This study investigates the seismic performance of beam-column connections using Thin-Walled Steel Composite (TSC) beams and Prestressed Reinforced Concrete (PSRC) columns. TSC beams are constructed from U-shaped thin steel plates that are filled with concrete, allowing for composite action with slabs through the use of shear connectors. They are widely applied in industrial buildings due to excellent strength, stiffness, and constructability. However, slender web plates are prone to local buckling, which may compromise their performance during seismic events. To mitigate this issue, internal supports have been introduced to enhance web stability and concrete confinement. Cyclic loading tests on three specimens—with and without internal supports—demonstrated that the supports increased moment capacity, improved energy dissipation, and effectively reduced buckling. Even slender sections demonstrated performance comparable to that of compact sections. All specimens reached peak strength at a 2.44% rotation angle, with damage localized near the supports. A practical connection detail was also proposed, taking into account constructability and structural reliability. The results provide valuable guidance for the seismic design of composite systems in large-scale structures.

Conventional fixed-time traffic signal operations at urban intersections are typically based on prescheduled plans that presume stable and recurring traffic patterns, particularly during peak commuting hours. However, recent societal changes—including flexible work schedules, telecommuting, and evolving workweek structures—have introduced greater variability in traffic demand, thereby diminishing the effectiveness of traditional peak-hour-focused control strategies. This study investigated the performance of an AI-based adaptive traffic signal control system that operated independently of predefined time plans. A field demonstration was conducted in Jeju City, South Korea, where the system was deployed in both the cyclic and acyclic operation modes. By leveraging real-time traffic data obtained from AI-enabled video detectors, the system adjusted the signal timings on a per-second basis in response to dynamic traffic conditions. The performance was evaluated against the conventional time-of-day (TOD) control method under diverse traffic scenarios, including typical weekdays, weekends, and local event days. The AI-based system achieved substantial reductions in intersection delays—24.3% on weekdays, 22.2% on weekends, and 17.1% on event days—compared with the TOD baseline. Moreover, it preserved a comparable level of traffic progression (measured by the proportion of non-stop vehicle flows) even during acyclic operations. The greatest efficiency gains were observed during the nighttime and low-traffic periods, underscoring the capacity of the system to minimize unnecessary delays under variable conditions. These results highlighted the potential of AI-based adaptive signal control as a viable alternative to conventional fixed-time operations, offering enhanced responsiveness and operational flexibility in increasingly complex urban traffic environments. Future research will focus on scaling the system to larger networks and developing integrated optimization strategies across multiple intersections.

Current portable reference equipment used to evaluate the performance of vehicle detectors can collect traffic volume and speed only for the outermost lanes in each direction. Passing vehicles on the other lanes are manually counted by reviewing the recorded videos. Consequently, only traffic volume—without vehicle speed—is used as a reference value. This method is time-consuming for comparing the performance data from the equipment with the reference data and can compromise the performance evaluation. This study aims to enhance the efficiency of vehicle detection system (VDS) performance evaluations by developing multilane portable reference equipment that can accurately collect traffic information for lanes beyond the outermost lane or for more than two lanes. This study introduced the core technologies of multilane portable reference equipment and compared and analyzed the measurement accuracy of the developed equipment against data from fixed reference equipment operated by the Intelligent Transportation System (ITS) Certification and Performance Evaluation Center, following ITS performance evaluation criteria. The data from the fixed reference equipment were considered the true values, providing a basis for evaluating the accuracy of the measurements by the developed equipment. First, the accuracy of the vehicle length was determined by driving four test vehicles, each measuring 7,085 mm in length, 24–29 times in each lane. The accuracy was calculated by comparing the vehicle length data obtained from the fixed reference equipment with the actual vehicle length. A confidence interval was established for this accuracy. To assess the accuracy of the speed and occupancy time in relation to the accuracy of the analyzed vehicle length, we evaluated the error range of the vehicle length according to variations in speed and occupancy time. This analysis was based on the following relationship equation: “vehicle length = speed × occupied time – sensor spacing.” The analysis used data from approximately 16,000 vehicles, including the speed, occupancy time, and vehicle length, collected between 8:00 am and 12:00 pm on August 8, 2024. The principle behind measuring traffic volume and vehicle speed using multilane portable reference equipment involves detecting a vehicle by analyzing the time difference between the driver and passenger tires. The vehicle speed was calculated using the installation angle of the tire detection sensor and trigonometric functions. An analysis of the measurement accuracy revealed that the traffic volume accuracy of the outermost lane (the fourth lane) was 100% during both day and night. The speed accuracy was 98.8% during the day and 97.7% at night, representing the highest performance in these metrics. Additionally, the traffic volume accuracy for the innermost lane (the first lane), as measured by the detection sensor from the third lane, was more than 99.3% at all times, with a speed accuracy exceeding 96% during the day and night, that also demonstrated excellent results. The analysis results indicated that the multilane portable reference equipment developed in this study was suitable for evaluating the VDS performance. This equipment allowed the collection of traffic volume and speed data from all lanes, rather than only the outermost lanes. This capability enabled consistent analysis for each lane and enhanced efficiency by reducing the analysis time. Additionally, this is expected to improve the reliability of the performance evaluations.

