• 제목/요약/키워드: national model

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Performance evaluation of composite moment-frame structures with seismic damage mitigation systems using wavelet analyses

  • Kaloop, Mosbeh R.;Son, Hong Min;Sim, Hyoung-Bo;Kim, Dongwook;Hu, Jong Wan
    • Structural Engineering and Mechanics
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    • 제74권2호
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    • pp.201-214
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    • 2020
  • This study aims at evaluating composite moment frame structures (CFS) using wavelet analysis of the displacement behavior of these structures. Five seismic damage mitigation systems' models of 9-story CFS are examined namely, basic (Model 1), reinforced (Model 2), buckling restrained braced (BRB) (Model 3), lead rubber bearing (LRB) (Model 4), and composite (Model 5) moment frames. A novel integration between continuous and discrete wavelet transforms is designed to estimate the wavelet power energy and variance of measurements' behaviors. The behaviors of the designed models are evaluated under influence of four seismic loads to study the dynamic performance of CFS in the frequency domain. The results show the behaviors of models 3 and 5 are lower than other models in terms of displacement and frequency performances. Model 3 has been shown lower performances in terms of energy and variance wavelets along the monitoring time; therefore, Model 3 demonstrates superior performance and low probability of failure under seismic loads. Furthermore, the wavelet variance analysis is shown a powerful tool that can be used to assess the CFS under seismic hazards.

Moving reactor model for the MULTID components of the system thermal-hydraulic analysis code MARS-KS

  • Hyungjoo Seo;Moon Hee Choi;Sang Wook Park;Geon Woo Kim;Hyoung Kyu Cho;Bub Dong Chung
    • Nuclear Engineering and Technology
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    • 제54권11호
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    • pp.4373-4391
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    • 2022
  • Marine reactor systems experience platform movement, and therefore, the system thermal-hydraulic analysis code needs to reflect the motion effect on the fluid to evaluate reactor safety. A moving reactor model for MARS-KS was developed to simulate the hydrodynamic phenomena in the reactor under motion conditions; however, its applicability does not cover the MULTID component used in multidimensional flow analyses. In this study, a moving reactor model is implemented for the MULTID component to address the importance of multidimensional flow effects under dynamic motion. The concept of the volume connection is generalized to facilitate the handling of the junction of MULTID. Further, the accuracy in calculating the pressure head between volumes is enhanced to precisely evaluate the additional body force. Finally, the Coriolis force is modeled in the momentum equations in an acceleration form. The improvements are verified with conceptual problems; the modified model shows good agreement with the analytical solutions and the computational fluid dynamic (CFD) simulation results. Moreover, a simplified gravity-driven injection is simulated, and the model is validated against a ship flooding experiment. Throughout the verifications and validations, the model showed that the modification was well implemented to determine the capability of multidimensional flow analysis under ocean conditions.

Using zebrafish as an animal model for studying rare neurological disorders: A human genetics perspective

  • Dilan Wellalage Don;Tae-Ik Choi;Tae-Yoon Kim;Kang-Han Lee;Yoonsung Lee;Cheol-Hee Kim
    • Journal of Genetic Medicine
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    • 제21권1호
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    • pp.6-13
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    • 2024
  • Rare diseases are characterized by a low prevalence, which often means that patients with such diseases are undiagnosed and do not have effective treatment options. Neurodevelopmental and neurological disorders make up around 40% of rare diseases and in the past decade, there has been a surge in the identification of genes linked to these conditions. This has created the need for model organisms to reveal mechanisms and to assess therapeutic methods. Different model animals have been employed, like Caenorhabditis elegans, Drosophila, zebrafish, and mice, to investigate the rare neurological diseases and to identify the causative genes. While the zebrafish has become a popular animal model in the last decade, mainly for studying brain development, understanding neural circuits, and conducting chemical screens, the mouse has been a very well-known model for decades. This review explores the strengths and limitations of using zebrafish as a vertebrate animal model for rare neurological disorders, emphasizing the features that make this animal model promising for the research on these disorders.

