This study aims to model an accident that occurred at building demolition work sites in Gwangju in 2021 by using functional resonance analysis method(FRAM) and to understand a range of factors contributing to the accident based on the concepts and principles of FRAM and Safety-II. The nature of building demolition works needs to be understood from the viewpoint of socio-technical systems. Not only technical factors but also non-technical factors, including human, organizational, and political factors, and their complicated interrelationships should be considered in the modeling and analysis of accidents happening in the works. Because of the inherent complexity of a demolition works, it is unlikely to specify all of the necessary activities to be conducted in the works and their accountable actors. Additionally, unexpected situations are likely to happen and therefore some activity procedures cannot be followed in a prescribed way, which means that workers sometimes should conduct their activities in an improvisional way. Those characteristics of building demolition works indicate that a traditional accident analysis method based on a linear cause-effect relationship would be inadequate, and that more systemic approaches that can deal with the socio-technical complexities and characteristics of demolition works should be used. With this in mind, we applied FRAM to the accident happening in Gwangju in 2021 and attempted to understand the accident based on the concepts and principles of FRAM and Safety-II (e.g. a functional variablity and its propagation to another function). Lastly, we also suggested ways to enhance the safety of building demolition working sites.

선박의 추진전동기는 소량 주문생산되어 고장진단을 위한 신호를 사전에 확보하는 것이 불가능하다. 운용기간 중 계측을 통해 데이터를 확보하는 것은 많은 시간과 비용을 초래하기에 물리모델을 통해 데이터를 확보하는 것이 유일한 방법이다. 물리모델을 통해 얻 은 데이터를 고장진단에 활용하기 위하여 데이터의 정확도를 확보해야 한다. 기존 전동기 물리모델의 경우 전동기에서 발생하는 구조-전 기 연성효과를 온전히 고려하지 않아 진동데이터의 해석 오차가 발생하는 것을 확인할 수 있다. 본 논문에서는 구조-전기 완전연성 물리 모델을 개발하여 물리모델데이터의 정확도를 개선하였다. 실험계측 데이터와 물리모델 데이터의 비교를 통해 전동기 상태별 데이터를 높 은 정확도로 획득할 수 있음을 확인하였다. 본 논문에서 제시한 구조-전기 완전연성 물리모델을 이용하여 정상상태와 결함상태에서 나타 나는 진동수준을 예측할 수 있음을 확인하였으며, 구조-전기 완전연성 반영 필요성을 입증하였다.

이 논문에서는 부유식 구조체의 계류선에 작용하는 장력을 계산함에 있어서 동적 효과를 고려할 수 있는 준동적 계류선 해석 방법 을 제안하였다. 준동적 계류선 해석 방법은 매 시간 단계에서 계류선의 탄성 현수선 해석해에 기반한 정적 장력을 계산한 후, 준동적 장력 계수를 적용해 속도와 가속도에 따른 항력 및 관성력의 영향을 반영하는 방법이다. 제안하는 방법은 정적 탄성 현수선 해석해를 구할 때 계산 효율성을 높이기 위해 응답면 기법을 도입하고, 수평 및 수직 방향의 동적 계수를 결합하여 준동적 장력 계수를 결정하 는 새로운 방법을 제안하였다. 제안된 모델은 계류된 바지선의 운동 해석을 통해 검증하였으며, 다양한 파 조건에서 동적, 준정적, 준 동적 모델을 비교한 결과, 제안된 준동적 모델은 상대적으로 계류선의 동적 효과가 큰 주파수 대역에서 동적 모델과 유사한 장력 응답 을 도출할 수 있음을 확인하였다.

Processing of medicinal plants and mushrooms plays a crucial role in oriental medicine. This study investigated the antioxidant potency and chemical composition of antler-shaped Ganoderma lucidumprocessed under different heating temperatures (120 to 180 °C) and times (10 to 20 minutes). Processed samples were analyzed for their antioxidant activities, including total phenol content, DPPH, ABTS radical scavenging capacity, NO assay, ROS scavenging capacity, and chemical composition changes. Antioxidant potency was highest with processing at 180 °C for 10 min and at 210 °C for 10 min. This enhanced activity is likely attributed to changes in compound functional groups due to heat processing, which in turn influences antioxidant activity. In contrast to antioxidant potency, chemical components, including ganoderic acid D, ganodermanonitriol, and ergosterol, showed decreasing trends with increasing temperature and time.

