• Title/Summary/Keyword: Hyper inflation

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General inflation and bifurcation analysis of rubber balloons (고무풍선의 일반화 팽창 및 분기 해석)

  • Park, Moon Shik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.14-24
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    • 2018
  • Several typical hyper-elastic constitutive models that encompass both conventional and advanced ones were investigated for the application of instability problems, including the biaxial tension of a rubber patch and inflation of spherical or cylindrical balloons. The material models included the neo-Hookean model, Mooney-Rivlin model, Gent model, Arruda-Boyce model, Fung model, and Pucci-Saccomandi model. Analyses can be done using membrane equations with particular strain energy density functions. Among the typical strain energy density functions, Kearsley's bifurcation for the Treloar's patch occurs only with the Mooney-Rivlin model. The inflation equation is so generalized that a spherical balloon and tube balloons can be taken into account. From the analyses, the critical material parameters and limit points were identified for material models in terms of the non-dimensional pressure and inflation volume ratio. The bifurcation was then identified and found for each material model of a balloon. When the finite element method was used for the structural instability problems of rubber-like materials, some careful treatments required could be suggested. Overall, care must be taken not only with the analysis technique, but also in selecting constitutive models, particularly the instabilities.

A Study on the North Korean Price : Focusing on currency reform (북한의 물가에 관한 연구: 화폐개혁을 중심으로)

  • Kim, Cheon Koo
    • International Area Studies Review
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    • v.21 no.4
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    • pp.141-158
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    • 2017
  • The purpose of this study is to firstly estimate the inflation rate of North Korea using relative purchasing power parity. Most of the existing studies use North Korean rice prices as proxy to explain changes in North Korean prices. In this study, North Korea's price was estimated by applying purchasing power parity, which was used to estimate the price of socialist countries in the past, to North Korea. Second, it analyzes the impact of North Korea's price inflation after the institutional change of currency reform. We looked at the movements of North Korean prices after the institutional change of currency reform and compared it with the post-monetary reform of other socialist countries. We examine the impact of currency reform on North Korea, focusing on the price. As a result, after the currency reform in 2009, North Korea experienced hyperinflation. The North Korean inflation rate in the model was 3,010.0% in 2010, 195.0% in 2011, 68.0% in 2012 and 48.3% in 2013. After the currency reform of North Korea, the inflation rate is much higher than the socialist countries such as China and Vietnam who had experienced currency reform before. North Korea's monetary reforms are considered to have failed because of the side effects of hyperinflation.

Finite Element Modeling of Rubber Pad Forming Process (고무 패드 성형 공정의 유한요소 모델링)

  • 신수정;이태수;오수익
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.9
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    • pp.117-126
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    • 1998
  • For investigating rubber pad sheet metal forming process, the rubber pad deformation characteristics as well as the contact problem of rubber pad-sheet metal has been analyzed. In this paper, the behavior of the rubber deformation is represented by hyper-elastic constitutive relations based on a generalized Mooney-Rivlin model. Finite element procedures for the two-dimensional responses, employing total Lagrangian formulations are implemented in an implicit form. The volumetric incompressibility condition of the rubber deformation is included in the formulation by using penalty method. The sheet metal is characterized by elasto-plastic material with strain hardening effect and analyzed by a commercial code. The contact procedure and interface program between rubber pad and sheet metal are implemented. Inflation experiment of circular rubber pad identifies the behaviour of the rubber pad deformation during the process. The various form dies and scaled down apparatus of the rubber-pad forming process are fabricated for simulating realistic forming process. The obtaining experimental data and FEM solutions were compared. The numerical solutions illustrate fair agreement with experimental results. The forming pressure distribution according to the dimensions of sheet metal and rubber pads, various rubber models and rubber material are also compared and discussed.

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A Study on the Portfolio Performance Evaluation using Actor-Critic Reinforcement Learning Algorithms (액터-크리틱 모형기반 포트폴리오 연구)

  • Lee, Woo Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.3
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    • pp.467-476
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    • 2022
  • The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.