The 2024 Noto Peninsula Earthquake in Japan caused significant damage to wooden structures due to strong ground motion and widespread liquefaction. This study examines the damage patterns observed in wooden houses and analyzes the underlying structural vulnerabilities that contribute to these patterns. Key findings include standard failure modes such as foundation settlement, soft-story collapse, torsional deformation, and joint failure. The evolution of Japan’s seismic design standards has been reviewed, highlighting the importance of balanced wall distribution, reinforced connections, and lightweight roofing systems. Based on field investigations, this study systematically classifies the types of seismic damage in wood structures. It develops a qualitative performance curve that visually illustrates structural behavior in terms of inclination, seismic damage patterns, and repairability. Furthermore, a seismic damage taxonomy is proposed to infer the causes of damage through logical links between observed failure patterns and structural vulnerabilities. This research establishes a practical foundation for the seismic design and retrofit strategies of wood structures, ultimately contributing to the advancement of earthquake-resilient construction practices.

For estimating ground motion intensity measures on the surface from seismic sensors installed in structures, it is crucial to correct structural response effects embedded in the recorded signals. This study proposes a model for peak ground acceleration (PGA) amplification based on VS30, derived from multi-degree-of-freedom analysis. PGA amplification factor (AFPGA) is defined as the ratio of peak floor acceleration (PFA) of structures to PGA. The model includes three key input parameters: the natural period of the structures (Tn), the ratio of stories to the total number of stories in the structures, and the time-averaged shear wave velocity down to a depth of 30 meters. It is developed using 78 ground motion records from both domestic and international earthquakes. A LOESS smoothing technique is applied using 3 span values, with the optimal span of 0.1 is determined based on RMSE performance and an analysis of local trend characteristics in the dataset. The model is verified using empirical data from the CESMD global strong motion database, which includes classification by Tn into short, intermediate, and long periods. The results show that although the model tends to predict higher AFPGA values than those observed in real structures, it effectively reflects the overall amplification trends. This approach enables the pre-earthquake estimation of structural amplification, allowing for the use of seismic sensors installed in structures as a complementary monitoring network for seismic response.

This study analyzed the structural performance of a microalgae-based lightweight ecological integration system for large-span structures to achieve carbon neutrality. To address the load problems of existing soil-based ecological systems, a lightweight system utilizing microalgae bioreactors was proposed, and structural performance was evaluated for four types of large-span structures: truss, arch, dome, and cable structures. Structural analysis results through finite element analysis showed that the proposed system achieved a 70% load reduction effect compared to existing systems, with structural performance improvements including 35-40% reduction in maximum deflection, 30-35% reduction in maximum stress, and 25-30% increase in natural frequency. Environmental performance analysis confirmed CO₂absorption capacity of 12-18 kg per m² annually and PM2.5 reduction effects of 15-25%. Economic analysis results indicated that benefits of 3.95-6.7 million KRW per year are generated for a 1,000 m²reference area, creating cumulative benefits of 179.75-227.5 million KRW over 25 years. Verification through the German BIQ House case confirmed CO₂reduction performance of 6 tons per year for 200 m², demonstrating the practical applicability of the system. This study presented the potential of an innovative ecological integration system that can ensure structural safety of large-span structures while simultaneously contributing to carbon neutrality.

This study was intended to compare with seismic fragility assessments for a low-rise RC piloti structure using the Capacity Spectrum Method (CSM) and the Incremental Dynamic Analysis (IDA). Distribution-parameters were estimated using the Method of Moments (MoM) and the Maximum Likelihood Estimation (MLE). For given limit states defined by FEMA 356, two seismic fragility assessments yielded different medians and dispersions: the CSM produced steeper in the slopes of fragility curves with smaller dispersions, whereas the IDA captured wider response scatters and broader dispersions. When fitting the fragility curves, the MLE scheme provided to well match with the empirical cumulative distribution function(CDF) than the MoM scheme, which understated dispersions.

