• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.437-441
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• 2006

본 논문에서는 Active Appearance Model과 EFM을 기반으로 하는 실시간 표정인식 시스템을 설명한다. AAM은 얼굴추적, 얼굴인식 그리고 물체인식과 같은 시스템에 널리 사용되어 지고 있다. 시스템에 사용된 AAM은 Inverse Compositional Image Alignment를 적용한Independent AAM으로서 fitting 속도가 빨라 실시간 시스템에 매우 효과 적이다. 시스템의 성능 평가는 Cohn-Kanade Image DB의 표정영상과 연속영상을 사용하여 실시 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.860-864
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• 2010

하천은 유속과 수심을 변화시키는 환경과 수역에서 고수부지까지의 다양한 지형변화, 홍수에 의한 파괴와 재생 등 하천 특유의 조건을 가지고 있어 여러 생물이 공존하여 살 수 있는 환경을 가지고 있다. 근래 하천은 친수성을 높이고 하천오염문제를 해결하기 위해 자연친화적인 하천으로 개발 방향이 바뀌고 있지만, 생물 서식처 기능 보다는 친수성이 강조되는 경우가 많다. 본 연구에서는 하천에 도입을 원하는 식생에 대한 환경유량을 분석하여 도입 가능한 하천 영역을 찾는 것이 목적이다. 연구대상지역은 황룡강이며 지형자료는 HEC-RAS의 횡단자료를 이용하여 유한요소망으로 만들어 사용하였다. 하천 식생을 고려한 환경유량을 계산하기 위하여 HEC-EFM을 이용하였다. 연구지역의 수위-유량자료, 도입 가능한 식생의 Life Cycle을 분석하여 HEC-EFM에 입력하여 환경유량을 계산하였다. 산정한 환경유량을 HEC-RAS모형으로 모의하여 환경유량에 맞는 수위 유량을 계산하고 이 결과를 HEC-GeoRAS모형을 이용하여 도입 가능한 영역을 시각화 하였다.

• Corrosion Science and Technology
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• v.20 no.5
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• pp.231-241
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• 2021

The objective of this study was to evaluate total current under steady-state conditions for a material undergoing corrosion using the electrochemical frequency modulation (EFM) technique, taking into account the presence of solution resistance and double layer capacitance. The analysis involving linearization of the Tafel curve allowed for the estimation of corrosion parameters. Results showed that the output signal was dependent on fundamental frequencies and their multiples. In addition, the output signal almost manifested itself at frequencies that were sums of fundamental frequencies of the applied sinusoidal signal. The harmonics calculated showed a significant shift from the principal frequency of input signals. The investigation involved the influence of corrosion current and anode-to-cathode Tafel slope ratio on faradaic and non-faradaic currents (including the average and RMS). The model presented showed both qualitative and quantitative improvements over the previously developed EFM technique that ignored the influence of solution resistance and the double layer capacitance while assuming the applied DC potential corresponded to the corrosion potential of the corroding material.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.144-144
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• 2020

국내의 하천은 급격한 도시화 및 산업화로 인해 자연하천의 모습은 사라지고 이수와 치수 기능 위주의 하천관리가 이루어졌다. 하천은 치수기능을 강조하여 인공적으로 변화하였을 뿐만 아니라 하천생태환경 내에 서식하는 동식물의 서식 환경에도 교란을 야기하였다. 최근 하천관리의 패러다임이 변화함에 따라서, 하천이 갖는 자연적 특성을 회복하는 환경적 측면을 강조한 생태하천 복원사업에 대한 관심이 높아지고 있으나, 수생생물 서식지 복원과 생태계에 필요한 환경유량에 관한 정량적인 평가를 위한 연구는 부족한 실정이다. 본 연구는 경상북도 김천시와 구미시를 관류하여 낙동강으로 합류되는 감천을 대상으로 하였으며, 댐 건설로 인한 하천 생태계 변화 및 하천유량에 대한 통계적 분석, 수리 모델링, 하천구역의 공간적 분석을 진행하였다. 통계적 분석을 위한 시계열 자료 구축은 감천 하류에 있는 선산관측소의 2002년 ~ 2019년까지 수위, 유량을 사용하였으며, 김천부항댐이 건설 된 2014년 1월 1일을 기점으로 댐 건설 전(2002 ~ 2013)과 댐 건설 후(2014 ~ 2019)로 구분하였다. HEC-EFM(Ecosystem Function Model)을 활용하여 어류를 포함한 수생생물의 성공적인 서식을 위한 환경유량을 산정하였다. 산정된 환경유량을 HEC-GeoRAS(Geographic River Analysis System)와 HEC-GeoEFM(Geographic Ecosystem Function Model)을 적용·연계하여 수생식생 도입이 가능한 하천 구간과 어류 산란 및 성장에 적합한 하천구간을 표현하였으며, 댐 건설 전후의 서식지 면적을 계산하여 수생생물의 성공적인 서식환경이 조성되었는지 확인하였다. 본 연구를 바탕으로 수생생물의 하천 서식지 개선을 위한 명확한 환경유량을 수립하는 데 도움이 될 것으로 판단된다.

