• 한국염색가공학회지
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• 제4권2호
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• pp.84-88
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• 1992

셀룰로오스 펄프에 폴리비닐알코올의 블랜드, 가교, 및 카복시메칠화한 아니온성 셀룰로오스계 고분자 흡착제에 대한 모델 카치온 염료, C.I. Basic Red 18의 흡착 및 탈색 성능을 수용액계(pH 4.2)에서 검토하였다. 아니온성 셀룰로오스 고분자 흡착제의 카치온 모델 염료의 흡착등온성은 저농도 영역에서 Sigmoidal 형을 나타내었고 Donnan 흡착 모델 기구로 해석하였다. 하전기 도입에 따라 염료의 흡착능은 증가하였으며 이 흡착능력은 Sodium이온의 첨가에 의하여 저하하였다. 또 아니온 셀룰로오스계 흡착제에 의한 모델 염료의 배수 탈색율은 크게 증가하였으며 입상활성탄보다 우수한 탈색능력을 나타내었다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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• pp.219-221
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• 2012

The concave utility in the Network Utility Maximization (NUM) problem is only suitable for elastic flows. In networks with multiclass traffic, the utility can be concave, linear, step or sigmoidal. Hence, the basic NUM becomes a nonconvex optimization problem. The current approach utilizes the standard dual-based decomposition method. It does not converge in case of scarce resource. In this paper, we propose an algorithm that always converges to a local optimal solution to the nonconvex NUM after solving a series of convex approximation problems. Our techniques can be applied to any log-concave utilities.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1997년도 춘계학술대회 논문집
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• pp.305-308
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• 1997

Characteristics of tree propagation and fractal dimension in DGEBA/MDA/GN system were investigated. In the GN contents of 0 and 5 phr, tree was not produced. In the GN content of 10 phr, a reversed sigmoidal behaviour was found but in those of 15 and 20 phr, linear behaviors were found. All electrical trees possessed fractal characteristics. Fractal dimensions of epoxy resin system were almost constant with the variation of observation angles. Since dielectric breakdown occurred earlier in the GN content of 20 phr, fractal characteristics of modified epoxy resin system in a particular term couldnt be investigated.

• ALGAE
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• 제27권1호
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• pp.63-70
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• 2012

Algae are sensitive to a wide range of pollutants, and are effective bioindicators in ecotoxicity assessments. Here, we evaluated the sub-lethal sensitivity of the marine dinoflagellate Cochlodinium polykrikoides upon exposure to copper (Cu), lead (Pb), bisphenol A (BPA), and Aroclor 1016 (polychlorinated biphenyl, PCB). Toxic effects were assessed by observations of the reduction in cell counts and chlorophyll a levels after exposure to each toxicant. C. polykrikoides displayed dose-dependent, sigmoidal responses when exposed to the tested chemicals. $EC_{50}$-72 h values for Cu, Pb, BPA, and PCB were 12.74, 46.70, 68.15, and $1.07mg\;L^{-1}$, respectively. PCB, which is an endocrine-disrupting chemical, was the most sensitive, proving its toxic effect on the dinoflagellate. This study provides baseline data on the toxic effects of commonly used heavy metals and endocrine-disrupting chemicals to a marine dinoflagellate.

• Parasites, Hosts and Diseases
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• 제53권6호
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• pp.755-757
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• 2015

Mouse models of chronic toxoplasmosis and atopic dermatitis (AD) were combined to clarify the effect of opportunistic Toxoplasma gondii infection on the development of AD. AD was induced as a chronic contact hypersensitivity (CHS) with repeated challenge of 2,4,6-trinitro-1-chlorobenzene (TNCB) on the dorsal skin of mice. TNCB induced skin thickness increases in both normal and toxoplasmic mice. The changing patterns were different from the sigmoidal which saturated at 20 days in normal mice to the convex saturated at 12 days in toxoplasmic mice with the crossing at 18 days. Compared to normal mice, toxoplasmic mice presented CHS more severely in earlier times and then moderately in later times. These data suggest that host immune modification by T. gondii infection enhances CHS in early times of atopic stimulation but soothes the reaction of CHS in later times in mouse model.

