High-entropy alloys (HEAs) are characterized by having five or more main elements and forming simple solids without forming intermetallic compounds, owing to the high entropy effect. HEAs with these characteristics are being researched as structural materials for extreme environments. Conventional refractory alloys have excellent hightemperature strength and stability; however, problems occur when they are used extensively in a high-temperature environment, leading to reduced fatigue properties due to oxidation or a limited service life. In contrast, refractory entropy alloys, which provide refractory properties to entropy alloys, can address these issues and improve the hightemperature stability of the alloy through phase control when designed based on existing refractory alloy elements. Refractory high-entropy alloys require sufficient milling time while in the process of mechanical alloying because of the brittleness of the added elements. Consequently, the high-energy milling process must be optimized because of the possibility of contamination of the alloyed powder during prolonged milling. In this study, we investigated the hightemperature oxidation behavior of refractory high-entropy alloys while optimizing the milling time.

Thermite welding is an exceptional process that does not require additional energy supplies, resulting in welded joints that exhibit mechanical properties and conductivity equivalent to those of the parent materials. The global adoption of thermite welding is growing across various industries. However, in Korea, limited research is being conducted on the core technology of thermite welding. Currently, domestic production of thermite powder in Korea involves recycling copper oxide (CuO). Unfortunately, controlling the particle size of waste CuO poses challenges, leading to the unwanted formation of pores and cracks during thermite welding. In this study, we investigate the influence of powder particle size on thermite welding in the production of Cu-thermite powder using waste CuO. We conduct the ball milling process for 0.5–24 h using recycled CuO. The evolution of the powder shape and size is analyzed using particle size analysis and scanning electron microscopy (SEM). Furthermore, we examine the thermal reaction characteristics through differential scanning calorimetry. Additionally, the microstructures of the welded samples are observed using optical microscopy and SEM to evaluate the impact of powder particle size on weldability. Lastly, hardness measurements are performed to assess the strengths of the welded materials.

철도교량의 설계는 장기간에 걸쳐 수행되고 대규모의 부지를 대상으로 하기 때문에 다양한 환경적인 요인과 불확실성을 동반하게 된다. 이러한 연유로 초기 설계단계에서 충분히 검토하였더라도 설계변경이 종종 발생하고 있다. 특히 철도교량과 같은 대규모 시설 물의 설계변경은 많은 시간과 인력을 소모하며, 매번 모든 절차를 반복하는 것은 매우 비효율적이다. 본 연구에서는 딥러닝 알고리즘 중 전이학습을 통해 설계변경 전의 학습 결과를 활용하여 설계변경 후의 학습의 효율성을 향상시킬 수 있는 기법을 제안하였다. 분석 을 위해 기개발한 철도교량 딥러닝 기반 예측 시스템을 활용하여 시나리오들을 작성하고 데이터베이스를 구축하였다. 제안된 기법은 설계변경 전 기존 도메인에서 학습에 사용한 8,000개의 학습데이터 대비 새로운 도메인에서 1,000개의 데이터만을 학습하여 유사한 정확도를 나타내었고 보다 빠른 수렴속도를 가지는 것을 확인하였다.

고속철도 교량은 열차 하중에 의한 공진으로 인한 동적응답 증폭의 위험이 존재하므로 설계기준에 따른 동적해석을 통한 주행안전 성 및 승차감 검토를 반드시 수행하여야 한다. 그러나 주행안전성 및 승차감 산정 절차는 열차의 종류별로 임계속도를 포함하여 설계 속도의 110km/h까지 10km/h 간격으로 동적해석을 일일이 수행해야 하므로 많은 시간과 경비가 소요된다. 이 연구에서는 딥러닝 알 고리즘을 활용하여 별도의 동적해석 없이 주행안전성 및 승차감을 사전에 예측할 수 있는 딥러닝 기반 예측 시스템 개발하였다. 제안 된 시스템은 철도교량의 열차별, 속도별 동적해석 결과를 학습한 후 학습 완료된 신경망을 기반으로 한 예측 시스템이며, 열차속도, 교량 특성 등의 입력파라미터에 따른 주행안전성 및 승차감 산정 결과를 사전에 예측할 수 있다. 제안된 시스템의 성능을 확인하기 위 하여 단경간 직선 단순보 교량을 대상으로 한 주행안전성 및 승차감 예측을 수행하였고, 주행안전성 및 승차감 산정을 위한 상판 연직 변위 및 상판 연직가속도를 높은 정확도로 예측할 수 있음을 확인하였다.

We present a new method which constructs an Hi super-profile of a galaxy which is based on profile decomposition analysis. The decomposed velocity profiles of an Hi data cube with an optimal number of Gaussian components are co-added after being aligned in velocity with respect to their centroid velocities. This is compared to the previous approach where no prior profile decomposition is made for the velocity profiles being stacked. The S/N improved super-profile is useful for deriving the galaxy’s global Hi properties like velocity dispersion and mass from observations which do not provide sufficient surface brightness sensitivity for the galaxy. As a practical test, we apply our new method to 64 high-resolution Hi data cubes of nearby galaxies in the local Universe which are taken from THINGS and LITTLE THINGS. In addition, we also construct two additional Hi super-profiles of the sample galaxies using symmetric and all velocity profiles of the cubes whose centroid velocities are determined from Hermite h3 polynomial fitting, respectively. We find that the Hi super-profiles constructed using the new method have narrower cores and broader wings in shape than the other two super-profiles. This is mainly due to the effect of either asymmetric velocity profiles’ central velocity bias or the removal of asymmetric velocity profiles in the previous methods on the resulting Hi super-profiles. We discuss how the shapes (σn/σb, An/Ab, and An/Atot) of the new Hi super-profiles which are measured from a double Gaussian fit are correlated with star formation rates of the sample galaxies and are compared with those of the other two super-profiles.

