국토교통부는 2020년 '결빙 취약구간 평가 세부 배점표’에 따라, 전국의 고속국도와 일반국도를 대상으로 410개 구간의 결빙 취약구 간을 선정하였다. 그러나, 2021년 감사원의 결빙 취약구간 지정 적정성 감사 결과에서 감사원은 현재 지정ㆍ관리 중인 결빙 취약구간 및 결빙 취약구간 평가 세부 배점표의 적정성에 문제를 제기하였다. 이에, 국토교통부는 결빙 취약구간을 재지정하여 발표하였으나 그 에 대한 평가 및 지정 적정성 검증이 아직 이루어지지 않았다. 본 연구에서는 결빙 취약구간과 결빙사고 데이터의 위치정보를 수집하여 GIS(Geographic Information System) 데이터로 구축하고 맵핑(Mapping)하여 결빙 취약구간 내 결빙사고이력을 확인함으로서 결빙 취약구간의 결빙사고 예측성능을 평가하였다. 또한, 각 결빙 사고 발생지점에서 도로시설, 교통, 선형구조, 환경인자 데이터를 수집하여 분석한다. 이를 통해 결빙사고와 각 인자 간의 상관성을 파 악하고, 그 결과에 따라 결빙 취약구간 평가 세부 배점표의 평가항목 및 각 항목별 배점을 수정하고 보완함으로써 결빙 취약구간의 신뢰성을 제고한다.

The sintering shrinkage behaviors of low temperature cofired ceramics (LTCC) and resistors were compared using commercial LTCC and thick-film resistor pastes, and factors influencing the camber of cofired resistor/LTCC bi-layers were also investigated. The onset of sintering shrinkage of the resistor occurred earlier than that of LTCC in all resistors, but the end of sintering shrinkage of the resistor occurred earlier or later than that of LTCC depending on the composition of the resistor. The sintering shrinkage end temperature and the sintering shrinkage temperature interval of the resistor increased as the RuO2/glass volume ratio of the resistor increased. The camber of cofired resistor/LTCC bi-layers was obtained using three different methods, all of which showed nearly identical trends. The camber of cofired resistor/LTCC bi-layers was not affected by either the difference in linear shrinkage strain after sintering between LTCC and resistors or the similarity of sintering shrinkage temperature ranges of LTCC and resistors. However, it was strongly affected by the RuO2/glass volume ratio of the resistor. The content of Ag and Pd had no effect on the sintering shrinkage end temperature or sintering shrinkage temperature interval of the resistor, or on the camber of cofired resistor/LTCC bi-layers.

PURPOSES : The purpose of this study is to statistically analyze the meteorological factors that contribute to the formation of road surface icing based on actual cases of icing accidents and provide directions for improving icing evaluation criteria. METHODS : In this study, we collected cases of domestic road icing accidents by searching news articles with the keyword ‘icing collision accidents’. Subsequently, we determined the latitude, longitude, and altitude of accident locations using satellite map service. We applied the Inverse Distance Weighting (IDW) method and temperature lapse rate to estimate meteorological data at each location. Finally, statistical analysis was conducted for temperature, humidity, and precipitation occurrence using probability density functions. RESULTS : As a result, road icing accident data points with identifiable location coordinates were collected. Among these, temperature, humidity, and precipitation occurrence from Automated Weather Stations (AWS) data were selected for analysis. During the process of correcting meteorological factors using the Inverse Distance Weighting (IDW) method, the optimal Weighting Exponent (p) that minimizes the error was determined and applied. The results showed that accidents occurring in the morning indicated the highest accident occurrence rate. The average temperature at the time of the accidents was -1.4°C, with a humidity level of 85.1%. Precipitation was observed at the time of the accident in 19 cases. CONCLUSIONS : Icing on pavement can occur not only under extreme weather conditions but also under typical meteorological conditions. Typically, icing can occur when the relative humidity is above 70%. Accordingly, for future improvements in the evaluation criteria for icing-prone areas by the Ministry of Land, Infrastructure and Transport, it is possible to incorporate the temperature and humidity ranges that generally lead to icing, taking into account climate characteristics.

Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

PURPOSES : In this study, we aim to broaden the understanding of the factors influencing the accuracy of WIM systems for overload enforcement. Particularly, we explored the proportions and causes of secondary influencing factors (driving path, vehicle class, and acceleration), which have been relatively less studied and reduced the accuracy of the WIM system. METHODS : Overload enforcement data were recorded by the WIM system, and enforcement officers were gathered. The ratios of each data point, which are the relative errors, are used to estimate the accuracy of the WIM system. These relative errors were classified into four driving-path groups, four vehicle-class groups, and three acceleration groups. The change in the accuracy of the WIM system caused by each influencing factor was analyzed by comparing the difference in the average relative error between the classified groups. Analysis of variance (ANOVA) and Welch's ANOVA were used to determine significant differences between groups. RESULTS : Vehicles departing from a normal driving path make it difficult for the GVW compensation algorithm of the WIM system to operate properly. For these abnormal paths, the standard deviation of the average GVW relative error was 22%. There was no specific trend in the difference in accuracy by vehicle class. However, we found that the rear axle and retractable axle were the main causes of the reduced GVW accuracy in each vehicle class. The average GVW relative error remained the same regardless of the acceleration, but the average FAW relative error of the accelerated vehicle was approximately 2.5% lower than that of the unaccelerated vehicle. CONCLUSIONS : An abnormal driving path, lifting of a retractable axle, and rapid acceleration (or deceleration) reduce the accuracy of WIM systems. Intelligent transportation systems, such as traffic signals, telematics devices, and applications that induce desirable driving are required for effective overload enforcement. Additionally, it is necessary to smoothen the road pavement to minimize the dynamic effects on the rear axle.

본 연구는 해양시설의 HNS 배출허용기준 체계에 적용 가능한 사회적 영향인자 평가방법 및 절차를 도출하는데 목적이 있다. 인천광역시 소재 해양시설 71개소로 대상으로 기업규모에 따라 대기업, 중견기업, 중소기업, 소기업으로 구분하였고, 신규 기술도입비용 은 5년간 분산하여 적용하는 경우로 추산하였다. 분석결과는 다음과 같다. 첫째, 산업분야 항목에서는 경영상부담정도를 나타내는 지표 중 매출액감소 1점, 영업이익률감소 평균 3.5점, 도산가능성 2.7점으로 평가되어, 평균 2.7점으로 ‘영향있다’로 평가되었다. 둘째, 지역경제 항목의 평가지표 중 주민보건비지출부담 4점, 관광수입손실액 4점, 어업생산량감소 2점 등 전체 평균 3.3점으로 ‘영향크다’로 평가되었 다. 평가결과 산업적인 면에서는 소기업, 중기업, 대기업 간에 미치는 영향편차가 큰데, 대기업은 영향이 거의 없었고, 소기업은 영향을 크게 받는 것으로 나타났다. 지역경제면에서는 주민보건비지출부담, 관광수입감소, 어업생산량감소 등이 지역경제에 미치는 영향은 두가 지로 구분하여 볼 수 있는데, 지역전체 GRDP에 미치는 영향은 매우적지만, 해당 종사자나 주민 개인에 미치는 영향은 영향이 큰 것으로 나타났다.

PURPOSES : The objective of this study is to develop regression models for surface distress (SD), rut depth (RD), and international roughness index (IRI) of Jeju Island local road by analyzing the correlations between the pavement performance and its influencing factors. METHODS : First, the differences between pavements in inland Korea and Jeju Island in terms of performance and influencing factors were investigated. Influencing factors were assigned to pavement sections on Jeju Island using the inverse distance weighting method, and the correlations between the pavement performance and influencing factors were analyzed. As a result, maximum temperature, heat wave days, annual temperature range, precipitation days, precipitation intensity, ESAL, etc. were determined as independent variables for the pavement performance prediction models. Multiple regression analysis was performed to develop the pavement performance models using the selected independent variables. RESULTS : The RD, maximum temperature, and precipitation days were determined to be the independent variables for the SD predictive model. The SD, maximum temperature, annual temperature range, heat wave days, and precipitation days were selected as independent variables of the RD prediction model. In addition, the RD, annual temperature range, heat wave days, precipitation days, and ESAL were selected as independent variables for the IRI prediction model. CONCLUSIONS : As a result of the study, an actual forecast model for SD, RD, and IRI was developed. Based on this model, it is possible to estimate the predictive value of the missing performance data in the studied interval. If the factors affecting performance are managed in terms of maintenance beyond a certain level, it can help those responsible for road maintenance to rationally select the maintenance method and timing.

