Stainless steel, a type of steel used for high-temperature parts, may cause damage when exposed to high temperatures, requiring additional coatings. In particular, the Cr2O3 product layer is unstable at 1000oC and higher temperatures; therefore, it is necessary to improve the oxidation resistance. In this study, an aluminide (Fe2Al5 and FeAl3) coating layer was formed on the surface of STS 630 specimens through Al diffusion coatings from 500oC to 700oC for up to 25 h. Because the coating layers of Fe2Al5 and FeAl3 could not withstand temperatures above 1200oC, an Al2O3 coating layer is deposited on the surface through static oxidation treatment at 500oC for 10 h. To confirm the ablation resistance of the resulting coating layer, dynamic flame exposure tests were conducted at 1350oC for 5–15 min. Excellent oxidation resistance is observed in the coated base material beneath the aluminide layer. The conditions of the flame tests and coating are discussed in terms of microstructural variations.

PURPOSES : In this study, we analyzed the characteristics of nitrogen oxide and fine particulate matter concentration for boarding positions at the bus stop of an exclusive bus lane, using a correlation analysis and a generalized linear model. METHODS : To analyze the air pollution characteristics for boarding positions at the bus stop, data on nitrogen oxide, fine particulate matter concentration, relative humidity, temperature, wind speed, solar radiation, and bus traffic volume were acquired. Using the collected data, a correlation analysis for nitrogen oxide and fine particulate matter was carried out for each boarding position. Additionally, the prediction models for each pollutant were estimated using a generalized linear model, to analyze their characteristics. RESULTS : Correlation analysis revealed that relative humidity and bus volume were positively correlated with both nitrogen oxide and fine particulate matter concentrations in all boarding positions, whereas temperature, wind speed, and solar radiation were negatively correlated. Based on the estimated models from the generalized linear model, the nitrogen oxide concentration at the first measurement point was found to be affected by relative humidity, temperature, and bus volume, whereas at the second measurement point, it was found to be affected by relative humidity, temperature, and solar radiation. Additionally, all factors were significant for fine particulate matter concentration at both boarding positions. CONCLUSIONS : The analytical results indicated that the characteristics of nitrogen oxide and fine particulate matter concentration at the bus stop of an exclusive bus lane varied significantly depending on the boarding positions. Particularly, it was found that the correlation between solar radiation, and nitrogen oxide and fine particulate matter was different because of the conversion of nitrogen oxide to fine particulate matter.

PURPOSES : The purpose of this study was to analyze the effect of reducing nitrogen oxide concentration in a photocatalyst (titanium dioxide) using statistical methods such as the Anderson-Darling test. METHODS : To compare and analyze the effect of reducing the nitrogen oxide concentrations in titanium dioxide, titanium dioxide was applied to the public road, and data acquisition in terms of nitrogen oxide concentration was conducted from roads with/without applying titanium dioxide (test section and reference section, respectively). Then, the probabilities of occurrence of nitrogen oxide concentrations in the test and reference sections were estimated and compared using the Anderson-Darling test. RESULTS : According to the comparison and analysis of probabilities in the nitrogen oxide concentration of the test and reference sections, the probabilities of nitrogen oxide concentration on December 4th were estimated as ‘High’ (17.5%, 37.9%), ‘Moderate’ (30.5%, 40.8%), and ‘Low’ (52.0%, 21.3%), respectively, and on December 5th, as ‘High’ (20.6%, 39.1%), ‘Moderate’ (26.2%, 33.0%), and ‘Low’ (53.2%, 27.9%), respectively. In addition, the probabilities of nitrogen oxide concentration in the test and reference sections were analyzed on December 6th as ‘High’ (16.5%, 36.8%), ‘Moderate’ (27.9%, 38.5%), and ‘Low’ (55.6%, 24.8%), respectively. CONCLUSIONS : Based on the results of this study, in the test section with application of titanium dioxide, the nitrogen oxide concentration was found to have a low probability, and in the reference section, the nitrogen oxide concentration was found to be higher than that in the test section. Therefore, it can be concluded that titanium dioxide applied to road facilities has a nitrogen oxide reduction effect.

