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도로 동상방지층의 온도계측 자료를 이용한 수치해석 연구
손재호(Son, Jaeho),서용원(Seo, Youngwon),박영목(Park, Youngmog),조규태(Cho, Gyutae) 한국방재학회 2019 한국방재학회논문집 Vol.19 No.7
우리나라는 겨울철이 되면 기온이 0 ℃이하로 내려가고 지반이 동결되고 팽창되어 도로구조물에 피해를 끼친다. 지반동결로 인한 피해를 사전에 파악하고 대처하기 위해서는 지중온도의 예측은 매우 중요하다. 지중온도를 예측하기 위하여 장기간 도로포장구조물의 온도를 측정한 국토해양부(2012)에서 주관한 “도로 동상방지층의 효용성 검증 및 설치기준 연구”의 포장층별 온도자료를 이용해 Crank-Nicholson차분법에 의한 수치해석을 통하여 온도예측을 실시하였다. 저성토부, 절성경계부, 절토부으로 세 구간의 표층, 기층, 동상보조기층, 동상방지층의 온도데이터로 수행하였고, 기간은 2011년 1월25일~2011년 3월 6일 총 42일간의 자료를 이용하여 수치해석을 실시하였다. 열확산계수는 표층, 기층, 보조기층, 동상방지층에서 각각 1 × 10,⁻¹⸱⁶, 1 × 10⁻²⸱⁸, 1 × 10⁻²⸱¹, 1 × 10⁻²⸱³ ㎠/s로 나타났고, 계산결과온도와 실체측정온도의 최저기온에서 약 3 ℃ 차이가 나타났다. In Korea, the temperature drops below 0 °C in winter and rises above 0 °C in spring. The temperature variation between the two seasons causes the ground to freeze and thaw, which damages the road pavement structures. Predicting the ground temperature is very important to identify and respond to the road damage due to ground freezing and thawing. Numerical analysis was performed using the Crank-Nicholson differential method to predict the temperature of each layer of the road. Additionally, the data gathered from temperature measurements of each layer of the road pavement for 42 days for Evaluation of validity for Anti-frost layer and development of its construction criteria organized by the Ministry of Land, Transport, and Maritime Affairs (2012) was used for the prediction. The thermal diffusion factor obtained in the present numerical analysis were compared with those of previous studies. The numerical analysis was conducted using temperature data measured from three sections: cutting area, boundary area of cutting and banking, and low banking for 42 days from January 25, 2011 to March 6, 2011. The coefficient of thermal diffusion are 1 × 10,⁻¹⸱⁶, 1 × 10⁻²⸱⁸, 1 × 10⁻²⸱¹, and 1 × 10⁻²⸱³ ㎠/s in the surface, base, subbase, and anti-frost layers, respectively. The calculated value of the lowest temperature showed a difference of approximately 3 °C compared with the actual measured temperature.
Multi-Target Radar Tracking Estimation Algorithm for Automotive Embedded Applications
Minha Park,Seunghwan Seo,Gyutae Jung,Kukki Im 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
This paper presents tracking estimation algorithm and its feasibility analysis in computation load for the situation of multi-target automotive radar applications. Tracking algorithms have been evolved for many decades and played very important roles in space, military, and civilian sectors. Among many tracking methods, it is very critical task to utilize the most appropriate approach for each target application because there is always trade-off among performance, robustness, the computation load and etc. In the automotive world, unlike space and military industries, more constraints like cost and size should be taken into account in development within a certain limited time frame. Among them, the computation load is very significant in real-time embedded applications because the more computation capability is totally proportional to the cost increase of the system indeed. Based on literature researches and simulations, a couple of Kalman Filters were proposed as multi-target radar tracking estimation method and simulated and both elapsed time in simulation environments and in target board were compared and analyzed. As the system needs better performance and robustness in all situations, it will require more computation load in the processor resulting in the higher cost to the end. In the further research, the computation load should be analyzed in more details to adopt the most appropriate model for the specific application.
손재호(Son, Jaeho),서용원(Seo, Youngwon),박영목(Park, Youngmog),조규태(Cho, Gyutae) 한국방재학회 2020 한국방재학회논문집 Vol.20 No.1
우리나라는 겨울철이 되면 기온이 0 ℃이하로 내려가고 지반이 동결되고 팽창되어 도로구조물에 피해를 끼친다. 지반동결로인한 피해를 사전에 파악하고 대처하기 위해서는 지중온도의 예측은 매우 중요하다. 도로의 각 층의 온도를 예측하기 위하여크랭크-니콜슨 차분법에 의한 수치해석을 수행하였으며 지중온도를 예측하기 위하여 장기간 도로포장구조물의 온도를 측정한국토해양부(MLTM, 2012)에서 주관한 “도로 동상방지층의 효용성 검증 및 설치기준 연구”의 포장층별 온도자료를 이용해인공지능의 한 분야인 기계학습에 의한 수치해석을 통하여 온도예측을 실시하였다. 약 650일의 온도자료를 인공지능의 한분야인기계학습 중 심층신경망학습을 이용하여 동상방지층의 온도예측을 수행하였고, 히든레이어 수와 노드 수를 변경시켜가며트레이닝과정을 거쳤다. 히든레이어가 두 개이고 노드의 수가 40, 100 개인 경우 1에 가까운 적합도를 나타냈으며, 트레이닝결과를이용하여 예측모델을 만들었고 적합도가 0.87인 결과를 나타내었다. In Korea, the temperature falls below 0 °C in winter and rises above 0 °C in spring. This change in temperature between the two seasons results in the ground alternatively freezing and thawing, which leads to road surfaces being damaged. Predicting the ground temperature becomes very important in identifying and responding to potential infrastructure damage due to the ground freezing and thawing. A simulation was conducted through numerical analysis using the Crank-Nicholson differential method to predict the temperature of each layer of a road. Moreover, the data gathered from measuring the temperature at each layer of a road over a period of 42 days in “Evaluation of Validity for Anti-frost Layer and Development of its Construction Criteria,” organized by the Ministry of Land, Transport and Maritime Affairs (2012), were used for the simulation. The training for temperature prediction of the anti-frost layer was performed using deep learning machine learning techniques with 650 days of measurement data by changing the number of hidden layers and nodes. With two hidden layers, 40 nodes, and 100 nodes, the reliability of the training result was close to 1. The reliability of the predictive model, a by-product of the training, was approximately 0.87.
