PURPOSES : This study aimed to estimate road pavement life expectancy using Bayesian Markov Mixture Hazard Model, to support infrastructure asset management. In addition, the life expectancies for the pavement condition index were compared among regional construction and management administrations. METHODS : Eleven years of National Highway road pavement monitoring data fused with ESAL (Equivalent Single Axle Loads), SNP (Structural Number of Pavement, an indicator of structural capacity), and average low temperature, total rainfall, and de-icing were used for the deterioration modeling. Deterioration modeling was performed through the Bayesian Markov Mixture Hazard Model. RESULTS : The expected life expectancy of the crack was estimated at 12.28 to 18.51 years, rut depth was estimated at 15.93 to 25.3 years, and the International Roughness Index was estimated at 10.44 to 14.33 years. It was also confirmed that the heterogeneity factor proposed in the Bayesian Markov Mixture Hazard Model could be used to analyze group characteristics and differences in the benchmark. CONCLUSIONS: This study provided important information in that it compared the life expectancies and structural characteristics of the pavement condition indexes among regional construction and management administrations. Based on this result, it is expected that a pavement structure design and maintenance strategy suitable for deterioration characteristics among regional construction and management administrations will be established.

The purpose of this study was to demonstrate the quality characteristics of Brassica juncea cultivated in Jeongseon (BJJ), South Korea. We analyzed the nutritional components and antioxidant activity of BJJ. As a result of the free sugar analysis, the contents of glucose and fructose in BJJ were 0.29±0.02 g/100 g and 0.10±0.00 g/100 g, respectively. The major fatty acids were palmitic acid, octadecenoic acid and stearic acid. The palmitic acid was the highest at 31.22% of all fatty acids. The major minerals were identified as Ca, P, K, Mg and Na. The contents of vitamin B1, vitamin B2, vitamin B6, vitamin C and vitamin E in BJJ were 0.02±0.00 mg/100 g, 0.087±0.01 mg/100 g, 0.02±0.00 mg/100 g, 0.56±0.06 mg/100 g and 0.20±0.03 mg α-TE/100 g, respectively. As a result of the free amino acid analysis, total amino acid contents in BJJ were 2,801.21±115.38 mg/100 g. L-proline content was the highest (744.30±119.06 mg/100 g) in BJJ. BJJ extract inhibits reactive oxygen species production in 3T3-L1 adipocytes. Also, BJJ extract exhibits a protective effect on oxidative stress in H2O2-induced human dermal fibroblast. These results indicate that BJJ comprises various valuable nutrients which can be used as functional food ingredients.

본 연구의 목적은 예부터 약재로 사용되며 식품원재료 데이터베이스에 등재되어 있는 국내 산림 자생식물 9종의 항산화 효능을 평가하여 기능성 식품원료로서의 기초자료를 제공하고자 하였다. 식물 9종의 잎, 줄기 및 잔가지 부위를 70% 에탄올을 사용하여 추출한 후, 항산화 활성 (DPPH, ABTS, 아질산염, hydrogen peroxide 라디칼 소거능, reducing power activity)을 측정하였으며, 그 결과 이질풀이 그 외 다른 식물 추출물보다 항산화 활성이 우수한 것을 확인하였다. 또한 총 폴리페놀, 플라보노이드 및 프로안토시아니딘 분석을 통해 이들의 항산화 성분의 함량을 측정하고자 하였다. 폴리페놀 함량은 이질풀에 이어서 가중나무, 찔레나무, 까마귀머루 순으로 많았으며, 플라보노이드 함량은 찔레나무, 까마귀머루, 까치밥나무, 머위가 많이 함유하고 있음을 확인하였다. 프로안토시아니 딘 함량은 까마귀머루, 다래, 까치밥나무, 찔레나무가 다른 식물 추출물에 비해 많은 함유량을 나타내어, 식물의 종에 따라 항산화 성분이 상이하게 존재하는 것을 확인하였다. 피부 섬유아세포를 이용하여 세포 독성을 평가한 결 과, 9종의 식물 추출물 모두 50, 100 및 200 μg/mL 농도 에서 독성을 나타내지 않았다. 또한 hydrogen peroxide로 피부 섬유아세포에 산화적 스트레스를 유도한 상태에서 XTT assay와 H2-DCFDA 염색을 통해 식물 추출물의 세포 생장률 및 세포 내 ROS 발생률을 측정한 결과, 이질풀을 포함 한 9종의 식물 추출물에서 농도 의존적인 세포 보호 효과를 나타내었다. 이상의 결과를 종합하여 볼 때 9종의 산림식물(머위, 뱀딸기, 찔레나무, 까치밥나무, 말오줌때, 가중 나무, 까마귀머루, 이질풀, 다래)은 추후 항산화에 도움을 주는 건강기능식품으로의 적용 및 항미백 효과로 인한 천연 화장품 소재로서 그 활용도가 넓을 것으로 예상된다. 특히 이질풀의 경우 본 연구를 바탕으로 하여 해당 작용 기전 등을 탐구하는 심화 연구가 필요하다고 사료된다.

