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.

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.

Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.

This study experimentally compares the efficacy of Situational Language Teaching (SLT) versus traditional methods in Comprehensive Chinese Language Courses (CCLC). Using an independent samples t-test for data analysis, the study confirms SLT's superior efficacy in enhancing grammatical competence and productive skills over traditional methods. The findings highlight SLT's effectiveness in creating authentic communicative contexts, fostering practical language application, and supporting skill integration. The study provides empirical evidence for adopting SLT in CCLC, particularly for grammar instruction and productive skill development, while emphasizing the importance of contextually grounded teaching practices in Chinese language education.

Virtual Reality Head Mounted Display (VR HMD)-based flight simulators have recently emerged as promising tools for enhancing pilot training effectiveness. This study aims to establish a set of evaluation criteria for the development of VR HMD-based flight simulators and to determine their relative importance and priority using the Analytic Hierarchy Process (AHP). Through an extensive review of the literature, a hierarchical evaluation model was constructed, consisting of three primary criteria and ten sub-criteria. A structured questionnaire was administered to experienced pilots, and the collected data were analyzed using the AHP methodology to assess the relative weights of each criterion. The analysis revealed that the fidelity of system performance is the most influential factor in evaluating VR HMD-based flight simulators. These findings present a structured evaluation framework and offer practical insights for guiding the strategic development and optimization of VR HMD-based flight training systems.

본 연구는 중·소규모 사업장의 높은 산업재해를 저감하기 위한 목적으로 자 기규율 예방체계의 위험성평가를 개선하는 방안을 연구하였다. 이론적 고찰을 위해 기존의 위험성평가 방법과 문제점을 파악하였고, 대기업에 비하여 열악한 중·소규모 사업장의 위험성평가수행에 어려움을 인식하였다. 이를 해결하 기 위한 수단으로 중·소규모 사업장의 지속 가능한 발전을 위해 ESG 경영 평가지표를 함께 고찰하였다. ESG 평가지표 중 산업안전 분야의 위험성평가 내용이 일부 존재하여 기존 위험성평가와 ESG 평가지표 간 관계성, GAP분석 을 통해 문제점을 발견하고 리스크마이닝 기법으로 개선방안을 제안하였다. 모든 사업장에 적용가능한 고도화된 자기규율 예방체계의 위험성평가 개선방 안으로 향후 중소규모 사업장의 산업재해를 경감시키는데 중요한 역할을 할 것으로 기대한다.

Autonomous vehicle (AV) technology is rapidly entering the commercialization phase driven by advancements in artificial intelligence, sensor fusion, and communication-based vehicle control systems. Real-world road testing and pilot deployments are increasingly being conducted, both domestically and internationally. However, ensuring the safe operation of AVs on public roads requires not only technological advancement of the vehicle itself but also a thorough pre-evaluation of the road environments in which AVs are expected to operate. However, most previous studies have focused primarily on improving internal algorithms or sensor performance, with relatively limited efforts to quantitatively assess how the structural and physical characteristics of road environments affect AV driving safety. To address this gap, this study quantitatively evaluated the compatibility of road environments for AV operation and defined the road conditions under which AVs can drive safely. Three evaluation scenarios were designed by combining static factors such as curve radius and longitudinal gradient with dynamic factors such as level of service (LOS). Using the MORAI SIM autonomous driving simulator, we modeled the driving behaviors of autonomous vehicles and buses in a virtual environment. For each scenario, the minimum time to collision (mTTC) from the moment the AV sensors detected a lead vehicle was calculated to assess risk levels across different road conditions.The analysis revealed that sharper curves and lower service levels resulted in significantly increased risk. Autonomous buses exhibited a higher risk on downhill segments, autonomous vehicles were more vulnerable to uphill slopes and gradient transitions. The findings of this study can be applied to establish road design standards, develop pre-assessment systems for AV road compatibility, and improve AV route planning and navigation systems, thereby providing valuable implications for policy and infrastructure development.

As conventional road traffic noise prediction models are designed to estimate long-term representative noise levels, capturing fine-scale noise fluctuations caused by real-world traffic dynamics is challenging. A previous study proposed a microscopic road traffic noise model (MTN) can calculate time-series noise levels with a resolution of 1 s using the concept of a moving noise source. In this study, two experiments were conducted to verify the accuracy of the noise prediction of the model. First, by comparing the calculated noise levels of two conventional road traffic noise models and the MTN in a simple road simulation environment, it was confirmed that the calculation error was within 3 dB(A) when calculating the 1-h equivalent noise level. Second, an experiment was conducted to verify the noise prediction error of the MTN on six actual roads. A comparison of the calculated noise level using the MTN based on traffic data collected from actual roads with the measured noise level on real roads showed that the calculated noise level achieved a mean absolute error (MAE) of 1.88 dB(A) from the equivalent noise level and 1.28 dB(A) from the maximum noise level. This was similar to the MAE of the foreign road traffic noise models. However, when the location of the receiver is within 10 m of the road, an error of more than 3 dB(A) occurs because of the simplicity of the MTN propagation model, which remains a problem that must be solved in the future. This study proved that the noise level calculation using the MTN is similar to the noise of an actual road environment. Additionally, the continuous development of the MTN is expected to make it an effective alternative for the management of road noise.

