• 한국세라믹학회지
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• 제35권9호
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• pp.899-904
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• 1998

Interface reaction between LSMC and YSZ is discussed with chemical composition of LSMC. The reac-tivity between LSMC and YSZ increased with increasing Co amount and A-site deficient perovskite is very effective on reducing reactivity. The (La0.8Sr0.2)xMn0.8Co0.2O3 (X=0.9-1) composition is not reactive with YSZ in experimental range. The electrode reaction reaction resistance increases due to reaction product.

• 한국세라믹학회지
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• 제35권9호
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• pp.917-922
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• 1998

YSZ와 계면반응하지 않는 ${(La_{0.75}Sr_{0.25})}_{0.95}Mn_{0.8 }Co_{0.2}O_3$에 전해질 물질인 YSZ를 첨가하여 양극의 분극특성을 고찰하였다. LSMC에 YSZ를 첨가함에 따라 삼상계면(Three Phase Boundary)이 증가하고, 분극저항이 감소하여 60 : 40wt% 비에서 최소값을 나타내었다. LSMC-YSZ composite 전극은 $1200^{\circ}C$ 에서 소결하여 최소의 분극저항을 나타내었고, 정전용량의 값은 소결온도의 증가에 따라 증가하였다.

• 한국세라믹학회지
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• 제37권6호
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• pp.612-616
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• 2000

The effect of Co dopant on the (La, Sr)MnO3 cathode was investigated. La2Zr2O7 and SrZrO3 were formed as the reaction products between YSZ and LSMC. The reactivity of LSMC with YSZ increased with increasing Co content. However, the cathodic polarization resistance decreased with increasing Co doping. Therefore, doping Co at Mn site in the (La, Sr)MnO3 cathode was effective on controlling the polarization resistance of the cathode. The polarization property of LSMC-YSZ composite(60 wt%: 40 wt%) cathode was better than that of LSMC single cathode.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.944-946
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• 2004

In this paper, a new technique for electromagnetic topology optimization is proposed. The proposed technique is based on the large-step Markov chain (LSMC) method with novel local optimization algorithm. Because the proposed algorithm keeps a good convergence characteristic of LSMC, fast convergence is assured. The proposed LSMC is verified by an application to an inverse reconstruction problem.

• 전기학회논문지
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• 제60권1호
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• pp.32-35
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• 2011

The economic value of a wind farm project is influenced by various risk factors such as wind power output and electricity market price. In particular, there is uncertainty in the economic evaluation of a wind farm project due to uncertain wind power outputs, which are fluctuated by weather factors such as wind speed, and volatile electricity market prices. This paper presents a systematic method to assess the economic value and payback period of a wind farm project using Least Square Monte-Carlo (LSMC) simulation. Numerical example is presented to validate the effectiveness of the proposed economic assessment method for a wind farm project.

• 한국자원식물학회지
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• 제33권6호
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• pp.666-674
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• 2020

Lotus (Nelumbo nucifera Gaertn.) is an economically important aquatic ornamental herb with multiple uses, including food, tea, natural pigments, and/or healthcare product. The objective of this study was to evaluate the physicochemical properties and antioxidant potential of lotus sprouts grown in three media: sprouting machine (LSSG), soil (LSSC), and mud (LSMC). The longest sprout was obtained in LSMC (4.79 and 26.79 cm) followed by LSSC (1.95 and 5.4 cm), and LSSG (0.60 and 2.85 cm) at 5 and 10 days, respectively. Higher amounts of total free amino acids were found in cotyledons (33.96, 21.45, and 38.90 mg/g) than in hypocotyls (15.77, 7.90, and 15.29 mg/g ) for LSSG, LSSC, and LSMC, respectively. The ratios of total essential to total non-essential amino acids were higher in hypocotyls (0.36, 0.31, and 0.46) than in cotyledons (0.34, 0.25, and 0.40), respectively. Similarly, the total polyphenol content of the hypocotyl of LSMC (50.33 ㎍ GAE/g) was the highest and that of the husk of LSSG (24.08 ㎍ GAE/g) was the lowest. Overall, the antioxidant potential of hypocotyl was higher than that of husk and cotyledon. The results indicated that the lotus sprouts grown in mud could be a good source of nutritional and natural antioxidants.

• Journal of Electrical Engineering and Technology
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• 제8권6호
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• pp.1269-1275
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• 2013

Recently, many studies have suggested that an electric vehicle (EV) is one of the means for increasing the reliability of power systems in new energy environments. EVs can make a contribution to improving reliability by providing frequency regulation in power systems in which the Vehicle-to-Grid (V2G) technology has been implemented and, if economically viable, can be helpful in increasing power system reliability. This paper presents a stochastic method for optimal coordination of charging and frequency regulation decisions for an EV aggregator using the Least Square Monte-Carlo (LSMC) with modeling of electricity price uncertainty. The LSMC can be used to assess the value of options based on electricity price uncertainty in order to simultaneously optimize the scheduling of EV charging and regulation service for the EV aggregator. The results of a numerical example show that the proposed method can significantly improve the expected profits of an EV aggregator.