• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.6
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• pp.870-875
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• 2013

After introducing diagnosis equipment power failure prevention activities for distribution system have become more active. To do facility diagnosis and maintenance work more efficiently we need to evaluate reliability for the system and should determine the priority line with appropriate criteria. Thus, to calculate risk factor for the power distribution line that are composed of many component facilities its historical failure events for the last 5 years are collected and analysed. The failure statics show that more than 60% of various failures are related to environment factors randomly and about 20% of the failures are refer to the aging. As a strategic evaluation system reflecting these environmental influence is needed, a system on the basis of the probabilistic approach related statical variables in terms of failure rate and failure probability of electrical components is proposed. The figures for the evaluation are derived from the field failure DB. With adopting Bayesian rule we can calculate easily about conditional probability query. The proposed evaluation system is demonstrated with model system and the calculated indices representing the properties of the model line are discussed.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.375-382
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• 2011

Nowadays computer graphic softwares have opened a lot of potential by providing parametric modeling and generative algorithms which are useful not only to describe various geometrical shapes but also to implement a designer's intent in terms of modules systematically. This study has proposed a way of developing a module for generating preliminary structural configuration using such potential computer graphics. Especially parametric modeling and generative algorithm are utilized to define various design alternatives, and moreover use of dynamic graphics enables designers to generate a structural form on one side and a force flow diagram correspondingly provided on the other. This ultimately leads to rational preliminary design of a structural form considering its force flow.

• Women's Health Nursing
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• v.10 no.1
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• pp.42-50
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• 2004

Purpose: This study was to investigate sexual behavior, pregnancy and contraception knowledge among teenage. Method: The subjects were 627 of teenaged girls from 14 to 19 years old who lived in a capital city. Data was collected by questionnaire surveys used the convenience sampling. The instrument used for this study was contraception knowledge tool. The collected data was analysed by using descriptive statics, chi-square, t-test, ANOVA, Duncan test for post hoc with SPSS program. Result: The finding of Sex experience was kiss and petting experience 196(32%), sex intercourse 44(7.2%) and pregnancy 6(1%). Average of contraception knowledge was 3.8 score(total 15). Statically significant general characteristics variable related to sex experience were age, school type, smoking and alcohol use. Statically significant general characteristics variable related to contraception knowledge were age, school type, previous sex education and contraception education. Conclusion: These results of this study provided health professional informations to develop intervention programs to reduce teenage pregnancy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1137-1140
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• 2005

The work presented in this paper describes a Hidden Markov Model(HMM)-based framework for face recognition and face detection. The observation vectors used to characterize the statics of the HMM are obtained using the coefficients of the Karhuman-Loves Transform(KLT). The face recognition method presented in this paper reduces significantly the computational complexity of previous HMM-based face recognition systems, while slightly improving the recognition rate. In addition, the suggested method is more effective than the exiting ones in face extraction in terms of accuracy and others even under complex changes to the surroundings such as lighting.

• Korea journal of population studies
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• v.13 no.1
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• pp.3-25
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• 1990

Life table of Korean population for years 1983 1985 1987 and 1989 were constructed byt the National Bureau of Statics. The ago specific death rates were calculated froom the death registral ion for numerators and the estimated population by age and sex for denominators. In the course of constructing life tables, we have maole some adjustments for deficiencies in regist rat ion olata as follows. First, the non-registered portion oof infant deaths especially for neo-natal deaths was estirnateol and added too the original data. The main reason is that deaths occorring in the neo-natal period and prior to the registrat ion of birth leave little incentive for the registration of either the birth or the death. Second. t he do~hayed p(ortioon of deaths registering after one year of occurrence was estimated and added too the original data. Third t the ptortioon haying in, occuracies in ,~oge reporting was also estimated. Fourth the moving average methood was finally employed in an effort too remove the random error. The major fin(hings are as foolloows. 1. the average life expectancy at birth in 1989 is calculateol as 70.8 years in 1989, 2. a gap netween the male and female life expectancies is widened to more than 8 years toorm 1.8 years in 1906 10. It means that the female life expectancy has increased substantially, 3. the death rates of the middle - aged men starting age 40 are found to he relatively higher than those of females and younger age groups. This peculiar pattern was also found with the comparison of those of other countries.