• 대한수학회지
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• 제41권6호
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• pp.957-976
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• 2004

It is well known that the application of the nonlinear coordinate transformations is useful for efficient numerical evaluation of weakly singular integrals. In this paper, we consider the trapezoidal rule combined with a nonlinear transformation $\Omega$$_{m}$(b;$\chi$), containing a parameter b, proposed first by Yun [14]. It is shown that the trapezoidal rule with the transformation $\Omega$$_{m}$(b;$\chi$), like the case of the Gauss-Legendre quadrature rule, can improve the asymptotic truncation error by using a moderately large b. By several examples, we compare the numerical results of the present method with those of some existing methods. This shows the superiority of the transformation $\Omega$$_{m}$(b;$\chi$).TEX>).

• 음성과학
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• 제15권4호
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• pp.85-96
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• 2008

Automatic speech recognition has severe performance degradation under noisy environments. To cope with the noise problem, many methods have been proposed. Most of them focused on noise-robust features or model adaptation. However, researchers have overlooked utterance verification (UV) under noisy environments. In this paper we discuss UV problems based on the normalized confidence measure. First, we show that UV performance is also degraded in noisy environments with the experiments of an isolated word recognition. Then we observe how the degradation of UV performances is suffered. Based on the UV experiments we propose a modeling method of the statistics of phone confidences using sigmoid functions. For obtaining the parameters of the sigmoidal models, the particle swarm optimization (PSO) is adopted. The proposed method improves 20% rejection performance. Our experimental results show that the PSO-NCM can apply noise speech recognition successfully.

• Journal of the Korean Statistical Society
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• 제31권1호
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• pp.63-75
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• 2002

Most attempts at Bayesian analysis of neural networks involve hierarchical modeling. We believe that similar results can be obtained with simpler models that require less computational effort, as long as appropriate restrictions are placed on parameters in order to ensure propriety of posterior distributions. In particular, we adopt a model first introduced by Lee (1999) that utilizes an improper prior for all parameters. Straightforward Gibbs sampling is possible, with the exception of the bias parameters, which are embedded in nonlinear sigmoidal functions. In addition to the problems posed by nonlinearity, direct sampling from the posterior distributions of the bias parameters is compounded due to the duplication of hidden nodes, which is a source of multimodality. In this regard, we focus on sampling from the marginal posterior distribution of the bias parameters with Markov chain Monte Carlo methods that combine traditional Metropolis sampling with a slice sampler described by Neal (1997, 2001). The methods are illustrated with data examples that are largely confined to the analysis of nonparametric regression models.

• 약학회지
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• 제31권3호
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• pp.173-181
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• 1987

Protein methylase I has been partially purified from hog pancreas with a 11% yeild. The final preparation is completely free of any other protein-specific methyltransferases and endogenous substrate proteins. The enzyme has an optimum pH of 7.2 and the approximate molecular weight is above 800 thousands dalton. The Km values for S-adenosyl-L-methionine and histone type II-A are 1.32$\times$10$^{-5}$M. The Ki value for S-adenosyl-L-homocysteine is 1.52$\times$10$^{-6}$M. The effect of enyzme concentration on the activity showed a slight sigmoidal curve suggesting the involvement of certain cofactors. Even though the purified enzyme showed two bands on polyacrylamide gel electrophoresis, the enzyme is highly specific for the arginine residues of protein and specifically, highly specific for histone, suggesting histonespecific protein methylase I.

• 전자공학회논문지A
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• 제31A권8호
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• pp.62-71
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• 1994

A novel semiconductor device is proposed to be used as a processing element for the implementation of pulse-mode neural networks which consists of alternating n' GaAs quantum wells and undoped AlGaAs barriers sandwitched between n' GaAs cathode and P' GaAs anode and in simple circuit in conjunction with a parallel capacitive and resistive load the trigger circuit generates neuron-like pulse train output mimicking the function of axon hillock of biological neuron. It showed the sigmoidal relationship between the frequency of the pulse-train and the applied input DC voltage. In conjunction with MQWIMD the various neural circuits are proposed especially a neural chip monolithically integrated with photodetectors in order to perfrom the pattern recognition.