인간소변으로부터 생산된 MAP struvite 중 잔류미량의약물질 분석
장현희 ( Hyun Hee Jang ),서영민 ( Youngmin Seo ),전준호 ( Junho Jeon ),서규태 ( Gyutae Seo ) 한국수처리학회 2015 한국수처리학회지 Vol.23 No.6
This study is intended on production of MAP struvite from human urine and analysis of residual pharmaceuticals in the produced struvite. Experiments were conducted using hydrolyzed human urine and RO concentrate as magnesium source for MAP precipitation. An integrated single reactor was operated for MAP struvite precipitation at pH 9 although the optimum reaction pH was 10. There was not significant difference in the MAP production between pH 9 (2.08g MAP/L urine) and 10 (2.19g MAP/L urine). Pretreatment of the samples using Solid-Phase Extraction (SPE) was carried out for the pharmaceutical analysis in the MAP struvite and supernatant followed by LC/MS/MS for quantitative analysis. The result of analysis illustrated that 0.06 ㎍/g MAP to 6.22 ㎍/g MAP of pharmaceuticals are adsorbed on precipitated MAP struvite which may create a number of negative effects to environment if directly applied in agricultural purposes. The result of this study suggests that, to increase the applicability of MAP struvite precipitated using human urine, pretreatment of urine for pharmaceutical pollutants removal is needed.
도로변 초미세먼지의 실시간 질량농도 및 부피농도 측정을 이용한 시간별 밀도 분석-광흡수 eBC에 대한 OPS 보정 중심
김은영(Eunyoung Kim),서석준(Seokjun Seo),김선문(Sunmoon Kim),정성운(Sungwoon Jung),이용민(Yongmin Lee),오세호(Sea-Ho Oh),박규태(Gyutae Park),김경훈(Kyunghoon Kim),김정화(Jounghwa Kim),홍유덕(Youdeog Hong),이태형(Taehyoung Lee),배민석(Mi 한국대기환경학회 2018 한국대기환경학회지 Vol.34 No.6
오존산화에 의한 폐간장의 색도 및 COD 제거효과에 대한 연구
장현희 ( Hyunhee Jang ),정대운 ( Dae-woon Jeong ),서규태 ( Gyutae Seo ) 한국수처리학회 2016 한국수처리학회지 Vol.24 No.6
The objective of this paper is to evaluate the effect of ozone-based oxidation as a feasible treatment method of waste soy sauce with high concentration COD and color. Various ozone oxidation experiments were carried out in a reactor with working volume 1L for 30 min. contact for two types of the waste soy sauce (Dark and light). The experiment was conducted in the condition of ozone injection from 10mg/L to 90mg/L and pH 3 to 13. It was observed that there was a pick value in the ozone oxidation of the color and COD in the waste soy sauces at pH 11 and 50 mg/L of ozone injection. In the experiment with various dilution rate of the waste soy sauces, rapid increase of the removal efficiency was found at 50 times dilution in the condition of pH 11 and 50mg/L. The removal efficiency of color and COD were 97.3% and 92.4% for the light soy sauce showing the concentration 2 TCU and 281 mg/L after the reaction. In case of dark soy sauce, they were 95% and 87% (4 TCU and 568 mg/L), respectively. From KI method used to measure gaseous ozone concentration after oxidation reaction, the color and COD can be removed with 49.83 mg/L of ozone concentration were 2 TCU Color/mg O<sub>3</sub> and 111.5 mg COD/mg O<sub>3</sub> for light soy sauce, 2.3 TCU Color/mg O<sub>3</sub> and 115 mg COD/mg O<sub>3</sub> for dark soy sauce.
Yun, Jinyoung,Kim, Jaeyun,Jang, Ho-Kyun,Lee, Kook Jin,Seo, Jung Hwa,Jung, Byung Jun,Kim, Gyutae,Kwak, Jeonghun Elsevier 2017 ORGANIC ELECTRONICS Vol.50 No.-
<P><B>Abstract</B></P> <P>The balance of electron–hole charge carriers in quantum dot (QD) light-emitting diodes (QLEDs) is an important factor to achieve high efficiency. However, poor interfacial properties between QDs and their adjacent layers are likely to deteriorate the electron–hole charge balance, resulting in the poor performance of a QLED. In this paper, we report an enhanced efficiency in red-emitting inverted QLEDs by modifying the interface properties between QDs and ZnO electron transport layer (ETL) using a thin layer of non-conjugated polymer, poly(4-vinylpyridine) (PVPy). Based on the precise control of the electrical properties with PVPy, the maximum efficiency of the QLED is enhanced by 30% compared to the device without a PVPy layer. In particular, the efficiency at low current density region is significantly increased. We investigate the effect of the PVPy interlayer on the performance of QLEDs and find that this thin layer not only shifts the energy levels of the underlying ZnO ETL, but also effectively blocks the leakage current at the ETL/QD interface.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Tailored electron–hole balance using a PVPy interlayer improved QLED performance. </LI> <LI> PVPy interlayer efficiently blocked leakage current paths. </LI> <LI> PVPy interlayer reduced electron injection by shifting the energy levels of ZnO. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>