본 연구는 고려엉겅퀴 주정추출물을 가지고 제작된 임 상시험용제품(CNTM)이 3T3-L1 지방세포 및 고지방식이 로 유도된 비만 쥐에 미치는 항비만 효능 관찰을 통하여 체지방 개선 기능성식품을 개발하기위하여 인체적용시험 시료를 제작한 후, 인체적용시험전에 그 효력이 유지됨을 확인하기위해 수행되었다. 본 연구에 사용된 시료 CNTM 은 80~320 μg/mL 농도에서 세포독성이 관찰되지 않았 며, 지방 축적억제 효능 및 지방세포 분화, 지질대사 관련 유전인자들을 유의적으로 변화시키는 것으로 확인되었다. 또한 동물실험에서 CNTM 처리에 의하여 체중의 감소를 확인하였으며 혈중지질 성분 가운데 HDL-C/TC의 비율은 유의적으로 증가하며 LDL-cholesterol (LDL-C)과 nonesterified fatty acid (NEFA)의 비율은 유의적으로 감소하 여 혈중 유리지방산 농도를 감소시키며 혈중 콜레스테롤 상승을 억제시키고 혈당을 감소시키는 효과가 있는 것으로 평가되었다. 따라서 고려엉겅퀴 주정추출물이 함유된 인체적용시험시료(CNTM)는 체지방 개선에 우수한 효과가 있는 것으로 확인되었다.

PURPOSES: In this study, algorithms were proposed for determining the crack condition of an asphalt pavement image using deep learning methods. METHODS: For the configuration of a deep learning network, the study used a Convolution Neural Network and You Only Look Once algorithms. To obtain input data for analysis, a camera was mounted on the bonnet of the vehicle to obtain images of asphalt pavement and to mark the ground-truth cracks in the asphalt pavement image. In addition, an algorithm suitable for the automatic determination function of Deep Learning was proposed in order to calculate the crack ratio and crack rating. RESULTS: The result of analysis showed that the recall rate of cracks in this system was higher from FPPW 5.0E-06 to 96.03%. Furthermore, the accuracy of the grading system was found to be 100%, enabling the determination of very accurate ratings. The rate of processing per image was 0.4448 seconds on average, and the real-time analysis of pavement images presented no problem because the assessment took place within a short time. CONCLUSIONS : Applying this system to the pavement management system is expected to reduce the time required in finishing work and to determine a quantitative crack rating.