Estimating Concentrations of Pesticide Residue in Soil from Pepper Plot Using the GLEAMS Model

  • Jin, So-Hyun;Yoon, Kwang-Sik;Shim, Jae-Han;Choi, Woo-Jung;Choi, Dong-Ho;Kim, Bo-Mi;Lim, Sang-Sun;Jung, Jae-Woon;Lee, Kyoung-Sook;Hong, Su-Myeong
    • 한국환경농학회지
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    • 제30권4호
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    • pp.357-366
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    • 2011
  • BACKGROUND: Mathematical model such as GLEAMS have been developed and successfully applied to upland fields to estimate the level of pesticide residues in soil. But, the GLEAMS model rarely applied to the Korean conditions. METHODS AND RESULTS: To evaluate pesticide transport in soil residue using the GLEAMS model from pepper plot, Alachlor, Endosulfan, Cypermethrin and Fenvalerate were applied for standard and double rate. Soil sampling was conducted and decaying patterns of pesticides were investigated. Observed climate data such as temperature and irrigation amount were used for hydrology simulation. The observed pesticide residue data of 2008 were used for parameter calibration, and validation of GLEAMS model was conducted with observed data of 2009. After calibration, the $K_{oc}$ (Organic carbon distribution coefficient) and WSHFRC (Washoff fraction) parameters were identified as key parameters. The simulated concentrations of the pesticides except Fenvalerate were sensitive to $K_{oc}$ parameter. Overall, soil residue concentrations of Alachlor, Cypermethrin and Fenvalerate were fairly simulated compared to those of Endosulfan. The applicability of the GLEAMS model was also confirmed by statistical analysis. CONCLUSION(s): GLEAMS model was eligible for evaluation of pesticide soil residue for Alachlor, Cypermethrin and Fenvalerate.

의약품 처방 데이터 기반의 지역별 예상 환자수 및 위험도 예측 (A Prediction of Number of Patients and Risk of Disease in Each Region Based on Pharmaceutical Prescription Data)

  • 장정현;김영재;최종혁;김창수;나스리디노프 아지즈
    • 한국멀티미디어학회논문지
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    • 제21권2호
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    • pp.271-280
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    • 2018
  • Recently, big data has been growing rapidly due to the development of IT technology. Especially in the medical field, big data is utilized to provide services such as patient-customized medical care, disease management and disease prediction. In Korea, 'National Health Alarm Service' is provided by National Health Insurance Corporation. However, the prediction model has a problem of short-term prediction within 3 days and unreliability of social data used in prediction model. In order to solve these problems, this paper proposes a disease prediction model using medicine prescription data generated from actual patients. This model predicts the total number of patients and the risk of disease in each region and uses the ARIMA model for long-term predictions.

설악산 국립공원의 산양 보호구역 설정기법에 관한 연구: 서식지 적합성 모형, 서식지 수용능력, 최소 존속 개체군 이론을 이용하여 (Establishing a Korean Goral (Nemorhaedus caudatus raddeanus Heude) Reserve in Soraksan National Park, Korea: Based on Habitat Suitability Model, Habitat Capability Model, and the Concept of Minimum Viable Population)

  • 최태영;박종화
    • 한국조경학회지
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    • 제32권6호
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    • pp.23-35
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    • 2005
  • Korean goral (Nemorhaedus caudatus raddeanus) is an endangered species in Korea, and the rugged terrain of the Sorksan National Park $(373km^2)$ is a critical habitat for the species. Since the goral population is threatened by habitat fragmentation, it is essential to establish a reserve for the isolated goral population. The objective of this study was to propose a reserve for Korean goral in the national Park We employed habitat suitability model, habitat capability model, and the concept of minimum viable population. The results of the study were as follows. First, the carrying capacity and optimal density of gorals in the national park were projected to be 449 gorals, and 251 gorals, respectively Second, since only one patch was projected to satisfy the criteria of minimum viable population (50 individuals/during 50 years), the long term extinction possibility of gorals in the site would be very high. Finally, the patch that satisfy the minimum viable population of goral was proposed as the core zone of the goral reserve and adjacent patches were included as buffer zones.

