• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.1
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• pp.72-80
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• 2016

Re-auction happens when a bid winner defaults on the payment without making second in-line purchase declaration even after determining sales permission. This is a process of selling under the court's authority. Re-auctioning contract price of real estate is largely influenced by the real estate business, real estate value, and the number of bidders. This paper is designed to establish a statistical model that deals with the number of bidders participating especially in apartment re-auctioning. For these, diverse factors are taken into consideration, including ratio of minimum sales value from the point of selling to re-auctioning, number of bidders at the time of selling, investment value of the real estate, and so forth. As an attempt to consider ambiguous and vague factors, this paper presents a comparatively vague concept of real estate and bidders as trapezoid fuzzy number. Two different methods based on the least squares estimation are applied to fuzzy regression model in this paper. The first method is the estimating method applying substitution after obtaining the estimators of regression coefficients, and the other method is to estimate directly from the estimating procedure without substitution. These methods are provided in application for re-auction data, and appropriate performance measure is also provided to compare the accuracies.

• Magazine of the Korean Society of Agricultural Engineers
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• v.38 no.2
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• pp.108-122
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• 1996

This study was to introduced estimation model for optimum probabilistic rainfall intensity on hydrological area. Originally, probabilistic rainfall intensity formula have been characterized different coefficient of formula and model following watersheds. But recently in korea rainfall intensity formula does not use unionize applyment standard between administration and district. And mingle use planning formula with not assumption model. Following the number of year hydrological duration adjust areal index. But, with adjusting formula applyment was without systematic conduct. This study perceive the point as following : 1) Use method of excess probability of Iwai to calculate survey rainfall intensity value. 2) And, use method of least squares to calculate areal coefficient for a unit of 157 rain gauge station. And, use areal coefficient was introduced new probabilistic rainfall intensity formula for each rain gauge station. 3) And, use new probabilistic rainfall intensity formula to adjust a unit of fourteen duration-a unit of fifteen year probabilistic rainfall intensity. 4) The above survey value compared with adjustment value. And use three theory of error(absolute mean error, squares mean error, relative error ratio) to choice optimum probabilistic rainfall intensity formula for a unit of 157 rain gauge station.

• Biotechnology and Bioprocess Engineering:BBE
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• v.11 no.1
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• pp.61-66
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• 2006

The simple Langmuir isotherm is frequently employed to describe the equilibrium behavior of protein adsorption on a wide variety of adsorbents. The two adjustable parameters of the Langmuir isotherm - the saturation capacity, or $q_m$, and the dissociation constant, $K_d$ - are usually estimated by fitting the isotherm equation to the equilibrium data acquired from batch equilibration experiments. In this study, we have evaluated the possibility of estimating $q_m$ and $K_d$ for the adsorption of bovine serum albumin to a cation exchanger using batch kinetic data. A rate model predicated on the kinetic form of the Langmuir isotherm, with three adjustable parameters ($q_m,\;K_d$, and a rate constant), was fitted to a single kinetic profile. The value of $q_m$ determined as the result of this approach was quantitatively consistent with the $q_m$ value derived from the traditional batch equilibrium data. However, the $K_d$ value could not be retrieved from the kinetic profile, as the model fit proved insensitive to this parameter. Sensitivity analysis provided significant insight into the identifiability of the three model parameters.

• Journal of IKEEE
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• v.23 no.2
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• pp.469-473
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• 2019

In the case of renewable generation resources, the supply capacity is determined by the climate and environment factors unlike the existing generators. Therefore, it is necessary to calculate the capacity vlaue for estimating the supply capacity of renewable generation sources. In this paper, a case study on the estimation method of capacity vlaue of renewable generation resources and a verification using data of Jeju-Island power system are presented. This paper is different from the existing researches because of estimating the capacity value of renewable generation resources for the Jeju-Island power system, which has a high ratio of renewable generation.

