아스팔트 혼합물은 덤프트럭으로 운반․대기 중 단기노화(short-term aging: STA) 되므로 모든 현장혼합물은 STA후 포설된다. 따라서 실험실에서 현장에 포장된 아스팔트 혼합물의 각종 특성을 추정하려면 같은 재료로 반드시 STA 처리 후 공시체를 제조해야한다. 이것이 실험실 혼합물을 STA 처리하는 근본적인 이유이며, 실험실 STA 방법은 현장상태를 최대한 근사하게 모사(simulation) 토록 규정되어져야 한다. 그러나 국내는 물론 외국 기준도 이러한 근본적인 원리를 제대로 준수 하지 못하고 있어 기준에 제시된 대로 STA를 수행해서는 현장에 포장된 아스팔트 혼합물의 특성을 추정할 수 없다. 이를 해결하기 위한 한 가지 방법의 한 방법은 노화량(aging quantity: AQ) 모델링을 통하여 혼합물의 노화도를 추정하는 것이다. 밀입도 혼합물의 AQ 모델은 기존의 연구에 의하여 지수함수 식으로    와 같이 제시되었다. 하지만 SMA 혼합물은 바인더 함량이 높고 섬유제 등이 사용되어 밀입도와 다르므로 본 연구에서는 SMA에 대한 AQ 모델식을 개발하고 이로부터 단기노화 온도와 시간에 따른 노화도를 추정하는 연구를 수행하였다. 그러므로 본 연구의 목적은 SMA 혼합물의 단기노화도를 추정하기 위하여 기 개발된 AQ 모델을 SMA 혼합물에 적용하여 필요한 보정을 통해 SMA 혼합물의 AQ 모델로 노화도를 추정하는 방안을 제시하는 것이다. 노화도는 아스팔트 노화의 척도로는 가장 많이 쓰이는 절대점도(absolute viscosity: AV)를 이용하였으며 SMA 혼합물을 대상으로 하여 SMA 노화도 정립에 필요한 기초자료를 제시코자 한다.

Rockfish was a commercially important fish specie in marine ranching areas in Korea. To estimate density and biomass of rockfish using acoustic method, target strength (TS) information is required on the species. This study measured TS dependence on tilt angle and size on 14 live rockfish individuals at 38, 70, and, 120 kHz by ex-situ measurement (tethered method) and acoustic scattering model (Krichhoff ray mode, KRM). The swimbladdered angle ranged from 18 to 30˚ (mean ± s.d. = 26 ± 4˚ ). The mean TS for all individuals was highest -35.9 dB of tilt angle -17˚ at 38 kHz, -35.4 dB of tilt angle -25˚ at 70 kHz, and -34.9 dB of tilt angle -22˚ at 120 kHz. The ex-situ TS-total length (TL, cm) relationships were TS38kHz = 20log10(TL) - 67.1, TS70kHz = 20log10(TL) - 68.6, and TS120kHz = 20log10(TL) - 69.9, respectively. The model TS-total length (TL, cm) relationships were TS38kHz = 20log10(TL) - 66.4, TS70kHz = 20log10(TL) - 67.0, TS120kHz = 20log10(TL) - 67.0. The two measurements between the ex-situ TS and KRM model for TS-tilt angle and fish size were found to be significantly correlated.

Greenhouse gas emission from agricultural land is recognized as an important factor influencing climatic change. In this study, the national CO2 emission was estimated for paddy soils, using soil GHG emission model (DNDC) with 1 km2 scale. To evaluate the applicability of the model in Korea, verification was carried out based on field measurement data using a closed chamber. The total national CO2 emission in 2015 was estimated at 5,314 kt CO2-eq, with the emission per unit area ranging from 2.2~10.0 t CO2-eq ha-1. Geographically, the emission of Jeju province was particularly high, and the emission from the southern region was generally high. The result of the model verification analysis with the field data collected in this study (n=16) indicates that the relation between the field measurement and the model prediction was statistically similar (RMSE=22.2, ME=0.28, and r2=0.53). More field measurements under various climate conditions, and subsequent model verification with extended data sets, are further required.

To estimate pollution sources in the watershed with various industries, the simulation of contamination route and distribution of 2-methyl-4,6-dinitriophenol(DNOC) were performed with a numerical model Hydro Geo Sphere. This study was performed calculations of the load using the measured concentration and simulated flow rate. And, the river was divided by the sampling sites at the mainstream, and the contribution rate at downstream sampling sites was calculated for each section. The results showed the concentration of the downstream sampling sites were decided by the concentration of upstream sites, and the contribution rates of the tributaries were calculated below 10%. The results also showed that the impact of the potential sources in Section 1(Geumho1 ~ Geumho2) and Section 5(Geumho5 ~ Geumho6) was larger than in the other area. In Section1 and Section5, It seemed to require detailed investigation.

