• Journal of the Korean Solar Energy Society
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• v.26 no.3
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• pp.89-97
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• 2006

Our Housing culture continuously changes for the correspondence to social development and changes of economy, and be developing. A massive apartment complex continuously increased, and According to this in our country heating energy consumption of a residential building is continuously increasing at country me whom was limited in order to raise efficient residential land use and diffusion ratio of house. If confirm an element to be able to reduce use of a heating energy, and there is saving possibility to parts of energy saving, this study will present the standard amount used with bases to the gas amount used for heating and Field Test data about room temperature. Execute simulation with building balance (public area, a plain), the gas amount useds such as incense of a building, indoor setting temperature ($^{\circ}C$), a position of an apartment house etc. to affect the energy amount used of a valuation object building of a variable through Field Test and research on the actual condition. Calculate the standard amount used of city gas for winter season heating of a comparative analysis apartment house to data value getting the above results through Field Test and simulations with bases.

• Environmental and Resource Economics Review
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• v.23 no.1
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• pp.133-156
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• 2014

In general, quantity results of empirical analysis using model shows how much big performance policy has. Therefore this is useful to evaluate a policy. This paper composed macro economic model based on Bank of Korea's quarterly model and annual model, that estimates performance of overseas oil and gas development project to Korean economy in aspect of quantity. In this model, we estimated each effect in real GDP, current account, unemployment rate, CPI and exchange rate carried by recovered amount from overseas oil and gas development project. The recovered amount was evaluated in currency coming from oil and gas acquired from overseas oil and gas development project. Macro economic model of this paper benchmarked macro model composed by Bank of Korea(1997, 2004, 2012). We reviewed model robustness using statistical suitability of each equation and historical simulation for from 1994 to 2011. The recovered amount of overseas oil and gas development project has positive effect in every macro economic index except CPI and exchange rate. Economic effect to macro economic index become bigger with time because the recovered amount of overseas oil and gas development project are increasing until now. Although empirical results of economic effects in every year from the recovered amount of overseas oil and gas development project are different, as of 2011, empirical results showed that the recovered amount of overseas oil and gas development project increase 2.226% and 0.401% in current account and real GDP respectively. And it also decrease 0.489%p in unemployment rate. Exchange rate to US dollars also decrease in amount of 0.379%.

• Journal of the Korean Solar Energy Society
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• v.30 no.5
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• pp.11-16
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• 2010

Methane hydrate is crystalline ice-like compounds which formed methane gas enters within water molecules composed cavity and each other from physically-bond at specially temperature and pressure condition. $1m^3$ of methane hydrate can be decomposed into the maximum of $216m^3$ of methane gas under standard condition. If these characteristics of hydrate are utilized in the opposite sense, natural gas can be fixed into water in the form of a hydrate solid. Therefore the use of hydrate is considered to be a great way to transport and store natural gas in large quantity. However, when methane hydrate is formed artificially, the amount of gas that is consumed is relatively low, due to the slow reaction rate between water and methane gas. Therefore for practical purposes in the application, the present investigation focuses on increasing the amount of gas consumed by adding chemically oxidized OMWCNTs to pure water. The results show that when 0.003 wt% of oxidation multi-walled carbon nanotubes was added to pure water, the amount of gas consumed was almost four times more than that of pure water indicating its effect in hydrate formation and the hydrate formation time decreased at alow subcooling temperature.

• Journal of Environmental Health Sciences
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• v.5 no.1
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• pp.58-60
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• 1978

This experiment was carried out to determine the amount of organophosphorous pesticides accumulated in farmer's blood during the farming season. The Blood had been collected for about 5ml from farmer's, and extraction was purified on a Avicel/Darco G-Co (1:10) column and determined by Gas Chromatography using AFID supported on 2% EGA. The Gas chromatographic detection yielded recoveries from the blood of 88% for smithion 94% for malathion. The amount of average contamination shows 0.045ppm for smithion. 0.054ppm for malathion.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.454-457
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• 1997

The purpose of this study is to develop an optimal model, using existing models, that is able to estimate the amount of spatter utilizing artificial neural network in the short circuit transfer mode of gas metal arc (GMA) welding. The amount of spatter generated during welding can become a barometer which represents the process stability of metal transfer in GMA welding, and it depends on some factors which constitute a periodic waveforms of welding current and arc voltage in short circuit GMA welding. So, the 12 factors, which could express the characteristics for the waveforms, and the amount of spatter are used as input and output variables of the neural network, respectively. Two neural network models to estimate the amount of spatter are proposed: A neural network model, where arc extinction is not considered, and a combined neural network model where it is considered. In order to reduce the calculation time it take to produce an output, the input vector and hidden layers for each model are optimized using the correlation coefficients between each factor and the amount of spattcr. The est~mation performance of each optimized model to the amount of spatter IS assessed and compared to the est~mation performance of the model proposed by Kang. Also, through the evaluation for the estimation performance of each optimized model, it is shown that the combined neural network model can almost perfectly predict the amount of spatter.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.3
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• pp.259-266
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• 2015