Machine learning (ML) techniques have been increasingly applied to the field of structural engineering for the prediction of complex dynamic responses of safety-critical infrastructures such as nuclear power plant (NPP) structures. However, the development of ML-based prediction models requires a large amount of training data, which is computationally expensive to generate using traditional finite element method (FEM) time history analysis, especially for aging NPP structures. To address this issue, this study investigates the effectiveness of synthetic data generated using Conditional Tabular GAN (CTGAN) in training ML models for seismic response prediction of an NPP auxiliary building. To overcome the high computational cost of data generation, synthetic tabular data was generated using CTGAN and its quality was evaluated in terms of distribution similarity (Shape) and feature relationship consistency (Pair Trends) with the original FEM data. Four training datasets with varying proportions of synthetic data were constructed and used to train neural network models. The predictive accuracy of the models was assessed using a separate test set composed only of original FEM data. The results showed that models trained with up to 50% synthetic data maintained high prediction accuracy, comparable to those trained with only original data. These findings indicate that CTGAN-generated data can effectively supplement training datasets and reduce the computational burden in ML model development for seismic response prediction of NPP structures.

이 연구는 한국 정부가 플랫폼(platform) 산업에 대한 이원적 접근을 추구한 원인과 그 과정을 설명하는 데 목적이 있다. 한국 정부는 2000년 대 이후 플랫폼 산업에 대하여 진흥과 규제를 동시에 추진하는 이원적 접근을 시행하였다. 이 과정에서 플랫폼 산업에 대한 규제 중심 접근의 확대라는 변화가 발생하였다. 이 연구는 과정 추적 접근법(process-tracing approach)을 활용하여 중대 분기점(critical juncture) 이후의 단계 내 변화를 설명하는 방식을 취한다. 즉, 2008년과 2014년을 두 개의 중 대 분기점으로 설정하고, 2008년~2013년과 2014년~2024년의 두 사례에 대한 ‘사례 내 분석(within-case analysis)’을 수행한다. 이 연구는 (1) 서비스(service) 부문을 포괄하는 플랫폼 산업의 특성이 이원적 접근을 촉진하였고, (2) 발전국가 모델 대 신자유주의 모델이라는 이분법을 넘어 서는 설명을 시도하며, (3) 규제 중심 접근이 확대되는 동태적 메커니즘 을 규명하였다는 점에서 이론적 시사점을 제공한다.

본 연구는 노인환자를 돌보는 요양병원이라는 특수한 환경에서 정서 적, 윤리적 요인이 간호업무수행에 미치는 영향을 분석하고자 요양병원 간호사의 공감역량과 윤리적민감성, 환자중심간호, 간호업무수행 간의 구 조적 관계를 파악하고, 간호업무수행 향상을 위한 이론적, 실무적 기초자 료를 제공하기 위해 수행되었다. 연구대상은 국내 요양병원간호사 230명 을 편의표집 하였으며, 연구결과로 모형 적합도는 χ²/df=165.517, CFI=.945, TLI=.928, RMSEA=.092로 양호하였으며, 공감역량은 윤리적민 감성(β=.478, p<.001)과 환자중심간호(β=.716, p <.001)에 유의미한 영향을 미쳤으며, 간호업무수행(β=.431, p <.001)에는 간접적으로 영향을 미치는 것으로 나타났다. 윤리적민감성은 간호업무수행(β=.188, p <.001)에, 환자 중심간호는 간호업무수행에 매개요인으로 작용하였다(β=.477, p <.001). 간호업무수행 향상과 환자중심간호를 실천하기 위한 간호인력 배치 기준 을 재정비하고, 다학제 팀의료 상호 협업 중심의 전인적인 돌봄 지원 체 계를 구축하는 것을 제시한다.

In this study, static and dynamic analysis verification was performed to apply the fuel cell system to the E-PTO of the Wire aerial vehicle. First, structural analysis was performed to improve the weak points that occurred. Next, vibration analysis was performed on the fuel cell system for which structural safety review was completed according to the wide-band irregular vibration test standard. The analysis results showed that resonance occurred in a specific frequency band and local stress was high, so stiffness reinforcement was performed. After reinforcing the stiffness, stress was reduced through a decrease in transient response characteristics and resonance phenomenon.