Recently, remote sensing technology as a nondestructive method has been utilized to detectthe quantity and quality of crops using unmanned aerial system. To predict vegetation growth(leaf dry mass and nitrogen content) of soybean, two vegetation index(NDVI and Green NDVI)were calculated from images acquired by multi-spectral camera mounted on a UAV and eachprediction models between vegetation growth and index were evaluated. As a result, there wasno significant difference between vegetation growth and index when each vegetation stage foreach yellow and black bean were compared to each other. However, there was significantdifference between vegetation growth and index when all vegetation stage for each yellow andblack bean were compared to each other. Moreover, there was significant difference betweenvegetation growth and NDVI(r= 0.799 for leaf dry mass, r= 0.796 for nitrogen content), andGreen NDVI(r= 0.860 for leaf dry mass, r= 0.845 for nitrogen content) for all vegetation stageswith all soybeans. The accuracy and precision of Green NDVI model(R2= 0.740 for leaf drymass, R2= 0.714 for nitrogen content) were better than those of NDVI model regardless ofvarieties and vegetation growth. Therefore, Green NDVI has considerable potential to detect thequantity and quality of soybeans.

본 연구에서는 신갈나무와 졸참나무 임분의 입지환경인자 및 기후인자 자료를 활용하여 출현확률을 평가하였으며, 자료 분석은 Binary logit model을 이용하였다. 추정 결과, 신갈나무는 해발이 높고, 산복이나 산정의 지형에서 확률이 높게 나타난 반면 졸참나무는 대체로 해발고가 높지 않으며, 평탄지와 완구릉지에 비하여 산록과 산복의 지형에서 확률이 증가되는 경향이 나타났다. 그 외 적색산림토양군의 토성을 가지는 지형과 점토군이 아닌 미사군과 모래군으로 갈수록 출현확률이 높아지는 공통적인 특성이 나타났다. 본 연구의 결과는 장기적인 산림경영 측면에서 조림수종 선정에 유용하게 활용 될 수 있을 것으로 사료된다.

The objective of this study was to construct a forage rye (FR) dry matter yield (DMY) estimation model based on climate data by locations in South Korea. The data set (n = 549) during 29 years were used. Six optimal climatic variables were selected through stepwise multiple regression analysis with DMY as the response variable. Subsequently, via general linear model, the final model including the six climatic variables and cultivated locations as dummy variables was constructed as follows: DMY = 104.166SGD + 1.454AAT + 147.863MTJ + 59.183PAT150 4.693SRF + 45.106SRD 5230.001 + Location, where SGD was spring growing days, AAT was autumnal accumulated temperature, MTJ was mean temperature in January, PAT150 was period to accumulated temperature 150, SRF was spring rainfall, and SRD was spring rainfall days. The model constructed in this research could explain 24.4 % of the variations in DMY of FR. The homoscedasticity and the assumption that the mean of the residuals were equal to zero was satisfied. The goodness-of-fit of the model was proper based on most scatters of the predicted DMY values fell within the 95% confidence interval.

본 연구에서는 BES 기법을 활용하여 온실을 대상으로 실시간 에너지교환 시뮬레이션 모델 개발 및 검증을 수행하고 냉·난방부하 산정 및 경향성을 분석하였다. 우선 BES 기법과 현장실험을 기반으로 온실의 실시간 에너지 교환 모델을 개발하였다. 광흡수율, 엽면적지수, 잎 특성 길이 등 대상작물인 애플망고의 특성 값들과 온실 내부 이산화탄소 농도, 광량, 온도 등 실시간 입력 자료를 고려하여 작물 및 토양의 에너지교환을 구현하였다. 모델의 검증은 온실 내부 기온으로 수행하였으며 실측 내부 기온과 연산된 내부 기온 간의 결정계수, 일치도로 평가 하였다. 내부 기온 비교는 결정계수 0.89, 일치도 0.93으로 높은 유사성을 확인하였으며 모델의 유의성을 판단하였다. 개발한 모델과 2005년부터 2014년까지의 기상자료, 대상작물의 생육단계별 적정생육온도를 이용하여 대상온실의 냉·난방부하 산정하였다. 연도별 냉·난방부하산정 및 경향성을 파악하였으며 최대 냉·난방부하 산정을 통하여 대상온실의 냉·난방장치 용량설계의 기초자료를 확보하였다. 최근 10년 치 기상자료를 통하여 평균 최대 난방부하 525,473 kJ·hr-1, 평균 최대냉방부하 630,870 kJ·hr-1가 산정되었으며 대상 온실에 지열, 온배수, 태양열 등 신재생에너지를 활용할 경우 유용하게 활용될 것으로 판단된다. 본 연구를 통하여 온실 내 각 구성요소 간의 실시간 에너지교환을 모의할 수 있었으며 추후 온배수 활용을 위한 저류조, 히트펌프, 축열조 등의 설비를 구현함에 따라 전반적인 냉·난방 시스템의 구현 가능성을 확인하였다. 또한 동적 해석방법을 통하여 재배작물, 생육단계 및 토양을 고려하였으며 온실 에너지교환 모델에 다양한 형태로 적용 가능할 것으로 판단된다.