본 연구는 연잎, 상엽, 건조 무 혼합 추출물의 wogonin, quercetin, quercetin-3-O-glucuronide의 함량 분석 및 해당 표준물질들의 동시 분석법의 개발 및 검증을 실시하였다. 분석법은 특이성, 직선성, 정확성, 정밀성, 검출한계 및 정량한계를 통하여 분석법의 신뢰성을 검증했다. HPLC를 이용한 분석방법에서 표준용액의 머무름 시간과 연잎, 상엽, 건조 무 혼합 추출물 중 quercetin-3-O-glucuronide의 머무름 시간이 일치하였으며 동일한 spectrum을 나타내는 것을 확인해 분석법의 특이성을 검증하였다. Wogonin, quercetin 및 quercetin-3-O-glucuronide의 검량선은 상관계수 값이 wogonin, quercetin 및 quercetin-3-O-glucuronide 모두 0.9999로 우수한 직선성을 보여 분석에 적합함을 알 수 있었고 정밀성과 정확성은 농도를 아는 시료에 인위적으로 저농도, 중농도, 고농도의 표준물질을 첨가해 계산하였다. Wogonin, quercetin, quercetin-3-O-glucuronide의 정밀성은 일간 정밀성, 일내 정밀성으로 확인했으며 세 가지 성분들의 일간 정밀성은 각각 0.76~1.24%, 0.90~1.40%, 0.74~1.87% 수준으로 확인되었고, 일내 정밀성은 0.12~1.06%, 0.28~1.12%, 0.52~0.92%로 5% 이하의 우수한 정밀성을 보였다. 정확성의 측정 결과 wogonin, quercetin 및 quercetin-3-O-glucuronide의 일간 정확성은 99.99~107.97%, 99.96~115.88%, 99.73~111.91%를 나타냈고 일내 정확성은 100.36~108.88%, 99.77~114.81%, 99.91~112.44%로 우수한 수준의 정확성을 보였다. Wogonin, quercetin 및 quercetin-3-O-glucuronide의 검출한계는 각각 0.16 μg/mL, 0.09 μg/mL, 0.15 μg/mL로 측정됐으며 정량한계는 각각 0.48 μg/mL, 0.26 μg/mL, 0.45 μg/mL로 나타나 저농도에서도 검출이 가능함을 확인할 수 있었다. 분석법 검증결과, 확립된 분석법은 특이성, 직선성, 정밀성, 정확성, 검출한계 및 정량한계가 모두 우수한 분석법임이 검증됐으며, 검증된 분석법을 이용해 연잎, 상엽, 건조 무 혼합 추출물의 wogonin, quercein, quercetin-3-O-glucuronide의 함량을 분석한 결과 wogonin과 quercetin은 검출이 되지 않았지만 quercetin-3-O-glucuronide는 함량을 가지고 있는 것으로 확인됐다. 본 연구 결과 에탄올로 추출한 11번(EM11) 샘플에서 quercetin-3-O-glucuronide의 함량이 가장 높게 나왔으며 열수와 에탄올로 추출한 샘플들이 함유하고 있는 quercetin-3-Oglucuronide의 함량은 불검출~50.95 mg/dry weight g 수준으로 함유되어 있는 결과를 보였다.

This study was to investigate the optimal condition of mixture ratio for development of functional food ingredient from Sarcodon aspratus and rice bran. First, oBrix was measured along with extraction time. Five kinds of mixtures of Sarcodon aspratus and rice bran (10:0, 7:3, 5:5, 3:7, 0:10) were extracted in 95oC water over a one-hour period and the extraction yield was evaluated. We further evaluated β-glucan content, DPPH radical scavenging activity, ferric ion reducing antioxidant power (FRAP), total phenolic content and total flavonoids content. As a result, both Sarcodon aspratus and rice bran showed a constant oBrix after 45 minutes of extraction time. The content of β-glucan was highest in the Sarcodon aspratus and rice bran mixture with a ratio of 3:7. As the ratio of rice bran increased in all mixtures, the antioxidant capacity also increased. In conclusion, to create a functional food ingredient the optimal mixing ratio of Sarcodon aspratus to rice bran is 3:7.

본 연구는 예부터 약용으로 사용되었거나, 현재 식품공 전에 식품원료로 사용이 가능한 것으로 등록된 국내 산림 지역에 자생하는 식물을 식품산업에 활용하고자 선행연구에서 우수한 항산화 활성을 보인 갈참나무 잎을 본 연구 에서 사용하였다. 70% 에탄올을 이용하여 추출한 갈참나무 잎을 이용하여, hydrogen peroxide로 산화적 스트레스를 유도한 피부 섬유아세포에서의 세포 보호효과, 세포내 항산화 효과 및 항노화 효과를 측정하였다. 세포 독성을 평가한 결과 25, 50 및 100 μg/mL의 갈참나무 잎 추출물을 처리하였을 때 모두 독성을 나타내지 않았으며, hydrogen peroxide로 산화적 스트레스를 유도한 상태에서는 세포를 보호하여 농도 유의적으로 세포생존율이 증가하였다. 특히, 100 μg/mL의 농도에서는 양성대조군으로 사용한 50 μM ascorbic acid 수준까지 세포 생존율이 증가하였다. 세포내 항산화 효과를 확인 하기위해 사용한 H2-DCFDA assay에서는 형광현미경과 형광흡광도 측정에서 모두 농도 유의적으로 세포내 ROS 저감 활성을 확인하였고 갈참나무 잎 추출물을 100 μg/mL 농도로 처리했을 때는 50 μM ascorbic acid와 비슷한 세포내 항산화 효과를 나타내었다. 또한 SA- β-galactosidase assay를 이용한 갈참나무 잎 추출물의 피부 섬유아세포에 대한 항노화활성은 ROS 생성 억제 효과 와 유사한 경향으로 갈참나무 잎 추출물의 농도 유의적으로 세포 노화 억제효과를 확인하였다. 이상의 결과를 종 합하여 볼 때 갈참나무 잎 추출물이 hydrogen peroxide로 인한 산화적 스트레스 상태에서 세포 보호효과, 항산화 효 과 및 항노화 효과가 관찰되어 기능성 식품원료로서의 활용도가 매우 넓을 것으로 판단된다.

