Acid-washed solutions containing various ions, including uranium, are produced by washing uranium-bearing soil or minerals with H2SO4. Conventional extraction processes are complex, as they involve multiple steps and generate significant amounts of radioactive organic waste, posing environmental risks. Therefore, it is necessary to develop a simplified process that can selectively extract uranium while minimizing radioactive waste production. In this study, thermodynamic equilibrium calculations were performed to investigate the selective extraction of uranium through its reaction with H2O2. A basic additive was introduced to facilitate this reaction. The calculation results indicated that uranium in acid-leached solutions could be selectively extracted through a single-step precipitation process, which was experimentally validated. These findings can be utilized to design an efficient process for obtaining high-purity uranium from uranium-bearing soil or minerals.

결빙되거나 적설이 있는 도로와 같이 마찰이 작은 노면에서는 일반 노면과 비교했을 때 제동거리가 크게 증가하기 때문에 심각한 교통사고로 이어질 수 있다. 이에 블랙 아이스(Black ice)와 같은 노면 위험을 감지 하기 위한 노면 분류 기술에 대한 연구가 지금까지 지속적으로 이루어지고 있다. ESC(Electronic Stability Control) 시스템은 차량 자세 제어를 통해 마찰이 작은 노면에서 차량의 미끄러짐 및 전복을 방지하는 능동 안전시스템(Active safety system)이다. ESC 시스템의 성능을 위해서는 정확한 노면 마찰 계수(Road friction coefficient) 추정을 통한 노면 분류가 중요하다. 최근의 노면 분류 기술은 카메라, LiDAR 등의 이미 지 기반의 방법에 중점을 두고 연구가 진행되고 있다. 그러나 이러한 이미지 기반의 방법들은 정확도가 낮을 뿐만 아니라 높은 계산 복잡도의 문제를 가지고 있다. 이뿐만 아니라 높은 비용으로 인해 상용화 측면에서도 단점을 드러내고 있다. 본 연구에서는 그림1처럼 센서 융합 기술을 활용하여 이미지 기반 방법의 문제점을 해결하고자 한다. 차량 횡방향 동역학 모델(Vehicle lateral dynamic model)을 선형화하여 칼만 필터(Kalman filter)를 적용한 노면 마찰 계수 추정 알고리즘을 설계하고, 기계학습(Machine learning) 모델을 적용하여 블랙 아이스 검출 알고 리즘을 설계한다. 전기차 CAN 버스로부터 얻을 수 있는 차량 종방향 가속도(Vehicle longitudinal acceleration)를 제어 입력으로 하고, 요 레이트(Yaw rate)를 측정값으로 하여 칼만 필터에 적용하여 차량 종 방향 속도(Vehicle longitudinal velocity)와 차량 횡방향 속도(Vehicle lateral velocity), 요 레이트, 차량 횡방 향 힘(Vehicle lateral force)을 추정한다. 이때 전통적인 칼만 필터 대신 EKF-UI(Extended kalman filter with unknown input)를 적용하여 시스템 행렬의 크기를 줄여 계산 복잡도를 감소시키고 차량의 거동 변화 를 보다 정확하게 반영할 수 있도록 하였다. 추정된 차량 종방향 속도, 차량 횡방향 속도, 요 레이트를 통해 사이드 슬립 각(Side slip angle)을 구해 사이드 슬립 각과 차량 횡방향 힘의 관계를 이용해 특징들을 찾아 기계학습 모델(e.g. 앙상블 기법, SVM 등)을 적용하여 블랙 아이스를 검출할 수 있다. MATLAB/Simulink SW 및 CarSim을 사용하여 개발한 알고리즘의 성능을 검증하였으며, 본 연구의 결과는 ESC 시스템의 성능 을 개선시켜 차량의 미끄러짐으로 인한 교통사고의 예방에 도움이 될 것으로 예상한다. 여기에 스마트 타이 어(Smart tire)의 센서도 추가해 노면과 타이어 사이의 직접적인 데이터를 추가해 검출 성능을 높일 것이다.

상수도 배관에서 누수 또는 이상을 감지하는 기계학습 및 인공신경망 분류 모델에 대한 연구가 활발히 진행되어 왔다. 그러나 누수음 데이터는 시간과 환경에 따라 계속 변동하기 때문에, 입력 데이터의 변화에도 일정 수준 이상의 분류 성능을 유지하는 분류 모델을 찾는 데 어려움이 있다. 본 연구에서는 모델 선택과 초매개변수 조정보다 데이터 전처리 방법이 분류 성능 향상에 더 큰 영향을 미친다는 점에 주목했다. 변동성이 큰 누수음의 특징을 효과적으로 추출하기 위해 푸리에 변환 및 MFCC(Mel-Frequency Cepstral Coefficients)를 사용하였으며, 일부 정보가 중복될 가능성을 고려하여 다중공선성에 덜 민감한 트리 기반 모델을 사용해 누수음의 분류 성능을 평가했다. 연구 결과, 푸리에 변환과 MFCC를 결합한 데이터 세트를 사용했을 때 LightGBM 모델의 분류 정확도가 84.62%로 나타났으며, 각각의 전처리 방법을 단독으로 사용했을 때보다 더 높은 성능을 달성하였다. 이 결과는 두 전처리 방법의 상호 보완적 특성이 분류 성능 향상에 기여했음을 입증하며, 상수도 관망 누수 탐지 시스템 개발에 중요한 기여를 할 것으로 기대된다.

