This study proposes a method to improve the seismic performance of a stacked stone pagoda by applying a Ball Vibration Absorber (BVA) with a non-fixed connection. The governing equations of motion were derived by analyzing the structure's primary failure mode under seismic excitation and sliding behavior, and a numerical model was constructed. To verify the model's reliability, a shaking table experiment with a two-layer rectangular block structure was conducted, and the experimental results were compared with numerical simulations. Based on the validated numerical model, both artificial and real earthquake records were used for parametric analyses to determine the optimal design parameters that maximize the damping efficiency of the BVA system. The main findings of this study are as follows. First, when the difference between the rolling path radius and the ball radius is small, the damping performance of the BVA decreases. Still, this effect becomes negligible once the difference exceeds a certain threshold. Second, when the friction coefficient between the BVA container and the target structure is small, the non-fixed connection type exhibits superior damping performance; as the friction coefficient increases, its performance converges to that of the fixed connection type. Third, the damping performance of the BVA improves significantly as the mass of the ball increases. Fourth, the damping efficiency of the BVA is inversely proportional to the amplitude of seismic acceleration. However, its performance slightly weakens under strong ground motions; it still maintains a stable damping capacity.

The growing global demand for Agaricus bisporus has focused on automated harvesting systems, prompting the adoption of artificial intelligence to enhance precision and efficiency. This study aimed to prove the possibility of automated analysis for mushroom phenotypic traits including pileus diameter and color parameters (L*, a*, b*) by using AI model, YOLOv11-seg. Mushroom images were obtained in custom-designed imaging chamber and image training was processed using YOLOv11-seg. By achieving an mAP50 of 0.96, model demonstrated high detection and segmentation performance with stable predictive behavior. To evaluate biological validity, predicted phenotypic traits were compared with mechanically measured values. Pearson correlation coefficient analysis showed that the correlation coefficient for chromaticity was above 0.69, while the correlation coefficient for shoulder diameter was very low at 0.03. Linear regression analysis showed correlations above 0.69 for all phenotypic traits, indicating that the model analysis reflected the actual measurement variation well. Mean absolute error (MAE) analysis showed less than 10% error of 1.32, 2.43, 0.55, and 0.90 in pileus diameter, L*, a*, and b*, respectively, resulting in significant model accuracy. Based on these results, YOLO-based estimation of pileus area was processed to prove the model’s capacity to extract phenotypic traits beyond the limits of traditional analysis. These results indicate that AI models including YOLOv11 show the possibility of the automated growth monitoring for the next-generation smart cultivation systems.

This study aims to evaluate the high-precision positioning capability and lane-level localization accuracy of low-cost RTK-GNSS(Real- Time Kinematic Global Navigation Satellite System) technology. This study compares the positioning accuracy and lane-level localization performance of a low-cost RTK-GNSS module with those of a commercial high-precision receiver under identical conditions. Specifically, the root-mean-square, lateral offsets from HD-map(High-Definition Map) lane centerlines, and lane-change detection rates were evaluated to examine the applicability of the module to advanced mobility systems. Based on experiments conducted using a two-axis linear motion device and actual-vehicle tests on expressways, the low-cost RTK-GNSS module demonstrated precision positioning and lane-level localization comparable to that of a commercial high-precision receiver under the same test conditions. In the precision-positioning evaluation, the maximum positioning error of the low-cost module is approximately 2 cm, which is larger than that of a commercial receiver. Nevertheless, its average error generally remained within the typical range of 1–2 cm, which is the expected range for fixed RTK solutions in opensky environments. Furthermore, the difference in the lane-level localization accuracy between the low-cost and high-precision modules remained at approximately 1 cm. Although the low-cost RTK-GNSS module employs fewer receiver channels compared with commercial high-precision units, the integration of the RTK-OMEGA solution, which supports robust integer ambiguity resolution and is a key element of RTK correction, enables it to perform comparably to a commercial module under identical test conditions. The performance-evaluation indicators and methodologies presented herein are expected to provide a meaningful foundation for future studies aimed at ensuring the reliability and safety of cost-effective RTK-GNSS technologies.

