In this study, we propose a data-driven analytical framework for systematically analyzing the driving patterns of autonomous buses and quantitatively identifying risky driving behaviors at the road-segment level using operational data from real roads. The analysis was based on Basic Safety Message (BSM) data collected over 125 days from two Panta-G autonomous buses operating in the Pangyo Autonomous Driving Testbed. Key driving indicators included speed, acceleration, yaw rate, and elevation, which were mapped onto high-definition (HD) road maps. A hybrid clustering method combining self-organizing map (SOM) and k-means++ was applied, which resulted in eight distinct driving pattern clusters. Among these, four clusters exhibited characteristics associated with risky driving such as sudden acceleration, deceleration, and abrupt steering, and were spatially visualized using digital maps. These visualizations offer practical insights for real-time monitoring and localized risk assessment in autonomous vehicle operations. The proposed framework provides empirical evidence for evaluating the operational safety and reliability of autonomous buses based on repeated behavioral patterns. Its adaptability to diverse urban environments highlights its utility for intelligent traffic control systems and future mobility policy planning.

In this study, we investigated and analyzed the impact of changes in driving speed and inter-vehicle distance on users’ perceived tension during autonomous vehicle operation. To this end, a survey experiment was conducted for both urban roads and highways. The results show that the greatest changes in perceived tension occurred in the range of 50–70 Km/h and 50–70 m following distance on urban roads, and in the range of 80–100 Km/he and 60–80 m following distance on highways. Furthermore, modeling user behavioral responses to perceived tension based on changes in speed and following distance revealed that linear models best described the relationship for speed on both urban roads and highways. For the following distance, a quadratic model was the most suitable for urban roads, whereas a logarithmic model best fit the highway data. These findings are expected to contribute to practical operational guidelines for autonomous vehicles by alleviating users’ psychological discomfort and enhancing public acceptance. Future research will extend this study using a driving simulator to examine user responses in more realistic driving environments.

This study was conducted to analyze the amount of carbon dioxide generated by major types of traffic safety facility works during road construction, including traffic safety signs, median dividers, roadside guardrails, and gaze guidance facilities.The material and fuel input units for each detailed construction type were set based on the design data for road construction and top-level data, and the quantities were input and analyzed based on the design data. For the top-level data, civil engineering and design data provided by the Public Procurement Service were organized based on the general national road data and analyzed using SimaPro, a commercial program. A total of 300 [SI units] were generated for a 4.4 km section of the four-way road. Traffic safety signs were roughly 2.3 , guardrails were about 287.2 , and gaze guidance facilities were approximately 10.2 . Although the extension or quantity of each facility will vary depending on the characteristics of the design section, if the construction section is based on the basic unit, it can be determined that about 68.1 [SI units] of total carbon dioxide were generated, of which about 0.5 was generated for traffic safety signs, about 65 for guardrails, and about 2.3 was generated for gaze guidance facilities. In this study, we analyzed environmental factors that impact the construction of traffic safety facilities that were not specifically calculated in Korea. Moreover, our results can be used to judge the amount of carbon generated by road cycles in the future or to evaluate the qualities of carbon in terms of various types of traffic safety facilities.

