• 대한토목학회논문집
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• 제14권6호
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• pp.1341-1348
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• 1994

본 연구는 박지입구에서의 흐름이 갖는 전단력에 의해 발생하는 박지내의 순환현상을 파악하기 위한 기초적 연구로서, 이를 위해 유한해석법을 이용하여 박지유동모형을 구성하였으며, 이를 유한차분법에 의한 유동모형과 비교해 봄으로써 다음과 같은 성과를 얻었다. 격자간격이 Von Neumann 안정조건에 근접함에 따라 Askren의 유한차분법 모형에서는 정상상태로의 수렴시간이 길어졌으나 유한해석 모형에서는 보다 짧은 시간내에 정상상태로 수렴하는 것으로 나타났으며, 특히 격자간격이 안정조건을 넘는 영역에서 Askren의 유한차분 모형에서는 발산현상이 일어나는데 반해 유한해석 모형에서는 해가 수렴하는 것으로 나타났다. 또한 박지 Reynolds수가 큰 유동에 대해서는 유한해석법을 사용함으로써 보다 적은 계산단계에서 정상수치해를 얻을 수 있는 것으로 나타났다.

• 한방비만학회지
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• 제13권1호
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• pp.24-32
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• 2013

Objectives: The aim of this study is to investigate anti-imflammatory and protective effect for intestinal epithelial cells with Atractylodes macrocephae (AM), a traditional Korean Herbal medicine and fermented Atractylodes macrocephae (FAM) with Lactobacillus plantarum. Methods: HCT-116 and Raw 264.7 cells were used in this study. Using NO assay, we measured lipopolysaccharide (LPS)-induced anti-inflammatory effect. We measured permeability of intestinal epithelial cells with transepithelial electrical resistance and horseradish peroxide flux assay. Water soluble tetrazolium salt assay was used to see cell proliferation. All the results were presented in mean and standard deviation. We used Student's t-test for analyzing significance of results. Results: In Raw 264.7 cells NO production decreased 22.4% with pre-treatment of AM and FAM, especially with FAM in high concentration. In HCT-116 cells LPS-induced intestinal permeability had a protective effect with both AM and FAM, which was also tend to be proportional to the concentration. Cell viability increased up to 135.52% after treatment of high concentration of FAM in HCT-116, while there was no significant change in Raw 264.7 cells with herb treatments. Conclusions: These results show evidence that AM, especially fermented ones, significantly reduced intestinal membrane permeability. They also had a protective effect as well as an anti-inflammation effect for HCT-116 and Raw 264.7 cells. This suggest that FAM may be a therapeutic agent for Leaky gut syndrome by reducing intestinal permeability.

• 대한토목학회논문집
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• 제13권3호
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• pp.129-138
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• 1993

본 연구는 Navier-Stokes 식의 모형방정식으로 이류 및 확산거동을 갖는 선형화된 Burgers 방정식과 비선형 형태의 Burgers 방정식을 선택하여, 이에 대한 유한차분법과 유한해석법의 수치해를 해석해와 비교하여 봄으로써, 유한해석법의 응용성에 대해 고찰한 것이다. 본 연구를 통하여 얻어진 성과를 요약하면 다음과 같다. Burgers 방정식 및 선형화된 Burgers 방정식의 정상상태의 해석해를 사용하여 두 수치기법에 따른 수치해를 비교해 본 결과, 해석해와의 근사정도를 동일 기준 하에서 살펴볼 때, 유한해석법이 유한차분법보다 우수한 것으로 나타났다. Burgers 방정식의 비정상상태의 해석해에 대한 정확성 또한 유한해석법이 보다 잘 일치하는 것으로 나타났다. 특히 유한해석법은 유한차분법의 사용시 격자 크기의 선택에 따라 해의 수렴과정에서 발생할 수 있는 위상오차에 기인한 진동현상이 전혀 발생하지 않는다는 것을 확인할 수 있었으며, 따라서 유한해석법은 수치기법상 위상오차로부터 자유로운 안정된 해석기법이라고 판단된다.