4차 산업혁명, AI, 학령인구 감소, 융복합교육 및 무전공 확대 등 급변하는 교 육 환경 속에서 국내 대학들은 교양교육 관련 전담 기관의 위상과 기능, 구조를 재정립하고 있다. 이러한 맥락에서 본 연구는 대학 교양교육의 체계적이면서도 탄 력적인 운영을 위한 거버넌스에 초점을 맞추어 관련 주요 현황 및 사례, 운영 유 형 및 발전 과제 등을 제시하였다. 2025년 3월과 8월, 대학 교양교육 거버넌스 운 영 현황을 조사하고 관련 문헌 및 자료 등을 검토하였다. 그 결과, 교양교육 거버 넌스의 유형은 크게 학부대학형, 칼리지형(교양대학 등), 교육혁신본부형, 교양교 육본부형, 총장직속학부형, 교양교육원형 등이 있었다. 이는 대학별로 교양교육 조직의 다양성을 보여주는 구조적 특징임을 알 수 있었다. 교양교육의 안정적 운 영을 위해서는 조직의 독립성 확보, 기관(장)의 위상 강화, 제도적 기반 구축, 교수 자 참여 확대 및 협력 거버넌스 등이 필요함을 확인하였다. 이와 함께, 대학의 전 략 및 학사 기획과 교양교육 조직 간의 연계 역시 중요함을 알 수 있었다. 본 연구 는 교양교육 거버넌스의 주요 현황과 쟁점을 정리하여 대학 교양교육의 질적 개선 과 발전 방안을 모색함으로써 향후 고등교육 정책의 실효성을 제고하는 데 대한 기초자료가 될 수 있을 것이다.

재래흑염소는 다른 품종과의 유연관계, 기원 분석, 외래교잡염소와의 유전적 구조 및 평가 같은 유전학적 연구는 현재 부족한 실정이므로 본 연구는 재래흑염소와 외래교잡염소의 유전적 구조 및 혼합 양상 분석을 위해 실시하였다. 11개의 Microsatellite (MS) marker를 활용하여 재래흑염소 261두, 외래교잡염소 94두의 대립유전자형을 분석하였으며, 이를 통해 기초통계량 및 유전적 구조 및 혼합 양상 분석을 수행하였다. 그 결과 연구에 활용된 marker의 유전적 다양성 기초통계량 결과 재래흑염소의 observed heterozygosity, polymorphism information content (PIC) 수치가 각각 0.388 ~ 0.772, 0.362 ~ 0.754이며, 외래교잡염소 집단의 observed heterozygosity, PIC 수치는 각각 0.553 ~ 0.840, 0.664 ~ 0.915로 확인되어, 유전적 다양성 분석을 수행하기에 충분한 수치를 나타내었다. 또한, 재래흑염소 주요 대립유전자형 빈도와 외래교잡염소의 주요 대립유전자형 빈도를 비교하였을 때, marker별 대립유전자형의 빈도 분포에서 뚜렷한 차이를 보여, 두 집단 간, 재래흑염소 계통 간 대립유전자형 의 빈도 분포로 인한 유전적 구조의 차이를 확인하였다. 그리고 STRUCTURE 결과, K = 2가 최적의 K로 계산되었으며, 재래흑염소와 외래교잡염소 간의 유전적 혼합은 존재하지 않는 것으로 판단되었다. 따라서 본 연구 결과는 재래흑염소의 고유성을 제시할 수 있는 과학적 근거자료이며, 재래흑염 소 계통 간의 식별을 위한 기초 자료로 활용 가능할 것이다.

본 연구는 고독사를 단지 개인의 말로가 아닌 사회적 관계의 해체와 경제적 취약성, 제도적 방기의 복합적 결과로 인식하고 이를 구조적으로 분석하고자 한다. 특히 고독사의 핵심 요인을 ‘사회적 연결성’과 ‘경제적 안정성’이라는 두 축으로 구분하여 2×2 매트릭스 분석틀을 제시하고, 이 에 따라 고독사 위험군을 네 가지 유형(사회적 자립형, 정서적 고립형, 구조적 취약형, 고위험 배제형)으로 유형화하였다. 각 유형별로 상이한 위험양상과 정책 사각지대를 도출하고, 이에 따른 맞춤형 정책 개입 전 략을 제안하였다. 본 연구는 사회적 자본 이론과 구조적 폭력 이론을 이 론적 기반으로 삼아 고독사의 본질을 분석하며, 고독사를 단지 복지의 문제를 넘어 정의와 돌봄의 윤리로 접근해야 함을 주장한다. 특히 ‘정서 적 고립형’과 ‘구조적 취약형’은 정책적 주목이 필요한 사각지대로 확인 되었으며, 고위험군에 대해서는 통합적 돌봄 체계와 공공 개입의 필요성 이 강조된다. 본 연구는 고독사 예방을 위한 실천적·정책적 대안 제시에 기여함으로써 공동체적 삶의 회복과 생명 존중 사회 구현에 기초자료를 제공하고자 한다.