본 연구는 간호대학생의 임상실습 스트레스가 전환충격에 미치는 영향 에서 스트레스 대처와 사회적 지지의 병렬 매개효과를 검증함으로써, 두 자원의 상대적 중요성을 규명하고 간호교육 현장에서의 중재 전략 수립 에 근거를 제공하고자 시도되었다. 이를 위해 C도에 소재한 일개 대학의 3~4학년 간호대학생을 대상으로 2024년 11월 15일부터 11월 25일까지 구조화된 설문지를 활용하여 자료를 수집하였다. 수집된 자료는 SPSS 28.0을 활용하여 기술통계, Pearson 상관분석, PROCESS macro의 Model 4를 분석하였다. 연구결과 임상실습 스트레스는 사회적 지지와 부적의 상관관계(r =-.237, p=.004), 전환충격과 정적 상관관계(r =-.685, p<.001)가 나타났고, 스트레스 대처는 사회적 지지와 정적 상관관계 (r =.219, p<.001), 사회적 지지와 전환충격은 부적 상관관계(r =.-296, p<.001)가 나타났다. 또한 임상실습 스트레스와 전환충격과의 관계에서 스트레스 대처는 매개효과가 유의하지 않았으나, 사회적 지지의 유의한 부분 매개효과(B=.033, 95% CI [.001, .094])가 확인되었다. 이는 전환충 격의 완화에 있어 개인이 보유한 대처 전략보다 외부로부터 제공되는 사 회적 지지가 더 효과적임을 시사한다. 따라서 임상실습 교육 전반에서 다양한 형태의 사회적 지지 체계를 구축하는 전략이 필요하다.

The concept of resilience has gained increasing attention amid growing urbanization and rising vulnerability to infrastructure. While various methodologies exist for evaluating the resilience of lifeline systems, few address the distinct structural features and failure modes of railway networks. This study refines existing approaches by incorporating characteristics unique to high-speed railways, with a focus on two key aspects. First, we define the structure of railway networks by identifying nodes and links, and deriving link-specific resilience criteria based on the fragility characteristics and recovery profiles of their structural components. Second, we utilize real data from the Korean railway system to quantify the performance degradation caused by component failures during seismic events. To assess the framework’s applicability, we use a simplified network and a more complex one integrating Korea’s Honam Line and Honam High-Speed Line. The framework effectively identifies critical scenarios and provides a valuable tool for decision-makers in assessing seismic risk and planning recovery for railway infrastructure.

본 논문은 먼저 레이먼드 카버의 대성당 에서 화자가 로버트를 결핍의 인 물로 규정하고, 시각장애를 연민하거나 교정의 대상으로 간주하는 이른바 ‘의학 적 모델’의 관점을 통해 그를 바라보는 서술 전략을 세밀히 분석할 것이다. 뿐 만 아니라, 메를로-퐁티의 지각 현상학과 로라 U. 마크스의 ‘촉각적 시각성’ 이 론을 참조하여, 작품이 시각의 절대적 우위를 흔들고 인식을 몸짓·근접성·신체 적 접촉에 뿌리를 둔 다감각적 과정으로 재구성하는 방식을 고찰할 것이다. 나 아가, 본 논문은 이 작품이 이러한 체화되고 관계적인 ‘보기’의 방식을 통해 어 떻게 일상의 차원을 넘어 성스러움의 체험으로 나아가는 길을 열어 보이는지, 즉 평범한 삶의 순간들 속에서도 신성함이 드러날 수 있음을 어떤 미학적·윤리 적 방식으로 제시하는지를 고찰할 것이다.

This study analyzed the emission characteristics of major air pollutants from 97 domestic municipal solid waste incineration facilities using tele-monitoring system (TMS) data collected from 2015 to 2023. Focusing on the effects of the enforcement of enhanced national emission standards in 2019, this research examined changes in emission factors (EFs) of dust and nitrogen oxides (NOX) by facility capacity and aging level. The results showed that the average EFs for dust and NOX significantly decreased by up to 30% after enforcement (p<0.01~0.001), indicating the practical effectiveness of the strengthened standard. This trend was observed consistently across all facility sizes and aging levels, including large-scale and older facilities. In contrast, hydrogen chloride (HCl) and carbon monoxide (CO) did not show clear reductions and remained highly variable, suggesting that emission standards alone may not be sufficient for stable control. These findings demonstrate the need for optimized combustion conditions and improved post-treatment systems for pollutants such as HCl and CO. This study provides empirical evidence highlighting the importance of appropriate facility scale and systematic refurbishment cycles for stable emission reduction in municipal waste incinerators.