본 연구는 동결융해 및 철근 부식으로 복합열화된 철근콘크리트 보를 탄소섬유 복합재료로 보강한 경우의 휨 거동을 평가하 기 위해 층상화 단면해석 모델을 제안하고 그 유효성을 실험적으로 검증하였다. 해석 모델은 열화에 따른 재료물성 저하와 CFRP 보강 효과를 통합적으로 고려하여 휨 거동을 예측하도록 구성되었다. 제안된 모델의 해석 결과, 열화 및 CFRP 보강 RC 보의 항복휨모멘트 와 최대휨모멘트 예측값은 실험값과 평균 1.01∼1.16의 비율을 보여 휨 성능을 매우 높은 신뢰도로 예측함을 확인하였다. 그러나 휨모 멘트-변위 관계에서는 일부 상이한 경향이 관찰되었다. 항복 이전 구간에서는 해석 모델의 휨 강성이 실험 결과보다 높게 평가되었는 데, 이는 해석 모델이 콘크리트의 초기 미세균열과 같은 비선형적 거동을 완벽히 반영하지 못하기 때문으로 분석된다. 반면, CFRP로 보강된 보의 항복 이후 구간에서는 해석 모델의 강성이 실험값보다 낮게 나타났다. 이는 현행 RC 이론 기반의 변위 산정 방식이 CFRP 보강재의 높은 탄성계수 효과를 충분히 반영하지 못하여 최대강도 도달 시의 변위를 과대평가하기 때문으로 판단된다.

This study proposes a methodology for predicting the physical properties such as the density of polymer composites, including asphalt binders, and evaluates its feasibility by identifying the quantitative relationship between the structure and properties of individual polymers. To this end, features are constructed using molecular dynamics (MD) simulation results and descriptor calculation tools. This study investigates the changes in the calculated density depending on the characteristics of the training dataset and analyzes the feature characteristics across datasets to identify key features. In this study, 2,415 hydrocarbon and binder-derived polymer molecules were analyzed using MD simulations and 2,790 chemical descriptors generated using alvaDesc. The features were pre-processed using correlation filtering, PCA, and recursive feature elimination. The XGBoost models were trained using k-fold cross-validation and Optuna optimization. SHAP analysis was used to interpret feature contributions. The variables influencing the density prediction differed between the hydrocarbon and binder groups. However, the hydrogen atom count (H), van der Waals energy, and descriptors such as SpMAD_EA_LboR consistently had a strong impact. The trained models achieved high accuracy (R² > 0.99) across different datasets, and the SHAP results revealed that the edge adjacency, topological, and 3D geometrical descriptors were critical. In terms of predictive accuracy and interpretability, the integrated MDQSPR framework demonstrated high reliability for estimating the properties of individual binder polymers. This approach contributed to a molecular-level understanding and facilitated the development of ecofriendly and efficient modifiers for asphalt binders.

콘크리트 구조물의 내ㆍ외부 보강재로 사용되는 CFRP(Carbon Fiber Reinforced Plastic) 그리드의 철근 대체 가능성을 확인하기 위해, 철도용 콘크리트 침목 내부에 CFRP 그리드를 보강한 후 유한요소 해석 프로그램인 ABAQUS를 활용하여 성능을 평가 하였다. 본 연구에서는 PC 강연선 대신 CFRP 그리드를 보강하고 하중을 재하한 결과, 피복두께 40 mm에서 최대 휨-인장 응력이 2.494 MPa로 도출되었으며 이는 KR CODE 2012의 허용응력 기준을 충족하는 값으로 나타났다. 추가적으로, 본 연구에서는 설계기준에 따라 하중 조건과 응력분포를 고려하여 중립축 위치와 CFRP 그리드의 배치를 최적화한 침목 단면설계를 진행하였다. ABAQUS 해석을 통해 침목의 휨 강도와 내구성을 평가한 결과, CFRP 그리드를 적용한 침목은 기존 PC 강연 선 보강 침목 대비 유사한 수준의 구조적 성능을 확보하면서도 경량화 측면에서 우수함을 확인하였다. 이를 통해 CFRP 그리드가 철근 을 대체하여 철도용 콘크리트 침목 설계에 적합한 보강재로 활용될 수 있음을 확인하였다.

