Existing reinforced concrete buildings with seismically deficient columns experience reduced structural capacity and lateral resistance due to increased axial loads from green remodeling or vertical extensions aimed at reducing CO2 emissions. Traditional performance assessment methods face limitations due to their complexity. This study aims to develop a machine learning-based model for rapidly assessing seismic performance in reinforced concrete buildings using simplified structural details and seismic data. For this purpose, simple structural details, gravity loads, failure modes, and construction years were utilized as input variables for a specific reinforced concrete moment frame building. These inputs were applied to a computational model, and through nonlinear time history analysis under seismic load data with a 2% probability of exceedance in 50 years, the seismic performance evaluation results based on dynamic responses were used as output data. Using the input-output dataset constructed through this process, performance measurements for classifiers developed using various machine learning methodologies were compared, and the best-fit model (Ensemble) was proposed to predict seismic performance.

해상에서의 안전한 의사소통은 선박 운항의 핵심 요소로, 국제해사기구(IMO)는 SMCP(Standard Marine Communication Phrases)를 제정하여 선내외 교신에서 활용할 수 있도록 하였다. SMCP를 포함한 해사영어는 효과적이고 정확한 의사소통을 위해 일반 영어와는 다 른 문법적, 어휘적, 구조적 특성을 반영하고 있으며, 간결성과 명확성에 초점이 맞추어져 표준화되어 있다. 이러한 맥락에서 본 연구는 상 용 LLM 모델의 해사영어 활용 능력을 PHP Text Similarity 알고리즘과 BERT 기반 모델을 활용하여 평가하였다. 먼저 ChatGPT, Google Gemini, Meta LLaMA 3 70B Instruct 모델을 대상으로 SMCP 기반 문장 구성, 용어 정의, 빈칸 채우기 문제를 포함한 총 60문항을 활용하여 성능을 비교 분석하였다. 이후 해사고등학교 학생들의 시험 결과와 LLM 모델의 결과를 비교하여, LLM이 실제 해기사 교육 수준과 비교 했을 때 어느 정도의 해사영어 이해 및 문장 구성 능력을 갖추었는지 평가하였다. 대체적으로 LLM 모델들은 높은 정답률을 보였으나, 표 준화된 문구를 정확하게 활용하거나 관용적으로 사용되는 해사영어 표현을 이해하고 적용하는 데 한계점이 있음을 확인하였다. 본 연구 는 해기교육기관 및 실무 현장에서 상용 LLM 모델의 해사영어 활용 가능성을 평가하는 기초 자료로 활용될 수 있을 것으로 기대되며, 향 후 보다 정교한 모델을 대상으로 추가연구가 필요하다.

This study evaluated the short- and long-term prediction performances of a transformer-based trajectory-forecasting model for urban intersections. While a previous study focused on developing the basic structure of a transformer model for future trajectory prediction, the present study aimed to determine a practical prediction sequence length. To this end, multiple transformer models were trained with output sequence lengths ranging from 1 s to 10 s, and their performances were compared. The trajectory data used for training were generated through a microscopic traffic simulation, and the model accuracy was assessed using the metrics average displacement error (ADE) and final displacement error (FDE). The results demonstrate that the prediction accuracy decreases significantly when the output trajectory length exceeds 3 s. Specifically, straight-driving trajectories exhibit rapidly increasing errors, while turning trajectories maintained a relatively stable accuracy. In contrast, for turning-driving trajectories, prediction errors increased sharply during short-term forecasting, but the increase was more gradual in long-term forecasts. Additionally, the long-term prediction models produced higher errors even in the initial 1-second outputs, implying a tendency toward conservative inference under uncertain future scenarios. This conservative behavior is likely influenced by the model’s effort to minimize the overall loss across a broader prediction window, especially when trained with Smooth L1 loss function. This study provides practical insights into model design for edge-computing environments and contributes to the development of reliable short-term trajectory prediction systems for urban ITS applications.