Airborne microplastics (AMPs), known to be persistent pollutants, have recently been detected in the atmosphere and even in human lung tissue, raising concerns about potential human respiratory exposure. In light of these concerns, this study aimed to investigate the distribution and composition of AMPs in Seoul. μ-Raman spectroscopy was employed to identify fine particles (≥5 μm) and to contribute to the development of standardized monitoring protocols. Monthly air sampling was conducted from September 2023 to March 2024 at an urban rooftop site using a PM10 air sampler. Samples were pretreated with hydrogen peroxide to remove organic matter, then filtered through a silicon filter. μ-Raman spectroscopy was applied for qualitative and quantitative analysis of microplastics. The mean concentration of AMPs was 74.0 ± 29.9 particles/m3, with polyethylene (46.7%) and polystyrene (21.8%) being the most prevalent polymer types. Most particles (64.5%) were in the size range of 5–10 μm, and fragment type particles accounted for 98.9% of the total. These results indicate that respirable microplastics are commonly present in urban air and that polymer composition may reflect both material properties and usage patterns. This research provides baseline data for future exposure and risk assessments and supports the need for international standardization of airborne microplastic analysis protocols.

In this study, we investigated the characteristics of meteorological factors influencing odor emissions based on odor complaint records and meteorological observation data collected from 2014 to 2021 in Seoul, a megacity with a high population density and no regulated facilities or management zones apart from public environmental infrastructure and neighborhood living facilities. A total of 134,976 odor complaints were recorded over eight years (2,922 days), with a daily peak of 946 cases. From 2018 onward, daily complaints consistently exceeded 200 cases, reaching their highest level in 2019. Complaints were regularly and intensively concentrated during specific periods of the year. Among meteorological factors, dry tide time and dominant wind direction exhibited bimodal distributions within the observation range, while the other 11 meteorological factors were concentrated at a single value. The average meteorological conditions during the period with the highest number of odor complaints and observation days were: temperature 24.2oC, surface temperature 26.7oC, local pressure 1,000.4 hPa, sea-level pressure 1,010.8 hPa, vapor pressure 4.3 hPa, solar irradiance 10.5 MJ/m2, precipitation 0.6 mm, relative humidity 61.5%, wind speed 2.2 m/ s, and dominant wind direction 57.9o. These factors corresponded with the periods of highest odor complaints and observation days; however, dew point temperatures (15.3oC and 19.1oC), dry tide times (14.7 hours and 9.7 hours), and sunshine times (15.1 hours and 9.0 hours) did not coincide with those periods. The meteorological factors with the highest odor complaint emission rates (SROCE, cases/day) across 13 sections, ranked in descending order, were: dry tide time (73.5), surface temperature (67.7), solar irradiance (65.1), sea-level pressure (64.3), temperature (62.7), local pressure (62.7), dew point temperature (60.3), vapor pressure (58.7), sunshine times (54.1), relative humidity (53.1), wind speed (51.2), dominant wind direction (48.7), and precipitation (46.3). The intensity of odor complaint emission (IOCE, cases/day), calculated across the entire meteorological observation range, was highest in the following order: solar irradiance (63.8), dry tide time (60.5), sunshine times (60.3), local pressure (57.2), surface temperature (57.1), sea-level pressure (57.0), temperature (56.4), vapor pressure (55.8), dew point temperature (55.7), relative humidity (49.4), dominant wind direction (49.2), wind speed (49.0), and precipitation (46.5). The IOCE for solar irradiance was 37.2% higher than that for precipitation, which had the lowest IOCE. Additionally, the average IOCE of sunlightrelated meteorological factors such as dry tide time, sunshine times, and solar irradiance was 61.5 cases/day, which is 29.5% higher than that of moisture-related factors, including precipitation and relative humidity (47.5 cases/day). These results suggest that sunlight-related factors significantly contribute to odor complaints. This study evaluated the characteristics of odor emissions associated with complaints within the meteorological observation range, identified meteorological factors corresponding to the highest observed odor emissions, and assessed the contribution of these factors to odor emissions based on the IOCE metric. Based on these results, we anticipate being able to predict odor emission levels using weather forecast data.