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 %.

Silver nanoparticles (AgNPs) are promising photocatalysts with a broad light absorption range and high catalytic activity. However, conventional synthesis methods often involve toxic chemicals, limiting their environmental applicability. In this study, we developed an eco-friendly bio-templating method to synthesize hierarchical micro/nano-structured silver (MNAg) photocatalysts that uses plant leaves, including Nelumbo nucifera (lotus leaf), Rosa sp. (rose petal), and Limonium sinuatum (statice petal), as natural templates. By modifying the leaf surfaces with citrate functional groups, AgNPs were selectively formed along the microstructures of the templates, preserving their hierarchical morphology. MNAg photocatalysts were subsequently obtained through controlled calcination, and successfully retained the microscale structure of the original template. The surface morphology, chemical composition and crystalline structure of the MNAg were characterized using scanning electron microscopy (SEM), field-emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), and X-ray diffraction (XRD), confirming the successful formation of hierarchical AgNPs. The optical behavior of the MNAg, characterized with diffuse reflectance spectroscopy (DRS), demonstrated broadened absorption across the visible region, which is attributed to plasmonic coupling among the densely packed AgNPs, partially interconnected along the hierarchical surface. The photocatalytic performance of the MNAg materials was evaluated for methylene blue degradation under UV-Vis illumination. The MNAg derived from lotus leaves exhibited the highest photocatalytic efficiency. This study presents a sustainable route to hierarchical Ag photocatalysts, highlighting the potential of bio-inspired nanomaterials for environmental applications.

본 연구는 중소벤처기업부가 추진하는 정책사업인 로컬콘텐츠 중점대 학을 중심으로, 최근 2년간 온라인에서 형성된 담론의 구조와 사회적 수 용 양상을 소셜 빅데이터 분석을 통해 규명하는 데 목적이 있다. 이를 위해 네이버와 다음의 블로그, 뉴스, 웹문서 등 다양한 채널에서 수집한 데이터를 기반으로 텍스트 마이닝(단어빈도, TF-IDF, N-gram), 개체명 인식, 2-mode 매트릭스 분석, 감성 분석, CONCOR 분석, LDA 토픽모 델링 및 의미기반 클러스터링을 수행하였다. 분석 결과, ‘대학’, ‘콘텐츠’, ‘창업’, ‘지역’, ‘지원’ 등 핵심어를 중심으로 한 의미구조가 형성되어 있 었으며, 담론은 대체로 긍정적 정서를 포함하고 있었다. 또한 대학, 지역 기관, 중소기업 간 협력 네트워크가 주체별로 상이한 양상을 보이며 다 층적 실행 구조를 보여주었다. 본 연구는 로컬콘텐츠 중점대학의 사회적 인식과 정책적 함의를 담론 기반으로 조망함으로써, 향후 제도 설계 및 지역혁신전략 수립에 기초자료를 제공하고자 한다.

This study proposes a structured story generation system based on traditional narrative theory using a large language model (LLM). The proposed system sequentially constructs a three-act structure and a 15-step narrative structure of "Save the Cat!" based on the log line, character information, and genre input by the user, and each step is embodied through hierarchical generation and prompt chaining. In particular, when user modifications occur, the changes are designed to be automatically reflected in the upper and lower stages to maintain narrative consistency and logic. To verify the effectiveness of this system, human-written narratives, single-prompt-based generative narratives, and generative narratives from the proposed system were compared and evaluated, yielding excellent results in terms of narrative structure fidelity and logic. By demonstrating the structural controllability of LLM-based story generation, this study suggests applicability in the field of digital content production in the future.

