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Lee, Hang-Lo,Kim, Jin-Seop,Hong, Chang-Ho,Jeong, Ho-Young,Cho, Dong-Keun Korean Radioactive Waste Society 2021 방사성폐기물학회지 Vol.19 No.1
Evaluating the quantitative damage to rocks through acoustic emission (AE) has become a research focus. Most studies mainly used one or two AE parameters to evaluate the degree of damage, but several AE parameters have been rarely used. In this study, several data-driven models were employed to reflect the combined features of AE parameters. Through uniaxial compression tests, we obtained mechanical and AE-signal data for five granite specimens. The maximum amplitude, hits, counts, rise time, absolute energy, and initiation frequency expressed as the cumulative value were selected as input parameters. The result showed that gradient boosting (GB) was the best model among the support vector regression methods. When GB was applied to the testing data, the root-mean-square error and R between the predicted and actual values were 0.96 and 0.077, respectively. A parameter analysis was performed to capture the parameter significance. The result showed that cumulative absolute energy was the main parameter for damage prediction. Thus, AE has practical applicability in predicting rock damage without conducting mechanical tests. Based on the results, this study will be useful for monitoring the near-field rock mass of nuclear waste repository.
Hang-Lo Lee,Chang-Ho Hong,Ji-Won Kim,Jin-Seop Kim 한국방사성폐기물학회 2022 한국방사성폐기물학회 학술논문요약집 Vol.20 No.1
Source localization technique using acoustic emission (AE) has been widely used to track the accurate location of the damaged structure. The principle of localization is based on signal velocity and the time difference of arrival (TDOF) obtained from different signals for the specific source. However, signal velocity changes depending on the frequency domain of signals. In addition, the TDOF is dependent on the signal threshold which affects the prediction accuracy. In this study, a convolutional neural network (CNN)-based approach is used to overcome the existing problem. The concrete block corresponding to 1.3×1.3×1.3 m size is prepared according to the mixing ratio of Wolseong low-to-intermediate level radioactive waste disposal concrete materials. The source is excited using an impact hammer, and signals were acquired through eight AE sensors attached to the concrete block and a multi-channel AE measurement system. The different signals for a specific source are time-synchronized to obtain TDOF information and are transformed into a time-frequency domain using continuous wavelet transform (CWT) for consideration of various frequencies. The developed CNN model is compared with the conventional TDOF-based method using the testing dataset. The result suggests that the CNN-based method can contribute to the improvement of localization performance.
Sensitive detection of human fucosidase by an activity-based probe
Manjula Nandakumar,Lo-Chun,Lee-Chiang Lo,Chun Hung Lin 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
Alpha-L-fucosidase catalyzes the removal of L-Fucose residues from the non-reducing end of glycoconjugates. There are two fucosidases in human, including α-L-fucosidase-1 (FUCA1) and α-L-fucosidase-2 (FUCA2). Abnormal fucosidase activity has been associated with many diseases, such as fucosidosis (one of the lysosomal storage disorders), hepatocellular cancer and breast cancer. We previously demonstrated that gastric epithelial cells secrete FUCA2 extracellularly upon the infection of Helicobacter pylori, a strategy tomodify the cell surface glycoconjugates to prevent the bacterial adhesion. However the role and physiological function of FUCA2 still remains ambiguous, not mentioning the difficulty that the enzyme is highly unstable and the activity is often too small for detection. We developed an activity-based probe for sensitive detection of the enzyme activity in vitro and in vivo. First of all, the probe was utilized for dot-blot assay to measure the H. pylori-induced fucosidase activity in a quantitative manner. Secondly, the probe provided a real-time detection of the increased fucosidase activity by using confocal microscopy. The result also supported the idea that the bacterial infection not only leads to an increase in the extracellular activity of FUCA2, but also an intracellular increase of fucosidase activity. Western blotting analysis by FUCA1- and FUCA2-specific antibodies further corroborated the aforementioned increase levels of FUCA1 and FUCA2 activities, respectively. Our current emphasis is placed to search for the factors of H. pylori in association with the secretion of fucosidase during infection.
이광로(Gowang-Lo Lee),박상규(Sang-Kyu Park),장명욱(Myung-Wuk Jang),박치항(Chee-Hang Park) 한국정보과학회 1993 한국정보과학회 학술발표논문집 Vol.20 No.2
현재, 대부분의 컴퓨터는 GUI(Graphic User Interface)를 기반으로 키보드나 마우스 입력을 통하여 컴퓨터를 조작한다. 그러나 이러한 환경은 일반사용자가 사용하기에는 아직 미흡한 실정이다. 이것은 현재의 사용자 인터페이스가 컴퓨터 중심의 사용자 인터페이스이기 때문이다. 따라서 누구나 쉽게 사용할 수 있는 사용자 인터페이스 환경을 제공하기 위해서는 인간 중심의 사용자 인터페이스 환경으로 변환되어야 한다. 본 논문에서는 사용자에게 1차적으로는 음성과 펜을 이용하여 에이전트와 대화할 수 있는 환경을 제공하고, 더 나아가 에이전트를 통하여 숙련된 비서의 도움을 받는 것처럼 지적이고 다양한 형태의 정보와 서비스를 제공하기 위한 에이전트 개념정립과 에이전트 기반 사용자 인터페이스 개념모델을 정의하였다.
Jin-Seop Kim,Hang-Lo Lee,Chang-Ho Hong,Ji-Won Kim 한국방사성폐기물학회 2022 한국방사성폐기물학회 학술논문요약집 Vol.20 No.2
The structural integrity of concrete silos is important from the perspective of long-term operation of radioactive waste repository. Recently, the application of acoustic emission (AE) is considered as a promising technology for the systematic real-time health monitoring of concrete-like brittle material. In this study, the characteristics of AE wave propagation through concrete silo of Gyeongju radioactive waste repository were evaluated under the effects of groundwater and temperature for the quantitative damage assessment. The attenuation coefficients and absolute energies of AE waves were measured for the temperature cases of 15, 45, 75°C under dry and saturated concrete specimens, which were manufactured based on the concrete mix same as that of Gyeongju concrete silo. The geometric spreading and material loss were taken into account with regard to the wave attenuation coefficient. The attenuation coefficient shows a decreasing pattern with temperature rise for both dry and saturated specimens. The AE waves in saturated condition attenuate faster than those in dry condition. It is found that the effect of water content has a greater impact on the wave attenuation than the temperature. The results from this study will be used as valuable information for estimating the quantitative damage at the location micro-cracks are generated rather than the AE sensor location.