A total of 225, 3 weeks old weaned pigs of the Landrace × Yorkshire × Duroc breeds with initial average body weight (BW) of 6.25±0.6 kg were randomly assigned to 3 different treatments based on their BW, with each having 5 replicates. Each replicate contained 15 pigs, resulting in 75 pigs per treatment group. The treatment included a basal diet (CON), CON + allicin and cinnamaldehyde mixture 500 ppm (ALI), CON + Bacillus-based probiotics 500 ppm (PRO) tested for 42 days in a 3-phase feeding program (0–14 as phase 1, days 15–28 as phase 2, and days 29–42 as phase 3). Result shows final BW (6.3%) and average daily gain (9.0%) in the overall phase were higher (p<0.05) in PRO compared with CON. At d 14, the level of Escherichia coli was lower (p<0.05) in ALI (12.0%) and PRO (13.2%) over CON. At days 28 (14.6%) and 42 (12.8%), the level of Escherichia coli was lower (p<0.05) in PRO compared with CON. The level of tumor necrosis factor-α was lower (p<0.05) in PRO over CON (15.0%). Superoxide dismutase (9.2%) and immunoglobulin A (19.4%) were higher (p<0.05) in PRO over CON. We concluded that dietary PRO at 500 ppm showed better performance in piglets by enhancing their growth performance and health.

산업 발전에 따라 도로 연장이 지속적으로 증가하면서 폐 아스팔트 발생량이 늘어나자, 국내에서는 순환골재를 의무적으로 사 용하도록 관련 규정을 마련하였다. 현장 플랜트에서 순환 아스팔트 혼합물을 생산할 때 재생첨가제를 투입해야 하는 경우, 국 토교통부 “아스팔트 콘크리트 포장 시공 지침“에서는 재생첨가제와 아스팔트를 동시에 투입하도록 명시하고 있다. 그러나 혼합 시간이 부족하거나 혼합 과정이 불량할 경우, 재생첨가제가 균일하게 분산되지 않아 혼합물 품질이 저하될 우려가 있다. 이에 본 연구에서는 기존의 건식 혼합 방식에서 발생하는 문제점을 해소하고자, 아스팔트 플랜트의 Pre-Mixer를 활용하여 아스팔트 바인더와 첨가제를 사전에 혼합하고, 혼합 시간을 달리한 시료를 추출하여 DSR(Dynamic Shear Rheometer) 장비를 통한 MSCR 시험을 수행하였다. 그 결과, 혼합시간이 증가함에 따라 Jnr 값은 증가하고, %Recovery 값은 감소하는 경향이 확인되었 으며, 혼합 시간이 바인더 특성 변화에 유의미한 영향을 미치는 것을 확인하였다. 추가적으로 t-검정을 통해 이러한 경향의 통 계적 유의성을 검증한 결과, Jnr 값은 3-5분, 7-9분, %Recovery 값은 1-3분, 3-5분, 7-9분 구간에서 p값이 0.05 이상으로 나타 나 통계적으로 유의미한 차이가 없었다.

Structures compromised by a seismic event may be susceptible to aftershocks or subsequent occurrences within a particular duration. Considering that the shape ratios of sections, such as column shape ratio (CSR) and wall shape ratio (WSR), significantly influence the behavior of reinforced concrete (RC) piloti structures, it is essential to determine the best appropriate methodology for these structures. The seismic evaluation of piloti structures was conducted to measure seismic performance based on section shape ratios and inter-story drift ratio (IDR) standards. The diverse machine-learning models were trained and evaluated using the dataset, and the optimal model was chosen based on the performance of each model. The optimal model was employed to predict seismic performance by adjusting section shape ratios and output parameters, and a recommended approach for section shape ratios was presented. The optimal section shape ratios for the CSR range from 1.0 to 1.5, while the WSR spans from 1.5 to 3.33, regardless of the inter-story drift ratios.

Sequential zone picking is an order picking method designed to enhance warehouse efficiency by dividing the storage area into multiple zones and picking items in a sequential order across these zones. Picked items are often placed in dedicated totes and transported between zones using a conveyor system, which manages the picking flow but can occasionally result in inefficiencies during the process. This study presents a variant of the sequential zone picking system, called a dual-lane zone picking system (DZP), which consists of two parallel conveyor lanes without buffers between consecutive zones. This conveyor configuration allows the picker in each zone to alternate processing between the two lanes, thereby lessening the constraints of tote transitions between zones and improving both system throughput and picker utilization. We design and conduct a series of experiments using a discrete-event simulation model to evaluate the performance of DZPs. The experiment results indicate that DZP surpasses the original single-lane zone picking system by shortening the system’s mean flow time in low flow intensity scenarios and achieving a higher maximum throughput and worker utilization in high flow intensity scenarios. Additionally, we investigate the effects of the number of zones and order batching size on the performance of DZP to gain further insights into the system’s operational control.

