• 대한화학회지
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• 제12권2호
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• pp.61-64
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• 1968

Compressibility and expansibility of activation, ${\Delta}K^{\neq}\;and\;{\Delta}E^{\neq},$ are defined with the use of general principles that an activation parameter is the difference in partial molar quantities of the parameter for the transition and initial state. Two related parameters, (${\partial}{\Delta}H^{\neq}/{\partial}P)_{\gamma}\;and\;{\Delta}W^{\neq}(=P{\Delta}V^{\neq}),$ are also derived. Simpler interpretation of the existing kinetic data are possible with these activation parameters, while other derivations lead to complicated expressions of no practical significance.

• 한국의류산업학회지
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• 제10권3호
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• pp.394-398
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• 2008

One of barely water soluble ketones, acetophenone (AP) was dissolved in methanol and then was mixed with aqueous solution of C. I. Red Acid 114. In order to find out the role of AP in the dyeing process the rate constants and the activation parameters were calculated. The rate for the dyeing with AP was faster than that without it. Because of the reduced temperature dependence by AP the activation energy ($E_a$) for the dyeing with AP was smaller than that without it. With increasing temperature the activation enthalpy (${\Delta}H^*$), the activation entropy (${\Delta}S^*$), and the activation free energy ($G^*$) decreased, which was more noticeable in dyeing with AP. The rate constants and the activation parameters agreed well with the results from the previous reports that the ability of AP to increase disaggregation of dye molecules, loosening the wool fiber, and wickabilty of dyeing solution made it possible to dye wool fiber at low temperature.

• 한국콘텐츠학회논문지
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• 제21권3호
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• pp.616-625
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• 2021

심층신경망은 임의의 함수를 근사화하는 방법으로 선형모델로 근사화한 후에 비선형 활성함수를 이용하여 추가적 근사화를 반복하는 근사화 방법이다. 이 과정에서 근사화의 성능 평가 방법은 손실함수를 이용한다. 기존 심층학습방법에서는 선형근사화 과정에서 손실함수를 고려한 근사화를 실행하고 있지만 활성함수를 사용하는 비선형 근사화 단계에서는 손실함수의 감소와 관계가 없는 비선형변환을 사용하고 있다. 본 연구에서는 기존의 활성함수에 활성함수의 크기를 변화시킬 수 있는 크기 파라메터와 활성함수의 위치를 변화시킬 수 있는 위치 파라미터를 도입한 파라메트릭 활성함수를 제안한다. 파라메트릭 활성함수를 도입함으로써 활성함수를 이용한 비선형 근사화의 성능을 개선시킬 수 있다. 각 은닉층에서 크기와 위치 파라미터들은 역전파 과정에서 파라미터들에 대한 손실함수의 1차 미분계수를 이용한 학습과정을 통해 손실함수 값을 최소화시키는 파라미터를 결정함으로써 심층신경망의 성능을 향상시킬 수 있다. MNIST 분류 문제와 XOR 문제를 통하여 파라메트릭 활성함수가 기존의 활성함수에 비해 우월한 성능을 가짐을 확인하였다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권9호
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• pp.371-380
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• 2022

합성곱 신경망은 이미지와 같은 격자 형태로 배열된 데이터를 다루는데 널리 사용되고 있는 신경망이다. 일반적인 합성곱 신경망은 합성곱층과 완전연결층으로 구성되며 각 층은 비선형활성함수를 포함하고 있다. 본 논문은 합성곱 신경망의 성능을 향상시키기 위해 결합된 파라메트릭 활성함수를 제안한다. 결합된 파라메트릭 활성함수는 활성함수의 크기와 위치를 변환시키는 파라미터를 적용한 파라메트릭 활성함수들을 여러 번 더하여 만들어진다. 여러 개의 크기, 위치를 변환하는 파라미터에 따라 다양한 비선형간격을 만들 수 있으며, 파라미터는 주어진 입력데이터에 의해 계산된 손실함수를 최소화하는 방향으로 학습할 수 있다. 결합된 파라메트릭 활성함수를 사용한 합성곱 신경망의 성능을 MNIST, Fashion MNIST, CIFAR10 그리고 CIFAR100 분류문제에 대해 실험한 결과, 다른 활성함수들보다 우수한 성능을 가짐을 확인하였다.

• Nuclear Engineering and Technology
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• 제55권4호
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• pp.1571-1584
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• 2023

In this study, a numerical analysis was performed as part of an international joint research project to reproduce a real cable tray fire that occurred in the heater bay area of the turbine building of a nuclear power plant. A sensitivity analysis was performed on various input parameters to derive results consistent with the sprinkler activation time obtained from the fire event analysis. For all sensitive parameters, the normalized sprinkler activation time correlated well with the power function of the normalized sprinkler height. A correlation equation was developed to identify the sprinkler activation time at any location when determining the slope or fire growth rate under the conditions assuming a linear or t-squared heat release rate (HRR) time curve. Various cable fire growth assumptions were used to determine which assumption was better to provide the prediction coincident with the information given from the fire event analysis in terms of the sprinkler activation time and total energy generated from cables damaged by fire. In the comprehensive analysis of all the sensitive parameters, the standard deviation of the input parameters increased as the sprinkler height decreased. Within the range of the sensitivity parameter values given in this study, when considering all sprinkler heights, the standard deviation of the cable model change was the largest and that of the overhang position change was the smallest.