• Geomechanics and Engineering
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• v.30 no.5
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• pp.449-460
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• 2022

Safe underground construction in a rock mass requires adequate ground investigation and effective determination of rock conditions. The estimation of rock mass behavior is difficult, because rock masses are innately anisotropic and heterogeneous at different scales and are affected by various environmental factors. Quantitative rock mass classification systems, such as the Q-system and rock mass rating, are widely used for characterization and engineering design. The measurement of rock classification parameters is subjective and can vary among observers, resulting in questionable accuracy. Geophysical investigation methods, such as seismic surveys, have also been used for ground characterization. Torsional shear wave propagation characteristics in cylindrical rods are equal to that in an infinite media. A probabilistic quantitative relationship between the Q-value and shear wave velocity is thus investigated considering long-wavelength wave propagation in equivalent continuum jointed rock masses. Individual Q-system parameters are correlated with stress-dependent shear wave velocities in jointed rocks using experimental and numerical methods. The relationship between the Q-value and the shear wave velocity is normalized using a defined reference condition. This relationship is further improved using probabilistic analysis to remove unrealistic data and to suggest a range of Q-values for a given wave velocity. The proposed probabilistic Q-value estimation is then compared with field measurements and cross-hole seismic test data to verify its applicability.

• Journal of the Korean Home Economics Association
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• v.18 no.4
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• pp.87-94
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• 1980

This study was carried out to make a comparison between iced and partial freezing of bastard, yellow tail, poragy, pomfret that were generally used for Sashimi and the results that measured k-value, VB-N, TMA-N were measured and the results are as follows : 1. Regardless of the kinds of fish, freshness is better preserved in partial freezing than in iced storage. 2. In Bastard, Yellow tail When iced its freshness estimation index its K-value rose above 20% after 4 days of storage. When stored partially frozen, its K-value reached 20% after 8 days. 3. Porgy when iced, its K-value reach 20% after 6 days of storage. But when stored partially frozen, its K-value could be prolonged until 9 days with same degree. Porge was preserved for the longest time among the four fishes. 4. Pomfret When iced during 4 days and stored partially frozen during 6 days, their K-value reached about 20% Pomfret was preserved for the shortest time among the four fishes. 5. According to the kinds of fish, the results that measured VB-N, TMA-N, total bacteria have some differences, but the method of partial freezing was superior to iced storage.

• Korean Journal of Organic Agriculture
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• v.13 no.4
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• pp.357-373
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• 2005

There is a controversy on developing or preserving Kwangduksan(Mt.) located in Cheonan and Asan. Kwangduksan has a grand scenery, many of cultural properties, and rare animals and plants like fireflies. So the citizens of Cheonan and Asan have recognized its cultural and ecological value as yet. In this study, an economic basis for preserving it was presented to prevent developing thoughtless for the environment. Preservation value of it was estimated about 44 billions by CVM. This result shows the environmental value of Kwangduksan is very great. If people feel importance of environmental resources more and more, this value of Kwangduksan will be greater and greater.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.118-119
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• 2019

In this study, we compared the proctor penetration resistance test value of the concrete using CGS for Fine Aggregate and the hardness value of the Durometer. The results are summarized as follows. 1) Surface finish The Durometer C type setting time measurement value was about 45 HD, and the hardness value of the Durometer D type was about 5HD. 2) The proctor penetration resistance test value and the hardness value of the Durometer are highly correlated and are expected to be easy to use.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.2
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• pp.223-230
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• 2012

The strength of brittle material has commonly been characterized by a normal distribution or Weibull distribution, but it may fit the gamma distribution for some material. The use of an extreme value distribution is proper when the largest values of a set of stresses dominate the failure of the material. This paper presents a formula for reliability estimation based on stress-strength interference theory that is applicable when the strength of material is distributed like a gamma distribution and the stress is distributed like an extreme value distribution. We verified the validity of the equation for the reliability estimation by examining the relationships among the factor of safety, the coefficient of variation, and the reliability. The required minimum factor of safety and the highest allowable coefficient of variation of stress can be estimated by choosing an objective reliability and estimating the reliabilities obtained for various factors of safety and coefficients of variation.

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.87-92
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• 2007

Recently, developments of process monitoring system in order to detect and diagnose process abnormalities has got the spotlight in process systems engineering. Normal data obtained from processes provide available information of process characteristics to be used for modeling, monitoring, and control. Since modern chemical and environmental processes have high dimensionality, strong correlation, severe dynamics and nonlinearity, it is not easy to analyze a process through model-based approach. To overcome limitations of model-based approach, lots of system engineers and academic researchers have focused on statistical approach combined with multivariable analysis such as principal component analysis (PCA), partial least squares (PLS), and so on. Several multivariate analysis methods have been modified to apply it to a chemical process with specific characteristics such as dynamics, nonlinearity, and so on.This paper discusses about missing value estimation and sensor fault identification based on process variable reconstruction using dynamic PCA and canonical variate analysis.