• 제목/요약/키워드: Radiation model

검색결과 2,273건 처리시간 0.034초

지도학습에서 다양한 입력 모델에 의한 초단기 태양광 발전 예측 (Forecasting of Short Term Photovoltaic Generation by Various Input Model in Supervised Learning)

  • 장진혁;신동하;김창복
    • 한국항행학회논문지
    • /
    • 제22권5호
    • /
    • pp.478-484
    • /
    • 2018
  • 본 연구는 기온, 강수량, 풍향, 풍속, 습도, 운량, 일조, 일사 등 시간별 기상 데이터를 이용하여, 일사 및 일조 그리고 태양광 발전예측을 하였다. 지도학습에서 입출력패턴은 예측에서 가장 중요한 요소이지만 인간이 직접 결정해야하기 때문에, 반복적인 실험에 의해 결정해야 한다. 본 연구는 일사 및 일조 예측을 위하여 4가지 모델의 입출력 패턴을 제안하였다. 또한, 예측된 일조 및 일사 데이터와 전라남도 영암 태양광 발전소의 발전량 데이터를 사용하여 태양광 발전량을 예측하였다. 실험결과 일조 및 일사 예측에서 모델 4가 가장 예측결과가 우수했으며, 모델 1에 비해 일조의 RMSE는 1.5배 정도 그리고 일사의 RMSE는 3배 정도 오차가 줄었다. 태양광 발전예측 실험결과 일조 및 일사와 마찬가지로 모델 4가 가장 예측결과가 좋았으며, 모델 1 보다 RMSE가 2.7배 정도 오차가 줄었다.

A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model

  • Zhang, Bing;Chen, Shanqi;Lin, Zhixian;Wang, Shaoxuan;Wang, Zhen;Ge, Daochuan;Guo, Dingqing;Lin, Jian;Wang, Fang;Wang, Jin
    • Nuclear Engineering and Technology
    • /
    • 제53권1호
    • /
    • pp.103-110
    • /
    • 2021
  • In the development of a Risk Monitor probabilistic safety assessment (PSA) model from the basic PSA model of a nuclear power plant, the modeling of common-cause failure (CCF) is very important. At present, some approximate modeling methods are widely used, but there lacks criterion of modeling accuracy and error analysis. In this paper, aiming at ensuring the accuracy of risk assessment and minimizing the Risk Monitor PSA models size, we present three basic issues of CCF model resulted from the changes of a nuclear power plant configuration, put forward corresponding modeling methods, and derive accuracy criteria of CCF modeling based on minimum cut sets and risk indicators according to the requirements of risk monitoring. Finally, a nuclear power plant Risk Monitor PSA model is taken as an example to demonstrate the effectiveness of the proposed modeling method and accuracy criteria, and the application scope of the idea of this paper is also discussed.

Development of an easy-to-handle murine model for the characterization of radiation-induced gross and molecular changes in skin

  • Chang, Hsien Pin;Cho, Jae Ho;Lee, Won Jai;Roh, Hyun;Lee, Dong Won
    • Archives of Plastic Surgery
    • /
    • 제45권5호
    • /
    • pp.403-410
    • /
    • 2018
  • Background Radiation-induced skin injury is a dose-limiting complication of radiotherapy. To investigate this problem and to develop a framework for making decisions on treatment and dose prescription, a murine model of radiation-induced skin injury was developed. Methods The dorsal skin of the mice was isolated, and irradiation was applied at single doses of 15, 30, and 50 Gy. The mice were followed for 12 weeks with serial photography and laser Doppler analysis. Sequential skin biopsy samples were obtained and subjected to a histological analysis, immunostaining against transforming growth factor beta (TGF-${\beta}$), and Western blotting with Wnt-3 and ${\beta}$-catenin. Increases in the levels of TGF-${\beta}$, Wnt, and ${\beta}$-catenin were detected after irradiation. Results All tested radiation doses caused progressive dermal thickening and fibrosis. The cause of this process, however, may not be radiation alone, as the natural course of wound healing may elicit a similar response. The latent appearance of molecular and histological markers that induce fibrosis in the 15 Gy group without causing apparent gross skin injuries indicates that 15 Gy is an appropriate dose for characterizing the effects of chronic irradiation alone. Thus, this model best mimics the patterns of injury that occur in human subjects. Conclusions This animal model can be used to elucidate the gross and molecular changes that occur in radiation-induced skin injury and provides an effective platform for studying this adverse effect without complicating the process of wound healing.

