• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.51-60
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• 2016

This study has two major purposes. One is to find out the impact of learning programming language on deciding major for freshmen who enter the university without specific major and decide their majors from sophomore. Another is to compare between 2015 group without specific major at freshmen and 2013 group who were not required to take program language courses. Our study has several important implications. First, this study is the first attempt to figure out the effects of the program language education on deciding major. Secondly, one can predict the effects and importance of software education which is going to imply to all highschool students starting from 2018. Thirdly, software education may help to alleviate science and engineering aversion.

• The Korean Journal of Applied Statistics
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• v.33 no.1
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• pp.61-74
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• 2020

Interval-valued data, one type of symbolic data, are observed in the form of intervals rather than single values. Each interval-valued observation has an internal variation. Principal component analysis reduces the dimension of data by maximizing the variance of data. Therefore, the principal component analysis of the interval-valued data should account for the variance between observations as well as the variation within the observed intervals. In this paper, three principal component analysis methods for interval-valued data are summarized. In addition, a new method using a truncated normal distribution has been proposed instead of a uniform distribution in the conventional quantile method, because we believe think there is more information near the center point of the interval. Each method is compared using simulations and the relevant data set from the OECD. In the case of the quantile method, we draw a scatter plot of the principal component, and then identify the position and distribution of the quantiles by the arrow line representation method.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1027-1034
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• 2017

In this paper, we propose a new function embedding method that can measure mathematical projections of probability amplitude, probability, average expectation and matrix elements of stationary-state unit matrix at all control operation points of quantum gates. The function embedding method in this paper is to embed orthogonal normalization condition of probability amplitude for each control operating point into a binary scalar operator by using Dirac symbol and Kronecker delta symbol. Such a function embedding method is a very effective means of controlling the arithmetic power function of a unitary gate in a unitary transformation which expresses a quantum gate function as a tensor product of a single quantum. We present the results of evolutionary operation and projective measurement when we apply the proposed function embedding method to the ternary 2-qutrit cNOT gate and compare it with the existing methods.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1031-1039
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• 2010

The decathlon is an athletic event consisting of ten track and field events. Events are held over two consecutive days and the winners are determined by the combined performance in all. Performance is judged in meters, centimeters, minutes, and seconds. However, how to convert results into points is a difficult and controversial issue. We explored the distribution of decathlon results from the 1991 to 2009 using top 200 decathlons in the Olympic games and word championships. The conclusion is that the results from top level decathlon competition are normally distributed, and the current scoring system does not have the property that the performance with same difficulty should get same points. A new model for evaluating the decathlon score has been applied that display uniform characteristics over all events in order to meet the notion of allroundness. The proposed model is uniform over the events and support self-stabilization.

• Korea journal of population studies
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• v.35 no.1
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• pp.181-209
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• 2012

Employment form and gender as stratification factors may generate health disparities in Korea. Previous studies have examined the existence of health disparities by employment form and gender. However, few studies examined how the health disparities can be reduced effectively. This study intends to confirm the existence of health disparities between employment-gender groups and explore the effective health resources which can reduce the possible disparities. Using a national probability sample of Korean adults collected in 2011, we attempts to test the interaction effects between employment-gender groups and health resources on self-rated health. For health resources, 24 variables of five dimensions(social relationship, psychological resource, activity factor, health behavior, and usage of medical service) are taken into account. In results, first, the health levels of the other three employment-gender groups are worse than that of male-regular workers. Second, the effective health resources which can reduce the health disparities are different across the employment-gender groups. An effective health resource for female-nonregular workers is a peaceful relationship with her children. Effective health resources for male-nonregular workers are peaceful relationships with his parents and siblings, low stress, religious activity, and exercise. An effective health resource for female-regular workers is interpersonal trust. These results imply that personal or social interventions for health of specific disadvantaged groups need to focus on specific resources which are more effective for the groups.

