The pressure sensor had been widely used to effectively monitor the flow status of the water distribution system for ensuring the reliable water supply to urban residents for providing the prompt response to potential issues such as burst and leakage. This study aims to present a method for evaluating the performance of pressure sensors in an existing water distribution system using transient data from a field pipeline system. The water distribution system in Y District, D Metropolitan City, was selected for this research. The pressure data was collected using low-accuracy pressure sensors, capturing two types of data: daily data with 1Hz and high-frequency recording data (200 Hz) according to specific transient events. The analysis of these data was grounded in the information theory, introducing entropy as a measure of the information content within the signal. This method makes it possible to evaluate the performance of pressure sensors, including identifying the most sensitive point from daily data and determining the possible errors in data collected from designated pressure sensors.

서울시와 같은 도심지의 경우 상수도관, 하수관, 가스관, 통신․전기선과 같은 인프라 시설물을 도로포장 하부에 매설하고 있다. 그 러나 도로 지하에 각종 시설물을 매설하거나 유지보수 등으로 인해 노면을 굴착할 경우, 포장체 구성에 불연속면을 생성하여 이에 대 한 복구가 적절하지 않았을 경우 지반침하, 포장 노면 균열, 평탄성 불량 등의 발생으로 도로 이용자의 승차감 저하 및 노면배수 불량 으로 인한 차량 주행의 안전성 저하, 보도의 경우 통행인의 불편 초래 및 안전사고를 유발할 수 있다. 그러나 현재 서울시의 도로굴착복구 공사는 도로 이용자의 편의를 위해 당일 굴착·당일 복구를 원칙으로 하고 있으며, 이를 위해 주 간 공사 및 장시간 교통통제를 지양하고 있어, 하루 중 야간 8시간 정도로 공사 시간이 부족하고 수많은 공사가 산발적으로 시행됨에 따라 관리 감독이 어려워 시공 품질관리가 미흡하며, 특히 지하 매설물 공사 이후 포장층 하부의 되메우기 공정은 다짐 작업이 제대 로 이루어지지 않는다. 일반적으로 서울시 도로굴착복구 공사는 공사 당일 임시포장을 시행하고, 일정 기간 경과 후 차로 단위로 항구 포장 복구를 시행하고 있으며, 이로 인한 도로 평탄성 불량으로 소음․진동 발생 및 포장 조기 파손의 원인으로 작용하고 있다. 특히 되메우기 공정의 경우, 현행 시방서에 따르면 신속한 되메움 복구 및 관로 주변의 조밀한 충진을 목적으로 관로 주변을 양질의 모래로 시공하는 것을 원칙으로 하고 있으나, 기존 되메움 재료인 모래는 결속력이 약해 인접 구간 공사 시 세굴로 인한 사고 발생 위험 요소를 내재하고 있으며, 누수에 의한 세굴 발생시 편토압 등으로 인해 주변 지반의 침하 등 2차 파손을 발생시킬 수 있다.

일반 가열 아스팔트 혼합물 생산 시 높은 온도로 이산화탄소 및 대기오염물질이 발생함으로써, 유럽 및 선진국들은 탄소배출 저감 이 가능한 중온 아스팔트(warm mix asphalt, WMA)를 사용하는 추세이다. 아스팔트 콘크리트의 생산온도를 낮출수록 이산화탄소 발생 량과 연료 소비량을 저감시킬 수 있어 중온 아스팔트 콘크리트에 대한 수요성은 증가하고 있으나 국내외로 중온 아스팔트 콘크리트의 생산온도는 120℃의 한계성을 극복하지 못하고 있는 실정으로 120℃ 이하의 생산기술을 확보하기 위해서는 기능성 개질재 제조기술 개발이 필요하다. 본 연구에서는 110±10℃의 생산온도에서 저온화 고분자형 개질재를 첨가하여 폴리머 개질 저온 아스팔트(Polymer Cool Mix Asphalt, PCMA)를 생산하였으며, PCMA 혼합물의 마샬안정도, 공극률, 동적안정도 및 인장강도비 등을 시험 평가하여 10년 이상의 공용 내구연한 확보를 확인하였다. 또한, 일반 가열 아스팔트 혼합물, 타사 중온화 첨가제를 적용한 아스팔트 혼합물 및 PCMA 혼합물의 비교평가를 실시하였으며 PCMA 혼합물의 피로균열지수(Cracking Tolerance Index) 및 노화계수(Aging Coefficient)가 비교적 매우 우수한 것으로 나타났다. 2024년 8월, 베트남 바리어붕따우성에서 PCMA 혼합물 생산 및 시공을 실시한 결과, 목표 생산온도인 110±10℃의 조건을 확보하였으며, 현장 포설시에도 특이사항 없이 시공이 완료되었다.