This paper introduces a simple and reliable photometric calibration method to extract Hα line flux from narrowband images. The equivalent width of the Hα line (EWHα) is derived using two- and simplified three-filter methods. Synthetic photometry of CALSPEC stars demonstrates the dependency of EWHα on the V − R color, described by a skewed Gaussian function within −0.1 < V − R < 0.7. Systematic errors of the two- and three-filter methods are analyzed under 0%–10% R-band flux contamination. Although the three-filter method underestimates EWHα by 10%, it exhibits less scatter compared to the two-filter method. The simplified three-filter method was validated with the Landolt SA 107 field and surpasses the two-filter method in terms of precision and accuracy. Additionally, applying our method to V960 Mon yields EWHα consistent with high-resolution spectroscopic results.

In order support the design support system of small and medium-sized shipbuilding companies that carry out designs using 2D CAD, this study developed a system that automatically calculates the cable length by extracting the Y-axis value expressed as text data in 2D CAD. By setting the equipment where the cable starts and ends, the essential route and the installation rate were checked so that the optimal route of the cable could be calculated. As a result, the value calculated based on the optimal route and length of the cable by extracting the data of 2D CAD through this study was the same as the value previously calculated by the actual user, and the installation rate was less than 130% so there was no problem with the on-site installation. In addition, it was confirmed that the cable length calculated through this was reduced by about 7% compared to the existing work.

Nanoparticles, especially those derived from plant extracts, are becoming increasingly popular as a bio-based, environmentally friendly alternative to conventional technologies. The Maui rose, a flowering plant with medicinal and therapeutic properties, is one of the most important of these materials because its extract component has antibacterial, antioxidant and anti-inflammatory biological activity. In this work, we report on synthesizing and characterizing iron oxide nanoparticles (Fe2O3) extracted from flower plants (Borago), to create persistent and environmentally friendly antibacterial agents. As part of the chemical formation process, Fe2O3 nanoparticles were extracted from specific flower plants utilizing a series of carefully regulated chemical reactions. X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and atomic force microscopy (AFM) of the samples were studied. The nanoparticles produced were analyzed using common microbiological methods and studies (EDS). The antibacterial activity of the Fe2O3 nanoparticles and their effect on a range of microorganisms were evaluated. The results demonstrated that Fe2O3 nanoparticles were successfully synthesized with a specific crystal structure and good anti-bacterial activities.

다알리아(Dahlia pinnata Cav.)는 멕시코 아즈텍인들이 식용으로 재배하여 꽃잎은 샐러드로, 뿌 리는 식용이나 약재로 사용하였다. 그러나 현재는 대부분 화훼용으로 사용되고 있으며, 식용이나 약재로서 의 연구는 부족한 실정이다. 본 연구에서는 다알리아 꽃을 차로 제조하여 다양한 침출 조건과 제다법을 사 용하여 항산화 활성 및 생리활성 성분 함량을 평가하였다. 항산화 활성은 DPPH radial 소거 활성으로 평 가하였으며, 생리활성 성분은 총 폴리페놀 함량(TPC)과 총 플라보노이드 함량(TFC)을 분석하였다. 건조된 다알리아 꽃차는 90℃에서 침출하였을 때 가장 높은 생리활성물질을 추출할 수 있었으며, 적절한 침출 시 간은 8분, 침출 횟수는 3회가 적합하였다. 다양한 제다 방법 중에서 증제법이 가장 높은 항산화 활성을 보 였으며, 그 다음으로 생화, 건조, 덖기 순으로 나타났다. 증제된 다알리아 꽃차의 총 폴리페놀 함량과 플라 보노이드 함량은 각각 50.9 mg/g과 80.6 mg/g으로 건조된 녹차와 비교했을 때 폴리페놀 함량은 낮지만 플라보노이드 함량은 약 3배 높게 나타났다. 이러한 결과는 다알리아 꽃이 우수한 생리활성물질을 함유하 고 있으며, 항산화제로서 식품 및 의약품, 화장품 등에서 높은 활용 가능성을 가지고 있음을 시사한다.