PURPOSES : This study analyzes the characteristics of nitrogen oxide concentration by applying titanium dioxide to existing roads in urban areas, using correlation analysis and a generalized linear model. METHODS : To analyze the characteristics of nitrogen oxide concentration with/without applying titanium dioxide to the urban road segment, data acquisition was conducted for nitrogen oxide concentration, weather information, and traffic information, etc., and a correlation analysis was conducted for each factor, with/without applying titanium dioxide to the roads. In addition, nitrogen oxide concentration generation models with/without the application of titanium dioxide to the roads were estimated using a generalized linear model. RESULTS : The results demonstrate that relative humidity and temperature were found to be slightly correlated with the nitrogen oxide concentration, both with and without the application of titanium dioxide to the roads; however, wind speed, solar radiation, and traffic volume were found to have somewhat low correlation according to the results of a correlation analysis. Moreover, relative humidity, temperature, solar radiation, and traffic volume were significant when titanium dioxide was applied to the roads, based on the estimated model from a generalized linear model, and the wind speed, solar radiation, and traffic volume were significant for the absence of titanium dioxide on the roads. CONCLUSIONS : Analytical results indicated that the characteristics of nitrogen oxide concentration vary depending on the application of titanium dioxide to the roads. In particular, when titanium dioxide was applied to the roads, the relative humidity and temperature were analyzed; according to both analyses, i.e., correlation analysis and a generalized linear model, the nitrogen oxide concentration was affected.

PURPOSES : The purpose of this study is to measure and analyze the fugitive dust generated by each process through field tests to develop a technology to reduce fugitive dust generated during excavation-restoration work on road pavements. METHODS : The testbed was constructed based on a typical excavation-restoration construction section and comprised five sections for reproducibility and repeated measurements. The excavation-restoration work was divided into pavement cutting, pavement crushing, pavement removal, excavation, and restoration processes and fugitive dust generated by each process was measured. Fugitive dust (TSP, PM10, PM2.5, and PM1) was measured using a GRIMM particle spectrometer, which applies the principle of a light scattering spectrometer and can be measured in real-time. RESULTS : Analyses of the average mass concentration of PM10 generated by the excavation-restoration process are as follows: 1286.3 μg/m³ from pavement cutting, 246.8 μg/m³ from pavement crushing, 697.0 μg/m³ from pavement removal, 747.9 μg/m³ from excavation process, and 350.6 μg/m³ from the restoration process. In addition, the average particle size distribution of the excavationrestoration construction was in the order of PM10~PM2.5 (67 %), PM1 or less (24 %), and PM2.5~PM1 (9 %). The pavement cutting process is characterized by the emission of high concentrations of fugitive dust over a short time, compared to other processes. The pavement crushing process has the characteristic of steadily generating fugitive dust for a long period, although the emission concentration is small. CONCLUSIONS : In this study, it was found that the concentration and characteristics of fugitive dust generated during road pavement excavation-restoration works vary by process and the reduction technology for each process should be developed accordingly.

PURPOSES : The objective of this study is to determine the characteristics of nitrogen oxide (NOx) concentration in an exclusive median bus lane station. The hourly variations of NOx concentration and the effect of traffic volume on NOx concentration were analyzed using NOx measurement data and the number of vehicles at the station. METHODS : Data were collected using the chemiluminescence method for NOx concentration. Atmospheric information and traffic volume of buses were collected from the Korea Meteorological Administration and Bus Information System, respectively. RESULTS : As a result, the NO2 concentration in the test section was found to have a strong correlation with those in the atmospheric measurement station located near the test-bed. In addition, the average NOx concentrations in the test section were significantly higher than those of the other monitoring stations due to bus emissions. The average NOx concentration in the exit section was higher than that in the entry section owing to the vehicle’s frequent stops and fuel consumption due to acceleration. During the measurement period, the average NOx concentration was measured as approximately 33 % higher in the exit section than in the entry section. In addition, the NOx concentration at the bus station was found to increase as the bus dwell time increased, rather than the number of bus passages. CONCLUSIONS : This study provides clear characteristics of the NOx correlations with traffic information in an exclusive median bus lane station. It was shown that the NOx concentration at the bus station increased as the number of passes and bus dwell time increased. According to the coefficient of determination, the dwell time is more closely correlated to the NOx concentration at the bus station than the number of bus passes, indicating that it is a better parameter for predicting NOx concentration at bus stations.