This study proposes a methodology for predicting properties such as the density of polymer composites, including asphalt binders, and evaluates its feasibility by identifying the quantitative relationship between the structure and properties of individual polymers. To this end, this study investigates the variations in molecular dynamics (MD) results with molecular structural complexity and assesses the independence and correlation of variables that influence density. In this study, MD simulations were performed on hydrocarbon-based and individual asphalt binder molecules. The effects of various temperatures, molecular conditions, and structural features on the density were analyzed. MD-related variables influencing the calculated density were evaluated and compared with experimentally measured densities. The MD-calculated densities were used as target variables in a subsequent study, in which a machine learning model was applied to perform quantitative structure–property relationship analysis.The MD-calculated densities showed a strong correlation with experimental measurements, achieving a coefficient of determination of R2 > 0.95. Potential energy exhibited a tendency to cluster into 4–6 groups depending on the molecular structure. In addition, increasing molecular weight and decreasing temperature led to higher density and viscosity. Torsional energy and other individual energy components were identified as significant factors influencing both potential energy and density. This study provided foundational data for the property prediction of asphalt binders by quantitatively analyzing the relationship between the molecular structure and properties using MD simulations. Key features that could be used in the construction of polymer structure databases and AI-based material design were also proposed. In particular, the integration of MD-based simulation and machine learning was confirmed to be a practical alternative for predicting the properties of complex polymer composite systems.

본 연구는 팀 기반 시뮬레이션실습에서 교수평가, 동료평가와 자기평가의 점수를 확인하 며, 평가주체별로 점수를 어떻게 주는 경향이 있는지 알아보고 그 관계를 파악하는 것을 목적으로 한다. 이를 위해 ‘성인간호학실습(4)’를 수강한 간호대학생 중 연구 참여에 동의한 135명을 대상으로 학생들이 제출한 동료평가지와 자기평가지의 점수와 교수자 점수를 통계 적으로 분석하였다. 연구결과, 평가주체별 점수는 자기평가, 동료평가, 교수평가 순이었고, 자기평가에서 음의 왜도가 크고 첨도가 높아 스스로에게 높은 점수를 주는 경향이 있음과 집중된 평가 경향을 보이는 것으로 나타났다. 반면에 교수평가는 상대적으로 고르게 분포 된 평가를 하는 것으로 나타났다. 평가주체별 점수간 관계는 동료평가와 교수평가간에 정 적 상관관계가 있었다. 결론적으로, 팀 활동에서의 다면평가는 단일 평가자가 평가할 때 발 생하는 평가자 오류에서 상대적으로 자유롭지만, 단순히 평가자의 수를 늘리는 것만으로는 평가 결과의 신뢰성을 보장할 수 없기 때문에 맹목적으로 신뢰해서는 안 된다. 본 연구는 팀 기반 시뮬레이션실습에서 다면평가를 위한 구체적인 기준을 마련하고, 평가의 신뢰도와 타당도를 제고하기 위한 자료로 활용될 수 있을 것이다.

바이오차는 현재 토양개량제이자 탄소격리재로 사용되고 있으며, 건축산업에서 탄소격리에 관한 관심이 증가하고 있다. 본 연구에서는 목질계 바이오차를 시멘트 복합체에 함유하여 탄소격리효과의 가능성을 조사하는 것을 목표로 한다. 목질계 바이오차는 고탄소 물질로 수분을 흡수하는 특성이 있으며 시멘트 복합체에 함유하고자 할 때 시멘트와 비슷한 입도를 가져야한다. 혼입방법에 따라 바이오차를 함유한 시멘트 모르타르의 압축강도 특성을 평가하였으며, 시멘트를 바이오차로 1∼5% 치환하는 경우 Plain 대비 5∼12%까지 압축강도가 증진되는 것을 확인하였다.