개의 생애 단계에 따른 영양소 이용성을 이해하는 것은 건강, 발달, 그리고 수명 증진을 위해 중요하다. 특히 자견 시기에는 생리적으로 요구되는 영양소의 결핍이나 과잉 없이 최적의 영양 균형을 유지하는 것이 중요하며, 이 시기의 영양 불균형은 장기적으로 개의 건강에 부정적인 영향을 미칠 수 있다. 이유 후 초기 급성장 단계(12~24주령)의 자견과 성견의 소화율에 대한 연구는 많이 수행되었으나, 자견 성장 후기 단계의 소화율에 초점을 맞춘 연구는 제한적이다. 따라서 본 연구는 비글의 성장 후기 단계를 대표하는 30주령과 42주령에서 주요 영양소와 아미노산의 외관상전장소 화율(apparent total tract digestibility, ATTD)을 비교하였다. 비글 8마리를 대상으로 AAFCO에서 제시한 영양소 요구량을 충족하도록 설계된 사료를 통제된 환경에서 2주간 급여하였으며, 전분채취법을 이용하여 소화율을 평가하였다. 성장률(GR)은 30주에 비해 42주령에서 유의미하게 감소하여 체중 증가 속도가 둔화되는 경향이 확인되었다. 주요 영양소 소화율 분석 결과, 조지방 소화율은 30주령에서 99.01 ± 0.10%에서 42주령에서 97.62 ± 0.15%로 통계적으로 유의미하게 감소하였다(p < 0.001). 또한, 건물 소화율 또한 조지방 소화율과 함께 주령 증가에 따라 유의미하게 감소하는 결과를 보였다(p < 0.05). 반면, 히스티딘 소화율은 30주령의 93.55 ± 0.46%에서 42주령의 94.83 ± 0.24%로, 라이신 소화율은 94.60 ± 0.24%에서 95.19 ± 0.19%로, 아르기닌 소화율은 95.78 ± 0.30%에서 96.43 ± 0.21%로 증가하였다(p < 0.05). 본 연구는 비글의 성장 후기 단계에서 성장률과 조지방 흡수가 감소한 반면, 특정 아미노산의 소화율이 개선되었음을 보여준다. 이러한 결과는 비글의 성장 후기 단계에서도 영양소 이용성이 변화할 수 있음을 시사하며, 성장 단계에 따라 정밀한 영양 관리의 중요성을 강조한다.

10년 동안 경남 진주에서 수행된 야외 노출 시험은 실외 접지 환경(H4)에서 Alkaline Copper Quaternary(ACQ)로 방부 처리된 화이트 스프루스 (Picea glauca)의 사용 가능성을 보여주었으나, 10년이 경과하면서 일부 목재 시편에서 목재 부후균에 의한 가해가 관찰되었다. 부후 원인을 종합적으로 평가하기 위해 야외 노출 시험을 종료한 후 목재 시편들의 부후 상태를 조사하였으며 또한 목재 시편 내 방부제 유효 성분의 보유량 및 침윤도를 측정하였다. 스프루스 방부목의 약제 보유량은 국내 방부목 품질 기준(보유량: 5.2kg/m3 이상)을 충족하였으며, 변재 부위는 대부분 균일한 방부 처리를 보였다. 그러나 심재의 경우 자상 처리에도 불구하고 국내 방부목 품질 기준에서 규정하고 있는 최소 침윤 깊이인 8 mm를 충족하지 못하였다. 대부분의 목재 부후는 할렬의 발생에 의해 방부 처리되지 않은 심재의 미처리 부위가 노출됨에 의해 발생하였으며, 토양과 접한 지접부에서 할렬 발생이 다른 부위에 비해 상대적으로 많았는데, 이는 지상부나 지하부에 비해 수분의 이동이 용이하여 목재의 수축과 팽창 발생이 용이하기 때문인 것으로 판단된다. 이상의 결과로부터 H4에서 스프루스 방부목은 자상 처리를 하더라도 방부제가 깊이 침투되지 않는 심재의 특성 때문에 10년 이상의 사용 안전성을 요구하는 산업적인 용도로는 적합하지 않다고 할 수 있다.

