• Title/Summary/Keyword: Coding capable

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Estimate of Wave Overtopping Rate on Vertical Wall Using FUNWAVE-TVD Model (FUNWAVE-TVD 모델을 이용한 직립구조물의 월파량 산정)

  • Kwak, Moon Su;Kobayashi, Nobuhisa
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.6
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    • pp.257-264
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    • 2021
  • This study established a numerical model capable of calculating the wave overtopping rate of coastal structures by nonlinear irregular waves using the FUNWAVE-TVD model, a fully nonlinear Boussinesq equation model. Here, a numerical model was established by coding the mean value approach equations of EurOtop (2018) and empirical formula by Goda (2009), and adding them as subroutines of the FUNWAVE-TVD model. The verification of the model was performed by numerically calculating the wave overtopping rate of nonlinear irregular waves on vertical wall structures and comparing them with the experimental results presented in EurOtop (2018). As a result of the verification, the numerical calculation result according to the EurOtop equation of this model was very well matched with the experimental result in all relative freeboard (Rc/Hmo) range under non-impulsive wave conditions, and the numerical calculation result of empirical formula was evaluated slightly smaller than the experimental result in Rc/Hmo < 0.8 and slightly larger than the experimental result in Rc/Hmo > 0.8. The results of this model were well represented in both the exponential curve and the power curve under impulsive wave conditions. Therefore, it was confirmed that this numerical model can simulate the wave overtopping rate caused by nonlinear irregular waves in an vertical wall structure.

Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform (구글어스엔진 클라우드 컴퓨팅 플랫폼 기반 위성 빅데이터를 활용한 수재해 모니터링 연구)

  • Park, Jongsoo;Kang, Ki-mook
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1761-1775
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    • 2022
  • Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

Anti-inflammatory Effect of Conditioned Medium From an Immortalized Adipose-derived Stem Cell Line by SV40 T Antigen (SV40의 T항원으로 불사화한 지방줄기세포주로부터 생산한 배양액의 항염증 효능)

  • Ye Jin Lee;So Yeong Lee;Min Gyeong Jeong;Seong Moon Park;Dong Wan Kim
    • Journal of Life Science
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    • v.34 no.3
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    • pp.170-178
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    • 2024
  • Adipose-derived stem cells (ADSCs) are capable of differentiation into multiple lineages of cells, which has attracted attention for clinical therapy. However, ADSCs have poor proliferation capacity and a short life span in culture, which is an impediment in the application to clinical use. Previously, to overcome growth disadvantages, we had established an immortalized ADSC line (ADSC-T) by introducing the SV40 T antigen coding gene into primary human ADSC. In the present study, we evaluated the differentiation potential of this cell line and assessed the anti-inflammatory effect of its conditioned medium (CM). ADSC-T appeared to maintain the differentiation potential into adipocyte and chondrocyte. The CM of ADSC-T suppressed the NF-κB activity and its target gene expression of COX-2 and iNOS. Furthermore, the phosphorylations of MAPKs, including ERK, JNK and p38, were suppressed by the ADSC-T CM. The expressions of pro-inflammatory cytokines such as TGF-β, TNF-α, IL-6, and IL-13 were also suppressed by the CM of ADSC-T. In the Nc/Nga atopic model mice, the CM showed therapeutic effect on DNCB-induced atopic dermatitis. These results indicate that the immortalized ADSC-T maintains the beneficial properties of primary ADSC and could be a versatile cell source for not only research into ADSC but also for production of CM suitable for clinical application.