WRF-CMAQ 결합모델을 이용한 에어로졸 피드백 효과가 한반도 일사량에 미치는 영향 연구 (Effect of Aerosol Feedback on Solar Radiation in the Korean Peninsula Using WRF-CMAQ Two-way Coupled Model)

  • 유정우;박순영;전원배;김동혁;이화운;이순환;김현구
    • 한국대기환경학회지
    • /
    • 제33권5호
    • /
    • pp.435-444
    • /
    • 2017
  • In this study, we investigated the effect of aerosol feedback on $PM_{10}$ simulation using a two-way coupled air quality model (WRF-CMAQ). $PM_{10}$ concentration over Korea in January 2014 was simulated, and the aerosol feedback effect on the simulated solar radiation was intensively examined. Two $PM_{10}$ simulations were conducted using the WRF-CMAQ model with (FB) and without(NFB) the aerosol feedback option. We find that the simulated solar radiation in the west part of Korea decreased by up to $-80MJ/m^2$ due to the aerosol feedback effect. The feedback effect was significant in the west part of Korea, showing high $PM_{10}$ estimates due to dense emissions and its long-range transport from China. The aerosol feedback effect contributed to the decreased rRMSE(relative Root Mean Square Error) for solar radiation (47.58% to 30.75%). Aerosol feedback effect on the simulated solar radiation was mainly affected by concentration of $PM_{10}$. Moreover, FB better matched the observed solar radiation and $PM_{10}$ concentration than NFB, implying that taking into account the aerosol direct effects resulted in the improved modeling performance. These results indicate that aerosol feedback effects can play an important role in the simulation of solar radiation over Korean Peninsula.

마코프 모델을 이용한 방사선 방어의 최적화 (Optimization of Radiation Protection Using Markov Model)

  • 정진엽;이건재
    • Journal of Radiation Protection and Research
    • /
    • 제14권2호
    • /
    • pp.1-9
    • /
    • 1989
  • 방사선 방어를 위한 방안을 결정하는데 도움을 주기 위해서는 각종 방사선 방어 최적화 방안들 사이에 정량적인 비교를 할 수 있는 해석적 방법이 필요하다. 본 논문에서는 발전소에서 행해지고 있는 검사, 시험 및 보수가 방사선 방어에 미치는 영향을 평가할 수 있는 동적 마코프 모델의 개념을 도입하였다. 마코프 모델의 응용을 다루기 위해 예로 든 증기발생기 전열관 파열에서는 고리 2호기와 외국의 자료에 기초해 비용과 피폭 선량을 줄이기 위한 증기발생기의 최적 검사주기를 산출하였으며 그 결과 피폭 선량은 비용에 비해 그 기여도가 매우 낮은 것으로 나타났다. 예제 계산이 이용된 마코프 모델은 자료를 좀 더 보강함으로써 국내 발전소에도 쉽게 적용할 수 있으며 방사선 방어의 최적화를 위한 여러 가지 대안의 비교 우위를 평가하는 데에도 이용할 수 있다.

  • PDF

Development of an experimental model for radiation-induced inhibition of cranial bone regeneration

  • Jung, Hong-Moon;Lee, Jeong-Eun;Lee, Seoung-Jun;Lee, Jung-Tae;Kwon, Tae-Yub;Kwon, Tae-Geon
    • Maxillofacial Plastic and Reconstructive Surgery
    • /
    • 제40권
    • /
    • pp.34.1-34.8
    • /
    • 2018
  • Background: Radiation therapy is widely employed in the treatment of head and neck cancer. Adverse effects of therapeutic irradiation include delayed bone healing after dental extraction or impaired bone regeneration at the irradiated bony defect. Development of a reliable experimental model may be beneficial to study tissue regeneration in the irradiated field. The current study aimed to develop a relevant animal model of post-radiation cranial bone defect. Methods: A lead shielding block was designed for selective external irradiation of the mouse calvaria. Critical-size calvarial defect was created 2 weeks after the irradiation. The defect was filled with a collagen scaffold, with or without incorporation of bone morphogenetic protein 2 (BMP-2) (1 ㎍/ml). The non-irradiated mice treated with or without BMP-2-included scaffold served as control. Four weeks after the surgery, the specimens were harvested and the degree of bone formation was evaluated by histological and radiographical examinations. Results: BMP-2-treated scaffold yielded significant bone regeneration in the mice calvarial defects. However, a single fraction of external irradiation was observed to eliminate the bone regeneration capacity of the BMP-2-incorporated scaffold without influencing the survival of the animals. Conclusion: The current study established an efficient model for post-radiation cranial bone regeneration and can be applied for evaluating the robust bone formation system using various chemokines or agents in unfavorable, demanding radiation-related bone defect models.

직업상 피폭에 따른 방사선 위험성 평가를 위한 다차원적 모델 (Multidimensional Model for Assessing Risks from Occupational Radiation Exposure of Workers)

