• Korean journal of applied entomology
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• v.61 no.1
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• pp.165-172
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• 2022

Insects have evolved successfully by adapting to their environments through development and reproduction. Temperature-dependent models have been used to calculate the intrinsic optimal, optimal development, and optimal fecundity temperatures of insects and mites; for this study, we reviewed 112 works that focused on these parameters. The insects and mites investigated in this study include 14 Acari, 8 Coleoptera, 5 Diptera, 31 Hemiptera, 7 Hymenoptera, 18 Lepidoptera, 1 Orthoptera, 5 Psocoptera, and 5 Thysanoptera species. The results of this study showed that the interval distance between the intrinsic optimal and optimal fecundity temperatures was smaller than that between the intrinsic optimal and optimal development temperatures of the all insects and mites investigated except for those in the order Thysanoptera. We found that there is a close relationship between the intrinsic optimal and optimal fecundity temperatures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.735-738
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• 2011

This paper proposed the method to find out the optimal sensing point of temperature in test-bed with the sensor of temperature, such as real residence. We selected optimal locations by checking temperature change which was simulated by the means of CFD (Computational Fluid Dynamics) and the variation of air flow. We installed 30 temperature sensors in real place. After that, we compared the real one with the result of simulation.

• Journal of Applied Biological Chemistry
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• v.61 no.1
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• pp.59-67
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• 2018

This study was conducted to isolate the cellulolytic bacteria able to grow on LB- Carboxymethyl cellulose (CMC) agar trypan blue medium from the mixed forest and Larix leptolepis stands. Three bacterial strains with high activity against both CMC and xylan were isolated. Both API kit test and 16S rRNA gene sequence analysis revealed that the three different isolates belong to the gene Bacillus. Therefore, the isolates named as Bacillus sp. EFL1, Bacillus sp. EFL2, and Bacillus sp. EFP3. The optimum growth temperature of Bacillus sp. EFL1, EFL2, and EFP3 were $37^{\circ}C$. The optimum temperature for CMCase and xylanase from Bacillus sp. EFL1 were $50^{\circ}C$. The optimum pH of Bacillus sp. EFL1 xylanase was pH 5.0 but the optimum pH of CMCase from Bacillus sp. EFL1 was pH 6.0. The optimum temperature of CMCase and xylanase from Bacillus sp. EFL2 was $60^{\circ}C$, respectively. The optimum pH of CMCase of Bacillus sp. EFL2 was 5.0, whereas xylanase showed high activity at pH 3.0-9.0. The optimum temperature for CMCase and xylanase of Bacillus sp. EFP3 was $50^{\circ}C$. The optimum pH for CMCase and xylanse was 5.0 and 4.0, respectively. CMCases from Bacillus sp. EFL1, EFL2, and EFP3 were thermally unstable. Although xylanase from Bacillus sp. EFL1 and EFP3 showed to be thermally unstable, xylanase from Bacillus sp. EFL2 showed to be thermally stable. Therefore, Bacillus sp. EFL2 has great potential for animal feed, biofuels, and food industry applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1559-1566
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• 2012

This paper proposed the method to find out the optimal sensing point of temperature in test-bed with the sensor of temperature, such as real residence. We selected optimal locations by checking temperature change which was simulated by the means of CFD (Computational Fluid Dynamics) and the variation of air flow. We made 3-dimensional model of the testbed using DesignBuilder software, and ran the CFD. We selected the optimum temperature measurement location of 1.5 m height from the floor and low temperature variation. The experiments were conducted 30 temperature and humidity sensors in real place. After that, we confirmed the results of temperature change.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1088-1089
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• 2015

본 논문에서는 태양광발전시스템의 발전 효율을 극대화하기 위한 태양전지 모듈의 배면온도를 낮출 수 있는 부유구조물의 최적화 설계에 대한 것이다. 저수지 수면은 태양에너지를 흡수하게 되면 물 온도의 상승으로 밀도저하가 발생되고 저수지의 수면이 최상층에 위치하여 지속적으로 태양에너지가 흡수는 경우 최상층의 수면온도가 $60^{\circ}C$ 이상 상승하게 된다. 이는 태양전지 모듈의 배면온도 상승을 주도하여 시스템 발전량의 감소원인으로 작용한다. 수상 태양광발전시스템의 효율 향상을 위해 태양전지 모듈의 온도 저하가 반드시 필요하고, 더불어 저수지 지리적 요건에 따른 바람의 영향 등을 고려한 태양광발전 부유구조물 최적 설계가 요구된다. 열전달 수치해석을 통해 태양광발전 구조물에 대한 최적설계, 태양전지 모듈의 온도 측정 및 성능 검증을 통해 태양광발전 구조물의 상하단의 높이의 최적 설계 조건을 확립하였다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2003.03a
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• pp.105-105
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• 2003

