• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.686-693
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• 2014

This study presents a model that enables to predict road surface temperature using neural network theory. Historical road surface temperature data were collected from Road Weather Information System. They used for the calibration of the model. The neural network was designed to predict surface temperature after 1-hour, 2-hour, and 3-hour from now. The developed model was performed on Cheongwon-Sangju highway to test. As a result, the standard deviation of the difference of the predicted and observed was $1.27^{\circ}C$, $0.55^{\circ}C$ and $1.43^{\circ}C$, respectively. Also, comparing the predicted surface temperature and the actual data, R2 was found to be 0.985, 0.923, and 0.903, respectively. It can be concluded that the explanatory power of the model seems to be high.

• Journal of Sericultural and Entomological Science
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• v.16 no.2
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• pp.147-155
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• 1974

The purpose of this study is to find out influence of reeling conditions on the denier control of raw silk for automatic silk reeling machine. The results obtained are as follows： 1. Effect of groping end part temperature (X$_1$) (1) Average size Y＝0.02945X$_1$＋18.27 (2) Size range Y＝0.04224X$_1$＋2.99 (3) Size deviation Y＝0.01667X$_1$－0.13 (4) Maximum deviation of size Y＝0.04657X$_1$－0.929 (5) Quality of raw silk Y＝－0.07055X$_1$＋10.082. Effect of silk reeling bath temperature (X$_2$) (1) Average size Y＝0.0334X$_2$＋19.08 (2) Size range Y＝0.016X$_2$＋5.24 (3) Size deviation Y＝0.0014X$_2$＋1.05 (4) Maximum deviation of size Y＝0.0206X$_2$＋1.59 3. Effect of silk reeling velocity(X$_3$) (1) Size range Y＝0.01797X$_3$＋3.95 (2) Size deviation Y＝0.00327X$_3$＋0.845 (3) Maximum deviation of size Y＝0.00905X$_3$＋1.50 (4) Quality of raw silk Y＝－0.03232X$_3$＋8.62

• Journal of Bio-Environment Control
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• v.31 no.3
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• pp.221-229
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• 2022

This study was aimed to investigate spatial and vertical characteristics of greenhouse environments according to the location of the environmental sensors, and to investigate the correlations between temperature, light intensity, and carbon dioxide (CO₂) concentration according to the type of greenhouse. Temperature, relative humidity (RH), CO₂, and light sensors were installed in the four-different vertical positions of the whole canopy as well as ground and roof space at the five spatial locations of the Venlo greenhouse. Also, correlations between temperature, light intensity, and CO₂ concentration in Venlo and semi-closed greenhouses were analyzed using the Curve Expert Professional program. The deviations among the spatial locations were larger in the CO₂ concentration than other environmental factors in the Venlo greenhouse. The average CO₂ concentration ranged from 465 to 761 µmol·mol^-1 with the highest value (646 µmol·mol^-1) at the Middle End (4ME) close to the main pipe (50Ø) of the liquefied CO₂ gas supply and lowest (436 µmol·mol^-1) at the Left Middle (5LM). The deviation among the vertical positions was greater in temperature and relative humidity than other environments. The time zone with the largest deviation in average temperature was 2 p.m. with the highest temperature (26.51℃) at the Upper Air (UA) and the lowest temperature (25.62℃) at the Lower Canopy (LC). The time zone with the largest deviation in average RH was 1 p.m. with the highest RH (76.90%) at the LC and the lowest RH (71.74%) at the UA. The highest average CO₂ concentration at each hour was Roof Air (RF) and Ground (GD). The coefficient of correlations between temperature, light intensity, and CO₂ concentration were 0.07 for semi-closed greenhouse and 0.66 for Venlo greenhouse. All the results indicate that while the CO₂ concentration in the greenhouse needs to be analyzed in the spatial locations, temperature and humidity needs to be analyzed in the vertical positions of canopy. The target CO₂ fertilization concentration for the semi-closed greenhouse with low ventilation rate should be different from that of general greenhouses.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.297-298
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• 2015

반도체 제조 및 FPD제조 공정 중 WAFER 및 GLASS 제품의 상태를 직접적으로 관리하는 기술로서 기존에 널리 사용하고 있는 방법은 CHAMBER의 온도나 상태 등의 설비 컨디션 상태를 관리 모니터링 하는 것이다. 반도체 제조의 공정비용을 최소화하기 위하여 기존 방법과 달리 WAFER 및 GLASS의 온도 상태 등을 직접적으로 모니터링 하는 시스템으로 반도체 FPD제조 공정 중 장비의 개별 특성에 따라 제품의 공정 편차로 인해 발생되는 공정불량을 실시간으로 모니터링함으로서 불량을 최소화 할 수 있는 시스템을 제안한다.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.05a
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• pp.386-391
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• 1998