  • 배유정;김병수;권다영;김용민
    • 한국방사선학회논문지
    • /
    • 제11권7호
    • /
    • pp.555-564
    • /
    • 2017
  • 직업상 피폭에 대한 현행 방사선 위험성 평가는 종사자의 피폭선량 평가 및 건강진단에 중점을 두고 있다. 이러한 개인 중심의 위험성 평가는 선량계 미착용 및 개개인의 기호로 인한 건강영향 문제 등 정확한 데이터 확보의 어려움으로 인한 오류의 가능성이 있다. 또한 평가의 기준이 되는 선량한도는 법적 최대 상한값으로 방사선 방호에 최적화된 값을 의미하지는 않는다. 이에 선원적, 환경적 및 인적 측면을 복합적으로 고려할 수 있고 방사선방호의 최적화를 이행할 수 있는 국가적 차원의 새로운 위험성 평가 모델이 요구되고 있다. 본 연구에서는 고용노동부의 위험성 평가에 기반하여 개인이 아닌 작업장 중심의 위험성 평가 모델을 연구하였다. 이를 위해 여러 분야의 위험성 추정 방법을 분석하여 방사선 분야에 적용하기 적합한 모델을 도출하고, 모델에 적용하기 위한 데이터 획득 방법 및 절차에 대해 기술하였다. 본 연구에서 도출한 작업장 중심의 다차원적 위험성 평가 모델은 위험성을 점수화하고 Rader Plot을 이용하여 표현함으로서 보다 정확한 방사선 위험성 평가를 가능하게 하며, 결론적으로 효율적인 종사자 관리, 선제적 종사자 보호 및 방사선 방호의 최적화 이행에 기여할 것으로 판단된다.

Development of a standardized mucositis and osteoradionecrosis animal model using external radiation

  • Seo, Mi Hyun;Lee, Min Young;Eo, Mi Young;Lee, Suk Keun;Woo, Kyung Mi;Kim, Soung Min
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
    • /
    • 제46권4호
    • /
    • pp.240-249
    • /
    • 2020
  • Objectives: Although the side effects of radiation therapy vary from mucositis to osteomyelitis depending on the dose of radiation therapy, to date, an experimental animal model has not yet been proposed. The aim of this study was to develop an animal model for assessing complications of irradiated bone, especially to quantify the dose of radiation needed to develop a rat model. Materials and Methods: Sixteen Sprague-Dawley rats aged seven weeks with a mean weight of 267.59 g were used. Atraumatic extraction of a right mandibular first molar was performed. At one week after the extraction, the rats were randomized into four groups and received a single dose of external radiation administered to the right lower jaw at a level of 14, 16, 18, or 20 Gy, respectively. Clinical alopecia with body weight changes were compared and bony volumetric analysis with micro-computed tomography (CT), histologic analysis with H&E were performed. Results: The progression of the skin alopecia was different depending on the irradiation dose. Micro-CT parameters including bone volume, bone volume/tissue volume, bone mineral density, and trabecular spaces, showed no significant differences. The progression of osteoradionecrosis (ORN) along with that of inflammation, fibrosis, and bone resorption, was found with increased osteoclast or fibrosis in the radiated group. As the radiation dose increases, osteoclast numbers begin to decrease and osteoclast tends to increase. Osteoclasts respond more sensitively to the radiation dose, and osteoblasts are degraded at doses above 18 Gy. Conclusion: A standardized animal model clinically comparable to ORN of the jaw is a valuable tool that can be used to examine the pathophysiology of the disease and trial any potential treatment modalities. We present a methodology for the use of an experimental rat model that incorporates a guideline regarding radiation dose.

Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients

  • Jeon, Wan;An, Hyun Joon;Kim, Jung-in;Park, Jong Min;Kim, Hyoungnyoun;Shin, Kyung Hwan;Chie, Eui Kyu
    • Journal of Radiation Protection and Research
    • /
    • 제44권4호
    • /
    • pp.149-155
    • /
    • 2019
  • Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

단자엽 모델 식물의 방사선원 별 처리에 따른 유전적 다형성 분석 (Genetic Relationship of Mono-cotyledonous Model Plant by Ionizing Irradiation)

  • 송미라;김선희;장덕수;강시용;김진백;김상훈;하보근;김동섭
    • 방사선산업학회지
    • /
    • 제6권1호
    • /
    • pp.23-29
    • /
    • 2012
  • In this study, we investigated the genetic variation in the general of monocot model plant (rice) in response to various ionizing irradiations including gamma-ray, ion beam and cosmic-ray. The non-irradiated and three irradiated (200 Gy of gamma-ray and 40 Gy of ion beam and cosmic-ray) plants were analyzed by AFLP technique using capillary electrophoresis with ABI3130xl genetic analyzer. The 29 primer combinations tested produced polymorphism results showing a total of 2,238 bands with fragments sizes ranged from 30 bp to 600 bp. The number of polymorphism generated by each primer combinations was varied significantly, ranging from 2 (M-CAC/E-ACG) to 158 (M-CAT/E-AGG) with an average of 77 bands. Polymorphic peaks were detected as 1,269 with an average of 44 per primer combinations. By UPGMA (Unweighted Pair Group Method using Arithmetic clustering) analysis method, the clusters were divided into non-irradiated sample and three irradiated samples at a similarity coefficient of 0.41 and three irradiation samples was subdivided into cosmic-ray and two irradiation samples (200 Gy of gamma-ray and 40 Gy of ion beam) at similarity coefficient of 0.48. Similarity coefficient values ranged from 0.41 to 0.55.