InGaN/GaN MQW 구조는 청색 및 녹색 범위의 밴드 갭을 가지는 반도체로 최근 LED 및 LD 제조 등에 이용되고 있다. InGaN/GaN MQW은 InGaN와 GaN의 최적 성장온도의 중간온도에서 실행된다. InGaN와 GaN는 최적 성장온도의 차이가 크므로 중간온도에서 성장 시에 많은 결함이 생긴다. 성장온도가 높으면 InN가 분해되고 낮을 경우에는 질소의 결핍이 일어난다. 최적성장온도의 선택이 매우 중요한 문제로 주목되었다. Si 도핑으로 중간온도 성장 시에 형성되는 결함을 감소시키고 광학적 특성을 향상시킨다고 보고되었다. 그러나, Si 도핑효과에 대한 구체적이고 체계적인 연구는 부족한 실정이다. MQWs 구조의 GaN 장벽층에 미치는 성장온도와 Si 도핑 효과를 이해하기 위해서는 고온에서 성잠시킨 GaN박막(HT-GaN) 위에 중간온도에서 성장된 GaN 에피층(IT-GaN)의 구조에 관한 연구가 선행되어야한다. 본 연구에서는 HT-GaN 위에 성장된 GaN 에피층에 미치는 성장 온도와 Si 도핑 효과에 관해 연구하였다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.6
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• pp.1478-1485
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• 1993

A shape optimization problem is formulated to determine the optimal position of heating lines in a compression molding die. The objective of the problem is that the cavity surface would be maintained by a prescribed uniform temperature. A boundary integral equation for the sensitivity of the temperature in terms of hole position is derived using the method of shape design sensitivity analysis. The boundary element method is employed to analyze the temperature and sensitivity field of the die. The sensitivity calculation algorithm is incorporated in an optimization routine. To demonstrate a numerical implementation, an example problem arising in thermal design of a compression molding die is dealt with, showing that the number of heating lines chosen for the die strongly affects the ultimate uniformity of the cavity surface temperature.

• Journal of the Korea Organic Resources Recycling Association
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• v.2 no.1
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• pp.3-18
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• 1994

Municipal solid wastes in Korea have physical and chemical properties suitable for composting, but composting has had little practical use in solid waste disposal until now because of a lack of understanding of process control. For practical use of composting, process control must be capable of maintaining good product quality while large quantities are composted in a short period of time. Ventilation control to maintain optimum temperature(Temperature Feedback Aeration Method) is reported to be convenient to operate. The purpose of this study is to analyze process efficiency and optimum temperature in the temperature feedback aeration method for composting of municipal solid wastes. The results of this study show that degradation and drying of substrate in the temperature feedback aeration method are higher than those in the constant aeration method. And the optimum temperature range for composting of solid wastes appears to be $50{\sim}54^{\circ}C$.

• Journal of the KSME
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• v.49 no.12
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• pp.36-38
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• 2009

일반적으로 부품 또는 유닛의 수명에 가장 직접적인 영향을 주는 요인은 온도 또는 진동으로 알려져 있다. 따라서 많은 시험방법이 개발되어 있으나 주어진 시간에 시험의 목적을 달성할 수 있는 최적의 방법론에 대해서는 드물게 연구되어 있는 실정이다. 이 글에서는 일반화되어 알려진 두 개의 모델을 복합하여 최적의 시험시간과 시험조건을 살펴보기로 한다.

• Journal of Bio-Environment Control
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• v.23 no.1
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• pp.39-42
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• 2014

The objective of this study was to estimate cardinal temperatures for germination of lettuce (Lactuca sativar L.) using bilinear, parabolic, and beta distribution functions. Seeds of lettuce were germinated in a growth chamber at 7 constant temperatures: 10, 14, 16, 20, 24, 28, and $32^{\circ}C$. Four replicates of 100 seeds were placed on two layers of filter paper in a 9 cm petri-dish. Radicle emergence of 1 mm was scored as germination. The time course of germination was modeled using a logistic function. These minimum, optimum, and maximum temperatures were estimated by regression of the inverse of time to 50% germination rate against the temperature gradient. In bilinear function, minimum, optimum, and maximum temperatures were $7.9^{\circ}C$, $23.3^{\circ}C$, and $28.0^{\circ}C$, respectively. In parabolic function, minimum, optimum, and maximum temperatures were $9.7^{\circ}C$, $19.5^{\circ}C$, and $29.4^{\circ}C$, respectively. In beta distribution function, minimum, optimum, and maximum temperatures were $3.7^{\circ}C$, $20.7^{\circ}C$ and $32.0^{\circ}C$, respectively. Minimum, optimum, and maximum ranges of temperatures were $3.7{\sim}9.7^{\circ}C$, $19.5{\sim}23.3^{\circ}C$, and $28.0{\sim}32.0^{\circ}C$, respectively.