This paper analyzed the correlation between injection molding factors through correlation analysis. In addition, the decision-tree model, which is a white box model with excellent explanatory power, was used to obtain optimal molding conditions that satisfy multiple constraint conditions. First, 243 data to be used in the experiment were created through a full factorial design. Second, a correlation analysis was conducted to understand the correlation. Third, to verify the decision-tree model, the prediction performance was evaluated using RMSE. As a result, good prediction performance was confirmed. A decision-tree experiment analysis was conducted. As a result of the progress, the same results as the correlation analysis were derived. Based on the previous analysis results, optimal molding conditions were applied to CAE. As a result, the amount of deformation in the multi-cavity could be improved by about 1.1% and 2.72% while satisfying the constraint.

본 연구는 우리나라에서 발생된 57개의 땅밀림지를 대상으로 땅밀림의 내부요인인 지질특성을 분석하여 땅밀림지에 영향을 미치는 지질 인자를 찾아내기 위해 실시하였다. 발생한 57개소의 땅밀림지 규모는, 평균 폭 208.2 m (52.8m ~ 1,001.3m), 평균길이 200.3 m (22.1m ~ 920.6m), 평균깊이 3.9 m (0.2m ~ 47.8m)이었다. 땅밀림지의 지질 시대는 백악기가 23개소(약 40.4%)에서 가장 많이 발생하였으며, 경상누층군에서 가장 많이 발생하고 있는 것으로 나타났다. 상관분석 결과, 땅밀림이 발생한 피해지의 폭과 길이, 길이와 깊이는 1% 수준에서 유의한 정의 상관관계를 나타내었다. 지층과 주 구성암석 그리고 누층군과 지층, 주 구성암석과는 상관분석결과 1% 수준에서 유의한 정의 상관관계를 나타내었다. 땅밀림지는 퇴적암지역이 가장 많았다. 땅밀림 발생유형은 붕적토땅밀림, 풍화암땅밀림, 점질토땅밀림, 암반땅밀림 순으로 빈도가 높은 것으로 나타났다. 따라서 땅밀림이 우려되는 지질적인 요인을 가진 지역에 대해서는 개발 등에 대한 신중한 검토와 사전 조사평가가 필요할 것으로 사료된다.

해상풍력발전기 설치선의 동적응답을 분석하기 위하여, 불규칙 파 정보를 고려한 시간영역 기반 비선형동적해석이 필요하다. 고전적인 단자유도 시스템은 가장 기본적으로 동적효과를 계산하는 방법이지만, 실제의 무게 중심 불일치, 비정규적인 파도 하중 그리고 항력의 비선형을 고려하지 못하는 제약조건들을 갖고 있다. 그리하여 불규칙 파를 고려한 다중 자유도 모델이 유사한 문제에 해답을 찾는데 폭넓게 사용되고 있다. 불규칙 시간영역 해석은 정확한 계산 결과를 제공하지만, 수렴 데이터의 수렴도가 민감하여 복잡하다. 이러한 제약점들을 극복하기 위하여 본 논문은 시간영역 해석 결과를 통하여 수정된 동적증폭계수를 개발하였으며, 기존보다 복잡성이 개선되면서 계산 시간을 획기적으로 단축하였다. 다양한 변수를 기준으로 한 시간영역 해석을 통하여 새롭게 개발된 동적증 폭계수는 단자유도 방법보다 더 높은 정도를 갖고 있으며, 예측이 가능하다.