This paper proposes an Adjustable Circular Steel Connector(ACS) to enable immediate response to construction errors that may occur during the on-site assembly of modular members. To evaluate its flexural performance, one rectangular steel tube beam specimen without ACS and three specimens with ACS(with varying ACS lengths) were fabricated. Experimental results showed no pull-out occurred between Shank A and Shank B, and the application of ACS facilitated stress distribution in the rectangular steel tube. The specimens with ACS exhibited up to 92% of the maximum load capacity of the monolithic specimen, and showed increasingly ductile behavior as the ACS length increased. Due to the cross-sectional difference between Shank A and Shank B within the ACS, yielding was observed in Shank B. Further studies are needed on this part, as well as on the behavior of the ACS under cyclic loading conditions.

본 연구는 철근 부식 문제의 대안으로 주목받는 섬유보강폴리머(FRP) 보강 콘크리트 구조물의 성능을 통합적으로 평가하고 최적 설계 기준을 제시하기 위해 메타분석을 수행하였다. 부착, 휨, 압축 성능을 다룬 선행 연구 6편에서 도출된 355개의 정량적 데이 터 셋을 종합하여, 개별 연구에서는 파악하기 어려운 설계 변수 간의 상호작용과 성능의 임계 조건을 규명하였다. 분석 결과, 특정 조건에서 FRP 보강 부재의 성능이 오히려 철근콘크리트(RC)보다 저하되는 ‘성능 전이 현상’을 최초로 정량화하였다. 휨 부재에서는 보강비(ρ)에 따라 요구되는 최소 탄성계수(      )를, 압축 부재에서는 RC 대비 성능 우위를 확보하기 위한 임계 보강비 (  )와 최소 콘크리트 강도(  40MPa)를 제시했다. 또한, 기둥의 취성파괴 위험을 설계 초기 단계에서 정량적으로 평가할 수 있는 ‘취성파괴 위험지수(BFRI)’를 개발하여 안전성 검증을 위한 새로운 척도를 제안했다. 본 연구의 성과는 기존의 정성적 지침을 넘어, 실무 설계자가 FRP의 성능을 극대화하고 취성파괴 위험을 체계적으로 관리할 수 있는 정량적 설계 프레임워크를 제공한다는 점에서 중요한 의의를 가진다.

Recently, fire evacuation problems in high-rise buildings have been increasing due to increased occupant density and limited evacuation routes, leading to increased casualties. To address this issue, this study proposes a distributed evacuation performance evaluation method that considers floor-by-floor distribution ratios. Using FDS+EVAC-based simulations, various floor-by-floor distribution scenarios were designed and their impact on evacuation times and bottlenecks was quantitatively analyzed. The results confirmed that rationally adjusting the floor-by-floor exit and elevator utilization ratios shortened overall evacuation times and reduced congestion in specific areas. This method can serve as a foundation for establishing evacuation plans and fire safety design standards for high-rise buildings.

This study focuses on the issue of premature failure in patched sections of asphalt concrete overlays during the service life of existing concrete slabs. These failures are typically exacerbated by extreme weather and heavy traffic. To overcome the low durability and moisture susceptibility of conventional patching materials, the applicability of the GA (Guss Asphalt) mixture, which is known for its excellent waterproofing and adhesion properties, was investigated. Additionally, the fundamental performance characteristics of GA, including its initial stability, moisture resistance, porosity, and plastic-deformation resistance, were evaluated. In this laboratory study, the stability, flow value, and porosity (V a) of six types of pavement patch materials (including GA/MA (Mastic Asphalt), HMA (Hot Mix Asphalt), and CMA (Cold Mix Asphalt) mixtures) were evaluated under various initial curing conditions (3–48 h) and environmental conditions (air and water at 25 °C). Additionally, a wheel tracking test was performed in air conditions at 25 °C to compare and analyze the dynamic stability and plastic-deformation resistance. The results show that GA exhibited the highest stability under all conditions. Its stability increased significantly after 48 h of curing in water, thus demonstrating its superior moisture resistance compared with that of HMA, whose stability decreased significantly. Porosity analysis indicates that the GA/MA mixtures (GMA, PMA, and PGMA) exhibited low porosity (< 1%) and high saturation (> 97%), thus confirming a dense pore structure. Furthermore, the results of the wheel tracking test show that the HMA and GA mixtures exhibited the highest dynamic stability under both 24- and 48-h curing durations. In particular, the GA mixture showed the smallest rutting depth (0.9–1.0 mm), thus indicating its superior resistance to plastic deformation. By contrast, the CP-A mixture showed the largest rutting depth (32.5–38.4 mm), thus indicating the greatest susceptibility to plastic deformation, whereas the CP-B mixture exhibited relatively stable performance with a rutting depth of 5.4–5.6 mm. In general, the GA/MA mixtures exhibited the best performance in terms of long-term stability (48 h of curing), moisture resistance, and plastic-deformation resistance compared with conventional HMA and CMA (CP-A and CP-B) mixtures. GA mixtures are considered the optimal alternative for road patching and repair owing to their excellent moisture resistance and plastic-deformation resistance at 25 °C. However, their field application requires consideration of various environmental conditions, thus necessitating further comprehensive investigations into their crack resistance, adhesion, and plastic-deformation behavior.

