-commerce through the effects on top management's support and organizational resource capability. From these results, it is concluded that intense competition causes the activation of facilitators, and the facilitators contribute to both the enhancement of top management support and the creation of organizational resource capability, which are directly linked to the adoption of e-commerce.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.29-40
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• 2013

This study analyzed that adjustment roles of the organization and Information System strategy suitability factors between influence and introduction outcome factors in the IT outsourcing in government offices. Influence factors of IT outsourcing are organization factor(information system maturity, CEO's support), trade factor(asset speciality, uncertainty, using degree of information system), risk factor(risk of security, risk of increase in cost, risk of losing autonomy). And outcome factors are set as economic effect and technology effect. We analyzed that organization and IS strategy suitability factors as moderator variables. Results are the followings. It was analyzed that organization and IS strategy suitability factors are in charge of adjusting role among information system maturity which is lower variable of organization factor, CEO's support, uncertainty of trade factor's lower variable, risk of security which is risk factor's lower variable, risk of increase in cost, loss of autonomy. Therefore, in order for organization to increase the outcome of information technology, organization strategy and IS strategy should be promoted in combined manner. However, it was analyzed that strategy suitability could not take the adjusting role between asset specialty and introduction outcome.