최근 결빙으로 인한 교통사고가 빈번히 발생하고 있으며, 도로순찰시 육안 인식이 어려운 도로살얼음 검지를 위해 다양한 방식의 검지센서가 도입되고 있다. 본 연구에서는 국내외 상용화되어 있는 차량부착식 노면상태 검지센서에 대한 현장 검증을 통해 국내 도 로조건에의 적용 가능성을 검토하였다. 차량부착식 검지센서의 성능을 평가하기 위해 한국건설기술연구원의 연천SOC실증연구센터 내 의 도로기상재현 실험시설에 결빙(Ice), 습윤(Wet), 건조(Dry) 등 3가지의 노면상태가 육안으로 명확히 구분이 가능하도록 도로환경을 구현하였으며, 센서종류별로 차량에 부착하여 다양한 도로상태를 측정하였다. 평가결과 노면상태 측정결과의 정확도는 높은 것으로 나 타났으나, 그 외의 측정항목의 정확도는 상당한 차이가 발생하기도 하였다. 향후 다양한 도로환경 조건에서 추가적인 시험을 통해 차 량부착식 노면상태 검지센서의 현장적용을 기반자료로 활용할 수 있을 것으로 판단된다.

국내 도로 연장은 2023년 기준 115,878km로 매년 증가하는 추세를 보이고 있다. 이중 준공 30년 이상된 노후도로의 비율은 51.5%에 해당하고 있어 도로 유지관리의 중요성이 대두되는 실정이다. 본 연구에서는 아스팔트 예방적 유지보수공법인 포그씰(Fog Seal)을 실 제 공용중에 있는 도로에 적용하여 공용성 변화를 분석하였다. 공용성능 분석을 위해 차량의 휠패스 부분에서 공법당 6개의 코어를 3 차년간 채취하여 공극률 및 바인더 함량 값을 비교하였다. 분석 방법으로는 포그씰 공법을 시공하지 않은 구간을 대조군으로 선정하 여 추적조사 기간에 따른 변화 추이를 분석하였다. 분석 결과, 공극률은 포그씰 시공 이후 지속적인 감소를 보였다. 바인더 함량의 경 우 공용연수가 증가할수록 바인더 함량 또한 점차 증가하는 것으로 확인되었다. 이는 공용연수가 증가함에 따라 차량의 주행으로 인 해 표면에 도포된 포그씰이 점차 도로 표면 및 균열 속으로 스며들어 내부의 공극이 채워지는 것으로 판단된다.

This paper evaluates the use of Factor Analysis (FA) in English education research in Korea and suggests improvements in methodology. A detailed coding protocol was used to review 179 FA cases from 12 major English education journals (2014-2023). The review identified several key issues, including small sample sizes and lenient criteria for sample size selection, insufficient reporting on data appropriateness and normality, confusion between principal component analysis and FA, overreliance on the Eigenvalue > 1 criterion for determining the number of factors, inappropriate factor rotation methods, inconsistency between factor rotation and extraction methods, inadequate reporting on factor loadings and cross loadings criteria, and excessive reliance on SPSS as a statistical tool for FA. This study provides specific guidelines for applying FA appropriately and reporting results accurately.

Particulate matter is known to have adverse effects on health, making it crucial to accurately gauge its concentration levels. While the recent advent of low-cost air sensors has enabled real-time measurement of particulate matter, discrepancies in concentrations can arise depending on the sensor used, the measuring environment, and the manufacturer. In light of this, we aimed to propose a method to calibrate measurements between low-cost air sensor devices. In our study, we introduced decision tree techniques, commonly used in machine learning for classification and regression problems, to categorize particulate matter concentration intervals. For each interval, both univariate and multivariate multiple linear regression analyses were conducted to derive calibration equations. The concentrations of PM10 and PM2.5 measured indoors and outdoors with two types of LCS equipment and the GRIMM 11-A device were compared and analyzed, confirming the necessity for distinguishing between indoor and outdoor spaces and categorizing concentration intervals. Furthermore, the decision tree calibration method showed greater accuracy than traditional methods. On the other hand, during univariate regression analysis, the proportion exceeding a PM2.5/PM10 ratio of 1 was significantly high. However, using multivariate regression analysis, the exceedance rate decreased to 79.1% for IAQ-C7 and 89.3% for PMM-130, demonstrating that calibration through multivariate regression analysis considering both PM10 and PM2.5 is more effective. The results of this study are expected to contribute to the accurate calibration of particulate matter measurements and have showcased the potential for scientifically and rationally calibrating data using machine learning.

PURPOSES : The purpose of this study is to provide basic data to improve the service life of asphalt pavement using basalt aggregate in Jeju Island by evaluating the performance of asphalt pavement through analysis of material and structural aspects. METHODS : To evaluate the performance of Jeju Island's asphalt pavement, cracks, permanent deformation, and longitudinal roughness were analyzed for the Aejo-ro road, which has high traffic and frequent premature damage. Cores were collected from Aejo-ro sections in good condition and damaged condition, and the physical properties of each layer were compared and analyzed. In addition, plate cores were collected from two sections with severe damage and the cause of pavement damage was analyzed in detail. RESULTS : About 45% of the collected cores suffered damage such as layer separation and damage to the lower layer. The asphalt content of surface layer in the damaged section was found to be 1.1% lower on average than that in the good condition section, and the mix gradations generally satisfied the standards. The density difference between the cores of each layer was found to be quite large, and the air voids was found to be at a high level. CONCLUSIONS : Test results on the cores showed that, considering the high absorption ratio of basalt aggregate, the asphalt content was generally low, and the high air voids of the pavement was believed to have had a significant impact on damage. High air voids in asphalt pavement can be caused by poor mixture itself, poor construction management, or a combination of the two factors. Additionally, the separation of each layer is believed to be the cause of premature failure of asphalt pavement.