This study explores the application of Blade Element Theory (BET) to predict the aerodynamic performance of three-dimensional propellers, addressing the computational challenges associated with traditional methods like moving mesh and Multiple Reference Frame (MRF). By utilizing two-dimensional flow analysis to compute lift and drag coefficients, this approach enables rapid and efficient aerodynamic performance predictions with significant reductions in computational time. Comparative analysis with three-dimensional simulations reveals BET's accuracy, with thrust predictions showing slight overestimation at higher RPMs. Findings highlight BET's potential for preliminary propeller design, particularly for low-solidity, low-speed applications. This method provides an efficient alternative for optimizing propeller performance in electric vertical takeoff and landing (eVTOL) systems, pivotal for advancing Urban Air Mobility (UAM) solutions.

해운 산업은 탄소 배출 저감을 위한 다양한 기술적 해결책을 모색하고 있으며, 그중 암모니아(NH3)는 차세대 무탄소 연료로 각 광받고 있다. 암모니아는 이산화탄소(CO2)를 배출하지 않으며, 기존 인프라를 활용해 대규모 운송 및 저장이 가능하다는 장점이 있다. 본 연구는 암모니아를 수소(H2)로 개질하여 연료전지에 공급하고, 이를 통해 전력을 생산하는 하이브리드 전기 추진 시스템의 성능을 평가하 였다. 암모니아-수소 개질기, 수소 연료전지, 배터리로 구성된 이 시스템은 친환경적인 추진 방식이다. 경사 시험(Heel test)은 선박이 실제 항해 중에 겪을 수 있는 10도 경사 상황에서 시스템이 안정적으로 작동하는 평가하기 위해 수행되었다. 시험 결과, 암모니아 개질기는 경사 조건에서도 안정적으로 수소를 생산하였다. 연료전지와 배터리가 결합된 하이브리드 시스템은 부하 변동 상황에서도 효율적으로 전력을 관리하고 안정적인 전력 공급을 유지했다. 특히 경사 상태에서도 시스템 성능 저하 없이 연료전지와 배터리 전력, 전류, 전압의 상호작용이 원활하게 이루어졌음을 확인할 수 있다. 본 연구는 향후 친환경 선박의 핵심 기술로 자리 잡을 수 있는 암모니아 기반 추진 시스템의 안정 성과 성능을 실험적으로 검증하였다는 점에서 그 의미가 있으며, 따라서 본 연구 결과는 해운 산업에서 암모니아 기반 추진 시스템의 사용 화 가능성을 높이는 중요한 기초 자료를 제공할 것으로 기대된다.

고체전해질은 높은 에너지 밀도와 안전성을 갖춘 차세대 리튬이온전지에 꼭 필요한 핵심 요소다. 이러한 고체전 해질의 제작을 위해서 기존 고체전해질의 낮은 이온전도도와 높은 계면저항 문제를 해결해야 한다. 본 연구에서는 강화된 이 온 전도성과 계면 안정성을 지닌 PVDF-HFP 고분자에 분산된 Li7La3Zr2O12 (LLZO) 나노와이어 복합체를 기반으로 하는 새 로운 전해질(PVDF-HFP/LLZO/SN, PHLS membrane)을 제안한다. PHLS에 용매 열압착(Sovlent heat press, SHP)을 통해 계 면 저항과 내부 공극이 감소된 PHLS-(SHP)는 30°C에서 2.06 × 10-4 S/cm의 높은 이온 전도도, 4.5 V (vs. Li/Li+)의 넓은 전 기화학적 전위 창, 리튬 금속과 전해질 사이의 안정된 계면 안정성을 나타냈다. 0.2 mA/cm2에서 수행된 Li 대칭 셀을 사용한 전기화학적 테스트에서 150 시간 이상 안정성을 유지하는 것으로 확인되었으며, 이는 당사의 복합 기반 고체 전해질을 활용 하여 전기화학적 성능이 향상되었음을 시사한다.