Suhyup Bank became to be subject to regulation of capital ratio by BaselⅢ which was introduced in order to enhance stability of the financial institution. Accordingly, Suhyup Bank will require recapitalization. It is important to estimate the risk-weighted assets in calculating of Suhyup Bank’s recapitalization scale. Therefor, this study aimed to present a scientific model as estimated the risk-weighted assets. Risk-weighted assets are calculated by applying different risk weights for loans, may have a certain relationship with the loans. Results show that the risk-weighted assets is affected by the previous year’s riskweighted assets and influenced the increase in loans during the year. Since the required basic capital adequacy ratio was specified, the risk-weighted assets should be predicted reasonably. Accordingly, on this study it was tried to derive the accounting equation to predict the risk-weighted assets based on management data of a bank since introduction of BaselⅢ. As the risk-weighted assets were weighted differently according to the type of loans, if the accounting equation is derived by using the type of loans, then it would be helpful for the risk management of banks in the long-term. According to this, the increase of loan would be predicted on the basis of past management performance of Suhyup Bank, and for this reason, the future risk-weighted assets of Suhyup Bank were predicted. The result of this study was showed that 98.3% of risk-weighted assets of the previous year, 62.4% of the secured loan changes and 95.1% of the credit loan changes affected risk-weighted assets.

PURPOSES : The aim of this study was to compare the performance of the QUEENSOD method and the gravity model in estimating Origin-Destination (O/D) tables for a large-sized microscopic traffic simulation network. METHODS : In this study, an expressway network was simulated using the microscopic traffic simulation model, VISSIM. The gravity model and QUEENSOD method were used to estimate the O/D pairs between internal and between external zones. RESULTS: After obtaining estimations of the O/D table by using both the gravity model and the QUEENSOD method, the value of the root mean square error (RMSE) for O/D pairs between internal zones were compared. For the gravity model and the QUEENSOD method, the RMSE obtained were 386.0 and 241.2, respectively. The O/D tables estimated using both methods were then entered into the VISSIM networks and calibrated with measured travel time. The resulting estimated travel times were then compared. For the gravity model and the QUEENSOD method, the estimated travel times showed 1.16% and 0.45% deviation from the surveyed travel time, respectively. CONCLUSIONS : In building a large-sized microscopic traffic simulation network, an O/D matrix is essential in order to produce reliable analysis results. When link counts from diverse ITS facilities are available, the QUEENSOD method outperforms the gravity model.

Owing to time and cost constraints, new methods that would make it possible to evaluate the safety of the water supply pipeline in a less time- and cost-consuming manner are urgently needed. In response to this exigency, the present study developed a new statistical model to assess the safety of the water supply pipeline using the quantification theory type Ⅱ. In this research, the safety of the water supply pipeline was defined as ‘a possibility of the pipeline failure’. Quantification analysis was conducted on the qualitative data, such as pipe material, coating, and buried condition. The results of analyses demonstrate that the hit ratio of the quantification function amounted to 77.8% of hit ratio, which was a fair value. In addition, all variables that were included in the quantification function were logically valid and demonstrated statistically significant. According to the results derived from the application of the safety evaluation model, the coefficient of determination (R2) between K-region’s water supply pipeline safety and the safety inspection amounted to 0.80. Therefore, these findings provide meaningful insight for the measured values in real applications of the model. The results of the present study can also be meaningfully used in further research on safety evaluation of pipelines, establishing of renewal prioritization, as well as asset management planning of the water supply infrastructure.

해역에서의 체류시간은 제한된 영역을 채우는 수체나 오염물질이 잔류하는 시간을 의미하며, 서로 다른 수체간의 물리적 특성을 비교하는 데 사용되고 있다. 거제만으로 유입되는 육상기원 또는 양식기원 입자물질의 잔류시간을 알아보기 위해 입자추적모델이 포함된 EFDC를 이용하여 입자물질 체류시간을 계산하였다. 계산된 입자물질의 체류시간은 내만에서 약 65일이었는데, 이 결과는 거제만 내측으로 유입되는 입자물질이 외해에 도달하기까지 약 2달 이상의 시간이 소요됨을 의미한다. 이 체류시간은 거제만 전역에 걸쳐 조석의 흐름에 따라 다르게 나타났으며, 해역에 유입된 입자물질의 거동이 해역의 물리적 특성에 의해 결정됨을 의미한다. 입자물질 체류시간의 공간적인 분포특성을 통해 거제 내만의 해수교환이 원활하지 않은 것을 알 수 있으며, 이로 인해 수질오염문제에 취약할 수 있다는 것을 알 수 있다.