본 연구는 정정렬제 춘향가 전승 과정에서 나타난 변화 양상을 사설의 선율과 리듬 구조 중심으로 고찰하였다. 정정렬과 그의 직계 제자 김여 란 그리고 최승희로 이어지는 소리 중 ‘어사와 장모’를 분석하고자 했다. 정정렬 소리는 신나라 레코드사에서 발매한 SP복각본, 김여란 소리는 지 구레코드사에서 나온 음반을 채보하였으며, 최승희 소리는 그가 펴낸 ‘정 정렬제 춘향가 악보집’을 기반으로 3인의 소리를 비교 분석하였다. 분석 결과 첫째, 사설의 리듬 구조는 3소박과 2소박 그리고 혼용 리듬형 등 여러 분박 구조를 보이고 있으며, 정정렬은 분박 구조에서 비슷한 비율 을 보이는 반면, 김여란과 최승희에서는 2소박 계열의 두드러짐이 나타 났다. 둘째, 선율 구조는 악조에 있어서 김여란과 최승희는 계면조와 평 조에서 같은 청을 유지하는 데 비해 정정렬은 평조 대목에서 3차례 중심 음 변화가 보였다. 이러한 연구 결과를 토대로 정정렬제 판소리의 여러 다양한 대목들에 대한 폭넓은 분석도 논할 것을 제언하였다.

This study numerically investigated thermal-structural characteristics of a liquefied hydrogen (LH) storage cylinder with varying inner pressures and surrounding temperatures. A thermal-structure coupled analysis approach was used to predict the thermal-structural characteristics of the LH storage cylinder. For the simulation, the shape of the LH storage cylinder was simplified using SUS 316L and Carbon Fiber Reinforced Plastic (CFRP) materials. As a result, the inner pressure was a crucial factor determining the structural property (i.e., stress and deformation) of the LH storage cylinder. The high pressure led to increased stress and deformation. Additionally, the surrounding temperature affected the stress and deformation of the LH storage cylinder. For example, at a high surrounding temperature, the temperature gradient along the cylinder increased, thereby causing the occurrence of thermal stress. However, this temperature effect on the stress was negligible compared to the effect of inner pressure. The findings of this study will provide meaningful data for improving the structural safety of LH storage systems.

This study implements a high-precision camshaft profile grinding system by retrofitting the C-axis and X-axis structures of an existing cylindrical grinding machine and integrating CNC variable monitoring and control functions based on the manufacturer-provided Programming Package. The original inverter-driven C-axis was replaced with a servo motor to enable precise angular positioning, while a linear scale was additionally applied to the X-axis to establish a closed-loop system capable of high-precision infeed control. Changes in the grinding wheel diameter due to dressing are compensated by real-time monitoring of internal CNC variables, enabling regeneration of the profile grinding program to prevent degradation of form accuracy. Perfomance evaluation showed that the camshaft profile accuracy was maintained within ±4 μm, and the consistency of the profile was sustained within ±2.5 μm over repeated grinding cycles. This study presents a practical technological foundation for converting cylindrical grinding machines into profile grinders capable of precision machining of non-circular components such as camshafts.

In this study, in order to identify the vibration characteristics of the process control cabinet, as a basic study for evaluating the seismic performance of nuclear power plant structures, a cabinet vibration test equipment, sliding base, and measurement system were constructed. The reliability of the base was verified by utilizing ODS and phase data to determine how the cabinet deforms under seismic conditions. In addition, the cabinet was subjected to excitation frequencies from 8 Hz to 15 Hz in order to examine the changes in the natural frequency of the cabinet according to the two types of sliding base motion and the cabinet door open/close status. The vibration characteristics of the empty cabinet were investigated experimentally to examine the cabinet excitation characteristics and changes in natural frequency. Since the structural rigidity of the cabinet changes depending on the excitation conditions and door opening/closing, the natural frequency and response size of the cabinet change. Since the door opening is a condition that greatly amplifies the cabinet vibration response, it causes structural defects and greatly affects the changes in natural frequency.

In this study, the design of shock tower mounting, a type of shock absorber mounting for four-wheel drive vehicles, was addressed through structural analysis. In the case of existing shock tower mounting components, cracks occurred in the shock tower frame side weld joints, so the maximum stress should be reduced to extend the life of the designed components. Based on this, various design changes were performed on the shock tower mounting components, and the maximum stress generated through structural analysis of each design change model was compared. For the structural analysis, a load of 40,000 N was applied in the axial direction of the shock absorber, and the results were relatively analyzed and compared. As a result of the analysis of the shock tower mounting components through the design change, Case 3, a model that alleviated the stress concentration applied to the body mounting, increased the strength compared to the existing model, and the stress in the shock tower frame side weld joints was reduced by 16.3%.