• Earthquakes and Structures
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• v.7 no.5
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• pp.719-733
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• 2014

The equivalent frame method (EFM) is widely used for the design of two-way reinforced concrete slab structures, and current design codes of practice permit the application of the EFM in analyzing the flat plate slab structures under gravity and lateral loads. The EFM was, however, originally developed for the flat plate structures subjected to gravity load, which is not suitable for lateral loading case. Therefore, this study, the first part of series research paper, proposed the structural analysis method for the flat plate slab structures under the combined gravity and lateral loads, which is named as the unified equivalent frame method (UEFM). In the proposed method, some portion of rotation induced in the torsional member is distributed to the flexibility of the equivalent columns, and the remaining portion is contributed to that of the equivalent slabs. In the consecutive companion paper, the proposed UEFM is verified by comparing with test results of multi-span flat plate structures. Also, a simplified nonlinear push-over analysis method is proposed, and verified by comparing to test results.

• Journal of Dairy Science and Biotechnology
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• v.38 no.2
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• pp.112-120
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• 2020

This study was conducted to verify the physiological activity of heat-killed Enterococcus faecalis EF-2001 probiotics in fermented milk. The anti-inflammatory effects of fermented milk supplemented with different concentrations (0, 100, and 500 ㎍/mL) of E. faecalis EF-2001 were determined using MTT assay and nitric oxide inhibition assay. The MTT assay was performed using RAW 264.7 cells. Results revealed that the rates of cytotoxicity and cell survival decreased significantly with increase in the concentration of heat-killed probiotics (p<0.05). Moreover, fermented milk supplemented with 100 ㎍/mL EF-2001 (EFM1) and the fermented milk supplemented with 500 ㎍/mL EF-2001 (EFM2) exhibited higher nitric oxide inhibition than normal fermented milk (NFM). Additionally, EFM2 significantly reduced the ratio of prostaglandin E₂ compared to NFM (p<0.05). In conclusion, the treatment sample showed higher anti-inflammatory activity than NFM. The findings of this study could be used as a basic guideline for manufacturing of NFM supplemented with heat-killed probiotics.

• Water for future
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• v.46 no.11
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• pp.58-62
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• 2013

• Journal of the Korean Chemical Society
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• v.58 no.2
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• pp.160-168
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• 2014

The electrochemical behavior and corrosion inhibition of zinc in 0.5 M $H_2SO_4$ in the absence and presence of some chromones has been investigated using weight loss, potentiodynamic polarization, electrochemical impedance spectroscopy (EIS) and electrochemical frequency modulation (EFM) techniques. The presence of these investigated compounds in the corrosive solutions decrease the weight loss, the corrosion current density, and double layer capacitance but increases the charge transfer resistance. Polarization studies were carried out at room temperature, and showed that all the studied compounds act as mixed type inhibitors with a slight predominance of cathodic character. The effect of temperature on corrosion inhibition has been studied and the thermodynamic activation and adsorption parameters were determined and discussed. The adsorption of the investigated compounds on zinc was found to obey Langmuir adsorption isotherm.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2000.04b
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• pp.449-457
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• 2000

The paper describes the study of global approximate optimization utilizing soft computing techniques such as genetic algorithms (GA's), neural networks (NN's), and fuzzy inference systems(FIS). GA's provide the increasing probability of locating a global optimum over the entire design space associated with multimodality and nonlinearity. NN's can be used as a tool for function approximations, a rapid reanalysis model for subsequent use in design optimization. FIS facilitates to handle the quantitative design information under the case where the training data samples are not sufficiently provided or uncertain information is included in design modeling. Properties of soft computing techniques affect the quality of global approximate model. Evolutionary fuzzy modeling (EFM) and adaptive neuro-fuzzy inference system (ANFIS) are briefly introduced for structural optimization problem in this context. The paper presents the success of EFM depends on how optimally the fuzzy membership parameters are selected and how fuzzy rules are generated.

• Journal of Mechanical Science and Technology
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• v.14 no.11
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• pp.1206-1215
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• 2000

This paper introduces the application of evolutionary fuzzy modeling (EFM) in constructing global function approximations to subsequent use in non-gradient based optimizations strategies. The fuzzy logic is employed for express the relationship between input training pattern in form of linguistic fuzzy rules. EFM is used to determine the optimal values of membership function parameters by adapting fuzzy rules available. In the study, genetic algorithms (GA's) treat a set of membership function parameters as design variables and evolve them until the mean square error between defuzzified outputs and actual target values are minimized. We also discuss the enhanced accuracy of function approximations, comparing with traditional response surface methods by using polynomial interpolation and back propagation neural networks in its ability to handle the typical benchmark problems.