PURPOSES : The study aims to predict the service life of national highway asphalt pavements through deep learning methods by using maintenance history data of the National Highway Pavement Management System. METHODS: For the configuration of a deep learning network, this study used Tensorflow 1.5, an open source program which has excellent usability among deep learning frameworks. For the analysis, nine variables of cumulative annual average daily traffic, cumulative equivalent single axle loads, maintenance layer, surface, base, subbase, anti-frost layer, structural number of pavement, and region were selected as input data, while service life was chosen to construct the input layer and output layers as output data. Additionally, for scenario analysis, in this study, a model was formed with four different numbers of 1, 2, 4, and 8 hidden layers and a simulation analysis was performed according to the applicability of the over fitting resolution algorithm. RESULTS: The results of the analysis have shown that regardless of the number of hidden layers, when an over fitting resolution algorithm, such as dropout, is applied, the prediction capability is improved as the coefficient of determination (R2) of the test data increases. Furthermore, the result of the sensitivity analysis of the applicability of region variables demonstrates that estimating service life requires sufficient consideration of regional characteristics as R2 had a maximum of between 0.73 and 0.84, when regional variables where taken into consideration. CONCLUSIONS : As a result, this study proposes that it is possible to precisely predict the service life of national highway pavement sections with the consideration of traffic, pavement thickness, and regional factors and concludes that the use of the prediction of service life is fundamental data in decision making within pavement management systems.

PURPOSES: This study examines the performance changes of road networks according to the strength of a disaster, and proposes a method for estimating the quantitative resilience according to the road-network performance changes and damage scale. This study also selected highinfluence road sections, according to disasters targeting the road network, and aimed to analyze their hazard resilience from the network aspect through a scenario analysis of the damage recovery after a disaster occurred. METHODS: The analysis was conducted targeting Sejong City in South Korea. The disaster situation was set up using the TransCAD and VISSIM traffic-simulation software. First, the study analyzed how road-network damage changed the user’s travel pattern and travel time, and how it affected the complete network. Secondly, the functional aspects of the road networks were analyzed using quantitative resilience. Finally, based on the road-network performance change and resilience, priority-management road sections were selected. RESULTS: According to the analysis results, when a road section has relatively low connectivity and low traffic, its effect on the complete network is insignificant. Moreover, certain road sections with relatively high importance can suffer a performance loss from major damage, for e.g., sections where bridges, tunnels, or underground roads are located, roads where no bypasses exist or they exist far from the concerned road, including entrances and exits to suburban areas. Relatively important roads have the potential to significantly degrade the network performance when a disaster occurs. Because of the high risk of delays or isolation, they may lead to secondary damage. Thus, it is necessary to manage the roads to maintain their performance. CONCLUSIONS : As a baseline study to establish measures for traffic prevention, this study considered the performance of a road network, selected high-influence road sections within the road network, and analyzed the quantitative resilience of the road network according to scenarios. The road users’passage-pattern changes were analyzed through simulation analysis using the User Equilibrium model. Based on the analysis results, the resilience in each scenario was examined and compared. Sections where a road’s performance loss had a significant influence on the network were targeted. The study results were judged to become basic research data for establishing response plans to restore the original functions and performance of the destroyed and damage road networks, and for selecting maintenance priorities.