• 한국통신학회논문지
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• 제37권3A호
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• pp.172-178
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• 2012

This paper studies the application of a fuzzy-ARTMAP (FAM) neural network to multi-user detector (MUD) for direct sequence (DS)-code division multiple access (CDMA) system. This method shows new solution for solving the problems, such as complexity and long training, which is found when implementing the previously developed neural-basis MUDs. The proposed FAM based MUD is fast and easy to train and includes capabilities not found in other neural network approaches; a small number of parameters, no requirements for the choice of initial weights, automatic increase of hidden units, no risk of getting trapped in local minima, and the capabilities of adding new data without retraining previously trained data. In simulation studies, binary signals were generated at random in a linear channel with Gaussian noise. The performance of FAM based MUD is compared with other neural net based MUDs in terms of the bit error rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권7호
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• pp.2683-2702
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• 2015

A Content-based Image Retrieval (CBIR) system employs visual features rather than manual annotation of images. The selection of optimal features used in classification of images plays a key role in its performance. Category proliferation problem has a huge impact on performance of systems using Fuzzy Artmap (FAM) classifier. The proposed CBIR system uses a modified version of FAM called Non-Proliferation Fuzzy Artmap (NPFAM). This is developed by introducing significant changes in the learning process and the modified algorithm is evaluated by extensive experiments. Results have proved that NPFAM classifier generates a more compact rule set and performs better than FAM classifier. Accordingly, the CBIR system with NPFAM classifier yields good retrieval.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.122-125
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• 1998

In this article, a reduction method for nominal variables is presented and its use illustrated. Factor analysis model (FAM) generally enables us to reduce variables having interval or ratio scale based on their correlation coefficients. We developed an extensive method that makes FAM applicative to the case of nominal variables which does not give correlation coefficients, but only the degree of association. Cramer's V coefficient is a well-established measure that provides the strength of association for nominal variables with a range of [0,1]. When Cramer's V coefficient can logically substitute for correlation coefficient, FAM would be extensively used for reduction of nominal variables.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.315-320
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• 1997

Rule minimization technique adapted from rough set theory was applied to remove redundant knowledge which is not necessary to make a knowledge base. New algorithm to diagnose fault using Improved Fuzzy Cognitive Maps(I-FCMs), and Fuzzy Associative Memory(FAM) is proposed. I-FCM[22] is superior to gathering knowledge from many experts and descries dynamic behaviors of systems very well. I-FCM is not only a knowledge base, but also a inference engine. FAM has learning capability like neural network[12]. Rule minimization and composition of I-FCM and FAM make it possible to construct compact knowledge base and breaks the border between inference engine and knowledge base.

• 제어로봇시스템학회논문지
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• 제13권3호
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• pp.192-197
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• 2007

This paper presents Hybrid PI controller of IPMSM drive using fuzzy adaptive mechanism(FAM) control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller, Hybrid PI controller proposes a new method based self tuning PI controller. Hybrid PI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

• Journal of Advanced Marine Engineering and Technology
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• 제31권4호
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• pp.417-424
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• 2007

This paper presents a solution that an analytical model for an induction motor and the formula of regenerative power and instantaneous torque are derived. based on the spiral vector. The torque is controlled linearly through variations of the slip angular velocity, based on the field acceleration method (FAM). And also PWM inverter fed induction motor drives is schemed to be easily a regenerative drive. The voltage source inverter fed induction motor drives that regenerative power occurs with back current type is presented, to easily controlled the feedback power and to proper the adaption of energy shaving drives. The experimental tests verify the performance of the FAM, proving that food behavior of the drive is achieved in the transient and steady state operating condition, and are discussed to save the power that regenerative power is measured at the operating acceleration or deceleration of servo system.

• Journal of Electrical Engineering and information Science
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• 제2권5호
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• pp.72-78
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• 1997

This paper presents a fuzzy relaxation algorithm, which is based on the possibility and FAM instead of he probability and compatibility coefficients used in most of existing probabilistic relaxation algorithms, Because of eliminating stages for estimating of compatibility coefficients and normalization of the probability estimates, the proposed fuzzy relaxation algorithms increases the parallelism and has a simple iteration scheme. The construction of fuzzy relaxation scheme consists of the following three tasks: (1) definition of in/output linguistic variables, their term sets, and possibility. (2) Definition of FAM rule bases for relaxation using fuzzy compound relations. (3) Construction of the iteration scheme for calculating the new possibility estimate. Applications to region segmentation an ege detectiojn algorithms show that he proposed method can be used for not only reducing the image ambiguity and segmentation errors, but also enhancing the raw edge iteratively.