Bridge construction cost estimates have generally been conducted by using historial unit-price(per meter or square meter). The traditional estimating method based on unit-price references can never completely reflect the specialty of cable supported bridge. In this paper, we have developed the system for supporting the approximate construction cost and the quantity estimation based on 3D model information in the pre-project planning phase of 3-span continuous suspension bridge with 2-pylons. First of all, we’d analyzed the design information (such as structural design report, blueprint and quantity) and the real cost data from the existing suspension bridges and derived the design variables of the bridges. We developed the BIM wizard that generates a suspension bridge model parametrically based on derived design variables. The principle material quantities of suspension bridge are calculated directly from 3-dimensional bridge model built by using the BIM wizard. We have established the system that the construction cost can be estimated more specific than the traditional estimating method.

수출용 온실 단지로 기대되는 간척지의 광환경은 해무 등에 의해 내륙과는 다른 광환경 특성을 나타낸다. 이러한 간척지에서 온실 설계 기준을 작성하기 위해서 산란 광과 직달광을 고려한 온실 내 광분포 연구가 필요하다. 본 연구에서는 간척지의 고유의 광환경 특성을 분석하고 3-D 온실 모델에 적용하여 간척지의 온실 내 공간적인 광분포를 추정하고자 하였다. 먼저 간척지의 일사량을 산란광과 직달광으로 구분하여 측정하고 내륙의 일사량과 비교하였다. 또한 간척지 지역에 설치된 온실 내의 광분포를 측정하고 이를 시뮬레이션을 통해 계산된 값과 비교함으로써 3-D 온실 모델에 대한 검증을 실시하였다. 간척지는 내륙에 비하여 전체 일사량에 대비 높은 산란광의 비율을 나타내었으며, 특히 일출 및 일몰 부근에서 크게 나타났다. 3-D 온실 모델에 의한 온실 내 예측 광 분포는 실제 간척지의 온실 내 광분포와 유사하게 나타 났다. 검증된 3-D 온실 모델을 통하여 임의의 외부 광조 건에 대하여 간척지 지역의 온실 내부의 시간적인 평균 광도의 변화와 광분포를 예측할 수 있었다. 이러한 결과는 간척지 지역의 온실 내 광환경 해석 이외에도 작물의 수광량 해석에도 유용하게 활용될 것으로 예상된다.

PURPOSES : The purpose of the study is to a) explore the operating speed of trucks on rural highways affected by road geometry, and thereby b) develop a predictive model for the operating speed of trucks on rural highways. METHODS: Considering that most of the existing studies have focused on cars, the current study aimed to predict the operating speed of trucks by conducting linear regression analysis on the speed data of trucks operating on the linear-curved-linear portions of the road as a single set. RESULTS: The operating speed in the plane curve portion increased with the length of the curve, and decreased with a lower vertical grade and a smaller curve radius. In the straight plane portion, the operating speed increased with a larger curve radius(upstream), and decreased with an increase in the change of the vertical grade, depending on the length of the vertical curve. CONCLUSIONS: This study developed estimation models of truck for operational speed and evaluated the degree of safety for horizontal and vertical alignments simultaneous. In order to represent whole area of the rural highway. the models should be ew-analyzed with vast data related with road alignment factor in the near future

Nowadays, consumption of fisheries products is increasing. There are several factors, one of which is a quantitative development through aquaculture. Another factor is an increase qualitative consumption of fish which require that fish be supplied alive. This requires a lot of technical effort to transport the live fish that have low survival rate (c.f. tuna and mackerel) in coastal waters and in the open sea. To develop a towing cage for transporting the live fish, model test in a circulate water channel and simulation by computer tool were carried out. In order to spread vertically, floats were attached at the upper part of the cage, and iron chains attached at the lower part of the cage. For horizontal spreading, kites were attached on the cage. The tension and spreading performance of the cage were measured. The result shows that the tension and reduction ratio of inside volume of the cage were tended to increase with increased towing speeds. The suitable operation condition in towing cage was 1.0 m/s towing speeds with vertical spreading force 8.7 kN, horizontal spreading force 5.6 kN; in this case the reduction ratio of inside volume of the cage was estimated as 25%.