Performance-Based Seismic Design (PBSD) is an approach that evaluates how structures will perform under different levels of seismic activity. It focuses on ensuring that buildings not only withstand earthquakes but also meet specific performance objectives, such as minimizing damage or maintaining functionality after the event. Unlike traditional methods, PBSD allows for more tailored, cost-effective designs by considering varying degrees of acceptable damage based on the structure's importance and use. PBSD was introduced in Korea in 2016 to replace elastic design, which is inevitable to over-design to cope with all variables such as earthquakes and winds. When PBSD is applied to the structural design new building, One of the challenges of PBSD is the complexity involved in creating accurate inelastic analysis models. The process requires significant time and effort to analyze the results, as it involves detailed simulations of how structures will behave under seismic stress. Additionally, organizing and interpreting the analysis data to meet performance objectives can be labor-intensive and technically demanding. In order to solve this problem, a post-processor program was developed in this study. A post-processor was developed based on Excel program using Visual Basic for Applications(VBA). Because analysis outputs of Perform-3D, that is a commercial software for structural analysis and design, are very complicated, generation of tables and graphs for report is significant time and effort consuming task. When the developed post-processor is used to make the seismic design report, the required task time is significantly reduced.

In this study, ester co-solvents and fluoroethylene carbonate (FEC) were used as low-temperature electrolyte additives to improve the formation of the solid electrolyte interface (SEI) on graphite anodes in lithium-ion batteries (LIBs). Four ester co-solvents, namely methyl acetate (MA), ethyl acetate, methyl propionate, and ethyl propionate, were mixed with 1.0 M LiPF6 ethylene carbonate:diethyl carbonate:dimethyl carbonate (1:1:1 by vol%) as the base electrolyte (BE). Different concentrations were used to compare the electrochemical performance of the LiCoO2/ graphite full cells. Among various ester co-solvents, the cell employing BE mixed with 30 vol% MA (BE/MA30) achieved the highest discharge capacity at − 20 °C. In contrast, mixing esters with low-molecular-weight degraded the cell performance owing to the unstable SEI formation on the graphite anodes. Therefore, FEC was added to BE/MA30 (BE/MA30-FEC5) to form a stable SEI layer on the graphite anode surface. The LiCoO2/ graphite cell using BE/MA30-FEC5 exhibited an excellent capacity of 127.3 mAh g− 1 at − 20 °C with a capacity retention of 80.6% after 100 cycles owing to the synergistic effect of MA and formation of a stable and uniform inorganic SEI layer by FEC decomposition reaction. The low-temperature electrolyte designed in this study may provide new guidelines for resolving low-temperature issues related to LIBs, graphite anodes, and SEI layers.

To improve the lithium-ion battery performance and stability, a conducting polymer, which can simultaneously serve as both a conductive additive and a binder, is introduced into the anode. Water-soluble polyaniline:polystyrene sulfonate (PANI:PSS) can be successfully prepared through chemical oxidative polymerization, and their chemical/mechanical properties are adjusted by varying the molecular weight of PSS. As a conductive additive, the PANI with a conjugated double bond structure is introduced between active materials or between the active material and the current collector to provide fast and short electrical pathways. As a binder, the PSS prevents short circuits through strong π‒π stacking interaction with active material, and it exhibits superior adhesion to the current collector, thereby ensuring the maintenance of stable mechanical properties, even under high-speed charging/discharging conditions. Based on the synergistic effect of the intrinsic properties of PANI and PSS, it is confirmed that the anode with PANI:PSS introduced as a binder has about 1.8 times higher bonding strength (0.4 kgf/20 mm) compared to conventional binders. Moreover, since active materials can be additionally added in place of the generally added conductive additives, the total cell capacity increased by about 12.0%, and improved stability is shown with a capacity retention rate of 99.3% even after 200 cycles at a current rate of 0.2 C.