• Nuclear Engineering and Technology
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• 제54권11호
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• pp.4226-4230
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• 2022

The Korea Atomic Energy Research Institute (KAERI) has designed a Hybrid-Low Power Research Reactor (H-LPRR) which can be used for critical assembly and conventional research reactor as well. It is an open tank-in-pool type research reactor (Thermal Power: 50 kW_th) of which the most important applications are Neutron Activation Analysis (NAA), Radioisotope (RI) production, education and training. There are eight irradiation holes on the edge of the reactor core: IR (6 holes for RI production) and NA (2 holes for NAA) holes. In order to quantify the elemental concentration in target samples through the Instrumental Neutron Activation Analysis (INAA), it is necessary to measure neutron spectrum parameters such as thermal neutron flux, the deviation from the ideal 1/E epithermal neutron flux distribution (α), and the thermal-to-epithermal neutron flux ratio (f) for the irradiation holes. In this study, the MCNP6.1 code and FORTRAN 90 language are applied to determine the parameters for the two irradiation holes (NA-SW and NA-NW) in H-LPRR, and in particular its α and f parameters are compared to values of other research reactors. The results confirmed that the neutron irradiation holes in H-LPRR are designed to be sufficiently applied to neutron activation analysis, and its performance is comparable to that of foreign research reactors including the TRIGA MARK II.

• 한국콘텐츠학회논문지
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• 제10권4호
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• pp.10-18
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• 2010

본 논문에서는 유전자알고리즘을 이용한 시그모이드 활성화 함수 파라미터의 최적화와 이중나선기준문제(two spirals benchmark problem)의 입력공간 패턴인식 상태를 분석 한다. 실험을 위하여 캐스케이드 코릴레이션 학습 알고리즘(Cascade Correlation learning algorithm)을 이용한다. 첫 번째 실험에서는 기본적인 시그모이드 활성화 함수를 사용하여 이중나선 문제를 분석하고, 두 번째 실험에서는 시그모이드 활성화 함수(sigmoidal activation function)의 파라미터 값이 서로 다른 함수를 사용하여 8개의 풀을 구성한다. 세 번째 실험에서는 시그모이드 함수의 변위를 결정하는 세 개의 파라미터 값을 유전자 알고리즘을 이용하여 얻고 이 파라미터 값들이 적용된 시그모이드 함수들은 후보뉴런의 활성화를 위해서 사용된다. 이러한 알고리즘의 성능평가를 위하여 각 학습단계 마다 입력패턴공간에서 인식된 이중나선의 형태를 보여준다.

• Bulletin of the Korean Chemical Society
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• 제29권3호
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• pp.575-579
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• 2008

• Bulletin of the Korean Chemical Society
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• 제12권5호
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• pp.468-473
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• 1991

Viscoelastic properties of PET filament fibers on stress relaxation were investigated in the solvents of $H_2$O, 0.05% NaOH and 50% DMF using an Instron (UTM4-100 Tensilon) with solvent chamber. The theoretical stress relaxation equation derived by applying the Ree-Eyring's hyperbolic sine law to dashpot of three element non-Newtonian model was applied to the experimental stress relaxation curves, and the model parameters $G_1,G_2$, ${\alpha}$ and ${\beta}$ were obtained. By analyzing temperature dependency of the relaxation time, the values of activation entropy, activation enthalpy and activation free energy for flow in PET filament fiber were evaluated, the activation free energy being about 25.7 kcal/mol. The self diffusion coefficient and hole distance were obtained from parameters ${\alpha}$, ${\beta}$ and crystallite size in order to study the self diffusion and the orientation of crystallites in amorphous region and the effect of solvent.

• Corrosion Science and Technology
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• 제6권1호
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• pp.7-11
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• 2007

In this study, new evaluation method for the stability and corrosion resistance properties of passive films has been suggested by means of observation of self-activation process in open-circuit state and galvanostatic nanoscale reduction test. The experiments were performed for air-formed oxide film in case of plain carbon steel, and for anodically passivated films formed in aqueous sulfuric acid solutions in case of titanium and 304 stainless steel. From these experimental results, we derived two parameters, $i_{0}$ and $q_{0}$, which characterize the self-activation process and the properties of passive film on a stainless steel surface. The parameter $i_{0}$ was defined as the rate of self-activation, and $q_{0}$, the reduced amount of charge during the self-activation process. In conclusion, it is considered that the stability and corrosion resistance of passive metals and alloys can be evaluated quantitatively by three parameters of $\tau_{0}$, $q_{0}$, and $i_{0}$, which easily obtain by means of observing the self-activation process and galvanostatic nanoscale reduction test.