This study evaluated the effects of supplementing sawdust medium with 10% (w/w) Korean-style soy sauce residue (KS) and brewed soy sauce residue (BS) on the cultivation of Pleurotus ostreatus. Over 25 days, KS treatment produced mycelial growth comparable to the control, whereas BS treatment showed slower colonization. Fruiting bodies appeared after nine days in the control, ten days with BS, and twelve days with KS, with fresh weights of 146.0 g, 174.8 g, and 89.0 g, respectively, indicating reduced yield with KS and increased yield with BS. In antioxidant assays, DPPH radical scavenging slightly increased from 89.15% in the control to 89.99% with KS and 90.34% with BS. ABTS scavenging was 82.36% in the control, 83.42% with KS, and 75.99% with BS. Total polyphenol content was 64.39 mg AAE/mL in the control, 62.72 mg AAE/mL with KS, and 43.28 mg AAE/mL with BS. In conclusion, KS supports mycelial growth without compromising DPPH-based antioxidant capacity, while BS enhances fruiting body yield but reduces ABTS activity and phenolic content. Both residues show potential as supplementary nutrients in conventional sawdust media.

A new oak mushroom cultivar Lentinula edodes ‘Eomjisong’ (LE23734), was developed by crossing the dikaryotic and monokaryotic strains of ‘KME36298’ and ‘KME36288-1’, respectively. The optimal temperature for mycelial growth of ‘Eomjisong’ on potato dextrose agar was 23–27°C, and was 15–20°C for fruiting body development. The cultivation period of ‘Eomjisong’ was 131 days, which was 3 days shorter than that of the control cultivar ‘Hanacham’. Morphologically, ‘Eomjisong’ showed stipe length and thickness similar to those of ‘Hanacham’, however, the pileus was larger and thicker. Furthermore, the pileus of ‘Eomjisong’ exhibited higher brightness than that of ‘Hanacham’. Productivity tests showed that the total yield of ‘Eomjisong’ reached 555 g, which was approximately 25.6% higher than that of ‘Hanacham’ (442 g). These findings indicate that ‘Eomjisong’ is a promising cultivar with enhanced productivity and morphological advantages over ‘Hanacham’, suggesting its potential for commercial cultivation.

본 연구는 MTS가 피부개선에 미친 영향에 관한 기존 연구들을 분석하여, 근거 체계를 구축하고, 주요 키워드 간 관계와 역할 및 패턴 등을 구조적으로 분석하고자 텍스트마이닝과 토픽모델링 및 단어네트워크 분석을 실시하였다. 관련 선행연구들은 MTS와 관련된 핵심 키워드와 연관 키워드를 혼합하여 전자도서관에서 검색하였으 며, 결론 부분의 Text를 수집하여 분석에 사용하였다. 분석결과는 다음과 같다. 첫 째, '피부', '효과', '실험', '관리', '개선' 등의 어휘가 주요 개념으로 확인되었다. 둘째, TF-IDF 분석에서 높은 가중치의 키워드들은 MTS의 피부 개선 효과에 관한 과학적 실험 기반 논의를 시사했다. 셋째, LDA 분석 결과, ‘과학적 검증 중심’과 ‘피부 개선 효과 중심’의 토픽2개로 나뉘었다. 넷째, 단어 네트워크에서 '피부'를 중심으로 '주름', '효과', '실험' 등이 강하게 연결되었고, '여성'과 '모공' 노드는 MTS가 여성 안면 부위 에 주로 적용됨을 나타냈다. 본 텍스트마이닝 기법은 유사 의료 미용 시술 분석에도 적용 가능하며, 향후 시계열 분석과 감성 분석을 통해 MTS 효과의 변화와 대상자 반응을 심층 탐색할 필요가 있다.