콘크리트 도로포장의 손상은 차량의 이동에 의한 진동, 겨울철 제설제 사용, 동결융해 작용 등이 주요 손상원인으로 나타나고 있다. 이러한 손상을 해결하기 위하여 열화 원인에 능동적으로 대응하는 보수재료 및 방법이 적용되어야 하나, 일반적으로 단면복구, 부분보 수를 반복적으로 사용함으로써, 지속적인 열화 현상의 발생으로 도로포장의 기능을 상실하게 된다. 또한, 기존에 사용되고 있는 보수 재료 중 무기계 보수재료는 폴리머 모르타르, 에폭시수지 모르타르 등이 있다. 이러한 재료는 높은 압축강도를 가지고 있으나, 취성 및 부착력이 약한 단점을 나타내고 있다. 따라서 본 연구에서는 보통포틀랜드시멘트(Ordinary Portland Cement), 칼슘알루미네이트계 재 료인 칼슘설포알루미네이트(Calcium Sulfo Aluminate) 및 비정질 알루미네이트(Amorphous Calcium Aluminate)를 사용한 보수 모르타르의 압축강도 및 내동해성을 평가하였다. 보수 모르타르의 압축강도를 분석한 결과, 비정질 알루미네이트를 사용한 보수모르타르의 압축강 도가 보통포틀랜드시멘트 및 칼슘설포알루미네이트를 사용한 보수 모르타르보다 우수하게 나타나는 것을 확인하였다. 한편, 보수 모르 타르의 내동해성 평가는 ASTM C 666 A법에 준하여 실험을 진행하였다. 그 결과, 칼슘설포알루미네이트 및 비정질 알루미네이트를 적용한 보수 모르타르의 상대동탄성계수가 300사이클에서 약 90%이상으로 나타나 보통포틀랜드시멘트를 사용한 보수 모르타르보다 우수한 내동해성을 나타내었다. 따라서, 칼슘설포알루미네이트 및 비정질 알루미네이트를 적용한 보수 모르타르는 우수한 압축강도 및 내동해성을 나타냄으로써 도로포장의 보수재료로 사용이 가능할 것으로 판단된다.

Existing reinforced concrete (RC) building frames constructed before the seismic design was applied have seismically deficient structural details, and buildings with such structural details show brittle behavior that is destroyed early due to low shear performance. Various reinforcement systems, such as fiber-reinforced polymer (FRP) jacketing systems, are being studied to reinforce the seismically deficient RC frames. Due to the step-by-step modeling and interpretation process, existing seismic performance assessment and reinforcement design of buildings consume an enormous amount of workforce and time. Various machine learning (ML) models were developed using input and output datasets for seismic loads and reinforcement details built through the finite element (FE) model developed in previous studies to overcome these shortcomings. To assess the performance of the seismic performance prediction models developed in this study, the mean squared error (MSE), R-square (R2), and residual of each model were compared. Overall, the applied ML was found to rapidly and effectively predict the seismic performance of buildings according to changes in load and reinforcement details without overfitting. In addition, the best-fit model for each seismic performance class was selected by analyzing the performance by class of the ML models.

The arrival of the 5G era has made electromagnetic pollution a problem that needs to be addressed, and flexible carbon-based materials have become a good choice. In this study, wet continuous papermaking technology was used to prepare carbon fiber paper (CFP) with a three-dimensional conductive skeleton network; Molybdenum disulfide ( MOS2)/ iron (Fe) @ carbon fiber paper-based shielding material was prepared by impregnating and blending molybdenum disulfide/iron ( MOS2/Fe) phenolic resin MOS2/ Fe@ CFP. The morphology, structure, electrical conductivity, mechanical properties, hydrophobicity, and electromagnetic shielding properties of the composite were characterized. The results show that the three-dimensional network structure based on a short carbon fiber paper-based conductive skeleton and the synergistic effect of the MOS2 dielectric wave absorbing agent and Fe magnetic wave absorbing agent have good electromagnetic shielding performance. Conduct electromagnetic shielding simulation using HFSS software to provide options for the structural design of CFP. The electromagnetic shielding performance of CFP reaches 70 dB, and the tensile strength reaches 34.39 MPa. Based on the mechanical properties, the compactness of carbon fiber paper is ensured. The lightning damage model test using CST software expands the direction for the use of carbon fiber paper. In summary, MOS2/ Fe @CFP with excellent shielding performance has great application prospects in thinner and lighter shielding materials, as well as high sensitivity, defense and military equipment.