본 연구의 목적은 모발 성장인자 관련 논문의 고찰을 통해 성장인자가 탈모에 적용되었을 때 모발의 시너지 효과를 연구하여 뷰티산업 종사자들이 전문적이고 경쟁력 있는 제품 선택의 폭을 넓힐 수 있으며 그로 인해 틈새 시장인 점판 시장의 활성화로 뷰티산업의 발전에 기여하고자 하였다. 성장 인자는 인체가 출생 시 가지고 태어나는 세포분열 활성화인자로 기능이 떨어진 세포를 자극하여 모발 성장과 모유두 세포의 세포 분열을 촉진시키며 모발 성장기를 연장시킨다. 모낭에서 발현되는 것으로 보고된 성장 인자는 섬유아세포 성장인자(bFGF, basic Fibroblast GF), 혈관내피세포 성장인자(VEGF, Vascular endothelial Growth Factor), 인슐린 유사 성장인자(IGF-1, Insulinlike Growth Factor), Noggin(모낭자극성장인자), 줄기세포증식인자 (SCF, Stem Cell Factor), 케라틴형성세포 성장인자(KGF ,keratinocyte growth factor), 간세포성장인자 (HGF, hepatocyte growth factor) 등이 있다. 이들 성장인자들은 각각 모낭과 모발의 형성을 촉진하며 모낭의 성장을 조절하고 모발의 성장기 유지에 기여하며 정상적인 성장 주기로 컨트롤 한다. IGF-1과 GH를 같이 투여하면 시너지 효과를 얻어 피부 파필라 주위의 매트릭스 세포와 결합 조직 피복(CTS)의 두께가 증가함을 알 수 있다. 프로시니아딘(포도씨 추출물)과 산사열수 추출물은 모발 성장과 모유두세포의 성장인자 유전자 발현에 유의미하다. 황칠나무 잎 추출물의 적용 시도 모유두 세포의 성장인자 유전자 발현에 유의미한 효과가 있다. 모발이 성장함에 따라 IGF-1의 발현 은 증가되고 TGF-β1의 발현은 감소되어 모유두 세포의 퇴행과 감소를 지연시켜 주는 역할을 하여 성장인자가 남성형 탈모를 지연시켜 줄 수 있다고 사료된다. 본 논문은 좀 더 편리하고 효과가 증대되는 대중적인 두피.모발관리의 한 방법인 샴푸, 트리트먼트 등의 제품을 사용하여 다양하고 전문적인 제품에 대한 긍정적인 인식과 대안을 제시 하고자 하였으며 추후 더 많은 연구를 통하여 미흡한 점이 보완되기를 바란다 .

Autophagy is a cell survival mechanism that works for the survival of cells under various physiological and pathological conditions. ATG5 is a key protein in the process of autophagy propagation and is involved in tumor development and progression. Chemotherapeutic agents targeting ATG5 enhance the host's immune response in various human cancers and intensify the effectiveness of chemotherapy. However, the physiological role of ATG5 protein in oral squamous cell carcinoma (OSCC) has not been fully recognized. The purpose of this study was to examine the correlation between clinico-pathological factors of OSCC patients and ATG5 immunoexpression through immunohistochemistry (IHC) in the tissues of OSCC patients treated at our hospital, and to analyze the regarding influences and their mechanisms. The authors analyzed 20 OSCC patients from National University Dental Hospital, at Pusan National University from January 2002 to December 2007, which were eligible for the study. Data were obtained by reviewing the medical records of the OSCC patients, and ATG5 immunoexpression was obtained using IHC staining in the tissue samples of the OSCC patients. In the tissue sample of OSCC patients, the immunoexpression of ATG5 elevated, in comparison to the normal oral mucosa, and there was a significant correlation with Drinking, Pathological Stage. In regards to Cox regression analysis, Clinical stage, Tumor size, Histopathologic grade, Cervical nodal metastasis, Loco-regional recurrence, and ATG5 expression have statistically significant correlations. These results imply that the changes in the expression of ATG5 proteins in OSCC can be a prominent factor in the OSCC progression and the prognosis of OSCC patients.

PURPOSES : In this paper, the measurement criteria was determined by assessing the factors influencing the measurement of bending resonance frequency which is not specified in KS F 2437. METHODS : The durability evaluation analysis of concrete beam specimens was performed immediately after freezing and thawing processes. It is primarily aiming at improving the repeatability and reproducibility of measurement results by providing measurement criteria for various measurement factors that can occur during the collection of resonance frequency data. An independent concrete durability test (KS F 2456) was executed with the proposed measurement protocol for evaluation. RESULTS : A measurement protocol was proposed to determine the transverse resonance frequency of concrete beam specimens. CONCLUSIONS : It was concluded that the proposed measurement protocol may be used for the concrete durability test; where the resonance frequency could be stably collected.