충청북도농업기술원에서는 분홍색의 향기가 있고, Dendrobium kingianum에 비해 왜성종이며, 2월 하순경 개화하는 덴드로비 움 ‘리틀핑크’(D. kingianum ‘Little Pink’)를 육성하였다. 신품종 ‘리틀핑크’는 2007년 D. kingianum을 모본으로, D. kingianum var. silcockii를 부본으로 교배하였다. 종자 발아, 재배, 선발, 특성검정은 2008년부터 2015년까지 진행되었다. 생육이 좋고 꽃의 색, 모양이 우수한 계통을 선발한 후, 2016년부터 2018년까 지 3년에 걸쳐 국립종자원 신품종 심사기준으로 특성검정 결과, 우수성이 인정되어 2019년 최종 선발하여 ‘리틀핑크’로 명명하 였다. 주요 특성은 다음과 같다. 화색은 분홍색으로 Red-purple Group 72B(RHS color chart)이며, 향기가 있고 꽃잎무늬는 농담 무늬이다. 식물체 크기는 7.3cm로 대조품종 D. kingianum 23.5cm에 비해 작은 왜성종이다. 엽의 폭은 1.2cm이고, 꽃의 넓이는 2.4cm이다. 소화수는 3.7개이고 전반적으로 화분의 볼 륨감이 좋은 편이다. 꽃자루 길이는 7 .2cm로 대조품종 D. kingianum에 비해 짧다. 개화기는 2월 하순이며, 개화기간은 30일 정도이다.

PURPOSES : In this study, the characteristics of fine particulate matter (PM2.5) concentrations under different weather conditions of different types of bus stops, such as enclosed-type and open-type bus stops, were analyzed using statistical methods. METHODS : Data was collected inside and outside an enclosed bus stop on sunny and rainy days to compare and analyze the characteristics of fine particulate matter concentration in the target bus stop. The probability distributions were estimated for each data point using the Anderson–Darling test. Based on the estimated probability distributions, probability density functions were computed, and the values were used to estimate and compare probability for each air quality index inside and outside the bus stop under different weather conditions RESULTS : For the results of descriptive statistics, the average concentrations of fine particulate matter inside and outside the bus stop were 42.296 and 35.482 μg/m3 on a sunny day and 40.831 and 39.321 μg/m3 on a rainy day, respectively. Results of the statistical method, obtained using the Anderson-Darling test, indicate that the probability of the air quality index inside the bus stop reaching high concentrations on a sunny day was "high" or "very high," compared to that outside the bus stop. However, on rainy days, the differences in fine particulate matter concentrations inside and outside the bus stops were difficult to identify based on statistical evidence. CONCLUSIONS : It was found that the open-type bus stop had an advantage of preventing fine particulate matter effects on sunny days, compared to the enclosed-type bus stops. Furthermore, there were slight differences in fine particulate matter concentrations inside and outside the bus stop on a rainy day because of atmospheric flow and stormwater.

PURPOSES : A pilot experimental study on the formation of fine particulate matter through photochemical reactions using precursor gas species (volatile organic compounds (VOCs), NH3, SO2, and NOx) was conducted to evaluate the large-scale environment chamber for investigating the pathway of aerosol formation and the subsequent assessment techniques used for reducing fine particulate matter. Two small-scale environment chambers (one experimental group and one control group), each with a width, depth, and height of 3 m, 2 m, and 2.3 m, respectively, were constructed using ethylene tetrafluoroethylene (ETFE) films. METHODS : The initial conditions of the fine particles and precursor gases (NOx and VOCs) for the small-scale environment chamber were set up by injecting diesel vehicle exhaust. NH3 and H2O2 were added to the small-scale environment chamber for the photochemical reaction to form organic and inorganic aerosols. The gas phase of the VOCs and the chemical compositions of aerosols were investigated using a proton transfer reaction time-of-flight mass spectrometer and the aerodyne high-resolution time-of-flight aerosol mass spectrometer at 1 and 10 s time resolutions, respectively. Gas phases of NO and NO2 were measured using Serinus 40 NOx at a 20 s time resolution. RESULTS : The small-scale environment chambers built using ETFE films were proved to supply sufficient natural sunlight for the photochemical reaction in the environment chambers at an average of approximately 89% natural sunlight transmission at 300–1000 nm. When the intermediates of NH3 and H2O2 for the atmospheric chemical reaction were injected for the initial condition of the small-scale environment chamber, nitrate and ammonium in the experimental group increased to 4747% and 1837%, respectively, compared to the initial concentrations (5.4 μg/m3 of nitrate and 5.2 μg/m3 of ammonium), indicating the formation of secondary inorganic aerosols of ammonium nitrate (NH4NO3). This implies that it is necessary to inject intermediates (NH3 and H2O2) for the formation of fine particulate matter when simulating the atmospheric photochemical reaction for assessing the environment chamber. CONCLUSIONS : This study has shown that small-scale environment chambers can simulate the atmospheric photochemical reaction for the reduction of fine particulate matter and the formation of the aerosol pathway. The results of this study can be applied to prevent time and economic losses that may be incurred in a full-scale environment chamber.