• The Korean Journal of Applied Statistics
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• v.23 no.1
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• pp.13-28
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• 2010

Assuming a mixture distribution for credit evaluation studies, we discuss estimating threshold methods to minimize errors that default borrowers are predicted as non defaults or non defaults are regarded as defaults. A method by using statistical hypotheses tests, the most powerful test and generalized likelihood ratio test, for the probability density functions which are defined with the score random variable and the parameter space consisted of only two elements such as the default and non default states is proposed to estimate a threshold. And anther optimal thresholds to maximize classification accuracy measures of the accuracy and the true rate for ROC and CAP curves are estimated as equations related with these probability density functions. Three kinds of optimal thresholds in terms of the hypotheses testing, the accuracy and the true rate are obtained from normal random samples with various means and variances. The sums of the type I and type II errors corresponding to each optimal threshold are obtained and compared. Finally we discuss about their efficiency and derive conclusions.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1453-1463
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• 2016

The most useful financial risk measure may be VaR (Value at Risk) which estimates the maximum loss amount statistically. The VaR tends to be estimated in many industries by using transformed univariate risk including variance-covariance matrix and a specific portfolio. Hong et al. (2016) are defined the Vector at Risk based on the multivariate quantile vector. When a specific portfolio is given, one point among Vector at Risk is founded as the best VaR which is called as an alternative VaR (AVaR). In this work, AVaRs have been investigated for multivariate normal distributions with many kinds of variance-covariance matrix and various portfolio weight vectors, and compared with VaRs. It has been found that the AVaR has smaller values than VaR. Some properties of AVaR are derived and discussed with these characteristics.

• Journal of Labour Economics
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• v.34 no.3
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• pp.81-117
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• 2011

This study examined how firms responded to the articles regarding the prohibition or correction of discrimination against fixed-term workers in the 'fixed-term worker protection law', which has been effective since July of 2007 in Korea. Data used cone from the Korean Workplace Survey, and a difference-in-differences method was employed for the identification of the causal effect, noting that the 'discrimination prohibition law' has been applied to firms over stages based on their sizes. The empirical results show no strong evidence that the law played a positive role in reducing differentials between permanent workers and fixed-term workers in the areas of wage and various employee benefits, including the provision of severance pay, annual leave, and 4 major social insurances for fixed-term workers. A more thorough future analysis on the causes of the insignificant impact of the law in some employee welfare benefits, along with supplemental policies, is needed to have the law achieve the desired goal of removing discrimination at the workplace.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.55-67
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• 2012

Real-time image georeferencing is required to generate spatial information rapidly from the image sequences acquired by multi-sensor systems. To complement the performance of position/attitude sensors and process in real-time, we should employ on-line aerial triangulation based on a sequential estimation algorithm. In this study, we thus attempt to derive an efficient on-line aerial triangulation algorithm for real-time georeferencing of image sequences. We implemented on-line aerial triangulation using the existing Given transformation update algorithm, and a new inverse normal matrix update algorithm based on observation classification, respectively. To compare the performance of two algorithms in terms of the accuracy and processing time, we applied these algorithms to simulated airborne multi-sensory data. The experimental results indicate that the inverse normal matrix update algorithm shows 40 % higher accuracy in the estimated ground point coordinates and eight times faster processing speed comparing to the Given transformation update algorithm. Therefore, the inverse normal matrix update algorithm is more appropriate for the real-time image georeferencing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.228-236
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• 2017

This study examined the effects of college students' voluntary delayed graduation for employment preparation on their employment outcomes. For this purpose, the data were obtained from the 2014 Graduates Occupational Mobility Survey(GOMS). First, the study analyzed the effects of college students' voluntary delayed graduation for employment preparation on their employment status. Second, the study investigated the effect of college students' voluntary delayed graduation for employment preparation on the wage of their first job. The results showed that students who experienced leave for employment preparation were more likely than others to be employed. In addition, those students who delayed their graduation for employment were more likely than others to earn higher wages on their first job. From these findings, this research shows that firms should present specific criteria of recruitment for job applicants. In addition, the colleges should enhance the short term program for work experience during higher education. Finally, the government should intervene in dual labor market to reduce the inequality and decrease the college students' anxiety about their first-job.