• 제목/요약/키워드: Combination Model

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A unified approach to shear and torsion in reinforced concrete

  • Rahal, Khaldoun N.
    • Structural Engineering and Mechanics
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    • v.77 no.5
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    • pp.691-703
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    • 2021
  • Reinforced concrete (RC) beams can be subjected to a complex combination of shear forces (V), torsional moments (T), flexural moments (M) and axial loads (N). This paper proposes a unified approach for the analysis of these elements. An existing model for the analysis of orthogonally reinforced concrete membrane elements subjected to in-plane shear and normal stresses is generalized to apply to the case of beams subjected to the complex loading. The combination of V and T can be critical. Torsion is modelled using the hollow-tube analogy. A direct equation for the calculation of the thickness of the equivalent hollow tube is proposed, and the shear stresses caused by V and T are combined using a simple approach. The development and the evaluation of the model are described. The calculations of the model are compared to experimental data from 350 beams subjected to various combinations of stress-resultants and to the calculations of the ACI and the CSA codes. The proposed model provides the most favorable results. It is also shown that it can accurately model the interaction between V and T. The proposed model provides a unified treatment of shear in beams subjected to complex stress-resultants and in thin membrane elements subjected to in-plane stresses.

Teaching and Learning Effects of Structural-Mapping used Instruction in Permutation and Combination (구조적 동형을 활용한 순열과 조합의 교수.학습 효과)

  • Kim, Won-Kyoung;Hong, Gab-Ryong;Lee, Jong-Hak
    • Communications of Mathematical Education
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    • v.25 no.3
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    • pp.607-627
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    • 2011
  • The purpose of this study is to analyse teaching and learning effects of the structural-mapping used instruction and to find out the characteristics of problem solving process in permutation and combination. For this study, two classes of 11th grade students(67 students) were randomly selected from S high school in D city. One of them was assigned to the experimental group and the other to the control group, respectively. Four lectures of the structural-mapping used instruction were carried out in the experimental group and same amount of lectures of the text book oriented instruction were carried out in the control group. The research findings are as follows. First, the structural-mapping used instruction is shown to be more effective in achievement than the traditional textbook-oriented instruction. Second, the ball-box model is found out to be easier and simpler than the selection-distribution model. Third, students who used the ball-box model are properly able to use both model.

Performance Analysis of Low-Order Surface Methods for Compact Network RTK: Case Study

  • Song, Junesol;Park, Byungwoon;Kee, Changdon
    • Journal of Positioning, Navigation, and Timing
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    • v.4 no.1
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    • pp.33-41
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    • 2015
  • Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

Analysis of Impact Factors for the Improvement of Conceptual Cost Estimation Accuracy for Public Office Building (공공청사 개산견적 정확도 향상을 위한 공사비 영향요인 분석)

  • Jo, Yeong-Ho;Yun, Seok-Heon
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.5
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    • pp.495-506
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    • 2021
  • A Conceptual cost estimate, which is computed in the preliminary step of a project, is important for decision-making by a contractor in terms of the project budget, economic feasibility and validity analysis, and alternative comparisons. Therefore, a high error rate of a prediction model for a conceptual cost estimate can lead to various problems including excessive project expenditures and a delayed break-even point. this study proposed optimal impact factors by configuring quantitative impact factors computable in a preliminary step in various cases(combinations of impact factors). subsequently, the accuracy of different cases was comparatively analyzed by using the cases as input values of a prediction model using regression analysis. when the optimal combination of impact factors proposed in this study and other combination of impact factors were applied to the prediction model, the regression analysis-based prediction model exhibited 0.2-4.7% improvements in accuracy, respectively. the optimal combination of impact factors proposed in this study improved the accuracy of the prediction model of a conceptual cost estimate by removing unnecessary impact factor.