PURPOSES : This study analyzes the characteristics of generated fine particulate matter (PM2.5) and nitrogen oxide (NOX) at roadsides using a statistical method, namely, a generalized linear model (GLM). The study also investigates the applicability and capability of a machine learning methods such as a generalized regression neural network (GRNN) for predicting PM2.5 and NOX generations. METHODS : To analyze the characteristics of PM2.5 and NOX generations at roadsides, data acquisition was conducted in a specific segment of roads, and PM2.5 and NOX prediction models were estimated using GLM. In addition, to investigate the applicability and capability of a machine learning methods, PM2.5 and NOX prediction models were estimated using a GRNN and were compared with models employing previously estimated GLMs using r-square, mean absolute deviation (MAD), mean absolute percentage error (MAPE), and root mean square error (RMSE) as parameters. RESULTS : Results revealed that relative humidity, wind speed, and traffic volume were significant for both PM2.5 and NOX prediction models based on estimated models from a GLM. In addition, to compare the applicability and capability of the GLM and GRNN models (i.e., PM2.5 and NOX prediction models), the GRNN model of PM2.5 and NOX prediction was found to yield better statistical significance for r-square, MAD, MAPE, and RMSE as compared with the same parameters used in the GLM. CONCLUSIONS : Analytical results indicated that a higher relative humidity and traffic volume could lead to higher PM2.5 and NOX concentrations. By contrast, lower wind speed could affect higher PM2.5 and NOX concentrations at roadsides. In addition, based on a comparison of two statistical methods (i.e., GLM and GRNN models used to estimate PM2.5 and NOX), GRNN model yielded better statistical significance as compared with GLM.

This study was conducted to investigate cucumber plants response to greenhouse environments by solar shading in greenhouse in the summer. In order to estimate heat stress reduction of cucumber plants by solar shading in greenhouse, we measured and analyzed physiological conditions of cucumber plants, such as leaf temperature, leaf-air temperature, rubisco maximum carboxylation rate, maximum electron transport rate, thermal breakdown, light leaf respiration, etc. Shading levels were 90% mobile shading of full sunlight, 40% mobile shading of full sunlight and no shading(full sunlight). The 90% shading screen was operated when the external solar radiation is greater than 650 W·m-2. Air temperature, solar radiation, leaf temperature, leaf-air temperature and light leaf respiration in the 90% shading of full sunlight was lower than those of 40% shading and no shading. Rubisco maximum carboxylation rate, arrhenius function value and light leaf respiration of the 90% shading were significantly lower than those of 40% shading and no shading. The thermal breakdown, high temperature inhibition, of 90% shading was significantly higher than that of 40% shading and no shading. Therefore, these results suggest that 90% mobile shading made a less stressful growth environment for cucumber crops.

PURPOSES : The objective of this study is to figure out the trend and characteristics of fine particulate matter (PM2.5) and nitrogen oxide (NOx) concentration in underpass sections. The effect of traffic and meteorological condition on PM2.5 / NOx concentration was analyzed using field monitoring data. METHODS : Based on the literature review, PM2.5 and NOx concentration data were monitored using DustTrak II aerosol monitoring system and Serinus 40 oxides of nitrogen analyzer, respectively. Meteorological and traffic information was collected using automatic weather system and traffic volume counter, respectively. RESULTS : PM2.5 has a positive and negative correlation with relative humidity and wind speed, respectively. Meanwhile, NOx was found to have no correlation with meteorological conditions. The NO/NO2 ratio tends to change with traffic volume, indicating higher correlation between NO and traffic volume; the observed NO2 is mostly a secondary material produced by NO oxidation. CONCLUSIONS : Our study provides clear characteristics of NOx and PM2.5 and correlations with meteorological and traffic information in the underpass sections. It is found from this study that the increase in wind speed causes reduction in the concentration of PM2.5 owing to the diffusion and dispersion phenomena. On the other hand, the meteorological conditions were found to barely have correlations with NOx concentrations in this study. The traffic volume could significantly affect the NOx concentration and NO / NO2 ratio, which is directly correlated to the emissions from vehicles.