This study is about the evaluation for shock-proof performance of the system, elastically support the low accumulator of the naval artillery against underwater explosion, using DDAM. For the evaluation, the shock analysis procedure using DDAM, supported by MSC/NASTRAN, was briefly described. In addition, in order to perform the shock analysis, the elastic support system was modeled as a finite element. The shock analysis of the elastic support system was performed by selecting the analysis frequency range so that reliable results can be obtained. Finally, the shock-proof performance of the system was evaluated by comparing the shock analysis results with the properties of the elastic support system.

Effective mixing of different-sized aggregates in mobile asphalt plant dryers is crucial for ensuring high-quality, consistent asphalt production. This study explores the application of spatial analysis techniques, particularly the Discrete Element Method (DEM), to understand and optimize the mixing process of aggregates in drum dryers. The research emphasizes the importance of proper mixing to achieve uniform moisture removal and heating across various aggregate sizes. Larger aggregates heat more slowly, while finer particles risk overheating or being carried away by air currents, necessitating careful management of the mixing process. Using LIGGGHTS, an open-source simulation framework, we conducted DEM simulations to analyze the spatial distribution and behavior of aggregates within a 3D model of a drum dryer. The study considered multiple factors affecting mixing efficiency, including drum inclination, rotational speed, and aggregate feeding frequency. Results indicate that the rotational speed of the drum dryer has the most significant impact on mixing effectiveness. The DEM simulations provided valuable insights into particle movement, heat transfer, and potential segregation issues within the dryer. Further investigations into additional factors that may influence aggregate mixing in drum dryers is recommended, paving the way for improved efficiency and quality in asphalt manufacturing.

도로에서 발생하는 대기오염의 주요 원인은 자동차 등의 연료연소로 인해 발생하는 미세먼지(PM), 질소산화물(NOX), 황산화물(SOX), 암모니아(NH3), 오존(O3) 등이며, 특히 미세먼지와 질소산화물은 도로를 이용하는 운전자와 보행자의 건강에 부정적인 영향을 미치는 것으로 알려져 있다. 본 연구에서는 버스정류장에 설치되는 미세먼지 저감시설의 미세먼지 저감효과를 분석하기 위하여 미세먼지 저 감능력을 실증할 수 있는 실대형 미세먼지 실증인프라와 실규모의 버스정류장을 이용하였다. 미세먼지 실증인프라에서 미세먼지 저감 시설이 설치되는 실험군(2곳)과 미설치되는 대조군(1곳)을 대상으로 미세먼지(PM10) 발생농도를 측정하였으며, 미세먼지 저감시설의 미 세먼지 저감효과를 분석하기 위하여 미세먼지(PM10)의 발생확률과 확률밀도함수를 산정할 수 있는 통계학적 방법인 Anderson-Darling 테스트(AD 테스트)를 이용하여 분석하였다. 미세먼지 저감시설의 미세먼지 저감효과는 대기질지수(AQI)의 기준을 준용하여 실험군ㆍ 대조군의 미세먼지 농도발생확률을 비교하여 정량적ㆍ정성적으로 분석하였다. 미세먼지(PM10) 농도발생확률 산정결과, AQI ‘보통’의 경우, 실험군 측정지점 1, 2와 대조군의 농도발생확률은 각각 77.24%, 63.26%, 0.00%로 대조군에 비해 실험군의 측정지점 1, 2에서 높 게 나타났으며, AQI ‘나쁨’의 경우, 실험군 측정지점 1, 2와 대조군의 농도발생확률은 각각 21.70%, 35.09%, 100.00%로 나타나 실험군 내의 미세먼지(PM10) 발생농도가 대조군과 비교해 개선되는 것으로 분석되었으며, 대조군 내부의 미세먼지 농도의 변화는 거의 없는 것으로 나타났다. 일반적으로 미세먼지를 측정하는 방식인 중량법과 베타선법을 통한 미세먼지 저감효과 분석방법은 시간당 평균으로 측정한 미세먼지 농도만 비교 가능하므로 정성적인 효과분석이 미비해 본 연구를 통해 소개한 통계학적 방법이 정량적 분석 뿐만 아 니라 정성적 분석에도 효과적일 것으로 기대하고 있다.

