• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• The Journal of Korean Physical Therapy
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• 제22권2호
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• pp.39-46
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• 2010

Purpose: This study was designed to determine whether General Coordinative Manipulation (GCM) Intervention Models have effects on the balanced restoration of asymmetrical muscles in the extremities. Methods: Fifty-nine healthy subjects (1st hypothesis: n=40, 2nd hypothesis: n=19) participated in studies using the two GCM intervention models. Subjects were studied 2 times a week for 3 weeks. Electromyography (EMG) was used to measure muscle activity, and measurements were performed before and after the application of the each intervention model. Results: Hypothesis 1: GCM Intervention, which coordinates flexion types of muscle contractions of the upper extremity and extension types of muscle contractions of the lower extremity (excluding self-care) is effective for treating shows the treatment in efficiency on more than two 2 of 3 muscles (vastus medialis, gastrocnemius medial, and deltoid middle) and the effects affects on more than 3 types of 4 body types (Vastus medialis, Gastrocnemius medial of Body type III, p<0.05). GCM body type was classified by the relative tilting of right and left scapulars and iliums into four groups. Hypothesis 2: GCM Intervention, which coordinates flexion types of muscle contractions of the lower extremity and extension types of muscle contractions of the upper extremity (excluding self-care) is effective for treating more than two 2 of 3 muscles (vastus medialis, gastrocnemius medial, and deltoid middle) and the effects affects on more than 2 types of 3 body types (p>0.05).

• Preventive Nutrition and Food Science
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• 제13권3호
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• pp.225-230
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• 2008

Onion slices were dehydrated in a single layer at drying air temperatures ranging from $50{\sim}70^{\circ}C$ in a laboratory scale convective hot-air dryer at an air velocity of 0.66 m/s. The effect of drying air temperature on the drying kinetic characteristics were determined. It was found that onion slices would dry within $210{\sim}460\;min$ under these drying conditions. Moisture transfer during dehydration was described by applying the Fick's diffusion model and the effective diffusivity changed between $1.345{\times}10^{-8}$ and $2.658{\times}10^{-8}\;m^2/s$. A non-linear regression procedure was used to fit 9 thin layer drying models available in the literature to the experimental drying curves. The Logarithmic model provided a better fit to the experimental drying data as compared to other models. Temperature dependency of the effective diffusivity during the hot-air drying process obeyed the Arrhenius relationship with estimated activation energy being 31.36 kJ/mol. The effect of the drying air temperature on the drying model constants and coefficients were also determined.

• Structural Engineering and Mechanics
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• 제74권3호
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• pp.381-394
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• 2020

The structural performance of cold-formed steel (CFS) built-up battened columns were numerically investigated in this paper. The built-up column sections were formed by connecting two-lipped channels back-to-back, with a regular spacing of battens plates, and have been investigated in the current study. Finite element models were validated with the test results reported by the authors in the companion paper. Using the validated models, the parametric study was extended, covering a wider range of overall slenderness to assess the accuracy of the current design rules in predicting the design strengths of the CFS built-up battened columns. The parameters viz., overall slenderness, different geometries, plate slenderness (b/t ratio) and yield stress were considered for this study. In total, a total of 228 finite element models were analyzed and the results obtained were compared with current design strength predicted by Effective Width Method of AISI Specifications (AISI S100:2016) and European specifications (EN1993-1-3:2006). The parametric study results indicated that the current design rules are limited in predicting the accuracy of the design strengths of CFS built-up battened columns. Therefore, a design equation was proposed for the AISI and EC3 specifications to predict the reliable design strength of the CFS Built-up battened columns and was also verified by the reliability analysis.

• Geomechanics and Engineering
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• 제33권5호
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• pp.487-506
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• 2023

Looking from the past to the present, the earthquakes can be said to be type of disaster with most casualties among natural disasters. Soil liquefaction, which occurs under repeated loads such as earthquakes, plays a major role in these casualties. In this study, analytical equation models were developed to predict the probability of occurrence of soil liquefaction. In this context, the parameters effective in liquefaction were determined out of 170 data sets taken from the real field conditions of past earthquakes, using WEKA decision tree. Linear, Exponential, Power and Quadratic models have been developed based on the identified earthquake and ground parameters using Krill Herd algorithm. The Exponential model, among the models including the magnitude of the earthquake, fine grain ratio, effective stress, standard penetration test impact number and maximum ground acceleration parameters, gave the most successful results in predicting the fields with and without the occurrence of liquefaction. This proposed model enables the researchers to predict the liquefaction potential of the soil in advance according to different earthquake scenarios. In this context, measures can be realized in regions with the high potential of liquefaction and these measures can significantly reduce the casualties in the event of a new earthquake.