Among many energy resources, natural gas has recently received a remarkable amount of attention, particularly from the electrical generation industry. This is in part due to increasing shale gas production, providing an environment-friendly fossil fuel, and high risk of nuclear power. Because South Korea, the world's second largest LNG importing nation after Japan, has no international natural gas pipelines and relies on imports in the form of LNG, the natural gas has been traditionally procured by long term LNG contracts at relatively high price. Thus, there is a need of developing an Asian LNG trading hub, where LNG can be traded at more competitive spot prices. In a natural gas spot market, the amount of natural gas to be bought should be carefully determined considering a limited storage capacity and future pricing dynamics. In this work, the problem to find the optimal amount of natural gas in a spot market is formulated as a Markov decision process (MDP) in risk neutral environment and the optimal base stock policy which depends on a stage and price is established. Taking into account price and demand uncertainties, the basestock target levels are simply approximated from dynamic programming. The simulation results show that the basestock policy can be one of effective ways for procurement of LNG in a spot market.

• KIEAE Journal
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• v.15 no.2
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• pp.45-52
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• 2015

Purpose: Currently, since the energy consumption of apartment buildings is on the rise, it is necessary to reduce the total amount of the energy through the survey and analysis of energy consumption data. Although various studies for energy efficiency have been conducted, studies are more focused on the measurement of energy by using analysis tools. In addition, the studies are sufficient to analyze real data of the city gas in apartment buildings. Therefore, the objective of this study is to identify the property of annual and $1m^2$ city gas amount according to the exclusive dwelling area. Method: To achieve the objective, this study used the statistics such as descriptive, correlation, and analysis of variance (ANOVA) analysis. Result: As a result, there is positive relationship between the annual average of city gas and the exclusive dwelling area. However, in the case of $1m^2$ city gas amount, a negative relationship is mored. In the future, the findings of this study can be applied to develop the prediction model of the city gas consumption and implement it as basic data for energy efficiency of apartment buildings of future.

• Journal of the Korean Home Economics Association
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• v.8 no.1
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• pp.146-158
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• 1970

It is a matter of amazing to realize that contamination of air by fuel gas in recent daily life at home directly effects to health of Korean housewives. A study in finding the status and the amount of co gas in the kitchen was con-ductedrelating the size of kitchen, door of exit, ventilation window, constraction of built in-brick stove (Boo Tu Mack), fuel management, in order to extend beneficial and improved management of housing. From the result of study, it was pointed out that constractional improvement of built-in-brick stove, heating floor (Ondol), timny, and ventilation window would been emergently needed. Demonstration studies were obtained in finding differences of the amount of co gas respectively in cooking time as 50-55ppm, and in not cooking time as 50-80p,p,m in the kitchen both, original and improved. Definite differences were found depend upon the condition with, without, or direction of the ventilation window. In addition to all above results, significant influence on gas pulling power of Ondol tunnel was shown. Many houses of Apartment house for have middle and low income groups been recognized so poor for health as indicated over 100ppm of co gas if window were not opened because of poor ventilation and weak gas pulling power of Ondol tunnel.

• Journal of Information Display
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• v.2 no.4
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• pp.29-33
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• 2001

The luminance and discharge characteristics of an AC PDP may be significantly affected by a small amount of impurity gas in working gas. Impurity gases such as $O_2$, O , C and $H_2$ can be mixed in the manufacturing and lor discharge processes. In this paper, a small amount of impurity gas in AC PDP are introduced intertimally and the relationship between the amount of impurity gas and the luminance/discharge characteristics are investigated. The luminous efficiency decreased seriously with the increase in the partial pressure of impurity gases, especially in $H_2$, $O_2$ and $CO_2$, Under the condition of the impurity gas ratio of 2x $10^{-3}$ for Ar, $N_2$, $H_2$, $CO_2$ and $O_2$, the luminous efficiency decreased to about 8%, 8%, 32%, 36% and 50%, respectively.

• Transactions of the Korean Society of Automotive Engineers
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• v.5 no.5
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• pp.67-72
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• 1997

The purpose of this study os to investigate how the natural gas in fuel blend influences the polutant emission of diesel engine. Four stroke cycle single cylinder engine is used for this experiment and four kind of fuel blends were made. Fuel blends show four different torque ratios between diesel oil and natural gas, which are 4 : 0. 3 : 1, 2 : 2 and 1 : 3. The constituents of exhaust gases of engine are analyzed for every fuel blend. The experimental results say that the mixing of natural gas into diesel fuel is an very effective way to reduce the amount of soot in the exhaust gas.