• Title/Summary/Keyword: Number of simulation run/iteration

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SWAT model calibration/validation using SWAT-CUP II: analysis for uncertainties of simulation run/iteration number (SWAT-CUP을 이용한 SWAT 모형 검·보정 II: 모의 실행 및 반복 횟수에 따른 불확실성 분석)

  • Yu, Jisoo;Noh, Joonwoo;Cho, Younghyun
    • Journal of Korea Water Resources Association
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    • v.53 no.5
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    • pp.347-356
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    • 2020
  • The main objective of the study is to propose the most efficient SWAT model calibration method using SWAT-CUP with less computing time and high performance. In order to achieve the goal, Case1-3 (250, 500, and 1,000 simulation runs) and Case4 (1,000 simulation runs in the first iteration and then 500 simulation runs for the following iterations) were defined to compare the results. When evaluating the values of the objective function, Case2 and Case3 reached the same value after the fourth iteration, and Case1 reached the closed value of Case2-3 after the eighth iteration. However, the final estimates of the parameters had different ranges in Cases1-3, and only the results of Case3 and Case4 converged similarly. Thus, it can be considered that the parameter calibration results are highly affected by the initial number of simulation runs. On the other hand, SWAT simulation results did not show the significant difference after the first iteration, unlike the parameter ranges. From the analysis results, we can conclude that the most suitable and effective method was to repeat one or two times of iterations with a sufficient number of simulation runs, as in Case4.

PASC Processor Architecture for Enhanced Loop Execution (루프를 효과적으로 처리하는 PASC 프로세서 구조)

  • Ji, Seung-Hyeon;Park, No-Gwang;Jeon, Jung-Nam;Kim, Seok-Il
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1225-1240
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    • 1999
  • This paper proposes PASC(PArtitioned SCHeduler) processor architecture that equips with a number of functional unit and an individual scheduler paris. Every scheduler of the PASC processor can determine whether a unit instruction can be issued to the associated functional unit or it is to be waited until next cycle caused by a resource collision or data dependencies. In the PASC processor, only the functional unit with a resource collision or data dependencies waits by executing a NOP(No OPeration) instruction and the other functional units execute their own instructions. Therefore we can expect the code compaction effect on the PASC processor. Thus, the last instruction of a loop at certain iteration and the very first instruction of the loop at the next iteration can be scheduled simultaneously if the two instructions do not incur any resource collision or data dependencies. Therefore, we can expect that such two instructions without any resource collision and data dependencies are packed into the same very long instruction word and thus, the two instructions are executed concurrently at run time. As a result, we can shorten execution cycles of a loop comparing to the execution of the loop on a traditional VLIW or SVLIW processor architecture. Simulation result also promises faster execution of loops on a PASC processor architecture than those on a VLIW and SVLIW processor architecture.

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SWAT model calibration/validation using SWAT-CUP III: multi-site and multi-variable model analysis (SWAT-CUP을 이용한 SWAT 모형 검·보정 III: 다중 관측 지점 및 변수를 고려한 분석)

  • Cho, Younghyun
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1143-1157
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    • 2020
  • In this study, a criteria for the SWAT model calibration method in SWAT-CUP which considers multi-site and multi-variable observations was presented. For its application, the SWAT model was simulated using long-term observed flow, soil moisture, and evapotranspiration data in Yongdam study watershed, investigating the hydrological runoff characteristics and water balance in the water cycle analysis. The model was calibrated with different parameter values for each sub-watershed in order to reflect the characteristics of multiple observations through one-by-one calibration, appropriate settings of model simulation run/iteration number (1,000 simulation runs in the first iteration and then 500 simulation runs for the following iterations), and executions of partial and all run in SWAT-CUP. The flow simulation results of watershed outlet point, ENS 0.85, R2 0.87, and PBIAS -7.6%, were compared with the analysis results (ENS 0.52, R2 0.54, and PBIAS -22.4%) applied in the other batch (i.e., non one-by-one) calibration approach and showed better performances of proposed method. From the simulation results of a total of 15 years, it was found that the total runoff (streamflow) and evapotranspiration rates from precipitation are 53 and 39%, and the ratio of surface runoff and baseflow (i.e., sum of lateral and return flow, and recharge deep aquifer) are 35 and 65%, respectively, in Yongdam watershed. In addition, the analytical amount of available water (i.e., water yield), including the total annual streamflow (daily average 21.8 m3/sec) is 6.96 billion m3 per year (about 540 to 900 mm for sub-watersheds).

THE ADAPTATION METHOD IN THE MONTE CARLO SIMULATION FOR COMPUTED TOMOGRAPHY

  • LEE, HYOUNGGUN;YOON, CHANGYEON;CHO, SEUNGRYONG;PARK, SUNG HO;LEE, WONHO
    • Nuclear Engineering and Technology
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    • v.47 no.4
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    • pp.472-478
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    • 2015
  • The patient dose incurred from diagnostic procedures during advanced radiotherapy has become an important issue. Many researchers in medical physics are using computational simulations to calculate complex parameters in experiments. However, extended computation times make it difficult for personal computers to run the conventional Monte Carlo method to simulate radiological images with high-flux photons such as images produced by computed tomography (CT). To minimize the computation time without degrading imaging quality, we applied a deterministic adaptation to the Monte Carlo calculation and verified its effectiveness by simulating CT image reconstruction for an image evaluation phantom (Catphan; Phantom Laboratory, New York NY, USA) and a human-like voxel phantom (KTMAN-2) (Los Alamos National Laboratory, Los Alamos, NM, USA). For the deterministic adaptation, the relationship between iteration numbers and the simulations was estimated and the option to simulate scattered radiation was evaluated. The processing times of simulations using the adaptive method were at least 500 times faster than those using a conventional statistical process. In addition, compared with the conventional statistical method, the adaptive method provided images that were more similar to the experimental images, which proved that the adaptive method was highly effective for a simulation that requires a large number of iterations-assuming no radiation scattering in the vicinity of detectors minimized artifacts in the reconstructed image.