Multivalent ions in natural aqueous solutions—such as seawater, brackish water, and freshwater—can negatively affect the performance of ion exchange membranes (IEMs) used in electrochemical energy and environmental devices. In this study, a pore-filling cation exchange membrane (CEM) permeable to multivalent ions was fabricated to minimize performance degradation caused by such ions. To achieve this, multilayer pore-filling CEMs were prepared by performing two impregnation processes using monomer electrolyte solutions of different compositions (varying deionized water content and monomerto- crosslinker ratios). As a result, a highly crosslinked electrolyte polymer formed on the internal side of the CEM, while a low-crosslinked polymer formed on the external side. Due to the presence of the low-crosslinked outer polymer layer, the multilayer pore-filling CEM exhibited a smaller increase in resistance caused by Mg2+ ions. Furthermore, based on the correlation between permselectivity and resistance measured in a 0.45 M NaCl + 0.05 M MgCl2 solution, which simulated the Mg2+ concentration in seawater, an optimal structure of multilayer pore-filling CEM was identified, and it exhibited a minimized increase in resistance and a permselectivity of over 90 %.

In apartment buildings in Korea, irregular walls, such as T-, L-, and U-shaped walls, are commonly used. However, in practical design, the geometric irregularities of walls are often neglected when determining the length of the lateral confinement region. Further, although earthquake loads apply from various directions, the lateral confinement region is typically determined for the in-plane direction of the web. Thus, using finite element analysis, this study investigated the structural performance of irregular walls subjected to various loading directions. As the design parameters, wall shape, cross-sectional aspect ratio, and loading direction were addressed. According to the parametric analysis results, as the length of flange in tension increased, the lateral confinement region should be evaluated with consideration of the geometric irregularity. Further, for the L- and U-shaped walls, it is recommended to evaluate the lateral confinement region for various loading directions. Based on these results, a design method to determine the lateral confinement region of irregular walls was suggested.

Background: The Functional Movement Screen (FMS) is widely used for movement assessment but suffers from subjective scoring that leads to inconsistent evaluations. While previous studies have focused on reliability, the validity of AI-supported assessment remains unexplored. Objectives: To evaluate the reliability and validity of an AI-based motion analysis system using MediaPipe for three FMS movements. Design: Prospective reliability and validity study with repeated measures. Methods: Thirty healthy adults (age 23.4±2.8 years) performed three FMS tests (Deep Squat, Hurdle Step, Inline Lunge) recorded on video. Three evaluators (two experienced physical therapists and one novice) assessed recordings in three phases: Phase 1 involved traditional assessment by experts only to establish criterion reference, Phase 2 had all evaluators using AI support, and Phase 3 consisted of repeated AI-supported assessment. The AI system provided real-time visual feedback of joint angles and alignment through MediaPipe skeletal tracking. Results: Criterion validity showed strong agreement between traditional expert assessment and AI-supported assessment (r=0.94, P<.05). Inter-rater reliability improved from good (ICC=0.89) to excellent (ICC=0.91) with AI support. The novice evaluator achieved immediate expert-level performance with only 0.05 points difference from experts. Intra-rater reliability was excellent for all evaluators (ICC=0.84-0.89). Conclusion: The AI-based system demonstrated strong validity and improved reliability for fundamental movement assessment. While AI support enabled novice evaluators to achieve expert-level performance immediately, it may increase sensitivity to subtle movement variations. This technology shows promise for standardizing movement screening, though current limitations restrict its application to standing movements.

Italian ryegrass (Lolium multiflorum Lam., IRG) is a widely cultivated winter forage crop known for its high yield and nutritional value. This study evaluated the processing characteristics and feeding performance of IRG-based pellets in Hanwoo cattle (Bos taurus coreanae) and Korean native black goats (Capra hircus). IRG was harvested at the optimal growth stage and processed into two pellet formulations: IRG ≥80% (with up to 20% soybean meal) and 100% IRG. Feeding trials were conducted under ad libitum feeding conditions. Hanwoo cattle showed higher intake of 100% IRG pellets (7.9 kg/day/head) than IRG ≥80% pellets (7.5 kg/day/head, p<0.05), with similar average daily gain (0.9 ± 0.4 kg/day/head). Conversely, black goats exhibited significantly lower intake of IRG ≥80% pellets (54.6 g/day/head) compared to 100% IRG pellets (266 g/day/head), likely due to reduced palatability associated with soybean meal inclusion. These findings suggest that IRG pellets are suitable for Hanwoo cattle, while further optimization of pellet size and formulation is required to improve acceptance in goats. Future studies should assess long-term impacts on digestion, rumen fermentation, and metabolic responses.