This study aims to analyze cooperative autonomous driving by integrating two advanced simulation tools, UC-WinRoad and VISSIM. Cooperative autonomous driving refers to the interaction of autonomous vehicles (AVs) with human-driven vehicles, infrastructure, and other road users within a dynamic traffic environment. The integration of UC-WinRoad’s realistic 3D visualization capabilities with VISSIM’s detailed microscopic traffic modeling enables the simulation of complex traffic scenarios, providing a comprehensive analysis of autonomous and connected vehicle behavior. The necessity of this study arises from the growing interest in autonomous driving technologies and the need for reliable tools to evaluate their performance and impact on real-world traffic systems. Simulations offer a safe and cost-effective environment to test AV behavior in various scenarios, including extreme or hazardous conditions that are difficult to replicate in the real world. This study also provides valuable insights into AV-infrastructure interactions, offering data-driven recommendations for policy and infrastructure planning. The outcomes of this research include the development of a methodology for linking UC-WinRoad and VISSIM, simulation results demonstrating potential improvements in traffic flow, safety, and efficiency through cooperative autonomous driving, and the identification of challenges in integrating AVs into existing traffic systems. This research contributes to the advancement of autonomous driving technologies by providing a robust framework for analyzing cooperative driving scenarios, supporting AV and human-driven systems ahead of the fully autonomous traffic systems of the future.

본 연구에서는 비산먼지 농도를 평가하기 위한 영향 요인인 먼지부하량(Silt loading, sL)에 대한 연구로 노면에 쌓여있는 먼지 수집 시 효율적인 방법을 제시하기 위해 실험적 데이터 수집과 시각화를 통해 위치별 특성에 따른 먼지 분포량과 효율적인 먼지 수집 위치 를 분석하고자 하였다. 기존의 미국 EPA(Environmental Protection Agency)에서는 도로 전구간을 샘플링하기에 어려움이 있어 구간별 교 차로 길이(2.4km)를 기준으로 샘플링 위치를 제시하거나 1km 이하 구간에서는 2개를 샘플링하도록 제시하고 있다. 하지만 국내 실정 에 적용하기에는 교차로 사이 간격이 너무 넓거나, 샘플링 개수가 적은 등 한계점을 가지고 있다. 이에 본 연구에서는 청소기의 길이 0.3m에 따라 3m(0.3m X 10회) 샘플링 기법을 통해 25m와 100m 구간을 대표할 수 있는 위치를 제시해주는 것을 목표로 하고 있으며, 이때 시료를 채취하여 통계분석과 클러스터링 분석을 통해 샘플링 위치를 선정하고자 하였다. 또한 샘플링 위치에 따른 검증을 위해 서 도로 먼지 부하량과 비산먼지와의 상관관계를 정량적으로 평가하였다. 이때 먼저 sL의 양에 따른 비산먼지의 농도 측정은 도심부 제한속도에 따라 50km/h의 속도로 주행하는 조건에서 측정되었으며, 측정차량을 통해 수집된 GPS 좌표를 활용하여 도로 먼지 농도의 변화를 정량적으로 분석하였다. 분석 결과, 먼지 부하량(sL)이 농도가 높을수록 도로 먼지 농도가 증가하는 경향이 나타났으며, 이러한 상관관계는 먼지가 많을수록 공기중으로 비산되는 먼지의 양이 많은 것에 기인한 것으로 분석되었고 이때 측정한 전 구간에서 sL과 비산먼지 농도 간의 높은 상관 관계(상관계수 0.76)가 확인되었다. 추가적으로, 각 시료 채취 지점에서의 sL의 변화가 도로 먼지 농도에 미치는 영향을 평가하기 위해 K-평균 클러스터링 기법을 사용하였다. 클러스터링 결과, 최적의 샘플링 지점이 25m 구간 내에서는 3개, 100m 구간 안에서는 5개의 샘플링 위치로 대표값을 띄는 것으로 도출되었으며 비산먼지 농도의 변화와도 일치하는 것을 보였다. 이러한 방법을 통해 도로 먼지 샘플링의 신뢰성을 높일 수 있었으며, 도로 먼지의 특성을 보다 정확하게 분석할 수 있었고, 인력 수집에 따른 시간적, 공간적인 한계 를 해결할 수 있을 것으로 판단된다. 또한 이는 향후 비산먼지 측정 차량 제작 연구의 기초 자료로 활용될 수 있을 것이다.