The Pyrosim fire simulation program was used to investigate changes in operating time as a function of the attachment height of a fixed-temperature detector. Operating times were analyzed for detector heights ranging from 4 m to 7.5 m, in 0.5 m increments, within a 30 m2 space. The fire source was modeled as a wooden pallet 1.22 m in height, and a Type 1 fixed-temperature detector with an activation temperature of 67.9℃ was used. The simulation results showed that operating time increased progressively with detector height, rising from 155.7 seconds at 4m to 206.3 seconds at 7.5 m a maximum delay of 50.6 seconds. Notably, larger increases were observed in the 4 m ~ 4.5 m and 6 m ~ 6.5 m ranges 14.9 and 11.5 seconds, respectively than those observed in other intervals. This suggests that critical height ranges should be considered when establishing detector installation standards. This study found that current design standards may not ensure adequate detection performance in high-ceilinged structures. In warehouses and industrial facilities with ceilings of 6m or higher, such delays in detector activation could hinder early detection, indicating a need for improvements

This study quantitatively analyzed the effect of ceiling height on the response time of rate of rise heat detectors. A 7 m × 5 m simulation model was constructed using the PyroSim program, and scenarios were conducted by varying the installation height from 4.0 m to 7.5 m in 0.5 m increments. A wooden pallet fire source, placed at a height of 1.22 m, was simulated. The simulation results showed that as the installation height increased, the response time was delayed from 155.6 seconds to 204.6 seconds a difference of approximately 49 seconds. Meanwhile, the activation temperature decreased from 50.4 ℃ to 43.4 ℃, representing a drop of about 7 ℃. These findings indicate that in structures with higher ceilings, the responsiveness of detectors may be compromised due to the delayed arrival of hot air flows. Therefore, current height based installation standards in prescriptive design should be re-evaluated for high ceiling structures. Complementary design measures such as optimized placement, detector type selection, and increased installation density are recommended.

This study evaluated the effectiveness of fire safety education in high school dormitories—high-density residential environments—by assessing both cognitive and behavioral changes. Pre- and post-surveys were combined with measurement of the Required Safe Egress Time (RSET), which recorded 264 seconds from alarm activation (T₀ + 0 sec) to final evacuation completion (T₀ + 264 sec). This enabled a quantitative analysis of behavioral improvement. Results revealed that academic performance and family background significantly influenced learning outcomes, whereas the “evacuation during fire” domain showed no statistically significant change, suggesting insufficient instructional content or delivery. Policy recommendations include customized fire safety programs reflecting learner characteristics, experiential evacuation drills, school–home safety integration, mandatory dormitory fire drills, and certification with best-practice dissemination. The findings offer a practical framework for enhancing fire safety education tailored to dormitory-based schools, contributing to improved preparedness, response capability, and student survival in real fire emergencies.

본 연구는 한국 해상풍력 입지의 태풍 리스크를 정량적으로 평가하고, 독립적으로 산출한 태풍 위험 지수와 관측기반의 해상 극한풍속을 비교 및 검증하는 것을 목적으로 한다. 기상청의 61년간 태풍 자료(경로, 폭풍반경, 중심기압)를 활용해 변수 중요도 정규 화 및 가중치를 적용하였으며, GIS 공간분석을 통해 격자별 태풍 위험 지수(TRS: Typhoon Risk Score)를 산출하였다. 이를 기반으로 허가된 99개 해상풍력 프로젝트 입지의 TRS를 평가한 결과, 14개 지역(14.1%)이 고위험(TRS > 0.7)으로 분류되었다. 기상청에서 운 영 중인 전국의 9개 해양부이 장기 관측자료를 활용하여 극한풍속을 산출하여 TRS와의 상관도를 분석하였다. ERA5 재해석자료로 장 기 보정된 극한풍속은 TRS와 0.7 이상의 높은 상관성을 보였다. 이는 본 연구에서 61개 태풍 정보로 산출한 TRS가 유의미한 분석결 과를 나타내며, 국내 해상풍력 사업자들의 프로젝트 입지 선정에 좋은 참고자료가 될 수 있음을 시사한다.