Volatile fatty acids (VFAs) are designated as offensive odor substances, and they are known for their strong polarity and adsorptive properties, which can lead to significant losses during sample collection and analysis. This study evaluates two analytical methods currently outlined in the odor process test standards, alongside an analytical system utilizing adsorption tubes and another system that uses ion chromatography (IC). Furthermore, suitable analytical methods were proposed for analyzing concentrations below the odor threshold and emission limits. When assessing SPME-GC/FID, SPME-GC/MSD, TD-GC/MSD, and IC based on the internal quality control standards specified in the process test standards, all methods were found to have met these criteria. The absolute injection amounts (1 atm, 25oC) satisfying the emission limits ranged from 3 to 95 ng, while those that met the odor thresholds ranged from 0.2 to 6.5 ng. Based on these criteria, analytical systems suitable for the specified concentration range and odor thresholds were identified. The results are as follows. 1. The analytical systems confirmed to be suitable for quantifying limits were TD-GC/ MS and IC. 2. In terms of recovery and precision, both TD-GC/MSD and IC were found to be suitable. 3. Regarding detection limits, both previously mentioned systems were satisfactory. 4. Finally, concerning quantitation limits, both systems were adequate; however, TD-GC/MSD slightly exceeded the odor threshold analysis range for propionic acid by approximately 1.5 ng. The odor thresholds for the four VFAs were converted to absolute quantities (1 atm, 25oC), confirming that the IC system met the following criteria: (1) calibration range and curve, (2) accuracy and precision, and (3) instrumental detection and quantitation limits.

Gynura bicolor is a medicinal plant recognized for its antioxidant potential and natural pigments. This study aimed to evaluate antioxidant activities and bioactive compounds’ contents of G. bicolor extracts and solvent fractions prepared using different drying methods and solvent partitioning. Ethanol extracts were obtained from freeze-dried (FD) and hot-air-dried (HD) samples, followed by sequential partitioning with n-hexane (n-Hex), methylene chloride (MC), ethyl acetate (EA), and n-butanol (n-BuOH). Total polyphenol (TP) and flavonoid (TF) contents were measured. Antioxidant activities were assessed via DPPH and ABTS radical scavenging assays. The FD-EtOH extract showed the highest TP (100.8±0.29 mg TAE/mL) and TF (4.72±0.03 mg QE/mL) contents. EA and n-BuOH fractions exhibited significantly higher antioxidant activity than other fractions, suggesting that bioactive compounds were effectively concentrated through selective solvent extraction. These findings indicate that drying and solvent fractionation can significantly affect antioxidant functionality and phytochemical yield. G. bicolor may serve as a promising natural antioxidant and pigment source for functional food and beverage development.

본 연구는 백두대간보호지역의 체계적 관리를 위한 관리효과성 평가지표를 개발하고자 하였다. IUCN-WCPA의 평가틀과 관리효과성 추적기법 (METT)을 기반으로 국내외 문헌과 사례를 분석하고, 텍스트 마이닝 기법을 통해 범주별 핵심 키워드를 도출하였다. 이후 산림 분야 전문가 8인을 대상으로 2회에 걸친 델파이 조사를 실시하여 평가지표의 타당성과 합의도를 검증하였다. 그 결과, 1차 조사에서는 CVR 기준 미달 항목 16개가 삭제되고, 2차 조사에서 2개 항목이 추가로 제외되었으며, 전문가 피드백을 반영하여 ‘지역사회 참여 구조’, ‘장비·시설의 유지 관리’, ‘침입종 피해 여부’ 등 현장 적용성이 높은 항목이 새로 포함되었다. 최종적으로 상황 4개, 계획 3개, 투입 4개, 과정 5개, 결과 4개, 성과 6개 등 총 26개의 평가지표가 도출되었으며, 전문가 합의도(0.83)와 수렴도(0.38) 수준에서 만족스러운 신뢰도를 확보하였다. 평가 대상자 유형별로는 관리담당 자 25개, 전문가 26개, 지역주민 4개 항목으로 차등 적용되도록 설계되었으며, ‘관리주체의 적합성’ 등은 전문가 전용 항목으로 구분하였다. 본 연구는 백두대간보호지역의 특성과 현장 문제를 반영한 실질적 지표 체계를 구축함으로써, 향후 법제화 기반 마련과 보호지역의 통합적·지속가능한 관리전략 수립에 기여할 수 있을 것으로 기대된다.