This paper evaluates the use of Factor Analysis (FA) in English education research in Korea and suggests improvements in methodology. A detailed coding protocol was used to review 179 FA cases from 12 major English education journals (2014-2023). The review identified several key issues, including small sample sizes and lenient criteria for sample size selection, insufficient reporting on data appropriateness and normality, confusion between principal component analysis and FA, overreliance on the Eigenvalue > 1 criterion for determining the number of factors, inappropriate factor rotation methods, inconsistency between factor rotation and extraction methods, inadequate reporting on factor loadings and cross loadings criteria, and excessive reliance on SPSS as a statistical tool for FA. This study provides specific guidelines for applying FA appropriately and reporting results accurately.

본 연구는 Diode Array Detector (DAD)가 장착된 고성능 액체 크로마토그래피(HPLC)를 이용하여 산초나무 잎에 함유된 chlorogenic acid와 hesperidin을 동시에 분석할 수 있는 표준 정량법 개발을 확립하고자 실시하였다. 산초나무 잎의 chlorogenic acid와 hesperidin은 MS/MS 분석 및 표준물질과의 유지시간(RT), UV 흡광도 비교를 통해 확인하였고, 산초나무 잎의 지표물질로 선정하였다. 개발한 분석방법은 지표물질을 대상으로 특이성, 정확성, 정밀도, 검출한계, 정량한계, 선형성에 대해 최적화하고 검증하였다. HPLC 분석으로 두 화합물에 대한 검량선은 각각 0.99% 이상의 높은 상관계수(r2)를 보였다. Chlorogenic acid의 전체 회수율은 106.82%이었고, hesperidin의 전체 회수율은 107.37%였다. Chlorogenic acid의 검출한계(LOD)는 0.271μg/ml, Hesperidin의 검출한계(LOD)는 0.005μg/ml였다. Chlorogenic acid의 일간정밀도는 0.102% (RSD%), Hesperidin의 일간정밀도는 1.038% (RSD%)였다. 본 연구에서 개발한 HPLC-DAD 분석방법은 기능성 원료 인정을 위한 분석기준을 충족하였다. 따라서 본 연구에서 확립한 HPLC 분석법은 향후 산초나무 잎에서 유래한 생리활성물질의 대량추출 및 관련제품을 개발할 때 원료 표준화에 적용가능할 것이다.

Rehmannia glutinosa root and Saururus chinensis plant have been widely used in natural traditional medicines. This study was conducted to investigate the effect of the content of the main components of R. glutinosa root and S. chinensis plant by extraction method. The results of comparative analysis of extraction yield, total flavonoid, and polyphenol content by extraction method indicated that extraction yield had the best performance with hot water extraction for R. glutinosa and ultrasound-assisted extraction for S. chinensis. The total flavonoid and polyphenol content had the best performance with maceration extraction for R. glutinosa and ultrasound-assisted extraction for S. chinensis. ABTS and DPPH activity was excellent with maceration extraction for both R. glutinosa and S. chinensis. The analysis of the main components showed that maceration extraction was most effective for both S. chinensis and R. glutinosa. Specifically, maceration extraction of R. glutinosa yielded 1.5 times more than conventional ultrasound-assisted extraction.