조산원의 건강보험수가 산출방법과 추계 (Methods and Estimates of the Reimbursement for the Nurse Midwifery Center in the National Health Insurance)

  • 임효민;김진현
    • 여성건강간호학회지
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    • 제17권4호
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    • pp.328-336
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    • 2011
  • Purpose: The purpose of this study is to develop the optimal nursing fee for nurse-midwifery center (MC) in the national health insurance system. Methods: The three methodologies used to calculate the conversion factors for the MCs in the national health insurance include cost accounting method, sustainable growth rate (SGR) model, and index model. In this study, the macro-economic indicators and the national statistics were used to estimate the conversion factors for the MCs. Results: The optimal nursing fee for the MCs in 2011 was estimated to be an increase of 57.7% by cost accounting analysis, a decrease of 17.1% by SGR model, and a decrease of 16.1% by index model. The results from SGR model and index model could had been biased due to the upswing of medical spendings in the short-term period (2008~2009). A sensitivity analysis of pre-delivery subsidy program for OB & GYN hospitals and clinics showed that the program has substantially diminished the demand for the MC services. Conclusion: More reliable methodologies to estimate nursing fees precisely are required to prove the value of nurses' services and a government subsidy program for the MC services should be followed from a social perspective.

입자추적모델을 이용한 마산만 북부 해역에서의 육상오염물질 확산 수치모의 (Numerical Simulation for Dispersion of Anthropogenic Pollutant in Northern Masan Bay using Particle Tracking Model)

  • 김진호;정우성;홍석진;이원찬;정용현;김동명
    • 수산해양교육연구
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    • 제28권4호
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    • pp.1143-1151
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    • 2016
  • To study the dispersion process and residence time of anthropogenic pollutant in Masan bay, a three-dimensional hydrodynamic model coupled to a particle tracking model, EFDC, is applied. Particle tracking model simulated the instantaneous release of particles emulating discharge from river and wastewater treatment plant to show the behaviour of pollutant in terms of water circulation and water exchange. Modelled outcomes for water circulation were in good agreement with tidal elevation and current data. The results of particle tracking model show that over half of particles released from northern Masan bay transport to out of area while the particles from Dukdong wastewater treatment plant transport to northern area. This meant pollution source from inside and outside of the northern area can affect water quality of northern Masan bay.

On-the-fly energy release per fission model in STREAM with explicit neutron and photon heating

  • Nhan Nguyen Trong Mai;Woonghee Lee;Kyeongwon Kim;Bamidele Ebiwonjumi;Wonkyeong Kim;Deokjung Lee
    • Nuclear Engineering and Technology
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    • 제55권3호
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    • pp.1071-1083
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    • 2023
  • The on-the-fly energy release per fission (OTFK) model is implemented in STREAM to continuously update the Kappa values during the depletion calculation. The explicit neutron and photon energy distribution, which has not been considered in previous STREAM versions, is incorporated into the existing on-the-fly model. The impacts of the modified OTFK model with explicit neutron and photon heating in STREAM on the power distribution, fuel temperature, and other core parameters during depletion with feedback calculations are studied using several problems from the VERA benchmark suit. Overall, the explicit heating calculation provides a better power map for the feedback calculations particularly when strong gamma emitters are present. Generally, the fuel temperature decreases when neutron and photon heating is employed because fission neutrons and gamma rays are transported away from their points of generation. This energy release model in STREAM indicates that gamma energy accounts for approximately 9.5%-10% of the total energy released, and approximately 2.4%-2.6% of the total energy released will be deposited in the coolant for the VERA 5, NuScale, and Yonggwang Unit 3 2D cores.