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A GPU-based Two Dimensional Flood Simulation System
Kuo-Chan Hung,Chih-Yung Feng,Kun-Huai Cheng,Pei-Cheng Tsao1,Hung-Kwai Chen 한국방재학회 2016 Journal of Disaster Management Vol.1 No.1
Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation. Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation.
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Tsai Li-Jen,Chung Chi-Hsiang,Lin Chien-Jung,Su Sheng-Chiang,Kuo Feng-Chih,Liu Jhih-Syuan,Chen Kuan-Chan,Ho Li-Ju,Kuo Chih-Chun,Chang Chun-Yung,Lin Ming-Hsun,Chu Nain-Feng,Lee Chien-Hsing,Hsieh Chang-H 한국한의학연구원 2022 Integrative Medicine Research Vol.11 No.2
Background: Diabetic patients are at high risk of developing cancer. Traditional Chinese medicine (TCM) has become increasingly popular as an adjuvant treatment for patients with chronic diseases, and some studies have identified its beneficial effect in diabetic patients with cancer. The purpoes of this study was to outline the potential of TCM to attenuate hospitalization and mortality rates in diabetic patients with carcinoma in situ (CIS). Methods: A total of 6,987 diabetic subjects with CIS under TCM therapy were selected from the National Health Insurance Research Database of Taiwan, along with 38,800 of 1:1 sex-, age-, and index year-matched controls without TCM therapy. Cox proportional hazard analysis was conducted to compare hospitalization and mortality rates during an average of 15 years of follow-up. Results: A total of 3,999/1,393 enrolled-subjects (28.62%/9.97%) had hospitalization/mortality, including 1,777/661 in the TCM group (25.43%/9.46%) and 2,222/732 in the control group (31.80%/10.48%). Cox proportional hazard regression analysis showed a lower rate of hospitalization and mortality for subjects in the TCM group (adjusted HR=0.536; 95% CI=0.367–0.780, P<0.001; adjusted HR=0.783; 95% CI=0.574– 0.974, P = 0.022). Kaplan-Meier analysis showed that the cumulative risk of hospitalization and mortality in the case and control groups was significantly different (log rank, P<0.001 and P = 0.011, respectively). Conclusions: Diabetic patients with CIS under TCM therapy were associated with lower hospitalization and mortality rates compared to those without TCM therapy. Thus, TCM application may reduce the burden of national medical resources.
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