• 사회경제평론
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• v.31 no.3
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• pp.131-163
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• 2018

The long-run equilibrium of an economy is a situation where all firms in the economy realize the condition of 'extra profits = 0'. The conventional partial equilibrium (PE) analysis, which is based on the assumption of 'ceteris paribus', conflicts logically with the long run equilibrium. 'Full industry equilibrium' (FIE) deals with long-run equilibrium in the framework of partial equilibrium; FIE requires the adjustment of more variables than PE. The comparative statics analysis of FIE shows that many results of the conventional PE does not hold. The present paper intends to introduce the background and significance of FIE. In its course, the paper discusses similarities and differences between FIE and the Capital Controversies of the 1960s and 1970s, and highlights the critical and constructive significances of FIE.

• Structural Engineering and Mechanics
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• v.68 no.5
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• pp.633-638
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• 2018

One of the important problems in the vehicle design is vehicle handling and stability. Effective parameters which should be considered in the vehicle handling and stability are roll angle, camber angle and scrub radius. In this paper, a planar vehicle model is considered that two right and left suspensions are double wishbone suspension system. For a better analysis of the suspension geometry, a kinestatic model of vehicle is considered which instantaneous kinematic and statics relations are analyzed simultaneously. In this model, suspension geometry is considered completely. In order to optimum design of double wishbones suspension system, a multi-objective genetic algorithm is applied. Three important parameters of suspension including roll angle, camber angle and scrub radius are taken into account as objective functions. Coordinates of suspension hard points are design variables of optimization which optimum values of them, corresponding to each optimum point, are obtained in the optimization process. Pareto solutions for three objective functions are derived. There are important optimum points in these Pareto solutions which each point represents an optimum status in the model. In other words, corresponding to any optimal point, a specific geometric position is determined for the suspension hard points. Each of the obtained points in the Pareto optimization can be selected for a special design purpose by designer to create an optimum condition in the vehicle handling and stability.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.27-35
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• 2019

Fashion Influencer of Instagram get a lot of attention from the public, and they play a major role in shaping peoples' taste. This study attempts to analyze the fashion design of fashion influencer in Instagram. The data was collected from Apr. 15th to April 30th, 2017, and the pictures were collected from May, 2016 to April, 2017. Total of 460 pictures were collected based on the number of "likes". The method of study was content analysis and the cross tabulation analysis and frequency using SPSS Statics 24 Based on the above results, influencers were mostly models that have many "likes" on their photos. Many of influencers were wearing black, white, or blue dresses that do not have any patterns. Many others were wearing indigo, black, or white jeans with T-shirts. In summary of the above contents, influencer also found out that the materials of their clothes were both hard and soft, and that the casual style was the most popular among influencer, and that influencer also liked elegant, modern, mannish, or sexy looks. Therefore, through this study, it was found that the fashion design of influencer had a unique fashion image. Gigi Hadid, Kendall Jenner, and Blake Lively are the representative influencers of fashion instagram. Gigi Hadid was a casual and manish image, Kendall Jenner was a casual and sexy image, and Blake Lively was an elegant image.

• Earthquakes and Structures
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• v.24 no.6
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• pp.429-437
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• 2023

This paper studied the prediction of structural damage indices to buildings after earthquake occurrence using Multiple Linear Regression (MLR) and Fuzzy Linear Regression (FLR) methods. Particularly, the structural damage degree, represented by the Maximum Inter Story Drift Ratio (MISDR), is an essential factor that ensures the safety of the building. Thus, the seismic response of a steel building was evaluated, utilizing 65 seismic accelerograms as input signals. Among the several response quantities, the focus is on the MISDR, which expresses the postseismic damage status. Using MLR and FLR methods and comparing the outputs with the corresponding evaluated by nonlinear dynamic analyses, it was concluded that the FLR method had the most accurate prediction results in contrast to the MLR method. A blind prediction applying a set of another 10 artificial accelerograms also examined the model's effectiveness. The results revealed that the use of the FLR method had the smallest average percentage error level for every set of applied accelerograms, and thus it is a suitable modeling tool in earthquake engineering.

• Journal of Korea Artificial Intelligence Association
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• v.1 no.1
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• pp.11-16
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• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.