Inhibitory Effect of IFN-$\beta$, on the Antitumor Activity of Celecoxib in U87 Glioma Model

  • Kim, Eun-Kyoung;Chung, Dong-Sup;Shin, Hye-Jin;Hong, Yong-Kil
    • Journal of Korean Neurosurgical Society
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    • v.46 no.6
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    • pp.552-557
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    • 2009
  • Objective : Interferon-$\beta$, (IFN-$\beta$) has been used in the treatment of cancers. Inhibition of the enzyme cyclooxygenase (COX) with celecoxib had a significantly suppressive effect on tumor growth, angiogenesis, and metastasis in a variety of tumors. The aim of this study was to elucidate the antiglioma effect of combined treatment with IFN-$\beta$ and celecoxib in U87 glioma model. Methods : The in vitro effects of IFN-$\beta$ (50-1,000 IU/mL) and celecoxib ($50-250\;{\mu}M$) alone or combination of both on the proliferation and apoptosis of U87 cells were tested using MTT assay, FACS analysis and DNA condensation. To determine the in vivo effect, nude mice bearing intracerebral U87 xenograft inoculation were treated with IFN-$\beta$ intraperitoneally ($2{\times}10^5\;IU/day$ for 15 days), celecoxib orally (5, 10 mg/kg) or their combination. Results : IFN-$\beta$ or celecoxib showed an inhibitory effect on the proliferation of U87 cells. When U87 cells were treated with IFN-$\beta$ and celecoxib combination, it seemed that IFN-$\beta$ interrupted the antiproliferative and apoptotic activity of celecoxib. No additive effect was observed on the survival of the tumor bearing mice by the combination of IFN-$\beta$ and celecoxib. Conclusion : These results suggest that IFN-$\beta$ seems to inhibit the antiglioma effect of celecoxib, therefore combination of IFN-$\beta$ and celecoxib may be undesirable in the treatment of glioma.

Effect of Smoking and Alcohol Consumption on Seminal Quality in Young Mice

  • Park, Hyun-Jung;Choung, Eun-Hoi;Kim, Jae-Hwan;Chai, Seung-Youn;Choi, Jin-Yong;Kim, Jin-Hoi;Song, Hyuk
    • Reproductive and Developmental Biology
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    • v.33 no.4
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    • pp.217-222
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    • 2009
  • The purpose of this study is to evaluate the effects of alcohol or cigarette smoking on seminal parameters in a large group of mice model. Nine groups (n=20/group) of mice were treated intensive noxious materials that abdominal injection of 21% (v/v) of ethanol, cigarette smoke (10, 20, 30 minutes/day), and combination of ethanol and 30 minutes of smoking. In addition, vitamin C and selenium were also treated to mice exposed to combination of alcohol and smoking to identify the recovering effect. Sperm viability and motility were significantly decreased in either alcohol consumption or smoking exposed group, and combination of both materials have additive detrimental effects on seminal parameters. Mice groups that exposed to alcohol and smoking showed statistically significant decrease in motility and increase of static spermatozoa. Moreover, combination of both treatments showed cumulative effect in increase of static spermatozoa. Treatments of either vitamin C or selenium dramatically recovered detrimental effects of alcohol and smoking on seminal quality, although combination of both antioxidant molecules did not show any additive effect. In conclusion, detrimental effects of alcohol and cigarette consumption on sperm quality and motility were identified in mice model, and these detrimental effects can be compensated to uptake of anti-oxidant molecules.