• KCI Concrete Journal
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• 제13권2호
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• pp.49-57
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• 2001

Flat-plate buildings are commonly modeled as two-dimensional frames to calculate unbalanced moments, lateral drift and shear at slab-column connections. The slab-column frames under lateral loads are analyzed using effective beam width models, which is convenient for computer analysis. In this case, the accuracy of this approach depends on the exact values of effective beam width to account for the actual behavior of slab-column connections. In this parametric study, effective beam width coefficients for wide range of the variations are calculated on the several types of slab-column connections, and the results are compared with those of other researches. Also the formulas for effective beam width coefficients are proposed and verified by finite element analysis. The proposed formulas are founded to be more suitable than others for analyzing flat-plate buildings subjected to lateral loading.

• Bulletin of the Korean Chemical Society
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• 제33권5호
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• pp.1527-1535
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• 2012

Selection of the most informative molecular descriptors from the original data set is a key step for development of quantitative structure activity/property relationship models. Recently, mutual information (MI) has gained increasing attention in feature selection problems. This paper presents an effective mutual information-based feature selection approach, named mutual information maximization by replacing collinear variables (MIMRCV), for nonlinear quantitative structure-property relationship models. The proposed variable selection method was applied to three different QSPR datasets, soil degradation half-life of 47 organophosphorus pesticides, GC-MS retention times of 85 volatile organic compounds, and water-to-micellar cetyltrimethylammonium bromide partition coefficients of 62 organic compounds.The obtained results revealed that using MIMRCV as feature selection method improves the predictive quality of the developed models compared to conventional MI based variable selection algorithms.

• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.65-76
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• 2014

주택가격은 정부의 부동산 정책이나 국내외의 경기상황과 같은 외부충격요인에 따라 많은 영향을 받는다. 본 연구에서는 주택가격지수 예측을 위한 모형구축에서 중요한 요인은 외부충격요인으로 이를 개입효과라 하며, 이 외부요인들이 주택가격지수에 미치는 영향을 파악하고 향후 주택가격지수를 효율적으로 예측하기 위한 시계열모형을 찾는데 있다. 실제 자료를 이용하여 분석한 예측결과 개입모형이 다른 모형에 비해 우수한 것으로 나타났다.

• 한국유체기계학회 논문집
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• 제10권2호
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• pp.22-31
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• 2007

This paper describes the shape optimization of rotor blade in a transonic axial compressor rotor. Three surrogate models, Kriging, radial basis neural network and response surface methods, are introduced to find optimum blade shape and to compare the characteristics of object function at each optimal design condition. Blade sweep, lean and skew are considered as design variables and adiabatic efficiency is selected as an objective function. Throughout the shape optimization of the compressor rotor, the predicted adiabatic efficiency has almost same value for three surrogate models. Among the three design variables, a blade sweep is the most sensitive on the object function. It is noted that the blade swept to backward and skewed to the blade pressure side is more effective to increase the adiabatic efficiency in the axial compressor Flow characteristics of an optimum blade are also compared with the results of reference blade.

• 보건행정학회지
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• 제2권1호
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• pp.80-114
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• 1992

Current compensation schemes for medical malpractice based on negligence is absolutely malfunctioning in Korea. Focussing on the reform of present tort systems for resolving medical malpractice disputes, this paper discusses the alternative models of the Social Relief Schemes for Medical Malpractice (SRSMM). Alternative models of SRSMM should fundamentally be based on either negligence or nofalult compensation principle. On the foundation of the previous relief principle, the SRSMM should be equupped with three major components-the preventio/reduction of the sharp increasing medical malpractice, the effective and efficient resolving process for malpractice disputes and the proper social financing scheme for compensation. The paper deals with pros and cons of the possible alternative models for reform centering on the three major components of the scheme. As conclusions, administrative arbitration machinaries and a compulsory fund for compensating the injured under the negligence principle are proposed to resolve the current problems Korea has faced.