A cyclone separator is a device that separates solid particles from a fluid using centrifugal force and gravity in its inner chamber. Among cyclone separators, the separator that uses water as a working fluid is called as hydrocyclone separator, which has been developed for the purpose of dehydrating solid mixtures with a proportion of solids floating in liquids greater than 1, such as soil, coal, and cement slurry. In this paper, a hydrocyclone was designed based on the previously proposed design method, and how different the performance is from the targeted value was investigated using the computational fluid dynamics.

In this study, in order to develop an foaming tablet product using yuzu powder, yuzu powder was manufactured using different drying methods such as freeze-drying, 60℃ drying, and 40℃ drying, and then quality characteristics and functionality were analyzed. The naringin content per g of yuzu powder was 8.9 mg for freeze-drying and 8.8 mg for 60℃ drying, and the hesperidin content per g of yuzu powder was highest at 53.6 mg for freeze-drying and 46.2 mg for 60℃ drying. followed by 40℃ drying (41.7 mg). The tyrosinase inhibitory activity of 60℃ dried powder was found to be twice as high as that of freeze dried powder. Accordingly, in order to develop an inner beauty product, foaming tablets were manufactured using hot air dried powder, and the quality characteristics and functional ingredients of the final foaming tablets were investigated. The foaming tablet prepared with yuzu powder content of 10 and 15% showed an inhibitory activity of tyrosinase of 73.7 %, which was 1.6 times higher than that of ascorbic acid (1 mM), which was a positive control, confirming its melanin production inhibition effect.

Since 2010, the Odor Prevention Act has identified and regulated four types of fatty acids as substances that cause odors. Four types of fatty acids are contributors to odor pollution and are sensitive to changes in temperature and humidity. However, the current analysis method has several limitations, including dependency on the timing of sampling before and after the procedure, as well as dependency on the specific analysis method employed. The aim of this study is to assess the efficacy of the ion chromatography analysis method by utilizing ultrapure distilled water as a means to improve the current approach. Initially, the analysis system underwent a quality assessment. The results indicated a linearity (R2) of 0.99, a limit of 10 nmol/mol or lower, supporting the conclusion that it is suitable. Furthermore, the investigation focused on the substance’s tendency to change over time in ultrapure water and under alkali absorption (0.01N NaOH). At a concentration of 0.95 ng (low-concentration standard sample), the confirmed peak area values ranged from 0.0004 μg/min to 0.0010 μg/min, resulting in an injection variation of approximately ± 0.001. At 23.7 ng (high-concentration standard sample), the peak area value fluctuated between 0.008 μg/min and 0.013 μg/ min, with an average of ± 0.002. Therefore, storing the material at temperatures below 4°C for up to 3 days (72 hours) after manufacturing seemed to facilitate the optimal conditions for maintaining its stability without significant changes taking place. Finally, blank samples from the laboratory, equipment, and site were analyzed. Out of the four substances analyzed, only n-butyl acid was detected in all three background samples. It was confirmed that it represented 4% of the peak area in the 4.94 ng standard sample.

In this study, the surfaces of two gold nanoparticles of different shapes were modified with hexadecyltrimethylammonium bromide (CTAB) and used for contact lenses. The polymer was based on 2-hydroxyethyl methacrylate (HEMA), and spherical and sea urchin-shaped gold nanoparticles were used as additives. CTAB was used to modify the surface of the sea urchin-shaped gold nanoparticles. To analyze the physical properties of the prepared contact lens, optical transmittance, refractive index, water content, contact angle, and atomic force microscope (AFM) were measured and evaluated. The results showed the nanoparticles did not significantly affect optical transmittance, refractive index, or water content of the lens, and tensile strength increased according to the ratio of the additive. The addition of the sea urchin-shaped nanoparticles resulted in lower wettability compared with the spherical nanoparticles, but somewhat superior tensile strength. In addition, it was found that the wettability of the lens was improved when the surface-modified sea urchin-shaped gold nanoparticles were added. The types of gold nanoparticles and surface modification methods used in this study are considered to have great potential for use in ophthalmic materials.