With the advancement of industrialization, modern industry had sophisticated technology, and manufacturers also demanded high-precision measurement accuracy. Improving the quality level by increasing the reliability of measurement results as well as accurate measurement is a key issue to increase the competitiveness of today's manufacturing industry. In general, measurement results depend on tolerances in the industrial field, and it may be difficult to guarantee the reliability of the data in the case of an industry that deals with precision parts. Currently, measurement uncertainty is mainly applied to the calibration and test fields of instruments. This study is aim to apply measurement uncertainty as a way to improve the accurate analysis and reliability of measurement results in the industrial field. For this, precision parts connected by shaft and hole were selected among geometric elements, and roundness and cylindricity were measured using a roundness measuring instrument and CMM. And, taking into account the environment in which these measurements were made, factors affecting the measurement results were derived, and a mathematical model was established to calculate the measurement uncertainty. Applying uncertainty in the field in this way is expected to improve the level of quality and accurate analysis of measurement results.

Intercropping cereals with legumes is known to improve forage production and crude protein yield. Sorghum × sudangrass hybrids (SSH) have excellent dry matter content and high cultivation temperatures. In this study, we investigated the growth characteristics, forage productivity, and feed value of intercropping SSH with different legumes in rice paddy fields. We used five treatments in this study SSH monocropping and four intercropping treatments of SSH with, lablab, cowpea, sesbania, and two cultivars of soybean (Chookdu 1 and 2). SSH plant height was not significantly different between the monocropping and intercropping treatments. However, the plant heights of lablab, cowpea, and sesbania were significantly higher than those of the two soybean cultivars. The total dry matter yield (kg/ha) was significantly higher in SSH monocropping than in intercropping; among the intercropping treatments, the one with SSH and Chookdu 2 yielded the highest total dry matter yield. The SSH feed value was significantly different between the monocropping and intercropping treatments, although there were no differences between the intercropping treatments. Among the intercropped legumes, lablab showed the highest neutral detergent fiber and acid detergent fiber contents, and cowpea had the highest crude protein content. These results reveal that intercropping SSH with legumes in paddy fields could be a promising cultivation technique to maintain stable forage productivity.

This study was carried out to evaluate the forage yield and feed value of winter crops such as Italian ryegrass (IRG), oat, rye, barley, and hairy vetch. Forage crops were sown on 15 th October 2018 in a paddy field after harvesting rice and forage crops were harvested at two times of 25 th April 2019 and 18 th May 2 01 9. T he h ighest d ry m atter (DM) y ield w as h arvested f rom r ye among t he five species of forage crop on 18 th May. DM yield of all forages was increased 14.4% on 18 th May compared to 25 th April. The highest yield of crude protein (CP) was obtained from hairy vetch on 25 th April, whereas it was decreased (38.1%) on 18 th May. Moreover, the highest total digestible nutrient (TDN) yield and relative feed value (RFV) was harvested respectively from rye and hairy vetch on 25 th April. Delay of harvest time considerably increased DM yield but significantly decreased CP and RFV. In conclusion, rye was the best source of DM and TDN and hairy vetch was the high-quality feed. Rye harvested on 25 th April is the proper forage for resolving Korea’s problem of insufficient forage yield.

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.

In this study, actual odor conditions were investigated in restaurants, livestock facilities, and major odor discharge facilities around daily life, and an odor modeling program was performed to find ways to improve odors in odor discharge facilities. The odor modeling results of restaurants around daily life showed that the complex odor concentration of large restaurants, which are close to residential areas, is higher than the acceptable complex odor standard at the receiving point. It was judged that a plan to increase the height of the restaurant odor outlets and a plan to reduce the amount of odor discharge was necessary. As a result of modeling the life odor of livestock housing facilities, when the distance from the housing facility is far away, the actual emission concentration is much lower than the acceptable emission concentration at the receiving point. It was judged that such facilities need to be reviewed for ways to reduce the emission of odorous substances, such as sealing the livestock housing facilities or improving the livestock environment. The main odor emission business sites that show complex odor concentration as 1,000 times or greater than the outlet odor emission standard were businesses associated with surfactant preparation, compounded feed manufacturing, textile dyeing processing, and waste disposal. Due to the separation distance and high exhaust gas flow rate, it was found that odor reduction measures are necessary. In this study, it was possible to present the allowable odor emission concentration at the discharge facilities such as restaurants, livestock houses, and industrial emission facilities by performing the process of verifying the discharge concentration of the actual discharge facility and the result of living odor modeling. It is believed that suitable odor management and prevention facilities can be operated.