본 연구는 Agastache 속 여러 종에서 국내 자생지 환경요건에 적합하면서 생육 및 기능성 물질 함량면에서 가장 최적의 종을 선정하고자 하였다. 첫째, 11종의 배초향(Agastache)속 종자를 구입하여 미국 농무성(USDA) 식물 내한성 지도(plant hardiness zone map) 및 국내 식물 내한성 지도를 참고하여 11종에서 생육 및 기능성 분석을 할 5종을 선정하였다. 둘째, 배초향(Agastache) 속 5개 품종인 A. cana, A. foeniculum, A. rugosa ‘Spike Blue’, A. rugosa ‘Spike Snow’, A. rupestris에 대해 초장, 엽장, 엽폭, 엽면적, 엽수, SPAD, 지상부 생체중 및 건물중, 지하부 생체중 및 건물중 등의 생육 분석을 실시하였다. 생육 분석 결과, A. rugosa SB 및 A. rugosa SS 종에서 전체적으로 균형 있게 높은 수치를 나타냄을 알 수 있어, 생육 부문에서는 A. rugosa 계통의 품종이 다른 품종에 비해서 유리하다고 볼 수 있다. 셋째, rosmarinic acid, tilianin, acacetin 성분에 대해 단위 중량당 함량 및 식물체 1중당 함량 등의 기능성물질 함량 분석을 실시하였다. 기능성 물질 분석 결과, A. rugosa 계통 종에서 기능성 물질 및 항산화물질 함량이 유의적으로 높았으며, 이는 생육 결과값과 정비례적인 연계성이 크다고 보여진다. 따라서, 배초향(Agastache)속 종에 대한 생육과 기능성 부분을 종합적으로 고려할 때, A. rugosa SS 및 A. rugosa SB 등 A. rugosa 계통이 가장 최적의 고부가가치 작물로 적합할 것이라고 판단된다.

본 연구는 훼손된 하천 수생태계의 훼손원인을 식별하고 그 전이 과정을 규명하기 위해 수생태계 훼손원인 진단체계를 구축하고 정책적 활용 가능성을 보고자 하였다. 수생태계 현황 조사 및 건강성 평가결과는 하천의 훼손에 대한 전반적인 상황을 알 수 있어 하천 복원 및 관리의 판단 근거로 사용된다. 그러나 하천이 훼손된 원인이나 훼손이 발생하게 된 전이 과정을 고려하지 못한다는 한계를 가진다. 따라서 본 연구에서는 과학적이고 체계적인 진단체계를 제안하여 훼손원인과 그 전이 과정을 규명하였다. 미국, 호주, 유럽의 사례를 분석하여 우리나라에 맞는 진단체계를 제안하였다. 총 8단계로 구성되며, 기초자료 조사, 하천 수생태계 훼손 판단, 훼손 구간 설정, 훼손 유형화 및 잠재적 훼손원인 도출, 본 조사, 주 훼손원인 진단 및 최적 훼손 모델 도출, 종합분석 및 하천 복원방안으로 이루어져 있다. 이러한 진단체계는 하천 생태계의 복잡하고 다양한 특성을 고려하여 훼손원인을 파악할 수 있으며 하천 복원 및 관리 방안을 제시하여 효율적인 의사결정을 지원할 수 있다.

최근에는 4차 산업혁명 시대로서 인공지능, IOT(Internet of Things) 등 모든 산업의 핵심은 소프트웨어로 이러한 시대의 변화에 맞게 소프트웨어 교육 즉 코딩 교육에 대한 관심이 고조되며 화두가 되고 있다. 컴퓨팅 사고력 검사에서는 평가, 분해, 알고리즘에 유의미한 상승이 있는 것으로 나타났고, 창의력 검사에서는 독창성, 성급한 종결에 대한 저항에 통계적으로 유의미한 상승이 있는 것으로 나타났다. 이러한 결과는 본 연구의 미술 코딩 교육 프로그램에서 강조하고 있는 컴퓨팅 사고력과 창의력을 향상시켜주며 이를 통해 프로세싱을 활용한 미술 코딩 교육 프로그램만으로도 효과가 있다는 것을 알 수 있다. 아직 교육 현장에서는 변화의 물결에 대응할 만큼 소프트웨어 교육을 통한 미래 인재 양성 교육에 대한 인식과 관심, 준비가 충분하지 못한 것이 현실이다. 본 연구는 이러한 교육의 목적 달성에 기여하고자 컴퓨팅 사고력과 창의력 향상을 위한 미술 코딩 교육 프로그램에 대한 실험 연구로 좀 더 다양한 주제로 게임 코딩 교육 프로그램 개발에도 적용될 것이다.