This study aims to identify and prioritize the key factors essential for transforming a traditional port into a smart port using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) based on Chang’s extent analysis method. Based on the insights of 30 experts from Vietnam and South Korea, the research framework comprises three main dimensions, namely Policy, Operation, and Environment, which are further divided into ten sub-factors. The analysis revealed that Policy and Operation were perceived as the most critical dimensions, while Environment received relatively less emphasis. At the factor level, Automation & Intelligent Infrastructure ranked highest, followed by Investment & Financial Support, Productivity, and Regulatory Frameworks. In contrast, environmental factors such as Water & Waste Management and Emission Control were ranked lowest. Notably, Vietnamese and Korean experts all value the importance of advanced technology and investment capacity but still have some differences in prioritizing the other factors, reflecting differing national contexts and developmental stages. These findings offer strategic guidance for policymakers and port authorities in tailoring smart port development strategies to local conditions and priorities.

Porcine edema disease (ED) is an enterotoxemia of pigs caused by Escherichia coli that produces Stx2e. In this study, the protective efficacy of a recombinant modified Stx2e toxoid was evaluated as a vaccine candidate against ED in piglets. The recombinant Stx2e toxoid was expressed and purified using a commercial E. coli expression system. A total of 25 piglets were used and divided into 5 groups (A to E), with 5 piglets in each group. All piglets (except those in group A) were intramuscularly immunized at 5 days of age (0 weeks post prime immunization; 0 WPPI) and again at 3 weeks of age (2 WPPI). Group B piglets were inoculated with sterile PBS, while groups C to E were immunized with 25 μg/piglet, 50 μg/piglet, and 100 μg/piglet of the recombinant toxoid, respectively. All piglets in groups B to E were orally challenged with virulent wild-type Stx2e⁺ F18⁺ E. coli isolates at 5 weeks of age (4 WPPI). Serum IgG titers in groups D and E were significantly increased from 2 WPPI until the end of the study. Furthermore, no clinical signs were observed in groups A and E during the 7 days following the challenge, while clinical signs of ED were observed in 80%, 60%, and 20% of piglets in groups B, C, and D, respectively. These results indicate that intramuscular vaccination with 100 μg/piglet of the recombinant modified Stx2e toxoid can provide effective protection against ED in piglets.

목적 : 본 연구는 고등학생들이 학교에서의 장애 학생과 접촉 경험이 장애인에 대한 인식 및 관심에 미치는 영향을 알아보고 또한 시각장애 체험 프로그램의 유익성 평가에 미치는 영향에 대해 조사하고자 한다. 방법 : 비장애 고등학생(176명)을 대상으로 장애인에 대한 인식과 관심, 학교생활에서 접촉 경험 등에 관 한 설문조사를 진행하였으며, 시각장애 체험 장비를 활용하여 체험 프로그램을 진행 후 장애체험 관련 설문을 추가로 실시하였다. 자료 분석을 위하여 IBM SPSS Statistics 21.0을 통한 기술통계분석, 빈도분석, 다중회귀 분석 방법을 활용하였다. 결과 : ‘장애인에 대한 인식 및 관심’과 ‘시각장애 체험 프로그램 유익성 평가’ 와 관련된 세부 항목들에서 전반적으로 긍정적인 인식을 가지고 있는 것으로 확인되었다. 응답자의 학년이 높을수록, 장애 학생과 반에서 함께 생활 경험이 있는 응답자일수록 장애인에 대한 긍정적 인식이 높은 것으로 나타났다. ‘장애인에 대한 인 식’이 긍정적일수록 장애인에 대한 관심이 높은 것을 확인하였다. 응답자의 연령과 학년이 높을수록 시각장애 체험프로그램에 대한 평가가 긍정적으로 확인되었고, 장애 학생과 반에서 함께 생활한 경험이 없는 응답자일 수록 시각장애체험 프로그램에 대한 평가가 긍정적으로 나타났다. 결론 : 비장애 학생들의 장애인에 대한 인식과 관심이 전반적으로 긍정적이였으며 시각장애인과의 접촉 경 험이 적은 학생들에게 시각장애 체험프로그램을 적용 시 장애인에 대한 인식 및 관심을 제고시키는데 도움이 된다.