본 연구에서는 실험실 규모의 혈액투석 실험 장치를 구성하고 polysulfone (PS) 중공사막과 polyethylene terephthalate (PET) 소재의 모노 및 멀티 스페이서 얀(spacer yarn)을 적용한 5 종류의 소형 혈액투석 모듈을 제작하여 스페이서의 존재가 혈액투석 모듈에 미치는 영향을 확인하였다. 수투과도 측정 결과에서 스페이서가 없는 모듈의 flux가 가장 높은 것으 로 확인되었으나, 이는 스페이서를 적용한 모듈의 막표면적이 감소한 원인으로 분석된다. 반면, 요소(urea) 제거 실험에서는 스페이서 적용 여부와 종류에 따른 성능 차이가 뚜렷하게 나타났으며, 스페이서가 내부 유동 균일화에 기여함으로써 확산 저 항을 감소시키는 효과가 확인되었다. 특히 모노 스페이서를 10 wt% 적용한 모듈은 낮은 막표면적에도 불구하고 혈액투석 실 험 3 h 경과 시점에서 약 67.99%의 요소 제거율을 기록하여, 스페이서를 적용하지 않은 모듈(62.75%) 대비 약 5.24% 높은 요소 제거 효율을 나타냈다.

본 연구에서는 α-Al2O3 중공사 지지체 위에 γ-Al2O3, SiO2 산화막 및 Pd 금속막을 각각 증착하여 수소 분리막을 제작하고, 암모니아 열분해 반응 후 생성되는 혼합기체(H2, N2, NH3)에 대한 투과 성능을 비교⋅분석하였다. scanning electron microscope과 atomic force microscope 분석 결과, 산화막 코팅을 통해 표면 조도가 크게 개선되어 Pd 무전해도금 시 결 함 억제에 기여할 수 있음이 확인되었다. 기체투과실험은 450°C, 0.5~2.0 barg 조건에서 수행되었으며, 산화막 기반 분리막은 기공 투과 메커니즘에 의해 최대 수소 순도가 82%에 머무른 반면 금속막 기반 분리막은 용해–확산 기반의 bulk diffusion 메 커니즘을 통해 97% 이상 순도의 수소를 안정적으로 분리하였다. 특히 Pd/α 중공사막은 2 barg에서 15 mL/min 이상의 수소 flux와 1900 이상의 H2/NH3 seperation factor을 기록하며 산화물 기반 분리막보다 월등한 성능을 보였다. 결론적으로 산화물 막은 단독 분리 성능은 제한적이지만 Pd 증착을 위한 전처리 및 중간층으로서 유효함이 확인되었으며, Pd 중공사막은 고온 수소 정제 공정에 가장 적합한 선택지임을 입증하였다.

This study was conducted to improve the stability of small barges used for remote bird monitoring at Capsosiphon fulvescens aquaculture farms. The monitoring accuracy is compromised by rolling and pitching motions induced by waves and wind. To address this problem, a damping system was developed to enhance barge stability. Field experiments were conducted at a farm to evaluate the effectiveness of the developed damping system. The rotational motions of the barge, with and without the damping system, were measured using a six-axis gyroscope sensor. The measurements were conducted at the Capsosiphon fulvescens farm located in Cheokchan-ri and Deokdong-ri, Gogeum-myeon, Wando-gun, Jeollanam-do across two periods: from October 5, 2024 to December 17, 2024 (Damping without) and from February 19, 2025 to April 15, 2025 (Damping with). The collected data were validated against wind speed records from the Korea Meteorological Administration. The results demonstrated that the damping system effectively reduced barge motion. Within a wind speed range of 0.1-9.0 m/s, the system achieved an average reduction of 7.11% in rotational motions. Its maximum performance was recorded at approximately 7.0 m/s wind speed where it achieved a reduction of 23.35%. These findings confirm the system significantly enhances barge stability and improves monitoring reliability.