국내 가압경수로 가압기 안전밸브는 운영기술지침서에 따라 운전 중과 같은 환경조건에서 압력설정치(2,485 psig) 시험을 수행하도록 규정되어 있다. 가압기 안전 밸브는 일정한 주기로 압력설정치 시험이 수행되고 있으나, 시험시의 주변 온도, 사용 유체 등 그 시험 조건에 따라 압력설정 허용치 $\pm$1% 이상의 편차가 발생할 수 있음이 확인되고 있다. 본 연구에서는 압력설정치 시험시의 주변온도 상태에 따른 설정치 변동 사례를 조사하고, 보수 후 압력설정치 조정을 위한 대체 방안과 그 문제점을 고찰하였다.

• Journal of Advanced Navigation Technology
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• v.14 no.2
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• pp.227-232
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• 2010

According to the development of ubiquitous and computer techniques, the application fields of sensor network have been enlarged. We present the design and implementation of sensor node which is the most important component of sensor network techniques in this paper. The proposed sensor node is implemented with 8-bit microprocessor, and temperature and humidity sensing device to gather temperature and humidity data in real world. It achieves low production cost and user convenience, and also has the feature os existing commercial sensor node. Though our experiments, we show that deviation of temperature and humidity are $5^{\circ}C$ and 23.2% respectively, and the proposed sensor node is reliable in real applications.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.423.2-423.2
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• 2016

태양전지 모듈은 다층 구조를 형성하고 있으며, 신뢰성과 출력 향상을 위해 다양한 연구가 진행 중에 있다. 이를 위해서 모듈에 사용되는 전면 유리는 AR 코팅과 투과도가 좋은 저철분강화유리를 사용하고, 후면에는 반사도가 높은 Backsheet를 사용하게 된다. 또한 태양전지 모듈의 제작 조건 중 하나는 비슷한 출력을 갖는 태양전지를 사용하는 것이다. 만약 태양전지의 출력 불균일이 발생하게 되면 모듈 전체 출력이 낮아질 뿐만 아니라 출력이 낮은 태양전지가 주변 태양전지보다 높은 온도를 나타낸다. 태양전지 모듈에서 온도 편차가 발생한다는 것은 전지의 출력 불균일이 발생한다고 예상할 수 있는 지표이다. 따라서 태양전지 모듈의 후면에 온도 센서를 부착하여 모니터링하였으며, 태양전지 위치에 따라서 약 $3^{\circ}C$의 온도 차이가 발생하는 것을 확인 할 수 있었다.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.358-361
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• 2008

본 논문에서는 열화상촬영기 및 온도분포 해석 프로그램을 이용하여 금형가열온도와 실제 금형온도의 온도편차를 비교하여 금형가열 시 Stamper 표면의 온도분포를 해석하였다. 또한 전열가열방식(E-MOLD)을 이용하여 복합기능 도광판(Prismless LGP)을 제조하였고, 금형온도에 따른 복합기능 도광판(Prismless LGP)의 광특성 평가를 하였다. 그 결과 금형온도가 증가할수록 패턴 전사성 향상으로 인해 휘도 또한 증가하였고, 특히 유리전이온도($140^{\circ}C$) 이상에서 크게 상승하였다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2005.05a
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• pp.37-37
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• 2005

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.310-315
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• 2017

Automotive waterproof connectors are highly functional parts that must be air-tight in a complex environment. In the LSR multi-cavity injection molding process for manufacturing waterproof connectors, it is important to maintain a uniform curing temperature between the cavities in order to obtain a quality product. For this purpose, we designed the capacity of the cartridge heater differently for each position, and then linked the heat transfer analysis and optimization module to obtain the optimal cartridge heater capacity. As a result of the optimization analysis, the temperature deviation between cavities was decreased from $13.1^{\circ}C$ to $8.1^{\circ}C$ compared with the case in which constant heater capacity was applied, so that the design criterion could be satisfied within a temperature deviation of $10^{\circ}C$ for uniform curing. This study suggests that this method can be applied efficiently to the design of a large area multi-cavity LSR mold heater.