레일장대화는 무도상교량의 소음, 진동, 충격 등의 문제점을 해결할 수 있는 경제적인 방안 중 하나이며, 최근 연동식 침목고정장치 를 이용한 SSF 공법이 개발된 바 있다. 이 연구에서는 연동식 침목고정장치 적용 시 레일 높이 조정 및 열차 통과 시의 충격 흡수를 목 적으로 교량침목 하부에 삽입되는 침목패드의 최적 연직강성을 결정하는 과정을 제시하였다. 침목패드의 최적 연직강성 결정을 위하 여 관련 기존 기준을 검토하였으며, 유연다물체동적해석을 통하여 침목패드의 연직강성 변화에 따른 주행안전성, 승차감 및 궤도의 안전성에 대한 지표들과 교량 응답 변화를 검토하였다. 유연다물체동적해석은 상용프로그램인 ABAQUS와 VI-Rail을 이용하여 수행 하였다. 수치해석은 30m 상로판형교에 대한 교량모델을 이용하여 수행하였으며, 침목패드의 연직강성이 7.5kN/mm ~ 240kN/mm로 변화할 때 ITX 새마을, KTX 및 화차 통과 시의 응답을 산정하였다. 수치해석에 적용된 궤도구성품 조건에서 침목패드의 최적 강성은 100kN/mm로 산정되었다.

현재 교량과 같은 토목구조물의 설계프로세스는 1차 설계 후 구조 검토를 수행하여 기준에 부적합할 경우 재설계하는 과정을 반복 하여 최종적인 성과품을 만드는 것이 일반적이다. 이러한 반복 과정은 설계에 소요되는 기간을 연장시키는 원인이 되며, 보다 수준 높 은 설계를 위해 투입되어야 할 고급 엔지니어링 인력을 기계적인 단순 반복 작업에 소모하고 있다. 이러한 문제는 설계 과정 자동화를 통하여 해결할 수 있으나, 설계 과정에서 사용되는 해석프로그램은 이러한 자동화에 가장 큰 장애요인이 되어 왔다. 본 연구에서는 기 존 설계 과정 중 반복작업을 대체하고자 강화학습 알고리즘과 외부 해석프로그램을 함께 제어할 수 있는 인터페이스를 포함한 교량 설계 프로세스에 대한 AI기반 자동화 시스템을 구축하였다. 이 연구를 통하여 구축된 시스템의 프로토타입은 2경간 RC라멘교를 대 상으로 제작하였다. 개발된 인터페이스 체계는 향후 최신 AI 및 타 형식의 교량설계 간 연계를 위한 기초기술로써 활용될 수 있을 것 으로 판단된다..

The ovum pick up(OPU) technique can be used to produce embryos after in vitro culture of ovarian oocytes, can be used for early securement for effective herd early proliferation and excellent Hanwoo genetic resources, It is attracting attention as a very important technique for establishing technology. In addition to in vitro culture techniques, the number of oocytes retrieved depends on the environment and timing of the OPU. This study was conducted to compare and examine seasonal effect to the differences in the number of recovered oocytes, recovery rate and embryo development rate using Korean cattle kept in animal genetic resource research center by OPU technique. The grade of COCs was evaluated by microscopic examination. Grade A had 3 or more layers of cumulus cell and compact cytoplasm. Grade B had 1~3 layers of cumulus cell and compact cytoplasm. Grade C had 1 layers cumulus cell and compact cytoplasm. Grade D was denuded oocyte and poor cytoplasm. The recovery rate was 47.8±3.4% in summer (June to August) and 51.6±3.8% in autumn (September to October). The number of oocytes was 5.7±0.6 in summer and 5.2±0.7 in autumn. Oocyte grade A and B was 46.2%±6.3% in summer and 51.1±5.0% in autumn. The cleavage rate was 46.1±7.1% in summer and 65.0±11.3% in autumn. Blastocyst development rate was 19.9±9.4% in summer and 29.0±8.7% in autumn. There was no difference the recovery rate of oocytes and the number of embryos between summer and autumn. Cleavage rate and blastocyst rate of autumn was higher than summer. we will investigate to study the appropriate method for the production of Hanwoo embryos and the systematic comparison.

Because the pig is a valuable candidate for a preclinical model of human cell therapy as well as an important food source, understanding a physiology of pig myogenic progenitors such as skeletal muscle satellite cells and myoblasts is required for cure of muscular diseases and improvement of meat production. For these reasons, we tried to isolate and culture the pig progenitor cells from skeletal muscle. Pig satellite cells, known as muscle stem cells, were isolated from biceps femoris of neonatal pigs by enzymatic digestion method. Muscle satellite cells are quiescent in uninjured muscle. Upon injury, they are activated into proliferating state, known as myoblasts, by growth factors and, in turn, differentiated forward to myocytes and myotubes. To trigger proliferation in vitro, the isolated satellite cells were cultured with epidermal growth factor (EGF) and dexamethasone (BMP4 inhibitor). As a result, the pig satellite cells were efficiently converted into proliferating myoblasts and stably maintained over an extended period. The myoblasts were confirmed by markers of PAX7, MYF5, and MYOD1. Our finding showed that modulating EGF and BMP4 signaling are essential for maintaining muscle stem cells. This culture method could be applied for a production of cultured meat and further basic research of muscle development. This work was supported by the Korea Institute of Planning and Evaluation for Technology in food, agriculture, forestry, and fisheries (IPET) through the Development of High Value-Added Food Technology Program funded by the Ministry of Agriculture, Food, and Rural Affairs (MAFRA; 118042-03-1-HD020).