• Journal of Applied Reliability
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• v.17 no.3
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• pp.188-196
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• 2017

Purpose: The purpose of this research is to determine optimal replacement age using non-informative prior information and Bayesian method. Methods: We propose a novel approach using Bayesian method to determine the optimal replacement age in block replacement policy by defining the prior probability with data on failure time and repair time. The Marcov Chain Monte Carlo simulation is used to investigate the asymptotic distribution of posterior parameters. Results: An optimal replacement age of block replacement policy is determined which minimizes cost and nonoperating time when no information on prior distribution of parameters is given. Conclusion: We find the posterior distribution of parameters when lack of information on prior distribution, so that the optimal replacement age which minimizes the total cost and maximizes the total values is determined.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.4
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• pp.279-287
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• 2017

The aim of this study is to verify the difference in the level of happiness and preparation for old age according to the general characteristics of senior welfare center attendees. The subjects of the study were 148 attendees of OO senior welfare center in Seoul and a survey was conducted from July 4 to October 7, 2016. The method of analysis was by using the SPSSWIN 18.0 program, a 5% level of significance was verified in a frequency analysis, t-test, one-way ANOVA, correlation analysis, and multiple regression analysis. The results showed that first, from investigating the difference in the level of preparation for old age according to general characteristics, there was a significant difference according to age, occupation, monthly income, and physical condition but there was no significant difference according to gender and level of education. Second, as a result of observing the difference in the level of happiness according to general characteristics, although there was a significant difference according to occupation and monthly income, the difference level according to gender, age, level of education, health condition was less than a 5% level of significance. Third, from observing the correlation between the level of happiness and preparation of old age, it was found that happiness was positively correlated to preparation for old age in the following order: physical preparation for old age ((r=.576, p<.001), economic preparation for old age (r=.570, p<.001), psychological preparation for old age (r=.526, p<.001), social preparation for old age (r=.525, p<.001). It is forecasted that this study will be used as base line data for improvement of happiness and preparation for old age for the elderly according to general characteristics.

• The Journal of the Acoustical Society of Korea
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• v.38 no.5
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• pp.593-600
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• 2019

The similarity in tones between speakers can lower the performance of speaker verification. To improve the performance of speaker verification systems, we propose a multi-task learning technique using deep neural network to learn speaker information and age information. Multi-task learning can improve generalization performances, because it helps deep neural networks to prevent hidden layers from overfitting into one task. However, we found in experiments that learning of age information does not work well in the process of learning the deep neural network. In order to improve the learning, we propose a method to dynamically change the objective function weights of speaker identification and age estimation in the learning process. Results show the equal error rate based on RSR2015 evaluation data set, 6.91 % for the speaker verification system without using age information, 6.77 % using age information only, and 4.73 % using age information when weight change technique was applied.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1721-1737
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• 2020

Human apparent age estimation has become a popular research topic and attracted great attention in recent years due to its wide applications, such as personal security and law enforcement. To achieve the goal of age estimation, a large number of methods have been pro-posed, where the models derived through the cumulative attribute coding achieve promised performance by preserving the neighbor-similarity of ages. However, these methods afore-mentioned ignore the geometric structure of extracted facial features. Indeed, the geometric structure of data greatly affects the accuracy of prediction. To this end, we propose an age estimation algorithm through joint feature selection and manifold learning paradigms, so-called Feature-selected and Geometry-preserved Least Square Regression (FGLSR). Based on this, our proposed method, compared with the others, not only preserves the geometry structures within facial representations, but also selects the discriminative features. Moreover, a deep learning extension based FGLSR is proposed later, namely Feature selected and Geometry preserved Neural Network (FGNN). Finally, related experiments are conducted on Morph2 and FG-Net datasets for FGLSR and on Morph2 datasets for FGNN. Experimental results testify our method achieve the best performances.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.237-240
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• 2014

Recent information and technology is strongly targeted at the young generation, but little research has been undertaken on the older generation. The 55~79 age group was over 1,000,000 people in 2012. As a result, the problems of the information gap and of job creation for older people is becoming a critical social challenge. Because of this need, this research aims to suggest study method to reduce the information gap through informatization education for people of advanced age. Through this, older people can be mentors and play a key role in society as well as contributing to reduce social conflicts. This research is undertaken based on elderly IT volunteers, and is expected to solve the information gap problem through advanced age IT education and job creation with talent donation.

• Journal of Korean Library and Information Science Society
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• v.28
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• pp.479-503
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• 1998

This paper examines the effects of the Internet on the librarianship and how the changing roles of libraries and librarians are reshaping the way they serve the users in the information age. Each area of operations and services in a so-called Digital/Electronic Library, which is a phenomenon occurring now not sometime later in the future, is reviewed. The importance of keeping in mind the library' main mission of providing a service, i.e. access to information, is stressed as the pivotal point of librarianship in this global society influenced by the presence of the Internet.

• Journal of Fashion Business
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• v.11 no.1
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• pp.97-107
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• 2007

The purpose of this study was to examine the relationship structure in discount store focusing on age. Subjects for this study were 360 customers who had purchased fashion products in discount stores. For date analysis, $x^2$-test and regression analysis were used. As the result, when comparing groups by the age, women in their 20s, 30s and 40s had 'relationship maintenance intention' through satisfaction, trust and commitment. In the case of women in their 20s group, the information, reputation, product salesperson and price variables had the effects on satisfaction. The information, location, salesperson variable had direct effect on relationship maintenance. In the case of women in their 30s group, the benefits, information, reputation and price variables had the effects on satisfaction. And the information, salesperson variable had direct effect on relationship maintenance. In the case of women in their 40s group, the information, location and price variables had the effects on satisfaction. The reputation variable had direct effect on relationship maintenance. Based on these results, fashion marketing strategies of discount store would be suggested.

• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.48-55
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• 2012

The purpose of this study was to review the results of previous researches related to cognitive age and to verify variables related to cognitive age. Using the key words of cognitive age, subjective age, self-perceived age and age difference from major academic databases in Korea (KISS), the related research articles were collected and analyzed. The results of this study were as follows: First, educational level and marital status were related to cognitive age but its relationship to the other demographic variables were inconsistent. Second, self-esteem and life satisfaction were associated with cognitive age. Third, consumer behavior such as information-seeking behavior, impulsive buying orientation and brand sensitivity and clothing behavior such as apparel shopping orientation and fashion leadership were related to cognitive age.

• Journal of Korean Society for Quality Management
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• v.35 no.1
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• pp.136-141
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• 2007

For many products failures depend on age and usage and, in this case, failures are random points in a two-dimensional plane with the two axes representing age and usage. Models play an important role in decision-making. In this research, an accelerate failure test (AFT) model is proposed to deal with the two-dimensional data. The parameters are proposed to be estimated through maximum likelihood estimators.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.103.2-103.2
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• 2011

We measure the degree of polarization of the lunar regolith to map the distributions of the age and the particle size. We use a 12cm refracting telescope with a 2k-square pixel color CCD (R band) and a polarization filter. The angular resolution obtained is 3.02 km/pixel. Our goal is to obtain a map of the lunar particle size distribution on the lunar regolith and then that of the age distribution. Polarization of the light scattered by lunar surface contains information on their mean particle size. The mean particle size of the lunar surface has been decreased by continued micro-meteoroid impact over a long period. One can estimate the age of the lunar surface if the mean particle size is known. Particle sizes can be measured through observations of polarization because the mean particle size is related to the maximum polarization and albedo. The age and the particle size of the lunar regolith can give vital information for the future lunar exploration.