• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1822-1829
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• 2015

In this study, artificial neural networks were used to determine the intensity of brightness in interior spaces. The illumination elements to illuminate indoor spaces were considered, not individually, but as a system. So, during the planned maintenance periods of an illumination system, after its design and installation, simple brightness level measurements must be taken. For a three-dimensional evaluation of the brightness level in indoor spaces in a speedy and accurate manner, the obtained brightness level measurement results and artificial neural network model were used. Upon estimation of the most suitable brightness level for indoor spaces by using the artificial neutral network model, the energy demands required by the illumination elements decreased. Consequently, in this study, with estimations of brightness levels, the extent to which the artificial neutral networks become successful was observed and more correct results have been obtained in terms of both economy and usage.

• Journal of Korean Institute of Industrial Engineers
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• v.4 no.2
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• pp.91-96
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• 1978

A modeling framework and its computational methodology for an industrial sector of the economy are investigated. The suggested industrial sector model is characterized by a programming (process analysis) representation of a production sector and an econometric estimation of the price sensitive (own and cross-prices) demands. By introducing the price sensitive demands into the process analysis representation of the production sector, it becomes possible to analyze and plan the pricing policy, the optimal production schedules and capacity expansion plans within a single framework. The computational scheme suggested in the report is based on the iterative approach each of which solves a separable convex programming problem.

• IE interfaces
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• v.25 no.4
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• pp.382-392
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• 2012

Reactor protection system to keep nuclear safety and operational economy of plants requires high reliability. Such a high reliability of the system can be achieved through the redundant design of components. However, common cause failures of components reduce the benefits of redundant design. Thus, the common cause failure analysis, to accurately calculate the reliability of the reactor protection system, is carried out using alpha-factor model. Analysis results to 24 operating months are that 1) the system reliability satisfies the reliability goal of EPRI-URD and 2) the common cause failure contributes 90% of the system unreliability. The uncertainty analysis using alpha factor parameters of 0.05 and 0.95 quantile values shows significantly large difference in the system unreliability.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.371-396
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• 2006

To see the implication of trade policy in endogeneous growth model, we introduce trade protection that takes the form of an import tariff and represents one plus the rate of protection provided to industry sector. We showed that considering goodness of fit of regression model, we can see that the empirical evidence is strongly in favor of the character of trade policies as the instrument spurring economic growth. As for import tariff, we see that 1% increase in the rate of tariff that protect domestic market causes the rate of growth to increase by 0.87%. An import tariff to final product significantly spurs product development and faster growth come as a result. But, we should note that the effects of trade policy are muted by the induced changes in the output of intermediates in an economy that is relatively unproductive in the research lab.

• Environmental and Resource Economics Review
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• v.9 no.5
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• pp.973-997
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• 2000

The carbon tax is one of several measures to reduce the green-house gases emitted from burning the fossil fuels, which has been much discussed internationally. The analyses of the effects of a carbon tax on individual countries have been carried out by applying the computable general equilibrium(CGE) models, especially models with the assumption of non-existence of scale economies. However, the introduction of scale economies to CGE models changes the simulation results drastically. In this paper, two CGE models are used to compute and compare the economic and $CO_2$ reduction effects of a carbon tax, one of with is the model with scale economies and the other is without scale economies. One of main results is that the analysis using the CGE model without scale economies may underestimate the effects of a carbon tax on GDP and reducing the emission of $CO_2$.

• Journal of the Korean Society for information Management
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• v.7 no.2
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• pp.58-77
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• 1990

The production, processing and distribution of information is fast becoming a major economic activity for many nations of the world. The basic idea of this study is that knowledge and information are becoming the strategic resources and transforming agents in the information society. The purpose of this study is to fulfil two major objectives with regard to the analysis of the information sector in the information society. (1) This study investigates an empirical study of the information sector both the information work force, and information goods and services of the selected nations. (2) It advances theoretical explanations of the major factors of the growth of the information sector, and develops a new classification model of the information society.

• Journal of Korean Society of Rural Planning
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• v.15 no.2
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• pp.69-80
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• 2009

The purpose of this paper is to estimate the regional economic impact of reverse mortgage system based on farmer's net asset of house and farmland together. The regional economic impact was estimated by using inter-regional input-output model. Major findings are as follows: 1) The result of input-output analysis shows that 49,130 million won of production effect, 20,040 million won of value added effect, and 24,759 number of employment effect, 2) Since the result shows that the elderly spend most of the reverse mortgage money for their living expenses, it seems necessary to adopt net asset based reverse mortgage system to improve and stabilize farmers' living conditions and regional economy.

• KDI Journal of Economic Policy
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• v.34 no.4
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• pp.1-26
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• 2012

Greenhouse gas emission policy in Korea and elsewhere is based on emissions projections, a key element of which is the projected path of structural change from high productivity growth to low productivity growth economic sectors given sector specific labor productivity growth, emissions abatement across sectors and population growth. Thus, it is important to model the source of the structural change to forecast emissions correctly. Using data for the Korean economy, this study constructs and quantitatively evaluates a model of structural change and green growth to generate policy implications for Korea and the international greenhouse gas debate.

• International Commerce and Information Review
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• v.9 no.1
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• pp.427-449
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• 2007

The question of what our cultural goods might have known in a major exporting market, has intrigued investigators since 2000 year. Actually, Maybe Korean cultural assets just didn't have time to get to know International or Asia market. But now, a new euphoria can be tasted, on the lips of the small but growing Korean Contents Mania, as New Korean Wave-Crust begin to welcome the priciest contents from korea. Given Asian's surging population for our entertainment contents-drama, movie, music, character, etc., and the sense of a positive response its newly international market, it is hardly surprising. Now, Korea Wave must play an important roles in our country- economy, business, specially. This paper is seeking in OSMU on Korean Contents in East-North Asian Market, and is developing about Korean Wave study model. and It also points to a different strategy for exporting cultural contents, suggesting it should be effected for model to OSMU.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1279-1281
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• 1999

The learning automaton is an automaton to update systematically the strategy for enhancing the performance in response to the output results, and several schemes of learning automata have been presented. In this paper, S-model learning automata are applied to achieving a best compromise solution between an optimal solution for economic operation and an optimal solution for stable operation of the power system under the circumstance that the loads vary randomly. It is shown that learning automata are applied satisfactorily to the multiobjective optimization problem for obtaining the best tradeoff among the conflicting economy and stability objectives of power systems.