This study aims to develop a deep learning model to monitor rice serving amounts in institutional foodservice, enhancing personalized nutrition management. The goal is to identify the best convolutional neural network (CNN) for detecting rice quantities on serving trays, addressing balanced dietary intake challenges. Both a vanilla CNN and 12 pre-trained CNNs were tested, using features extracted from images of varying rice quantities on white trays. Configurations included optimizers, image generation, dropout, feature extraction, and fine-tuning, with top-1 validation accuracy as the evaluation metric. The vanilla CNN achieved 60% top-1 validation accuracy, while pre-trained CNNs significantly improved performance, reaching up to 90% accuracy. MobileNetV2, suitable for mobile devices, achieved a minimum 76% accuracy. These results suggest the model can effectively monitor rice servings, with potential for improvement through ongoing data collection and training. This development represents a significant advancement in personalized nutrition management, with high validation accuracy indicating its potential utility in dietary management. Continuous improvement based on expanding datasets promises enhanced precision and reliability, contributing to better health outcomes.

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.

The separation of zirconium and hafnium using tributyl phosphate (TBP)-Dodecane extractants in nitric acid medium was performed. Zirconium oxychloride, used as extraction feed, was obtained from the synthesis of Kalimantan zircon sand concentrate smelted using NaOH. The extraction process was carried out by dissolving chloride-based metals in nitric acid media in the presence of sodium nitrate using TBP-Dodecane as an extractant. Some of the extraction parameters carried out in this study include variations in organic phase and aqueous phase (O/A), variations in contact time, and variations in nitric acid concentration. Extraction was carried out using a mechanical shaker according to the parameter conditions. X-ray fluorescence (XRF) was used for elemental (Zr and Hf) composition analysis of the aqueous solution. The results showed that zirconium was separated from hafnium at optimum conditions with an organic/aqueous ratio of 1:5, contact time of 75 min, and an HNO3 concentration of 7 M. The resulting separation factor of zirconium and hafnium using TBP-Dodecane was 14.4887.

Broccoli and cabbage are known to have antioxidant, cholesterol-lowering, and anticancer effects due to their high bioactive component levels. This study applied 70% ethanol and hydrothermal extraction to separate bioactive components from broccoli and cabbage. 30oBrix extracts were freeze-dried and then diluted in various concentrations with distilled water for analysis. Total polyphenol contents, DPPH radical scavenging activity, ABTS radical scavenging activity, ferric ion reducing antioxidant power, and hydrogen peroxide scavenging activity were analyzed. The diverse antioxidant assays, except DPPH radical scavenging activity, showed that hydrothermal extracts had significantly higher activity than the 70% ethanol extracts (p<0.05). In this study, it suggested that hydrothermal extraction is relatively effective in producing broccoli and cabbage extracts. Moreover, hydrothermal extraction conditions could be low-cost and environmentally friendly.

Lycium barbarum extract has a high potential to be developed as a health functional food due to the various health-promoting effects of Lycium barbarum. This study analyzed changes in nutritional and functional components depending on the extraction solvent (purified water and a mixture of purified water and alcohol) and the condition of the sample. The nutritional components (carbohydrates, protein, fat, ash), organic acids, amino acids, total phenolic compounds, and total flavonoids of the extract produced during the extraction process were analyzed. The nutritional composition and functional substances of the extracts showed some differences depending on the type of solvent and the condition of the sample. The amounts of crude protein (7.61%), crude fat (1.63%), carbohydrate (90.22%), and ash (0.54%) of dried Lycium barbarum extract using purified water as a solvent were similar to those of the powder sample extract. The highest content of citric acid was 4.31 mg/mL, similar to the case of acetic acid, when the powder sample used a mixture of purified water and alcohol as a solvent. The highest amino acid content was 357.39 mg/mL when the powder sample was mixed with purified water and alcohol as a solvent. The total amount of phenolic compounds was 686.16 g/L when the powder sample was extracted with a mixture of purified water and alcohol as a solvent. The highest total flavonoid content was 111.32 g/L when the powder sample was extracted with a mixture of purified water and alcohol as a solvent.

The objective of this study was to determine the ultrasonication-assisted extraction conditions that maximize the DPPH radical scavenging activity of extracts obtained from the stems of Lespedeza bicolor Turcz through the application of the Response Surface Methodology (RSM). Before delving into the analysis of extraction conditions using the RSM model, we conducted efficiency validation of ultrasonication-assisted extraction and executed single-factor experiments for ethanol concentration, extraction time, and extraction temperature. The data obtained from these single-factor experiments were employed to construct the Box-Behnken Design (BBD). In these results, in the single-factor experiments, it was evident that the parameters for ethanol concentration, extraction time, and extraction temperature exhibited quadratic trends. The single-factor experiments allowed us to discern the trends for each parameter leading to the maximum antioxidant capacity, and this data was subsequently applied to the BBD. Following the completion of initial experiments, a Response Surface Methodology (RSM) model was constructed based on Box-Behnken Design (BBD). According to the predictive model developed in this study, it was anticipated that performing ultrasonic-assisted extraction for 85.0412 minutes at an ethanol concentration of 32.573% and an extraction temperature of 51.5608°C will result in a DPPH radical scavenging activity of 79.7146%. The predictive results were statistically verified through a comparative analysis with actual measurements and ANOVA analysis, confirming the statistical significance of the model. The finding of this study underscore the significance of optimizing extraction conditions in the precise quantification of the antioxidant potential for economic advantages in both experimental and industrial contexts.