Current seismic design provisions prohibit the use of a weak panel zone from using special moment frame (SMF) connections due to concerns that large deformations in these zones may lead to brittle connection failures. However, several experimental studies have demonstrated that moment connections with weak panel zones can exhibit adequate ductility and energy dissipation capacity for SMF connections. This study aims to investigate the impact of weak panel zones on the seismic performance of SMFs utilizing welded unreinforced flange-welded web (WUF-W) connections, as outlined in AISC 358-22. The analysis will consider both four-story and twelve-story SMFs. Each frame will be modeled with either strong or weak panel zones. The findings indicate that SMFs with weak panel zones demonstrate greater ductility and collapse strength compared to their counterparts with strong panel zones.

This study compared the physical properties and catch performance of gillnets made from biodegradable PBEAS (butylene succinate-co-adipate/terephthalate-co-ethylene succinate) resin with those of conventional PA (polyamide) gillnets in coastal gillnet fisheries targeting Pampus argenteus. Mechanical tests showed that PBEAS nets showed tensile strength and elongation similar to PA nets. In field trials, the total catch weight of PBEAS nets (596.6 kg, 261 individuals) was slightly higher than that of PA nets (535.1 kg, 248 individuals). The catch of Pampus argenteus was also greater in PBEAS nets with increases of approximately 51.0% in number and 35.8% in weight although the difference in total catch weight between the two net types was not statistically significant (Wilcoxon signed-rank test, p = 0.25). The size distribution of Pampus argenteus ranged from 12 to 28 cm fork length (FL) for both nets, with PBEAS nets showing more individuals particularly in the 16 – 20 cm range. Bycatch patterns were similar between the two gears where Chelidonichthys kumu, white Argyrosomus argentatus, and Zeus faber identified as dominant species. These findings clearly demonstrate the practical potential of PBEAS biodegradable gillnets and highlight their promise as an alternative to PA nets for promoting sustainable fisheries.

전기추진 선박의 추진축계 이상상태는 심각한 선박 운항 장애를 초래할 수 있으므로, 추진 시스템의 상태를 정확히 진단하고 사전에 예방 유지보수를 수행하는 Prognostics and Health Management(PHM) 기술의 필요성이 증가하고 있다. 본 연구에서는 전기추진 선박 의 추진축 이상상태를 조기에 감지하고 진단하기 위하여 진동 데이터를 기반으로 한 머신러닝 기반 PHM 시스템의 개발과 성능 평가를 수행하였다. Land-Based Testing System(LBTS) 시스템에서 수집된 정상 상태와 축 정렬 이상 상태(0.5 mm, 1.0 mm, 1.5 mm)의 진동 데이터를 활용하여 데이터 전처리 및 특성 추출을 수행하였다. 연구에서는 Fully Connected Neural Network(FCNN) 및 Convolutional Neural Network(CNN)을 적용하여 이상 상태를 진단하는 모델을 개발하고 비교 분석하였다. FCNN 기반 모델은 단순한 구조로 빠른 학습이 가능 하여 실시간 모니터링에 적합한 반면, CNN 모델은 미세한 상태 변화를 효과적으로 탐지하는 데 탁월한 성능을 보였다. 성능 평가 결과 FCNN 모델은 평균 95% 이상의 정확도를 나타냈으며, CNN 모델은 이보다 더욱 향상된 성능을 제공하였다. 본 연구를 통해 개발된 진동 기반 PHM 시스템은 전기추진 선박 추진축 이상상태를 효과적으로 조기에 진단할 수 있는 능력을 입증하였다. 이러한 연구 성과는 전기 추진 선박의 안전하고 효율적인 운항을 위한 신뢰성 높은 유지보수 전략 수립에 중요한 기여를 할 것으로 기대된다. 향후 연구로는 데이 터 품질 개선 및 추가적인 딥러닝 모델 적용을 통한 성능 향상을 목표로 한다.