Combination resonances of porous FG shallow shells reinforced with oblique stiffeners subjected to a two-term excitation

  • Kamran Foroutan;Liming Dai;Haixing Zhao
    • Steel and Composite Structures
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    • v.51 no.4
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    • pp.391-406
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    • 2024
  • The present research investigates the combination resonance behaviors of porous FG shallow shells reinforced with oblique stiffeners and subjected to a two-term excitation. The oblique stiffeners considered in this research reinforce the shell internally and externally. To model the stiffeners, Lekhnitskii's smeared stiffeners technique is utilized. According to the first-order shear deformation theory (FSDT) and stress functions, a nonlinear model of the oblique stiffened shallow shell is established. With regard to the FSDT and von-Kármán nonlinear geometric assumptions, the stress-strain relationships for the present shell system are developed. Also, in order to discretize the nonlinear governing equations, the Galerkin method is implemented. To obtain the required relations for investigating the combination resonance theoretically, the method of multiple scales is applied. For verifying the results of the present research, generated results are compared with previous research. Additionally, a comparison with the P-T method is conducted to increase the validity of the generated results, as this method has illustrated advantages over other numerical methods in terms of accuracy and reliability. In this method, the piecewise constant argument is used jointly with the Taylor series expansion, which is why it is named the P-T method. The effects of stiffeners with different angles, and the effects of material parameters on the combination resonance behaviors of the present system are addressed. With the findings of this research, researchers and engineers in this field may use them as benchmarks for their design and research of porous FG shallow shells.

PRICING OF VULNERABLE POWER EXCHANGE OPTION UNDER THE HYBRID MODEL

  • Jeon, Jaegi;Huh, Jeonggyu;Kim, Geonwoo
    • East Asian mathematical journal
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    • v.37 no.5
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    • pp.567-576
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    • 2021
  • In this paper, we deal with the pricing of vulnerable power exchange option. We consider the hybrid model as the credit risk model. The hybrid model consists of a combination of the reduced-form model and the structural model. We derive the closed-form pricing formula of vulnerable power exchange option based on the change of measure technique.

Sensorless Vector Control of Induction Motor Using the Flux Estimator (자속추정기를 이용한 유도전동기 센서리스 벡터제어)

  • 김경서;조병국
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.52 no.2
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    • pp.87-92
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    • 2003
  • This paper presents a flux estimator for the sensorless vector control of induction motors. The proposed method utilize the combination of the voltage model based on stator equivalent model and the current model based on rotor equivalent model, which enables stable estimation of rotor flux in high speed region and in low speed region. The dynamic performance of proposed method is verified through the experiment. The experimental results show that motors ran easily start even under 150[%] load condition and operate continuously below 0.5[Hz].

Effects of the Combination of Evogliptin and Leucine on Insulin Resistance and Hepatic Steatosis in High-Fat Diet-Fed Mice

  • Shin, Chang Yell;Lee, Hak Yeong;Kim, Gil Hyung;Park, Sun Young;Choi, Won Seok;Sohn, Uy Dong
    • Biomolecules & Therapeutics
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    • v.29 no.4
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    • pp.419-426
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    • 2021
  • In this study, we aimed to investigate the effects of 8 weeks of treatment with a combination of evogliptin and leucine, a branched-chain amino acid, in mice with high-fat diet (HFD)-induced diabetes. Treatment with evogliptin alone or in combination with leucine reduced the body weight of the mice, compared to the case for those from the HFD control group. Long-term treatment with evogliptin alone or in combination with leucine resulted in a significant reduction in glucose intolerance; however, leucine alone did not affect postprandial glucose control, compared to the case for the mice from the HFD control group. Furthermore, the combination of evogliptin and leucine prevented HFD-induced insulin resistance, which was associated with improved homeostasis model assessment for insulin resistance, accompanied by markedly reduced liver fat deposition, hepatic triglyceride content, and plasma alanine aminotransferase levels. The combination of evogliptin and leucine increased the gene expression levels of hepatic peroxisome proliferator-activated receptor alpha, whereas those of the sterol regulatory element-binding protein 1 and stearoyl-CoA desaturase 1 were not altered, compared to the case in the HFD-fed mice (p<0.05). Thus, our results suggest that the combination of evogliptin and leucine may be beneficial for treating patients with type 2 diabetes and hepatic steatosis; however, further studies are needed to delineate the molecular mechanisms underlying the action of this combination.