• The Korean Journal of Physiology and Pharmacology
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• 제23권5호
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• pp.305-310
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• 2019

The physiomic approach is now widely used in the diagnosis of cardiovascular diseases. There are two possible methods for cardiovascular physiome: the traditional mathematical model and the machine learning (ML) algorithm. ML is used in almost every area of society for various tasks formerly performed by humans. Specifically, various ML techniques in cardiovascular medicine are being developed and improved at unprecedented speed. The benefits of using ML for various tasks is that the inner working mechanism of the system does not need to be known, which can prove convenient in situations where determining the inner workings of the system can be difficult. The computation speed is also often higher than that of the traditional mathematical models. The limitations with ML are that it inherently leads to an approximation, and special care must be taken in cases where a high accuracy is required. Traditional mathematical models are, however, constructed based on underlying laws either proven or assumed. The results from the mathematical models are accurate as long as the model is. Combining the advantages of both the mathematical models and ML would increase both the accuracy and efficiency of the simulation for many problems. In this review, examples of cardiovascular physiome where approaches of mathematical modeling and ML can be combined are introduced.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제17권1호
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• pp.1-14
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• 2013

Stochastic phenomena induce us to construct a probability model and structure our thinking; corresponding models help us to understand and interpret the reality. They in turn equip us with tools to recognize, reconstruct and solve problems. Therefore, various implications in terms of methodology as well as epistemology naturally flow from different adoptions of models for probability. Right from the basic scenarios of different perspectives to explore reality, students are occasionally exposed to misunderstanding and misinterpretations. With realistic examples a multi-faceted image of probability and different interpretation will be considered in mathematical modelling activities. As an exploratory investigation, mathematical modelling activity for probability learning was elaborated through semiotic analysis. Especially, the coherence structure in mathematical modelling discourse was reviewed form a semiotic perspective. The discourses sampled from group activities were analyzed on the basis of semiotic perspectives taxonomical coherence relations.

• 대한수학교육학회지:수학교육학연구
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• 제27권1호
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• pp.69-88
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• 2017

본 연구에서는 수학적 모델링 활동이 창의적 사고를 촉진하는 것이 가능한지 이론적으로 타진하고, 가능하다면 어떤 모델링 과제를 설계하여 촉진할 수 있으며, 실제 수학적 모델링 활동에서 창의적 사고는 어떠한 방식으로 드러나는지 확인하는 데 목적을 둔다. 연구 결과, 학생들이 다양한 수학적 모델을 생성하고, 각자 생성한 수학적 모델을 검토하고 개선하면서 수학적 모델링을 진행하는 장면이 확인되었다. 그리고 이러한 수학적 모델링 과정에서 수학적 창의성의 요인들인 유창성, 유연성, 독창성, 정교성의 발현을 확인할 수 있었다.

• 한국수학사학회지
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• 제24권2호
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• pp.47-59
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• 2011

일정 영역에 서식하는 생물 종의 개체 수가 변화하는 역학적 과정을 이해하고 실질적인 예측을 하는데 도움을 주는 여러가지 수학적 모델이 현재 수학과 생태학 분야에서 활발하게 연구되고 있다. 영국의 경제학자 Malthus가 1798년부터 시작하여 1826년까지 출간한 An Essay on the Principle of Population에서 제안했던 세계인구 변화 모델과 1845년 Verhulst의 한계수용모델은 개체 수 변화에 대한 초기 수학적 모델로서 지수적 형태에 기초한 것이었다. 수리생물학으로 불리는 학문분야는 1920년경 Lotka의 연구에서 본격적으로 시작되었다고 할 수 있다. 이때부터 여러 가지 다양한 수학적 모델들이 제안되어지고 검증되어져 왔다. 이 논문에서는 주로 상미분방정식(ordinary differential equations)으로 표현되는 단일 생물종에 대한 개체 수 변화모델들을 살펴본다.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제15권2호
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• pp.181-196
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• 2011

In mathematical modeling tasks, where students are exposed to model-eliciting for real and open problems, students are supposed to formulate and use a variety of mathematical skills and tools at hand to achieve feasible and meaningful solutions using appropriate problem solving strategies. In contrast to problem solving activities in conventional math classes, math modeling tasks call for varieties of mathematical ability including mathematical creativity. Mathematical creativity encompasses complex and compound traits. Many researchers suggest the exhaustive list of criterions of mathematical creativity. With regard to the research considering the possibility of enhancing creativity via math modeling instruction, a quantitative scheme to scale and calibrate the creativity was investigated and the assessment of math modeling activity was suggested for practical purposes.

• 대한수학회논문집
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• 제25권2호
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• pp.313-325
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• 2010

General models for the relaxed proximal point algorithm using the notion of relative maximal accretiveness (RMA) are developed, and then the convergence analysis for these models in the context of solving a general class of nonlinear inclusion problems differs significantly than that of Rockafellar (1976), where the local Lipschitz continuity at zero is adopted instead. Moreover, our approach not only generalizes convergence results to real Banach space settings, but also provides a suitable alternative to other problems arising from other related fields.

• 대한수학회보
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• 제45권4호
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• pp.709-715
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• 2008

We construct certain ring class fields over an imaginary quadratic field by making use of Shimura's canonical models and extend the result of Chen-Yui ([1] Theorem 3.7.5(2)) to the case where (a, b, N) $\neq$ N or (a/N, N) $\neq$ 1 for a positive integer N > 1.

• 한국수학사학회지
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• 제33권3호
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• pp.167-177
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• 2020

Cooperative behavior may seem contrary to the notion of natural selection and adaptation, but is widely observed in nature, from the genetic level to the organism. The origin and persistence of cooperative behavior has long been a mystery to scientists studying evolution and ecology. One of the important research topics in the field of evolutionary ecology and behavioral ecology is to find out why cooperation is maintained over time. In this paper we take a historical overview of mathematical models representing cooperative relationships from the perspective of mathematical biology, which studies population dynamics between interacting biological groups, and analyze the mathematical characteristics and meanings of these cooperative models.

• 대한수학회보
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• 제38권3호
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• pp.495-504
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• 2001

In this paper we consider the (generalized) autoregressive model with conditional heteroscedasticity (ARCH/GARCH models). We willing give conditions under which strict stationarity, ergodicity and the functional central limit theorem hold for the corresponding models.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2004년도 전력전자학술대회 논문집(2)
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• pp.997-1000
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• 2004

The mathematical models of the Switched Reluctance machine system integrating the state equation of the phase current with the two dimensions finite element model of the machine are advanced, no matter what the topologies of the main circuit of the power converter and the control strategies are adopted in the system. Based on the mathematical models, the comparison of the simulated and the tested results of a three-phase Switched Reluctance motor drive prototype system are given. The simulated results of the prototype tally with the tested results of the prototype. It is shown that the mathematical models have the advantage in high precision.