총담관결석의 치료는 내시경역행담췌관조영술을 시행하여 결석을 제거하는 것이 표준적인 방법이며 내시경유두부 괄약근절개술 및 내시경유두부풍선확장술을 시행한 후 바스켓 및 풍선도관, 기계석 쇄석술 등의 여러가지 방법을 사용하여 그 성공률은 90% 이상으로 알려져 있다. 그러나 일부 거대담석이나 담도협착이 동반된 경우 등에서는 담석의 제거에 실패하는 경우가 있다. 본 저자들은 방사선 비투과성 담석에 대해서 일반적인 담석제거를 위한 방법을 사용한 후에도 담석제거에 실패하고 기계적 쇄석술을 시행하던 중 바스켓의 철선이 끊어지면서 담석과 함께 총담관 내에 잔류하게 된 환자에서 체외충격파 쇄석술을 시행하여 담석을 파쇄한 후 담석의 제거에 성공하였던 증례를 문헌고찰과 함께 보고한다.

빠르게 발전하는 이미지 인식 기술에도 불구하고 표 형식의 문서와 수기로 작성된 문서를 완벽하게 디지털화하기에는 아직 어려움이 따른다. 본 연구는 표 형식의 수기 문서인 선박 항해일지를 작성하는 데에 사용되는 규칙을 이용하여 보정 작업을 수행함으로 써 OCR 결과물의 정확도를 향상시키고자 한다. 이를 통해 OCR 프로그램을 통하여 추출된 항해일지 데이터의 정확성과 신뢰성을 높일 것 으로 기대된다. 본 연구는 목포해양대학교 실습선 새누리호의 2023년에 항해한 57일간의 항해일지 데이터를 대상으로 OCR 프로그램 인 식 후 발생한 오류를 보정하여 그 정확도를 개선하고자 하였다. 이 모델은 항해일지 기재 시 고려되는 몇 가지 규칙을 활용하여 오류를 식별한 후, 식별된 오류를 보정하는 방식으로 구성하였다. 모델을 활용하여 오류를 보정 후, 그 효과를 평가하고자 보정 전과 후의 데이터 를 항차별로 구분한 후, 같은 항차의 같은 변수끼리 비교하였다. 본 모델을 활용하여 실제 셀 오류율은 약 11.8% 중 약 10.6%의 오류를 식 별하였고, 123개의 오류 중 56개를 개선하였다. 본 연구는 항해일지 중 항해정보를 기입하는 Dist.Run부터 Stand Course까지의 정보만을 대 상으로 수행하였다는 한계점이 있으므로, 추후 항해정보 뿐만 아니라 기상정보 등 항해일지의 더 많은 정보를 보정하기 위한 연구를 진 행할 예정이다.

This study was performed to investigate antioxidant and anti-inflammatory activities of perilla(Perilla frutescens L.) seed, flower and leaf according to extraction condition. Perilla seed extracts(PSE), perilla flower extracts(PFE), perilla leaf extracts(PLE) was extracted by stirring extraction (STE, 25°C), shaking extraction (SHE, 80°C), and sonication assisted extraction(SAE, , 25°C) with 94% ethanol, 60% ethanol and distilled water, followed by analysis of total polyphenol and flavonoid and testing radical scavenging activities. The highest total polyphenol content (5.47, 9.36, 38.58 mg gallic acid equivalent/g), total flavonoid content(5.77, 8.62, 46.44 mg catechin equivalent/g), ABTS(10.68, 19.46, 63.56 mg trolox equivalent/g) and DPPH(6.51, 7.69, 79.73 mg trolox equivalent/g) radical scavenging activity of PSE, PFE and PLE was observed in the HWE with 60% ethanol,. Among the three extraction method, SHE provided the best results for yield, polyphenol, flavonoid content of perilla seed, flower, leaf in comparison to STE or SAE. SHE with 60% ethanol of perilla seed, flower, leaf more effectively inhibited secretion of nitric oxide(NO) and pro-inflammatory cytokine in RAW 264.7 macrophage exposed to LPS compared to other extraction solvent and method. Therefore, these extracts obtained from perilla seed, flower, leaf could be used antioxidant and anti-inflammatory ingredients in the food industry.