• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.589-603
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• 2023

Deep generative models target to infer the underlying true data distribution, and it leads to a huge success in generating fake-but-realistic data. Regarding such a perspective, the data attributes can be a crucial factor in the data generation process since non-existent counterfactual samples can be generated by altering certain factors. For example, we can generate new portrait images by flipping the gender attribute or altering the hair color attributes. This paper proposes counterfactual disentangled variational autoencoder generative adversarial networks (CDVAE-GAN), specialized for data attribute level counterfactual data generation. The structure of the proposed CDVAE-GAN consists of variational autoencoders and generative adversarial networks. Specifically, we adopt a Gaussian variational autoencoder to extract low-dimensional disentangled data features and auxiliary Bernoulli latent variables to model the data attributes separately. Also, we utilize a generative adversarial network to generate data with high fidelity. By enjoying the benefits of the variational autoencoder with the additional Bernoulli latent variables and the generative adversarial network, the proposed CDVAE-GAN can control the data attributes, and it enables producing counterfactual data. Our experimental result on the CelebA dataset qualitatively shows that the generated samples from CDVAE-GAN are realistic. Also, the quantitative results support that the proposed model can produce data that can deceive other machine learning classifiers with the altered data attributes.

• Journal of applied mathematics & informatics
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• v.42 no.3
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• pp.607-623
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• 2024

This article studies the effects of heat generation/absorption and thermal radiation on the unsteady magnetohydrodynamic (MHD) Casson fluid flow past a vertical plate through rotating porous medium with constant temperature and mass diffusion. It is assumed that the plate temperature and concentration level are raised uniformly. For finding the exact solution, a set of non-dimensional partial differential equations is solved analytically using the Laplace transform technique. The influence of various non-dimensional parameters on the velocity are discussed, including the effects of the magnetic parameter M, heat generation/absorption Q, thermal radiation parameter R, Prandtl number Pr, Schmidt number Sc, permeability of porous medium parameter, Casson fluid parameter γ, on velocity, temperature, and concentration profiles, which are discussed through several figures. It is found that velocity, temperature, and concentration profiles in the case of heat generation parameter Q, Casson fluid parameter γ, thermal Grashof number Gr, mass Grashof number Gc, Permeability Porous medium parameter K, and time t have retarding effects. It is also seen that the magnetic field M, Thermal Radiation parameter R, Prandtl field Pr, Schmidt number Sc have reverse effects on it.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.313-322
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• 2019

This study poses a question on whether the Jangmadang Generation, which has been the focus of the sociological interest, can form an actual generation by transcending the social classes, status of students, ethnicity, and gender, etc. Therefore, in this study, the author compared the consciousness of the Jangmadang Generation in terms of politics, education, society, compliance with law, and education with their preceding generations. The data used in this study were gathered from the North Korean defectors who defected within the past five years over the period from November to December 2016. A total of 200 questionnaires were used for data analysis, which was conducted using SPSS 20.0, in order to show differences between groups and perform frequency analysis. The analysis results showed that the consciousness of the Jangmadang Generation in politics, society, compliance, and education was lower, while the economic consciousness was significantly higher compared to earlier generations. As their objective generational status, the Jangmadang Generation had experienced the 'March of Ordeal' and 'Collapse of Public Education' while they were still teenagers. Such a difference in their generational status influenced the formation of different consciousness as a generation compared to the earlier generations. Compared to the earlier generations who received 'proper public education,' the Jangmadang Generation, who did not receive 'decent public education' shows a generally lower level of consciousness compared to the earlier generations. As such, the Jangmadang Generation has the potential to form a separate generation with a different generation consciousness from that of earlier generations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.755-765
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• 2021

The objectives of this study are to subdivide the group of elderly population into the liberation generation as a poor generation that experienced the barley hump, and the baby boom generation to verify differences in the mean of social capital and well-being between those groups of two generations, to verify the effects of social capital on the well-being, and then to review differences between those groups of two generations regarding the effects of subfactors of social capital on the well-being. This study collected and analyzed data from 200 people excluding missing values from the baby boom generation and liberation generation born in 1945-1963, in the D region from July 1st to July 31st, 2018. The main results of this study are as follows. in the results of comparatively reviewing the social capital having effects on the well-being of each group of liberation generation and baby boom generation, when relieving the statistical significance level to 90%, the network was working as a variable having effects on both groups. In this case, when mutually comparing the influence of regression coefficient as �� value, the network had a relatively larger effect on the well-being of the liberation generation.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.338-341
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• 1994

In this paper we propose a method to generate a multisyllable onsense wordest for the purpose of synthetic speech assessment and applies th ewordest to assess one commercial text-to-speech system. Some results about the experiment is suggested and it is verified that the generated nonsense wordset can be used to assess the intelligibility of the synthesizer in phoneme level or in phonemic environmental level. From the experimental results it is verified that such multi-syllable nonsense wordset can be useful for the assessment of synthesized speech.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1013-1016
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• 1998

A method for generation of design verification tests from behavior-level VHDL program is presented. Behavioral VHDL programs contain multiple communicating processes, signal assignment statements. So for large, complex system, it is difficult problem to test or simulation. In this paper, we proposed a new hardware design verification method. For this method generates control flow graph(CFG.) and process modeling graph(PMG) in the given under the testing VHDL program. And this method proved very effective that all the assumed design errors could be detected.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.10
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• pp.1121-1232
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• 1990

A hierarchical neural network structure is described for robot PTP trajectory planning. In the first level, the multi-layered Perceptron neural network is used for the inverse kinematics with the back-propagation learning procedure. In the second level, a saccade generation model based joint trajectory planning model in proposed and analyzed with several features. Various simulations are performed to investigate the characteristics of the proposed neural networks.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.965-966
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• 2006

As billion transistors system-on-chip (SoC) design becomes a reality, the productivity gap between rapidly increasing design complexity and designer productivity lagging behind is becoming a more serious problem to be solved. To reduce the gap, we present a system that generates executable transaction level models automatically. It speed up the SoC design space exploration process at various abstraction levels.

• Journal of KIISE:Software and Applications
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• v.26 no.2
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• pp.321-333
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• 1999

본 논문은 퍼지 하이퍼그래프(fuzzy hypergraph)를 확장하여 타입-2 퍼지 하이퍼그래프를 정의하고, 이렇게 정의된 그래프의 듀얼( dual)을 소개한다. 그리고 하이퍼그래프의 시스템 분석력을 증대시키기 위하여 원소와 에지(edge)의 인접한 정도를 나타내는 인접도(adjavent level)를 확장하여 퍼지 인접도를 정의한다. 이와 같이 정의된 인접도를 새로이 정의된 타입-2 퍼지 하이퍼그래프에 적용하여 하이퍼그래프의 시스템 분석능력을 증대시킴을 보인다.

• Journal of the Korean Statistical Society
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• v.29 no.1
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• pp.45-62
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• 2000

Rotation design is a sampling technique to reduce response burden and to estimate the population characteristics varying in time. Park and Kim(1999) discussed a generation of one-level rotation design which is called as {{{{r_1^m ~-r_2^m-1}}}} design has more applicable form than existing before. In the structure of {{{{r_1^m ~-r_2^m-1}}}} design, we derive the exact variances of generalized composite estimators for level, change and aggregate level characteristics of interest, and optimal coefficients minimizing their variances. Finally numerical examples are shown by the efficiency of alternative designs relative to widely used 4-8-4 rotation design. This is continuous work of Part Ⅰ studied by Park and Kim(1999).